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The AAPG/Datapages Combined Publications Database
AAPG Bulletin
Abstract
AAPG Bulletin, V.
1Manuscript received November 18, 1996; revised manuscript
received July 11, 1997; final acceptance October 16, 1997.
2Chevron Petroleum Technology Company, 1300 Beach Blvd.,
La Habra, California 90631-6374.
3Department of Geological Sciences, University of Michigan,
Ann Arbor, Michigan.
We acknowledge the help of many who made our work and publication possible:
the McElroy Reservoir Geosciences Project (MRGP) for allowing the use of
data and publication of results; Chevron U.S.A., especially Leon Roe, Bill
Dees, Jim Flis, Bob Lindsay, and Paul Griffiths, for data and valuable
discussions of McElroy field; Stanford Seismic Tomography Project and Chevron
Petroleum Technology Company (CPTC) for financial support of Richard Nolen-Hoeksema;
Bob Langan (CPTC) and Jerry Harris (Stanford) for valuable technical discussions
and vision; Spyros Lazaratos (Tomoseis) for the reflection images and velocity
tomograms at various stages of processing improvements; Dave Goggin (CPTC)
for geostatistical models; and Amoco, especially Chandra Rai, for plug
measurements. We especially thank CPTC for technical support and permission
to publish. The numerous suggestions of AAPG reviewers Jeff Dravis, Gregor
Eberli, and Neil Hurley greatly improved the manuscript.
ABSTRACT
Reservoir quality in the portion of McElroy field that we investigated
does not obviously relate to core-based lithofacies due to a complex diagenetic
overprint, primarily cementation by gypsum and anhydrite. The coincidence
of S-wave reflections on the cross-well data with decreases in porosity
or gypsum cement from whole-core analysis suggests that total porosity
and mineralogy dominantly influence velocity. Overall, the vertical location
of layers generated by reflection imaging correlates fairly well with major
log variations. In particular, positive events on the S-wave images correspond
almost exactly with increases in sonic velocity, increases in resistivity,
increases in bulk density, and decreases on the neutron porosity log from
high porosity (or gypsum) to low porosity (or gypsum).
Both the log and cross-well data respond to the same diagenetic overprint
and its resulting petrophysical characteristics; therefore, we group log
data into log facies using multivariate statistical techniques, such as
cluster analysis, rather than using core data for correlating reservoir
flow units and relating them to the cross-well images. Many of the positive-amplitude
events on the S-wave profiles correspond to transitions, in a vertical
sense, between the "best" reservoir cluster and less porous reservoir clusters,
which indicates the strong relationship between velocity and porosity.
In addition, lateral variations in many of the positive-amplitude events
can be tied to changes in porosity and differences in the clusters between
the wells. Comparing geostatistical porosity models directly to the S-wave
images suggests that the S-wave reflection images appear to be resolving
lateral changes in porosity of less than 56 m (185 ft) but more than 15
m (50 ft).
Cross-well seismic data from McElroy field, a Permian dolomite reservoir
in west Texas, demonstrate that high-resolution velocity and reflection
images are obtainable in this carbonate reservoir. Our geologic "ground-truthing"
results suggest that cross-well data, when integrated with porosity models
based on log facies, add value to reservoir characterization. The cross-well
data added information at the interwell scale that we could get no other
way.
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