Processing gas leads to the generation of carbon dioxide which can lead to a trip or shutdown of the plant, costing Spirit Energy £3.6 million annually. Merkle applied artificial intelligence to sensor data to create a predictive model, giving plant operators valuable early warning of problems.
The Oil and Gas Technology Centre (OGTC) wanted to use a data-driven approach to find a better way of identifying overlooked pay zones. It approached Merkle to help utilise the vast amount of data available and build an effective model. The data was bought to life using a data visualisation tool, creating an interactive scatterplot of the wells.