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Article Dans Une Revue Journal of Computational Physics Année : 2011

Interlocked Optimization and fast gradient algorithm for a seismic inverse problem

Résumé

We give a nonlinear inverse method for seismic data recorded in a well from sources at several offsets from the borehole in a 2D acoustic framework. Given the velocity field, approximate values of the impedance are recovered. This is a 2D extension of the 1D inversion of vertical seismic profiles [18]. The inverse problem generates a large scale undetermined ill-conditioned problem. Appropriate regularization terms render the problem well- determined. An interlocked optimization algorithm yields an efficient preconditioning. A gradient algorithm based on the adjoint state method and domain decomposition gives a fast parallel numerical method. For a realistic test case, convergence is attained in an acceptable time with 128 processors.

Dates et versions

hal-00935659 , version 1 (23-01-2014)

Identifiants

Citer

Ludovic Métivier. Interlocked Optimization and fast gradient algorithm for a seismic inverse problem. Journal of Computational Physics, 2011, 230 (19), pp.7502-7518. ⟨10.1016/j.jcp.2011.06.019⟩. ⟨hal-00935659⟩
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