Evaluation of carbon dioxide storage in depleted gas fields in northwest complex of central luconia province

Abstract

The purpose of this study is to investigate the application of genetic algorithm (GA) in modelling The rising concentration of CO2 in the atmosphere which is believed to increase tremendously around 1.7% every year and has caused a controversial environmental concern, has urged numerous ongoing research on how to overcome this issue. Apart from re-using the emitted carbon dioxide as a source for EOR, this situation has also led to consideration of Carbon Capture and Storage or CO2 Sequestration; where we store large scale Carbon Dioxide in the subsurface. This study is made following the footstep to further study CO2 storage in Sarawak Basin, particularly in the depleted gas reservoirs in the northwest complex of Central Luconia. ArcGIS was used to classify the potential area from high to low potential region in the Central Luconia Province and it was revealed that at least 57% of the entire study area has high potential value. Three fields were considered as the casestudies in this research selected from their availability of data namely A1, B2 and C3. Qualitative assessment was also conducted to pull out an estimation of theoretical storage capacity using CSLF and US-DOE-NETL methods. Although represented relatively smaller in area than the other two, A1 topped the estimation of theoretical storage capacity by 14.1 Gt and 7.8 Gt by CSLF and US-DOE-NETL respectively. B2 and C3 scored 6.4 Gt and 7.4 Gt from CSLF and 3.5 Gt and 4.1 Gt from USDOE- NETL respectively.