Advances in Drilling and Excavation Theories and Technologies for Petroleum, Coal Seam and Sustainable Resources

A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Energy Systems".

Deadline for manuscript submissions: 23 June 2026 | Viewed by 149

Special Issue Editors

Department of Marine Oil and Gas Engineering, School of Safety and Ocean Engineering, China University of Petroleum-Beijing, Beijing 102249, China
Interests: intelligent drilling; reservoir characterization; geological modeling

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Guest Editor
School of Low-Carbon Energy and Power Engineering, China University of Mining and Technology, Xuzhou 221116, China
Interests: gas extraction; coal spontaneous combustion and its prevention; coupling modelling

Special Issue Information

Dear Colleagues,

The recovery of traditional energy and sustainable energy plays a significant role in supporting the daily life of human beings. Improving drilling and excavation theories and technologies could greatly reduce costs, as well as increase efficiency and safety. Novel drilling and excavation processes of energy and resources, and original physical and artificial intelligent models, are of high interest as they offer more accurate, efficient, and adaptive solutions to complex problems.

This Special Issue, entitled “Advances in Drilling and Excavation Theories and Technologies for Petroleum, Coal Seam and Sustainable Resources”, seeks the submission of high-quality contributions focusing on innovative research findings that enhance the recovery of energy resources, including experiments, physical and artificial intelligent model applications, and field practices related to the drilling and excavation of petroleum, coal seam, and sustainable resources. Topics of interest include, but are not limited to, the following:

  • Novel well trajectory design and control, drilling operation, and wellbore stability methods;
  • Enhanced interpretation models for downwhole sensing data;
  • High efficiency method and technology of increasing permeability of prorous media;
  • Numerical simulation of physical behaviour of fluid flow and geomechanics in reservoir or coal seam;
  • Advanced data physics, predictive analytics, and machine learning models for intelligent drilling;
  • Multi-use wells from hydrocarbon production to geothermal energy or carbon storage.

Dr. Zhihui Ye
Prof. Dr. Tongqiang Xia
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

  • well trajectory design
  • drilling operation
  • coal seam excavation
  • wellbore stability
  • fluid flow in porous media
  • permeability evolution
  • machine learning model
  • geothermal energy
  • carbon sequestration and storage

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