Our comprehensive integrity engineering services enable you to leverage data and effectively use analytics and modeling to proactively manage risk, assess reliability, and schedule maintenance.
Data-Driven Analytics and Modeling
Using proactive planning to avoid costly, reactive expenditure
We analyze and correlate data to uncover patterns that can be used to build predictive models quantifying the probability of failure. We use decades of pipeline inspection data to develop the algorithms and analytical methods used to generate optimized asset management programs.
Optimize expenditure and eliminate waste
Reduce inspection and maintenance requirements
Support proactive planning
Forecast costs and production availability
When decisions are based on calculations and statistical analysis, you can easily identify impediments or deficiencies in current maintenance regimes. This knowledge can also enable you to better anticipate required expenditure—even before an issue arises.
Additional insight enables a calculation of the effectiveness and return on the effort you dedicate to the upkeep of each of your assets. Adopting analytics and modeling to evaluate programs means we can provide you with optimized scopes, rather than plans based purely on a baseline schedule.