TY - JOUR
T1 - Characterization of fluid flow anisotropy in a carbonate reservoir using AVAz inversion of wide-azimuth seismic data
AU - den Boer, Lennert
AU - Sayers, Colin M.
AU - Gofer, Edan
AU - Lascano, Maria E.
AU - Walz, Milton A.
AU - Dasgupta, Sagnik
AU - Purdue, Greg
AU - Goodway, Bill
N1 - Publisher Copyright:
© 2017 SEG.
PY - 2017/8/17
Y1 - 2017/8/17
N2 - Rock fractures are of great practical importance to petroleum reservoir engineering because they provide pathways for fluid flow, especially in reservoirs with low matrix permeability, where they constitute the primary flow conduits. An example is the Midale reservoir, SE Saskatchewan, Canada. In such reservoirs, understanding the spatial distribution of natural fracture networks is key to optimizing production. Fortunately, the presence of fractures can be inferred from variations in reflection amplitude as a function of azimuth and incidence angle. This paper presents the application of a method for constructing a geologically realistic discrete fracture network (DFN), constrained by seismic amplitude variation with offset and azimuth (AVAz) data. The DFN realization is upscaled to compute the anisotropic permeability tensor, which is then compared with waterflood results.
AB - Rock fractures are of great practical importance to petroleum reservoir engineering because they provide pathways for fluid flow, especially in reservoirs with low matrix permeability, where they constitute the primary flow conduits. An example is the Midale reservoir, SE Saskatchewan, Canada. In such reservoirs, understanding the spatial distribution of natural fracture networks is key to optimizing production. Fortunately, the presence of fractures can be inferred from variations in reflection amplitude as a function of azimuth and incidence angle. This paper presents the application of a method for constructing a geologically realistic discrete fracture network (DFN), constrained by seismic amplitude variation with offset and azimuth (AVAz) data. The DFN realization is upscaled to compute the anisotropic permeability tensor, which is then compared with waterflood results.
UR - http://www.scopus.com/inward/record.url?scp=85119065078&partnerID=8YFLogxK
U2 - 10.1190/segam2017-17402315.1
DO - 10.1190/segam2017-17402315.1
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AN - SCOPUS:85119065078
SN - 1052-3812
SP - 3012
EP - 3016
JO - SEG Technical Program Expanded Abstracts
JF - SEG Technical Program Expanded Abstracts
T2 - Society of Exploration Geophysicists International Exposition and 87th Annual Meeting, SEG 2017
Y2 - 24 September 2017 through 29 September 2017
ER -