Abstract
Conditional simulation approach is the major trend and reseach focus of geostatistic development. In this paper, simulation result, statistical parameters and variogram is analysized by applying sequential indicator simulation to reservoir modeling, besides, the comparison between kriging and sequential simulation method has been made. The result proves the characteristic of conditional simulation and enriches the theory. This paper discusses indicator variation function and indicator model, the smoothing effect of kriging estimation can be seen from simulation results. Finally, the sequential conditional method has been applied to reservoir simulation modeling and theoretical basis and example provides a wide range of choices to describe the real geological conditions.
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© 2012 Springer-Verlag Berlin Heidelberg
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Yu, X., Li, X. (2012). The Application of Sequential Indicator Simulation and Sequential Gaussian Simulation in Modeling a Case in Jilin Oilfield. In: Deng, W. (eds) Future Control and Automation. Lecture Notes in Electrical Engineering, vol 173. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31003-4_14
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DOI: https://doi.org/10.1007/978-3-642-31003-4_14
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-31002-7
Online ISBN: 978-3-642-31003-4
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