Automated Production Network Model Calibration and Optimization in Agbami Field

Abstract

Abstract Agbami Field is a deepwater producing asset off the coast of the Niger Delta region in Nigeria. The production system comprises of 26 subsea production wells, 8 subsea production manifolds, subsea flowlines and subsea risers respectively. The production wells are intelligent completions made up of 22 dual zone well completions and 8 single zone well completions. Dual zone well completions are equipped with Interval Control Valves (ICVs) for zonal control & isolation. They are also equipped with several pressure/temperature (P/T) gauges from the sand-face completion to topsides for real time measurement. Production commenced in 2008 and peak production was achieved a year later in 2009. Field production remained at peak for about 8 years. The stellar field performances have been achieved through several reservoir management best practices. These include, but not limited to, robust initial field development strategy, infill development, acid stimulation operations, Real Time Reservoir Management (RTRM) and production optimization using Intelligent Well Completion (IWC). This paper demonstrates the development of an automated system which performs Production Network Model calibration and assessment of production optimization opportunities. The key considerations for automated calibration and optimization system workflow development will be presented. Since deployment, the automated calibration and optimization system has reduced the manhours spent with manual model calibration and optimization assessment by 85%. Lessons learned during the development and deployment of the automated system as well as production gains realized from the solution will be highlighted.