Detection method for coal petrography intensity based on multi-wave seismic data

Abstract

The invention relates to a detection method for the coal petrography intensity based on multi-wave seismic data, which comprises the following steps that: A, vertical and transverse wave speed models and density models are obtained through multi-wave seismic data and logging data, and initial speed models are built through logging speed models; B, synthetic seismic records are generated, and the total residual error of overlapped data and the synthetic seismic records is obtained through calculation; C, the total residual error of a wave impedance model and a logging external push wave impedance model is obtained through calculation; D, the objective function value is calculated, the vertical and transverse wave speed of each layer is modified when the value is judged not to meet the precision requirement, a new vertical and transverse wave speed model is built, the operation returns to the step A, and the continuous iteration is carried out until the objective function value convergence; and E, after the objective function value convergence, the vertical and transverse wave speed data reaching the logging resolution and the density data obtained through calculation are obtained, slices along a coal bed are extracted, and the firmness factor of the objective coal bed on the whole plane can be obtained through calculation. The problem of judgment of coal and gas projection possibility in the coal bed is solved.

Description

technical field [0001] The invention relates to the detection field of coal mines, in particular to a method for detecting coal rock strength based on multi-wave seismic data. Background technique [0002] Coal and gas outburst is an extremely complex mine gas dynamic phenomenon encountered in coal mine production, and its mechanism has not been fully understood so far. A large number of mine measured data and laboratory research results show that the outburst of coal and gas is the result of a combination of factors such as in-situ stress, coal rock strength, crack development, and coal structure; among them, the strength value of coal rock is related to a certain deformation mode ( Uniaxial compression, stretching, shearing), which reflects the anti-destructive ability of coal and rock, is one of the important parameters for predicting coal and gas outburst. [0003] At present, there are several ways to determine the strength of coal and rock: Aiming at the coalfield log...

AI Technical Summary

Problems solved by technology

[0006] The technical problem to be solved by the present invention is to provide a coal-rock strength detection method based on multi-wave seismic data, to solve the problem of judging the possibility of coal and gas outburst in the target coal seam, and to ensure the safe production of coal mines

Images