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Emerging Advances in Petrophysics: Porous Media Characterization and Modeling of Multiphase Flow

descriptionPublicationkeyboard_double_arrow_right Article , Journal 17 Jan 2019 Saudi Arabia Publisher:MDPI AGJournal:Energies, volume 12, page 282 (eissn: 1996-1073,

Authors: Jianchao Cai; Shuyu Sun; Ali Habibi; Zhien Zhang;

doi: 10.3390/en12020282

handle: 10754/631097

Emerging Advances in Petrophysics: Porous Media Characterization and Modeling of Multiphase Flow

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Abstract

With the ongoing exploration and development of oil and gas resources all around the world, applications of petrophysical methods in natural porous media have attracted great attention. This special issue collects a series of recent studies focused on the application of different petrophysical methods in reservoir characterization, especially for unconventional resources. Wide-ranging topics covered in the introduction include experimental studies, numerical modeling (fractal approach), and multiphase flow modeling/simulations.

Country

Saudi Arabia

Related Organizations

China University of Geosciences
China (People's Republic of)
The Ohio State University
United States
University System of Ohio
United States
China University of Geosciences
China (People's Republic of)
King Abdullah University of Science and Technology
Saudi Arabia

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Keywords

Technology, multiphase flow, T, fractal porous media, petrophysics, Petrophysics, Fractal porous media, Unconventional reservoirs, Multiphase flow, unconventional reservoirs

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	9
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%