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Advanced Drilling Technology

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Earth Sciences".

Deadline for manuscript submissions: 20 March 2025

Special Issue Editors


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Guest Editor
Department of Geoscience and Petroleum, Faculty of Engineering, Norwegian University of Science and Technology, S. P. Andersens veg 15A, 7031 Trondheim, Norway
Interests: drilling engineering; managed pressure drilling

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Guest Editor
Centre for Applied Dynamics Research, School of Engineering, University of Aberdeen, Aberdeen AB24 3FX, UK
Interests: mathematical modelling; nonlinear systems; nonlinear oscillations; chaotic and stochastic dynamics; stability and control and design methodology; mechanical vibrations; vibro-impact systems; rotary and percussive drilling; design of drilling modules; dynamics and control of smart structures; dynamics of machine tools and cutting processes; dynamics and fatigue; nonlinear dynamics for design; precision ultrasonic machining; friction dynamics and tribology; machine tool design; CAD/CAM; application of numerical methods in engineering; renewable energy; energy harvesting; underwater acoustics and fluid-structure interactions

Special Issue Information

Dear Colleagues,

The rapid advancements in digitalization and automation are transforming the field of drilling engineering. With the integration of Machine Learning (ML) and Artificial Intelligence (AI), real-time data management and post-analysis in drilling operations are becoming more efficient, accurate, and cost-effective. This Special Issue aims to explore the cutting-edge technologies that automate the entire drilling process, from planning and preparing drilling programs (such as hydraulic design, casing design, and cementing) to automating various drilling sequences. By leveraging these innovations, it is possible to enhance remote operations, improve safety, reduce costs, and minimize the carbon footprint of drilling activities.

We are pleased to invite you to contribute to this Special Issue. We welcome original research articles and reviews that address the following themes:

  1. Digitalization in drilling engineering;
  2. AI and ML applications in real-time data management;
  3. Automation of drilling sequences;
  4. Environmental impact reduction through technological innovation.

Dr. Behzad Elahifar
Prof. Dr. Marian Wiercigroch
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. Applied Sciences is an international peer-reviewed open access semimonthly 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

  • drilling technology
  • drilling automation
  • intelligent drilling

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Published Papers

This special issue is now open for submission.
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