Author Description

Wellbore integrity is a key issue surrounding the life of oil and gas drilling, production, and abandonment. It focuses 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 provided for well integrity monitoring. It is one of the innovative methods of oil and gas well integrity detection that can achieve the visualization analysis of big data through reliable signal analysis methods, such as wellbore flow parameters obtained by sensors and real-time casing monitoring. Therefore, the traditional and unconventional methods used to detect and assess well integrity are the focus of this issue. In particular, the processing method, calculation standard, and visual analysis of well monitoring data are used in well integrity assessments. 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 through detailed simulations.