Abdulraheem, Badria A. (Kuwait Oil Company) | Alnaqi, Meqdad Abdul Aziz (Kuwait Oil Company) | Rajan, Sasi (Kuwait Oil Company) | Ameen, Alaa Ali (Kuwait Oil Company) | Oyemakinde, Samuel (Schlumberger Oilfield Eastern Limited) | Al-zadjali, Marwan Ali (Schlumberger) | Ofrabor, Julius Onoriode (Schlumberger Oilfield Eastern Limited) | Ali, Zubair (Schlumberger)
The Greater Burgan Field, in Kuwait, is the second largest field and contains the largest clastic reservoir in the world. The reservoir pressure in the Wara sands have been falling below bubble point due to insufficient pressure support from aquifer in parts of the field. As a result the Early Wara Pressure Maintenance Project (EWPMP) was begun in 2009 to pilot test the effectiveness of water injection for pressure support. The Early Wara consists of a small sector in the Southwestern portion of the field with 33 wells made up of 7 injectors, 15 producers and 11 observations wells.
A fully integrated monitoring and surveillance solution has been developed that starts with the capture, conditioning and automation of production and injection data. The surveillance solution utilizes a scalable workflow that automatically computes the required waterflood surveillance KPIs. Data from the reservoir, well and layer level are all integrated to provide feedback as to the efficiency and performance of the pilot program. The objective of this paper is to show how the waterflood surveillance workflow oriented solution has been developed to provide monitoring and analysis tool for waterflood surveillance system including appropriate inputs from the various disciplines and utilize the experiences gained towards full peripheral injection in 2014.
The end product is a multi-layered decision support system that includes data integration, workflow management, engineering analysis and diagnoses as well as visualization and performance monitoring in a collaborative environment. The paper describes the integrated waterflood surveillance solution with the data integration, workflow automation, visualization and diagnosis layer. It illustrates how the system has become part of the daily routine and helped to promote a
collaborative work environment.