The Prediction of Minimum Miscible Pressure for CO2 EOR using a Process Simulator (original) (raw)
Related papers
2014
Carbon dioxide flooding is considered to be one of the most effective enhanced oil recovery methods for the light oil reservoirs. Depending on the operating pressure, the process might be miscible or immiscible. Minimum miscibility pressure (MMP) is the most important parameter for assessing the applicability of any miscible gas flood for an oil reservoir. The miscibility condition is determined by conducting displacement tests at various pressures and the recovery is expected to improve as the displacement pressure increases, and then stays almost constant above the MMP. In this study, the MMP of pure carbon dioxide and an Iranian oil reservoir is estimated using slimtube test. The experiment is performed under constant CO 2 injection rate and different displacement pressures above the bubble point pressure; input and output pressures are continually monitored during the test; the effluent liquid is flashed to atmospheric conditions and produced gases are passed through gas chromat...
Evaluation of miscible and immiscible CO2 injection in one of the Iranian oil fields
Egyptian Journal of Petroleum, 2014
Carbon dioxide (CO 2) flooding is one of the most important methods for enhanced oil recovery (EOR) because it not only increases oil recovery efficiency but also causes a reduction of greenhouse gas emissions. It is a very complex system, involving phase behavior that could increase the recovery of oil by means of swelling, evaporation and decreasing viscosity of the oil. In this study, a reservoir modeling approach was used to evaluate immiscible and miscible CO 2 flooding in a fractured oil field. To reduce simulation time, we grouped fluid components into 10 pseudo-components. The 3-parameter, Peng-Robinson Equation of State (EOS) was used to match PVT experimental data by using the PVTi software. A one-dimensional slim-tube model was defined using ECLIPSE 300 software to determine the minimum miscibility pressure (MMP) for injection of CO 2. We used FloGrid software for making a reservoir static model and the reservoir model was calibrated using manual and assisted history matching methods. Then various scenarios of natural depletion, immiscible and miscible CO 2 injection have been simulated by ECLIPSE 300 software and then the simulation results of scenarios have been compared. Investigation of simulation results shows that the oil recovery factor in miscible CO 2 injection scenario is more than other methods.
Energy Procedia, 2013
CO 2-oil minimum miscibility pressure (MMP) is a key parameter in CO 2 enhanced oil recovery (CO 2-EOR) process. This work developed a fast and vigorous mathematical method using artificial neural network (ANN) model based on genetic algorithm to predict the CO 2-oil MMP which was affected by several factors (i.e. reservoir temperature, the composition of reservoir oil, and the composition of injected gas). The study evaluated the performance of the newly developed ANN-based model by the errors between the predicted values and the target values. It was found that the developed ANN model provided a reliable theoretical basis for CO 2 flooding, as well as offered a guidance to the successful implementation of CO 2-EOR process.
Iranian Journal of Chemistry & Chemical Engineering-international English Edition, 2012
For technical and economic success of miscible gas injection projects, an accurate laboratory measurement of Minimum Miscibility Pressure (MMP) at reservoir conditions is essential. On the other hand, compositional reservoir simulator is a useful tool in gas injection studies and prediction of MMP. The main goal of this paper is to describe a procedure to generate a three phase sequential type of compositional reservoir simulator. The solution method is completely addressed. A compositional thermodynamic program for equilibrium calculation, and pseudo-component determination was developed. Another purpose of this study is to prepare an experimental setup for investigating the effect of CO 2 concentration in injecting gas on oil recovery and MMP. Some displacement tests using slim tube apparatus were performed and recoveries and MMPs were measured. Finally, experimental results were compared with the model predictions. A good agreement was achieved between the experimental data and model predictions.
Influencing The CO2-Oil Interaction For Improved Miscibility And Enhanced Recovery In CCUS Projects
Fifth CO2 Geological Storage Workshop, 2018
In this work the physics of a fluid CO2-crude oil mixture are explained and correlated to the evaluation of the best performance of a CO2 EOR project. The impact of different factors on the miscibility of the two fluids is described. Based on this knowledge some methods for the determination of the minimum miscibility pressure (MMP) are introduced and their pros and cons are discussed. Additionally, the concept of using miscibility enhancing additives to improve the oil recovery for successful CCUS projects is introduced. At the end a good understanding of the complex CO2-oil mixture and its influencing parameters is developed. The reasons for good or poor miscibility are understood. An approach to make reservoirs applicable for CO2 EOR which were naturally not is shown by the application of the miscibility enhancing additives in order to improve the economics and to provide a proper justification for CCUS.
Carbon Dioxide Minimum Miscibility Pressure Estimation (Case Study)
Journal of Petroleum Science and Technology, 2014
Carbon dioxide flooding is considered to be one of the most effective enhanced oil recovery methods for the light oil reservoirs. Depending on the operating pressure, the process might be miscible or immiscible. Minimum miscibility pressure (MMP) is the most important parameter for assessing the applicability of any miscible gas flood for an oil reservoir. The miscibility condition is determined by conducting displacement tests at various pressures and the recovery is expected to improve as the displacement pressure increases, and then stays almost constant above the MMP. In this study, the MMP of pure carbon dioxide and an Iranian oil reservoir is estimated using slimtube test. The experiment is performed under constant CO 2 injection rate and different displacement pressures above the bubble point pressure; input and output pressures are continually monitored during the test; the effluent liquid is flashed to atmospheric conditions and produced gases are passed through gas chromatography for compositional analysis. Volumetric oil recovery is measured, and oil recovery is plotted against the injection pressure at a 1.2 pore volume of the injected fluid. The results show that the oil recovery is more than 90% of original oil in place for all the pressures with a constant slope above the bubble point pressure. Therefore, MMP is considered to be equal to the bubble point pressure. In addition to the plot of oil recovery versus pressure, miscibility is also confirmed by the effluent gas composition, slim-tube pressure drop, and visual observations of phase behavior. The single phase high pressure fluid at the outlet of slim-tube, the small pressure drop across it, and no methane bank in the composition of effluent gas indicate that the miscibility is completely achieved. The experimental results are validated by modeling the test using a fully compositional simulator. The effect of varying CO 2 mole fraction in the injected fluid is also investigated. The results show that an increase in CO 2 mole fraction of the injected gas significantly decreases MMP.
Petroleum Science
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
Journal of Petroleum Exploration and Production Technology, 2020
CO2 gas injection is one of the recommended enhanced oil recovery (EOR) methods by injecting CO2 through reservoir pores after the residual saturation is reached, since CO2 dissolves easily in oil phase as confirmed by many other researchers in pertaining field studies. An integrated system is urgently required for assessing CO2-EOR study, covering multi-disciplinary aspects as follows: geology, geophysics, reservoir, production, process and economic. Hence, those systems must be reliable in suggesting final decision for feasibility of CO2-EOR operation program, applicable either for pilot scale or for full scale. This paper is proposing an integrated system evaluation, which has the following features: (1) estimate fraction of dissolved CO2, (2) estimate viscosity reduction, (3) estimate future oil productivity index resulted, (4) forecast incremental oil production, (5) estimate surface facilities equipment design, (6) evaluate economical aspects and (7) generate final decision fo...