A unified 2D/3D software environment for large-scale time-harmonic full-waveform inversion

Silva, Curt Da; Herrmann, Felix J.

doi:10.1190/segam2016-13869051.1

Cited by 4 publications

(1 citation statement)

References 5 publications

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“…We use a frequency-domain finite-difference code [42] to generate the data for frequencies between 2.5 and 3.5 Hz with a spacing of 6.25 × 10 −2 Hz. The data are weighted in frequency by a Ricker wavelet with a peak frequency of 15 Hz.…”

Section: Resultsmentioning

confidence: 99%

Salt Reconstruction in Full-Waveform Inversion With a Parametric Level-Set Method

Kadu

Leeuwen

Mulder

2017

IEEE Trans. Comput. Imaging

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Abstract-Seismic full-waveform inversion tries to estimate subsurface medium parameters from seismic data. Areas with subsurface salt bodies are of particular interest because they often have hydrocarbon reservoirs on their sides or underneath. Accurate reconstruction of their geometry is a challenge for current techniques. This paper presents a parametric level-set method for the reconstruction of salt-bodies in seismic fullwaveform inversion. We split the subsurface model in two parts: a background velocity model and the salt body with known velocity but undetermined shape. The salt geometry is represented by a level-set function that evolves during the inversion. We choose radial basis functions to represent the level-set function, leading to an optimization problem with a modest number of parameters. A common problem with level-set methods is to fine tune the width of the level-set boundary for optimal sensitivity. We propose a robust algorithm that dynamically adapts the width of the levelset boundary to ensure faster convergence. Tests on a suite of idealized salt geometries show that the proposed method is stable against a modest amount of noise. We also extend the method to joint inversion of both the background velocity model and the salt-geometry.

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Section: Resultsmentioning

confidence: 99%

Salt Reconstruction in Full-Waveform Inversion With a Parametric Level-Set Method

Kadu

Leeuwen

Mulder

2017

IEEE Trans. Comput. Imaging

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Applications of low-rank compressed seismic data to full-waveform inversion and extended image volumes

et al. 2019

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Conventional oil and gas fields are increasingly difficult to explore and image, resulting in the call for more complex wave-equation-based inversion algorithms that require dense long-offset samplings. Consequently, there is an exponential growth in the size of data volumes and prohibitive demands on computational resources. We propose a method to compress and process seismic data directly in a low-rank tensor format, which drastically reduces the amount of storage required to represent the data. Seismic data exhibits low-rank structure in a particular transform domain, which can be exploited to compress the dense data in one extremely storage-efficient tensor format when the data is fully sampled, or interpolated when the data has missing entries. In either case, once our data is represented in its compressed tensor form, we propose an algorithm to extract source or receiver gathers directly from the compressed parameters. This extraction process can be done on-the-fly directly on the compressed data and does not require scanning through the entire dataset in order to form shot gathers. We apply this shot-extraction technique in the context of stochastic full-waveform inversion as well as forming full subsurface image gathers through probing techniques and demonstrate the minor differences between using the full and compressed data, while drastically reducing the total memory costs.

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Massive 3D seismic data compression and inversion with hierarchical Tucker

Zhang

Silva

Kumar

et al. 2017

SEG Technical Program Expanded Abstracts 2017

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A unified 2D/3D software environment for large-scale time-harmonic full-waveform inversion

Cited by 4 publications

References 5 publications

Salt Reconstruction in Full-Waveform Inversion With a Parametric Level-Set Method

Salt Reconstruction in Full-Waveform Inversion With a Parametric Level-Set Method

Applications of low-rank compressed seismic data to full-waveform inversion and extended image volumes

Massive 3D seismic data compression and inversion with hierarchical Tucker

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