A. Ambrus, P. Ashok, D. Ramos, A. Chintapalli, A. Susich, T. Thetford, B. Nelson, M. Shahri, J. McNab, M. Behounek: “Adopting Physical Models in Real-Time Drilling Application: Wellbore Hydraulics,” paper SPE-191797-MS, presented at the SPE Liquids-Rich Basins Conference – North America, 5-6 September, Midland, Texas, 2018.
The first step towards drilling optimization and automation is a reliable data acquisition and handling system. This includes receiving and processing different frequency data across multiple platforms and ensuring proper data quality. Once we implement such a platform, we can build different advisory solutions to improve drilling efficiency and move towards drilling automation. The developed Drilling Intelligence Guide (DIG) already enabled us to achieve the aforementioned goal and access different data (from contextual to high frequency) in real-time.