SYSTEM AND METHOD FOR AUTOMATED POST-GEOSTEERING

    公开(公告)号:US20200165911A1

    公开(公告)日:2020-05-28

    申请号:US16673691

    申请日:2019-11-04

    Inventor: Julian A. Thorne

    Abstract: A method is described for automated post-geosteering including receiving a pilot well log and a lateral well log with an initial lateral well path; performing automated post-geosteering to generate a corrected well path image; and displaying the corrected well path image on a graphical display. The method may be executed by a computer system.

    SYSTEM AND METHOD FOR DATA ANALYTICS LEVERAGING HIGHLY-CORRELATED FEATURES

    公开(公告)号:US20220245445A1

    公开(公告)日:2022-08-04

    申请号:US17164099

    申请日:2021-02-01

    Inventor: Julian A. Thorne

    Abstract: A method is described for data analytics using highly-correlated features which includes receiving a training dataset representative of a subsurface volume of interest; identifying at least two highly-correlated features in the training dataset; calculating a trend of the at least two highly-correlated features; calculating a residual of at least one of the highly-correlated features and the trend; and using data analytic methods on features in the training dataset that include one or more of these trend and residual combinations to predict a response variable. The method may be executed by a computer system.

    SYSTEMS AND METHODS FOR GENERATING FACIES REALIZATIONS

    公开(公告)号:US20210063592A1

    公开(公告)日:2021-03-04

    申请号:US16551219

    申请日:2019-08-26

    Inventor: Julian A. Thorne

    Abstract: Systems and methods are disclosed for generating a set of facies realizations. A computer-implemented method may use a computer system that includes a physical computer processor and data storage. The computer-implemented method may include: obtaining a geobody index, obtaining facies probability vectors for the multiple geobodies, assigning facies to the multiple geobodies based on the facies probability vectors, obtaining a target facies proportion for the subsurface volume of interest, reassigning a first geobody having a first facies based on a first facies probability vector of the first geobody, and reassigning remaining ones of the multiple geobodies with different facies.

    System and method for building reservoir property models

    公开(公告)号:US10908308B1

    公开(公告)日:2021-02-02

    申请号:US16522445

    申请日:2019-07-25

    Inventor: Julian A. Thorne

    Abstract: A method is described for generating a reservoir property model based on the quality of a seismic inversion product. The method may include receiving a seismic inversion product volume, a seismic attribute volume, and well data from wells drilled in a subsurface volume of interest; identifying collocated cells in the seismic volumes which correspond to the well data; creating attribute vectors from the seismic volumes in each of the collocated cells and a range of neighboring cells; calculating a seismic inversion error magnitude property at the collocated cells; training a data analytics method to predict the observed seismic inversion error magnitude property; verifying that the data analytics method accurately predicts the seismic inversion error magnitude using cross-validation; generating an inversion quality volume; and generating the reservoir property model based on the inversion quality volume. The method may be executed by a computer system.

    SYSTEM AND METHOD FOR DATA ANALYTICS FEATURE SELECTION

    公开(公告)号:US20220245535A1

    公开(公告)日:2022-08-04

    申请号:US17164115

    申请日:2021-02-01

    Inventor: Julian A. Thorne

    Abstract: A method is described for data analytics including receiving a dataset representative of a subsurface volume of interest; identifying at least two features in the dataset; performing optimization methods to fit the at least two features to a response variable; calculating partial dependency functions of the at least two features; calculating a simplicity of each of the partial dependency functions; calculating an importance of each of the at least two features; selecting at least one highly ranked feature based on a combination of the simplicity and the importance; and performing optimization methods to fit the at least one highly ranked feature to a response variable. The method may be executed by a computer system.

    SYSTEM AND METHOD FOR DATA ANALYTICS WITH MULTI-STAGE FEATURE SELECTION

    公开(公告)号:US20220245534A1

    公开(公告)日:2022-08-04

    申请号:US17164062

    申请日:2021-02-01

    Inventor: Julian A. Thorne

    Abstract: A method is described for data analytics including receiving a set of M variables representative of a subsurface volume of interest, derived from one or more of co-located well-log data, seismic data, and production data; performing a global optimum branch-and-bound algorithm to find a collection of N variables from the set of M variables that achieve the best fit in multiple regression; adding random variables to the collection of N variables; a slightly non-linear optimization until a statistically significant percentage of the random variables are eliminated; and performing, a highly non-linear optimization to select a final set of features. The method may be executed by a computer system.

    SYSTEM AND METHOD FOR DATA ANALYTICS USING SMOOTH SURROGATE MODELS

    公开(公告)号:US20220245478A1

    公开(公告)日:2022-08-04

    申请号:US17164081

    申请日:2021-02-01

    Inventor: Julian A. Thorne

    Abstract: A method is described for data analytics including receiving a training dataset representative of a subsurface volume of interest with co-located measured explanatory features and a response feature; generating an ensemble of models using an ensemble of decision tree regressions; generating a surrogate model by fitting response surfaces of the ensemble of models with a power law combination of each of the explanatory features, and products and ratios of each pair of the explanatory features; receiving a second dataset of explanatory features from locations away from the co-located measured explanatory features, wherein the second dataset of explanatory features are a same type as the co-located measured explanatory features; and generating, using the surrogate model a smooth prediction of the response feature based on the second dataset of explanatory features. The method may be executed by a computer system.

    Systems and methods for generating facies realizations

    公开(公告)号:US11269099B2

    公开(公告)日:2022-03-08

    申请号:US16551219

    申请日:2019-08-26

    Inventor: Julian A. Thorne

    Abstract: Systems and methods are disclosed for generating a set of facies realizations. A computer-implemented method may use a computer system that includes a physical computer processor and data storage. The computer-implemented method may include: obtaining a geobody index, obtaining facies probability vectors for the multiple geobodies, assigning facies to the multiple geobodies based on the facies probability vectors, obtaining a target facies proportion for the subsurface volume of interest, reassigning a first geobody having a first facies based on a first facies probability vector of the first geobody, and reassigning remaining ones of the multiple geobodies with different facies.

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