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مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

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Title

HYBRID ARTIFICIAL BEE COLONY ALGORITHM AND IMAGE PROCESSING-BASED APPROACH FOR FRACTURE IDENTIFICATION IN IMAGE LOGS

Pages

  141-150

Abstract

 In the HYDROCARBON RESERVOIRS of the Zagros Basin, FRACTUREs play a major role in hydrocarbon migration and production. Borehole image log is a powerful tool to study and identify FRACTUREs around the wells. These logs provide critical information about orientation, depth and type of natural FRACTUREs. Since there is no accurate algorithm for automatic identification of FRACTURE parameters on image logs of the carbonate reservoirs in Iran, interpretation of these logs is often done manually. This process may become erroneous if the interpreter is not sufficiently experienced. Aimed at automatic detecting of FRACTUREs in image logs, this paper presents a new implemented method, which is based upon IMAGE PROCESSING and optimization techniques, as well as ARTIFICIAL BEE COLONY ALGORITHM. According to this approach, points related to FRACTUREs are first extracted from images using classification methods. Then, the ARTIFICIAL BEE COLONY ALGORITHM is used to determine the number, depth, dip and dip direction of FRACTUREs on extracted points. The proposed method is performed on FMS image log of one well located in an oilfield in southern Iran. Results are shown in density log, rose diagram and stereogram for the identified FRACTUREs, and the obtained results show efficiency of the proposed method.

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    APA: Copy

    JAVID, M., MEMARIAN, H., MAZHARI, S.M., ZOROFI, R.A., TOKHMECHI, B., & KHOSHBAKHT, F.. (2015). HYBRID ARTIFICIAL BEE COLONY ALGORITHM AND IMAGE PROCESSING-BASED APPROACH FOR FRACTURE IDENTIFICATION IN IMAGE LOGS. GEOSCIENCES, 24(96), 141-150. SID. https://sid.ir/paper/32485/en

    Vancouver: Copy

    JAVID M., MEMARIAN H., MAZHARI S.M., ZOROFI R.A., TOKHMECHI B., KHOSHBAKHT F.. HYBRID ARTIFICIAL BEE COLONY ALGORITHM AND IMAGE PROCESSING-BASED APPROACH FOR FRACTURE IDENTIFICATION IN IMAGE LOGS. GEOSCIENCES[Internet]. 2015;24(96):141-150. Available from: https://sid.ir/paper/32485/en

    IEEE: Copy

    M. JAVID, H. MEMARIAN, S.M. MAZHARI, R.A. ZOROFI, B. TOKHMECHI, and F. KHOSHBAKHT, “HYBRID ARTIFICIAL BEE COLONY ALGORITHM AND IMAGE PROCESSING-BASED APPROACH FOR FRACTURE IDENTIFICATION IN IMAGE LOGS,” GEOSCIENCES, vol. 24, no. 96, pp. 141–150, 2015, [Online]. Available: https://sid.ir/paper/32485/en

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