An overview to geostatistical modeling methods of the categorical variables for mineral resources and hydrocarbon reservoirs
Publish place: The fourth international conference on metallurgical, mechanical and mining engineering
Publish Year: 1401
نوع سند: مقاله کنفرانسی
زبان: English
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MMMC04_011
تاریخ نمایه سازی: 16 آبان 1401
Abstract:
Considering the key role of the mineral resources and hydrocarbon reservoirs and consequently, the inevitability of having their precise models, geostatistical tools are regarded as efficient and functional solutions for these problems. They not only provide accurate predictions, but they also quantify the corresponding uncertainties. To obtain a precise geostatistical models, an exact estimation of their categorical variables such as lithofacies and alteration zones are necessary. In this article, four geostatistical methods of modeling categorical variables were reviewed and their advantages and disadvantages were mentioned. The discussed methods include Sequential Indicator Simulation (SIS), Truncated Gaussian simulation (TGS) and Truncated Pluri-Gaussian Simulation (PGS), methods based on using Markov chain and transition probabilities.
Keywords:
Sequential Indicator Simulation (SIS) , Truncated Gaussian and Pluri-Gaussian Simulation (TGS and PGS) , Markov Chains , Transition Probabilities.
Authors
Enayatollah Ranjineh Khojasteh
Faculty of Mining Engineering, Sahand University of Technology, Sahand New Town, Tabriz,Iran