Real-Time Natural Gas Leak Detection of Offshore Platforms Using an Infrared Camera and Faster R-Cnn Technique

2021 ◽  
Author(s):  
Jihao Shi ◽  
Guoming Chen ◽  
yuan zhu
Author(s):  
Jihao Shi ◽  
Guoming Chen ◽  
Yuan Zhu

Abstract This study aims to introduce the integrated approach, namely the integration of the Faster R-CNN technique and Optical gas imaging (OGI) for real-time natural gas leak detection of offshore platforms. OGI is used to record large number of leak videos which are essential to develop the desirable Faster R-CNN model. Due to the fact that the natural gas leak incidents are rare on the offshore platforms, it is difficult to record large number of the real-world leak videos by using the OGI. This study firstly proposes the strategy to simulate the OGI by the CFD tool. The proposed strategy could generate large number of virtual infrared images. Based on the infrared images, the Faster R-CNN approach is trained and its performance is tested. A case study of deep-water drilling platform is conducted. The results demonstrate the feasibility of the proposed strategy as well as the competing performance of the Faster R-CNN approach for the real-time automatic natural gas leak detection of offshore platforms.


2011 ◽  
Vol 44 (1) ◽  
pp. 57-60 ◽  
Author(s):  
Naoya Kasai ◽  
Chihiro Tsuchiya ◽  
Takabumi Fukuda ◽  
Kazuyoshi Sekine ◽  
Takeru Sano ◽  
...  

Author(s):  
Aysha Al Hosani ◽  
Fatima Alhmoudi ◽  
Mozah Almurshidi ◽  
Mahmoud Meribout

2021 ◽  
Author(s):  
Dulu Appah ◽  
Victor Aimikhe ◽  
Wilfred Okologume

Abstract The undetected gas leak, also referred to as fugitive gas emissions, are produced from natural gas infrastructure during operational activities. If not monitored, this undetected gas leakage can lead to undesirable economic loss of natural gas from installed infrastructures and are often accompanied by toxic air pollutants that typically pose safety and public health concerns. The efficient quantification of gas leaks from natural gas infrastructure value chain is still largely inadequate. Several studies have repeatedly opined that the actual rate of leaks from natural gas infrastructure is often higher than the documented estimates. The latter is largely dependent on assumptions that rely on inadequate data. This study reviewed most of the existing methods implemented to detect and quantify gas leaks in natural gas infrastructure by assessing the techniques based on the amount of leak detected compared to the amount of gas produced from such facilities. The study illustrates both the problem of methane leakage and the opportunities for instantaneous reduction from natural gas transmission facilities. Furthermore, this review provides a detailed account of the various analytical models and instrumentation-based research performed to identify and quantify gas leak detection. The study opined that the uncertainties associated with efficient quantification of natural gas leak rates demonstrate the need for innovative approaches or processes to identify and quantify leak rates from natural gas infrastructure.


2005 ◽  
Author(s):  
Dawn Lenz ◽  
Raymond T. Lines ◽  
Darryl Murdock ◽  
Jeffrey Owen ◽  
Steven Stearns ◽  
...  

2020 ◽  
Author(s):  
Cumaraswamy Vipulanandan ◽  
Ahmed Aldughather ◽  
Guru Panda ◽  
George Wong

2020 ◽  
Vol 135 ◽  
pp. 106780 ◽  
Author(s):  
Jihao Shi ◽  
Yuanjiang Chang ◽  
Changhang Xu ◽  
Faisal Khan ◽  
Guoming Chen ◽  
...  

2020 ◽  
Vol 54 (18) ◽  
pp. 11506-11514
Author(s):  
Daniel Zimmerle ◽  
Timothy Vaughn ◽  
Clay Bell ◽  
Kristine Bennett ◽  
Parik Deshmukh ◽  
...  

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