--> Abstract: Identifying Pore Structure and Clay Content from Seismic Data within an Argillaceous Sandstone Reservoir, by Robert Schelstrate; #90183 (2013)
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Identifying Pore Structure and Clay Content from Seismic Data within an Argillaceous Previous HitSandstoneNext Hit Previous HitReservoirNext Hit

Robert Schelstrate
Texas A&M University, Department of Geology & Geophysics, College Station, Texas, United States of America
[email protected]

Previous HitSandstoneNext Hit facies are ideal reservoirs for the accumulation of hydrocarbons in conventional exploration due to high Previous HitporosityNext Hit and permeability. Interbedded Previous HitsandstoneNext Hit and shale, however, often occur in a depositional sequence. The amount of shale becomes a limiting factor in the quality of the Previous HitreservoirNext Hit by creating baffles to fluid flow. Previous studies have developed rock physics models of identifying critical clay content from experimental and well log data in a shaly Previous HitsandstoneNext Hit Previous HitreservoirNext Hit. This study is to correlate a rock physics-based petrophysical parameter with seismic attributes in order to map and predict the location of fluid baffles. The project will involve calculating the critical clay content within the target Previous HitreservoirNext Hit, by applying the model proposed by Adesokan (2012) to wells logs within the Norne field, offshore Norway. Once the petrophysical analysis is completed, a deterministic seismic inversion will be conducted, using the well log data to build an inverse model of Previous HitreservoirNext Hit interval to identify how clay content varies within the Previous HitreservoirNext Hit. Seismic inversion will generate a most likely case Previous HitreservoirNext Hit model, Previous HitpredictingNext Hit zones of increased clay content within the argillaceous Previous HitsandstoneNext Hit Previous HitreservoirTop. Utilizing the results of the seismic inversion, a volumetric assessment will be conducted to estimate original oil in place, which will then be compared to production data to gauge the accuracy of the method.

AAPG Search and Discovery Article #90183©2013 AAPG Foundation 2013 Grants-in-Aid Projects