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Book Chapter

Advanced Seismic-stratigraphic Imaging of Depositional Elements in a Lower Cretaceous (Mannville) Heavy Oil Reservoir, West-central Saskatchewan, Canada

By
Sabrina E. Sarzalejo Silva
Sabrina E. Sarzalejo Silva
Pacific Rubiales Energy, Calle 110 #9-25, Bogota, Colombia (e-mail: ssarzalejo@pacificrubiales.com.co)1Previous address: Earth and Planetary Sciences Department, McGill University, 3450 University St., Montreal, Quebec, H3A 0E8, Canada.
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Bruce S. Hart
Bruce S. Hart
ConocoPhillips, 600 N. Dairy Ashford, Houston, Texas, 77079, U.S.A. (e-mail: bruce.hart@conocophillips.com)1Previous address: Earth and Planetary Sciences Department, McGill University, 3450 University St., Montreal, Quebec, H3A 0E8, Canada.
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Published:
January 01, 2013

Abstract

We integrated core, wire-line logs, a three-dimensional (3-D) seismic volume, and a seismic attribute-derived 3-D lithology volume to define the stratigraphy of the Lower Cretaceous Mannville Group for a small area in Saskatchewan. The lithology volume was generated by integrating the seismic data with wire-line logs through the use of a probabilistic neural network. The stratigraphic interpretation was an iterative process: first, based on wire-line logs and cores; then, based on the integration of well and 3-D seismic data; and finally, by integrating the attribute-derived lithology volume with the other data sets. Integration of the lithology volume into our stratigraphic interpretation, along with the exploitation of seismic-based visualization technologies, helped us to construct a better geologic model than what could have been constructed using only well data or conventional seismic-stratigraphic analysis techniques. Unfortunately, despite the high-frequency content (and good to excellent quality of the data), meter-scale variations of lithology in the primary reservoir interval could not be detected seismically because of the low acoustic-impedance contrasts between the various lithologies in this interval. Various types of noise in the seismic data also degraded the attribute-based property prediction.

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Contents

AAPG Studies in Geology

Heavy-oil and Oil-sand Petroleum Systems in Alberta and Beyond

Frances J. Hein
Frances J. Hein
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Dale Leckie
Dale Leckie
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Steve Larter
Steve Larter
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John R. Suter
John R. Suter
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American Association of Petroleum Geologists
Volume
64
ISBN electronic:
9781629812649
Publication date:
January 01, 2013

GeoRef

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