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Applications of type-2 fuzzy logic system: handling the uncertainty associated with candidate-well selection for hydraulic fracturing

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Abstract

The problem of selecting a target formation(s) in a reservoir among a vast number of zones/sub-layers within huge number of hydrocarbon producing wells for hydraulic fracturing (HF) by using interval type-2 fuzzy logic system (IT2-FLS) to maximize their net present value is studied in this paper. Classical fuzzy system which is called type-1 fuzzy logic system is not capable of accurately capturing the linguistic and numerical uncertainties in the terms used and the inconsistency of the expert’s decision-making. IT2-FLS is very useful in circumstances where it is difficult to determine an exact membership function for a fuzzy set; hence it is very effective for dealing with uncertainties. In highlighting this need, the question has been answered why IT2-FLS should be used in this study. The procedure of applying this study in the area of HF candidate-well selection is illustrated through a case study in an oil reservoir.

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Acknowledgments

The authors of this paper would like to express their gratitude to Universiti Teknologi Malaysia and NIOC due to their supports during this study.

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  1. Faculty of Petroleum and Renewable Energy Engineering, Universiti Teknologi Malaysia, 81310, Johor Bahru, Johor, Malaysia

    Mansoor Zoveidavianpoor & Abdoullatif Gharibi

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  1. Mansoor Zoveidavianpoor
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Correspondence to Mansoor Zoveidavianpoor.

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Zoveidavianpoor, M., Gharibi, A. Applications of type-2 fuzzy logic system: handling the uncertainty associated with candidate-well selection for hydraulic fracturing. Neural Comput & Applic 27, 1831–1851 (2016). https://doi.org/10.1007/s00521-015-1977-x

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