Geostatistical applications in petroleum reservoir modelling
R Cao, Y Zee Ma, E Gomez
Geostatistics was initially developed in the mining sector, but has been
extended to other geoscience applications, including forestry, environmental
science, soil science, and petroleum science and engineering. This
paper presents methods, workflows, and pitfalls in using geostatistics
for hydrocarbon resource modelling and evaluation. Examples are
presented of indicator variogram analysis of categorical variables,
lithofacies modelling by sequential indicator simulation and hierarchical
workflow, porosity modelling by kriging and stochastic simulation,
collocated cokriging for integrating seismic data, and collocated cosimulation
for modelling porosity and permeability relationships. These
methods together form a systematic approach that can be effectively
used for modelling natural resources.
Keywords: facies modelling, propensity, multilevel or hierarchical modeling, objectbased
modeling, collocated cosimulation, porosity, permeability.