BACKGROUND [0008] FIG. 3 is a conceptual diagram of training opera tions for a GAN
upscaling generator training system, according to some embodiments.[0009] FIG. 4 depicts …

A method and apparatus for machine learning for use with automated seismic interpretation
include: obtaining input data; extracting patches from a pre-extraction dataset based on the …

Abstract Systems, apparatuses, methods, and computer program products are disclosed for
training an image analysis engine to identify surface features of the Earth consistent with …

The present disclosure belongs to the field of capture, utilization, and storage of carbon
dioxide, particularly relates to a method and system for intelligently identifying a carbon …

A discriminator of a training model is trained to discriminate between original training
images without artificial subsurface data and modified training images with artificial …

Methods and systems for wellbore path planning are disclosed. The method includes
defining total depth coordinates of a candidate wellbore path within a hydrocarbon reservoir …

Interpreting 3D seismic data can assist with understanding certain subterranean features,
such as reservoir compartmentalization analysis and drilling hazards. Interpreting 3D …

Borehole images can be corrected using machine-learning models. For example, a system
can train a machine-learning model based on a training dataset. The training dataset can …

Fault plane geometries and fault networks may represent drilling hazards. Further, the fault
plane geometries may determine reservoir connectivity, gross volume, and performance …

Abstract Systems, devices, and methods are disclosed for identifying subsurface features as
a function of position in a subsurface volume of interest. A computer-implemented method …