VALIDATION OF THE EFFECTIVENESS OF FACIES PREDICTION METHODS USED FOR GEOLOGICAL MODELS

    公开(公告)号:US20240084688A1

    公开(公告)日:2024-03-14

    申请号:US17932253

    申请日:2022-09-14

    CPC classification number: E21B44/00 E21B47/022 G01V11/00 G06F30/27 E21B2200/20

    Abstract: Methods and systems for updating a geological model of a subsurface region are disclosed. The method includes obtaining a first non-nuclear magnetic resonance (NMR) well log and a core sample from a first wellbore, and determining a hydrocarbon pore volume (HcPV) prediction method. The method also includes obtaining, from a second wellbore, a second non-NMR well log and an NMR log, determining a measured HcPV based on the NMR well log, and predicting the predicted HcPV using the second non-NMR well log and the HcPV prediction method. The method further includes determining a calibrated HcPV prediction method based on the predicted HcPV, wherein the calibrated HcPV prediction method comprises a calibrated facies prediction method, obtaining a third non-NMR well log from a third wellbore, predicting a calibrated facies using the third non-NMR well log and the calibrated facies prediction method, and updating the geological model based on the calibrated facies.

Patent Agency Ranking