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Book Chapter

The Role of Satellite Seep Detection in Exploring the South Atlantic’s Ultradeep Water

By
Alan Williams
Alan Williams
NPA Group, Edenbridge, Kent, U.K.
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Geoff Lawrence
Geoff Lawrence
TREIC°L, Knebworth, Hertfordshire, U.K.
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Published:
January 01, 2002

Abstract

Satellite radar can now offer the oil industry an effective, low-cost technique for reducing source risk in high-cost exploration environments such as the ultradeep frontier basins of the South Atlantic margin. This is because of the ability to image surface oil seeps that originate by slow leakage from oil- and gas-filled traps. Multitemporal satellite data over such seeps provide the locations for follow-up surface sampling from which key geochemical information on the reservoired oil can be obtained ahead of the drill.

Satellite seep data over two of the world’s current deep-water hot spots, Angola and Brazil, are analyzed and compared with similar results from one of the seepiest areas of the world, the South Caspian Basin. In the Caspian, multirepeating seepage slicks on satellite radar have significantly extended the limits of the oil kitchen and have underlined the exploration potential of the undrilled deep-water blocks. Results from the prolific Lower Congo Basin off Angola also show an encouraging pattern of dense, repeating oil seepage in the deep- and ultradeep-water play fairways on trend with the recent deep-water oil discoveries of Girassol, Dalia, and others. This contrasts with results from the deep-water Santos Basin, where evidence of active oil seepage, although positive, is more scattered. Results from all three areas are integrated with public-domain subsurface data to provide an explanation of the different seepage styles in the three areas.

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Contents

AAPG Studies in Geology

Surface Exploration Case Histories: Applications of Geoschemistry, Magnetics, and Remote Sensing

Dietmar Schumacher
Dietmar Schumacher
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Leonard A. LeSchack
Leonard A. LeSchack
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American Association of Petroleum Geologists
Volume
48
ISBN electronic:
9781629810591
Publication date:
January 01, 2002

GeoRef

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