3D Mineral Prospectivity Modeling Applied to Mineral Deposits
A special issue of Minerals (ISSN 2075-163X). This special issue belongs to the section "Mineral Exploration Methods and Applications".
Deadline for manuscript submissions: 28 February 2026 | Viewed by 617
Special Issue Editors
Interests: implicit modeling; 3D prospectivity modeling; machine learning; 3D GIS
Special Issues, Collections and Topics in MDPI journals
Interests: 3D prospectivity modelling; spatial analysis; 3D geological modeling; numerical simulation
Special Issue Information
Dear Colleagues,
Mineral prospectivity modeling has become an indispensable tool in mineral deposit exploration, particularly in the era of big data and advancements in three-dimensional (3D) geological modeling. As global demand for deep-seated mineral resources continues to rise, the development and application of innovative methods to improve the efficiency and accuracy of deep exploration are becoming increasingly crucial. When applied to mineral prospectivity, 3D modeling techniques provide valuable insights into the spatial distribution of economically viable resources, particularly at deposit-to-mine scales. The combination of machine learning, deep learning, and other data-driven approaches with traditional geological methods has the potential to revolutionize the understanding and exploration of mineral deposits in 3D space.
This Special Issue, titled “3D Mineral Prospectivity Modeling Applied to Mineral Deposits,” seeks to present the latest advancements in the use of 3D geological modeling to enhance mineral prospectivity analysis. We aim to showcase cutting-edge research that integrates geological, geophysical, geochemical, and drilling data to predict the occurrence of mineral deposits in 3D geological space.
We invite submissions that feature original scientific research related to 3D mineral prospectivity modeling. Topics of interest include, but are not limited to, the following:
- Development of novel 3D mineral prospectivity models;
- Integration of geospatial, geophysical, and geochemical data for 3D mineral prospectivity mapping;
- Applications of machine learning and deep learning in 3D mineral prospectivity modeling;
- Case studies of mineral deposit discoveries using 3D modeling techniques;
- Advances in visualization techniques for 3D mineral systems;
- Incorporation of structural geology and fault systems into 3D prospectivity models;
- Three-dimensional geological modeling techniques for mineral prospectivity mapping.
We look forward to your contributions, which will help to advance the field and deepen our understanding of mineral deposit exploration through cutting-edge 3D modeling approaches.
Dr. Hao Deng
Dr. Jin Chen
Dr. Zhiqiang Zhang
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
- 3D geological modeling
- mineral prospectivity mapping
- machine learning of 3D geosciences data
- deep learning for deep mineral exploration
- 3D integration of geophysical and geochemical data
- structural geology and fault modeling
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
