Methods for quantification of mass emissions from leaking process equipment when using optical imaging for leak detection

Lev-On, Miriam; Taback, H.J.; Epperson, D.; Siegell, J. H.; Gilmer, Lee; Ritter, Karin

doi:10.1002/ep.10102

Cited by 8 publications

(3 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Moreover, leak detection and repair data in the US indicate that the real effect of large leaks is that 90% of the repairable emissions arise from 0.1% of the components. 40 IR-DIAL measurements have been compared to calculated emissions of non-methane volatile organic compounds (NMVOCs) from an onshore stabilisation plant. 36 The site receives crude oil from the local onshore well sites, stabilises the crude and separates liquid petroleum gas (LPG) and natural gas components and then exports the products by pipeline.…”

Section: Case Study 1: Dial Compared To Calculated Emission Fluxes On...mentioning

confidence: 99%

Infrared differential absorption Lidar (DIAL) measurements of hydrocarbon emissions

et al. 2011

View full text Add to dashboard Cite

We report the application of an infrared (IR) differential absorption Lidar (DIAL) system (also capable of ultra violet measurements) built at the National Physical Laboratory (NPL), UK, to field measurements of total site emissions (controlled and fugitive) from petrochemical and landfill installations. The validation of the IR-DIAL was carried out via a series of controlled field experiments including comparison to GC analysis and tests against controlled methane releases from a test stack, all detailing agreements on the order of ±20%. In volatile organic compound (VOC) measurements at a UK petrochemical site it was found that the American Petroleum Institute's methodology of the time for calculating the emitted flux underestimated by a factor of 2.4. Also, in a similar field trial it was found that scaling traditional point measurements at easily accessible flanges and valves to represent all flanges and valves on a site led to an underestimation by a factor of 6. In addition to petrochemical examples we also report field measurements from a landfill site to demonstrate the advantageous of the DIAL technique for monitoring area emission sources. In this case study it was found that active (still being filled) cells resulted in significantly greater VOC emission rates (30 kg h(-1)) than closed (≤ 10 kg h(-1)).

show abstract

Section: Case Study 1: Dial Compared To Calculated Emission Fluxes On...mentioning

confidence: 99%

Infrared differential absorption Lidar (DIAL) measurements of hydrocarbon emissions

et al. 2011

View full text Add to dashboard Cite

show abstract

“…Several optical imaging based methods are proposed in the literature for VOC leak detection as a cost-effective alternative [3,4]. In these approaches, infra-red (IR) cameras operating at a predetermined wavelength band with strong VOC absorptions are used for leak detection.…”

Section: Introductionmentioning

confidence: 99%

Volatile organic compound plume detection using wavelet analysis of video

Töreyi̇n

Çetin

2008

2008 15th IEEE International Conference on Image Processing

View full text Add to dashboard Cite

A video based method to detect volatile organic compounds (VOC) leaking out of process equipments used in petrochemical refineries is developed. Leaking VOC plume from a damaged component causes edges present in image frames loose their sharpness. This leads to a decrease in the high frequency content of the image. The background of the scene is estimated and decrease of high frequency energy of the scene is monitored using the spatial wavelet transforms of the current and the background images. Plume regions in image frames are analyzed in low-band sub-images, as well. Image frames are compared with their corresponding lowband images. A maximum likelihood estimator (MLE) for adaptive threshold estimation is also developed in this paper.

show abstract

“…Recently, infrared (IR) video cameras have been investigated for VOC leak detection as a cost-effective alternative [2,3]. The approach of using IR cameras for leak detection is often referred * Corresponding author.…”

Section: Introductionmentioning

confidence: 99%

Automatic alignment of infrared video frames for equipment leak detection

Zhou¹,

Zeng²

2007

Analytica Chimica Acta

View full text Add to dashboard Cite

Petroleum refining and petrochemical industries start using infrared (IR) cameras to detect volatile organic compounds (VOC) leaking out of process equipment. However, further quantitative processing of these video image data or automatic recognition of VOC plumes are hindered by unaligned video frames owing to the slight vibrations of the camera. An automatic method is developed to align the IR video frames as a preprocessing procedure for other possible video processing methods. The alignment method is based on a two-dimensional spatial Fourier transform. The accuracy can reach fractional pixels in estimation of translational shift and 1-2 • for rotational shift. Temporal Fourier transform of actual industrial tests of IR videos is performed with both unaligned and aligned video frames. The results indicate that only after the alignment of the video frames, the camera motion interferences on VOC plume identification can be eliminated or minimized, and the VOC plume can be identified through investigating the characteristic flickering frequency power in the temporal Fourier transform. This alignment method provides a useful tool for IR or other optical video image data preprocessing purposes.

show abstract

Methods for quantification of mass emissions from leaking process equipment when using optical imaging for leak detection

Abstract: A cost-effective fugitive emission reduction program should focus on locating and repairing the very high leakers. Although these components (such as valves, pumps, compressors, flanges, etc.)

Cited by 8 publications

References 3 publications

Infrared differential absorption Lidar (DIAL) measurements of hydrocarbon emissions

Infrared differential absorption Lidar (DIAL) measurements of hydrocarbon emissions

Volatile organic compound plume detection using wavelet analysis of video

Automatic alignment of infrared video frames for equipment leak detection

Contact Info

Product

Resources

About