Understanding the integrated performance of complex artificially lifted
wells on not normally manned (NNM), offshore platforms without invasive
techniques represents a challenge not only to minimizing operating costs but
also to optimizing production and thereby maximizing value. Often the analysis
of such problems is hindered by the complex interactions between identified
production constraints and by a lack of operating data.
The Cliff Head oil field (offshore Western Australia) is developed with an
innovative coiled-tubing deployed-electrical-submersible-pump (CT-ESP)
artificial-lift system. This paper describes the process by which ESP and well
data, in conjunction with a well-performance-modeling software, have been used
as a powerful tool to diagnose well-performance issues and optimize production.
Production trends were created on the basis of real-time production data to
understand ESP performance. Individual-well models were created to identify
potential causes of declining performance--in this case, the use of an ESP
performance-limiting factor (PLF) indicating deteriorating ESP performance
because of solids buildup.
On the basis of the model results, chemical soaks were implemented on two
production wells to remove flow restrictions within and around the ESPs. The
treatments increased the oil-production rates by 17 to 48%.
Following a debottlenecking study, reservoir simulation in combination with
detailed ESP-performance analysis concluded that total-field-production
improvements of up to 50% were possible. Consequently, the next phase of field
development will install larger-capacity ESPs.
This paper outlines how field data and desktop tools were combined
successfully to monitor and diagnose well-performance issues to deliver
material production enhancements.
© 2012. Society of Petroleum Engineers
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- Original manuscript received:
22 March 2010
- Meeting paper published:
14 February 2010
- Revised manuscript received:
11 October 2010
- Manuscript approved:
1 November 2010
- Published online:
16 February 2012
- Version of record:
28 February 2012