Application of Geophysical and Geochemical Techniques in Mining Engineering
A special issue of Minerals (ISSN 2075-163X). This special issue belongs to the section "Mineral Exploration Methods and Applications".
Deadline for manuscript submissions: 31 December 2025 | Viewed by 674
Special Issue Editors
Interests: mining engineering; environmental geophysics: environmental geochemistry: artificial intelligence (AI); mine water
Special Issues, Collections and Topics in MDPI journals
Interests: hydrogeology; mine water; environmental modelling; environmental geophysics; environmental geochemistry
Interests: mining engineering; ground controlling systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
We are excited to introduce a new Special Issue showcasing cutting-edge advancements and recent research regarding the application of geophysical and geochemical techniques in Mining Engineering. Indeed, the aim of publishing this Special Issue is to present and emphasize how these techniques are revolutionizing the efficiency of exploration and exploitation, contributing to sustainable resource development, and reducing the carbon emissions generated by mining activities. Geophysical and geochemical methods have been considered the most significant tools in mineral exploration for several decades. For instance, various identified geophysical techniques, including geoelectrical, electromagnetic, magnetic, gravity, seismic, and ground penetration radar, have been utilized to perform the identification of subsurface structures and the geometry of mineralization potential, estimate the depth of mineral deposits, and explore mining exploitation methods. In addition to geophysical methods, geochemical studies that address the enrichment or depletion of trace elements with a genetic affinity to parent mineralization (Kumar Haldar, 2018) play a critical role in mining engineering.
Whether you are an academic researcher, an industry geoscientist, or a mining professional, we invite you to submit original research, case studies and reviews highlighting the latest breakthroughs and best practices regarding geophysical and geochemical applications in Mining Engineering. Considering the increased application of artificial intelligence (AI), machine learning (ML) and deep learning (DL) methods in mining engineering, researchers studying the employment of AI/ML/DL in geophysical and geochemical methods are also welcome to submit their manuscripts.
Dr. Behshad Jodeiri Shokri
Prof. Dr. Faramarz Doulati Ardejani
Dr. Ali Mirzaghorbanali
Dr. Mehrdad Soleimani
Guest Editors
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. Minerals 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 2400 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
- geophysical and geochemical model integration
- mineral exploration methods
- mining exploitation techniques
- environmental geophysics in mining engineering
- environmental geochemistry in mining engineering
- application of AI techniques in data processing for geophysical and geochemical models
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