Data Analytics:
Modern Techniques for Optimizing O&G Exploration & Production with Analytics:
How to accurately predict operating lifetime of wells
Date: Tuesday, 13th of November 2018
Speaker: Nick Shelton, SAS
Location: Bow Valley Club #370- 250, 6 Ave SW
Time: 11:30 AM - 1:00 PM
Cost:
$45 SPE Members, $55 Non-members, $15 Students
Abstract:
Today’s upstream problems have become too complex for traditional static analysis techniques. Unconventional reservoirs require new alternative methods better equipped to tackle the challenges faced by oil & gas engineers and scientists. The ability to uncover key predictors of shale oil production rates, determine the relationships between complex reservoir parameters and optimize operations for maximum efficiency is critical to the industry’s top producers.
Survival analysis is a technique popular for providing scientists and engineers’ insights into the occurrence of notable events in their data. This talk is designed to help you gain a better understanding of the methodology behind survival analysis and how it can be leveraged as an approach to improve an existing decline curve analysis (DCA) and reduce prediction error.
Speaker Bio:
Nick Shelton, P.Eng is a highly motivated professional with an affinity for data science. Nick supports technical customer development for SAS Institute Inc. as a JMP Systems Engineer where he assists clients to drive business and manufacturing process efficiencies through data exploration. Nick travels Canada hosting complimentary learning sessions to share industry best practices and demonstrate the benefits of leading-edge analytics.
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