OptiLay

OptiLay eliminates the conservatism associated with office based installation analysis by using realistic real-time measurements during its offshore simulations. It is based on the state-of-art desktop application, PipeLay, which is itself regarded as the superior tool of choice for pipeline installation analysis within the industry today.

OptiLay automatically interfaces with existing vessel systems, for example DP, MRU, WAVEX, to acquire real-time accurate estimates of offshore conditions, which are then applied to suitable PipeLay models during periodic automated analyses. This real-time approach to assessing actual lay conditions provides unique clarity in terms of aiding the offshore decision process.

OptiLay also offers a powerful prediction capability where the user can apply forecast conditions to their own set of “what if” analyses. Such an advanced feature helps maximise offshore productivity by accurately establishing an optimum timeframe for performing key operations, such as initial start-up or abandonment and recovery.

Key Features:

• Operates with a minimal level of user intervention while offshore with automatic vessel data acquisition, simulations and results storage
• Automated static and dynamic analyses providing various outputs including pipe stresses/strains, DNV local buckling checks and fatigue damage
• Solutions provided at regular configurable intervals
• Accurate estimation and recording of touchdown point locations without the need for ROVs
• Uses PipeLay as its model builder which allows for the inclusion of intricate scenarios, for example in-line structure installation
• Optimal vessel positioning guidance
• Clashing advice if existing structures are present
• 3D animation for illustrating seabed bathymetry
• Determination and cataloging of fatigue damage for all welds installed during a lay campaign
• Calibration of key parameters, such as pipe weight, drag coefficients, support friction, to reflect inherent uncertainty
• User controlled “what if” analyses to assess forecast conditions and so optimize decision processes