Patent ID: 11971515
Assignee: LANDMARK GRAPHICS CORPORATION
Field: Measurement (Instruments)
Classification: CPC G  E | IPC E  G

Claim 7:
8. A method comprising:
receiving seismic data correlating to a subterranean formation;
deriving a set of seismic attributes from the seismic data, the set of seismic attributes including discontinuity-along-dip;
determining parameterized results by analyzing the seismic data and the set of seismic attributes using a deep learning neural network, wherein the deep learning neural network includes a dilation module between a first set of convolution layers and a second set of convolution layers, the dilation module comprising a set of dilated convolution layers, each dilated convolution layer of the set of dilated convolution layers including a different dilation factor that defines a different sized gap between adjacent pixels of a set of pixels of an input convolution matrix for an associated dilated convolution operation;
determining one or more fault probabilities of the subterranean formation using the parameterized results; and
facilitating a hydrocarbon exploration operation using the one or more fault probabilities.