Innovations in Distributed Fiber Optic Sensors, Thermal Imaging Cameras, MEMS Inclinometers, and Condition Monitoring Sensors for the Oil and Gas Sector

  • ID: 4536358
  • Report
  • Region: Global
  • Frost & Sullivan
1 of 3

This issue of Sensor TechVision TOE highlights innovations in sensors for the oil and gas sector, including distributed fiber optic temperature sensors, cameras with passive infrared sensing capability, pipeline and wellbore sensing, MEMS inclinometers for directional drilling.

Sensor TechVision Opportunity Engine (TOE) captures global sensor-related innovations and developments on a weekly basis. Innovations are directed toward developing smart and intelligent sensors with functionalities beyond sensing. Research focus areas include: low power sensors (energy harvesting), industrial automation sensors (M2M, vision sensor), ubiquitous sensor (WSN, sensor fusion), smart sensors (wearables, quantified self), high sensitivity and smaller size (MEMS, nanosensors), and improved security (CBRNE, terahertz). The need for low power, smaller, lighter sensors with enhanced performance attributes and minimal false alarms is driving innovations in the sensors space.

The Sensors and Instrumentation cluster covers innovations pertaining to technologies such as wireless sensors and networks, energy harvesting, haptics and touch, MEMS and nanosensors, Terahertz, ubiquitous/smart sensors, CBRNE, quantified-self, sensor fusion, M2M communications, and drones.

Note: Product cover images may vary from those shown
2 of 3

1. Recent Developments in Sensors for Oil and Gas Applications

  • Distributed Temperature Sensing for Pipeline Monitoring and Leakage Detection
  • Security Cameras for the Oil and Gas Industry
  • High Fidelity Dynamic Sensing for Pipelines and Wellbores
  • MEMS Inclinometers in Drilling Applications
  • Condition Monitoring Using Wireless Sensors
  • Industry Contacts
Note: Product cover images may vary from those shown
3 of 3

Loading
LOADING...

4 of 3
Note: Product cover images may vary from those shown
Adroll
adroll