A Review of Geostatistical Reservoir Modeling Development

doi:10.11885/j.issn.16745086.2017.01.22.01

Abstract

Abstract: Two-point geostatistical reservoir modeling uses a variogram to confirm the correlation between random variables, solving the issue of spatial linear interpolation of geological variables. With an independent variation function defined for different directions, this type of interpolation algo-rithm can even characterize the anisotropy of geological variables. Multiplepoint geostatistics simulation (MPS) uses two major types of algorithms:pixel-based simulation and pattern-based simulation. Based on the differences of the pattern classification and simulation process, we can further classify the pattern-based simulation algorithms into direct, filter-based, and distance-based algorithms. Based on geostatistical algorithm evolution, we summarized the two-point geo-statistics and MPS algorithms and their application. Based on image identification, the MPS expands the two-point geostatistics research field, identifying thin and impermeable interbeds in sedimentary bodies, integrating production data, simulating the continuities of interwell reservoirs, and simulating the fractal characteristics of fractures.

Key words: geostatistics, reservoir, fracture, interbed, image identification, simulation

CLC Number:

TE12

HUANG Xiaojuan, LI Zhiping, ZHOU Guangliang, LIU Qian, LI Hong. A Review of Geostatistical Reservoir Modeling Development[J]. 西南石油大学学报(自然科学版), 2017, 39(5): 61-69.

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