Domain Expertise, Deep Learning and Cloud: How to Build Powerful Workflows for Exploration

Digital transformation in general emphasizes technology and migration to the cloud. However, once the most important technical questions are resolved, the focus should be shifted to the users since their adoption and incorporation of new tools into everyday work will measure the success of digital transformation. One of the most time-consuming and important tasks in exploration is interpretation of seismic data. Therefore, E&P companies and software providers have put much efforts into solving this problem. Deep learning has received a lot of attention due to its ability to efficiently recognize patterns in large and complex data. However, to create value for oil companies, deep learning solutions should become an integral part of workflows. Interactive training allows to combine domain expertise of geoscientists and algorithms themselves to ensure adoption of the deep learning technology, high accuracy and confidence in the results. Cloud architecture should be flexible and extensible. Efficiency and flexibility must be supported by a distributed compute framework that will act on workflows instead of data.