Where it all began
CPEC.ai methodology is based on proven track record
CPEC.ai journey started in 1994 on Troll phase1 gas processing plant, one of the largest
capital projects ever. With complex operator and EPCs joint ventures, it soon became evident that ability to ‘control’ the project was impossible due to several factors, such as:
multiple EPCs, contractors, fabrication yards operating at various locations
utilising global supply market, where each supplier was using a different production systems
disconnected and inconsistent data, systems using various data structures and models
inconsistent reporting formats, structures, templates
siloed functional approach to engineering design, procurement and construction
geographical barriers between project teams
top down planning, lacking the ability to understand the impact of supply performance until it was too late; always leading to a reactive response.
It quickly became evident that the ability to ‘control’ the project was diminishing fast, and that the current control systems were totally inadequate. A new solution had to be found to understand ‘exactly what was going on with the project’. Management were looking for a way to unravel this complexity to enable them to make proactive ‘decisions’.
Having developed most of the key global contractors’ integrated construction control systems, a new analytics algorithm was designed to import specific data from all the systems involved. This data was then cleansed, reformatted and was fed into newly written core analytics software to create a unified and single version of the project performance.
The effectiveness of the system and the extraordinary insights it provided allowed the project management team to make pro-active decisions, which ultimately allowed the project to be delivered on time and within budget.
With excellent results, this methodology was further tested on two other major projects with even better results.