Optimal determination of rheological parameters for herschel-bulkley drilling fluids using genetic algorithms (GAs)

Reza Rooki, Faramarz Doulati Ardejani, Ali Moradzadeh, Hossein Mirzaei, Vassilios Kelessidis, Roberto Maglione, Mahmood Norouzi

Research output: Contribution to journalArticle

18 Citations (Scopus)

Abstract

The rheological properties of a drilling fluid directly affect flow characteristics and hydraulic performance. Drilling fluids containing bentonite mixtures exhibit non-Newtonian rheological behavior which can be described with a high degree of accuracy by the three-parameter Herschel-Bulkley (HB) model. To determine the HB parameters, standard statistical techniques, such as the non-linear regression (NL) method are routinely used. However, sometimes they provide non physically acceptable solutions which could produce wrong values of the significant hydraulic parameters which affect drilling operations. To obtain more accurate results, the Golden Section (GS) method was subsequently developed by Kelessidis et al. (2006). In this work a different technique was developed using the Genetic Algorithms (GAs) to provide an easy-touse tool in order to determine the three parameters of the Herschel-Bulkley model more accurately. To evaluate the accuracy of the GAs method, experimental viscometric data sets of drilling fluids were taken from the literature and the results were compared with the ones obtained by using the NL and GS techniques. The results show that the GAs and the GS methods provide similar results with very high correlation coefficients and small sum of square errors for most of the samples exhibiting negative yield stress values by the NL technique, while giving similar to the NL technique for the samples that were predicted with positive yield stress. However, in some cases, the GAs method gives better and more realistic results than the GS method.

Original languageEnglish
Pages (from-to)163-170
Number of pages8
JournalKorea Australia Rheology Journal
Volume24
Issue number3
DOIs
Publication statusPublished - Sep 2012
Externally publishedYes

Fingerprint

Drilling fluids
drilling
genetic algorithms
regression analysis
Genetic algorithms
fluids
hydraulics
Yield stress
Hydraulics
Bentonite
bentonite
flow characteristics
correlation coefficients
Drilling

Keywords

  • Drilling
  • Genetic algorithms (GAs)
  • Herschel-bulkley model
  • Non-newtonian fluids
  • Rheological parameters

ASJC Scopus subject areas

  • Materials Science(all)
  • Condensed Matter Physics

Cite this

Optimal determination of rheological parameters for herschel-bulkley drilling fluids using genetic algorithms (GAs). / Rooki, Reza; Ardejani, Faramarz Doulati; Moradzadeh, Ali; Mirzaei, Hossein; Kelessidis, Vassilios; Maglione, Roberto; Norouzi, Mahmood.

In: Korea Australia Rheology Journal, Vol. 24, No. 3, 09.2012, p. 163-170.

Research output: Contribution to journalArticle

Rooki, Reza ; Ardejani, Faramarz Doulati ; Moradzadeh, Ali ; Mirzaei, Hossein ; Kelessidis, Vassilios ; Maglione, Roberto ; Norouzi, Mahmood. / Optimal determination of rheological parameters for herschel-bulkley drilling fluids using genetic algorithms (GAs). In: Korea Australia Rheology Journal. 2012 ; Vol. 24, No. 3. pp. 163-170.
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