New Model for Absolute Permeability Prediction in Coal Samples: Application of Modified Purcell Model to Mercury Injection Pressure and Nuclear Magnetic Resonance Data-Reference-Cited by-同舟云学术

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New Model for Absolute Permeability Prediction in Coal Samples: Application of Modified Purcell Model to Mercury Injection Pressure and Nuclear Magnetic Resonance Data

Published:2023-06-02 Issue:23 Volume:8 Page:21120-21132
ISSN:2470-1343
Container-title:ACS Omega
language:en
Short-container-title:ACS Omega

Author:

Chang Yanhai¹²^ORCID,Zhang Kun¹^ORCID,Zhang Yipeng³

Affiliation:

1. State Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mines, Anhui University of Science and Technology, Huainan 232001, China

2. China Coal Reservoir Laboratory of National Engineering Research Center of CBM Development & Utilization, China University of Geosciences, Beijing 100083, China

3. Yangliu Coal Industry Company Limited, Huaibei Mining Group, Huaibei 235000, China

Funder

National Natural Science Foundation of China

Scientific Research Foundation for High-level Talents of Anhui University of Science and Technology

Publisher

American Chemical Society (ACS)

Subject

General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acsomega.3c02035

Reference54 articles.

1. Permeability evolution of coal subjected to triaxial compression based on in-situ nuclear magnetic resonance

2. A novel permeability prediction model for coal based on dynamic transformation of pores in multiple scales

3. Characteristics and origins of coal cleat: A review

4. Tight gas sands permeability estimation from mercury injection capillary pressure and nuclear magnetic resonance data

5. Anisotropy of volume change and permeability evolution of hard sandstones under triaxial stress conditions

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