First-principles Rheological Modelling and Parameter Estimation for Nanoparticle-based Smart Drilling Fluids

Simon I. Reilly, Zisis Vryzas, Vassilios C. Kelessidis, Dimitrios I. Gerogiorgis

Research output: Chapter in Book/Report/Conference proceedingChapter

11 Citations (Scopus)

Abstract

Drilling fluids serve many applications in the oil-drilling process, including the removing of cuttings, drill bit cooling and the prevention of fluid transfer to and from the rock strata. With the addition of nanoparticles it is possible to facilitate in-situ control of the drilling fluid rheology, increasing the hydraulic efficiency of drilling campaigns and reducing costs in a variety of reservoir environments. This paper proposes a first-principles approach to the rheology of smart drilling fluids containing Fe3O4 nanoparticles which have shown advantages to increasing drilling efficiency in a variety of reservoir environments. The model for shear stress is developed based on a force balance between the Van der Waals attractions of monodispersed Fe3O4 nanoparticle spheres. The model for viscosity is developed by considering the force required to maintain the nanoparticles in suspension being equal to the drag force as calculated for Stokes flow approximation about a sphere. Both models had a candidate equation for interparticle distance under increasing shear rate. A bivariate model described the rheological effects of shear rate and Fe3O4 nanoparticle concentration with a high predictive potential R2 τγ.ϕ=0.993,R2 μγ.ϕ=0.999. The trivariate model accounts for temperature with high predicative potential R2 τγ.ϕT=0.983,R2 μγ.ϕT=0.986. Heating effects and low nanoparticle concentrations increase standard correlation error.

Original languageEnglish
Title of host publication26 European Symposium on Computer Aided Process Engineering, 2016
PublisherElsevier B.V.
Pages1039-1044
Number of pages6
Volume38
ISBN (Print)9780444634283
DOIs
Publication statusPublished - 2016

Publication series

NameComputer Aided Chemical Engineering
Volume38
ISSN (Print)15707946

Fingerprint

Drilling fluids
Parameter estimation
Nanoparticles
Drilling
Rheology
Shear deformation
Drag
Shear stress
Suspensions
Oils
Rocks
Hydraulics
Viscosity
Cooling
Heating
Fluids
Costs

Keywords

  • drilling fluids
  • modelling
  • nanoparticles
  • rheology
  • shear stress
  • viscosity

ASJC Scopus subject areas

  • Chemical Engineering(all)
  • Computer Science Applications

Cite this

Reilly, S. I., Vryzas, Z., Kelessidis, V. C., & Gerogiorgis, D. I. (2016). First-principles Rheological Modelling and Parameter Estimation for Nanoparticle-based Smart Drilling Fluids. In 26 European Symposium on Computer Aided Process Engineering, 2016 (Vol. 38, pp. 1039-1044). (Computer Aided Chemical Engineering; Vol. 38). Elsevier B.V.. https://doi.org/10.1016/B978-0-444-63428-3.50178-8

First-principles Rheological Modelling and Parameter Estimation for Nanoparticle-based Smart Drilling Fluids. / Reilly, Simon I.; Vryzas, Zisis; Kelessidis, Vassilios C.; Gerogiorgis, Dimitrios I.

26 European Symposium on Computer Aided Process Engineering, 2016. Vol. 38 Elsevier B.V., 2016. p. 1039-1044 (Computer Aided Chemical Engineering; Vol. 38).

Research output: Chapter in Book/Report/Conference proceedingChapter

Reilly, SI, Vryzas, Z, Kelessidis, VC & Gerogiorgis, DI 2016, First-principles Rheological Modelling and Parameter Estimation for Nanoparticle-based Smart Drilling Fluids. in 26 European Symposium on Computer Aided Process Engineering, 2016. vol. 38, Computer Aided Chemical Engineering, vol. 38, Elsevier B.V., pp. 1039-1044. https://doi.org/10.1016/B978-0-444-63428-3.50178-8
Reilly SI, Vryzas Z, Kelessidis VC, Gerogiorgis DI. First-principles Rheological Modelling and Parameter Estimation for Nanoparticle-based Smart Drilling Fluids. In 26 European Symposium on Computer Aided Process Engineering, 2016. Vol. 38. Elsevier B.V. 2016. p. 1039-1044. (Computer Aided Chemical Engineering). https://doi.org/10.1016/B978-0-444-63428-3.50178-8
Reilly, Simon I. ; Vryzas, Zisis ; Kelessidis, Vassilios C. ; Gerogiorgis, Dimitrios I. / First-principles Rheological Modelling and Parameter Estimation for Nanoparticle-based Smart Drilling Fluids. 26 European Symposium on Computer Aided Process Engineering, 2016. Vol. 38 Elsevier B.V., 2016. pp. 1039-1044 (Computer Aided Chemical Engineering).
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