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US11403495B2

Using synthetic data sets to train a neural network for three-dimensional …

University of Texas System

Abstract

A machine learning system efficiently detects faults from three-dimensional (“3D”) seismic images, in which the fault detection is considered as a binary segmentation problem. Because the distribution of fault and nonfault samples is heavily biased, embodiments of the present disclosure use a …

University
University of Texas System
Assignee
Board Of Regents, The University Of Texas System
Inventor
Xinming Wu
Priority date
November 26, 2019
Filing date
November 25, 2020
Grant date
August 02, 2022
Publication date
August 02, 2022
Language
en
Metadata fetched
August 29, 2026 00:29