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Information Journal Paper

Title

SIMULATION OF GEOCHEMICAL LOG USING CACS ALGORITHM BASED ON CLUSTERING ANALYSIS

Pages

  156-168

Keywords

CONTINUOUS ANT COLONY SYSTEM (CACS)Q2

Abstract

 One of the important geochemical parameters used to evaluate the hydrocarbon potential of source rock is TOTAL ORGANIC CARBON (TOC). TOC measurement is time-consuming and rather expensive and considerable number of drill hole samples including core or cuttings have to be analyzed. In this study, TOC values were estimated initially using PETROPHYSICAL LOGS generally available from drilled wells. For this purpose, an ant colony system was used based on hierarchical clustering analysis. The first stage was comprised of hierarchical clustering and the second stage included ant colony system, which was designed continuously with a normal probability distribution function. Continuous ant colony system (CACS) calculated weight coefficients of nonlinear proposed function for the petrophysical data of each cluster. The results show that this algorithm has a successful performance in combination with clustering for the estimation of TOC log. Using these coefficients and petrophysical data, TOC log can be generated for other wells in this field. This study is based on the data collected from three wells of the AHWAZ OILFIELDs and can be generalized to other developmental wells.

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    Cite

    APA: Copy

    HOSSEINI, ZIBA, KADKHODAIE, ALI, & ASGHARI MOGHADDAM, ASGHAR. (2015). SIMULATION OF GEOCHEMICAL LOG USING CACS ALGORITHM BASED ON CLUSTERING ANALYSIS. PETROLEUM RESEARCH, 25(82), 156-168. SID. https://sid.ir/paper/115045/en

    Vancouver: Copy

    HOSSEINI ZIBA, KADKHODAIE ALI, ASGHARI MOGHADDAM ASGHAR. SIMULATION OF GEOCHEMICAL LOG USING CACS ALGORITHM BASED ON CLUSTERING ANALYSIS. PETROLEUM RESEARCH[Internet]. 2015;25(82):156-168. Available from: https://sid.ir/paper/115045/en

    IEEE: Copy

    ZIBA HOSSEINI, ALI KADKHODAIE, and ASGHAR ASGHARI MOGHADDAM, “SIMULATION OF GEOCHEMICAL LOG USING CACS ALGORITHM BASED ON CLUSTERING ANALYSIS,” PETROLEUM RESEARCH, vol. 25, no. 82, pp. 156–168, 2015, [Online]. Available: https://sid.ir/paper/115045/en

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