A method to predict heterogeneous glutenite reservoir permeability from nuclear magnetic resonance (NMR) logging-Reference-Cited by-同舟云学术

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A method to predict heterogeneous glutenite reservoir permeability from nuclear magnetic resonance (NMR) logging

Published:2021-03 Issue:6 Volume:14 Page:
ISSN:1866-7511
Container-title:Arabian Journal of Geosciences
language:en
Short-container-title:Arab J Geosci

Author:

Liang Zeliang,Cheng Zhiguo,Dong Xuemei,Hu Tingting,Pan Tuo,Jia Chunming,Guan Jian

Funder

Major National Science and Technology Projects

Publisher

Springer Science and Business Media LLC

Subject

General Earth and Planetary Sciences,General Environmental Science

Link

http://link.springer.com/content/pdf/10.1007/s12517-021-06840-x.pdf

Reference48 articles.

1. Abdullah M, Garrouch A (2019) A new approach for rock typing using dimensional analysis: a case study of carbonate reservoir. Paper SPE198026 presented at the SPE Kuwait Oil & Gas Show and Conference

2. Aifa T, Baouche R, Baddari K (2014) Neuro-fuzzy system to predict permeability and porosity from well log data: a case study of Hassi R’Mel gas field, Algeria. J Pet Sci Eng 123:217–229

3. Alam MM, Fabricius IL, Prasad M (2011) Permeability prediction in chalks. AAPG Bull 95(11):1991–2014

4. Amaefule JO, Altunbay M, Tiab D, Kersey DG, Keelan DK (1993) Enhanced reservoir description: Using core and log data to identify hydraulic (flow) units and predict permeability in uncored intervals/wells. Paper SPE26436 presented at the SPE Annual Technical Conference and Exhibition

5. Bust VK, Oletu JU, Worthington PF (2011) The Challenges for carbonate petrophysics in petroleum resource estimation. SPE Reserv Eval Eng 14(1):25–34

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4. Methods to identify near-source hydrocarbon-bearing potential reservoir using geophysical well logging data: A case study of the Triassic Chang 8 Formation in Pengyang Region, Southwestern Ordos Basin;Arabian Journal of Geosciences;2022-02

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