MATERIAL BALANCE APPLICATION FOR BROWNFIELD DEVELOPMENT
The need to re-develop one of the Brown fields located in the Niger Delta area of Nigeria was necessitated by the fact that there are still three undeveloped reservoirs in the field. A total of six stacked reservoirs, A100 to A600 (all oil bearing with associated gas) were penetrated between 8552 ftss and 10652 ftss by APV-1 well. Reservoir blocks A200 and A600 are the largest in the field accounting for 77% of the total field STOIIP. The well was completed with a Two String Multiple (TSM) on the two levels, with the short string producing from the A200 reservoir and the long string producing from the deeper A600 reservoir, A300 behind the sleeve.
The purpose of this research is to identify the best developmental plan to produce the reservoirs, either with a TSM completion or with a Smart well completion based on the economics. There are many single well fields in the Niger Delta area of Nigeria that have not been optimally produced, hence this study seeks to maximize the life of this field.
The reservoirs were simulated and production forecast carried out amounted to 14.55 MMstb for a period of 16 years. After economic analysis was performed, the Net Present Value for the TSM and the Smart well completion were US $MM 241.9 and 248.88 respectively and an Internal Rate of Return of 155% and 202% respectively, hence the Smart well development plan is recommended.
Petroleum reserves are declining, and fewer noteworthy discoveries have been made in recent years (Abdus, 1990). The need to increase recovery from the vast amount of remaining oil and to compete globally require healthier reservoir management practices (Abdus et al, 1994). However, technological developments in all areas of petroleum exploration and exploitation, along with fast increasing computing power, are providing the tools to better develop and manage reservoirs to maximize economic recovery of hydrocarbons (Abdus, 1990).