Application of Geophysical and Geochemical Techniques in Mineral Exploration
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 July 2024
Special Issue Editors
Interests: mining engineering; environmnetal 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 controlloing systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
We are excited to introduce a Special Issue showcasing the cutting-edge advancements and the latest research works in the field of mining engineering. Our articles will highlight the latest research into geophysical and geochemical techniques, extending from the prospecting stage to resource estimation and mine closure. Indeed, the aim of publishing this Special Issue is to showcase and emphasise how these techniques are revolutionising exploration efficiency, contributing to sustainable resource development, and reducing carbon emissions-related concerns resulting from mining activities. Geophysical and geochemical methods have been considered the most common tools in mineral exploration for several decades. For instance, various identified geophysical techniques, including geoelectrical, electromagnetic, magnetic, gravity, seismic, and ground penetration radar (GPR), have been applied in mineral exploration for several years to identify subsurface structures and the geometry of mineralization potential and estimate depths of mineral deposits.
Along with the geophysical methods, exploratory geochemical studies, dealing with the enrichment or depletion of the trace elements that have a genetic affinity to parent mineralisation (Kumar Haldar, 2018), play a critical role in mineral exploration. Whether you are an academic researcher, an industry geoscientist, or a mining professional, we cordially invite you to submit your original research, case studies, and reviews highlighting the latest breakthroughs and best practices related to geophysical and geochemical applications. Considering the increasing use of artificial intelligence (AI), machine learning (ML), and deep learning (DL) methods in mineral exploration, researchers studying the application of AI/ML/DL using exploration 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 100 words) can be sent to the Editorial Office for announcement on this website.
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
- data processing
- joint inversion methods
- geophysical and geochemical models’ integration
- mineral exploration
- environmental geophysics in mining engineering
- environmental geochemistry in mining engineering
- application of artificial intelligence techniques in mineral exploration
- Application of machine learning methods in mineral exploration.