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    Estimation of Archie parameters by a novel hybrid optimization algorithm

    Access Status
    Fulltext not available
    Authors
    Liu, J.
    Dong, S.
    Zhang, L.
    Ma, Q.
    Wu, Changzhi
    Date
    2015
    Type
    Journal Article
    
    Metadata
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    Citation
    Liu, J. and Dong, S. and Zhang, L. and Ma, Q. and Wu, C. 2015. Estimation of Archie parameters by a novel hybrid optimization algorithm. Journal of Petroleum Science and Engineering. 135: pp. 232-239.
    Source Title
    Journal of Petroleum Science and Engineering
    DOI
    10.1016/j.petrol.2015.09.003
    ISSN
    0920-4105
    School
    Department of Construction Management
    URI
    http://hdl.handle.net/20.500.11937/26440
    Collection
    • Curtin Research Publications
    Abstract

    © 2015 Elsevier B.V. Archie parameters play a critical role in accurately identifying water saturation for a given reservoir condition. Due to interdependence of these parameters, it is difficult to estimate them accurately. In order to achieve more accurate parameters, we model a non-convex optimization problem based on the core Archie parameters' estimate (CAPE). Then we present a new hybrid global optimization method to solve this non-convex problem. The hybrid technique has the features of both fast local convergence in interior point method and global convergence in Firefly algorithm (FA). Finally, our method was implemented to determine Archie parameters and some comparisons are done among two deterministic techniques and four population-based algorithms. Water saturation profiles were generated using the different Archie parameters determined by six techniques. These profiles have shown a significant difference in water saturation values between CAPE methods and population-based methods. These results highlight that our proposed algorithm performed better than conventional CAPE and three dimension (3D) method for reservoirs to calculate the water saturation values due to more accurate Archie parameters achieved by our method.

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