Special Issue "Sensing in Oil and Gas Applications"
Deadline for manuscript submissions: closed (31 December 2019).
Interests: intelligent robotics; networked robotics; computational intelligence; human¬–machine interaction; nanomanipulation
Interests: sensors; monitoring; clean technology
Sensing technologies have been widely adopted in the oil and gas industry in order to monitor various processes in petroleum production, from exploration, Enhanced Oil Recovery (EOR), well drilling, well completion, pigging, fracking, and refining, to decommissioning. Different modalities, including temperature, pressure, vibration, and strain/stress, are required to sense and monitor continuously in order to guarantee integrity of oil and gas production, storage and transport infrastructure onshore and offshore. Thus, the safety and reliability of oil production can be assured. Various advanced sensing techniques have been developed to satisfy the sensing requirements under high-pressure-high-temperature (HPHT) evnironments in oil and gas applications in recent decades. Recent advances in computer technology, including artificial intelligence, machine learning, augmented reality, Internet of Things (IoT), big data, cloud computing, blockchain technology and so on, together with advanced sensing techniques will definitely faciliate better monitoring, security and management of oil and gas industry with higher productivity and reduced cost and casualities. This Special Issue encompasses a broad range of state-of-the-art sensing techniques and applications in oil and gas industry.Topics of interest include (but are not limited to):
- Temperature Sensing
- Pressure Sensing
- Seismic Sensing
- Hydrocarbon Sensing
- Flow Measurement
- Corrosion Detection
- Distributed and Multimodal Sensing
- Signal Conditioning in HPHT evnironments
- AI/Machine Learning based Sensor Interrogation
- Sensing in HPHT wells
- Sensing in Enhanced Oil Recovery
- Logging While Drilling (LWD) and Measurement While Drilling (MWD)
- Vision based Non-contact Sensing
- Non-destructive Testing of Petrochenical Pipes and Tanks
- AI/Machine Learning based Fault Detection
- Structural Health Monitoring of Offshore Structures
- Sensing in robotic systems for offshore/subsea applications
- Wireless Sensor Networks for Remote monitoring
- Subsea Sensing
Dr. Wai-Keung Fung
Dr. Radhakrishna Prabhu
Manuscript Submission Information
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