Anomalous Areas Detection in Rocks Using Time-Difference Adjoint Tomography
Hits:
Release time:2022-04-01
Impact Factor:2.592
DOI number:10.3390/math10071069
Journal:MATHEMATICS
Key Words:detection of anomalous areastime-difference tomographyadjoint state methodeikonal equationsubsurface engineering
Abstract:Detecting anomalous areas (such as caves, faults, and weathered layers) in rocks is essential for the safety of facilities and personnel in subsurface engineering. Seismic tomography has been proved to be an effective exploration technology in engineering geophysics. However, the complexity, anisotropy, and uncertainty in rock environments pose challenges to the resolution and robustness of tomography methods. Traditional tomography methods have difficulty balancing reliability and efficiency. Therefore, we developed a time-difference adjoint tomography method combining the arrival-time difference and the adjoint state method. The effectiveness was verified by numerical experiments and a laboratory-scale acoustic experiment. The effectiveness of the proposed method was demonstrated by the experimental results. The adjoint scheme avoids additional ray tracing and improves the efficiency of the inversion, which allows the use of finer forward grids in practice. By considering the differential arrivals of receiver pairs, the proposed method is robust in the face of systematic errors and relatively stable against large random noises. Moreover, the velocity contrast obtained by the proposed method is sharper than for first-arrival tomography in the areas where the rays are not dense, resulting in a clearer indication of the anomalous areas in the tomographic image.
First Author:Feiyue Wang, Xin Xie, Zhongwei Pei, Longjun Dong*
Indexed by:Journal paper
Volume:10
Issue:7
Page Number:1069
ISSN No.:2227-7390
Translation or Not:no
Date of Publication:2022-04-01
Included Journals:SCI
Links to published journals:https://www.mdpi.com/2227-7390/10/7/1069/htm
-
Attachments:
-
2022.04Anomalous Areas Detection in Rocks Using Time-Difference Adjoint Tomography.pdf
|
Zip Code:29de886ef04ea8e6bb6524718289602cee55da1b72cbca5e543eee953dbdfd725cbb3452e6f559f002895ea05f9ec189ad2662337a9dfe3cfab88628ac1e33b58ab92d5f303dab48349656eb993b72f19c2fe1eecbc0ead6f34e8dbcbc4187938ecf445556e4ffe069bf05d397e219f701c24878133a1d9f1f3600005969cd3d
Postal Address:1bca84da6a0b5d8b73fefbb3d061bde993ae0c7569299d7771c87135c1efa1da7a68b8d4c3d58fbdc2a39cf6c577a0ddf4dc0507e2706879dfb50ddcfd71ca2ff4531c2545625693b41f9afb9c22d7b134f6cbd0e1a8b41c96b1c9fc7c83deda571d414da33503b7f847b24d19e324057c378004eff2b8b850b4ea775239551e
Office Phone:04d329b602c3b3bd379410e0c3ab0fd568d70a3e7f494d0c5391a0ee92d835f427c549506553fa836e3c1d1d061c6e151ade2b07d470847bafb648728501840158053932771cf52d80256209a070bfcc68d75b91621be3f0c8cc29a829ebdb2a6cbb58af9bb9e645a843884a77449b22757c218727daf8391ec3dcc125c44fe6
Email:a605aede6386ee075e5d57e51d5352f54f247b976cf1ed5cd9c3ad428ac4a585137dc9db3f3384e4477b578c1e57206cf72a0f5a3741373f03796d044aed73b1e668903d3788d2c65c26d95dde9e9d59e39fe9bbfa0846ad1f2010be03a2a9344b03462e5a9293fa87d82669158c4d722d145acbae68cb119fbbd7dfe5863260
|