
Learning how to optimize across a high volume of wells is one of the key features of our Production Intelligence Solutions. Not too long ago we had the WTI oil prices below $40/barrel. At this time, producing more oil was not economically viable, so reducing the production costs through optimization

A major challenge has been to foster cooperation between two groups with such different skills and backgrounds, O&G operation and data science. Failure of many projects is due to failure of collaboration of these groups to understand one another to achieve shared objectives. Data science often thinks models can be

Regarding labeling in our solution, how can we get accurate labels to effectively train supervised models? EGML assumes event labels are often missing or incorrect. It recognizes that labels are easier to create using a platform that gives experts all the information
they need to review and capturing everything they

With Expert-Guided Machine Learning (EGML), even if models are deployed, they can still fail due to inadequate adoption and ineffective change management. If operators fail to take action, nothing happens. EGML helps operators build confidence in AI/ML models by involving them in all stages from training to production to ongoing

Our Expert-Guided Machine Learning approach leverages experts’ knowledge to power advanced analytics on the oilfield. Experts mark problems and solutions across well history and we use this labeled data to train models to detect and solve the same problems. Expert-Guided Machine Learning helps you label data across hundreds of wells

In Artificial Intelligence(AI) and Machine Learning (ML), a model replicates a decision process to enable automation and understanding. AI/ML models are mathematical algorithms that are “trained” using data and human expert input to replicate a decision an expert would make when provided that same information. Ideally, the model should also