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

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

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.

Suggested Citation

  • Salina Borello, Eloisa & Peter, Costanzo & Panini, Filippo & Viberti, Dario, 2022. "Application of A∗ algorithm for microstructure and transport properties characterization from 3D rock images," Energy, Elsevier, vol. 239(PC).
    • Handle: RePEc:eee:energy:v:239:y:2022:i:pc:s0360544221023999
    DOI: 10.1016/j.energy.2021.122151
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    References listed on IDEAS

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    1. Cui, Guodong & Pei, Shufeng & Rui, Zhenhua & Dou, Bin & Ning, Fulong & Wang, Jiaqiang, 2021. "Whole process analysis of geothermal exploitation and power generation from a depleted high-temperature gas reservoir by recycling CO2," Energy, Elsevier, vol. 217(C).
    2. Francesca Verga, 2018. "What’s Conventional and What’s Special in a Reservoir Study for Underground Gas Storage," Energies, MDPI, vol. 11(5), pages 1-22, May.
    3. Cai, Jianchao & Zhang, Zhien & Wei, Wei & Guo, Dongming & Li, Shuai & Zhao, Peiqiang, 2019. "The critical factors for permeability-formation factor relation in reservoir rocks: Pore-throat ratio, tortuosity and connectivity," Energy, Elsevier, vol. 188(C).
    4. Sheppard, Adrian P. & Sok, Robert M. & Averdunk, Holger, 2004. "Techniques for image enhancement and segmentation of tomographic images of porous materials," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 339(1), pages 145-151.
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