Dale Russell, CTO, Talksum
We just got back from the Big Data Analytics for Oil & Gas Forum that took place in Houston, TX, where Talksum was asked to participate as both a speaker and as the conference chair. I want share insights and expand on the event’s theme – driving oil and gas exploration and production efficiency through harmonized data.
Speakers from Shell, Riss Energy, Halliburton Landmark Software & Services, Hess Corporation, and others reinforced the topic of harmonized data. Subjects ranged from cross-unit and cross-domain performance and data management, data accuracy, cloud computing, seismological processes, and case studies on how to harness the 2.7 zettabytes of data within the oil and gas digital universe
The forum started with a keynote from CIO Patrick McGinty, Riss Energy, who looked “ahead” at energy in the Big Data era. He delved into the strategies and tools that are changing the landscape of the energy industry. Patrick ended the session with an analysis of emerging trends in predictive analytics and cloud computing and exploration of the future of the industry under new technologies
Dwayne Williams, UNC Wells HSE – West Supervisor for Shell Oil Company, gave a case study that followed real-time data – from the field to corporate analytics. During the session, Dwayne showed how Shell improved field productivity and reduced risks using mobile devices and mobile form apps to improve health, safety, security, and environment (HSSE) data collection, and how they connected this data to the corporate analytics system.
Day 1 ended with my session on cross-domain data management for the oil and gas sector. In the session, I focused on the importance of ingesting different types of data from multiple data sets, including those from the well site, remote units, regional sites, headquarters, and at the real-time operation center (RTOC), and being able to format – or harmonize – the disparate data in real time, as well as enrich the data by correlating events with other external data sources. In a cross-domain scenario, the ingested data would “talk” to each other, and relevant parts would be intelligently routed to the appropriate real-time BI tools, dashboards, and respective databases at the well site, remote units, RTOC, and so on, for immediate action. In addition, pertinent parts of the data flow would be streamed to other cross domains such as health services, insurance companies, and the like, to minimize latency.”
On day 2, an interesting session was given by Riss Energy CEO Srik Soogoor, who discussed how cloud computing and Big Data are revolutionizing exploration and drilling. He looked at strategies and tools that are changing the landscape of the energy industry, at analyses of emerging trends in predictive analytics, and at the future of the industry under new and proposed government regulations.
The Big Data Analytics for Gas & Oil Forum brought with it an informative two days of introductions, workshops, presentations, discussions, and insights into Big Data analytics for oil and gas – highlighted by the need for harmonized data to drive oil and gas exploration and production efficiency.