Abstract
One of the most difficult tasks in the characterization of reservoir heterogeneities is the representation of naturally fractured reservoirs. Geocellular models for reservoir simulation often require geological interpretation of the distribution of natural fractures both areally and vertically. The FMI data from horizontal wells provide valuable information about the distribution and orientation of natural fractures. Stochastic approaches can be useful in simulating fracture density derived from the FMI logs that would honor the known data. This paper presents stochastic simulation methods for developing the distribution of fracture density in one of the highly fractured reservoirs in Saudi Arabia. Sequential indicator simulation (SIS) method was used with two different variogram models, namely, the fractal and the spherical correlation models. The resulting fracture density field was useful in generating a 3D fracture permeability field for reservoir simulation by using it as a secondary data set in a permeability co-conditional simulation task reported elsewhere.
Original language | English |
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Pages | 121-136 |
Number of pages | 16 |
DOIs | |
State | Published - 1997 |
ASJC Scopus subject areas
- Geotechnical Engineering and Engineering Geology
- Geology