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Neural Network Knowledge-Based Modeling of Rock Properties Based on Well Log Databases
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1998
Year
Rock TestingEngineeringMachine LearningComputer AnalysisLog DatabasesGeological ModelingGeotechnical EngineeringWell Log DatabasesData ScienceData MiningWell LoggingMineral Prospectivity AnalysisManagementIntelligent Data AnalysisData IntegrationFuzzy Pattern RecognitionData ModelingFuzzy LogicKnowledge DiscoveryEngineering GeologyAbstract Analyzing DataRock PropertiesIntelligent Data ProcessingCivil EngineeringGeomechanicsBig Data
Abstract Analyzing data from well logs is often a complex and laborious process because a physical relationship cannot be established to show how the data are correlated. In this paper, we will develop the next generation of "intelligent" software that will extract rock properties and relevant reservoir information from well log databases. Our objective is to develop the next generation of "intelligent" software tools that will extract information from well log databases. The software will use fuzzy logic techniques because the data and our requirements are imperfect. In addition, it will use neural network techniques, since the functional structure of the data is unknown. In particular, the software will be used to group data into important data sets; extract and classify dominant and interesting patterns that exist between these data sets; discover secondary, tertiary and higher-order data patterns; and discover expected and unexpected structural relationships between data sets.