... Abstract Accurate pipeline leak detection is critical for ensuring safety, operational efficiency, and environmental sustainability in offshore oil and gas operations. Traditional methods, such as pressure-based monitoring and manual inspections, often fail to detect small or gradual leaks...

... differentiating between pay and non-pay zones from eight independent variables such as MD, TVDSS, ZONE, VSH, RT, PHIT, SW and K. Secondly, based on five planned horizontal wells, individual resistivity distribution maps generated for each well to estimate the maximum depth of detection for deep azimuthal...

... ). Additionally, inadequate methods for early detection and classification of critical downhole drilling undesirable events ( Krygier et al. 2020 ). Another possible factor is related to detecting kicks and lost circulation during transient periods, which remains a significant challenge that has not yet been...

... equipment and reacts upon it. Neuron 5 also predicts anomalies and initiates proactive actions to prevent unexpected failures or shutdowns. It ensures equipment integrity and safety by leveraging anomaly detection, diagnostics and forecasting, performance monitoring as well as production, energy...

...Sand Monitoring The sand monitoring phase involved the development of a user-friendly dashboard for both Platform 1 and Platform 2 wells, providing petroleum engineers with a comprehensive interface to visualize sand occurrences and make informed decisions. The sand detection model...

... after Electrical Submersible Pumps (ESP) are failed by adopting run to fail approach. This lead to decrease in well availability and increase in down time which impacts water injection cluster capacity in giant matured onshore oil field. The objective of this solution is to early detect the failures...

.... upstream oil & gas china government machine learning asia government artificial intelligence conditioning deep learning optimization frequency neural network reservoir characterization identification integrated subtle fault prediction technique axis anticline detection expanded abstract...

... Abstract Automatic under suspended load detection system is a term for an image processing method which is used to identify compliance and safety aspect of crane or lifting & rigging operations in drilling & completion activities especially under suspended load for line of fire...

... to as the last line of defense. Some workers might not comply with safety policies or refuse to wear the PPE. To overcome the manual safety checks and compliance of employees, in this paper we propose an AI-powered computer vision automation solution leveraging the state of the object detection model. Computer...

... Abstract The gas influxes occur frequently during the exploration in the South China Sea, which can pose severe risks to well control strategies. The traditional detection method is to analyze the mud-log of mud tanks, which is slow and there is always a time-lag between the gas influxes...

... the cause of these events. The use of this tool for early kick detection has been successful in various basins around the globe. Although the relationship of the drilling events with the bottomhole overbalance is known, their combined usage in this type of single tool provides a quick and novel approach...

... number and length of subsea tiebacks face new challenges in term of data acquisition, monitoring, analysis, and remedial actions. Passive leak-detection methods commonly used in the industry have been successful with some limitations in that they often cannot detect small leaks and seeps. In addition...