Modeling, Control, and Optimization of Drilling Techniques
A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Process Control and Monitoring".
Deadline for manuscript submissions: 30 October 2024 | Viewed by 72
Special Issue Editors
Interests: artificial intelligence; parameter optimization; risk monitoring; controlled pressure drilling; KPI analysis
Special Issues, Collections and Topics in MDPI journals
Interests: machine learning; drilling techiques; well control; mulitphase flow; water jet
Interests: PDC bit; rock breaking; hot dry rock; numerical simulation
Special Issues, Collections and Topics in MDPI journals
Interests: geothermal energy development; carbon capture, utilization and storage (CCUS); energy storage; multi-objective optimization
Special Issue Information
Dear Colleagues,
Drilling is a crucial engineering component of oil and gas development, which is a dynamic complex system with multi-nonlinear couplings, such as wellbore multi-phase flow, drill string mechanics, wellbore stability, and rock breaking drilling. As oil and gas drilling expands into ultra-deep, deepwater, and unconventional areas, this nonlinear system becomes more difficult to characterize. How to model, optimize, and control the drilling process accurately and efficiently is the key to scientific decision making and the construction of drilling. The characterization, analysis, and decision making of drilling processes through classical simulation or emerging artificial intelligence, digital twin, and other technologies are the focus of this Special Issue. This Special Issue aims to promote research on the modeling, control, and optimization of drilling processes, and to promote the development of oil and gas drilling technology.
Dr. Zhaopeng Zhu
Dr. Chi Peng
Dr. Xianwei Dai
Dr. Gaosheng Wang
Dr. Yong Zheng
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
- intelligence drilling
- parameter optimization
- risk pre-warning
- wellbore multiphase flow
- machine learning
- well control
- energy storage
- multi-objective optimization
- rock breaking, numerical simulation
