DocumentCode
168824
Title
Coal mine geological hazardous body detection using surface ground penetrating radar velocity tomography
Author
Cui Du ; Feng Yang ; Xinjun Xu ; Xianlei Xu ; Meng Peng
Author_Institution
Sch. of Mech. Electron. & Inf. Eng., China Univ. of Min. & Technol., Beijing, Beijing, China
fYear
2014
fDate
June 30 2014-July 4 2014
Firstpage
339
Lastpage
344
Abstract
Ground penetrating radar (GPR) velocity tomography has shown much promise in detection of geological hazardous body because of its ability of providing highly detailed images of wave velocity. In this paper, velocity tomography using surface GPR is presented tor detection harmful geology structure in underground coal mine. Compared with borehole radar, it avoids drilling and can be used to implement nondestructive detection with no influence on coal mining. Damping least square orthogonal triangle (LSQR) is employed to solve the large sparse velocity tomography equations. It is compared to the classical algebraic reconstruction technique (ART) and simultaneous iterative reconstruction technique (SIRT) using three synthetic geological models with representative disaster areas, namely, fault, cavity and water zone, considering both high and low velocity anomaly body. In each case, damping LSQR provides comparable or better results than ART and SIRT. The shape of the anomaly body has great influence on inversion accuracy. The simulation results verify the proposed approach can identify the location, scope and characters of disaster areas and faults parallel to transmission direction are better inverted.
Keywords
coal; computerised tomography; geology; ground penetrating radar; iterative methods; least squares approximations; mining; ART; GPR; LSQR; SIRT; algebraic reconstruction technique; borehole radar; coal mining; geological hazardous body detection; geology structure; inversion accuracy; least square orthogonal triangle; nondestructive detection; representative disaster areas; simultaneous iterative reconstruction technique; sparse velocity tomography; surface ground penetrating radar; three synthetic geological models; tor detection; transmission direction; wave velocity; Coal; Engines; Geology; Radar detection; Subspace constraints; Velocity measurement; GPR; damping LSQR; inversion algorithm; velocity tomography;
fLanguage
English
Publisher
ieee
Conference_Titel
Ground Penetrating Radar (GPR), 2014 15th International Conference on
Conference_Location
Brussels
Type
conf
DOI
10.1109/ICGPR.2014.6970441
Filename
6970441
Link To Document