Estimation of the CO<sub>2</sub>-oil minimum miscibility pressure for enhanced oil recovery

Choubineh, Abouzar; Mousavi, Seyede Robab; Ayouri, Masih Vafaee; Ahmadinia, Masoud; Choubineh, Dariush; Baghban, Alireza Akbarzadeh

doi:10.1080/10916466.2016.1238936

Cited by 12 publications

(8 citation statements)

References 28 publications

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“…The methods of predicting the MMP generally include laboratory experiment and theoretical calculation [50][51][52][53][54]. Laboratory experiment methods include long-slim-tube displacement experiment method, interfacial tension method, Rising Bubble Apparatus (RBA) method and vapor density method.…”

Section: The Experimental Process Of Determining the Mmpmentioning

confidence: 99%

Research for reducing the Minimum Miscible Pressure of crude oil and carbon dioxide by injecting citric acid isobutyl ester

Fan

Zhao

et al. 2021

Oil Gas Sci. Technol. – Rev. IFP Energies nouvelles

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Carbon dioxide miscible flooding has become one of the important technologies for improving oil recovery. The Minimum Miscible Pressure (MMP) is the key parameter to realize miscible flooding. As the MMP in the research area is higher than the formation fracture pressure, miscible flooding cannot be formed. To address this problem, it is necessary to find a way to reduce the MMP. Citric acid isobutyl ester is chosen to reduce the MMP of carbon dioxide and crude oil in this research. The effect of citric acid isobutyl ester on reducing the MMP was measured by the method of long-slim-tube displacement experiment. The experiment results show that the MMP is 29.6 MPa and can be obviously reduced by injecting the slug of citric acid isobutyl ester. The MMP could decrease gradually with constantly adding the injected slug of citric acid isobutyl ester, but the decrease becomes smaller and smaller. The optimum injected slug size of the chemical reagent is 0.003 PV. Under the condition of the slug size, the MMP is reduced to 23.5 MPa and the reduction is 6.1 MPa.

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Section: The Experimental Process Of Determining the Mmpmentioning

confidence: 99%

Research for reducing the Minimum Miscible Pressure of crude oil and carbon dioxide by injecting citric acid isobutyl ester

Fan

Zhao

et al. 2021

Oil Gas Sci. Technol. – Rev. IFP Energies nouvelles

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“…In miscible flooding, various gases are injected into a crude oil reservoir leading to enhanced oil production rates caused by several mechanisms such as viscosity reduction and oil expansion (Ennin and Grigg 2016;Fathinasab et al 2015;Lv et al 2016). Among various gases, CO 2 is most commonly selected because it can establish miscibility by dissolving in reservoir oil at a relatively low minimum miscible pressure (Alomair and Garrouch 2016;Choubineh et al 2016). Minimum miscibility pressure (MMP) plays an important role in the selection of which gas to use and in operational issues.…”

Section: Introductionmentioning

confidence: 99%

The impacts of gas impurities on the minimum miscibility pressure of injected CO2-rich gas–crude oil systems and enhanced oil recovery potential

2018

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An effective parameter in the miscible-CO 2 enhanced oil recovery procedure is the minimum miscibility pressure (MMP) defined as the lowest pressure that the oil in place and the injected gas into reservoir achieve miscibility at a given temperature. Flue gases released from power plants can provide an available source of CO 2, which would otherwise be emitted to the atmosphere, for injection into a reservoir. However, the costs related to gas extraction from flue gases is potentially high. Hence, greater understanding the role of impurities in miscibility characteristics between CO 2 and reservoir fluids helps to establish which impurities are tolerable and which are not. In this study, we simulate the effects of the impurities nitrogen (N 2), methane (C 1), ethane (C 2) and propane (C 3) on CO 2 MMP. The simulation results reveal that, as an impurity, nitrogen increases CO 2-oil MMP more so than methane. On the other hand, increasing the propane (C 3) content can lead to a significant decrease in CO 2 MMP, whereas varying the concentrations of ethane (C 2) does not have a significant effect on the minimum miscibility pressure of reservoir crude oil and CO 2 gas. The novel relationships established are particularly valuable in circumstances where MMP experimental data are not available. Keywords EOR exploiting impure flue gases Á CO 2-crude oil minimum miscibility pressure (MMP) Á Impact of gas impurities on MMP

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“…Os resultados da RNA treinada com a versão modificada do TLBO foram considerados melhores do que o da RNA treinada com backpropagation. Em [20],é comparado o treinamento de RNA para estimativa da pressão mínima de miscibilidade deóleo de gás carbônico para recuperação deóleo melhorado. Foram utilizados os algoritmos Cuckoo Optimization e o TLBO.…”

Section: Introductionunclassified

Teaching-Learning-Based Optimization no Treinamento de Redes Neurais Artificiais para Problemas de Classificação

Garcia¹,

Catalano²,

Soares³

et al. 2018

Proceedings XIII Brazilian Congress on Computacional Intelligence

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Resumo Redes Neurais Artificiais (RNA) são técnicas comumente utilizadas em tarefas como predição, regressão e classificação. O treinamento destas redes costuma ser feito pelo algoritmo de retropropagação do erro, ou backpropagation. Diversos trabalhos na literatura sugerem a utilização de algoritmos de otimização baseados em populações, como o algoritmo PSO (Particle Swarmn Optimization), para o treinamento de RNAs. Em 2011, o algoritmo Teaching-Learning Based Optimization (TLBO) foi proposto, baseado em interações em sala de aula. O objetivo deste trabalho foi comparar o TLBO com outros algoritmos de otimização já consolidados na tarefa de treinar RNA para classificação. TLBO obteve resultados interessantes comparado a seus concorrentes utilizando as bases Iris 1 , Wine 2 e Ovarian Cancer 3 , podendo ser uma alternativa promissora no treinamento de RNAs.

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Estimation of the CO₂-oil minimum miscibility pressure for enhanced oil recovery

Cited by 12 publications

References 28 publications

Research for reducing the Minimum Miscible Pressure of crude oil and carbon dioxide by injecting citric acid isobutyl ester

Research for reducing the Minimum Miscible Pressure of crude oil and carbon dioxide by injecting citric acid isobutyl ester

The impacts of gas impurities on the minimum miscibility pressure of injected CO2-rich gas–crude oil systems and enhanced oil recovery potential

Teaching-Learning-Based Optimization no Treinamento de Redes Neurais Artificiais para Problemas de Classificação

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Estimation of the CO2-oil minimum miscibility pressure for enhanced oil recovery

Cited by 12 publications

References 28 publications

Research for reducing the Minimum Miscible Pressure of crude oil and carbon dioxide by injecting citric acid isobutyl ester

Research for reducing the Minimum Miscible Pressure of crude oil and carbon dioxide by injecting citric acid isobutyl ester

The impacts of gas impurities on the minimum miscibility pressure of injected CO2-rich gas–crude oil systems and enhanced oil recovery potential

Teaching-Learning-Based Optimization no Treinamento de Redes Neurais Artificiais para Problemas de Classificação

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Estimation of the CO₂-oil minimum miscibility pressure for enhanced oil recovery