Capacity Rating and Debottlenecking

Understanding the capacity of a plant is fundamental to maximising the value of an asset. Whether that’s increasing plateau rates, maximising late life operation, or understanding the impact of a new field.

Genesis produces debottlenecking assessments that can realise enhanced production capacity in a facility, providing the opportunity to monetise better reservoir performance, introduce new fields or change operating conditions.

Genesis applies a systematic approach that allows rapid identification and focus on the most constrained areas of plant to avoid unnecessary scope.

• Understand the drivers of the client and ask the right questions around hard and soft facility limits to frame the study:
  • Which areas of the plant are affected?
  • Are design excursions time-limited by production profile?
  • Can operating parameters be adjusted to mitigate the impact?
  • Are there second-order impact on utilities, services and plant logistics?
• Provide options to optimise and debottleneck / modify parts of the plant including cost estimation.
• Our service is characterised by flexibility and responsiveness, adapting as our clients’ needs change.
• Extensive experience of building complex process simulations and  benchmarking of our models against plant operational data has proven time and again to deliver exceptional results.

A team of process engineers with a depth of experience in performing capacity assessments of varying degrees of complexity.  We have proprietary in-house tools available and use these where they complement the engineering assessment:

• Bespoke hydraulic models with Graphical User Interface (GUI);
• In-house automated equipment rating tool applying a standardised equipment rating method to a whole plant;
• A range of standardised, proven, design tools for detailed equipment rating.

We have access to a pool of over 200 process engineers and can call on specialists from other engineering disciplines, as needed.  We can quickly mobilise a highly capable and cost-efficient study team.