The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
May. 16, 2023

Filed:

Apr. 06, 2022
Applicant:

Southwest Petroleum University, Chengdu, CN;

Inventors:

Yan Chen, Chengdu, CN;

Yuchuan An, Chengdu, CN;

Xiangchao Shi, Chengdu, CN;

Yu Yi, Chengdu, CN;

Yang Wang, Chengdu, CN;

Zhicheng Li, Chengdu, CN;

Gaocheng Feng, Chengdu, CN;

Yangbing Li, Chengdu, CN;

Ping Li, Chengdu, CN;

Yuan Zhong, Chengdu, CN;

Ming Xian, Chengdu, CN;

Hu Deng, Chengdu, CN;

Yuming Wang, Chengdu, CN;

Yuehao Liu, Chengdu, CN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
E21B 45/00 (2006.01); G06F 30/27 (2020.01);
U.S. Cl.
CPC ...
E21B 45/00 (2013.01); G06F 30/27 (2020.01);
Abstract

A method for predicting and optimizing an ROP for oil and gas drilling based on Bayesian optimization includes: acquiring raw drilling data according to a preset sampling period, constructing an initial sample data set based on the raw drilling data, constructing an ROP prediction model based on the initial sample data set, and predicting an ROP at a next sample point through a Gaussian process regression based on the ROP prediction model. The present invention realizes rapid analysis of historical drilling data and accurate prediction of an ROP range at a sample point in a feasible domain. The method can obtain an optimized ROP and an optimized engineering parameter through Bayesian optimization, and obtain an engineering parameter corresponding to an optimal ROP. The method has few restrictions on the drilling engineering parameter and the raw formation parameter, improves prediction accuracy, and avoids the problem of blurred parameter value boundaries.


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