Our digital asset ecosystem for process plants provides a holistic view of asset health with data sharing, visualization and integration with third party systems. At the heart of the plant integrity lifecycle is a robust and configurable system with data shared between lifecycle stages, from front-end engineering and design (FEED) to operations.
In the operational phase, RAM analysis and predictive analytics combine to affect integrity management strategies, ultimately leading to actionable insight and efficiency gains. Areas covered include process plant performance management, plant integrity and process safety, risk and reliability.
Plant integrity management software
The next generation plant maintenance software solution, offering a complete plan-do-check-act approach for managing asset integrity, risk quantitatively or qualitatively and has been used by customers operating upstream and downstream process plants and offshore platforms in more than 20 countries. Synergi Plant is part of DNV GL's asset performance management (APM) offering. You can capture, integrate and visualize data, and further integrate with analytical tools such as reliability-centered maintenance (RCM), risk-based inspection (RBI), performance forecasting (RAM analysis) and safety integrity level (SIL) improving the reliability of assets.
Process hazard analysis in the process industries
Phast is the world's most comprehensive process hazard analysis software tool for all stages of design and operation in the process industry. Phast examines the progress of a potential incident from the initial release to far-field dispersion including modelling of pool spreading and evaporation, and flammable and toxic effects.
An entry level hazard analysis tool
Phast Lite is a tailored version of Phast, designed to meet the needs of users who do not require the full functionality of Phast. Phast Lite uses the same discharge, dispersion analysis and effects models as the full version of Phast.
Quantitative risk analysis
Safeti is the user-friendly industry standard software tool for carrying out Quantitative Risk Assessments (QRA) of onshore process, chemical and petrochemical facilities. Safeti analyses complex consequences from accident scenarios, taking account of local population and weather conditions, to quantify the risks associated with the release of hazardous chemicals. Safeti allows you to quickly identify major risk contributors, allowing you to take action to mitigate those risks.
Baseline tool for quantitative risk assessment
Safeti Lite software offers a direct approach to conducting basic Quantitative Risk Analysis with an emphasis on traditional outputs of risk contours and FN curves.
Offshore safety and offshore QRA
Safeti Offshore is a game changer for process safety analysts in the offshore oil and gas industry. Built on DNV GL’s long history providing market leading tools and services in the oil and gas safety and regulatory compliance domain, Safeti Offshore brings together a broad spectrum of capabilities into a single world-leading QRA software tool tailored to the challenges posed by offshore installations and offshore safety. From parts counts and likelihood analysis to complex fire and explosion modelling, mustering and escape, Safeti Offshore provides efficient tools within a complete solution for offshore risk analysis.
RAM analysis for upstream oil and gas
Maros is an advanced RAM analysis (Reliability, Availability, Maintainability) tool specifically developed for the upstream oil and gas industry. It includes extensive features for modelling flow networks, maintenance strategies, typical upstream oil and gas operations, transport logistics and storage tanks.
Reliability modelling and maintainability analysis
Maros Lite is a cost-effective and entry-level solution for basic reliability studies and modelling to represent real life scenarios, allowing you to analyse and improve production efficiency. It is based on the Maros and Taro simulator.
Refinery design and petrochemical plant process
With Taro you can model complex process plant systems and make optimal decisions on refinery design, operation and maintenance based on quantitative performance analysis.