Using data science to find new solutions to old problems

Problem solving is at the heart of our business. Our technically curious data scientists and engineering experts thrive on finding solutions to our customers’ business challenges. ‍

Shutterstock 141766612

A data-driven approach

Data science has the potential to uncover solutions to problems quicker and more effectively than ever before.

We take a data-driven approach to solving some of the most challenging problems facing the oil and gas industry today using data science, machine learning, artificial intelligence and engineering expertise.

A new perspective

Typically, in the oil and gas industry we have approached our problems through an engineering lens. Afterall, engineering is about understanding what is happening, framing a problem and finding solutions. Data science is the same.

Our data science-led studies help to approach problems from a new perspective by uncovering the valuable information that is hidden within our customers’ existing data.

Types of challenges we can help to tackle

  • Oil in Water – reveal the key factors that are contributing to good and bad oil in water, anticipate and predict when bad oil in water may occur and identify specific actions that can minimise your environmental impact. Read the case study here.
  • Emissions – save Mwatts, divert fuel gas to export, reduce diesel costs, reduce EU ETS costs and identify opportunities to optimise the plant.
  • Safety – quantify the risks posed by human behaviours offshore; reveal unique insights within asset and HSE data and identify remedial actions and interventions. Read the case study here.
  • Asset Diligence – understand the effectiveness of existing maintenance regimes, quantify the current health/risk for your asset; reveal opportunities to improve efficiency and reduce cost.
  • System Start-Up - using data to reveal new insights and identify optimum start-up sequencing to limit start-up attempts, avoid maintenance costs and increase system uptime.

Signup to our Newsletter