公开(公告)号：WO2022216311A1

公开(公告)日：2022-10-13

申请号：PCT/US2021/051596

申请日：2021-09-22

Applicant: SAS INSTITUTE INC.

Inventor： PEREDRIY, Sergiy ,  HOLDAWAY, Keith Richard

IPC: G06F16/587 ,  G06F16/909 ,  G01V1/40 ,  G06F16/387

Abstract: Tops of geological layers can be automatically identified using machine-learning techniques as described herein. In one example, a system can receive well log records associated with wellbores drilled through geological layers. The system can generate well clusters by applying a clustering process to the well log records. The system can then obtain a respective set of training data associated with a well cluster, train a machine-learning model based on the respective set of training data, select a target well-log record associated with a target wellbore of the well cluster, and provide the target well-log record as input to the trained machine-learning model. Based on an output from the trained machine-learning model, the system can determine the geological tops of the geological layers in a region surrounding the target wellbore. The system may then transmit an electronic signal indicating the geological tops of the geological layers associated with the target wellbore.

公开(公告)号：EP4176356A1

公开(公告)日：2023-05-10

申请号：EP21936226.6

申请日：2021-09-22

Applicant: SAS Institute Inc.

Inventor： PEREDRIY, Sergiy ,  HOLDAWAY, Keith Richard

IPC: G06F16/587 ,  G06F16/909 ,  G01V1/40 ,  G06F16/387