In the recent April 2020 Journal of Petroleum Technology article, Upstream Digitalization is Proving Itself in the Real World, the author wrote about “Using the Cloud To Turn Big Data Into Smart Data” and how Digital Twins are being used
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.
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
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
When using data science, labeling events that occur in the field within the system is critical. With accurate labels and comprehensive well data, the raw materials are then available to train AI/ML models. But these raw materials need to 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.