Correlations for predicting solution gas/oil ratio, oil formation volume factor, and undersaturated oil compressibility

Elsharkawy, Adel M.; Alikhan, Abbas A.

doi:10.1016/s0920-4105(96)00075-7

Cited by 60 publications

(25 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The bubblepoint correlation of Kartoatmodjo and Schmidt (1994) was developed based on 5,392 data points from 740 PVT samples from South East Asia, North America, the Middle East and Latin America. Elsharkawy and Alikhan (1997) used a total of 175 PVT analyses of crude oil samples collected from different Kuwaiti oil fields to develop new correlations. Khairy et al (1998) used 43 laboratory PVT analyses to develop correlations for Egyptian reservoirs.…”

Section: Models Through Commonly Available Field Datamentioning

confidence: 99%

Empirical estimating of black oils bubblepoint (saturation) pressure

Jarrahian

Moghadasi

Heidaryan

2015

Journal of Petroleum Science and Engineering

View full text Add to dashboard Cite

Section: Models Through Commonly Available Field Datamentioning

confidence: 99%

Empirical estimating of black oils bubblepoint (saturation) pressure

Jarrahian

Moghadasi

Heidaryan

2015

Journal of Petroleum Science and Engineering

View full text Add to dashboard Cite

“…Methods of Standing (1947), Vasquez and Beggs (1980), Glaso (1980), Marhoun (1988) and Petrosky and Farshad (1993), as famous correlations, have been introduced in the literature (Ahmed, 2010). Elsharkawy and Alikhan (1997) presented a set of correlations for gas solubility, oil compressibility (C o ) and B ob . Their relation for B ob is as follows: …”

Section: Introductionmentioning

confidence: 99%

Toward Predictive Models for Estimation of Bubble-Point Pressure and Formation Volume Factor of Crude Oil Using an Intelligent Approach

Abooali

Khamehchi

2016

Braz. J. Chem. Eng.

View full text Add to dashboard Cite

-Accurate estimation of reservoirs fluid properties, as vital tools of reservoir behavior simulation and reservoir economic investigations, seems to be necessary. In this study, two important properties of crude oil, bubble point pressure (P b ) and formation volume factor (B ob ), were modelled on the basis of a number of basic oil properties: temperature, gas solubility, oil API gravity and gas specific gravity. Genetic programming, as a powerful method, was implemented on a set of 137 crude oil data and acceptable correlations were achieved. In order to evaluate models, two test datasets (17 data for P b and 12 data for B ob ) were used. The squared correlation coefficient (R 2 ) and average absolute relative deviation (AARD %) over the total dataset (training + test) are 0.9675 and 8.22% for P b and 0.9436 and 2.004% for B ob , respectively. Simplicity and high accuracy are the advantages of the obtained models.

show abstract

“…The properties of reservoir fluids [1] are normally determined from bottom-hole and/or surface recombined samples. The fluid properties are required for a large number of reservoir engineering calculations, which include, selection of the most important enhanced oil recovery (EOR) method for a reservoir candidate, estimation of hydrocarbon reserves, performance prediction, calculations related to the production operation, production optimization, well-testing studies, fluid flow through porous media, etc [1][2][3][4][5][6][7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

“…The fluid properties are required for a large number of reservoir engineering calculations, which include, selection of the most important enhanced oil recovery (EOR) method for a reservoir candidate, estimation of hydrocarbon reserves, performance prediction, calculations related to the production operation, production optimization, well-testing studies, fluid flow through porous media, etc [1][2][3][4][5][6][7][8][9][10]. In other words, reservoir fluid properties such as bubble point pressure, oil formation volume factor (OFVF), and solution GOR are key parameters in petroleum engineering calculations and are obtained through laboratory measurements, theoretical methods, and/or empirically derived correlations.…”

Section: Introductionmentioning

confidence: 99%