Annual Technical Meeting 1997
DOI: 10.2118/97-93
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Correlation of Black Oil Properties At Pressures Below Bubble Point Pressure - A New Approach

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Cited by 44 publications
(39 citation statements)
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“…Labedi (1992) presented viscosity correlations for Libyan crude using 91 data points, which showed average errors of − 2.61%, −2.38%, and − 3.1% for dead oil, saturated oil, and undersaturated oil respectively. Velarde et al (1999) pointed out that most of the correlations used for prediction of solution GOR below bubble point pressure suffer from two deficiencies -first, the shape of the plot of calculated solution GOR versus pressure does not match that of the experimentally generated values, especially at high initial GOR; second, bubble point pressure is estimated from the same correlation, i.e., no separate correlation exists for independent prediction of bubble point pressure. To alleviate the problem, they proposed a new correlation based on reduced variable approach.…”
Section: Introductionmentioning
confidence: 99%
“…Labedi (1992) presented viscosity correlations for Libyan crude using 91 data points, which showed average errors of − 2.61%, −2.38%, and − 3.1% for dead oil, saturated oil, and undersaturated oil respectively. Velarde et al (1999) pointed out that most of the correlations used for prediction of solution GOR below bubble point pressure suffer from two deficiencies -first, the shape of the plot of calculated solution GOR versus pressure does not match that of the experimentally generated values, especially at high initial GOR; second, bubble point pressure is estimated from the same correlation, i.e., no separate correlation exists for independent prediction of bubble point pressure. To alleviate the problem, they proposed a new correlation based on reduced variable approach.…”
Section: Introductionmentioning
confidence: 99%
“…It should be borne in mind number of training data, which represents the underlying dependency between input/ output data space is a key parameter in constructing intelligent models. At the last stage of this study, SVR model was compared with neural network and three wellknown empirical correlations, including Al-Shammasi (1999), McCain (1991, and Velarde et al (1999). Comparison results using concepts of correlation coefficient (R), average relative error (ARE), absolute average relative error (AARE), and root mean square error (RMSE) are shown in Table 1.…”
Section: Resultsmentioning
confidence: 99%
“…They compared their model with nine published correlations. In 1999, Velarde and McCain [28] developed a set of empirical methods for calculating solution GOR and OFVF, and modified OFVF using 195 laboratory tests. In 2007, Mazandarani and Asghari [29] tuned AlMarhoun 's correlation [9] for Iranian field data to obtain a modified correlation using about fifty fluid samples collected from different Iranian oil fields.…”
Section: Solution Gas-oil Ratiomentioning
confidence: 99%