Institute of Geology and Geophysics, Cas

Wenjie Hao

Wei Lu

Yu Zou

Guoliang Li

Shengwen Qi

Bowen Zheng

Songfeng Guo

Wang Zhang

Guangming Luo

Yongchao Li

Tianming Huang

Xiaokun Hou

Zan Wang

Lina Ma

Yanlong Kong

Bo Wan

Weiwei Zhu

Jianing Cong

Ning Liang

Chao Jin

Xin Yu

Yuran Zhang

A method and system for monitoring structural deterioration of a reservoir rock mass under a long-time high-temperature condition, and a product are provided. The method includes: arranging ultrasonic transducers and fiber optic extrinsic Fabry-Perot interferometric (EFPI) sensors in a loading briquette; loading ultrasonic waves on a rock mass sample with the ultrasonic transducers; monitoring ultrasonic and acoustic emission signals at the rock mass sample with the fiber optic EFPI sensors; inverting a velocity model indicating a change of a wave velocity inside the rock mass sample over time by fast marching acoustic emission tomography using standard optimization (FaATSO) according to the ultrasonic and acoustic emission signals; and conducting joint inversion by a fast-marching method according to the velocity model, the acoustic emission signals, and observation data to determine a position of rock mass fracturing in the rock mass sample.

Method and system for monitoring structural deterioration of reservoir rock mass under long-time high-temperature condition, and product

A real-time quantitative characterization method, equipment and a medium for rock mass evolution are disclosed. The method includes: the multiphase field detection and monitoring data is fused; a deep learning model driven by physical principles is established based on the physical principles of fluid density; the deep learning model is trained using real-time fused data as input and corresponding evolution distribution images as output; a trained deep learning model is used to obtain an evolution distribution image based on multi-phase field detection and monitoring data of different time periods and types; a mathematical model is used to quantitatively characterize of physical and mechanical parameters in the whole process of progressive failure of the dynamic evolution of the rock mass based on the macroscopic mechanical parameters and evolution distribution images synchronized with multiphase field detection and monitoring data.

Real-time quantitative characterization method, equipment and medium for rock mass evolution

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Beijing, China

Wenjie Hao