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Application of Fuzzy Logic in Selection of Best Well for Hydraulic Fracturing in Oil and Gas Fields

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10th International Conference on Theory and Application of Soft Computing, Computing with Words and Perceptions - ICSCCW-2019 (ICSCCW 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1095))

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Abstract

To meet high demand of hydrocarbons, innovative techniques are imperative, therefore hydraulic fracturing become popular to extract hydrocarbons from shale and tight formations. Designing of treatment and selection of most appropriate well for hydraulic fracturing plays a vital role to achieve maximum benefit from this expensive technology. Designing hydraulic fracturing job initiates with identification of best candidate well for job which includes understanding geological factors of area, well location, lithology, selection of proppant volume and understanding of created fracturing geometry, proppant volume. Other main constituents are fracture geometry which includes fracturing length, height and width.

Fuzzy Logic Systems application is vastly used in research area of petroleum engineering. This paper is focused on using fuzzy logic technique to decide best well for best well for hydraulic fracturing. Selection of most suitable well for hydraulic fracturing, among many zones/layers within many numbers of producing wells is reflected makes it difficult, especially when the selection process depends upon on a group of parameters having different variables, attributes and features. This process becomes multifaceted, nonlinear and advocate with uncertainties. This technique is proved to reduce uncertainties in selection of most suitable well for stimulation and hydraulic fracturing.

In the end of this paper example is also provided where fuzzy logic was used to reduce the uncertainties and by selecting the best candidate well, hydrocarbons (gas) production of candidate well was increased four times of its natural ability by using fuzzy logic.

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Author information

Authors and Affiliations

  1. Department of Petroleum Engineering, Azerbaijan State Oil and Industrial University, Baku, Azerbaijan

    T. Sh. Salavatov

  2. Dewan Petroleum Limited, Islamabad, 9583, Pakistan

    Khurram Iqbal

Authors
  1. T. Sh. Salavatov
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  2. Khurram Iqbal
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Corresponding author

Correspondence to T. Sh. Salavatov .

Editor information

Editors and Affiliations

  1. Joint MBA Program, Azerbaijan State Oil and Industry University, Baku, Azerbaijan

    Rafik A. Aliev

  2. Polish Academy of Sciences, Systems Research Institute, Warsaw, Poland

    Janusz Kacprzyk

  3. Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada

    Witold Pedrycz

  4. Department of Electrical and Computer Engineering, University of Texas at San Antonio, San Antonio, TX, USA

    Mo Jamshidi

  5. Azerbaijan State Oil and Industry University, Baku, Azerbaijan

    Mustafa B. Babanli

  6. Department of Mechatronics, Near East University, Nicosia, Turkey

    Fahreddin M. Sadikoglu

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Salavatov, T.S., Iqbal, K. (2020). Application of Fuzzy Logic in Selection of Best Well for Hydraulic Fracturing in Oil and Gas Fields. In: Aliev, R., Kacprzyk, J., Pedrycz, W., Jamshidi, M., Babanli, M., Sadikoglu, F. (eds) 10th International Conference on Theory and Application of Soft Computing, Computing with Words and Perceptions - ICSCCW-2019. ICSCCW 2019. Advances in Intelligent Systems and Computing, vol 1095. Springer, Cham. https://doi.org/10.1007/978-3-030-35249-3_53

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