Application of support vector regression to estimate the formation water saturation in one of the largest oil fields located in the southwest of Iran

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AHMADI REZA; Amiri Bakhtiar Mohammad Sadegh

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Journal: JOURNAL OF RESEARCH ON APPLIED GEOPHYSICS Year:2019 | Volume:4 | Issue:2 Page(s): 199-210

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Title

Application of support vector regression to estimate the formation water saturation in one of the largest oil fields located in the southwest of Iran

Author(s)

AHMADI REZA | Amiri Bakhtiar Mohammad Sadegh | Issue Writer Certificate

Keywords

Water Saturation (Sw)

Support Vector Regression (SVR)

Asmari Formation

Well Logs Data

Abstract

Water saturation (Sw) of a hydrocarbon reservoir is an important petrophysical parameter having a great impact on the accuracy of primitive estimation of the reservoir. Due to highly importance of this parameter dealing with the economic calculations of the reservoir, it must be estimated precisely. Although experimental analysis of core samples taken from a reservoir leads to very useful information about Sw of the reservoir, this experimental method is highly expensive and time consuming; and therefore, this method is applicable only for a small number of wells in a field. To overcome this problem, an intelligent pattern recognition method, known as support vector regression (SVR), has been employed in the current research to estimate Sw from Well Logs Data of 3 wells in one of the largest oil fields of Iran. The performance of the algorithm has also been validated through different criteria. The results of this research indicate that the SVR model can estimate Sw from Well Logs Data accurately, in which the determination coefficients of 87 and 76 percent have been obtained from the training and test steps, respectively.

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APA: Copy

AHMADI, REZA, & Amiri Bakhtiar, Mohammad Sadegh. (2019). Application of support vector regression to estimate the formation water saturation in one of the largest oil fields located in the southwest of Iran. JOURNAL OF RESEARCH ON APPLIED GEOPHYSICS, 4(2 ), 199-210. SID. https://sid.ir/paper/268576/en

Vancouver: Copy

AHMADI REZA, Amiri Bakhtiar Mohammad Sadegh. Application of support vector regression to estimate the formation water saturation in one of the largest oil fields located in the southwest of Iran. JOURNAL OF RESEARCH ON APPLIED GEOPHYSICS[Internet]. 2019;4(2 ):199-210. Available from: https://sid.ir/paper/268576/en

IEEE: Copy

REZA AHMADI, and Mohammad Sadegh Amiri Bakhtiar, “Application of support vector regression to estimate the formation water saturation in one of the largest oil fields located in the southwest of Iran,” JOURNAL OF RESEARCH ON APPLIED GEOPHYSICS, vol. 4, no. 2 , pp. 199–210, 2019, [Online]. Available: https://sid.ir/paper/268576/en

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