Multifractal characteristics on pore structure of Longmaxi shale using nuclear magnetic resonance (NMR)
Authors:
- Na ZhangNZNa Zhang
- Xinyue WangXWXinyue Wang
- Shuaidong WangSWShuaidong Wang
- Ruochen WangRWRuochen Wang
- Jiaqi WuJWJiaqi Wu
- Zheng LiZLZheng Li
- Yu SongYSYu Song
Top Cited Papers
- 24 July 2024
- journal article
- research article
- Published by Elsevier in Geoenergy Science and Engineering
- Vol. 241
Abstract
No abstract availableKeywords
Funding Information
- Fundamental Research Funds for the Central Universities
- Foundation for Innovative Research Groups of the National Natural Science Foundation of China
This publication has 33 references indexed in Scilit:
- Multifractal Characteristics and Genetic Mechanisms of Pore Throat Structures in Coal Measure Tight SandstoneNatural Resources Research, 2022
- Accurate characterization of coal pore and fissure structure based on CT 3D reconstruction and NMRJournal of Natural Gas Science and Engineering, 2021
- Multifractal analysis of coal pore structure based on NMR experiment: A new method for predicting T2 cutoff valueFuel, 2021
- Advances in low-field nuclear magnetic resonance (NMR) technologies applied for characterization of pore space inside rocks: a critical reviewPetroleum Science, 2020
- Tradeoffs in water and carbon footprints of shale gas, natural gas, and coal in ChinaFuel, 2020
- Characterizations of full-scale pore size distribution, porosity and permeability of coals: A novel methodology by nuclear magnetic resonance and fractal analysis theoryInternational Journal of Coal Geology, 2018
- Fractal characterization of pore–fracture in low-rank coals using a low-field NMR relaxation methodFuel, 2016
- Nanoscale pore morphology and distribution of lacustrine shale reservoirs: Examples from the Upper Triassic Yanchang Formation, Ordos BasinJournal of Energy Chemistry, 2015
- Petrophysical characterization of coals by low-field nuclear magnetic resonance (NMR)Fuel, 2010
- Particle-size distribution in soils: A critical study of the fractal model validationGeoderma, 2006