Multifractal analysis of the heterogeneity of nanopores in tight reservoirs based on boosting machine learning algorithms

Multifractal analysis of the heterogeneity of nanopores in tight reservoirs based on boosting machine learning algorithms

Exploring the geological factors that affect fluid flow has always been a hot topic. For tight reservoirs, the pore structure and characteristics of different lithofacies reveal the storage status of fluids in different reservoir environments. The size, connectivity, and distribution of fillers in d...

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Bibliographic Details
Main Authors: Guan Li, Changcheng Han, Zizhao Zhang, Chenlin Hu, Yujie Jin, Yi Yang, Ming Qi, Xudong He
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-06-01
Series:Frontiers in Earth Science
Subjects:
multifractal
low-pressure nitrogen gas adsorption
high-pressure mercury intrusion
pore structure
boosting machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/feart.2023.1200913/full

Internet

https://www.frontiersin.org/articles/10.3389/feart.2023.1200913/full

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