Improving Subsurface Characterisation with ‘Big Data’ Mining and Machine Learning

Improving Subsurface Characterisation with ‘Big Data’ Mining and Machine Learning

Large databases of legacy hydrocarbon reservoir and well data provide an opportunity to use modern data mining techniques to improve our understanding of the subsurface in the presence of uncertainty and improve predictability of reservoir properties. A data mining approach provides a way to screen...

Full description

Bibliographic Details
Main Authors: Rachel E. Brackenridge, Vasily Demyanov, Oleg Vashutin, Ruslan Nigmatullin
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Energies
Subjects:
big data
unsupervised learning
supervised learning
multivariant analysis
machine learning
hydrocarbon exploration
Online Access:https://www.mdpi.com/1996-1073/15/3/1070

Internet

https://www.mdpi.com/1996-1073/15/3/1070

Similar Items