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An adjoint-based hybrid computational method for crosswell seismic inversion
PrePrint
ISSN: 1521-9615
Danping Cao, China University of Petroleum, Qingdao
Wenyuan Liao, University of Calgary, Calgary
The waveform tomography, or full waveform inversion (FWI), is in general better than the ray tomography, however a reliable initial model is usually required to ensure the success. In this work we 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. We start from the Radon-transform based back projection (BP) method, then the Linear Iterative Reconstruction (LIR) method such as SIRT is adopted to update this initial model, which is further improved by the nonlinear Gradient-based Eikonal Equation Tomography (GEET) method. The velocity model reconstructed from the previous multiple ray tomography methods is used as the initial model for the waveform tomography. The numerical example shows that this hybrid method has great potential in reconstructing accurate acoustic velocity or other high-resolution reservoir characterization between two wells.
Citation:
Danping Cao, Wenyuan Liao, "An adjoint-based hybrid computational method for crosswell seismic inversion," Computing in Science and Engineering, 04 Feb. 2014. IEEE computer Society Digital Library. IEEE Computer Society, <http://doi.ieeecomputersociety.org/10.1109/MCSE.2014.1>
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