International Journal of
Physical Sciences

  • Abbreviation: Int. J. Phys. Sci.
  • Language: English
  • ISSN: 1992-1950
  • DOI: 10.5897/IJPS
  • Start Year: 2006
  • Published Articles: 2569


Fuzzy logic in candidate-well selection for hydraulic fracturing in oil and gas wells: A critical review

Mansoor Zoveidavianpoor1*, Ariffin Samsuri1 and Seyed Reza Shadizadeh2
  1Faculty of Petroleum and Renewable Energy Engineering, Universiti Teknologi Malaysia,Johor, Malaysia. 2Abadan Institute of Petroleum Engineering, Petroleum University of Technology, Abadan, Iran.
Email: [email protected]

  •  Accepted: 04 June 2012
  •  Published: 05 July 2012



During the last two decades, Fuzzy Logic (FL) Systems have been increasingly applied to the research area of petroleum engineering. Hydraulic Fracturing (HF) as an important discipline in this area and stimulation of oil and gas wells is an important tool for natural gas and oil exploitation, whose success relies on proper selection of target well and target formation. To date, however, no paper has attempted to summarize and present a critique of the existing FL literature. This paper, therefore, aims to review the FL literature that has been conducted in candidate-well selection for HF. Selecting a target formation(s) among a vast numbers of zones/sub-layers within huge numbers of hydrocarbon-producing wells in a reservoir is considered a difficult task, particularly if the selection goes through a group of parameters having different domains, attributes and features. In fact, this process had been recognized to be complex, nonlinear and adherent with uncertainty. It is proved that methods such as FL could reduce the uncertainty thus permit superior selection of candidates well for HF treatment. The comprehensive review provided in this paper offers new directions for FL and its application in HF candidate-well selection.


Key words: Candidate selection, hydraulic fracturing, fuzzy logic, uncertainty.