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Information Journal Paper

Title

Application of Artificial Bee Colony Algorithm for Estimation of Reservoir Rock Physics Properties

Pages

  147-157

Abstract

 Summary It is necessary to have enough data from a reservoir to predict its performance and develop it as accurate as possible. Nowadays, it is a common practice to combine direct and indirect methods to achieve the optimal process of data gathering while considering time, cost and precision. Empirical relationships and optimization algorithms are the two most used indirect methods and recently, numerous researches have focused on the latter one. One of the newest and most powerful optimization algorithms is artificial bee colony (ABC) algorithm. In this paper, we have explained its application for reservoir characterization by estimating Shear wave velocity (Vs) using some series of recorded well logs. We have carried out a study on a sandstone and a carbonate reservoir using the ABC algorithm and Greenberg-Castagna relationships. We have chosen three logs among the available ones and used a polynomial to derive their relationship with Vs. In both cases, the ABC has acted more efficiently, indicating that it can be employed to estimate Vs in reservoirs with the lithology similar to the one in our cases when we have no recorded data...

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    APA: Copy

    Khodaiy Arbat, Mohammad, & Emami Niri, Mohammad. (2019). Application of Artificial Bee Colony Algorithm for Estimation of Reservoir Rock Physics Properties. JOURNAL OF RESEARCH ON APPLIED GEOPHYSICS, 5(1 ), 147-157. SID. https://sid.ir/paper/268646/en

    Vancouver: Copy

    Khodaiy Arbat Mohammad, Emami Niri Mohammad. Application of Artificial Bee Colony Algorithm for Estimation of Reservoir Rock Physics Properties. JOURNAL OF RESEARCH ON APPLIED GEOPHYSICS[Internet]. 2019;5(1 ):147-157. Available from: https://sid.ir/paper/268646/en

    IEEE: Copy

    Mohammad Khodaiy Arbat, and Mohammad Emami Niri, “Application of Artificial Bee Colony Algorithm for Estimation of Reservoir Rock Physics Properties,” JOURNAL OF RESEARCH ON APPLIED GEOPHYSICS, vol. 5, no. 1 , pp. 147–157, 2019, [Online]. Available: https://sid.ir/paper/268646/en

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