Estimation of permeability from porosity, specific surface area, and irreducible water saturation using an artificial neural network

B. Basbug, Z. Karpyn

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

An Artificial Neural Network (ANN) was designed and tested in the present study to examine the correlation between permeability estimations and porous medium properties, such as porosity, specific surface area, and irreducible water saturation. The network developed in this work is a predictive tool that uses soft computing techniques to estimate absolute permeability of carbonate reservoirs. The Artificial Neural Network toolbox of MATLAB® R2006b and the Feed Forward Error Back Propagation methodology were used in the construction of the network. Carbonate reservoir field data presented in the literature were utilized in the training, testing, and validation of the proposed model. The present study indicates that ANN generated permeability values are consistent with those obtained from core analysis. Results from this study confirm the complex relationship among permeability, porosity, specific surface area and irreducible water saturation of carbonate reservoirs, and suggest that variations in specific surface area affect the magnitude of irreducible water saturations, thus creating an apparent dependence of permeability on irreducible water saturation. Additional observations support a direct relationship between porosity and permeability, and an inverse relationship between specific surface area and permeability.

Original languageEnglish (US)
Title of host publicationSPE Latin American and Caribbean Petroleum Engineering Conference
Pages1244-1253
Number of pages10
StatePublished - Aug 20 2007
EventSPE 10th Latin American and Caribbean Petroleum Engineering Conference, X LACPEC 07 - Buenos Aires, Argentina
Duration: Apr 15 2007Apr 18 2007

Publication series

NameProceedings of the SPE Latin American and Caribbean Petroleum Engineering Conference
Volume3

Other

OtherSPE 10th Latin American and Caribbean Petroleum Engineering Conference, X LACPEC 07
CountryArgentina
CityBuenos Aires
Period4/15/074/18/07

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All Science Journal Classification (ASJC) codes

  • Geology

Cite this

Basbug, B., & Karpyn, Z. (2007). Estimation of permeability from porosity, specific surface area, and irreducible water saturation using an artificial neural network. In SPE Latin American and Caribbean Petroleum Engineering Conference (pp. 1244-1253). (Proceedings of the SPE Latin American and Caribbean Petroleum Engineering Conference; Vol. 3).