Methods and systems for machine-learned seismic fault detection
AssigneeSaudi Arabian Oil Company
InventorsTong Zhou, Yue Ma, Yuhan Sui, Nasher M. Albinhassan
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AssigneeSaudi Arabian Oil Company
InventorsTong Zhou, Yue Ma, Yuhan Sui, Nasher M. Albinhassan
Estimating the term…
A method for detecting one or more faults in a seismic dataset. The method includes obtaining a seismic data set for a subsurface region of interest and processing the seismic data set with a fault detection system to predict a pixelwise fault probability for the subsurface region of interest. The fault detection system includes a U-net architecture convolutional neural network that includes an encoder branch with N ordered encoder blocks and a decoder branch with N ordered decoder blocks, where the N encoder blocks and N decoder blocks are paired and each pair is connected by a multiscale transformer and channel mixing block. The method further includes determining a location of a hydrocarbon reservoir in the subsurface region of interest using the pixelwise fault probability.
A method, comprising:
A non-transitory computer readable medium storing instructions executable by a computer processor, the instructions comprising functionality for:
A system, comprising:
Dependencies are inferred from the claim text.