应用实验设计优选随机建模的储层模型

doi:10.11743/ogg20120112

Abstract

Abstract:

To improve the conventional reservoir model optimization techniques,this paper presents a method to introduce experimental design theory to uncertainty reservoir modeling optimization.First,we identified the dominant nondeterministic variables that influence the OOIP calculation and their probability distributions by the actual oilfield data analysis,and made a modeling plan through experimental design.And then,several deterministic models were built to calculate OOIP.Multiple regression was performed on the nondeterministic variables and the OOIP calculated with corresponding models.Finally,the Monte Carlo simulation was run to obtain the OOIP probability curve and P10,P50 and P90 model parameters,which were used to establish the reference P10,P50 and P90 models.This method is not only more objective and efficient,but also capable of identifying the key geologic uncertainties that influence the OOIP calculation and provides a new way to evaluate the uncertainty of OOIP.

Key words: uncertainty assessment, experimental design, stochastic modeling, probabilistic reserve, model optimization, reservoir model, reserve assessment

CLC Number:

TE122.2

Chong Renjie, Yu Xinghe, Li Tingting. Application of experimental design theory in stochastic reservoir model optimization[J]. Oil & Gas Geology, 2012, 33(1): 94-100,110.

References

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Application of experimental design theory in stochastic reservoir model optimization

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