DEVELOPMENT OF CO2-EOR SCREENING MODEL BASED ON TECHNICAL AND ECONOMIC ASPECTS

• Main Author: Rosiani, Diyah
• Format: Dissertations
• Language: Indonesia
• Subjects: Pertambangan dan operasi berkaitan
• Online Access: https://digilib.itb.ac.id/gdl/view/65615
• Institution: Institut Teknologi Bandung

Screening is the initial stage in characterizing suitable reservoirs for CO2-EOR. This stage greatly influences the successful implementation of CO2-EOR so the results are important. The screening model in previous studies treats each screening parameter independently so that they are uncorrelated and unaffected by others. As a result, each screening parameter has its criteria limit independent of the other parameters. However, if it is associated with actual physical phenomena, several screening parameters are interdependent and affect one another so a screening method is needed that treats the interdependent parameters simultaneously. This study develops a new screening model for interdependent parameters called the simultaneous screening model. The screening model is built on quantitative data collected from CO2-EOR field references worldwide. A statistical approach with a correlation analysis method is used to determine the related screening parameters. The results are aligned with the expert domain to match the actual phenomenon. The multivariate quality control method, based on the results of data dimension reduction with principal component analysis, is used to determine the limits of simultaneous screening criteria. The integration between the statistical approach and the expert domain has succeeded in building a screening model to improve the previous screening models. The proposed screening model is implemented in 13 actual projects. The results obtained to match the actual operating conditions and follow the expert domain rules. If the miscible CO2 condition is met at the limit of the screening criteria, then the immiscible CO2 also conforms but not vice versa. This new screening model can also shorten the time by determining the related screening parameters simultaneously, not individually. This screening model is recommended to be implemented in other fields because it provide good, fast, and representative results. In addition to screening techniques that meet expert domain rules, economic evaluation is also required as an essential part of the screening process. The development of a screening model based on technical and economic aspects can evaluate the CO2-EOR project fully. Quick technical and economic screening models are needed in Indonesia as CO2-EOR has not been implemented in the full field. The fast-screening model is built using available field data in Indonesia, 5 making it more representative. A synthetic reservoir simulation model is built to represent field data with the help of commercial software of CMG GEM. This simulation model predicts the rate of oil production as revenue in economic calculations. The economic model approach of the unit per volume injection pattern is given to provide controlled economic results at the same reservoir volume unit making the economic calculations unambiguous. The net present value is the economic feasibility indicator with discounted cash flow analysis. Variable costs include capital and operational costs, which are adjusted to conditions in Indonesia. This rapid screening model is developed with the help of artificial intelligence using an artificial neural network and a polynomial regression method. Better performance is given by the artificial neural network method, with smaller errors obtained. The development of a screening model that involves technical and economic aspects with artificial neural networks provides a rapid and representative initial screening for conditions in Indonesia to motivate the acceleration of CO2-EOR implementation. The screening method implemented in four Indonesian fields can quickly provide recommendations on the net present value, injection pattern selection, pore volume injection, and field priority for CO2-EOR.