Three-Dimensional Reservoir Modeling Using Stochastic Simulation, a Case Study of an East African Oil Field ()
ABSTRACT
This paper presents a three-dimensional geological reservoir model created
using stochastic simulation. The oil field presented is an East African oil field
formed by a structural trap. Data analysis and transformations were conducted
on the properties before simulation. The variogram was used to measure
the spatial correlation of cell-based facies modeling, and porosity and
permeability modeling. Two main lithologies were modelled using sequential
indicator simulation, sand and shale. Sand had a percentage of 26.8% and
shale of 73.2%. There was a clear property distribution trend of sand and shale
from the southwest to the northeastern part of a reservoir. The distribution
trend of the facies resembled the proposed depositional model of the reservoir.
Simulations show that average porosity and permeability of the reservoir
are about 20% and 1004 mD, respectively. Average water saturation was 64%.
STOIIP volume of 689.42 MMbbls was calculated. The results of simulation
showed that the south eastern part of the reservoir holds higher volumes of
oil. In conclusion, the model gave a better geological understanding of the geology
of the area and can be used for decision making about the future development
of the reservoir, prediction performance and uncertainty analysis.
Share and Cite:
Oloo, M. and Xie, C. (2018) Three-Dimensional Reservoir Modeling Using Stochastic Simulation, a Case Study of an East African Oil Field.
International Journal of Geosciences,
9, 214-235. doi:
10.4236/ijg.2018.94014.