Description
Southwestern Energy's focus on learning as applied to land-based drilling challenges is explored. Drilling data is examined as an asset to the organization; specifically, the logistics of data asset acquisition and retention, and the potential to improve overall drilling operations. A brief explanation of drilling data acquisition followed by an overview of technologies involved within data acquisition, transmission, storage, visualization, and mining is included with special attention given to industry standards including WITS, WITSML, and PPDM. Finally, a few thoughts about Southwestern Energy's drilling data vision are shared.
Mark Reynolds brings 30+ years of experience in operations-centric software, real-time data and knowledge solutions, data, knowledge and critical path innovation. He is a contributing author for energy industry and computer science magazines and teaches at Lonestar College. Systems such as: proactive pump-jack pumping systems to high speed digital signal processing systems to multi-dimensional oilfield data processing. Teams have included small and agile systems groups, interdisciplinary mission avionics groups, and industry leading proactive predictive analytics, case based reasoning, and data mining.