Production Optimization through Voidage Replacement using Triggers for Production Rate

Author:

Temizel Cenk1,Kirmaci Harun2,Wijaya Zein3,Balaji Karthik4,Suhag Anuj4,Ranjith Rahul4,Tran Minh4,Al-Otaibi Basel5,Al-Kouh Ahmad6,Zhu Ying4,Yegin Cengiz7,Aminzadeh Fred4

Affiliation:

1. Aera Energy

2. Turkish Petroleum

3. HESS

4. University of Southern California

5. Kuwait Oil Company

6. Middle East Oilfield Services

7. Texas A&M University

Abstract

Abstract Voidage replacement is a key element in displacement processes, not only for keeping the reservoir pressure at its initial level but also in mitigating surface subsidence in certain fields. Despite its simple definition, it is a complicated process in reservoir management because of uncertainities involved and lack of all required measurements due to economical or technical restrictions. Thus, every single decision parameter and their relative significance in voidage replacement process is important for robust reservoir management. In general, voidage replacement is achieved where injection is based on production. This study investigates the case of triggers where the production rate at the bottom hole conditions is predicated on the bottom hole flowing conditions or reservoir gas injection rate. A full-physics commercial reservoir simulator is coupled with robust optimization software, where a miscible flood operation is modeled with a group bottom hole flowing target coupled with voidage replacement gas and water injection targets. The simulation results of this realistic case is presented in a way to show the relative significance of each operational parameter, which is outlined with tornado charts to serve as a guide in decision making in efficient reservoir management where voidage replacement is a crucial component. It is observed that triggers help to better manage voidage replacement, especially in large reservoirs where reservoir surveillance is a challenge due to number of wells and patterns. The results can be scaled up to different size of reservoirs and patterns with similar recovery processes. This study scrutinizes the feasibility of a reversal of the typical scenario where injection is based on production. Thus, it serves as a useful and realistic example for efficient reservoir management through optimization of voidage replacement through triggers for production rate.

Publisher

SPE

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