TY - GEN
T1 - Simulation Opportunity Index, A Simple and Effective Method to Boost the Hydrocarbon Recovery
AU - Saputra, Wardana
N1 - KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: Thanks to Department of Petroleum Engineering, Institut Teknologi Bandung, Indonesia, as an origin of the SOI Tool software development. And thanks to Energy Geosystem Group of the Upstream Petroleum Engineering Research Center, King Abdullah University of Science and Technology for giving a valuable input to develop SOI Tool ver 1.1.
PY - 2016/9/8
Y1 - 2016/9/8
N2 - During periods of low oil prices, profitability of field developments drops drastically. To help with this difficulty, a cost-effective method has been proposed to boost the hydrocarbon recovery by optimizing well locations through the Simulated Opportunity Index (SOI). SOI is an intelligent method to identify zones with high potential for production which is empirically calculated from basic rock and fluid properties, and from reservoir pressure as its energy capacity. In order to obtain the best results, the original SOI formula (Molina et al., 2009) was extended to both oil and gas fields. Based on this modified SOI formula, a software program has been developed to locate the best well locations considering multilayer, existing wells, and fault existences.
This paper describes how the SOI software helps as a simple, fast, and accurate way to obtain the higher hydrocarbon production than that of trial-error method and previous studies in two different fields located in offshore Indonesia. On one hand, the proposed method could save money by minimizing the required number of wells. On the other hand, it could maximize profit by maximizing recovery.
AB - During periods of low oil prices, profitability of field developments drops drastically. To help with this difficulty, a cost-effective method has been proposed to boost the hydrocarbon recovery by optimizing well locations through the Simulated Opportunity Index (SOI). SOI is an intelligent method to identify zones with high potential for production which is empirically calculated from basic rock and fluid properties, and from reservoir pressure as its energy capacity. In order to obtain the best results, the original SOI formula (Molina et al., 2009) was extended to both oil and gas fields. Based on this modified SOI formula, a software program has been developed to locate the best well locations considering multilayer, existing wells, and fault existences.
This paper describes how the SOI software helps as a simple, fast, and accurate way to obtain the higher hydrocarbon production than that of trial-error method and previous studies in two different fields located in offshore Indonesia. On one hand, the proposed method could save money by minimizing the required number of wells. On the other hand, it could maximize profit by maximizing recovery.
UR - http://hdl.handle.net/10754/625549
UR - https://www.onepetro.org/conference-paper/SPE-184501-STU
U2 - 10.2118/184501-stu
DO - 10.2118/184501-stu
M3 - Conference contribution
BT - SPE Annual Technical Conference and Exhibition
PB - Society of Petroleum Engineers (SPE)
ER -