Solving Trinidad’s imaging challenges through orthorhombic and least-squares Q migration of high-density full-azimuth OBN data
- Kareem Vincent (BP) | Pedro Paramo (BP) | Bertram Nolte (BP) | Sean Cardinez (BP) | Katrina Packer (BP) | John C. Naranjo (BP) | Jim Mika (BP) | Imtiaz Ahmed (BP) | Hu Jin (BP)
- Document ID
- Society of Exploration Geophysicists
- 2018 SEG International Exposition and Annual Meeting, 14-19 October, Anaheim, California, USA
- Publication Date
- Document Type
- Conference Paper
- 2018. Society of Exploration Geophysicists
- Azimuth, Ocean-bottom node, Least-squares migration, Anisotropy, Q
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- 22 since 2007
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In 2016-2017, BP Trinidad and Tobago (BPTT) realized a significant uplift in seismic imaging through acquiring a high density full azimuth ocean bottom node (OBN) survey in the Columbus Basin in Trinidad. While full azimuth and long offset data offered imaging benefits in terms of better illumination and undershooting complex overburden, they at the same time posed a challenge due to strong azimuthal anisotropy in this area. This imaging challenge was further compounded by significant structural complexity and strong absorption due to the presence of shallow gas. In this paper we present how we addressed these imaging challenges by employing advanced processing technologies which include orthorhombic velocity model building to address the azimuthal anisotropy, and least squares Q (LSQ) migration to compensate for the attenuation. The final orthorhombic image shows a step change in data quality with improved depth structural accuracy validated by well control and increased resolution and signal-to-noise from the LSQ migration.
Presentation Date: Thursday, October 18, 2018
Start Time: 8:30:00 AM
Location: 204C (Anaheim Convention Center)
Presentation Type: Oral
|File Size||840 KB||Number of Pages||5|
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