Topic Editors

School of Petroleum Engineering, China University of Petroleum (East China), Qingdao 266580, China
Dr. Jie Wu
Laboratory of Beam Technology and Energy Materials, Advanced Institute of Natural Sciences, Beijing Normal University, Zhuhai 519087, China
Dr. Min Qin
Shock and Vibration of Engineering Materials and Structures Key Lab of Sichuan Province, Southwest University of Science and Technology, Mianyang 621000, China

Advances in Oil and Gas Wellbore Integrity, 2nd Edition

Abstract submission deadline
30 July 2026
Manuscript submission deadline
30 September 2026
Viewed by
105

Topic Information

Dear Colleagues,

Wellbore integrity is a key issue relevant for the whole life cycle of oil and gas drilling, production, and abandonment. Once the integrity of the wellbore is destroyed, it may cause shut-in and safety accidents, even seriously endangering the existence of production wells. With the development of oil fields, well integrity plays an important role in reducing the production risk and ensuring the life of oil and gas wells. The application of real-time monitoring technology to continuously evaluate chemical and mechanical factors affecting wellbore integrity is an effective way to ensure wellbore safety in a timely manner.

This second edition is based on the successful first edition and continues to focus on advanced techniques applied to well integrity testing and assessment to achieve safe and efficient production. With the development of digitalization and intelligence in the oil and gas industry, new solutions are available for well integrity monitoring. One of the innovative methods of oil and gas well integrity detection is to realize visualization analysis of big data through reliable signal analysis methods, such as wellbore flow parameters obtained using sensors and real-time casing monitoring.

Therefore, traditional and unconventional methods used to detect and assess well integrity are the focus of this topic. In particular, the processing method, calculation standard, and visual analysis of well-monitoring data are used in well integrity assessment. Factors may include the reliability of wellbore flow models, effective information extraction from real-time wellbore monitoring data, and coupled evaluation models involving all barrier elements of wellbore integrity. This research can be based on practical experience in the field or detailed simulations.

Dr. Kai Wang
Dr. Jie Wu
Dr. Min Qin
Topic Editors

Keywords

  • shock and vibration
  • acoustic method
  • electromagnetic method
  • optical method
  • nuclear technology
  • fluid mechanics analysis methods
  • solid mechanics analysis methods
  • thermodynamic analysis method
  • other advanced simulation methods

Participating Journals

Journal Name Impact Factor CiteScore Launched Year First Decision (median) APC
Applied Sciences
applsci
2.5 5.3 2011 18.4 Days CHF 2400 Submit
Energies
energies
3.0 6.2 2008 16.8 Days CHF 2600 Submit
Sensors
sensors
3.4 7.3 2001 18.6 Days CHF 2600 Submit

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