STUDY OF EMPIRICAL OIL FRACTIONAL-FLOW MODELS IN CAPACITANCE-RESISTANCE MODELS

• Main Author: Alek Sander, Yongki
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/39779
• Institution: Institut Teknologi Bandung

A method used in evaluating reservoir production prediction is chosen by considering the availability of time and resources, the percentage of reliability and last but not least is the ease of application of prediction. Capacitance-Resistance Model (CRM) came as a tremendous predictive model to study reservoir performance, especially in evaluating the reservoir production prediction. The used of CRM in this study is as a predictive model which will help to evaluate the right model of oil fractional-flow models based on its water cut. Injection and production rate are considered as input and output signals in CRM. The parameters such as inter-well connectivity and time also play its role toward the CRM performance. In an effort to obtain the CRM parameter of inter-wells connectivity and time, solving the history of production/injection has to be done in the very first place. In order to obtain the parameters, (GRG) nonlinear solver is used to find the best representative parameters with production and injection data as an input. Thereafter, the CRM calibrated model obtained is used to study the empirical oil fractional-flow model when calculating the oil production rate. In this study, the application of CRM is demonstrated in one synthetic field obtained by CMG reservoir simulator and one oilfield case study. When calculating the oil production rate, 5 different types of oil fractional-flow models are used in the study. After solving the parameters of each model, the models would then be combined according to its water cut to obtain the model which would give the minimum error in predicting the reservoir performance. The result showed that the combination model obtained is able to predict oil produced with minimum error compare to other 5 empirical models.