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Issue No.06 - Nov.-Dec. (2014 vol.16)
pp: 60-67
Danping Cao , China University of Petroleum, Huadong
Wenyuan Liao , University of Calgary
Waveform tomography, or full waveform inversion (FWI), is in general better than ray tomography; however, a reliable initial model is usually required to ensure success. Here, the authors designed a cascade-like hybrid tomography technology to solve the crosswell seismic inversion problem. The new method is a combination of several widely used tomography technologies, implemented in a sequence, where the cheaper method is used as the initial model feeder for the more expensive method. They start with the Radon-transform-based back-projection method; then the Linear Iterative Reconstruction method, such as selective internal radiation therapy, is adopted to update this initial model; which is further improved by the nonlinear, Gradient-based Eikonal Equation Tomography method. Finally, the velocity model reconstructed from the previous multiple ray tomography methods is used as the initial model for the FWI.
Tomography, Mathematical model, Computational modeling, Numerical models, Seismic measurements, Iterative methods, Subspace constraints,scientific computing, numerical algorithm, inverse problem, back projection, LIR, GEET, FWI, ray tomography, waveform tomography, algorithm design
Danping Cao, Wenyuan Liao, "An Adjoint-Based Hybrid Computational Method for Crosswell Seismic Inversion", Computing in Science & Engineering, vol.16, no. 6, pp. 60-67, Nov.-Dec. 2014, doi:10.1109/MCSE.2014.1
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