Table of Contents
Overview
Definition and Scope
Structural geology is defined as the scientific discipline that focuses on the study of how rocks deform and the processes involved in deformation. This field examines the changes in shape, position, and volume of rocks in response to applied forces, which is closely related to the concept of strain, defined as the permanent change in shape under stress.[1.1] The scope of structural geology encompasses a comprehensive analysis of deformation structures, including their geometry, field relations, geographic distribution, and genesis.[2.1] It investigates the three-dimensional distribution of rock units in relation to their deformational histories, aiming to utilize present-day rock geometries to glean insights into the history of deformation and the stresses that have acted upon the rocks.[3.1] Historically, structural geology has made significant advancements, particularly in the first half of the twentieth century, largely due to studies of metamorphic rocks. Pioneering work by researchers such as Bruno Sander and Walter Schmidt in the early 1930s introduced 'petrofabric analysis,' which focuses on the spatial relationships among minerals within rocks and the movements that may have produced them.[4.1] The field addresses a wide range of geological features, from submicroscopic lattice defects in crystals to large-scale structures such as mountain belts and plate boundaries. Structural geology categorizes these features into primary structures, which are formed during the genesis of a rock, and secondary structures, which develop as a result of subsequent deformation.[5.1] The methods employed in structural geology are diverse, reflecting the complexity of geological processes and the various scales at which they operate.[6.1]Importance in Geology
Structural geology is essential for understanding the deformation and arrangement of rocks within the Earth's crust, which has significant implications for various geological applications, particularly in resource exploration and risk assessment. One of the primary roles of structural geology is in reservoir characterization, where it aids in evaluating hydrocarbon potential by analyzing structural features such as traps, conduits, and seals.[16.1] Structural traps, including anticlines and fault blocks, are critical for hydrocarbon accumulation, contributing significantly to global oil and gas reserves.[19.1] The integration of structural geology with seismic imaging techniques enhances the interpretation of subsurface geological structures. Seismic imaging allows for the analysis of seismic wave propagation and reflection, providing insights into subsurface features that traditional field mapping methods may not reveal.[7.1] Furthermore, seismic attributes can differentiate between lithological characteristics and fluid effects, thereby improving the identification of geological features.[8.1] The advancement of seismic geomorphology has expanded the scope of seismic stratigraphic interpretation beyond two-dimensional cross-sections to include high-resolution imaging of past depositional environments.[9.1] In addition to resource exploration, structural geology plays a vital role in understanding the stress and strain within the Earth's crust, which influences the formation of geological structures such as faults and folds. The response of rocks to stress is contingent upon various factors, including rock type, temperature, pressure conditions, and the duration of stress application.[22.1] By studying these factors, geoscientists can gain insights into the processes that shape the Earth's geological features, thereby enhancing our overall understanding of geological dynamics.History
Development of Key Theories
The development of key theories in structural geology has evolved significantly over the past several decades, reflecting both classical concepts and modern advancements. A comprehensive account of structural geology emphasizes the importance of geometrical analysis techniques, which provide a foundational understanding of geological deformation mechanisms and their analysis.[47.1] The integration of field, experimental, and theoretical studies has led to a balanced perspective on modern structural geology, highlighting the importance of various methodologies in advancing the field.[48.1] The establishment of The Journal of Structural Geology (JSG) in 1979 represented a pivotal moment in the field of structural geology. Initiated by Paul Hancock, the journal was created to fulfill the need for a specialized platform dedicated to structural geology, distinguishing itself from existing publications that primarily focused on geotectonics, regional structural geology, and plate tectonics.[52.1] Over the past 40 years, significant advances in structural geology have been highlighted, including the exploration of near-orthogonal deformation history and polymetamorphic evolution, which have provided valuable comparisons and insights into the discipline.[58.1] Recent advancements in technology have significantly transformed the field of structural geology, particularly through the development of sophisticated geochronological techniques. These techniques have allowed geoscientists to link age determinations with rock microstructures and deformational fabrics, providing crucial insights into the strain history and temporal evolution of geological structures.[57.1] Furthermore, the emergence of digital tools, including geological and seismic software, has ushered in a golden era for geology. These tools facilitate enhanced collaboration among geologists by enabling real-time data sharing and communication, allowing teams to work together effectively regardless of geographical distances.[63.1] Additionally, rapid advances in machine learning have revolutionized seismic analysis, enabling geoscientists to conduct fault detection analysis in a matter of hours and generate detailed seismic volumes that capture structural and stratigraphic details efficiently.[65.1] High-resolution seismic tomography has also played a pivotal role in this transformation, providing the ability to visualize the Earth's interior through detailed three-dimensional models created from seismic waves.[67.1]Methods And Techniques
Field Mapping
Field mapping is a crucial process in structural geology that involves making observations of geological structures in their natural settings and recording these observations on a base map to create geological maps.[104.1] This method is essential for understanding the three-dimensional distribution of rock units and their deformation histories, which are important for analyzing tectonic activities, fault formations, and fold structures.[88.1] The basic steps of geological mapping include field observation and measurement, taking samples, and analyzing these samples in a laboratory.[105.1] Geological mapping is inherently multidisciplinary, integrating aspects of petrology, structural geology, and geomorphology to provide a comprehensive understanding of geological features.[105.1] The information gathered through field mapping must be factual and thorough, based on objective examinations of rocks and exposures, ensuring accuracy in the representation of geological data.[104.1] The techniques employed in field mapping include the recording of various structural features such as folds, faults, and lineations. Geologists utilize direct measurements, photography, and sampling techniques to document these structures accurately.[103.1] Geological mapping is a multidisciplinary approach that integrates aspects of petrology, structural geology, and geomorphology, allowing for a comprehensive analysis of the geological landscape.[105.1] In the field, geologists differentiate between various types of folds and faults by observing their geometrical configurations and the stress fields that created them. The three-dimensional structural orientation is described using terms such as strike and dip, where strike refers to the horizontal intersection of a tilted surface, and dip indicates the angle of the surface down from the horizontal.[107.1] Understanding these parameters is crucial for interpreting geological maps that display complex structures, including folded and faulted formations.[106.1] Field mapping plays a crucial role in assessing the impact of structural features, such as deep-seated faults and folds, on fluid migration and reservoir quality in petroleum systems. These geological structures have become significant exploration targets due to their ability to control fluid migration and contribute to the formation of high-quality reservoirs.[116.1] Specifically, type-I faults are noted for having the greatest impact on fluid flow, while wells drilled into type-II fault zones demonstrate a higher capacity for oil production.[117.1] Furthermore, the integrity of fault and top seal is a key factor influencing the distribution of hydrocarbon fluid phases in the subsurface. Therefore, mapping fluid property distribution is essential for evaluating seal integrity and trapping mechanisms, which are critical elements in optimizing exploration and development strategies in petroleum systems.[119.1]Applications
Economic Geology
Advancements in technology, particularly in the fields of deep learning and 3D seismic imaging, have significantly enhanced the interpretation of structural geology, particularly in petroleum exploration. Recent studies have introduced neural network frameworks that integrate Transformer and Convolutional Neural Network (CNN) architectures, utilizing Adaptive Spatial Feature Fusion (ASFF) to achieve high-resolution seismic imaging. This approach allows for direct mapping of seismic data to reflection models, thereby eliminating the need for post-processing of low-resolution results and enabling a more accurate capture of subtle underground structural features.[151.1] The field of global seismology is currently experiencing a renaissance, driven by innovations in sensing technologies, big data, high-performance computing, and advanced algorithms. These advancements facilitate the detection of smaller seismic events, the mapping of hidden fault structures, and the creation of detailed 3D models of the Earth's interior. Such capabilities are crucial for understanding the dynamics of our planet and have profound implications for resource management in petroleum exploration.[152.1] Moreover, the challenges associated with deepwater seismic data acquisition and processing, particularly due to complex subsurface conditions, are being addressed through the application of machine learning and advanced signal processing techniques. These technologies enhance seismic inversion and reservoir characterization, allowing for real-time analytics and time-lapse monitoring, which are essential for effective resource management.[153.1] As a result, the integration of these technological advancements not only improves the accuracy of geological interpretations but also optimizes the exploration and management of petroleum resources.Engineering Geology
Structural geology plays a critical role in engineering geology, particularly in assessing the stability of slopes and underground excavations. The stability of these structures is generally influenced by the geological structure present in the rock mass, making it essential to adequately assess this factor.[141.1] The potential for instability is contingent upon the tectonic events that led to the formation of these structures, as well as their orientation and characteristics, including width, infill, and strength.[142.1] Therefore, a comprehensive evaluation of these geological factors is vital for understanding the stability of mineral deposits and ensuring safe drilling practices in mining operations.[142.1] In mining, structural geology plays a crucial role in various aspects, including the selection of drilling locations, the understanding of the shape and distribution of mineral deposits, and the assessment of slope stability and safety.[136.1] It is particularly important for regional, district, and orebody-scale exploration and development, especially in sedimentary rock-hosted gold deposits.[137.1] The integration of structural geological data into mining project planning is essential for optimizing resource extraction while minimizing environmental impacts. This integration involves the creation of detailed three-dimensional models that illustrate underground structures, including fault lines, rock layers, and potential weak zones that may influence construction and mining operations.[158.1] Such 3D models provide a solid foundation for engineering design and help define controls on geotechnical domains, as well as understand the influences on mining-induced seismicity.[155.1] Moreover, utilizing effective structural geology can lead to significant cost savings in drilling, improved success rates, and enhanced shareholder value, emphasizing the necessity of advanced 3D structural geology work over traditional 2D methods.[157.1] Moreover, the use of advanced software tools, such as RS2, allows for the modeling of complex geological structures and the assessment of mine workings' stability by considering various parameters, including rock characteristics and hydrogeological conditions.[143.1] This technological integration is crucial for developing effective ground control and support systems, which are fundamental to safe and sustainable mining practices.[145.1]In this section:
Recent Advancements
Technological Innovations
Recent advancements in structural geology have been profoundly shaped by technological innovations, particularly in remote sensing and geophysical methods. Remote sensing technologies enable geologists to monitor changes over time, providing critical insights into geological processes and enhancing the accuracy of geological models and predictions.[187.1] For example, geologists utilize LiDAR to study geological features such as fault lines and landslide areas, which aids in understanding sediment transport and deposition patterns, as well as erosion rates over large areas.[187.1] Geographic Information Systems (GIS) significantly enhance how geologists analyze and visualize data, allowing for the creation of detailed maps and models of geological features.[187.1] Furthermore, the integration of advanced technologies, including ground-penetrating radar (GPR) and drone surveys, contributes to a deeper understanding of subsurface geology and assists in predicting geological events.[187.1] These innovations not only facilitate effective management of natural resources but also support environmental conservation efforts.[187.1] Recent advancements in technological innovations have significantly transformed the field of structural geology, particularly through the integration of Geographic Information Systems (GIS) and remote sensing technologies. GIS enhances the analysis and visualization of geological data, allowing geologists to create detailed maps and models of geological features, which facilitates a better understanding of regional geology.[187.1] Additionally, remote sensing technologies enable the monitoring of geological changes over time, providing critical insights into geological processes and improving the accuracy of geological models and predictions.[187.1] Furthermore, advancements in geophysical technologies have provided new insights into subsurface geology, thereby enhancing the exploration of mineral and hydrocarbon resources.[182.1] The field of exploration geophysics has evolved into a multidisciplinary endeavor, combining traditional techniques with cutting-edge innovations to determine the mechanical, magnetic, and electric properties of rocks, which supports geological explorations for various resources.[184.1] These technological advancements collectively contribute to a more comprehensive approach to geological exploration and resource recovery. Recent advancements in remote sensing and the use of Geographic Information System (GIS) software have significantly transformed geoscience, particularly in the realm of mineral exploration. These technologies have simplified the process of identifying structural geology, allowing for a more efficient analysis of subsurface structures compared to traditional fieldwork techniques.[186.1] High-resolution investigations in geomorphology, stratigraphy, and structural geology have provided a detailed understanding of seismic deformations, which encompass various stages of earthquake cycles, including co-seismic, post-seismic, and inter-seismic phases.[179.1] Furthermore, structural geology plays a crucial economic role in the hydrocarbon and mineral exploration industries, as geological structures influence the migration, trapping, and escape of hydrocarbons and ore-bearing fluids.[176.1] The integration of advanced structural analysis not only refines geological models but also enhances exploration targeting, thereby improving the precision of mineral discoveries and resource recovery in specific mining projects.[180.1]Modeling and Simulation Techniques
Recent advancements in structural geology have significantly enhanced modeling and simulation techniques, particularly through the integration of machine learning and geophysical methods. The combination of machine learning techniques with geophysical methods such as seismic refraction tomography (SRT) and electrical resistivity tomography (ERT) has improved the interpretability of subsurface geological structures, especially in identifying fault zones. This integration has been successfully applied in various engineering contexts, including slope instability assessment, sinkhole detection, and underground construction monitoring, among others.[199.1] Moreover, advancements in computing capacity have enabled geologists to pursue more sophisticated lithostratigraphic identification, framing it as a classification problem. Various machine learning methods have been employed for lithostratigraphic classifications of one-dimensional well-logging data and two-dimensional geological maps or images, thereby enhancing the accuracy of subsurface modeling.[200.1] Additionally, the application of multi-scale, litho-geochemical, and petrophysical data in reflection seismology has led to a deeper understanding of subsurface properties, which, when integrated with geophysical data, plays a crucial role in improving modeling accuracy.[201.1] Deep learning techniques have also emerged as powerful tools for automatic fault recognition in three-dimensional seismic datasets. Recent studies have demonstrated the effectiveness of deep convolutional neural networks in seismic fault interpretation, showcasing the potential of these advanced methodologies to streamline and enhance the accuracy of subsurface geological assessments.[202.1] In urban settings, the adoption of the Sendai Framework for Disaster Risk Reduction has underscored the need for real-time data to assess structural risks associated with seismic events. This approach facilitates the creation of seismic risk and shake maps, enabling rapid evaluation and coordination during disasters.[205.1] Traditional seismic vulnerability and risk assessment methods, while accurate at the building scale, often face limitations in efficiency and cost when applied to urban-scale regions. Recent advancements in structural geology aim to address these challenges by developing empirical vulnerability and risk models that utilize real seismic loss observation data, providing valuable insights for predicting and evaluating urban earthquake resilience.[207.1] Furthermore, hybrid intelligent models have been employed to standardize and superimpose seismic probability and vulnerability, allowing for a comprehensive assessment of urban seismic risk. This methodology has been applied in specific case studies, such as Hefei, where the spatial characteristics of overall seismic risk were examined, demonstrating the practical implications of these advancements in disaster preparedness planning.[208.1]In this section:
Technological InnovationsRemote SensingLandslideSediment TransportGeographic Information Systems
Challenges And Future Directions
Environmental Considerations
The orientation of faults and geological structures is crucial not only for mining safety but also for understanding environmental impacts associated with mining activities. Fault orientation affects the likelihood of rockbursts, which are sudden and violent releases of energy from rock, posing significant risks to both miners and the surrounding environment.[263.1] The alignment of mining panels and the characteristics of faults, along with the orientation of far-field stress, are essential factors in predicting and mitigating these seismic events.[264.1] Mapped faults provide critical data on their location and orientation, which can be used to anticipate environmental impacts before mining begins. Fault planes, which may vary in dip and depth, influence the movement along these planes, leading to lateral variations in offset.[265.1] This variability necessitates the integration of fault coseismic slip considerations into environmental safety protocols, as such movements can trigger coal or rockbursts, complicating both mining operations and environmental management.[266.1] Understanding these geological structures is vital for developing comprehensive safety measures that protect both human and environmental health during mining operations.Integration with Other Disciplines
The integration of advanced technologies, particularly artificial intelligence (AI) and machine learning (ML), is significantly transforming the methodologies employed in structural geology. Structural geology focuses on the study of three-dimensional distributions of rock units and the mechanisms that cause their deformation. Within this field, seismic structural interpretation utilizes seismic reflection data to analyze subsurface geological structures. The advancement of machine learning technology, especially in image analysis methods such as computer vision, has opened new frontiers for this discipline. AI, particularly machine learning, can interpret geological data faster and often more effectively than traditional methods, enhancing the overall capabilities of structural geology.[232.1] Moreover, the application of artificial intelligence (AI) in three-dimensional geological structure analysis is becoming increasingly vital. Deep learning methods necessitate diverse labeled structural learning sets, leading to the establishment of a three-dimensional structural modeling framework that enhances the generalizability and flexibility of training sets.[233.1] This advancement is crucial for improving the accuracy and efficiency of geological assessments. Remote sensing techniques have also modernized structural geology, proving to be the most effective method for studying and mapping geological structures. These techniques facilitate data acquisition and are instrumental in detecting mineral-rich rocks, which is essential for mining operations.[234.1] Additionally, remote sensing aids in identifying fracture systems, which are critical for understanding groundwater and fluid movement, as well as for monitoring earthquake hazards.[235.1] High-resolution imaging technologies, such as high-resolution X-ray computed tomography (HRXCT), are non-destructive methods that allow for the visualization and analysis of internal structures within geomaterials. This capability enables researchers to fuse 3D data with chemical or structural information from other techniques, thereby providing deeper insights into geological processes.[246.1] Furthermore, the integration of deep learning with seismic imaging has led to the development of neural network frameworks that enhance the resolution of seismic data, allowing for better identification of subtle underground features.[247.1] Advancements in technology, particularly in three-dimensional (3D) geological property modeling and remote sensing, are significantly influencing mining operations by enhancing safety and efficiency. Traditional 3D geological modeling faces challenges in terms of both data and methodology, utilizing various data types such as geological borehole data, seismic data, geomorphological data, geophysical data, and satellite remote sensing data to quantitatively characterize geological attributes in three-dimensional space.[248.1] This modeling process includes two main components: grid model generation and property interpolation, which are essential for accurate geological representation.[249.1] In the context of open-pit coal mines, innovative approaches have been developed that combine digital elevation models (DEMs) and half-edge boundary representation (B-Rep) data structures. These methods facilitate the dynamic updating of geological models based on surface geological corrections, thereby improving the accuracy of slope geological modeling and enhancing the overall safety of mining operations.[250.1]In this section:
References
[1] PDF — Introduction to structural geology Structural geology is the study of how rocks deform and the processes of deformation. Deformation is the change in shape, position and/or volume of an object in response to applied forces. It is closely related to the concept of strain - the permanent change in shape (in 1D, 2D or
[2] Introduction to Structural Geology | SpringerLink — Structural geology encompasses the study of all aspects of the deformation structures such as their geometry, field relations, geographic distribution, genesis and related aspects. Rocks after their formation are subjected to stresses inside the earth. When the amount of applied stresses exceeds the strength of a rock, the latter yields to or accommodates the stresses by undergoing deformation
[3] Structural geology - Wikipedia — Structural geology is the study of the three-dimensional distribution of rock units with respect to their deformational histories. The primary goal of structural geology is to use measurements of present-day rock geometries to uncover information about the history of deformation ( strain ) in the rocks, and ultimately, to understand the stress
[4] Structural Geology - an overview | ScienceDirect Topics — Structural Geology. Structural geology made considerable progress in the first half of the twentieth century, often as a result of studies of metamorphic rocks. In the early 1930s, Bruno Sander and Walter Schmidt initiated 'petrofabric analysis': the study of spatial relations, including those between the individual minerals making up a rock, and the movements that could have produced
[5] Geology - Folds, Faults, Strata | Britannica — Geology - Folds, Faults, Strata: Structural geology deals with the geometric relationships of rocks and geologic features in general. The scope of structural geology is vast, ranging in size from submicroscopic lattice defects in crystals to mountain belts and plate boundaries. Structures may be divided into two broad classes: the primary structures that were acquired in the genesis of a rock
[6] Structural geology | Folds, Faults & Joints | Britannica — Structural geology | Folds, Faults & Joints | Britannica Science & Tech Science & Tech Science Ask the Chatbot Games & Quizzes History & Society Science & Tech Biographies Animals & Nature Geography & Travel Arts & Culture ProCon Money Videos structural geology Related Questions What are Earth sciences? Science Earth Science, Geologic Time & Fossils Earth Sciences structural geology Share to social media https://www.britannica.com/science/structural-geology See all related content structural geology, scientific discipline that is concerned with rock deformation on both a large and a small scale. A brief treatment of structural geology follows. For full treatment, see geology: Structural geology. The methods of structural geology are nearly as diverse as those of the geologic sciences as a whole.
[7] Deep learning for high-resolution seismic imaging - Nature — Seismic imaging techniques play a crucial role in interpreting subsurface geological structures by analyzing the propagation and reflection of seismic waves. However, traditional methods face
[8] Imaging and interpretation: Seismic, rock physics and image log ... — Seismic attributes help identify different geological features by revealing geomorphology, whereas the amplitude vs offset (AVO) can differentiate between the lithology and fluid effects. Different seismic attributes can highlight different characteristics of the seismic data, which can relate to different geological features.
[9] Principles of seismic stratigraphy and seismic geomorphology I ... — With seismic geomorphology, seismic stratigraphic interpretation was no longer limited to the analysis of 2D seismic cross-sections (i.e., interpretation of seismic unconformities and seismic facies), but also included high-resolution imaging of past depositional environments observed in map view).
[16] Petrophysical Properties and Hydrocarbon Assessment: Effective ... — Structural Geology Structural geology focuses on the deformation and arrangement of rocks within the earth's crust. It plays a vital role in reservoir evaluation, as structural features such as
[19] PDF — Take Home Ideas A productive petroleum basin requires a mature, organic-rich source rock Conventional oil deposits depend on traps where migrated oil is concentrated Common structural traps are anticlines, tilted fault blocks, and tilted beds below unconformities A trap must have 3D closure to work Hydrocarbons are stacked by density in a trap
[22] 10.1: Tectonic Stress and Geologic Structures — When stress causes a material to change shape, it has undergone strain or deformation. Deformed rocks are common in geologically active areas. A rock's response to stress depends on the rock type, the surrounding temperature, and pressure conditions the rock is under, the length of time the rock is under stress, and the type of stress.
[47] Structural Geology: Fundamentals and Modern Developments — This presents a comprehensive and up-to-date account of the fundamental aspects of structural geology, emphasising both classical concepts and modern developments. A detailed account of the techniques of geometrical analysis is provided, giving a sound background to principles of geological deformation and in-depth analysis of mechanisms of
[48] Structural Geology: Fundamentals and Modern Developments — Purchase Structural Geology: Fundamentals and Modern Developments - 1st Edition. Print Book & E-Book. ISBN 9780080418780, 9780080983998 ... describes modern techniques used in field and laboratory and offers a balanced picture of modern structural geology as it emerges from combined field, experimental and theoretical studies. Key features
[52] The development of structural geology and the historical context of the ... — The first issue of The Journal of Structural Geology (JSG) was published in 1979, 40 years ago. JSG was the brain child of Paul Hancock who convinced Pergamon Elsevier that there was a need for a specialised journal devoted to Structural Geology amongst existing journals that emphasised Geotectonics, Regional Structural Geology and Plate Tectonics.
[57] A perspective on the emergence of modern structural geology ... — Intrinsic to these advances are insights into the strain history, specifically through the temporal evolution of geologic structures. Increasingly sophisticated geochronological techniques have advanced the field of modern structural geology by allowing age determinations to be linked to rock microstructure and deformational fabrics, from which
[58] The development of structural geology and the historical context of the ... — The major advances in Structural Geology over the past 40 years are then highlighted. ... The sequence of near-orthogonal deformation history and the polymetamorphic evolution offer comparisons
[63] Advancements in Geology Through Technology — Advancements in technology have transformed geology into a more collaborative field. Digital tools, such as online platforms and virtual reality, facilitate communication among geologists. These tools allow professionals to share data and insights in real-time. Online platforms enable geologists to work together regardless of geographical distance.
[65] Trends in Geoscience Technology - Today and in the Near Future — Rapid advances in Machine Learning (ML) are transforming seismic analysis. Using these new tools, geoscientists can accomplish the following quickly and effectively: Run fault detection analysis in a few hours, not weeks; Identify thin beds down to a single seismic sample; Generate seismic volumes that capture structural and stratigraphic details
[67] PDF — Advances in Seismic Imaging High-resolution seismic tomography: High-resolution seismic tomography has revolutionized our ability to visualize the Earth's interior. This technique uses seismic waves generated by earthquakes or artificial sources to create detailed three-dimensional models of subsurface structures.
[88] Structural Geology: Techniques & Importance | Vaia — Structural geology is the branch of geology that focuses on studying the three-dimensional distribution of rock units and their deformation history. It plays a crucial role in understanding tectonic activities, fault formations, and fold structures, which are vital for fields like petroleum geology and earthquake mitigation.
[103] The Mapping of Geological Structures Geological Society of London ... — This handbook serves as a comprehensive guide for the field mapping and interpretation of geological structures, emphasizing the recognition, measurement, and analysis of structural data. It details systematic methodologies for data collection in the field, including direct measurements, photography, and sampling techniques.
[104] Geologic Mapping: Guide for Professionals and Students — Method of surface geological mapping: Geological mapping is the process of making observations of geology and structure in the field and recording them on a base map and reproduce. It is the form of a geological map. The information recorded must be factual and thorough based on objective examination of rocks and exposures. There are several
[105] PDF — geological mapping and know about how to read geological map. Basic steps of geological mapping consist of observation and measurement in the field, taking samples, and analyzing samples in a laboratory. Geological mapping is a multidisciplinary method that combines petrology, structural geology, geomorphology,
[106] Overview of Geological Structures Part 2: Folds, Faults, and ... — In Part II of geological structures, students will learn how stress and strain create more complex geological structures, and also how to interpret geological maps that display folded and faulted structures, as well as unconformities. Stress is a force applied to a given area. There are three main types of stress: compression, tension, and shear. 8.6 GEOLOGIC STRUCTURES CREATED BY PLASTIC & BRITTLE DEFORMATION 8.6.1 Folds Folds are geologic structures created by plastic deformation of Earth’s crust. If lateral displacement occurs, these fractures are referred to as faults.
[107] PDF — -Folds, faults, joints, foliation etc. -Often preserve information about stress fields. • 3-D structural orientation is described by strike and dip. -Strike -Horizontal intersection with a tilted surface. -Dip -Angle of surface down from the horizontal.
[116] Controls of Deep‐Seated Faults and Folds on Hydrocarbon Fluid Migration ... — Deep-seated faults and folds of foreland basin systems have become important exploration targets in the recent years because they are crucial in controlling fluid migration and ... along with the fractures, form a high-quality reservoir. Figure 8 (a) ... The deep-seated faults and folds have great petroleum conditions for hydrocarbon
[117] Frontiers | The Effect of Multi-Scale Faults and Fractures on Oil ... — The case study of oil reservoir development proves that type-I faults have the greatest impact on fluid flow, while wells drilled into the type-II faults zone have a higher oil production capacity. The oil production changes with the development degree of fractures in different scales, strikes, and positions of faults.
[119] Fluid characterization of oil and gas fields: implications for fault ... — Integrity of fault and top seal is a key factor that affects hydrocarbon fluid phase distribution in the subsurface. Mapping fluid property distribution can therefore provide important tools towards assessing seal integrity and trapping mechanisms - two of the most critical elements in petroleum systems analysis towards optimzing exploration and development strategies.
[136] What are the applications of Structural Geology in Mining and Geology ... — Structural geology is super useful in mining and geology. It's great for picking drilling spots, figuring out the shape of mineral deposits or ore bodies, checking slope stability and safety
[137] Use of structural geology in exploration for and mining of sedimentary ... — Structural geology is an important component in regional-, district- and orebody-scale exploration and development of sedimentary rock-hosted Au deposits. Identification of timing of important structural events in an ore district allows analysis and classification of fluid conduits and construction of genetic models for ore formation. The most practical uses of structural geology deal with
[141] (PDF) The influence of Geological Structures - Academia.edu — The stability of slopes and underground excavations is generally affected by the geologic structure that exists in the rock mass, and whether or not the influence of these has been adequately assessed. ... with an interpretation of the lateral and depth extensions according to the geological complexity of the deposit. Followed by an analytical
[142] The Influence of Geological Structures - OnePetro — The stability of slopes and underground excavations is generally affected by the geological structure of the rock mass, and it is important that this factor is adequately assessed. Whether instability will arise from the presence of the structures depends on the tectonic events that resulted in the formation of the structure, the orientation, characteristics (width, infill, strength, ability
[143] PDF — The RS2 software provides po-werful tools for modeling complex geological structures and assessing the stability of mine workings. Its functionality allows taking into account various parameters, such as mine working geometry, rock characteristics, hydrogeological conditions and load dynamics.
[145] Rock Solid Solutions: Geotechnical Aspects of Mining Engineering — Abstract: Geotechnical engineering, a cornerstone of mining operations, plays a critical role in ensuring safe, efficient, and sustainable resource extraction. This article explores the key geotechnical aspects in mining, including geological site characterization, rock mechanics, slope stability analysis, ground control and support systems, and tailings management. These aspects are pivotal
[151] Deep learning for high-resolution seismic imaging — Deep learning for high-resolution seismic imaging | Scientific Reports Leveraging recent advancements in deep learning, this study introduces a neural network framework that integrates Transformer and Convolutional Neural Network (CNN) architectures, enhanced through Adaptive Spatial Feature Fusion (ASFF), to achieve high-resolution seismic imaging. Our approach directly maps seismic data to reflection models, eliminating the need for post-processing low-resolution results. The rise of deep learning technology has opened up new possibilities in the field of seismic exploration12,13,14,15,16,17,18,19, encompassing various aspects such as data processing, imaging, and inversion. Through end-to-end processing using deep learning model, we achieve better capture of subtle underground structural features, thereby achieving higher resolution in seismic imaging.
[152] The New Age of Seismology: Breakthroughs in Technology and Data-Driven ... — The New Age of Seismology: Breakthroughs in Technology and Data-Driven Insights – Earth Inversion These innovations are enabling the detection of smaller seismic events, mapping hidden fault structures, and creating detailed 3D models of Earth's interior, opening new frontiers in understanding our planet's dynamics. The field of global seismology is experiencing a renaissance, with major advances driven by new sensing technologies, big data, high-performance computing, and innovative algorithms. With increased computational power, researchers can now create detailed 3D models of Earth’s interior using seismic data . # big data# Earth’s interior# earthquake detection# fault mapping# global seismology# high-performance computing# machine learning# seismic sensing# seismic tomography# seismology My research focuses on seismic data analysis, structural health monitoring, and understanding deep Earth structures.
[153] PDF — Keywords: Deepwater seismic data, 3D Imaging, 4D imaging, signal processing, machine learning, seismic inversion, reservoir characterization, real-time analytics, time-lapse monitoring Introduction Deepwater seismic data acquisition and processing face several challenges, primarily due to the complex subsurface conditions
[155] Structural Geology for Mine Geotechnics | SRK Consulting — We customize structural interpretations with integrated structural property descriptions and detailed 3D structural models. These interpretations form a solid foundation for engineering design and are used to define the controls on geotechnical domains and to understand influences on mining-induced seismicity. Services
[157] The Importance of Structural Geology in Mineral Exploration and Mining ... — Yet, mines need more structural geology. Using structural geology that matters saves on drilling costs, accelerates success rates, and optimizes shareholder value. For mineral discoveries, the best type of structural geology work is done in 3D; 2D is okay, but it is not enough.
[158] Role of geology in successful tunnelling and mining projects? — 3D modelling - Project planning; Modern geological mapping creates detailed three-dimensional models of underground structures. These models show fault lines, rock layers, and weak zones that might affect construction. Project teams use this data to optimize tunnel alignments and mining sequences. Geophysical surveys - Underground imaging
[176] Applied Sciences | Special Issue : Advances in Structural Geology - MDPI — Structural geology has a great economic impact in the hydrocarbon and mineral exploration industry, as structures control the migration, trapping and escape of hydrocarbons and ore-bearing fluids. ... This Special Issue of Applied Sciences focuses on recent advances in structural geology using traditional fieldwork data, assisted by remote
[179] High-resolution geological studies of seismogenic structures — High-resolution investigations in geomorphology, stratigraphy, and structural geology allow for a detailed understanding of the spatial and temporal characteristics of seismic deformations, encompassing co-seismic, post-seismic, and inter-seismic stages, potentially spanning multiple earthquake cycles. ... Recent advancements in frictional
[180] Structural Geology: Key to Mineral Exploration Success in 2025 — Structural Geology: Key to Mineral Exploration Success in 2025 The Critical Role of Structural Geology in Mineral Exploration FAQ: Structural Geology in Mineral Exploration Discover how structural geology revolutionizes mineral exploration by revealing critical geological insights and boosting discovery precision with advanced analytical techniques. Many misconceptions haunts structural geology analysis, affecting mineral exploration strategies significantly. In summary, advanced structural analysis not only refines our geological models but also paves the way for more accurate exploration targeting. Such successes reinforce the Importance of Structural Geology in Mineral Exploration. FAQ: Structural Geology in Mineral Exploration How does structural geology improve mineral exploration? Discovery Alert's proprietary Discovery IQ model provides real-time, actionable insights into mineral exploration discoveries, transforming complex geological data into immediate investment opportunities.
[182] A Review of Recent Advancements in Geophysical Technologies and Their ... — Geophysical technologies have undergone significant advancements in recent years, providing new insights into the subsurface and enhancing the exploration of mineral and hydrocarbon resources.
[184] Editorial for the Special Issue “Recent Advances in Exploration ... — Exploration geophysics aims to determine rocks' mechanical, magnetic, and electric properties to support geological explorations for ore, minerals, and other resources [].Scientific and technological progress has revolutionized methods of exploration geophysics, transforming the field into a multidisciplinary endeavor that combines traditional techniques with cutting-edge innovations [].
[186] Mineral exploration employing drones, contemporary geological satellite ... — Verma et al. (2021) posited that advances in remote sensing and the use of GIS software has revolutionised geoscience and simplified mineral exploration. This review is design to analyse trends, pitfalls and guide for future exciting research using remote sensing and GIS in mineral exploration. ... The method of identifying structural geology
[187] Advancements in Geology Through Technology — Remote sensing technologies allow for monitoring changes over time, providing critical insights into geological processes. Geologists can analyze these maps to understand regional geology better. Geologists use LiDAR to study geological features like fault lines and landslide areas. This technology enhances the accuracy of geological models and predictions. Geographic Information Systems (GIS) significantly enhance how geologists analyze and visualize data. This technology allows geologists to create detailed maps and models of geological features. Geologists use advanced simulations to model geological processes. GPR technology significantly advances our understanding of subsurface geology. Geologists apply advanced technologies to predict geological events. Geologists contribute to this initiative by analyzing satellite data for geological applications. The use of drones in geological surveys is another example of technological collaboration.
[199] Improving subsurface structural interpretation in complex geological ... — This study underscores the value of integrating machine learning techniques with geophysical methods such as SRT and ERT to improve interpretability and accurately identify subsurface geological structures, particularly in fault zone identification. Several studies have successfully applied SRT and ERT in different engineering applications, such as slope instability assessment (Solberg et al., 2016; Whiteley et al., 2020), sinkhole detection and ground deformation characterization (Jacob et al., 2018; Perrone et al., 2006; Su et al., 2021; Wang et al., 2022b), underground construction monitoring (Wang et al., 2022a), bedrock detection (Babacan et al., 2018; Hsu et al., 2010), geological fracture zoning (Edigbue et al., 2021; Hasan et al., 2018; Henaish et al., 2023; Hung et al., 2024), rock mass quality assessment (Danielsen and Dahlin, 2009; Klose et al., 2007), earthquake-induced liquefaction zone delineation (Baradello and Accaino, 2016; Khan et al., 2021), seepage inspection (Himi et al., 2018; Lin et al., 2018), and building defect study (Giocoli et al., 2019; Smyl et al., 2018).
[200] Deep Subsurface Pseudo-Lithostratigraphic Modeling Based on Three ... — In recent years, advancements in computing capacity have empowered geologists to pursue more intelligent lithostratigraphic identification. Lithostratigraphic identification can be framed as a classification problem, and a variety of machine-learning methods have been employed for litho-stratigraphic classifications of 1D well-logging and 2D geological maps or images.
[201] Seismic geomorphology: subsurface analyses, data integration and ... — This is an area of reflection seismology that continues to be developed, with recent work exploring how the application and combination of multi-scale, litho-geochemical, and petrophysical data can lead to an increased understanding of subsurface properties, which, when integrated with the geophysical data, can play an important role in
[202] A systematic review of deep learning for structural geological ... — An Y, Guo J, Ye Q, Childs C, Walsh J, Dong R (2021) Deep convolutional neural network for automatic fault recognition from 3d seismic datasets. An Y, Du H, Ma S, Niu Y, Liu D, Wang J, Du Y, Childs C, Walsh J, Dong R (2023) Current state and future directions for deep learning based automatic seismic fault interpretation: a systematic review. Bi Z, Wu X, Geng Z, Li H (2021) Deep relative geologic time: a deep learning method for simultaneously interpreting 3-d seismic horizons and faults. Hu G, Hu Z, Liu J, Cheng F, Peng D (2022) Seismic fault interpretation using deep learning-based semantic segmentation method. Wei X-L, Zhang C-X, Kim S-W, Jing K-L, Wang Y-J, Xu S, Xie Z-Z (2022) Seismic fault detection using convolutional neural networks with focal loss.
[205] Urban-Scale Earthquake Risk Management Utilizing Structural Health ... — With the adoption of the Sendai Framework for Disaster Risk Reduction, an important step was taken towards resilient cities. For cities under seismic risk, real-time data is needed for early diagnosis of the structural risk, creating seismic risk and shake maps, and evaluating the situation rapidly for disaster coordination and achieving rapid comeback to the normal flow of life. Structural
[207] Seismic risk and vulnerability models considering typical urban ... — The seismic risk and vulnerability of urban building clusters are fundamental indicators for quantifying urban seismic resilience. The empirical vulnerability and risk models developed using various risk probability assessment theories and real seismic loss observation data from typical building clusters can provide positive references for predicting and evaluating urban earthquake resilience
[208] A Hybrid Intelligent Model for Urban Seismic Risk Assessment from the ... — In the next step, the overall urban seismic risk was obtained by standardizing and superimposing seismic probability and vulnerability. Using the hybrid intelligent model, earthquake probability, seismic vulnerability, and overall seismic risk were obtained for Hefei, and the spatial characteristics of its overall seismic risk were examined.
[232] How to apply AI effectively for Structural Geology - HogoNext — Structural Geology deals with the study of three-dimensional distributions of rock units and the mechanisms that cause their deformation. AI, particularly machine learning (ML) and other subsets, can interpret geological data faster and often more effectively than traditional methods. AI's impact on Data Analysis and Interpretation
[233] A Three-Dimensional Geological Structure Modeling Framework and Its ... — Three-dimensional geological structure analysis is fundamental to geoscientific research. With the application of artificial intelligence in geological structure analysis, deep learning methods raise the demand for diversity in labeled structural learning sets. To improve the generalizability and flexibility of the training sets, a three-dimensional structural modeling framework is established
[234] Applications of Remote Sensing in Structural Geology - Grind GIS — Applications of Remote Sensing in Structural Geology Applications of Remote Sensing in Structural Geology Applications of Remote Sensing in Structural Geology The remote sensing technique has modernized the field of structural geology and has numerous applications. Among all the methods used to study and map geological structures, remote sensing has proved the best. Thankfully, researchers are saved from these challenges with the introduction of remote sensing techniques in the structural geology field. In structural geology, the Remote sensing technique is greatly used to acquire data. The remote sensing technique has powerful tools for detecting rocks rich in minerals, and thus it is vital in the mining process. Tags: 8 Applications of Remote Sensing in Structural Geology, 8 uses of Remote Sensing in Structural Geology
[235] Integration of remote sensing and geographic information systems for ... — Abstract. Fracture systems are of great importance in the field of structural geology. Faults commonly afford easy passage to groundwater and fluids such as hydrothermal fluids and magmas or even contribute to earthquake hazard monitoring. For a geologist, it is not always easy to discern such morphotectonic structures at close range. Both remote sensing techniques and spatial modeling permit
[246] High-resolution X-ray computed tomography in ... - ScienceDirect — High-resolution X-ray Computed Tomography (HRXCT) or micro-CT (μCT) is a frequently used non-destructive 3D imaging and analysis technique for the investigation of internal structures of a large variety of objects, including geomaterials. Although the possibilities of X-ray micro-CT are becoming better appreciated in earth science research, the demands on this technique are also approaching
[247] Deep learning for high-resolution seismic imaging — Deep learning for high-resolution seismic imaging | Scientific Reports Leveraging recent advancements in deep learning, this study introduces a neural network framework that integrates Transformer and Convolutional Neural Network (CNN) architectures, enhanced through Adaptive Spatial Feature Fusion (ASFF), to achieve high-resolution seismic imaging. Our approach directly maps seismic data to reflection models, eliminating the need for post-processing low-resolution results. The rise of deep learning technology has opened up new possibilities in the field of seismic exploration12,13,14,15,16,17,18,19, encompassing various aspects such as data processing, imaging, and inversion. Through end-to-end processing using deep learning model, we achieve better capture of subtle underground structural features, thereby achieving higher resolution in seismic imaging.
[248] Research on 3D geological modeling based on boosting integration ... — Traditional 3D geology modeling faces challenges in terms of both data and methodology. Traditional data used for 3D geological modeling include geological borehole data, seismic data, geomorphological data, geophysical data, and satellite remote sensing data (Burt et al., 2021, Ma et al., 2021, Pan et al., 2020).Geological drilling data offer true physical information on the subsurface layers
[249] Research Status of and Trends in 3D Geological Property Modeling ... - MDPI — Three-dimensional (3D) geological property modeling is used to quantitatively characterize various geological attributes in 3D space based on geostatistics with the help of computer visualization technology, and the results are often stored in grid data. The 3D geological property modeling includes two main components, grid model generation and property interpolation. In this review article
[250] 3D geological fine modeling and dynamic updating method of ... - Nature — Combining the requirements for refined modeling and dynamic update of fault slope geological models in open-pit coal mines, we systematically elaborated on the elements and rules of slope 3D geological modeling and proposed a fine modeling and dynamic updating method based on digital elevation model (DEM) and half-edge boundary representation (B-Rep) data structures. A 3D data structure for geologic modeling of complex slopes containing faults in open-pit coal mines is proposed, which utilizes the DEM to construct 3D structural interfaces for slope engineering, employing the half-edge B-Rep structure to organize the spatial topological relationships of the DEM. (4)With the transparency of strata geological information during the open-pit mining process, a method and process for dynamically updating the base state model of slope geology using surface geological correction data are proposed, allowing for the updating and reconstruction of the 3D geological model.
[263] Numerical study on the influence of fault orientation on risk level of ... — In purpose of studying the impact of fault orientation on the risk level of rockburst during mining process, the effect degree of different fault orientations on rockburst risk was obtained as the classification basis of influencing factors.
[264] Comprehensive 3-D Modeling of Mining-Induced Fault Slip: Impact of ... — Mining-induced fault slip simulation in 3-D highlighted the effects of panel layout, fault, and stress roles in mining safety. Fault slip width has a positive correlation with panel length and far-field stress orientation. Far-field principal stress orientation is important for the panel that affects the induced fault slip and seismic risks. An optimum panel layout strategy was proposed by
[265] Faults (tectonic), Coal Mining Geology, Kentucky Geological Survey ... — Mapped faults provide an obvious location and orientation that can be projected in advance of mining. Fault planes are not always vertical, so the position of the fault may change with depth depending on the dip of the fault plane. Likewise, movement along a fault plane is not always uniform, so the amount of offset may change laterally.
[266] Evolution law and risk analysis of fault-slip burst in coal mine based ... — This underscores the significance of incorporating fault coseismic slip considerations into mining safety protocols, as it has the potential to trigger coal or rockbursts.