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Petroleum Geo-Services ASA : PGS announces new survey in Gulf of Mexico

Thursday, November 21, 2013

Petroleum Geo-Services (PGS) announces the TRITON GeoStreamer Full Azimuth survey, a new solution to complex imaging problems in the deep-water Gulf of Mexico. PGS offer this survey as the next important advance in tailored acquisition design and state-of-the-art depth imaging which are critical to successful exploration in the deep-water Gulf of Mexico.

This survey will cover approximately 350 OCS blocks (8,100 sq. km) in the Garden Banks and Keathley Canyon areas of the Gulf of Mexico. Within the limits of this survey are BP''s sub-salt Tiber discovery in Keathley Canyon 102 and several significant wildcat wells, including BP''s Gila well in Keathley Canyon 93 and Chevron''s Oceanographer well in Garden Banks 973. The new survey will image the extent of the Wilcox play to the north of Tiber and to the west of Cobalt''s North Platte discovery in Garden Banks 959.

The TRITON survey will utilize a total of five vessels in the Orion(TM) configuration to acquire high fold, long-offset, dual sensor full azimuth (FAZ) data. The Orion(TM) configuration combines two high capacity streamer vessels, each towing ten 8-kilometer GeoStreamers, in combination with three independent source vessels in a simultaneous long-offset (SLO) configuration, to achieve an effective far offsets in excess of 16 kilometers. Acquisition modeling indicates that this design is essential for illuminating the deep sub-salt Wilcox targets in Garden Banks and Keathley Canyon areas, which historically have been the most difficult imaging areas in the Gulf of Mexico. PGS'' industry leading GeoStreamer dual sensor technology provides enhanced signal to noise and low frequency response for all offsets. The imaging workflow will include velocity model building leveraging the full suite of PGS model building tool, including our proprietary hyperTomo technology. To create the best possible image, we will leverage TTI RTM with 3D angle gather output, allowing for image optimization and pre-stack data access throughout the model building sequence and for final image optimization.

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