Chinese Academy of Geological Sciences

Chongyuan Zhang

Hao Zhang

Quan Li

Ming Jin

Dongsheng Sun

Qunce Chen

Hui Shi

Xingqiang Feng

Xianghui Qin

Wen Meng

The present disclosure relates to a seismic imaging free gas structure identification method and system. The method includes: acquiring a seismic imaging dataset, and annotating free gas structures in the seismic imaging sample data set to obtain a training dataset; using a generative adversarial network (GAN) to expand the training dataset for network training, wherein the GAN includes a generative network and a discrimination network; conducting domain conversion on original label data of the free gas training samples to obtain annotating labels; training a Bayesian neural network according to the free gas training datasets and labels, to obtain a free gas structure identification model; acquiring actual seismic imaging data of a target work area; and conducting, according to the actual seismic imaging data, identification by using the free gas structure identification model.

Seismic imaging free gas structure identification method and system

The present disclosure relates to the technical field of rock mechanics, and in particular to a method for accurately measuring a reopening pressure of hydraulic fracturing induced fracture in a deep borehole. The method includes: pumping a fluid into a sealed inner space of a drilling pipe for energy storage; and opening a valve at a lower end of the drilling pipe such that energy is released from the fluid in the inner space of the drilling pipe under the action of pressure to inject the fluid into a test interval. In the method according to the present disclosure, a fluid is pumped into an inner space of a drilling pipe so that the inner space of the drilling pipe is used as a high-pressure fluid pump to inject the fluid in the inner space of the drilling pipe to the test interval until the closed fracture is reopened.

Method for accurately measuring reopening pressure of hydraulic fracturing induced fracture in deep borehole

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Beijing, China

Chongyuan Zhang