
Joint Tomography with Seismic First-break And Reflection under Rugged Topographical Conditions
Author(s) -
Tianzhi Guo,
Chun Guang Xu,
Limin Song
Publication year - 2019
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/300/2/022134
Subject(s) - tomography , seismic tomography , reflection (computer programming) , geology , joint (building) , geophysical imaging , stability (learning theory) , seismology , computer science , structural engineering , engineering , optics , physics , programming language , machine learning
Seismic travel-time tomography is one of method which can inverse some information of underground medium such as structure, velocity distribution and so on. In order to solve the problem about seismic tomography under rugged topographical conditions. The author develops a new way for seismic tomography by combine LTI method based on hybrid meshes which has high fitting degree for the variable structure underground with LSQR algorithm. Thus, the joint tomography with seismic first-break and reflection under rugged topographical conditions has been achieved. The stability and effectiveness is verified by theoretical model test.