The Garden Banks Model Experience

Dellinger, Joe; Sandschaper, J. R.; Regone, Carl; Etgen, John; Ahmed, Imtiaz

doi:10.1190/segam2015-5830959.1

Cited by 3 publications

(2 citation statements)

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“…This is because the salt body has a very high velocity relative to its surrounding media and often we lack of prior knowledge of its existence or structure to include it in the initial model. Conventional industry practice with salt regions is to apply the migrate-pick-flood flow, which is time consuming and prone to error as it requires human interpretation and decision making (Dellinger et al, 2017). For more automatic inversion with less human intervention: Ovcharenko et al (2018) used a variance-based interpolation to process the conventional FWI updates; Sun and Alkhalifah (2019b) proposed to use more robust objective functions such as the optimal-transport when inverting for the salt.…”

Section: Introductionmentioning

confidence: 99%

Salt Body Flooding Using Activation Functions From Machine Learning

Alali

Sun

Kazei

et al. 2020

EAGE 2020 Annual Conference &Amp; Exhibition Online

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In salt affected regions, conventional full-waveform inversion (FWI) is doomed to fail if there is no prior information of the salt body. Recent studies suggested to regularize the inversion by implementing an automatic flooding using total variation (TV) and Hinge loss functions. We generlize this approach and introduce a family of functions known as "activation functions" in the machine learning discipline that can be used to implement automatic flooding in similar way. In particular, we investigate the automatic flooding using a sigmoid, tanh and exponential linear unit (Elu) functions and apply them for salt body reconstruction on the BP model and report their performance.

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Section: Introductionmentioning

confidence: 99%

Salt Body Flooding Using Activation Functions From Machine Learning

Alali

Sun

Kazei

et al. 2020

EAGE 2020 Annual Conference &Amp; Exhibition Online

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“…Using the FWI to obtain a high‐quality inversion result of the salt structure is a challenging problem due to the large‐scale salt dome and the strong contrast between the salt velocity and surrounding sediments (Williamson et al, ). In the industry, the conventional practice “migrate‐pick‐flood” that uses an iterative migration and interpretation workflow is used to define the salt geometry (Dellinger et al, ). However, this technique often requires extensive human intervention.…”

Section: Introductionmentioning

confidence: 99%

Multiscale Direct Envelope Inversion: Algorithm and Methodology for Application to the Salt Structure Inversion

Chen

2019

Earth and Space Science

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For the full‐waveform inversion, obtaining a globally optimal solution is difficult when the seismic data do not contain sufficient low‐frequency information and the inversion object is a salt structure with a large‐scale salt dome. The large salt dome presents difficulty for the inversion of the salt structure; however, it also confers a convenience that can be utilized: A large salt dome makes the events in the seismic record sparse and isolated. We use the envelope to obtain the arrival time of the events in the seismic data and apply multiscale strategies to extract the low‐frequency information of the seismic data that relates to the long‐wavelength components of the subsurface. In calculating the gradient, the envelope Fréchet derivative is used to take advantage of the multiscale envelope for the characteristics of the salt structure. Therefore, the multiscale direct envelope inversion using the window‐averaged envelope and the direct envelope Fréchet derivative is proposed. To further improve the computational efficiency and inversion quality of the multiscale direct envelope inversion, several auxiliary strategies are proposed: A joint misfit function is designed to make the inversion method more adaptable, and an offset weighting factor is introduced to implement the multioffset inversion method to improve the inversion quality of subsalt. We analyze the antinoise performance of the multiscale direct envelope inversion. The SEG/EAGE salt model is used to test the application effect of the multiscale direct envelope inversion. The antinoise ability and insensitivity to low‐frequency data of the method are verified in the numerical experiments.

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SEG Technical Program Expanded Abstracts 2016

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The Garden Banks Model Experience

Cited by 3 publications

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Salt Body Flooding Using Activation Functions From Machine Learning

Salt Body Flooding Using Activation Functions From Machine Learning

Multiscale Direct Envelope Inversion: Algorithm and Methodology for Application to the Salt Structure Inversion

Special Session Complete Session

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