- 专利标题: NUCLEAR MAGNETIC RESONANCE (NMR) FLUID SUBSTITUTION USING MACHINE LEARNING
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申请号: US17514654申请日: 2021-10-29
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公开(公告)号: US20230133700A1公开(公告)日: 2023-05-04
- 发明人: Songhua Chen , Wei Shao
- 申请人: Halliburton Energy Services, Inc.
- 申请人地址: US TX Houston
- 专利权人: Halliburton Energy Services, Inc.
- 当前专利权人: Halliburton Energy Services, Inc.
- 当前专利权人地址: US TX Houston
- 主分类号: G01V3/32
- IPC分类号: G01V3/32 ; G01N24/08 ; G01R33/50 ; G01V3/38
摘要:
System and methods for nuclear magnetic resonance (NMR) fluid substitution are provided. NMR logging measurements of a reservoir rock formation are acquired. Fluid zones within the reservoir rock formation are identified based on the acquired measurements. The fluid zones include water zones comprising water-saturated rock and at least one oil zone comprising rock saturated with multiphase fluids. Water zones having petrophysical characteristics matching those of the oil zone(s) within the formation are selected. NMR responses to multiphase fluids resulting from a displacement of water by hydrocarbon in the selected water zones are simulated. A synthetic dataset including NMR T2 distributions of multiphase fluids is generated based on the simulation. The synthetic dataset is used to train a machine learning (ML) model to substitute NMR T2 distributions of multiphase fluids with those of water. The trained ML model is applied to the NMR logging measurements acquired for the oil zone(s).
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