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Abstract


 
Chapter from: SG 42:  Applications of 3-D Previous HitSeismicNext Hit Previous HitDataNext Hit to Exploration and Production

Edited by: 
Paul Weimer and Thomas L. David

Authors:
Goeffrey A. Dorn, Kenneth M. Tubman, Dennis Cooke, and Rob O'Connor

Published 1996 as part of Studies in Geology 42
Copyright © 1996 The American Association of Petroleum Geologists.  All Rights Reserved.
 

*Editorial Note: Page numbers in this digital version (HTML and PDF) do not correspond to those of the hardcopy.
Otherwise, the two are the same.
 
 

CHAPTER 11

Chapter 11: Geophysical Reservoir Characterization of Pickerill Field, North Sea, Using 3-D Previous HitSeismicNext Hit and Well Previous HitDataNext Hit

Geoffrey A. Dorn*, Kenneth M. Tubman*, Dennis CookeÝ, and Rob O'Connor§

 

Dorn, G., K. Tubman, D. Cooke, and R. O'Connor, Geophysical Reservoir Characterization of Pickerill Field, North Sea, Using 3-D Previous HitSeismicNext Hit and Well Previous HitDataNext Hit, in P. Weimer and T. L. Davis, eds., AAPG Studies in Geology No. 42 and SEG Geophysical Development Series No. 5 AAPG/SEG, Tulsa, p. 107-122.
ABSTRACT

Pickerill Field is a relatively thin, highly faulted gas reservoir in the southern gas basin of the North Sea. The 100- to 250-ft (30-to 76-m) thick, Permian Rotliegend reservoir consists primarily of thin dune and interdune deposits overlying generally poorer-quality fluvial sands. There is a rapid lateral variation in reservoir quality due to facies changes and compartmentalization due to diagenesis associated with faults.

A combination of petrophysics and geophysics was used to develop Previous HitseismicNext Hit criteria that could be used to optimize the location of development wells. An analysis of horizon attributes from the 3-D Previous HitseismicNext Hit survey produced a detailed reservoir fault map. Analysis of log Previous HitdataNext Hit, Previous HitseismicNext Hit modeling, and horizon attributes produced an estimated reservoir porosity map. These have been used to help optimize the position of development wells in the field.

A detailed Previous HitinterpretationNext Hit was made of several horizons in the 3-D Previous HitseismicNext Hit survey, including the Top Rotliegend (top reservoir) reflection. A set of Previous HitseismicNext Hit horizon attributes, based on horizon structure and reflection amplitude, were generated at the Top Rotliegend. Reservoir faults with throws as small as 15 ft (5 m) were interpreted and mapped. Since many faults were sealed by diagenesis subsequent to faulting, these results have helped identify potential compartmentalization and have allowed development wells to be positioned away from these potential barriers to flow.

Synthetic Previous HitseismicNext Hit modeling using log Previous HitdataNext Hit from exploration wells indicated a linear relationship between reservoir reflection amplitude and average reservoir porosity. Log-based wavelet extraction was used to correct phase errors in the Previous HitseismicNext Hit Previous HitdataTop. Phase-corrected reflection amplitude from the Top Rotliegend reflection was correlated with porosity at exploration wells. The resulting empirical amplitude-porosity relationship has been used to successfully predict gross reservoir porosity in several wells drilled since the work was concluded.

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