Optimizing E&P decision making through Developing better Data Architecture to Accelerate Analytics Capabilities

Upstream O&G still needs to accelerate progress within its data architecture infrastructure to fully optimize the analytics capacity across all engineers’ teams. To best support the adoption and scale of real-time analytics and increased visibility across E&P data silos need to be broken down and companies adopt an integrated view of data across all disciplines, regions and operators.

Now is the time to modernize data architecture and further the implementation of new data analytics tools, ML and AI to enable better interrogation, interpretation and optimization of data as a business asset.

In its 4^th year, Applied Data Analytics Upstream returns to Houston, re-uniting data & engineering teams with business leaders to collaborate around how to maximize the value from upstream data to optimize production with new technology, minimize cost and re-shape E&P processes.

Through 2-tracks learn how to build the infrastructure to best manage the data, and the tools and technology that is revolutionizing the opportunities within advanced analytic. Through actual use cases see demonstrations on how analytics applications are improving the upstream industry – this conference is your essential guide to enabling the digital future.