Gas Lift Optimization solutions have improved significantly over the past decades with the introduction of Integrated Operation (IO) in the Oil and Gas industry.
Big fields that consist of hundreds of strings, gas lift injection system, water/gas injection system and complex surface facilities (compressors, pumps, choke and valve, etc.) could establish numerous cases from different scenarios to identify production bottlenecks via simulated network models.
Using available tools, the user could model the full production system including well, surface network, reservoir, gas/water injection models, gas lift injection networks and process plants to identify bottlenecks and opportunities for optimization. The model is updated continuously using live data feed and automated technical workflow to establish an end to end solution in providing various optimization scenarios e.g. Gas Lift Optimization.
This paper discusses how the methodology works and reviews the results of gas lift optimization from four platforms consisting of over 200 strings of which 95% are gas lifted, operated using a new approach that includes live link to field data, integrated model management, and automated technical workflows to identify potential strings and gas lift supply facilities for production enhancement. This paper reviews the setup required to ensure all the necessary inputs are aligned to publish the desired outcome.
The approach has resulted in prevention of 480bopd potential deferment at platform level that can be further improved with future field implementation. In addition to gas lift optimization, the workflows have potential to expand to other business needs such as defining an accurate gas demand requirement, determining daily liquid or sand production limitation identifying underperforming wells, optimizing choke configuration, studying the feasibility of low pressure system, water treatment system, and condensate recovery system.
This paper should be of interest to those who are planning to implement Integrated Operations to their field with the aim in maximizing its value. It will provide information on the requirements, challenges, ways to overcome, and effective approach during the implementation.