“Let everyone use, don’t restrict to any process engineer or operation engineer, give everybody access including business planners, let everyone use it. Because the beauty of this is that it will open the eyes of the importance of Artificial Intelligence in Oil and Gas.”
Manager Head Strategy & Performance Health Safety & Environment, Gas and New Energy
As one of the largest oil and gas producers in South East Asia, it is critical to maintain reliable and efficient production levels. However, with one of their ageing offshore platforms highly dependent on continuous gas lift / injection optimization for production, reliability and efficiency were suffering. The gas lift compressor was having difficulty running continuously without tripping, resulting in the oilfield being unable to meet production targets. The technical team had difficulty trouble shooting the issue and looked to adopt innovative predictive analytics to assist with critical data insights.
VROC was approached to provide innovative AI and Machine Learning predictive analytics to minimise production loss. VROC assisted the reliability team in extracting valuable insights from their existing data (35,500 sensor tags). Firstly we assisted in forecasting the health of the gas compressors, we were then able to identify the time to failure through our predictions, lastly we assisted in finding the root cause of the surface line integrity issues.
The VROC predictive analytics platform assisted the oil platform operators in their objectives of improved trip avoidance and damage avoidance. Significant savings were achieved through the minimisation of production loss, along with the following key metrics;
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The efficient deployment, continuous retraining of models with live data and monitoring of model accuracy falls under the categorisation called MLOps. As businesses have hundreds and even.
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