In this webinar, learn how to streamline opportunity identification for field development planning, maximizing return on capital investments, shortening decision cycles, and lowering risks.

Successful reservoir management requires an up-to-date backlog of opportunities that an asset team can pursue to meet expected production targets (such as re-perforations, drilling new wells, sidetracks and more). This involves a combination of geological knowledge, reservoir behavior, production history, completion information, and multi-disciplinary expertise. The process of gathering and analyzing data, identifying opportunities and then vetting each one of them is labor-intensive, and generally takes several months. When looking at alternative scenarios by considering different hypotheses, little time and resources are left to validate multiple candidates rigorously, which decreases confidence in the decisions being made.

Our presenters will talk about a movement towards digitalization and automation in reservoir management, and how a fully automated, collaborative cloud-native solution is revolutionizing the way asset teams work by applying advanced computational algorithms, AI, and data mining techniques to multi-disciplinary data. Additionally, they will explain how AWS cloud technologies enable digitalization, automation, and the new way of work.

Read more about the agenda and our presenters from QRI, AWS and Emerson on the registration page: