公开(公告)号：US11428835B2

公开(公告)日：2022-08-30

申请号：US16827532

申请日：2020-03-23

Applicant: LANDMARK GRAPHICS CORPORATION

Inventor： Zhili Wei ,  Meng Meng ,  Fan Jiang ,  Youli Mao ,  Phil Norlund

IPC: G01V1/28 ,  G01V1/36 ,  G01V1/30 ,  G01V1/34 ,  G06N20/00 ,  G06N5/04

Abstract: Hydrocarbon exploration and extraction can be facilitated using machine-learning models. For example, a system described herein can receive seismic data indicating locations of geological bodies in a target area of a subterranean formation. The system can provide the seismic data as input to a trained machine-learning model for determining whether the target area of the subterranean formation includes one or more types of geological bodies. The system can receive an output from the trained machine-learning model indicating whether or not the target area of the subterranean formation includes the one or more types of geological bodies. The system can then execute one or more processing operations for facilitating hydrocarbon exploration or extraction based on the seismic data and the output from the trained machine-learning model.