The application of artificial intelligence (AI) has become inevitable in the petroleum industry.
In drilling and completion engineering, AI is regarded as a transformative technology that …

Operational risks are increasingly prevalent and complex to manage in organisations,
culminating in substantial financial and non-financial costs. Given the inefficiencies and …

Industrial processes are becoming increasingly large and complex, thus introducing
potential safety risks and requiring an effective approach to maintain safe production …

The kernel principal component analysis (KPCA) is widely used as a fault monitoring tool for
complex nonlinear chemical processes in recent years. The cumulative contribution rate that …

Accident precursors can provide valuable clues for risk assessment and risk warning.
Trends such as the main characteristics, common causes, and high-frequency types of …

Permeability is a crucial analytical variable in petrophysical parameters of reservoir rocks,
which is highly related to geo-energy exploration and evaluation. Conventional physics …

In order to ensure the long-term stable operation of a large-scale industrial process, it is
necessary to detect and solve the minor abnormal conditions in time. However, the large …

Deep learning-based process monitoring methods utilize the features extracted from deep
neural networks to perform fault detection and diagnosis. Traditional deep learning models …

Timely and accurate detection of abnormal working conditions can ensure stability, improve
production efficiency and reduce pollution of an industrial process. However, the production …

Gas kick occurs frequently during deep-water drilling operations caused by the lack of safe
margin between pore pressure and leakage pressure. The existing research is limited to gas …