Taro - Providing advanced RAM analysis for the downstream industry
RAM analysis for the downstream industry
DNV GL - Software supports your decision-making process for capital investment and on-going asset performance improvement
An advanced RAM study enables optimization of production efficiency for high value refinery products (e.g. gasoline, diesel, lube oils) from understanding the interaction of individual process unit reliability, refinery production slates, storage, and operational flexibility.
DNV GL is a leading provider of software products based on the Reliability, Availability and Maintainability (RAM) methodology for the upstream and downstream oil and gas industries. In the downstream industry, Taro has been applied from plant wide performance analysis to distribution network studies, supply chain models, life cycle cost analysis through to detailed reliability engineering and failure investigation.
Some of the typical benefits that can be achieved from a RAM analysis using Taro include:
- Maximized production of key products
- Improvement of plant utilisation
- Minimization of investment required to achieve given targets
- Optimization of storage requirements
- Quantification of the impact of project implementation
Taro allows you to analyse the reliability, maintainability and availability of your asset using your understanding of the asset and the way it operates.
To forecast the performance of a complex asset, the interactions of a large number of factors which impact the ability of the system to perform its required function must be assessed in an integrated manner. The key challenge is to capture all the interactions between inter-related parameters.
Taro was specifically developed for the modelling of refining and petrochemical plants in which the production efficiency is a complex interaction between reliability, blending and yield rules, flow routing (including recycle), intermediate storage options and logistics operations.
Taro has a track record of being used for analysing designs of numerous refineries, petrochemical plants and associated supply chain logistics. An important strength of Taro is the ability to handle multiple feedstock and product streams along with complex buffer and operational strategies.
This methodology is applied to a wide range of assets, such as:
- Petrochemical plants
- Gas production and distribution networks
- Utility production and distribution networks
- Systems involving product transport and logistics (shipping, rail, trucks, pipelines)
Typical objectives of a RAM study using Taro are:
- Asset design optimisation (e.g. storage tank sizing, unit capacity, equipment sparing, etc)
- Asset operations optimisation (e.g. maintenance philosophy, inventory management, product export, load shedding rules, etc)
- Identification of bottlenecks and key performance drivers (i.e. the relation between asset reliability and production)
- Setting of performance targets (e.g. where to focus reliability improvement efforts)
- Evaluation and prioritisation of investment opportunities (based on NPV calculation of costs and revenues)