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The AAPG/Datapages Combined Publications Database
Houston Geological Society Bulletin
Abstract
Abstract:
Seismic
Reservoir Characterization of a Gas Shale
Utilizing Azimuthal Data Processing, Pre-Stack
Seismic
Inversion and Ant Tracking
Seismic
Reservoir Characterization of a Gas Shale
Utilizing Azimuthal Data Processing, Pre-Stack
Seismic
Inversion and Ant Tracking
1Schlumberger Data & Consulting Services, Houston
2WesternGeco, Denver
3Schlumberger Data & Consulting Services, Denver
Prospective hydrocarbon-bearing zones in gas shales are characterized by primary gas storage entrapped in the sediment matrix with some additional gas in the open fractures. This gas is economically recovered by horizontal drilling and fracturing. Mineralization of faults is a reservoir risk. Faults also represent significant completion risk, as fracture completion jobs often are “captured” by nearby faults.
A wide azimuth 3D survey was acquired of
the studied shale to highlight areas exhibiting
seismic
velocity
anisotropy
for detection of
open fractures. Simultaneous prestack inversion
of the
seismic
data to Poisson’s ratio
targets matrix-stored gas.
Seismic
processing
for the detection of horizontal
anisotropy
targets the gas stored in
fractures. Reservoir risk related to fault mineralization is addressed
through a detailed imaging of the fault planes
and the detection of anomalously low
anisotropy
along and adjacent to faults.
Prospective zones for gas production are
identified by areas of anomalously low
Poisson’s ratio away from faults, with (in
this particular shale) high velocity
anisotropy
. This study documents the
results of an integrated workflow of data
processing, pre-stack
seismic
inversion and
Ant Tracking to successfully characterize
faults and fractures and to identify sweet
spots in the gas shale.
During data processing, azimuthal
anisotropy
analysis was conducted
to determine the dominant direction of Vfast and Vslow.
In general, there is good agreement between the azimuthal
seismic
data processing velocity analysis and Ant Tracking results.
Simultaneous amplitude versus offset
(AVO) inversion was done on prestack data
to invert for acoustic impedance (AI) and
Poisson’s ratio. Areas of low Poisson’s ratio
away from faults are thought to be promising
hydrocarbon leads or prospects.
Delineation of Matrix Storage of Gas
Simultaneous prestack inversion of the
seismic
data for Poisson’s ratio proved to be
effective in delineating areas of low
Poisson’s ratio that are thought to indicate
the primary, more siliceous, relatively more
porous, gas-charged sweet spots.
Because the studied gas shale is thought to produce primarily from the sediment matrix
Measuring
Fractures with
Seismic
End_Page 35---------------
rather than open fractures, the inversion was run on a full-azimuth basis. In a shale where open fractures are more important, we would recommend running the inversion twice, once on the fast-direction data (as determined by the azimuthal anisotropic data processing) and separately on the slow-direction data. The fastdirection would give a good measure of thematrix-only effects of lithology, porosity, and charge. The slow direction would provide, by comparison, a measure of the effects of gas-charged open fractures.
Delineation of Gas-Charged Open Fractures
Azimuthal velocity analysis for
anisotropy
was used to delineate areas of open fracturing
and stored stress. Comparisons of well productivity with rock
physics
seismic
attributes have revealed that wells drilled into
areas of high
anisotropy
in this particular shale have anomalously
long-lived production, presumably from more effective
fracture completions.
Detailed Imaging of Faulting
Ant Tracking reduces the risk of drilling near faults (a reservoir
risk due to expected mineralization) by providing a high resolution
image of fractures and faults beyond what can be interpreted
from conventional
seismic
data. Faults were expected to be
mineralized, with some mineralization extending out into the
surrounding shales.
End_Page 37---------------
Integration with the anisotropic analysis confirmed
this for most faults. Some faults,
however, lacked the diagnostic low
anisotropy
expected with mineralization.
Conclusions
Integration of anisotropic data processing
with pre-stack
seismic
inversion and Ant
Tracking provides a superior tool to explore
for gas in gas shale. The integration of
Poisson's ratio, fractogram, azimuthal
anisotropic analysis, and Ant Tracking from
surface
seismic
data provides actionable information
for leasing and well placement,
including the delineation of areas with
enhanced porosity and charge, areas with
open fractures, and areas with faulting, revealing
likely sweet spots as well as areas to be avoided in drilling.
Integration-The
Bigger Picture
End_of_Record - Last_Page 39---------------