Method for predicting and optimizing rate of penetration (ROP) for oil and gas drilling based on bayesian optimization
US11649714B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 6, 2022 |
| Grant date | May 16, 2023 |
| Priority date | — |
| Expiry date | Apr 6, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F30/20
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.