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    Real-time trajectory control during drilling operations
    1.
    发明授权
    Real-time trajectory control during drilling operations 有权

    公开(公告)号：US10801314B2

    公开(公告)日：2020-10-13

    申请号：US15565411

    申请日：2016-12-20

    Applicant: Landmark Graphics Corporation

    Inventor： Robello Samuel ,  Zhengchun Liu ,  Jeffrey Marc Yarus ,  Jin Fei

    IPC: E21B44/02 ,  E21B47/022 ,  E21B7/04 ,  G06F19/00

    Abstract: A method may include drilling a deviated wellbore penetrating a subterranean formation according to bottom hole assembly parameters and surface parameters; collecting real-time formation data during drilling; updating a model of the subterranean formation based on the real-time formation data and deriving formation properties therefrom; collecting survey data corresponding to a location of a drill bit in the subterranean formation; deriving a target well path for the drilling based on the model of the subterranean formation; deriving a series of trajectory well paths based on the formation properties, the survey data, the bottom hole assembly parameters, and the surface parameters and uncertainties associated therewith; deriving an actual well path based on the series of trajectory well paths; deriving a deviation between the target well path and the actual well path; and adjusting the bottom hole assembly parameters and the surface parameters to maintain the deviation below a threshold.

    Classification and regression tree analysis of formation realizations
    4.
    发明授权
    Classification and regression tree analysis of formation realizations 有权

    公开(公告)号：US10968724B2

    公开(公告)日：2021-04-06

    申请号：US15773545

    申请日：2016-02-05

    Applicant: Landmark Graphics Corporation

    Inventor： Jin Fei ,  Jeffrey Marc Yarus ,  Richard L. Chambers ,  Shaolong Wu

    IPC: E21B41/00 ,  E21B43/00 ,  G01V99/00 ,  G06F9/455 ,  G01V1/00 ,  G06N20/00 ,  G06N5/00 ,  E21B49/00 ,  E21B49/08 ,  E21B43/26

    Abstract: The selection of a candidate formation realization(s) from a plurality of formation realizations may be done with a classification and regression tree (CART) analysis taking into account petrophysical and geological properties. For example, a method may include applying a CART analysis to a plurality of formation realizations using a first formation property as a predictor in the CART analysis, wherein the plurality of formation realizations are for a second formation property and are based on at least one measured formation property, thereby yielding an association between the first and second properties for each of the plurality of formation realizations; analyzing a strength of the association for each of the plurality of formation realizations; and selecting a candidate formation realization from the plurality of formation realizations based on the strength of the association. The identified candidate formation realization(s) may then be used to develop the parameters of subsequent wellbore operations.

    Geostatistical Analysis Of Microseismic Data In Fracture Modeling
    7.
    发明申请
    Geostatistical Analysis Of Microseismic Data In Fracture Modeling 审中-公开

    公开(公告)号：US20190277124A1

    公开(公告)日：2019-09-12

    申请号：US16331643

    申请日：2016-10-04

    Applicant: Landmark Graphics Corporation

    Inventor： Jeffrey Marc Yarus ,  Ashwani Dev ,  Jin Fei ,  Trace Boone Smith

    IPC: E21B43/26 ,  G01V1/50 ,  G01V1/28 ,  E21B43/16

    Abstract: A method may comprise: modeling a complex fracture network within the subterranean formation with a mathematical model based on a natural fracture network map and measured data of the subterranean formation collected in association with a fracturing treatment of the subterranean formation to produce a complex fracture network map; importing microseismic data collected in association with the fracturing treatment of the subterranean formation into the mathematical model; identifying directions of continuity in the microseismic data via a geostatistical analysis that is part of the mathematical model; and correlating the directions of continuity in the microseismic data to the complex fracture network with the mathematical model to produce a microseismic-weighted (MSW) complex fracture network map.

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