Integra’s repeatable approach to problem solving and expertise in Data Science and Engineering has resulted in 100% success rates to date.
Digital Hub ™ accelerates our data engineering and model development approach, while our in-house experts guide the data science teams. Our agile project plan ensures milestones and tasks are well defined and managed throughout the engagement.
The following sample use cases were delivered in just a few days to few weeks.
Pipeline Failure Risk Simulation
Developed a modern Monte-Carlo Markov-Chain (MCMC) simulation model to simulate the probability of pipeline failure based on CSA Z662 Standard
Use machine learning to uncover hidden trends in electricity consumption and predict the future cost of electricity
Developed and successfully deployed Clustering and Anomaly Detection models to identify anomalous behaviours, such as channeling, in water treatment systems
Pump failure mode prediction and pattern recognition using machine learning
Modelled tool inspection and dig data to dynamically analyze the historical runs on various pipelines by vendors, and tools which improved tool and vendor selection process and dig planning
Health & Safety
Identify trends, correlations, anomalies, and classify incidents for better understanding of incident precursors
Performed statistical analysis on pipeline flow and operators shift data; Identified features in data that impact the flow based on operator experience and performance, resulting in significant increase in daily flow