INTEGRATED RESERVOIR CHARACTERIZATION USING NMR T1-T2 MEASUREMENTS

    公开(公告)号:US20240053503A1

    公开(公告)日:2024-02-15

    申请号:US18232461

    申请日:2023-08-10

    摘要: Implementations described and claimed herein provide systems and methods for developing resources from a reservoir. In one implementation, obtaining nuclear magnetic resonance (NMR) log data is obtained for one or more wells of the reservoir. The NMR data is captured using one or more logging tools. An interpreted NMR log is generated by quantifying one or more fluid producibility parameters. The one or more fluid producibility parameters are quantified by processing the NMR log data using automated unsupervised machine learning. A production characterization of the reservoir is generated based on the interpreted NMR log, with the reservoir being developed based on the production characterization.

    Efficient Transmitter For Nuclear Magnetic Resonance Logging While Drilling

    公开(公告)号:US20230145921A1

    公开(公告)日:2023-05-11

    申请号:US17520270

    申请日:2021-11-05

    IPC分类号: G01V3/32 E21B17/02 E21B47/12

    摘要: A nuclear magnetic resonance (NMR) downhole tool and method that may include a housing, a power source, a Radio Frequency (RF) pulse generator tank electrically connected to the power source, a power switch electrically disposed within the RF pulse generator tank and disposed in the housing, and an NMR signal acquisition tank electrically connected to the RF pulse generator tank and disposed in the housing. The method may include disposing the NMR downhole tool into a wellbore, charging a first capacitor with the power source that is electrically connected to the first capacitor, generating a RF pulse, disconnecting the first capacitor from the RF pulse generator tank, and storing energy from the inductive coil in the first capacitor. The method may further include connecting the inductive coil to an NMR signal acquisition tank using a decoupler switch and acquiring an NMR signal with the NMR signal acquisition tank.

    NUCLEAR MAGNETIC RESONANCE (NMR) FLUID SUBSTITUTION USING MACHINE LEARNING

    公开(公告)号:US20230133700A1

    公开(公告)日:2023-05-04

    申请号:US17514654

    申请日:2021-10-29

    发明人: Songhua Chen Wei Shao

    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).