Concepedia

A data-driven CO2 leakage detection using seismic data and spatial–temporal densely connected convolutional neural networks

Zheng Zhou, Youzuo Lin, Zhongping Zhang, Yue Wu, Zan Wang, Robert Dilmore, George D. Guthrie

International journal of greenhouse gas control · 2019 · 49 citations · 49 references

Open access

Concepts

ComputingComputer ScienceEarth SciencesFeature EngineeringGeospatial Artificial IntelligenceMachine LearningDeep LearningGeospatial Machine LearningLeak DetectionNeural NetworksSeismic Data AcquisitionSeismic Data ProcessingConvolutional Neural NetworksData-driven Leakage MonitoringDeep Learning DetectionDeep Learning-based Anomaly DetectionLeak MappingMachine Learning For Seismic InterpretationSeismic Data Interpretation

References

49

Deep Residual Learning for Image Recognition

Kaiming He, Xiangyu Zhang, Shaoqing Ren et al. · 2016 · 222.1K citations · Full text

Computing, Computer Science, Computer Vision +11

Long Short-Term Memory

Sepp Hochreiter, Jürgen Schmidhuber · Neural Computation · 1997 · 98.1K citations

Computing, Computer Science, Algorithms +16

ImageNet classification with deep convolutional neural networks

Alex Krizhevsky, Ilya Sutskever, Geoffrey E. Hinton · Communications of the ACM · 2017 · 75.7K citations · Full text

Computing, Computer Science, Computer Vision +12

Very Deep Convolutional Networks for Large-Scale Image Recognition

Karen Simonyan, Andrew Zisserman · arXiv (Cornell University) · 2014 · 75.5K citations · Full text

Computing, Computer Science, Computer Vision +11

Densely Connected Convolutional Networks

Gao Huang, Zhuang Liu, Laurens van der Maaten et al. · 2017 · 44.7K citations

Computing, Computer Science, Computer Vision +10