Application of a New IPR Model with a Comparison to PGOR Test and PLT Data to Evaluate Wells Productivity

Abstract

Abstract In 2009 a new Inflow Performance Relationship (IPR) model "SPE- 124041"was built using simulation and field data sets. Reservoir simulation was used firstly to accurately select the best fit between the oil mobility function and the average reservoir pressure. The new IPR was developed based on the resulted oil mobility-pressure profile. Then, many field cases were used to develop an oil mobility-pressure relationship. Accordingly in this work, an attempt to apply the new IPR was proposed. To check the applicability and accuracy of the new IPR model, multi-rate test with bottom hole pressure is required to plot the actual IPR curve. Many Portable Gas Oil Ratio (PGOR) tests integrated with ESP bottom hole pressure data and Flowing Bottom Hole Pressure (FBHP) surveys were used to create actual IPR curve for each well. Also, bottom hole pressure and flow profile obtained by Production Logging Tool (PLT) data for each entire producing interval in a layered reservoir system is used to plot each actual IPR curve. Then, the new IPR model was tested and compared to the most common IPR models to get the IPR curve for each well as well. The applicability for different fields (KOC fields) of the new IPR model was tested and compared to the most common single point IPR models known in the industry (Vogel, Wiggins, and Sukarno). Many PGOR field cases were used for comparison. The best method for PGOR and PLT cases was the new method and that with average error of around 3.6 %, while the errors from the other models are higher than 4 % ranging from 4.5 to 5.3 %. For PLT cases. To combine layered reservoir production testing, which could be conducted under pressure transient conditions with the inflow performance; it will help accurately to determine the optimum production rate for each well of interest. The results showed this method is accurate, reliable and simple. Is general for oil reservoirs, requires only one test point and has a wide range of application.