Reservoir simulation for a combined project of carbon dioxide storage and enhanced oil recovery: A case study

Publish Year: 1402
نوع سند: مقاله کنفرانسی
زبان: English
View: 145

This Paper With 15 Page And PDF Format Ready To Download

  • Certificate
  • من نویسنده این مقاله هستم

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این Paper:

شناسه ملی سند علمی:

GASCONF01_056

تاریخ نمایه سازی: 23 مرداد 1402

Abstract:

Increasing concern about global warming has increased interest in the geological storage of carbon dioxide (CO۲) and fossil fuel production. Carbon dioxide injection has long been used to increase oil recovery from depleted hydrocarbon waters. CO۲ separation technologies aim to optimize CO۲ storage and fuel recovery. To achieve this goal, lake water tests were used in this study to estimate the amount of CO۲ that could be stored and the amount of gas that could be produced by injecting CO۲. Using real PVT and SCAL data from the Iranian site, a study was conducted on the integrated design of the reservoir, realizing the effects of unknown water pollutants, examples of flood design, and combined CO۲ storage and enhanced recovery (EOR) economics.The difference is based on the effects on CO۲ storage and fuel production. The study found that WAG (Water Transfer Pool) injection was the best option to achieve CO۲ EOR storage goals. The combination of Dykstra-Parson's coefficient and WAG ratio with slug size are considered important factors in CO۲ WAG injection. Various performance parameters were taken into account in the simulation and sensitivity analysis was performed on various factors, the two most important of which were recovery and CO۲ capacity. To account for the benefits of time, NPV (Net Present Value) is calculated to compare the total benefits of different scenarios.According to the results obtained for each simulation model, it was determined that most of the factors that had the least effect on recovery goals were Dykstra-Parson's coefficient, WAG ratio, and slug size, while retention intent was the most important. This was followed by the WAG ratio. From the combination of WAG rate and latency, and finally the latency itself.

Authors

Reza Jamali Toygun

Department of Petroleum Engineering, Petroleum University of Technology, Ahwaz, Iran