4D quantitative and intelligent diagnosis method and system for spatio-temporal evolution of oil-gas reservoir damage types and extent

US11686190B2 · kind B2 · utility

Assignees

• China University of Petroleum—Beijing · CN
• CNPC CHUANQING DRILLING ENGINEERING COMPANY LIMITED · CN
• CNPC Engineering Technology R&D Company Limited · CN

Inventors

• Guancheng Jiang · Beijing, CN
• Yinbo He · Beijing, CN
• Tengfei Dong · Beijing, CN
• Chunyao Peng · Beijing, CN
• Lili Yang · Pasadena, US
• Xiaohu Luo · Wuxi, CN
• Xuwu Luo · Karamay, CN
• Xing Liang · Shanghai, CN
• Bin Tan · Sichuan, CN
• Yong Wang · Beijing, CN
• Daqi Fu · Beijing, CN
• Tie Geng · Beijing, CN
• Qihua Ran · Chengdu, CN
• Xiaobo Liu · Beijing, CN
• Rongchao Cheng · Beijing, CN
• Zenglin Wang · Beijing, CN
• Gang Chen · Sammamish, US
• Honghao Zhu · Nanjing, CN
• Yizheng Li · Beijing, CN
• Li Zhao · Beijing, CN
• Kaixiao Cui · Beijing, CN

Key dates

• Filing date: Jul 13, 2022
• Grant date: Jun 27, 2023
• Expiry date: Jul 13, 2042

Classification

• Technology area (CPC G): Physics
• CPC primary: G06F2113/08
• WIPO field: Measurement
• WIPO sector: Instruments

Abstract

A 4D quantitative and intelligent diagnosis method for spatio-temporal evolution of oil-gas reservoir damage types and extent includes: determining a characteristic parameter characterizing reservoir damage by each of a plurality of factors based on a spatio-temporal evolution simulation equation of reservoir damage by each of the plurality of factors; and determining an effective characteristic parameter characterizing the damage extent of the reservoir based on the characteristic parameter characterizing reservoir damage by each of the plurality of factors. The method quantitatively simulate the characteristic parameters of reservoir damage caused by the various factors and a total characteristic parameter of the reservoir damage.