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The AAPG/Datapages Combined Publications Database
Houston Geological Society Bulletin
Abstract
Abstract: Cross-well Seismic
Reservoir
Characterization
and
Monitoring![Next Hit](/data/images/arrow_right.gif)
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By
Mobil Research and Development Corp. Dallas, Texas
* Advanced Reservoir
Technologies, Dallas, Texas
** Amoco Production Research, Tulsa, Oklahoma
Recent cross-well seismic interpretation
case studies indicate that seismic
tomograms and high resolution reflection
images can be used to quantitatively
characterize and monitor reservoirs.
The cross-well area/volume of
numerous Oklahoma and West Texas
carbonate and clastic reservoirs has
been characterized using baseline
cross-well seismic surveys and interdisciplinary
interpretation based on geoscience/
engineering data and reservoir
models. Results define the cross-well
structure, stratigraphy
reservoir
versus
nonreservoir facies, high-porosity
zones, and fluid type and distribution.
The time-lapse interpretation of
twenty-seven cross-well seismic surveys
acquired during a 3.5-month period
across a California heavy oil sand
steamflood indicates that cross-well
seismic tomograms can be used to
monitor the thermal recovery process.
S-wave tomograms, which define
reservoir
structure, lithofacies, and porosity,
do not change with time. The time-lapse
P-wave tomograms, in contrast,
define several areas where velocity decreased
a small amount during an injection
cycle and a larger amount after
the injectors were shut in. These areas
have been affected by the increasing
temperature, formation of gas, and
pressure changes due to the steam injection
process. Application of the
cross-well seismic
reservoir
characterization
and
monitoring
results during
operations should help optimize the
location of infill wells, injection intervals,
and completions. Improvements
in acquisition tools, which have reduced
acquisition time to as short as
two hours, have helped minimize the
impact on field operations and reduce
costs. These developments suggest that
cross-well seismic technology has the
potential to develop into a cost-efficient
technology for selected
reservoir
management applications.
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