A crude oil data bank containing more than 5000 PVT and gas injection data

Jaubert, Jean‐Noël; Avaullée, Laurent; Souvay, Jean-François

doi:10.1016/s0920-4105(02)00153-5

Cited by 120 publications

(73 citation statements)

References 9 publications

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“…determine the minimum miscibility pressure [57][58][59][60][61][62] (MMP) when pure CO 2 is injected in a synthetic crude oil, the composition of which is: 43 mol % of n-pentane þ 57 mol % of n-hexadecane. These two temperatures are As a consequence, the PPR78 model is able to predict these MMPs with high accuracy (4% deviation at T 1 and 0.7% deviation at T 2 ).…”

Section: Predicting Gas Injection Experimentsmentioning

confidence: 99%

Predicting the phase equilibria of synthetic petroleum fluids with the PPR78 approach

2010

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The PPR78 approach is a group contribution-based thermodynamic model which combines at constant packing fraction the Peng-Robinson equation of state and a Van Laar-type g E model. This article demonstrates that, using classical mixing rules (linear on b and quadratic on a), the PPR78 model may also be seen as a group contribution method for the estimation of the temperature-dependent k ij of the widely used PR EoS. Our model is endowed of 15 groups and it is possible to predict the k ij for any mixture containing alkanes, aromatics, naphthenes, CO 2 , N 2 , H 2 S, and mercaptans. This study exhibits the capability of this approach to predict the phase behavior of synthetic petroleum fluids containing components of different volatilities. The many comparisons between calculated and experimental data on natural gases, crude oils, and gas condensates allow concluding that the PPR78 approach is a successful model for phase equilibria calculations of this kind of mixtures. V V C 2010 American Institute of Chemical Engineers AIChE J, 56: [3225][3226][3227][3228][3229][3230][3231][3232][3233][3234][3235] 2010

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Section: Predicting Gas Injection Experimentsmentioning

confidence: 99%

Predicting the phase equilibria of synthetic petroleum fluids with the PPR78 approach

2010

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“…Phase behavior data are key inputs to reservoir simulations that are used for evaluating reservoir development plans, interpreting well test data, and designing surface facilities and processing plants [1]. Knowledge of the phase behavior of mixtures containing both CO 2 and hydrocarbons plays a major role in carbon capture and storage (CCS) and enhanced oil recovery (EOR) processes [2][3][4][5][6]. For example, the phase behavior of such systems is fundamental in the design of CO2-EOR projects in which the minimum miscibility pressure (MMP) for the CO2-crude oil system at the actual reservoir temperature is required in order to determine whether or not the CO2-flooding process will be immiscible or miscible at the actual reservoir pressure.…”

Section: Introductionmentioning

confidence: 99%

Experimental and modeling study of the phase behavior of synthetic crude oil+CO2

Ghafri

Maitland

Trusler

2014

Fluid Phase Equilibria

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A full understanding of the phase behavior of CO2-hydrocarbon mixtures at reservoir conditions is essential for the proper design, construction and operation of carbon capture and storage (CCS) and enhanced oil recovery (EOR) processes. While equilibrium data for binary CO2-hydrocarbon mixtures are plentiful, equilibrium data and validated equations of state having reasonable predictive capability for multi-component CO2-hydrocarbon mixtures are limited. In this work, a new synthetic apparatus was constructed to measure the phase behavior of systems containing CO2 and multicomponent hydrocarbons at reservoir temperatures and pressures. The apparatus consisted of a thermostated variable-volume view cell driven by a computer-controlled servo motor system, and equipped with a sapphire window for visual observation. Two calibrated syringe pumps were used for quantitative fluid injection. The maximum operating pressure and temperature were 40 MPa and 473.15 K, respectively. The apparatus was validated by means of isothermal vapor-liquid equilibrium measurement on (CO2 + heptane), the results of which were found to be in good agreement with literature data.In this work, we report experimental measurements of the phase behaviour and density of (CO2 + synthetic crude oil) mixtures. The 'dead' oil contained a total of 17 components including alkanes, branched-alkanes, cyclo-alkanes, and aromatics. Solution gas (0.81 methane + 0.13 ethane + 0.06 propane) was added to obtain live synthetic crudes with gas-oil ratios of either 58 or 160. Phase equilibrium and density measurements are reported for the 'dead' oil and the two 'live' oils under the addition of CO2. The measurements were carried out at temperatures of (298.15, 323.15, 373.15 and 423.15) K and at pressures up to 36 MPa, and included vapor-liquid, liquid-liquid and vapor-liquid-liquid equilibrium conditions.The results are qualitatively similar to published data for mixtures of CO2 with both real crude oils or and simple hydrocarbon mixtures containing both light and heavy components. The present experimental data have been compared with results calculated with two predictive 2 models, PPR78 and PR2SRK, based on the Peng-Robinson 78 (PR78) and Soave-RedlichKwong (SRK) equations of state with group-contribution formulae for the binary interaction parameters. Careful attention was paid to the critical constants and acentric factor of high molar-mass components. Since the mixture also contained several light substances with critical temperatures below some or all experimental temperatures, we investigated the use of the Boston-Mathias modification of the PR78 and SRK equations. The results showed that these models can predict with reasonable accuracy the vapor-liquid equilibria of systems containing CO2 and complex hydrocarbon mixtures without the need to regress multiple binary parameters against experimental data.

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“…In this work, 150 experimental data regarding pure and impure CO 2 -oil MMP (and for which the molecular weight of the C 5+ fraction was experimentally available) were collected from the open literature [14,22,26,[70][71][72][73][74][75][76][77][78][79][80][81][82][83]. Among these 150 data, 45 and 105 refer to pure and impure CO 2 respectively.…”

Section: Discussionmentioning

confidence: 99%

Integrating support vector regression with genetic algorithm for CO2-oil minimum miscibility pressure (MMP) in pure and impure CO2 streams

Bian

Han

et al. 2016

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A crude oil data bank containing more than 5000 PVT and gas injection data

Cited by 120 publications

References 9 publications

Predicting the phase equilibria of synthetic petroleum fluids with the PPR78 approach

Predicting the phase equilibria of synthetic petroleum fluids with the PPR78 approach

Experimental and modeling study of the phase behavior of synthetic crude oil+CO2

Integrating support vector regression with genetic algorithm for CO2-oil minimum miscibility pressure (MMP) in pure and impure CO2 streams

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