Leak detection method for bottom plate of oil tank based on oil/gas leak detection

Leak detection method for bottom plate of oil tank based on oil/gas leak detection

Fei WangAishe Shui Libei Zeng 

Department of Military Logistics Engineering, Army Logistical University of PLA Chongqing, China

Corresponding Author Email: 
19 November 2017
26 May 2018
30 September 2018
| Citation



This paper aims to develop a desirable detection method for bottom plate leakage, especially initial leakage, of oil tanks. For this purpose, a leak detection method was presented based on the oil and gas analysis. Meanwhile, the drilling, sealing and oil/gas collection methods were presented to overcome the lack of oil/gas collection hole at the bottom of in-service oil tanks. For better evaluation of detection results, the author developed a normalization method for the results detected at multiple holes and created comprehensive evaluation criteria for these results. The established model and evaluation algorithm were validated by applying them to an actual case and analysing the detection results.


oil/gas leak detection, fuzzy evaluation, oil/gas collection

1. Introduction
2. Diffusion Mechanism of Oil/Gas Leaked From the Foundation f Oil Tanks
3. Oil/Gas Collection Method
4. Fuzzy Comprehensive Evaluation Method for Leak Detection Results
5. Application Test and Results Analysis
6. Conclusions

National Natural Science Foundation of China (61871402, 61271449, 61302175), The first batch of hundred academic subjects in Chongqing (Yu Jiao people 2012–44), Natural Science Foundation of Chongqing (CSTC2015JCYJBX0017).


[1] Lovelock JE. (1960). A photoionization detector for gases and vapours. Nature 188(4748): 401. http://dx.doi.org/10.1038/188401a0

[2] Davenport JN, Adlard ER. (1984). Photoionization detectors for gas chromatography. Journal of Chromatography A 290(MAY): 13-32. http://dx.doi.org/10.1016/S0021-9673(01)93557-5

[3] Freedman AN. (1980). The photoionization detector: Theory, performance and application as a low-level monitor of oil vapour. Journal of Chromatography A 190(2): 263-273.

[4] Sun J, Guan F, Cui D, Chen X, Zhang L, Chen J. (2013). An improved photoionization detector with a micro gas chromatography column for portable rapid gas chromatography system. Sensors and Actuators B: Chemical 188: 513-518. http://dx.doi.org/10.1016/j.snb.2013.07.066

[5] Liu XY. (2016). Study on corrosion trend prediction and reliability modeling of oil tanks. Harbin University of Technology. 

[6] Gao J. (2016). Discussion on construction technology management of large scale oil tank foundation engineering. Engineering Quality (S1): 186-187+197.

[7] He LM, Gao Q. (2007). Construction of oil and gas storage and transportation engineering. Beijing: Petroleum Industry Press.

[8] Xue Q, Liang B, Feng X, Liu J. (2005). Multiphase flow numerical model of petroleum pollutant transport in underground environmental system. Journal of Chemical Engineering 56(5): 920-924.

[9] Grysakowski B. (2016). Numerical simulations of diffusion-migration processes in thin layers. Annales de Chimie: Science des Materiaux 40(1-2): 95-102.

[10] Sharma R, Mohamed M. (2003). An experimental investigation of LNAPL migration in an unsaturated/saturated sand. Engineering Geology 70(3): 305-313. http://dx.doi.org/10.1016/S0013-7952(03)00098-X

[11] Olaiju OA, Hoe YS, Ogunbode EB, Fabi JK, Egba EI. (2018). Achieving a sustainable environment using numerical method for the solution of advection equation in fluid dynamics. Chemical Engineering Transactions 63: 631-363. http://dx.doi.org/10.3303/CET1863106

[12] Sari EN, Prueksakorn K, Gonzalez JC, Arpornthip T, Areerob T, Pornsawang C, Pimonsree S. (2018). Inventory of greenhouse gas emissions for phayao province-an agricultural city in Thailand. Chemical Engineering Transactions 63: 163-168. http://dx.doi.org/10.3303/CET1863028