Advances in Numerical Modeling for Deep Water Geo-Environment
A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Environmental and Green Processes".
Deadline for manuscript submissions: closed (15 March 2024) | Viewed by 24481
Special Issue Editors
Interests: numerical simulation of deep water geo-environment; geotechnical modeling in offshore geotechnical engineering; physics-informed neural network method in energy engineering
Special Issues, Collections and Topics in MDPI journals
Interests: multi-physics coupling numerical simulation of petroleum reservoir; geohazard related to gas hydrate; numerical simulation methods of coupled fluid-solid problem
Interests: flow assurance; hydrate-based technology
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Numerical modeling is often used to accurately predict complex deep-water geo-environmental changes and solve soil-structure interaction problems. The methods used to develop these models improve the reliability of predictions and can solve geotechnical multi-scale, multi-component, multi-phase, and multi-field problems. Recently, innovative artificial intelligence algorithms (e.g., machine learning, deep learning, and reinforcement learning) have been combined with numerical modeling, resulting in techniques that are practical for industrial applications. These processes have also accelerated deep-water modeling digitalization.
For this Special Issue, we are seeking original and novel contributions regarding research advances or well-documented applications of numerical modeling for deep-water geo-environmental changes and soil-structure interaction problems. Submissions should focus on the reliability of numerical results. Physical and numerical models should be detailed enough for readers to reproduce the results. The appendix should include verification or validation of numerical codes/models, domain size, and mesh sensitivity analysis.
Topics of interest for this Special Issue include:
- Constitutive models;
- Numerical simulation;
- Physics-informed neural network;
- Proxy modeling;
- CO2 sequestration;
- Deep water energy production;
- Soil-structure interaction modeling;
- Artificial island and offshore slope stability analysis.
Dr. Xiang Sun
Dr. Yizhao Wan
Dr. Lunxiang 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. Processes 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
- numerical modeling
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