Production Optimisation

To achieve cost benefits, you need an integrated improvement programme approach. Improvement actions can be prioritised and implemented using performance modelling output.
 
Our Approach
GL takes a reliability-based approach to asset optimisation. Our process is implemented in discrete phases, each with clear objectives and deliverables.
 
Our approach demonstrates methodology effectiveness, and can be applied to a number of assets selected on the basis of performance and revenue and profit impact. The models developed can be used in future optimisation programmes as demands and operating constraints evolve.
 
Key Benefits
GL uses OPTAGON^TM, a reliability and availability simulator, to model technical and financial parameters at production areas and asset levels. This technique is proven in improving system availability, in some cases by over 10%, resulting in significant business benefits.
 
In performance improvement programmes, an increase in revenue frequently results in a direct increase in profit, as the infrastructure and operating costs are not substantially changed.
 
GL also provides a suite of skills and technologies in adsorption processing for high pressure natural gas stream purification. These are encompassed under the ADAPT  (ADvanced Adsorption Process Technology) product.

OPTAGON Modelling Tool
OPTAGON^TM is a software tool developed by GL to analyse the performance of complex oil and gas production assets, and has been used in both facility design and operation. Traditional analytical techniques, such as fault tree analysis and reliability block diagrams, can be used when considering relatively simple systems. However, when analysing the performance of oil and gas production assets, there are complexities that require a different approach. These complexities include:

• Multiple revenue streams and product streams
• Tank storage (e.g. LNG import and export facilities)
• Gas substitution arrangements
• Operational strategy (e.g. over-producing to make up for production losses)
• Resource constraints (e.g. repair team limitations, spares holding)
• Variable demand profile (e.g. seasonal) with random fluctuations
• Partial operation states
• System configuration changes and equipment throughput variations
• Conditional logic and equipment dependencies
• To overcome such complexities, GL have adopted the Monte Carlo approach for use within OPTAGON^TM

Asset Optimisation Methodology
The asset optimization process is designed in four phases, the first three using a similar methodology to define and achieve the target business performance. Central to this process is GL's OPTAGON^TM performance modelling software that allows cost and benefit comparison to allow the optimum improvement solutions to be selected. It provides an integrated model incorporating all technical factors and financial (revenue and cost) elements and defines the increased asset availability and production benefits to be delivered by each technical improvement proposal.

The asset optimization process provides a quantified and auditable approach to performance improvement where the benefits can be clearly demonstrated. The final phase ensures that performance is maintained through ongoing infrastructure development and continuous improvement. The use of an integrated model is important, as there are likely to be complex interactions between the proposed solutions in each technical area.
 
OPTAGON^TM allows the interaction effects to be understood. The modelling also allows the impact to be understood in the context of upstream and downstream constraints and demands. The modelling assesses both physical plant and equipment improvements and operational issues addressed through personnel training and the introduction of new work processes. An integrated team of client and GL staff deliver the project, thus facilitating the transfer of experience, knowledge and technology needed to ensure that the performance improvement is sustainable into the future.