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Choke and Well Line Up Optimization in an Intelligent Deepwater Field: Agbami Case Study.

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Abstract Agbami is a prolific deep-water field which commenced production in 2008 and achieved peak production a year later, in 2009. Plateau production has been maintained in the field since 2009 through various efforts which include drilling of additional wells, pressure maintenance by gas and water injection, acid stimulation and choke/well-lineup optimizations. This paper focuses on the production optimization in the Agbami field obtained from choke and well-lineup optimizations. Agbami production system is an intelligent network that comprises of completions, wells, subsea flowlines and risers. Currently there are 24 wells, 8 subsea flowlines and 8 production risers in the production system. Multiple wells flow commingled in each riser, but each well can be lined-up to either of two risers in a riser loop. Parameters such as pressure, temperature etc. are monitored in real time at different nodes in the network. Production optimizations are achieved by manipulating the production control chokes at the completions, wells or risers; and/or by changing the line-up of the wells. Robust surveillance and monitoring are key to achieving successful production optimization. Periodic production tests are done at the completion, well and commingled riser level; while periodic pressure build-ups are done on the completion level. These surveillance data (plus real-time data) are used to update the completion, well and riser constraints and to calibrate the production network model. By continuously monitoring the operating constraints and comparing the constraints with the current production data, optimization opportunities are routinely identified. The identified opportunities are evaluated using the calibrated model and if viable, are proposed for execution. The key challenge is having good calibrated production network model to use for optimization. Choke and well lineup optimizations have proven to be an effective approach to obtaining increased production at no cost. These efforts have led to an average production gain of 12,000 BOPD per year in the past 8 years in Agbami field.
Title: Choke and Well Line Up Optimization in an Intelligent Deepwater Field: Agbami Case Study.
Description:
Abstract Agbami is a prolific deep-water field which commenced production in 2008 and achieved peak production a year later, in 2009.
Plateau production has been maintained in the field since 2009 through various efforts which include drilling of additional wells, pressure maintenance by gas and water injection, acid stimulation and choke/well-lineup optimizations.
This paper focuses on the production optimization in the Agbami field obtained from choke and well-lineup optimizations.
Agbami production system is an intelligent network that comprises of completions, wells, subsea flowlines and risers.
Currently there are 24 wells, 8 subsea flowlines and 8 production risers in the production system.
Multiple wells flow commingled in each riser, but each well can be lined-up to either of two risers in a riser loop.
Parameters such as pressure, temperature etc.
are monitored in real time at different nodes in the network.
Production optimizations are achieved by manipulating the production control chokes at the completions, wells or risers; and/or by changing the line-up of the wells.
Robust surveillance and monitoring are key to achieving successful production optimization.
Periodic production tests are done at the completion, well and commingled riser level; while periodic pressure build-ups are done on the completion level.
These surveillance data (plus real-time data) are used to update the completion, well and riser constraints and to calibrate the production network model.
By continuously monitoring the operating constraints and comparing the constraints with the current production data, optimization opportunities are routinely identified.
The identified opportunities are evaluated using the calibrated model and if viable, are proposed for execution.
The key challenge is having good calibrated production network model to use for optimization.
Choke and well lineup optimizations have proven to be an effective approach to obtaining increased production at no cost.
These efforts have led to an average production gain of 12,000 BOPD per year in the past 8 years in Agbami field.

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