Improvement of accuracy for estimating reservoir properties by Markov-Bayes method using two soft data

Lingdan Xia, Masanori Kurihara

    Research output: Contribution to conferencePaper

    Abstract

    Geostatistics has been playing an important role in reservoir characterization and modeling. The principal objective of reservoir characterization is to provide a reservoir model for accurate reservoir performance prediction. To attain this objective, the integration of information from various data sources is an essential task in reservoir characterization. In this study, the geostatistical program that includes the sub-programs for kriging and conditional simulation was coded. Especially, the sub-program for Markov-Bayes simulation that enables the estimation of reservoir property distribution using two soft data was developed. This process is not available in conventional geostatistical software. This paper presents the results of reservoir property distributions estimated by various geostatistical methods and discusses the comparison among them. Through this comparison, the advantage of Markov-Bayes method using two soft data for the improvement of the accuracy for estimating reservoir properties is demonstrated.

    Original languageEnglish
    Publication statusPublished - 2014 Jan 1
    Event20th Formation Evaluation Symposium of Japan 2014 - Chiba, Japan
    Duration: 2014 Oct 12014 Oct 2

    Other

    Other20th Formation Evaluation Symposium of Japan 2014
    CountryJapan
    CityChiba
    Period14/10/114/10/2

    Fingerprint

    reservoir characterization
    geostatistics
    kriging
    simulation
    method
    software
    prediction
    modeling
    programme
    distribution
    comparison

    ASJC Scopus subject areas

    • Geology
    • Energy Engineering and Power Technology
    • Economic Geology
    • Geochemistry and Petrology
    • Geotechnical Engineering and Engineering Geology

    Cite this

    Xia, L., & Kurihara, M. (2014). Improvement of accuracy for estimating reservoir properties by Markov-Bayes method using two soft data. Paper presented at 20th Formation Evaluation Symposium of Japan 2014, Chiba, Japan.

    Improvement of accuracy for estimating reservoir properties by Markov-Bayes method using two soft data. / Xia, Lingdan; Kurihara, Masanori.

    2014. Paper presented at 20th Formation Evaluation Symposium of Japan 2014, Chiba, Japan.

    Research output: Contribution to conferencePaper

    Xia, L & Kurihara, M 2014, 'Improvement of accuracy for estimating reservoir properties by Markov-Bayes method using two soft data' Paper presented at 20th Formation Evaluation Symposium of Japan 2014, Chiba, Japan, 14/10/1 - 14/10/2, .
    Xia L, Kurihara M. Improvement of accuracy for estimating reservoir properties by Markov-Bayes method using two soft data. 2014. Paper presented at 20th Formation Evaluation Symposium of Japan 2014, Chiba, Japan.
    Xia, Lingdan ; Kurihara, Masanori. / Improvement of accuracy for estimating reservoir properties by Markov-Bayes method using two soft data. Paper presented at 20th Formation Evaluation Symposium of Japan 2014, Chiba, Japan.
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