Fast numerical methods for marine controlled-source electromagnetic (EM) survey data based on multigrid quasi-linear approximation and iterative EM migration

Ueda, Takumi; Zhdanov, Michael S.

doi:10.1071/eg08002

Cited by 13 publications

(2 citation statements)

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“…The iterative migration is terminated when the residual field becomes smaller than the required accuracy level of the data fitting. The mathematical details of the iterative migration algorithm are outlined in Ueda and Zhdanov (2008). It was demonstrated in that paper that the iterative migration, as well as the iterative inversion, could be implemented using a smooth or focusing regularization.…”

Section: Iterative Ibc Migrationmentioning

confidence: 99%

Electromagnetic migration of marine CSEM data in areas with rough bathymetry

Zhdanov

2009

SEG Technical Program Expanded Abstracts 2009

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In this paper we present a new approach to the interpretation of the marine controlled-source electromagnetic (MCSEM) data in areas with rough bathymetry. This approach is based on a new formulation of the integral equation EM modeling method in models with inhomogeneous background conductivity. The developed technique allows us to incorporate known geological structures and bathymetry effects in the method of iterative EM migration/holographic imaging and inversion. This approach provides us with the ability to precompute only once the effect of a known geoelectrical structure (e.g., the bathymetry effect) and keep it unchanged during the entire modeling and migration process. The method is illustrated by numerical examples of modeling and inversion of marine CSEM data in areas with rough bathymetry.

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Section: Iterative Ibc Migrationmentioning

confidence: 99%

Electromagnetic migration of marine CSEM data in areas with rough bathymetry

Zhdanov

2009

SEG Technical Program Expanded Abstracts 2009

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“…Other electromagnetic scattering approximations have been published in recent years. Among them are the high‐order generalized extended Born approximation (Gao and Torres‐Verdin 2006), the quasi‐analytical approximation (Zhdanov, Dmitriev, Fang and Hursan 2000), the quasi‐linear approximation (Zhdanov and Fang 1996) and the multigrid quasi‐linear approximation (Ueda and Zhdanov 2006; Ueda, Takumi and Zhdanov 2008; Endo, Cuma and Zhdanov 2008). In many cases the computational time can still be an issue, especially when these forward scattering solvers are used as an engine for inverse problems, so still more efficient approximate solutions are under research.…”

Section: Introductionmentioning

confidence: 99%

Fast and accurate three‐dimensional controlled source electromagnetic modelling^†

Tehrani

Slob

2010

Geophysical Prospecting

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A B S T R A C TWe present a fast approximate method for three-dimensional low frequency controlled source electro-magnetic modeling. We apply the method to a synthetic model in a typical marine controlled source electromagnetic scenario, where conductivity and permittivity are different from the known background medium. For 3D configurations, fast computational methods are relevant for both forward and inverse modelling studies. Since this problem involves a large number of unknowns, it has to be solved efficiently to obtain results in a timely manner, without compromising accuracy. For this reason, the Born approximation, extended Born approximation and iterative extended Born approximation are implemented and compared with the full solution of the conjugate gradient fast Fourier transformation method. These methods are based on an electric field domain integral equation formulation. It is shown here how well the iterative extended Born approximation method performs in terms of both accuracy and speed with different configurations and different source positions. The improved accuracy comes at virtually no additional computational cost. With the help of this method, it is now possible to perform sensitivity analysis using 3D modelling in a timely manner, which is vital for controlled source electromagnetic applications. For forward modeling the solution at the sea-bottom is of interest, because that is where the receivers are usually located. For inverse modeling, the accuracy of the solution in the target zone is important to obtain reasonably accurate conductivity values from the inversion using this approximate solution method. Our modelling studies show that the iterative extended Born approximation method is fast and accurate for both forward and inverse modelling. Sensitivity analysis as a function of the source position and different reservoir sizes validate the accuracy of the iterative extended Born approximation.

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Marine Electromagnetic Studies of Seafloor Resources and Tectonics

Key

2011

Surv Geophys

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The past decade has been a period of rapid growth for marine electromagnetic (EM) methods, predominantly due to the industrial adoption and promotion of EM as a valuable tool for characterizing offshore hydrocarbon reservoirs. This growth is illustrated by a database of marine EM publications spanning from the early developments in the 1960's to the present day; while over 300 peer-reviewed papers on marine EM have been published to date, more than half of these papers have been published within the last decade. This review provides an overview of these recent developments, covering industrial and academic use of marine EM for resource exploration and tectonic investigations, ranging from acquisition technology and modeling approaches to new physical and geological insights learned from recent data sets.

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Fast numerical methods for marine controlled-source electromagnetic (EM) survey data based on multigrid quasi-linear approximation and iterative EM migration

Cited by 13 publications

References 14 publications

Electromagnetic migration of marine CSEM data in areas with rough bathymetry

Electromagnetic migration of marine CSEM data in areas with rough bathymetry

Fast and accurate three‐dimensional controlled source electromagnetic modelling^†

Marine Electromagnetic Studies of Seafloor Resources and Tectonics

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Fast numerical methods for marine controlled-source electromagnetic (EM) survey data based on multigrid quasi-linear approximation and iterative EM migration

Cited by 13 publications

References 14 publications

Electromagnetic migration of marine CSEM data in areas with rough bathymetry

Electromagnetic migration of marine CSEM data in areas with rough bathymetry

Fast and accurate three‐dimensional controlled source electromagnetic modelling†

Marine Electromagnetic Studies of Seafloor Resources and Tectonics

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Product

Resources

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Fast and accurate three‐dimensional controlled source electromagnetic modelling^†