Systems and methods for estimating refined reservoir productivity values as a function of position in a subsurface volume of interest

    公开(公告)号:US11371336B2

    公开(公告)日:2022-06-28

    申请号:US16576698

    申请日:2019-09-19

    Abstract: Systems and methods are disclosed for estimating reservoir productivity values that maximize reservoir productivity of a refined well design corresponding to a reservoir productivity parameter. A computer-implemented method may use a computer system that includes non-transient electronic storage, a graphical user interface, and one or more physical computer processors. The computer-implemented method may include: obtaining multiple limited production parameter values, obtaining multiple refined well designs, obtaining a productivity algorithm that predicts a reservoir productivity based on a production parameter and a well design, and generating multiple refined reservoir productivity values as a function of position in the subsurface volume of interest by applying the multiple refined well designs and the multiple limited production parameter values to the productivity algorithm.

    SYSTEMS AND METHODS FOR ESTIMATING REFINED RESERVOIR PRODUCTIVITY VALUES AS A FUNCTION OF POSITION IN A SUBSURFACE VOLUME OF INTEREST

    公开(公告)号:US20210087921A1

    公开(公告)日:2021-03-25

    申请号:US16576698

    申请日:2019-09-19

    Abstract: Systems and methods are disclosed for estimating reservoir productivity values that maximize reservoir productivity of a refined well design corresponding to a reservoir productivity parameter. A computer-implemented method may use a computer system that includes non-transient electronic storage, a graphical user interface, and one or more physical computer processors. The computer-implemented method may include: obtaining multiple limited production parameter values, obtaining multiple refined well designs, obtaining a productivity algorithm that predicts a reservoir productivity based on a production parameter and a well design, and generating multiple refined reservoir productivity values as a function of position in the subsurface volume of interest by applying the multiple refined well designs and the multiple limited production parameter values to the productivity algorithm.

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