Invention Application
- Patent Title: GENERATIVE MACHINE LEARNING MODEL ASSISTED STATISTICAL INVERSION FOR BOREHOLE SENSING
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Application No.: US18535058Application Date: 2023-12-11
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Publication No.: US20240404650A1Publication Date: 2024-12-05
- Inventor: Xusong WANG , Christopher Michael JONES , Xiang WU , Jichun SUN
- Applicant: Halliburton Energy Services, Inc.
- Applicant Address: US TX Houston
- Assignee: Halliburton Energy Services, Inc.
- Current Assignee: Halliburton Energy Services, Inc.
- Current Assignee Address: US TX Houston
- Main IPC: G16C20/70
- IPC: G16C20/70 ; G01V20/00

Abstract:
Aspects of the subject technology relate to systems, methods, and computer readable media for applying generative machine learning for performing statistical inversion in borehole sensing. A method can comprise implementing an inversion workflow for borehole sensing. The method can also comprise applying a generative machine learning network technique to sample candidate material variables as part of the inversion workflow.
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