High resolution velocity model building over the Hoop Fault Complex.

Hart, Matt; Adewumi, O.A.; Lang, Carl; Hilburn, Guy; Rodriguez, G.

doi:10.1190/segam2015-5907902.1

Cited by 4 publications

(1 citation statement)

References 6 publications

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“…Deeper sediments show definite structural sags and low-frequency profiles below these assumed gas pockets, suggesting the initially-smooth velocity needs very strong contrasts at the lateral extents of those anomalies, as can be observed on Figures 1, 2, and 3. Hart et al (2015) demonstrated the capability of IGT to build detailed, high-contrast velocity models for similar situations, but early stage reflection data is exceedingly poor around the anomalies. Helpfully, FWI has also shown that it can recover these kinds of model contrasts in areas with poor illumination and low velocities (Yoon et al, 2014).…”

Section: Examplesmentioning

confidence: 99%

High-resolution multistage FWI and image-guided tomography to resolve ultraslow gas anomalies

Hilburn¹,

Mao²,

Sheng³

et al. 2019

Proceedings of the 16th International Congress of the Brazilian Geophysical Society&Expogef

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Section: Examplesmentioning

confidence: 99%

High-resolution multistage FWI and image-guided tomography to resolve ultraslow gas anomalies

Hilburn¹,

Mao²,

Sheng³

et al. 2019

Proceedings of the 16th International Congress of the Brazilian Geophysical Society&Expogef

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Geological Guided Tomography Inversion Based on Fault Constraint and Its Application

Sanfu¹,

Zhang

Dan³

et al. 2021

J. Ocean Univ. China

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High-resolution model building with multistage full-waveform inversion for narrow-azimuth acquisition data

et al. 2016

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Full-waveform inversion (FWI) is an attractive tool for high-resolution velocity-model building without a high-frequency assumption compared to conventional reflection tomography. However, there are two main challenges to the application of FWI on narrow-azimuth acquisition (NAZ) data: cycle skipping and acquisition footprints. Here, a multistage FWI is proposed to build a high-resolution model for NAZ data. It is well known that FWI may suffer from a cycle-skipping problem when the starting model is not close enough to the true solution. To mitigate this problem, we introduce dynamic-warping preconditioned full-waveform inversion (DWFWI) as the first stage of the velocity inversion. DWFWI iteratively preconditions the observed early arrivals through dynamic warping to avoid cycle skipping in the model, which allows large-scale background updates. The second stage of our workflow is the conventional FWI with image-guided smoothing (IGFWI). On top of DWFWI, more reflection events are included and inverted through the conventional L2-norm FWI, which can add more detailed updates to the velocity model with much higher resolution. Due to poor crossline sampling, there are strong acquisition footprints on FWI updates in the crossline direction. Image-guided smoothing is used to reduce the acquisition footprints in the FWI gradient as well as to preserve the detailed update around the faults. It is then followed by an additional tomography to update the deep portion. This approach was applied on the Hoop Fault Complex data in the southwestern Barents Sea. The results show that a more geologically realistic and higher-resolution model of the Hoop Fault Complex was obtained, and the migration image and gathers were significantly improved.

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High resolution velocity model building over the Hoop Fault Complex.

Cited by 4 publications

References 6 publications

High-resolution multistage FWI and image-guided tomography to resolve ultraslow gas anomalies

High-resolution multistage FWI and image-guided tomography to resolve ultraslow gas anomalies

Geological Guided Tomography Inversion Based on Fault Constraint and Its Application

High-resolution model building with multistage full-waveform inversion for narrow-azimuth acquisition data

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