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Novel modelled analogue data for more efficient exploitation of deepwater hydrocarbon reservoirs

Objective

The objective is to reduce the development costs of deep water reservoirs, and increase the success rate of wells drilled during development, by improved reservoir characterization. Fields that lie in deep water depths often consist of sediments that have been deposited in deep water. Development of deepwater reservoirs is often sanctioned on very little well data: prospects are typically evaluated with a 3D seismic survey and sparse well and core data. Therefore maximizing the use of the expensive well data and its integration with relatively low-cost data such as 3D seismic is critical. The improved reservoir characterization will be achieved by developing a predictive 3D geological model for deepwater sediments, from data collected from the world's best geological outcrop analogue for deepwater sediments, the Tanqua Basin fan complex in South Africa.

Call for proposal

Second Call - 0
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Coordinator

SCHLUMBERGER CAMBRIDGE RESEARCH
Address
High Cross Madingley Road
Cambridge
United Kingdom

Participants (6)

DEN NORSKE STATS OLJESELSKAP A.S.
Norway
Address
Forusbeen 50
Stavanger
SCHLUMBERGER CAMBRIDGE RESEARCH
United Kingdom
Address
Madingley Road, High Cross
Cambridge
SERVICES PETROLIERS SCHLUMBERGER PARIS SA
France
Address
42 Rue Saint-dominique
Paris
TECHNISCHE UNIVERSITEIT DELFT
Netherlands
Address
Julianalaan 134
Delft
UNIVERSITY OF LIVERPOOL
United Kingdom
Address
Senate House, Abercromby Square
Liverpool
UNIVERSITY OF STELLENBOSCH
South Africa
Address
Private Bag X1, Matieland, Victoria Street
Stellenbosch