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Magnetochemistry
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Nuclear Magnetic Resonance (NMR) in the Petroleum Industry and Porous...
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Nuclear Magnetic Resonance (NMR) in the Petroleum Industry and Porous Media

A special issue of Magnetochemistry (ISSN 2312-7481). This special issue belongs to the section "Magnetic Resonances".

Deadline for manuscript submissions: 30 June 2026 | Viewed by 804

Special Issue Editor

Dr. Xinmin Ge

E-Mail Website
Guest Editor
School of Geosciences, China University of Petroleum (East China), Qingdao 266580, China
Interests: petrophysics and rock physics; low-field NMR principles and application; formation evaluation and well logging analysis

Special Issue Information

Dear Colleagues,

As a powerful nondestructive testing and analysis tool, nuclear magnetic resonance (NMR) technology has deeply penetrated the entire upstream and downstream supply chain of the petroleum industry. From microscopic petrophysical characterization, fluid identification, and quantitative analysis to macroscopic visualization of displacement processes and dynamic monitoring of oilfield development, NMR technology, with its unique capabilities, provides indispensable insights. With the rapid development of low-field portable NMR equipment, high-speed imaging algorithms, and multi-physics coupled experimental techniques, the application boundaries of NMR are continuously expanding, providing new solutions to address cutting-edge challenges such as unconventional oil and gas reservoir evaluation, enhanced oil recovery, and geological storage of carbon dioxide.

This Special Issue aims to bring together the latest research results, technological breakthroughs, and forward-looking reviews from researchers and engineers worldwide on the application of NMR in the petroleum industry and related fields such as porous media. We sincerely invite submissions from experts and scholars from academia and industry to showcase how NMR technology is driving the petroleum industry and porous media towards greater precision, efficiency, and environmental friendliness, and to explore its future development trends and challenges.

Dr. Xinmin Ge
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Magnetochemistry is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2200 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • NMR Logging
  • low-field magnetic resonance
  • transverse relaxation time
  • pore size distribution
  • permeability
  • movable fluid
  • fluid typing
  • unconventional reservoirs
  • core analysis
  • EOR

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Published Papers (2 papers)

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Research

16 pages, 8444 KB  
Article
Continuous Characterization and Classification of Carbonate Pore-Throat Structure Using an Artificial Neural Network
by Jue Hou, Lirong Dou, Lun Zhao, Yepeng Yang, Xing Zeng and Tianyu Zheng
Magnetochemistry 2026, 12(5), 53; https://doi.org/10.3390/magnetochemistry12050053 - 7 May 2026
Viewed by 201
Abstract
Pore-throat structures in a carbonate reservoir were classified into ten petrophysical facies representing coarse, medium, or fine throat types based on Mercury Injection Capillary Pressure (MICP) data from 77 core samples, directly reflecting distinct flow capacities. Using Nuclear Magnetic Resonance (NMR) data from [...] Read more.
Pore-throat structures in a carbonate reservoir were classified into ten petrophysical facies representing coarse, medium, or fine throat types based on Mercury Injection Capillary Pressure (MICP) data from 77 core samples, directly reflecting distinct flow capacities. Using Nuclear Magnetic Resonance (NMR) data from 20 samples, an artificial neural network (ANN) model was developed with four conventional logs, namely Gamma Ray (GR), Deep Laterolog Resistivity (RD), Density (DEN), and Compensated Neutron Log (CNL), as inputs to predict the T2 spectrum continuously. A cumulative pore-throat size distribution matching method was then used to transform predicted T2 spectra into capillary pressure curves. The resulting pore-throat parameters show excellent agreement with core measurements, with relative errors for key parameters—such as median pore-throat radius (R50) and sorting coefficient (Sp)—below 15%. This approach extends discrete core data to continuous wellbore profiles, enabling pore-throat prediction and facies classification in intervals lacking MICP data. It effectively identifies dominant flow channels and tight interlayers, with facies validated by thin-section petrography, providing a robust basis for evaluating highly heterogeneous carbonate reservoirs. Full article
(This article belongs to the Special Issue Nuclear Magnetic Resonance (NMR) in the Petroleum Industry and Porous Media)
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11 pages, 10468 KB  
Communication
Nuclear Magnetic Resonance Investigation of Hydrogen Displacement in Tight Sandstone
by Xinwei Shi, Zhichao Geng and Yanfeng Sheng
Magnetochemistry 2026, 12(5), 50; https://doi.org/10.3390/magnetochemistry12050050 - 5 May 2026
Viewed by 204
Abstract
Hydrogen (H2) storage in subsurface formations has recently gained attention as a promising large-scale energy storage solution. Although previous studies have revealed distinct displacement behaviors between H2 and other gases such as nitrogen (N2) and carbon dioxide (CO [...] Read more.
Hydrogen (H2) storage in subsurface formations has recently gained attention as a promising large-scale energy storage solution. Although previous studies have revealed distinct displacement behaviors between H2 and other gases such as nitrogen (N2) and carbon dioxide (CO2) in high-permeability sandstones, the mechanisms governing H2 migration in tight formations remain largely unexplored. To provide experimental observations that may help improve the understanding of H2 migration in tight reservoirs, we conducted H2 flooding experiments on a tight sandstone sample from the Ordos Basin under pore fluid pressures of 0.5, 1, and 2 MPa. Dynamic core flooding processes were monitored using a low-field nuclear magnetic resonance (NMR) analysis system. The capillary number (Nc) in this work ranged from 1.7 × 10−9 to 3.4 × 10−9, indicating a capillarity-dominated flow. H2 saturation in the tight sandstone increased from 41.9% to 53.3% and then to 57.7% with increasing pore fluid pressure. Under a pore fluid pressure of 0.5 MPa, H2 initially displaced water in small pores (T2 < 10.5 ms), leading to prolonged fluctuations in water content over 136 min before significant displacement occurred in large pores (10.5 ms < T2 < 6579.3 ms). In contrast, at a pore fluid pressure of 2 MPa, the water in large pores was more significantly impacted, with a marked decrease in water saturation observed after 8 min of flooding. These findings provide direct experimental evidence of pressure-dependent and pore-scale selective displacement patterns of H2 in tight sandstone, offering new insights into the fluid dynamics that control hydrogen injectivity and storage efficiency in low-permeability reservoirs. Full article
(This article belongs to the Special Issue Nuclear Magnetic Resonance (NMR) in the Petroleum Industry and Porous Media)
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