Special Issue "Numerical Fluid Flow Simulation Using Artificial Intelligence and Machine Learning"
A special issue of Fluids (ISSN 2311-5521).
Deadline for manuscript submissions: closed (30 April 2019).
Prof. Shahab D. Mohaghegh
Department of Petroleum and Natural Gas Engineering, West Virginia University, 325B Mineral Resources Building, Morgantown, WV 26506, USA
Website | E-Mail
Interests: Artificial Neural Networks, Evolutionary Computing and Fuzzy Logic in earth science, Reservoir Engineering, Natural Gas Engineering, Simulation and Modeling
The massive computational footprint of numerical simulation models limits their practical use for objectives such as detail analyses, uncertainty quantification, and process optimization. To overcome such limitations, proxy models have been developed in the past several decades. The traditional approaches to developing proxy models include reduced order models (ROM) and statistical response surfaces.
Utilizing the pattern recognition capabilities of artificial intelligence and machine learning introduces a paradigm shift on how proxy models are developed. These smart proxy models accurately mimic the performance of highly complex numerical simulation models at speeds that are multiple orders of magnitude faster. Modelling fluid flow that is of high interest in many industries can immensely benefit from smart proxy modelling. The focus of this Special Issue is on the application of smart proxy modelling in computational fluid dynamics (CFD) and numerical reservoir simulation.
Prof. Shahab D. Mohaghegh
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 papers will be 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. Fluids is an international peer-reviewed open access quarterly 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 1000 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.
- Artificial Intelligence
- Machine Learning
- Numerical Simulation
- Reservoir Simulation
- Computational Fluid Dynamics (CFD)
- Proxy Modeling
- Smart Proxy