A successful HSSE culture means the right safety processes must be inherently built into engineering and manufacturing processes. Safety standards and structural integrity rules are automatically used and embedded into all design processes. This reduces risk in products and services. Engineering knowledge and the library of best practice is enhanced and improved with each project, with automatic updates to standards. This ensures a continuous improvement of safety in design.
Improved Efficiency Through Search and Reuse
A project schedule is improved with saved time, as engineering hours are reduced from weeks to minutes. The most time-consuming engineering, design and modelling processes in the FEED or detailed-design stages are automated, with previous models able to be searched and reused, increasing efficiency. Resource capacity in the customer organization and supply chain is liberated, allowing more time to be spent on creative innovation and value-added activities.
Internal Insight for Marginal or Small Fields
The connected software applications improve internal insight, with relevant data across historical or ongoing projects quickly retrievable. Unnecessarily long delivery lead-times and costs can be avoided, as existing stock or product solutions already designed and qualified to the customer’s needs are readily identified. Using standard products already qualified can improve the economic viability of small or marginal fields.
Quality, Transparency and Traceability
Up-to-date design and supplier data is readily available to all stakeholders. The secure web applications give verified teams access to technical data, documents and 3D models for an asset or project anywhere in the world.
A chain of unbroken digital information automatically integrates all supplier models, specifications and life cycle information with the team modelling the facility. This increases quality, accuracy, and mitigates downstream issues. Work processes are simplified and streamlined removing multiple rounds of document control and information management within a process.