PREDICTION OF THE ONSET PRESSURE OF ASPHALTENE PRECIPITATION DURING PRESSURE REDUCTION PROCESS IN THE PRESENCE OF CARBON DIOXIDE BY USING THEORIES OF ARTIFICIAL INTELLIGENCE

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KHAMEHCHI E.; BEHVANDI REZA; YASREBI SEYED VAHID

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Journal: PETROLEUM RESEARCH Year:2012 | Volume:22 | Issue:71 Page(s): 81-91

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Title

PREDICTION OF THE ONSET PRESSURE OF ASPHALTENE PRECIPITATION DURING PRESSURE REDUCTION PROCESS IN THE PRESENCE OF CARBON DIOXIDE BY USING THEORIES OF ARTIFICIAL INTELLIGENCE

Author(s)

KHAMEHCHI E. | BEHVANDI REZA | YASREBI SEYED VAHID | Issue Writer Certificate

Keywords

ONSET PRESSURE OF ASPHALTENE PRECIPITATIONQ2

CO2 INJECTIONQ2

BACK PROPAGATION ALGORITHMQ2

SWARM OPTIMIZING ALGORITHMQ2

Abstract

Although CO2 injection is one of the most common methods in enhanced oil recovery, it could alter the fluid properties of oil and cause some problems such as asphaltene precipitation, reduced permeability of formation, production reduction, etc. Asphaltene onset pressure is especially important for the optimization of the miscible CO2 injection. The purpose of this research is to predict the ONSET PRESSURE OF ASPHALTENE PRECIPITATION during pressure reduction process in the presence of carbon dioxide by using theories of artificial intelligence. The developed models include a software simulator called “Intelligent Proxy Simulator (IPS)” which is based on structure artificial neural networks. To evaluate the prediction of artificial intelligence networks at the ONSET PRESSURE OF ASPHALTENE PRECIPITATION, a thermodynamic solid model using Winprop (CMG) software was employed. The results obtained by using artificial intelligence models in the prediction of the ONSET PRESSURE OF ASPHALTENE PRECIPITATION during pressure reduction process in the presence of carbon dioxide are more accurate than that of the thermodynamic solid model.

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APA: Copy

KHAMEHCHI, E., BEHVANDI, REZA, & YASREBI, SEYED VAHID. (2012). PREDICTION OF THE ONSET PRESSURE OF ASPHALTENE PRECIPITATION DURING PRESSURE REDUCTION PROCESS IN THE PRESENCE OF CARBON DIOXIDE BY USING THEORIES OF ARTIFICIAL INTELLIGENCE. PETROLEUM RESEARCH, 22(71), 81-91. SID. https://sid.ir/paper/115180/en

Vancouver: Copy

KHAMEHCHI E., BEHVANDI REZA, YASREBI SEYED VAHID. PREDICTION OF THE ONSET PRESSURE OF ASPHALTENE PRECIPITATION DURING PRESSURE REDUCTION PROCESS IN THE PRESENCE OF CARBON DIOXIDE BY USING THEORIES OF ARTIFICIAL INTELLIGENCE. PETROLEUM RESEARCH[Internet]. 2012;22(71):81-91. Available from: https://sid.ir/paper/115180/en

IEEE: Copy

E. KHAMEHCHI, REZA BEHVANDI, and SEYED VAHID YASREBI, “PREDICTION OF THE ONSET PRESSURE OF ASPHALTENE PRECIPITATION DURING PRESSURE REDUCTION PROCESS IN THE PRESENCE OF CARBON DIOXIDE BY USING THEORIES OF ARTIFICIAL INTELLIGENCE,” PETROLEUM RESEARCH, vol. 22, no. 71, pp. 81–91, 2012, [Online]. Available: https://sid.ir/paper/115180/en

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