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Method for inversion of rock fracture mechanism and instability prediction by using micro-seismic monitoring data

A technology of data inversion and microseismic monitoring, applied in seismic survey, seismic signal processing, seismology, etc., can solve the problem of non-consideration of nonlinear dipole CLVD meaning, unknown, no coal rock shock instability mode discussion and other problems to achieve the effect of reducing the workload of manual picking, preventing inaccurate picking, and improving picking efficiency

Active Publication Date: 2022-03-04
CHINA UNIV OF MINING & TECH
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Problems solved by technology

The most widely used is the seismic moment tensor theory. For example, Chinese patent application CN112964787A discloses a method for detecting cracks in brittle materials based on acoustic emission. Determine the type of source rupture; Chinese patent application CN113218766A discloses a rock crack initiation stress and damage stress identification method based on moment tensor analysis, and Chinese patent application CN113050159A discloses a coal-rock hydraulic fracturing fracture microseismic location and expansion mechanism monitoring method , both use the proportion of the pure shear part after the moment tensor decomposition to judge the rock fracture mechanism, and do not take into account the unclear meaning of the nonlinear dipole CLVD in the decomposition part, which makes the source fracture type judgment result questionable.
In addition, the local AIC method is used for the first arrival time and the amplitude picking direction, which is prone to multiple local minima, resulting in inaccurate picking results
Chinese patent application CN106154307A discloses a microseismic identification method for coal-rock impact instability mode, which uses source moment tensor analysis to obtain the occurrence of the fracture surface, but does not make any discussion on the coal-rock impact instability mode
The above-mentioned literatures all mentioned how to solve the moment tensor, but the method used is single, all adopt the simplified moment tensor inversion method and aim at the rock fracture mechanism but only stay in the theory and experiment, and do not make reasonable use of it. Guidance on rock fracture instability

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  • Method for inversion of rock fracture mechanism and instability prediction by using micro-seismic monitoring data
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  • Method for inversion of rock fracture mechanism and instability prediction by using micro-seismic monitoring data

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Embodiment Construction

[0072] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0073] Such as figure 1 Shown is a flow chart of a method for rock fracture mechanism inversion and instability prediction using microseismic monitoring data.

[0074]In this embodiment, a certain mine is taken as an example. According to the actual geological occurrence conditions and the mining situation of the working face, it is determined to install 12 microseismic sensors and label them i=1, 2, 3...12 (the number of microseismic sensors cannot less than...

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Abstract

The invention discloses a method for inverting a rock fracture mechanism and predicting instability by using micro-seismic monitoring data, and the method comprises the steps: determining the first arrival amplitude and first arrival time of a micro-seismic waveform according to the characteristics of the micro-seismic waveform; constructing a new positioning target function based on the microseismic waveform first arrival time, solving the coordinates of the fracture source, and eliminating positioning points which do not meet the requirements by considering the microseismic waveform number and the standard deviation of the first arrival time and the inverse calculation of the first arrival time difference; calculating a theoretical normal displacement value of the microseismic waveform, solving a rupture source moment tensor and regularizing the rupture source moment tensor through a difference expression of the theoretical normal displacement value and a measured displacement value, and directly judging a rock rupture mechanism through the property of a rupture surface; on the basis, rock fracture instability prediction indexes are established, the rock fracture instability risk is predicted according to the risk evaluation grade, and monitoring and early warning are provided for disasters such as working face rock burst, rockburst, coal and gas outburst water inrush, collapse and landslide.

Description

technical field [0001] The invention relates to the technical field of rock mass deformation and fracture monitoring and evaluation, in particular to a rock fracture mechanism inversion and instability prediction method using microseismic monitoring data. Background technique [0002] With the gradual depletion of near-surface coal resources, deep mining has become an inevitable trend. Under deep conditions, coal rocks are affected by high ground stress, high gas and mining at the working face, and coal rock dynamic disasters are becoming more and more serious and complex, seriously affecting the production capacity of coal mines and threatening the safe and efficient production of coal mines. Accurate monitoring and early warning is the premise and basis for effective prevention and control of coal-rock dynamic disasters. At present, microseismic monitoring technology is widely used because of its simple and convenient installation, no damage to the monitored object, large...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01V1/00G01V1/28G01V1/30
CPCG01V1/288G01V1/30G01V1/01
Inventor 李楠蔡超刘贞堂王笑然陈鹏张运鹏兰学谨单天成刘璇
Owner CHINA UNIV OF MINING & TECH
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