Sparse-node long-offset velocity model building in the Gulf of Mexico

2020 ◽  
Author(s):  
Denes Vigh ◽  
Xin Cheng ◽  
Zhen Xu ◽  
Kun Jiao ◽  
Nolan Brand
Keyword(s):  
Gulf Of Mexico ◽  
Model Building ◽  
Velocity Model ◽  
Velocity Model Building ◽  
Long Offset

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

Deblending of long-offset OBN data for velocity model building by sparse inversion of hyperboloidal components

2019 ◽  
Author(s):  
Hassan Masoomzadeh ◽  
Simon Baldock ◽  
Zhaojun Liu ◽  
Henrik Roende ◽  
Chuck Mason ◽  
...  
Keyword(s):  
Model Building ◽  
Velocity Model ◽  
Velocity Model Building ◽  
Long Offset ◽  
Sparse Inversion

Interpreter's Corner

2020 ◽  
Vol 39 (11) ◽  
pp. 828-833
Author(s):  
Henrik Roende ◽  
Dan Chaikin ◽  
Yi Huang ◽  
Konstantin N. Kudin
Keyword(s):  
Model Building ◽  
New Technology ◽  
Waveform Inversion ◽  
Velocity Model ◽  
Ocean Bottom ◽  
Hydrocarbon Traps ◽  
Full Waveform ◽  
Velocity Model Building ◽  
Long Offset ◽  
Set Up

The U.S. Gulf of Mexico (GoM) geology is well known for prolific structural hydrocarbon traps created by salt tectonics. In many areas, these structures lie below salt overhangs or thick canopies, requiring advanced seismic imaging to identify prospects and plan exploration wells. Ever-evolving geophysical technologies, such as 3D seismic, wide azimuth, multiwide azimuth, coil, and ocean-bottom node (OBN) acquisition designs, have unlocked the image for some of these structures over the past three decades. Recently, automatic velocity model building methods, particularly full-waveform inversion (FWI), introduced another step change in the subsalt image quality and refocused the acquisition methods on the need to acquire long-offset data. To make such a long-offset program affordable, a new survey geometry was set up with sparse OBN nodes and simultaneous shooting. The actual survey was acquired in 2019 and fully processed within 15 months from the end of the acquisition. Offsets up to 65 km were recorded, enabling FWI velocity updates down to 15 km depth. To provide the reader with a glimpse of the geologic insight that the new technology enabled, we report a few examples of deep geology revealed by this survey in a hydrocarbon- and seismic-data-rich area of the GoM — the Greater Mars-Ursa Basin.

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.

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
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