SPE Online Education
Data Science and Analytics applications in Petroleum Engineering – A Kick Start in Python
Recorded On: 05/19/2021
Over the past decades, it has been obvious that engineers with coding and scripting skills outstand well above in their daily jobs.
Applying data analytics technologies to solve challenges in various petroleum engineering areas including production data wrangling, predictive modeling and visualization are key to find opportunities for improving oilfield asset economic value (e.g. optimize well locations, optimize reservoir management, optimize production and injection targets, maximize recovery factor, etc.)
This talk is a basic overview on the motivations to use Python to automate the PE daily tasks, as an alternative to Excel and some traditional engineering analytic applications. Few case examples are presented to introduce Python scripting realm. In the end, there is an outline on how the petroleum engineer of the future would be using data analytics and workflow automation to be more efficient.
This webinar is categorized under the Data Science and Engineering Analytics, Reservoir, Production and Operations, Completions and Drilling technical disciplines.
All content contained within this webinar is copyrighted by Luigi Saputelli and its use and/or reproduction outside the portal requires express permission from Luigi Saputelli.
Dr. Luigi Saputelli
Reservoir Engineering Expert Advisor
Luigi Saputelli is a Reservoir Engineering Expert Advisor with 30 years of experience as reservoir, drilling and production engineer in PDVSA, ADNOC, Hess and Halliburton.
Saputelli is a researcher, lecturer, and active volunteer in the Society of Petroleum Engineers (SPE) where he served as JPT editor (2012-2020), Production and Operations Advisory Board since 2010, founding member of Real-time Optimization Interest Group and Petroleum Data-driven Analytics technical sections. He is recipient of the 2015 SPE International Production and Operations Award.
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