Shale oil content evaluation and sweet spot prediction based on convolutional neural network

Unconventional shale-gas systems: The Mississippian Barnett Shale of north-central Texas as one model for thermogenic shale-gas assessment

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Engineering, Earth Sciences, Geology +12

Region-Based Convolutional Networks for Accurate Object Detection and Segmentation

Ross Girshick, Jeff Donahue, Trevor Darrell et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2015 · 2.9K citations

Computing, Computer Science, Computer Vision +16

Morphology, Genesis, and Distribution of Nanometer-Scale Pores in Siliceous Mudstones of the Mississippian Barnett Shale

Robert G. Loucks, Robert M. Reed, Stephen C. Ruppel et al. · Journal of Sedimentary Research · 2009 · 2.7K citations

Natural Sciences, Earth Sciences, Geology +17

Efficient object localization using Convolutional Networks

Jonathan Tompson, Ross Goroshin, Arjun Jain et al. · 2015 · 1.4K citations

Computing, Computer Science, Computer Vision +13

Development of organic porosity in the Woodford Shale with increasing thermal maturity

Mark E. Curtis, Brian J. Cardott, Carl Sondergeld et al. · International Journal of Coal Geology · 2012 · 1.1K citations

Engineering, Earth Sciences, Geological Engineering +16