公开(公告)号：US11746651B2

公开(公告)日：2023-09-05

申请号：US17082793

申请日：2020-10-28

Applicant: ConocoPhillips Company

Inventor： Hui Zhou ,  Benjamin Lascaud

IPC: E21B49/08 ,  E21B47/003 ,  G01V3/34 ,  G06N20/00 ,  E21B7/04 ,  E21B43/00 ,  G06Q10/04 ,  G06Q10/0639 ,  G06Q50/02 ,  G06F17/18

CPC classification number: E21B49/087 ,  E21B7/04 ,  E21B43/00 ,  E21B47/003 ,  G01V3/34 ,  G06N20/00 ,  G06Q10/04 ,  G06Q10/0639 ,  G06Q50/02 ,  E21B2200/22 ,  G06F17/18

Abstract: Implementations described and claimed herein provide systems and methods for developing resources from an unconventional reservoir. In one implementation, raw reservoir data for the unconventional reservoir is obtained. The raw reservoir data includes geology data, completion data, development data, and production data. The raw reservoir data is transformed to transformed data. The raw reservoir data is transformed to the transformed data based on a transformation from a set of one or more raw variable to a set of one or more transformed variables. The set of one or more transformed variables is statistically uncorrelated. Resource development data is extracted from the transformed data. Performance analytics are generated for the unconventional reservoir using the resource development data. The performance analytics are generated through ensemble machine learning. The unconventional reservoir is developed based on the performance analytics.

公开(公告)号：US20210123343A1

公开(公告)日：2021-04-29

申请号：US17082793

申请日：2020-10-28

Applicant: ConocoPhillips Company

Inventor： Hui Zhou ,  Benjamin Lascaud

IPC: E21B49/08 ,  E21B47/003 ,  E21B7/04 ,  G01V3/34 ,  G06N20/00

Abstract: Implementations described and claimed herein provide systems and methods for developing resources from an unconventional reservoir. In one implementation, raw reservoir data for the unconventional reservoir is obtained. The raw reservoir data includes geology data, completion data, development data, and production data. The raw reservoir data is transformed to transformed data. The raw reservoir data is transformed to the transformed data based on a transformation from a set of one or more raw variable to a set of one or more transformed variables. The set of one or more transformed variables is statistically uncorrelated. Resource development data is extracted from the transformed data. Performance analytics are generated for the unconventional reservoir using the resource development data. The performance analytics are generated through ensemble machine learning. The unconventional reservoir is developed based on the performance analytics.

公开(公告)号：US11875283B2

公开(公告)日：2024-01-16

申请号：US15725821

申请日：2017-10-05

Applicant: CONOCOPHILLIPS COMPANY

Inventor： Hui Zhou ,  Curt Schneider ,  Iman Shahim

IPC: G06Q10/04 ,  G06Q10/0631 ,  E21B43/00 ,  G06Q10/047 ,  G06Q10/06 ,  G06F30/20

CPC classification number: G06Q10/04 ,  E21B43/00 ,  G06F30/20 ,  G06Q10/047 ,  G06Q10/06 ,  G06Q10/06313

Abstract: A method for creating a field development plan, comprising initializing, by a specially programmed computing system, a connectivity model, calibrating, by a specially programmed computing system, the connectivity model based on a plurality of reservoir simulation results, determining, by a specially programmed computing system, a travel time between wells and reservoir cells using a fast marching method, determining, by the specially programmed computing system, a hydrocarbon saturation based on the travel time to construct a model prediction, optimizing, by the specially programmed computing system, the connectivity model using a global optimization and a local optimization, and constructing, by the specially programmed computing system, at least one well file using the optimized connectivity model.