This paper explores the results of one operator's successful implementation of a workflow-based solution to real-time production surveillance and optimization of a large offshore field. In particular, we will provide an overview of one of the more complex workflows addressed, real-time model-based gas lift optimization for the asset. Details of the workflow and total value proposition are examined, demonstrating the possibilities and ROI potential of new data integration and workflow technologies.

With a system characterized by large pressure fluctuations in the surface network, previous attempts to achieve model-based optimization using manual processes had struggled with the high frequency of updates needed to maintain the models in an "evergreen" state. Utilizing a combination of techniques such as surveillance-by-exception, automated model validation, and assisted model updates, the new approach allows the operator to re-optimize gas allocations to the field's more than 200 producing wells and 70 platforms, at a 12 hour frequency. This frequency of re-optimization is sufficient to maintain the system at a maximum stabilized production rate.

The solution is currently in operation, and has provided a sustained production improvement to the field. Operational data is made readily available to users to support decisions, while workflows derived from operator best practices guide users to ensure that analysis is structured, streamlined, and repeatable.

The work is significant as a successful implementation of a large-scale production optimization solution configured to established operator best practices. In an age when operators are faced with declining production rates, smaller discoveries, and a "graying" workforce, such solutions allow operators to do more with less and deliver maximum asset value.

You can access this article if you purchase or spend a download.