Once validated models are created and they match what operators want, the final step is to deploy the models on live data. This is when we actually deliver value in real-time to help operators address problems and make changes quickly. All too often, model training and deployment are two very

One of the most difficult challenges of digital oilfield projects is requiring people who would not choose to work together, to collaborate for success. Operators and Data Scientists tend to be very different people, and these types of projects push them to work together, typically under fire from management to

One of the most frequently quoted problems in the media is the shortage of data science and AI capabilities in terms of trained people and practical know-how. But this is changing with more emphasis on data science and analytics education. The next challenge is finding solvable problems that can actually

There are many terms and definitions thrown around in the AI and ML space that it can be confusing even to trained data scientists. We have used many of these terms around our website. It may be helpful to define these terms to ensure we’re clear on all of the

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

In AI/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 reveal the rationale behind its

  Man vs. Machine, is this true?  Do you find your engineers & operators give the most attention to the same fraction of wells each week, though they manage tens or hundreds more? Are you taking steps to integrate Advanced Analytics into your operations but wondering how to maximize the

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