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Abstract

Zhang, Xu, and C. Mike Du, 2011, Sensitivity analysis of hydraulically fractured shale gas reservoirs, in Y. Z. Ma and P. R. La Pointe, eds., Uncertainty analysis and reservoir modeling: AAPG Memoir 96, p. 281287.

DOI:10.1306/13301420M963488

Copyright copy2011 by The American Association of Petroleum Geologists.

Sensitivity Analysis of Hydraulically Fractured Shale Gas Reservoirs

Xu Zhang,1 C. Mike Du2

1Houston, Texas, U.S.A.
2Schlumberger, Addison, Texas, U.S.A.

ACKNOWLEDGMENTS

We thank Schlumberger for permission to publish this article and the reviewers for their helpful suggestions.

ABSTRACT

This study presents a reservoir simulation model to analyze the impact of reservoir and hydraulic fracture parameters on gas production from a shale gas reservoir. The model was constructed as a multiporosity system with matrix subgrids to account for transient gas flow from the matrix to the fractures. The extended Langmuir isotherm was applied to control the desorption process of multiple components during the production. Primary hydraulic fractures perpendicular to the horizontal wellbore were modeled explicitly with thin grid cells that preserved the conductivity. The hydraulically induced fracture network around the horizontal well was characterized by the matrix-fracture coupling factor and permeability of the fracture system.

The linear experimental design technique of the Plackett-Burman type was used to screen influential parameters including porosity and permeability of the reservoir matrix and fractures, matrix-fracture sigma factor, matrix subdivisions, primary hydraulic fracture half-length, height, spacing, and conductivity, rock compaction, non-Darcy flow coefficient, and gas content. A quadratic response surface model was constructed with three-level uncertainty parameters selected from the initial linear screening process. The model was verified by confirmation runs. Sensitivity studies provided important insights into the impact of reservoir and fracture parameters on shale gas production forecasts, which can be critical for fracture treatment design and production scheme optimization.

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