IR gas cloud imaging in oil and gas applications: immunity to false stimuli

Naranjo, Edward; Baliga, S.; Park, John; Bernascolle, Philippe

doi:10.1117/12.882566

Cited by 3 publications

(2 citation statements)

References 7 publications

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“…Infrared imaging gas detection uses infrared gas images to identify the type and concentration of target gases from a distance, displaying the spatial distribution of gas clouds and the background. However, this method relies on the temperature difference between gases and the background, resulting in limited detection sensitivity [2,3].…”

Section: Introductionmentioning

confidence: 99%

Raman lidar for remote sensing of gas

Duan,

Li,

Yang

et al. 2024

Advanced Fiber Laser Conference (AFL2023)

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Raman lidar is an active remote sensing technology that has been widely applied in fields such as laser atmospheric transmission, global climate prediction, aerosol radiation effects, and atmospheric environment. Raman lidar has the ability to measure target distances and provide spatial depth resolution. It offers high sensitivity and a long detection range without the need for cooperative targets. In this study, a pulsed laser with a wavelength of 355 nm and a single-pulse energy of 350mJ was used as the light source. The spectrometer system employed a blazed grating and a narrowband filter. Signal acquisition was performed using a 450 mm diameter Cassgrain telescope, and a single-photon detector was utilized to enhance the extraction and detection of Raman signals. Outdoor telemetric measurements of dimethyl methylphosphonate (DMMP) gas were conducted. In the vehicle moving mode, target gases could be detected up to a distance of 1.8 km. In the stationary mode, target gases could be detected up to a distance of 5 km.

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Section: Introductionmentioning

confidence: 99%

Raman lidar for remote sensing of gas

Duan,

Li,

Yang

et al. 2024

Advanced Fiber Laser Conference (AFL2023)

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“…The uncooled focal plane array (FPA) contains 384×272 pixels and its NETD is approximately 10 mK. The Second Sight system is a versatile sensing instrument, capable of detecting a variety of combustible and industrial gases [4]. Telops has developed dynamic multispectral imaging systems which allow synchronized acquisition on 8 channels, at a high frame rate, using a motorized filter wheel.…”

Section: Introductionmentioning

confidence: 99%

Detecting unknown gas clouds with multispectral imagery based on spectral angle matching

Wang

et al. 2023

Conference on Infrared, Millimeter, Terahertz Waves and Applications (IMT2022)

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The fields of safety production, environmental monitoring, public safety, and other areas all benefit greatly from the use of gas detection technologies. The infrared image can represent the spatial distribution of the gas cloud and the background, allowing for long-distance and non-contact detection during hazardous chemical accident rescue. One of the major challenges in gas detection based on infrared imaging is how to choose and gather the spectral information of the gas. It determines the properties of the complete imaging system, including its complexity, the kinds of gases that may be detected, and the sensitivity of the detection. In this paper, a gas detection system based on multispectral infrared imaging was designed, which used short pass and long pass filters to separate light. It was composed of imaging optical system, uncooled focal plane detector, filter wheel and data acquisition and processing system. The rotating filter wheel was used to separate the radiation of the object to obtaining images with different spectral information. Using image processing techniques like image subtraction and spectral angle mapping, the diffusion zone of a gas was estimated. The identified gas cloud was color-mapped in the infrared image. The infrared image had a resolution of 640 × 512, and the time from gas leakage to warning was less than two seconds. The working band of the system was 6.5-14.5 μm, and the real time detection of NH3, SF6, CH4, SO2 was realized.

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Band optimization of passive methane gas leak detection based on uncooled infrared focal plane array

Jin

et al. 2018

Appl. Opt.

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Current methane gas leak detection technology uses infrared imaging in the medium wave (MW) or long wave (LW) bands, essentially applying cooled infrared detectors. In this study, a simplified three-layer radiative transfer model is adopted based on methane gas detection theory, considering background radiation, atmospheric infrared absorption, gas absorption, and emission characteristics to analyze the contrast of methane gas thermography in different infrared bands. The analysis results suggest that under certain conditions, the 6.6-8.6 μm LW band provides higher contrast compared to the 3-5 μm MW band. The optimal imaging wavelength band is selected according to imaging contrast advantages and disadvantages, and infrared optical systems and infrared filters are designed and optimized. We build a passive methane gas leak detection system based on uncooled infrared focal plane array detectors. By collecting gas images under different conditions, the imaging detection capabilities for methane gas leaks in the MW and LW bands in a laboratory environment are compared. Finally, the developing trends in methane gas detection technology are analyzed.

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IR gas cloud imaging in oil and gas applications: immunity to false stimuli

Cited by 3 publications

References 7 publications

Raman lidar for remote sensing of gas

Raman lidar for remote sensing of gas

Detecting unknown gas clouds with multispectral imagery based on spectral angle matching

Band optimization of passive methane gas leak detection based on uncooled infrared focal plane array

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