Empirical estimating of black oils bubblepoint (saturation) pressure

Jarrahian, Azad; Moghadasi, Jamshid; Heidaryan, Ehsan

doi:10.1016/j.petrol.2014.12.004

Cited by 20 publications

(13 citation statements)

References 68 publications

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“…Black oil [7,9] Volatile oil [1] Fluid applied in empirical correlations to obtain the relative in situ amounts of oil and gas during the production life of the reservoir.…”

Section: Propertymentioning

confidence: 99%

“…Another important factor comprising gas oil ratio (GOR), and mole % of C 7 + , where GOR is obtained from field data and the mole % of C 7 + is obtained from composition analysis. PVT properties for black oils in almost all reservoirs are required for production and surface facilities calculations to manage, develop, and forecast oil field behavior [7], as well as maximizing economic profit.…”

Section: Introductionmentioning

confidence: 99%

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PVT Properties of Black Crude Oil

El-hoshoudy¹,

Desouky²

2019

Processing of Heavy Crude Oils - Challenges and Opportunities

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Precise PVT studies and behavior of phase-equilibrium of petroleum reservoir fluids are essential for describing these fluids and appraising their volumetric behavior at several pressure stages. There are numerous laboratory studies that can be performed on a reservoir sample. The amount of data desired determines the number of tests to be performed in the laboratory. Generally, there are three laboratory tests which characterize hydrocarbon fluids, namely primary study, constant mass depletion, and differential vaporization test. Generally, PVT properties are determined either experimentally or calculated theoretically through published correlations. This chapter presents different PVT laboratory tests that are required to understand the phase behavior of black oils.

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“…Black oil [7,9] Volatile oil [1] Fluid applied in empirical correlations to obtain the relative in situ amounts of oil and gas during the production life of the reservoir.…”

Section: Propertymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

PVT Properties of Black Crude Oil

El-hoshoudy¹,

Desouky²

2019

Processing of Heavy Crude Oils - Challenges and Opportunities

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show abstract

“…The following correlating variables were used for the 𝑃 𝑏 correlation: gas solubility ( 𝑅 𝑠 ), gas gravity (𝛾 𝑔 ), oil API gravity (𝛾 𝐴𝑃𝐼 ) and reservoir temperature (T). For the 𝐵 𝑜𝑏 correlation, the correlating parameters were: 𝑅 𝑠 , 𝛾 𝑔 , oil gravity (𝛾 𝑜 ) and T. On this basis, many other correlations have been developed for both 𝑃 𝑏 and 𝐵 𝑜𝑏 [2,[5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24].…”

Section: Empirical Correlations For Estimating Pvt Propertiesmentioning

confidence: 99%

“…Unfortunately, such experimental facilities are not always available. Moreover, conventional PVT laboratory analysis tests can take weeks or even months to complete and have a high associated cost [2].…”

Section: Introductionmentioning

confidence: 99%

“…An alternative to laboratory experimentation is to determine the PVT properties of the crude oil using an empirical method which either uses the Equations of State (EOS), or correlations developed from linear or non-linear regression analysis [1,2]. The main disadvantage of the EOS is that their inputs include oil compositions which can only be determined by laboratory analyses.…”

Section: Introductionmentioning

confidence: 99%

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Oil PVT characterisation using ensemble systems

Oloso

Hassan

Buick

et al. 2016

2016 International Conference on Machine Learning and Cybernetics (ICMLC)

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In reservoir engineering, there is always a need to estimate crude oil Pressure, Volume and Temperature (PVT) properties for many critical calculations and decisions such as reserve estimate, material balance design and oil recovery strategy, among others. Empirical correlation are often used instead of costly laboratory experiments to estimate these properties. However, these correlations do not always give sufficient accuracy. This paper develops ensemble support vector regression and ensemble regression tree models to predict two important crude oil PVT properties: bubblepoint pressure and oil formation volume factor at bubblepoint. The developed ensemble models are compared with standalone support vector machine (SVM) and regression tree models, and commonly used empirical correlations .The ensemble models give better accuracy when compared to correlations from the literature and more consistent results than the standalone SVM and regression tree models.

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Evaluation of compositional models and PVT correlations for Iraqi light crude oils properties

Farkha

Zangana

Shoham

2023

Energy Science & Engineering

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Evaluation of common compositional models and pressure-volumetemperature (PVT) correlations are carried out against field data for light crude oil from north Iraqi reservoirs. The reported data and the evaluation are significant to the petroleum industry, as various international and local oil companies operate in this region. The comprehensive PVT program Multiflash™ 7.2 is utilized, employing the Peng-Robinson (PR) and Redlich-Kwong-Soave (RKS). The oil formation volume factor, bubble point pressure, solution gas-oil ratio (Rso), and saturated oil viscosity are chosen for this evaluation. The results demonstrate that the PR and RKS compositional models, with some adjustments, exhibit much higher accuracy as compared to PVT correlations. For example, the errors between the model's predictions and the field data for the Rso are 9% for PR ad 17% for the RKS model. In contrast, for the PVT correlations, much higher errors are obtained. The lowest errors (32%) are obtained with the Ikiensikimama and Ajienka, while above 90% errors (the highest) are reported by Petrosky and Farshad. This study will enable the petroleum industry to improve and optimize the production operations in north Iraq-Kurdistan region.

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Empirical estimating of black oils bubblepoint (saturation) pressure

Cited by 20 publications

References 68 publications

PVT Properties of Black Crude Oil

PVT Properties of Black Crude Oil

Oil PVT characterisation using ensemble systems

Evaluation of compositional models and PVT correlations for Iraqi light crude oils properties

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