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公开(公告)号:US20180340408A1
公开(公告)日:2018-11-29
申请号:US15565411
申请日:2016-12-20
Applicant: Landmark Graphics Corporation
Inventor: Robello SAMUEL , Zhengchun LIU , Jeffrey YARUS , Jin FEI
CPC classification number: E21B44/02 , E21B7/046 , E21B47/022 , 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.
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公开(公告)号:US20180320485A1
公开(公告)日:2018-11-08
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
CPC classification number: E21B41/0092 , E21B43/00 , E21B43/26 , E21B49/00 , E21B49/087 , G01V1/00 , G01V99/005 , G01V2210/646 , G01V2210/663 , G06F9/455 , G06G7/48
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.
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