公开(公告)号：US20230375735A1

公开(公告)日：2023-11-23

申请号：US18027266

申请日：2021-09-13

Applicant: EXXONMOBIL TECHNOLOGY AND ENGINEERING COMPANY

Inventor： Kuang-Hung Liu ,  Huseyin Denli ,  Mary Johns ,  Jacquelyn Daves

IPC: G01V1/30 ,  G01V1/28

CPC classification number: G01V1/301 ,  G01V1/282

Abstract: A computer-implemented method for detecting geological elements or fluid in a subsurface from seismic images is disclosed. Seismic data may be analyzed to identify one or both of fluid or geologic elements in the subsurface. As one example, the analysis may include unsupervised learning, such as variational machine learning, in order to learn relationships between different sets of seismic data. For example, variational machine learning may be used to learn relationships among partially-stack images or among pre-stack images in order to detect hydrocarbon presence. In this way, an unsupervised learning framework may be used for learning a Direct Hydrocarbon Indicator (DHI) from seismic images by learning relationships among partially-stack or pre-stack images.