Anisotropic Velocity Model Building Using Rock Physics Assisted Extrapolation - Application to the Gulf of Mexico

2013 ◽  
Author(s):  
H.K. Helgesen ◽  
J. Liu ◽  
A. DeNosaquo ◽  
O. Kvamme Leirfall
Keyword(s):  
Gulf Of Mexico ◽  
Model Building ◽  
Rock Physics ◽  
Velocity Model ◽  
Velocity Model Building

Anisotropic velocity model building using rock physics: Comparison of compaction trends and check‐shot‐derived anisotropy in the Gulf of Mexico

2011 ◽  
Author(s):  
Ran Bachrach ◽  
Yangjun (Kevin) Liu ◽  
Marta Woodward ◽  
Olga Zradrova ◽  
Yi Yang ◽  
...  
Keyword(s):  
Gulf Of Mexico ◽  
Model Building ◽  
Rock Physics ◽  
Velocity Model ◽  
Velocity Model Building

Velocity model building using basin modeling and rock physics, with examples from Campeche deep-water Gulf of Mexico

2019 ◽  
Author(s):  
Jianchun Dai ◽  
Dawn Jantz ◽  
Zengbao Chen ◽  
Claire Jacob ◽  
Daniel Smith ◽  
...  
Keyword(s):  
Gulf Of Mexico ◽  
Deep Water ◽  
Model Building ◽  
Rock Physics ◽  
Velocity Model ◽  
Basin Modeling ◽  
Velocity Model Building

Detailed velocity model building in a carbonate karst zone and improving sub‐karst images in the Gulf of Mexico

2011 ◽  
Author(s):  
Jun Cai ◽  
Hao Xun ◽  
Li Li ◽  
Yang He ◽  
Zhiming Li ◽  
...  
Keyword(s):  
Gulf Of Mexico ◽  
Model Building ◽  
Velocity Model ◽  
Velocity Model Building

WAZ OBC data velocity model building using FWI: New technologies to resolve imaging challenges, Gulf of Mexico shelf, Bay Marchand Field

2016 ◽  
Author(s):  
Nathaniel Cockrell ◽  
Khaled Abdelaziz ◽  
Kun Jiao ◽  
Adrian Montgomery ◽  
David Dangle ◽  
...  
Keyword(s):  
Gulf Of Mexico ◽  
Model Building ◽  
New Technologies ◽  
Velocity Model ◽  
Velocity Model Building

The Wolfspar experience with low-frequency seismic source field data: Motivation, processing, and implications

2022 ◽  
Vol 41 (1) ◽  
pp. 9-18
Author(s):  
Andrew Brenders ◽  
Joe Dellinger ◽  
Imtiaz Ahmed ◽  
Esteban Díaz ◽  
Mariana Gherasim ◽  
...  
Keyword(s):  
Gulf Of Mexico ◽  
Seismic Data ◽  
Field Data ◽  
Model Building ◽  
Low Frequency ◽  
Seismic Source ◽  
Velocity Model ◽  
Seismic Sources ◽  
Velocity Model Building ◽  
Air Gun

The promise of fully automatic full-waveform inversion (FWI) — a (seismic) data-driven velocity model building process — has proven elusive in complex geologic settings, with impactful examples using field data unavailable until recently. In 2015, success with FWI at the Atlantis Field in the U.S. Gulf of Mexico demonstrated that semiautomatic velocity model building is possible, but it also raised the question of what more might be possible if seismic data tailor-made for FWI were available (e.g., with increased source-receiver offsets and bespoke low-frequency seismic sources). Motivated by the initial value case for FWI in settings such as the Gulf of Mexico, beginning in 2007 and continuing into 2021 BP designed, built, and field tested Wolfspar, an ultralow-frequency seismic source designed to produce seismic data tailor-made for FWI. A 3D field trial of Wolfspar was conducted over the Mad Dog Field in the Gulf of Mexico in 2017–2018. Low-frequency source (LFS) data were shot on a sparse grid (280 m inline, 2 to 4 km crossline) and recorded into ocean-bottom nodes simultaneously with air gun sources shooting on a conventional dense grid (50 m inline, 50 m crossline). Using the LFS data with FWI to improve the velocity model for imaging produced only incremental uplift in the subsalt image of the reservoir, albeit with image improvements at depths greater than 25,000 ft (approximately 7620 m). To better understand this, reprocessing and further analyses were conducted. We found that (1) the LFS achieved its design signal-to-noise ratio (S/N) goals over its frequency range; (2) the wave-extrapolation and imaging operators built into FWI and migration are very effective at suppressing low-frequency noise, so that densely sampled air gun data with a low S/N can still produce useable model updates with low frequencies; and (3) data density becomes less important at wider offsets. These results may have significant implications for future acquisition designs with low-frequency seismic sources going forward.

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