
Inversion of Fracture Parameters in Anisotropic Coal Seam
Author(s) -
Li Qin,
Wei Wang,
Suibo Ma,
BaoHeng Zhao
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/660/1/012102
Subject(s) - inversion (geology) , geology , anisotropy , coalbed methane , coal , coal mining , shear (geology) , inverse transform sampling , structural basin , petrology , computer science , engineering , optics , geomorphology , surface wave , telecommunications , physics , waste management
Inversion of coal seam fracture parameters is of great significance to identify and predict the distribution state of coal seam fractures, and also provides certain theoretical support for the detection and identification of coalbed methane. According to the formula of PP wave reflection coefficient, this paper uses genetic algorithm to carry out inversion of coal seam fracture parameters and Thomsen anisotropy parameters, and analyzes the accuracy and stability of inversion results. The results show that the genetic algorithm has high inversion accuracy for density, shear wave velocity and fracture density of background medium, and has certain reference significance for fracture identification.