Benefits of Automating Gas Lift Optimization for Oil & Gas
The objective of gas lift optimization is maximizing the current output from a well by addressing the relationship between oil production rate and gas injection rate. The key parameter describing this relationship is the marginal increment in oil production rate
Digital Twins: Ideas On Increased Diagnostics In Oil Fields & Platforms
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
Expert-Guided Machine Learning Gives Operators Value & Control
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.
Collaboration is Key with Expert-Guided Machine Learning in Your Digital Oilfield
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
Challenges That Occur With Expert-Guided Machine Learning In Your Digital Oilfield
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
Artificial Intelligence and Machine Learning: 101
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