Non-linear Inversion for True Amplitude Imaging below Gas Clouds – A 1.5D Feasibility Study

Ghazali, A.R.; Verschuur, D.J.; Gisolf, A.

doi:10.3997/2214-4609.201400377

Cited by 2 publications

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“…The feasibility of 1.5D non-linear full waveform inversion using a genetic algorithm and 2D transmission deconvolution have been successfully demonstrated (Ghazali et al, 2009a;Ghazali et al, 2009b). However, the extension of the full waveform inversion to the 2D case is not trivial.…”

Section: Introductionmentioning

confidence: 97%

“…The overburden with the gas cloud is called area A and area B denotes the area underneath area A. The aim of the method described by Ghazali et al, (2009a) is to have a true amplitude image of the reflectors in area B. Therefore, the reflection response of the gas cloud area (zone A) together with its background velocity model is used as input for a non-linear inversion process in order to estimate equivalent medium parameters.…”

Section: Introductionmentioning

confidence: 99%

“…Ghazali et al, (2009a) proposed a full waveform redatuming strategy where the most crucial part is the estimation of the transmission operators W A from the gas reflection response X A , using their forward model:…”

Section: Introductionmentioning

confidence: 99%

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Multi‐dimensional non‐linear full waveform inversion of gas cloud reflection data using a genetic algorithm and a blended acquisition approach

Ghazali

Verschuur

Gisolf

2010

SEG Technical Program Expanded Abstracts 2010

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In this paper, we present a multi-dimensional non-linear full waveform inversion approach using an optimized Genetic Algorithm (GA), which includes a blended acquisition approach to invert the highly non-linear gas cloud reflection response for its effective medium parameters. This non-linear inversion process is vital to construct full waveform transmission operators (including the codas) from the gas cloud reflection response via an effective medium representation. However, extending this approach to a 2D non-linear full waveform inversion is not simple or straightforward, as multi-parameter inversion may become inefficient. Furthermore, to simulate the actual seismic wavefield in the subsurface we use the finite difference method as the forward modeling process and thus it becomes an expensive inversion procedure for the GA. We demonstrate that multi-dimensional non-linear full waveform inversion -to obtain effective gas cloud medium parameters from the gas reflection response -is viable using a GA. Several modifications to the conventional GA are suggested to overcome its limitations and therefore to gain faster convergence of the inversion process. IntroductionThe presence of so-called gas cloud in the overburden often puts a severe limitation to the image below this anomaly. Ghazali et al., (2009a) proposed a full waveform redatuming strategy where the most crucial part is the estimation of the transmission operators W A from the gas reflection response X A , using their forward model:

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Section: Introductionmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%

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Multi‐dimensional non‐linear full waveform inversion of gas cloud reflection data using a genetic algorithm and a blended acquisition approach

Ghazali

Verschuur

Gisolf

2010

SEG Technical Program Expanded Abstracts 2010

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Application of Full Wavefield Migration in Obtaining True Amplitude Below Gas Cloud

Zahir

Sahad

Ishak

et al. 2019

Day 1 Tue, March 26, 2019

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This paper presents an alternative solution for gas cloud imaging using full wavefield migration (FWM). The application of FWM method have been applied on both synthetic dataset with gas cloud event and existing field with gas cloud issue. The full wavefield migration is an inversion-based imaging algorithm that utilizes the complete reflection measurements: primaries as well as all multiples, both surface and internal to obtain the total reflections measurement. It combines the primary and higher order scattering reflection from the gas cloud to estimate the true amplitude response below the gas cloud. Successful applications to both synthetic and field data examples demonstrate that FWM improves the imaging illumination and resolution below gas cloud as compared to conventional migration.

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Non-linear Inversion for True Amplitude Imaging below Gas Clouds – A 1.5D Feasibility Study

Cited by 2 publications

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Multi‐dimensional non‐linear full waveform inversion of gas cloud reflection data using a genetic algorithm and a blended acquisition approach

Multi‐dimensional non‐linear full waveform inversion of gas cloud reflection data using a genetic algorithm and a blended acquisition approach

Application of Full Wavefield Migration in Obtaining True Amplitude Below Gas Cloud

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