公开(公告)号：WO2023081495A1

公开(公告)日：2023-05-11

申请号：PCT/US2022/049212

申请日：2022-11-08

申请人： CONOCOPHILLIPS COMPANY

发明人： WAGNER, Alexander J. ,  OLSEN, Christopher S. ,  NAZARI, Tahmineh ,  POTTER, Megan ,  SIMOES CORREA, Thiago B. ,  SHEEHAN, Daniel P. ,  SMITH, Brackin A. ,  MOORE, Douglas S. ,  JOHN, Randy E. ,  WALLACE, Zachary A.

IPC分类号： G01V1/40 ,  G06F30/27 ,  E21B49/08

摘要： Systems and methods include a geological structure modeling tool for generating a geological facies model for a target well with decision tree-based models. The decision tree-based models use geographic facie class as a target variable and receives an input data set including well log data, core data, and geological facie class labels (e.g., generated by a subject matter expert (SME)). A predictive analytics model using the decision tree-based models generates, based on an input of target well data, the geological facies model to represent underlying geological structures at a candidate location (e.g., for drilling a well) or a section of a subsurface reservoir (e.g., for resource characterization). Vertical context data can be provided to the decision tree-based models and the input data set can be artificially boosted based on geological facies class label occurrences. A well development action is selected for the candidate location based on the geological facies model.