ReviewSensors (Basel, Switzerland)2021
Optical Fibre-Based Sensors for Oil and Gas Applications.
Review in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
11 citing papers in PubMed, 69 citations in OpenAlex.
- A π-Configuration Plasmonic Dual Surface Plasmon Resonance Fiber Optic Sensor for Multi-Analyte Detection.Sensors (Basel, Switzerland) · 2026Article
- SOI-Structured Piezoresistive Pressure Sensor with Integration of Temperature Sensor for Downhole Applications.Sensors (Basel, Switzerland) · 2026Article
- Measurement of Strain and Vibration, at Ambient Conditions, on a Dynamically Pressurised Aircraft Fuel Pump Using Optical Fibre Sensors.Sensors (Basel, Switzerland) · 2025Article
- Fiber-Optic Pressure Sensors: Recent Advances in Sensing Mechanisms, Fabrication Technologies, and Multidisciplinary Applications.Sensors (Basel, Switzerland) · 2025Review
- Recent advances in optical fiber-based gas sensors utilizing light-induced acoustic/elastic techniques.Photoacoustics · 2025Article
- Decoupling of Mechanical and Thermal Signals in OFDR Measurements with Integrated Fibres Based on Fibre Core Doping.Sensors (Basel, Switzerland) · 2025Article
- Supervised Deep Learning for Detecting and Locating Passive Seismic Events Recorded with DAS: A Case Study.Sensors (Basel, Switzerland) · 2024Article
- Review
- The Proper Use of Fibre-Optic Sensors to Monitor the Condition of the Steam Boiler Hanger Rods.Sensors (Basel, Switzerland) · 2023Article
- A Methodology for In-Well Multiphase Flow Measurement with Strategically Positioned Local and/or Distributed Acoustic Sensors.Sensors (Basel, Switzerland) · 2023Article
- Application of Dual-Frequency Self-Injection Locked DFB Laser for Brillouin Optical Time Domain Analysis.Sensors (Basel, Switzerland) · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Oil and gas (O&G) explorations moving into deeper zones for enhanced oil and gas recovery are causing serious safety concerns across the world. The sensing of critical multiple parameters like high pressure, high temperature (HPHT), chemicals, etc., are required at longer distances in real-time. Traditional electrical sensors operate less effectively under these extreme environmental conditions and are susceptible to electromagnetic interference (EMI). Hence, there is a growing demand for improved sensors with enhanced measurement capabilities and also sensors that generates reliable data for enhanced oil and gas production. In addition to enhanced oil and gas recovery, the sensing technology should also be capable of monitoring the well bore integrity and safety. The sensing requirements of the O&G industry for improved sensing in deeper zones include increased transmission length, improved spatial coverage and integration of multiple sensors with multimodal sensing capability. This imposes problems like signal attenuation, crosstalks and cross sensitivities. Optical fibre-based sensors are expected to provide superior sensing capabilities compared to electrical sensors. This review paper covers a detailed review of different fibre-optic sensing technologies to identify a feasible sensing solution for the O&G industry.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.