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Understanding and Predicting Fractures at Tengiz – A Giant, Naturally Fractured
Reservoir
in the Caspian Basin of Kazakhstan*
By
Wayne Narr1, Dennis J. Fischer2, Paul M. (Mitch) Harris1, Thomas Heidrick2, Ben T. Robertson2, and Karen Payrazyan1
Search and Discovery Article #20057 (2008)
Posted June 25, 2008
*Adapted from oral presentation at AAPG Hedberg Conference, "Carbonate
Reservoir
Characterization
and Simulation: From Facies to
Flow
Units
," El Paso, Texas, March 14-18, 2004.
1 ChevronTexaco Energy Technology Company, San Ramon, California, U.S.A. ([email protected])
3 Tengizchevroil, Atyrau, Kazakhstan
Tengiz oil field in Kazakhstan produces from an isolated carbonate platform (areal extent of 160 km2) of Devonian and Carboniferous age, consisting almost exclusively of limestone. Seismic and well data clearly show two principal regions within the buildup, platform and slope (or flank) that directly relate to
reservoir
quality and production characteristics. Natural fractures significantly impact producibility of the flank portion of the
reservoir
.
Characterization
of fractures in the Tengiz
reservoir
has two primary objectives:
- To advance a consistent, qualitative, geological conceptual model that allows us to understand the fracture distribution.
- To build a quantitative model for use as the basis for fluid-
flow
simulation.
Most Tengiz fractures formed syndepositionally due to gravitational collapse of the laterally expanding Tengiz carbonate platform. Many
reservoir
fractures are equivalent to neptunian dikes, which originate as syndepositional extension fractures. Syndepositional faults may also be present, but in smaller abundance. The Tengiz fractures strike parallel to the depositional margin and are in greatest abundance in the vicinity of the paleo-shelf-margin (rim) and slope. Facies showing the highest lateral growth-rate have the greatest fracture density. The Permian Capitan shelf margin of the Guadalupe Mountains of New Mexico presents a genetic analog for this style of fracturing.
Constructing a model for
flow
simulation involves progressing from discrete fractures to computation of effective medium
flow
properties for model cells. Fracture data for our
reservoir
model come primarily from image logs and core. These discrete fractures are converted to fracture density logs (fracture surface area/m3). We use a neural-net approach for spatial distribution of fracture properties throughout the model. This allows various distributed properties (matrix porosity, facies, seismic attenuation, etc.) to determine the spatial distribution of fracture density. The approach is similar to non-linear multiple regression; the input parameters predict the output distribution. The choice of distributed properties (input parameters) is where geologic knowledge and intuition come into play.
The final step combines fracture density, fracture geometry, and matrix permeability to compute permeability tensors for each grid cell. This step uses a boundary-element model that combines the interacting effects of fracture-
flow
and matrix-
flow
.
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Comparison of Tengiz and Capitan Margin Fractures
Fractures at Tengiz are mainly syndepositional extensional fractures that developed during lateral growth of the carbonate platform. We use an NFR workflow that involves:
We thank Tengizchevroil and its partners for allowing us to share information about the Tengiz oil field—ChevronTexaco, ExxonMobil, KazMunaiGas, LukArco, and Republic of Kazakhstan.
Playford, P.E., 1984, Platform-margin and marginal slope relationships in Devonian reef complexes of the Canning basin, in P. G. Purcell, ed., The Canning basin, W.A.: Proceedings of the Geological Society of Australia/Petroleum Exploration Society of Australia Symposium, p. 189-214. |
