2D full waveform transmission deconvolution for true amplitude imaging below gas‐clouds

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

doi:10.1190/1.3255356

Cited by 6 publications

(2 citation statements)

References 11 publications

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“…To validate the estimated model, we apply the full wavefield redatuming as suggested by Ghazali et al, (2009b). For this process, the estimated model is used to forward model full waveform transmission operators through the gas cloud.…”

Section: Results Of 2d Non-linear Genetic Algorithm Inversionmentioning

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: Results Of 2d Non-linear Genetic Algorithm Inversionmentioning

confidence: 99%

“…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: 95%

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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Geophysical issues and challenges in Malay and adjacent basins from an E & P perspective

Ghosh¹,

Halim²,

Brewer³

et al. 2010

The Leading Edge

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Nonstationary differential resolution: An algorithm to improve seismic resolution

Sajid

Ghazali

2018

GEOPHYSICS

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High-resolution seismic data enables better well ties, structure delineation, stratigraphic mapping, and reservoir characterization. Differential resolution (DR) is a data-driven method to improve seismic resolution, but it can introduce a false spatial amplitude variation in the seismic output due to whole trace normalization. The newly proposed normalization technique decomposes the input seismic trace using a translating Gaussian window and then implements the DR algorithm on each window. The introduced weight factors give the interpreter control of the degree of spectral broadening. These developments enable the algorithm to account for the nonstationary properties of the seismic trace, reduce spurious spatial amplitude variation, and provide broader bandwidth seismic data for detailed analysis. We described the mathematical derivation of the nonstationary differential resolution (NSDR) algorithm and its implementation on synthetic and real seismic data. A comparison of NSDR with the original and DR shows better relative amplitude preservation.

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2D full waveform transmission deconvolution for true amplitude imaging below gas‐clouds

Cited by 6 publications

References 11 publications

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

Geophysical issues and challenges in Malay and adjacent basins from an E & P perspective

Nonstationary differential resolution: An algorithm to improve seismic resolution

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