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dc.contributor.authorliu, J.
dc.contributor.authorXu, Honglei
dc.contributor.authorWu, G.
dc.contributor.authorTeo, Kok Lay
dc.contributor.editorHonglei Xu, Song Wang, Soon-Yi Wu
dc.identifier.citationliu, J. and Xu, H. and Wu, G. and Teo, K.L. 2015. A New Hybrid Optimization Algorithm for the Estimation of Archie Parameters, in Honglei Xu, Song Wang, Soon-Yi Wu (ed), The 9th International Conference on Optimization: Techniques and Applications (ICOTA9), Dec 12 2013, pp. 137-154. Tai pei, Taiwan: Springer.

Archie formula, which contains three fundamental parameters (a, m, n), is the basic equation to compute the water saturation in a clean or shaly formation. These parameters are known as Archie parameters. To identify accurately the water saturation for a given reservoir condition, it depends critically on the accurate estimates of the values of Archie parameters (a, m, n). These parameters are interdependent and hence it is difficult to identify them accurately. So we present a new hybrid global optimization technique, where a gradient-based method with BFGS update is combined with an intelligent algorithm called Artificial Bee Colony. This new hybrid global optimization technique has both the fast convergence of gradient descent algorithm and the global convergence of swarm algorithm. It is used to identify Archie parameters in carbonate reservoirs. The results obtained are highly satisfactory. To further test the effectiveness of the new hybrid global optimization method, it is applied to ten non-convex benchmark problems. The outcomes are encouraging.

dc.subjectArchie parameters
dc.subjectGradient-based method
dc.subjectABC algorithm
dc.subjectHybrid global optimization
dc.titleA New Hybrid Optimization Algorithm for the Estimation of Archie Parameters
dc.typeConference Paper
dcterms.source.titleOptimization Methods, theory and Applications
dcterms.source.seriesOptimization Methods, theory and Applications
dcterms.source.conferenceThe 9th International Conference on Optimization: Techniques and Applications (ICOTA9)
dcterms.source.conference-start-dateDec 12 2013
dcterms.source.conferencelocationTai pei, Taiwan
dcterms.source.placeberlag Berlin Haidelberg
curtin.departmentDepartment of Mathematics and Statistics
curtin.accessStatusFulltext not available

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