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- W2018338735 abstract "Nowadays geological models play an important role in the evaluation of hydrocarbon resources and associated geological uncertainties become an integral part of any reservoir assessment. However, petrophysical uncertainty is often ignored in the modelling process, yet it may cardinally impact in-place volumes evaluation. Thus, the main objective of this paper is to present the Monte-Carlo simulation method used for the well log stochastic interpretation, performed on the example of Termokarstovoye field. In order to address the petrophysical uncertainty, the stochastic well logs interpretation has been performed on several vertical wells of Termokarstovoye field. A stochastic petrophysical evaluation gives the possibility to obtain the values of porosity, water saturation and clay content together with their uncertainty ranges. Also a stochastic interpretation provides a large number of HCPV (hydrocarbon cumulated pore volume) values whose distribution characterizes the uncertainty. Moreover, ranking of the most impacting parameters on the final result can be done by the quantifying their influence on the overall petrophysical uncertainty. In addition, knowing major uncertain parameters, it is possible to detect which supplemental measurements are required to reduce the final uncertainty. Also the important consequence of stochastic interpretation is the possibility to reduce the risk of development drilling by placing the well in the least risky zones" @default.
- W2018338735 created "2016-06-24" @default.
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- W2018338735 date "2015-03-23" @default.
- W2018338735 modified "2023-09-23" @default.
- W2018338735 title "Petrophysical Uncertainty Evaluation: Modeling and Impact on Hydrocarbon-In-Place" @default.
- W2018338735 doi "https://doi.org/10.3997/2214-4609.201412055" @default.
- W2018338735 hasPublicationYear "2015" @default.
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