(57) ABSTRACT A deep learning framework includes a first model for predicting one or more
attributes of a system; a second model for predicting one or more attributes of the system; at …

A method is described for estimating hydrocarbon reservoir attributes including obtaining a
geophysical dataset and a geological dataset; obtaining a parameter model, the parameter …

US11668848B2 - Method and system for seismic imaging using S-wave velocity models
and machine learning - Google Patents US11668848B2 - Method and system for seismic …

A system is described for estimating well production and injection rates of a subterranean
reservoir using machine learning models. The system may include a processor and a non …

A data analysis system utilizing custom unsupervised machine learning processes over a
communications network is disclosed, the system including a repository of data, a web …

A method for a physics-driven deep learning-based inversion coupled to fluid flow
simulators may include obtaining measured data for a subsurface region, obtaining prior …

E21B44/00—Automatic control systems specially adapted for drilling operations, ie self-
operating systems which function to carry out or modify a drilling operation without …

Disclosed are a hybrid density abrupt interface inversion method based on machine
learning constraints. The inversion method includes constructing an initial basin interface …

A multi-scale unsupervised seismic velocity inversion method based on an autoencoder for
observation data. Large-scale information is extracted by the autoencoder, which is used for …