公开(公告)号：US20230141334A1

公开(公告)日：2023-05-11

申请号：US17982839

申请日：2022-11-08

Applicant: ConocoPhillips Company

Inventor： Alexander J. Wagner ,  Christopher S. Olse S. Olsen ,  Tahmineh Nazari ,  Megan Potter ,  Thiago B. Simoes Correa ,  Daniel P. Sheehan ,  Brackin A. Smith ,  Douglas S. Moore ,  Randy E. John ,  Zachary A. Wallace

IPC: G06N5/02

CPC classification number: G06N5/022

Abstract: 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.