Production System Optimization Training

Trainer(s): Marcel Bouts

Business context

Production System Optimization (PSO) is the process of maximising value in an existing production system by making changes in the short and medium term. The course looks in an integrated way at the production system from reservoir - wells - facilities. It uses a structured approach in order to understand and analyse the production system with the objective to identify bottlenecks and optimization opportunities. The PSO process comprises of the following steps:

  1. The four pillars of measurement: selection, sizing, maintenance and calibration
  2. Cycles of surveillance (PSO reviews)
  3. Requirements of optimization (e.g. Limit Diagrams)
  4. Getting opportunities implemented (e.g. PSO economics)

The above is supported by getting insights in the use of the, "Paint the Picture", Limit Diagram, PSO economics, how to risk opportunities and group dynamics. 

Who should attend

Production technologists/engineers, petroleum engineers, reservoir engineers, production geologists, facility engineers, production supervisors, production operators, production programmers.

Note: for each class it is highly recommended that the participants are at least from a mix of the above listed disciplines.

Course content

  1. Creating the right behaviour for PSO
  2. How to "Paint the Picture" of an asset
  3. Data acquisition
  4. PSO review preparation
  5. How to construct and use a Limit Diagram of an asset
  6. PSO economics
  7. Risking of opportunities
  8. Preparing an action plan

Learning, methods and tools

 The class is built around a multi-day exercise in which teams work to optimize a field using the techniques they have learned. In addition, exercises are used to practice the various steps of the PSO process.  The class provides a venue for discussion and sharing of good practices as well as opportunities to practice multidiscipline cooperation and facilitation.

Class participants are encouraged to bring their own challenges and seek advice from the instructor and other participants about optimization techniques and improvement planning.