Modeling the Saturation Pressure of Systems Containing Crude Oils and CO<sub>2</sub> Using the SRK Equation of State

Pereira, Verônica J.; Regueira, Victor Bouzas; Costa, Glória Meyberg Nunes; Melo, S.A.B. Vieira de

doi:10.1021/acs.jced.8b01077

Cited by 4 publications

(4 citation statements)

References 48 publications

(71 reference statements)

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“…For different goals and data sets, the significance of every indicator-such as MAE, MSE, and RMSE-is not the same [51]. According to the similar literature published [30,52], in our work, the MAPE is employed as the main criterion to evaluate the accuracy of different prediction methods.…”

Section: Technical Indicators Valuementioning

confidence: 98%

“…Based on the SRK equation, Hussain [15] established a HYSYS model to perform a feasibility analysis of recovering carbon dioxide from flue gas. The SRK equation was also used to calculate the saturation pressure of the crude oil and its mixtures with pure and impure CO 2 by Pereira et al [30]. Modekurti et al [24] conducted a dynamic modeling of a multistage CO 2 compression system, in which the LKP method was used in the property prediction for the compression section.…”

Section: Gasmentioning

confidence: 99%

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Evaluation of Prediction Models for the Physical Properties in Fire-Flooding Exhaust Reinjection Process

et al. 2022

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The reinjection of the fire-flooding exhaust is a novel disposal process for handling the exhaust produced by the in-situ combustion technology. For reasonable process design and safe operation, it is of great significance to select an optimum property calculation method for the fire-flooding exhaust. However, due to the compositional particularity and the wide range of operating parameters during reinjection, the state equations in predicting the exhaust properties over the wide range of operating parameters have not been studied clearly yet. Hence, this paper investigates the applicability of several commonly-used equations of state, including the Soave–Redlich–Kwong equation, Peng–Robinson equation, Lee–Kesler–Plocker equation, Benedict–Webb–Rubin–Starling equation, and GERG-2008 equations. Employing Aspen Plus software, the gas densities, compressibility factors, volumetric coefficients, and dew points for five exhaust compositions are calculated. In comparison with the experimental data comprehensively, the result indicates that the Soave–Redlich–Kwong equation shows the highest precision over a wide range of temperature and pressure. The mean absolute percentage error for the above four parameters is 3.84%, 5.17%, 5.53%, and 4.33%, respectively. This study provides a reference for the accurate calculation of the physical properties of fire-flooding exhausts when designing and managing a reinjection system of fire-flooding exhaust.

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Section: Technical Indicators Valuementioning

confidence: 98%

Section: Gasmentioning

confidence: 99%

Evaluation of Prediction Models for the Physical Properties in Fire-Flooding Exhaust Reinjection Process

et al. 2022

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“…Since this block is a reservoir with the presence of gas cap, during the production process, when the pressure drops below the saturation pressure, the dissolved gas is released, resulting in the cumulative production of gas G p , which includes both gas-cap gas and dissolved gas. In solving the recovery of split-phase, using the phase-balance theory, material-balance theory, and the principle of equivalence of fugacity [33,[35][36][37][38][39], based on the relationship between the dissolved gas-oil ratio and the average formation pressure, the daily gas production is categorized, and the daily oil-rim oil production, daily dissolved gas production, and daily gas-cap gas production are calculated, and the cumulative production of each split-phase is obtained by superposition, of which the phase recovery is calculated.…”

Section: Average Formation Pressurementioning

confidence: 99%

Calculation Method of the Phase Recovery of Gas Cap Reservoir with Bottom Water

Li,

Zhang,

Zhang

et al. 2024

Processes

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In gas cap reservoirs underlain by bottom water, the connection between the reservoir and the aquifer leads to an increasing invasion of bottom water as reservoir development progresses. The average formation pressure of the reservoir will change, and the separated phase recovery of the gas cap reservoir with bottom water will be affected by the change in the average formation pressure. The traditional average formation pressure calculation formulas do not consider the water influx, so the accurate calculation of separated recovery cannot be obtained by those calculation methods. The development of gas cap reservoirs with bottom water presents several challenges, including the simultaneous production of oil and gas, undetermined rates of bottom water influx, and uncertain formation pressure and gas-to-oil ratios. These factors contribute to substantial discrepancies between theoretical calculations and actual observations. A more accurate and comprehensive approach is required to address these issues and enable a precise determination of the phase separated recovery in gas cap reservoirs with bottom water. The volume-deficit method is integrated with the Fetkovich quasi-steady state method for water influx. The water-influx prediction is incorporated into the material balance equation, which is further refined by introducing the Fetkovich model to enhance the estimation of the average formation pressure. The average formation pressure, once determined, is utilized in conjunction with the established relationships among this pressure, surface oil production, gas production, and the dissolved gas–oil ratio. Through the application of mass conservation principles, the varying degree of phase recovery, as influenced by fluctuations in the average formation pressure, is calculated. The precision of this refined method has been validated by a comparison with outcomes generated by simulation software. The results reveal a commendable accuracy: an error in the average formation pressure calculation is found to be merely 2.61%, while the errors in recovery degrees for gas cap gas, dissolved gas, and oil-rim oil are recorded at 2.73%, 2.94%, and 1.28%, respectively. These minor discrepancies indicate a good level of consistency and affirm the reliability of this advanced methodology, as demonstrated by passive assessments. This paper provides a method to accurately calculate the phase recovery without some oil- and gas-production data, which provides accurate data support for the actual production evaluation and subsequent development measures.

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“…To still describe these mixtures, pseudocomponents have been used. [7][8][9][10][11][12] There are two general ways of doing this: either a discrete set of pseudo-components is chosen, or a continuous distribution of the pseudo-components is assumed. The latter approach belongs to the field of ''continuous thermodynamics''.…”

Section: Introductionmentioning

confidence: 99%

Rational method for defining and quantifying pseudo-components based on NMR spectroscopy

Specht

Münnemann

Hasse

et al. 2023

Phys. Chem. Chem. Phys.

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Modeling the Saturation Pressure of Systems Containing Crude Oils and CO₂ Using the SRK Equation of State

Cited by 4 publications

References 48 publications

Evaluation of Prediction Models for the Physical Properties in Fire-Flooding Exhaust Reinjection Process

Evaluation of Prediction Models for the Physical Properties in Fire-Flooding Exhaust Reinjection Process

Calculation Method of the Phase Recovery of Gas Cap Reservoir with Bottom Water

Rational method for defining and quantifying pseudo-components based on NMR spectroscopy

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Modeling the Saturation Pressure of Systems Containing Crude Oils and CO2 Using the SRK Equation of State

Cited by 4 publications

References 48 publications

Evaluation of Prediction Models for the Physical Properties in Fire-Flooding Exhaust Reinjection Process

Evaluation of Prediction Models for the Physical Properties in Fire-Flooding Exhaust Reinjection Process

Calculation Method of the Phase Recovery of Gas Cap Reservoir with Bottom Water

Rational method for defining and quantifying pseudo-components based on NMR spectroscopy

Contact Info

Product

Resources

About

Modeling the Saturation Pressure of Systems Containing Crude Oils and CO₂ Using the SRK Equation of State