کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4739828 1641122 2016 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Laplace-domain waveform modeling and inversion for the 3D acoustic–elastic coupled media
موضوعات مرتبط
مهندسی و علوم پایه علوم زمین و سیارات فیزیک زمین (ژئو فیزیک)
پیش نمایش صفحه اول مقاله
Laplace-domain waveform modeling and inversion for the 3D acoustic–elastic coupled media
چکیده انگلیسی


• Modeling and inversion algorithm are developed for 3D acoustic–elastic coupled media.
• Parallel direct matrix solver (MUMPS) is used for 3D modeling and inversion.
• 3D Real WAZ dataset is used for the verification of the proposed algorithm.

Laplace-domain waveform inversion reconstructs long-wavelength subsurface models by using the zero-frequency component of damped seismic signals. Despite the computational advantages of Laplace-domain waveform inversion over conventional frequency-domain waveform inversion, an acoustic assumption and an iterative matrix solver have been used to invert 3D marine datasets to mitigate the intensive computing cost. In this study, we develop a Laplace-domain waveform modeling and inversion algorithm for 3D acoustic–elastic coupled media by using a parallel sparse direct solver library (MUltifrontal Massively Parallel Solver, MUMPS). We precisely simulate a real marine environment by coupling the 3D acoustic and elastic wave equations with the proper boundary condition at the fluid-solid interface. In addition, we can extract the elastic properties of the Earth below the sea bottom from the recorded acoustic pressure datasets. As a matrix solver, the parallel sparse direct solver is used to factorize the non-symmetric impedance matrix in a distributed memory architecture and rapidly solve the wave field for a number of shots by using the lower and upper matrix factors. Using both synthetic datasets and real datasets obtained by a 3D wide azimuth survey, the long-wavelength component of the P-wave and S-wave velocity models is reconstructed and the proposed modeling and inversion algorithm are verified. A cluster of 80 CPU cores is used for this study.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Applied Geophysics - Volume 129, June 2016, Pages 41–52
نویسندگان
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