TITLE:
Application of Sequential Indicator Simulation in Geological Study of X Oilfield in Zhujiangkou Basin
AUTHORS:
Linlin Wang, Yongbiao Wang
KEYWORDS:
3D Geological Modeling, Sequential Indicator, Indicator Kriging, Lithofacies, Heterogeneity, Smoothing Effect
JOURNAL NAME:
Open Journal of Yangtze Oil and Gas,
Vol.5 No.1,
January
14,
2020
ABSTRACT: Sequential indicator simulation is a commonly used method for discrete variable simulation in 3D geological modeling and a widely used stochastic simulation method, which can be used not only for continuous variable simulation but also for discrete variable simulation. In this paper, the X Oilfield in the western South China Sea is taken as an example to compare the sequential indicator simulation method and the Indicator Kriging interpolation method. The results of the final comparison show that the results of the lithofacies model established by the Indicator Kriging deterministic interpolation method are overly smooth, and its coincidence rate with the geological statistical results is not high, thus cannot well reflect the heterogeneity of the underground reservoir, while the simulation results of the lithofacies model established by the sequential indicator stochastic simulation method can fit well with the statistical law of the well, which has eliminated the smoothing effect of Kriging interpolation, thus can better reflect the heterogeneity of the underground reservoir. Therefore, the sequential indicator simulation is more suitable for the characterization of sand bodies and the study of reservoir heterogeneity.