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Information Journal Paper

Title

Estimation of effective porosity in the space between wells using classification of seismic attributes by Adaboost algorithm

Pages

  27-42

Abstract

 Summary: In this paper, by combination of seismic data and well log data, the Effective Porosity in the space between wells is estimated. One of the important petroleum reservoir features is Effective Porosity that engineers are always looking to find an appropriate model for distribution of this parameter in the reservoir. The Petrophysical Properties of petroleum reservoirs are very complex. In the last few decades, the Effective Porosity estimation procedures have become one of the hot topics in the industry to evaluate these procedures or methods. In the current research, by integration of petrophysical, seismic data and Seismic Attributes classification using Adaboost Algorithm, it is tried to estimate the Effective Porosity in a twodimensional seismic cross section of the block F3 Dutch sector of the North Sea. ...

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  • Cite

    APA: Copy

    Saeedi, Kazem, ROSHANDEL KAHOO, AMIN, Ghavami Riabi, Seyed Reza, TOKHMECHI, BEHZAD, & Ebrahimi, Pedram. (2018). Estimation of effective porosity in the space between wells using classification of seismic attributes by Adaboost algorithm. JOURNAL OF RESEARCH ON APPLIED GEOPHYSICS, 4(1 ), 27-42. SID. https://sid.ir/paper/268562/en

    Vancouver: Copy

    Saeedi Kazem, ROSHANDEL KAHOO AMIN, Ghavami Riabi Seyed Reza, TOKHMECHI BEHZAD, Ebrahimi Pedram. Estimation of effective porosity in the space between wells using classification of seismic attributes by Adaboost algorithm. JOURNAL OF RESEARCH ON APPLIED GEOPHYSICS[Internet]. 2018;4(1 ):27-42. Available from: https://sid.ir/paper/268562/en

    IEEE: Copy

    Kazem Saeedi, AMIN ROSHANDEL KAHOO, Seyed Reza Ghavami Riabi, BEHZAD TOKHMECHI, and Pedram Ebrahimi, “Estimation of effective porosity in the space between wells using classification of seismic attributes by Adaboost algorithm,” JOURNAL OF RESEARCH ON APPLIED GEOPHYSICS, vol. 4, no. 1 , pp. 27–42, 2018, [Online]. Available: https://sid.ir/paper/268562/en

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