EconPapers    
Economics at your fingertips  
 

Application of A∗ algorithm for microstructure and transport properties characterization from 3D rock images

Eloisa Salina Borello, Costanzo Peter, Filippo Panini and Dario Viberti

Energy, 2022, vol. 239, issue PC

Abstract: Thorough comprehension of flow behavior in underground porous media is fundamental for several applications such as oil and gas production, Underground Gas Storage, CO2 storage, and Enhanced Geothermal Systems. Macroscale petrophysical parameters, as well as hydraulic parameters, are strongly linked to the microstructure of the rock.

Keywords: Reservoir; Porous media; Path-finding algorithm; Tortuosity; Permeability; Anisotropy (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544221023999
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:239:y:2022:i:pc:s0360544221023999

DOI: 10.1016/j.energy.2021.122151

Access Statistics for this article

Energy is currently edited by Henrik Lund and Mark J. Kaiser

More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:energy:v:239:y:2022:i:pc:s0360544221023999