Prediction of sour gas compressibility factor using an intelligent approach

“…The required data (Satter and Thakur, 1994) to develop this model includes the variation of heavy oil production rate as a function of oil water viscosity ratio and water injection rate for water-flooding. It should be noted that the key step in proposing reliable predictive models is the selection of an efficient and representative dataset (Eriksson et al, 2000;Kamari et al, 2013a;Kamari et al, 2013b;Kamari et al, 2014b). Ranges of the aforementioned parameters as well as the reported values of oil production rate are shown in Table 1.…”

Section: Data Basementioning

confidence: 99%

“…This method uses a set of linear equations using support vectors (SVs) instead of quadratic programming problems in order to facilitate the solution of the original SVM. So far, LSSVM mathematical approach has been applied successfully for various prediction targets in petroleum engineering Farasat et al, 2013;Fazavi et al, 2013;Kamari et al, 2013a;Rafiee-Taghanaki et al, 2013;Shokrollahi et al, 2013). However, this approach has not yet been applied for prediction of oil production rate during water-flooding.…”

Section: Introductionmentioning

confidence: 99%

An Efficient Approach for the Determination of Oil Production Rate During the Water-flooding Recovery Method

Kamari

Bahadori

Mohammadi

2015

Petroleum Science and Technology

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In this work, a mathematical methodology namely, least square support vector machine (LSSVM) is implemented to predict the variation of oil production rate as a function of oil water viscosity ratio and water injection rate for water-flooding. Furthermore, the coupled simulated annealing (CSA) optimization technique is coupled with LSSVM to find the optimal architecture and parameters of the LSSVM. The obtained results demonstrate that the CSA-LSSVM estimations are in a satisfactory agreement with literature-reported data and the previously published correlation. Consequently, the R 2 and average absolute relative deviation of CSA-LSSVM model in testing phase are reported 0.979 and 8.15, respectively.

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“…To achieve a reliable predictive model, the applicability and accuracy are directly associated with the validity of the data set used for its development (Eriksson et al, 2000;Kamari et al, 2013a;Kamari et al, 2013b;Kamari et al, 2014). Therefore, a reliable dataset is collected form literature (Stewart and Arnold, 2011) including the literature reported TEG purity and concentration (mass fraction) as target parameter and reboiler pressure (kPa) and temperature ( • C) as input parameters of the developed model.…”

Section: Datasetmentioning

confidence: 99%

Determination of Triethylene Glycol Concentration in Natural Gas Dehydration Systems Using Support Vector Machine Algorithm

Kamari

Mohammadi

Bahadori

2015

Petroleum Science and Technology

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Triethylene glycol (TEG) liquid stream is used in natural gas dehydration units in order to prevent gas hydrate formation, the blockage of transportation pipelines, and liquid water condensation during transmission of natural gases in pipelines. Hence, it is needed to propose a reliable model to estimate the properties of TEG for better understanding of its performance. In this study, the robust least square modification of support vector machine (LSSVM) methodology is implemented to propose a computer program, by which the TEG concentration in natural gas dehydration unit can be determined at various reboiler pressure and temperature. In the final analysis, the Leverage approach (Williams plot) is applied to determine the applicability domain of the model and to detect any probable erroneous data points. It is found that the proposed TEG model is capable in low pressures compared to high ones. Additionally, the developed LSSVM model results indicate 0.08% average absolute relative deviation from the corresponding TEG concentration literature values, and squared correlation coefficient of 0.98.

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Prediction of sour gas compressibility factor using an intelligent approach

Cited by 87 publications

References 31 publications

On the determination of crude oil salt content: Application of robust modeling approaches

On the determination of crude oil salt content: Application of robust modeling approaches

An Efficient Approach for the Determination of Oil Production Rate During the Water-flooding Recovery Method

Determination of Triethylene Glycol Concentration in Natural Gas Dehydration Systems Using Support Vector Machine Algorithm

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