TITLE:
Three-Dimensional Reservoir Modeling Using Stochastic Simulation, a Case Study of an East African Oil Field
AUTHORS:
Margaret Akoth Oloo, Congjiao Xie
KEYWORDS:
Geostatistical Modeling, Stochastic Simulation, Variograms, Sequential Indicator Simulation, Sequential Gaussian Simulation
JOURNAL NAME:
International Journal of Geosciences,
Vol.9 No.4,
April
30,
2018
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.