Drilling Optimization, Risk and Uncertainty Reduction, and Future Workforce Education Using Big Data Analysis

Recorded On: 02/22/2017

Oil and gas operators are progressively adopting novel sensor and data-streaming technologies and their powerful data analytics capabilities in their continuous quest to improve drilling efficiency and remove risk and uncertainty. In this presentation, it is shown how operators partnered with the drilling automation research group (RAPID) at the University of Texas at Austin to develop a workflow for big data analysis and visualization. The objectives were to maximize the value derived from surface and downhole data, establish an analysis toolkit, and train students on data analytics—a necessary job function of any future drilling engineer. The operators provided data sets, business and technical objectives, and guidance for the project, while a multi-disciplinary group of undergraduate and graduate students piloted an analysis workflow. The students developed methods to: 1) understand and clean the data; 2) structure, combine, and condense information; 3) visualize, benchmark, and interpret the data, as well as derive key performance indicators (KPIs); and 4) automate these processes. Students investigated bottom hole assembly (BHA) and directional drilling performance using a combination of auto-generated visuals (e.g., BHA designs, annotated time vs depth curves) and newly developed tools (e.g., tortuosity, 3D well trajectory plots combined with operational data). Methods for 'push a button' investigations of mechanic specific energy (MSE), vibration, torque and drag were also developed by calculating specific KPIs from the raw measurement data. The analysis work itself coupled with the attempt to improve the workflow processes served as a meaningful and highly effective way to identify significant improvement opportunities for the operators, and at the same time educate students and prepare them to be the “drilling engineers of the future” with proficiency in data analytics.

This webinar is categorized under the Drilling discipline.

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Dr. Eric van Oort

Speaker

Dr. van Oort holds a PhD in Chemical Physics from the University of Amsterdam, and held a variety of senior technical and managerial roles over a 20-year period with Royal Dutch Shell. He joined UT Austin in early 2012 to return to his passion for teaching and R&D as tenured Professor in Petroleum Engineering. Dr. van Oort is a co-Principal Investigator of the Offshore Energy Safety Institute (OESI), is the co-founder of two start-up companies (Genesis RTS and R5 Automation) and is CEO of his own consulting firm (EVO Energy Consulting). At UT, he runs one of the largest drilling R&D groups in academia, with 15 graduate students, 10+ undergraduate researchers, 6 full-time research scientists and additional support staff. He is the director of the RAPID (Rig Automation and Performance Improvement in Drilling) consortium. He is an SPE Distinguished Lecturer and SPE Distinguished Member. His areas of expertise include: complex well construction, drilling automation, real-time monitoring (RTM), drilling optimization, rock-fluid interactions and wellbore geomechanics, drilling fluid design, cementing & zonal isolation, hydraulic fracturing and associated water management.

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Webinar
02/22/2017 at 9:30 AM (EST)   |  90 minutes
02/22/2017 at 9:30 AM (EST)   |  90 minutes Scheduled for 90 minutes.
Certificate
0.15 CEU credits  |  Certificate available
0.15 CEU credits  |  Certificate available CEU Credit