Well Integrity Resources provides information related to well integrity. Conference Details 2nd Annual Practical Applications of NMR in Industry Conference Organized by Cambridge Healthtech Institute Hilton Charlotte University Place. Petroleum Reservoir Engineering Physical Properties Pdf To Excel' title='Petroleum Reservoir Engineering Physical Properties Pdf To Excel' />Express Helpline Get answer of your question fast from real experts. PDF or denotes a file in Adobes Portable Document Format. To view the file, you will need the Adobe Reader available free from Adobe. Excel or the letters. Lagos State Local Government Service Commission Massive Vacancies. Relevant academic qualifications to apply today. New correlations for CO2 Oil solubility and viscosity reduction for light oils. Initial plotting of solubility versus pressure for all of the available dead oil experimental data 1. Emera 2. 00. 6, showed a trend of increasing solubility with pressure. Course Hero Keygen Mac. Additionally, when the data points were colored by temperature, a strong correlation between temperature and solubility became apparent as well, as shown in Fig. Fig.  2. Experimental CO2 Dead Oil solubility as a function of pressure with data points colored by temperature. The next step was to plot each data set each with a different temperature individually to isolate the relationship between pressure and solubility. Because the focus was developing correlations for light oils, we limited this step to data sets with oil specific gravity less than 0. This left seven experimental data sets, each with three to six data points 2. Appendix Table 5. Each data set was plotted with both a linear and natural logarithm best fit line. Based on the least squares regression coefficient of determination, R2, for each fit, a logarithmic correlation proved a better fit for five of the seven experimental data sets. The plots of each of the seven data sets with their logarithmic best fit equations and R2 values are shown in Fig. Fig.  3. Experimental CO2 Dead Oil solubility as function of pressure with logarithmic best fit line for each data set. Once a logarithmic correlation was selected for the relationship between pressure and solubility, we sought to determine the correlation with temperature. Based on empirical observations, the form of C1  C2  T was selected as an appropriate form to use for both the slope and intercept coefficients, which upon testing seemed to be adequate for the purposes of the study. Using the ExcelSolver function, we determined the coefficients for the equation of the formtextSol left a b cdot T right cdot Lnleft p right left c d cdot T right1ap in MPa and T in  C that provided the smallest error between the experimental data and correlation solubility values. The resulting coefficients werea 0. A plot of the correlation solubility values versus the experimental data is shown in Fig. The best fit line for the new correlation has a slope of 0. R2 value of 0. 9. The correlation has an average error of 3. The new correlation gives a comparable level of accuracy as the Emera correlation which has an R2 value of 0. Emera. Fig.  4. CO2 Dead Oil solubility correlation values versus experimental data for oil with gravities less than 0. The new correlation was tested using a one off validation procedure. This involves removing one point from the data set at random, determining the new corresponding correlation coefficients, a, b, c, and d, for the remaining data, and then comparing the single removed point experimental value to the new correlation value. This was repeated for a total of five times with random data points selected across the range of CO2 oil solubility values. These five points are plotted in Fig. The five points give an R2 value of 0. Fig.  5. CO2 Dead Oil solubility correlation testing.