Structure Analysis of Large Steel Crude Oil Tank under the Planar Inclined Foundation

2013 ◽  
Vol 743 ◽  
pp. 142-145
Author(s):  
Li Xin Wei ◽  
Xiao Yan Li ◽  
Da Wei Ji

Large steel crude oil tanks constructed in soft foundations are susceptible to various types of settlement deflections. The most common type is planar inclined foundation. In this paper, the FEM is used for the study of deformation characteristic and stress distribution of large steel crude oil tank under the planar inclined foundation approaching to critical value. Results show that deformation characteristic of tank is unevenness; max stress in tank shell occurs in middle-low part of floating roof tank; the ultimate value of large steel crude oil tank under the planar inclined foundation is 0.89m.

2014 ◽  
Vol 919-921 ◽  
pp. 469-472
Author(s):  
Wen He Wang ◽  
Hai Xia Li ◽  
Zhi Sheng Xu ◽  
Dong Liang

In recent years, the demand of the crude oil is increasing in the world, and the oil storage tanks are also developing larger and larger. Higher requirements of safety for storage tank, especially safety evaluation of the oil tanks in fire environment, was proposed because the oil tank volume is large, as well the oil is volatile, flowing, inflammable and explosive easily. In the paper, the fire process was simulated by the heat treatment for the key position, and the relationship between mechanical property and heating temperature of large tank after fire was obtained. The strength evaluation for large-scale crude oil storage tank after fire was implemented and the result showed that the strength for large crude oil tank was satisfied with requirement.


2020 ◽  
Vol 12 (17) ◽  
pp. 6862
Author(s):  
Chien Li Lee ◽  
Cheng-Hsien Tsai ◽  
Chih-Ju G. Jou

The oily sludge from crude oil contains hazardous BTEX (benzene, toluene, ethylbenzene, xylene) found in the bottom sediment of the crude oil tank in the petroleum refining plant. This study uses microwave treatment of the oily sludge to remove BTEX by utilizing the heat energy generated by the microwave. The results show that when the oily sludge sample was treated for 60 s under microwave power from 200 to 300 W, the electric field energy absorbed by the sample increased from 0.17 to 0.31 V/m and the temperature at the center of the sludge sample increased from 66.5 °C to 96.5 °C. In addition, when the oily sludge was treated for 900 s under microwave power 300 W, the removal rates were 98.5% for benzene, 62.8% for toluene, 51.6% for ethylbenzene, and 29.9% for xylene. Meanwhile, the highest recovery rates of light volatile hydrocarbons in sludge reached 71.9% for C3, 71.3% for C4, 71.0% for C5, and 78.2% for C6.


2013 ◽  
Vol 577-578 ◽  
pp. 529-532 ◽  
Author(s):  
Jiří Sís ◽  
Bedřich Votava

Corrosion processes are frequent reasons of failure of materials in many applications. Results of failure analysis of the crude-oil tank after more than 30 years of service are summarized in this work. The failure was caused by two different and independent corrosion processes – corrosion in crude oil inside the tank and corrosion from concrete base under the tank. Both corrosion processes usually occur equally over the whole surface. In this case, however, both the corrosion processes occurred with distinctly higher corrosion rate in basic material alongside of heat affected zone of weld joint as well. The crack with length about 420 mm was the final result of these processes. The effect of low-cycle fatigue from filling and draining of crude oil is usually significant and was discussed as well.


2016 ◽  
Vol 40 (5) ◽  
pp. 835-845
Author(s):  
Ming-Sen Hu ◽  
Chia-Rei Tao

The capacity of ship’s oil tanks is usually designed as a tabled form in order to obtain oil volumes by using the measured ullage heights. However, the tank walls easily deform or distort due to long-term heavy loading. This phenomenon may cause serious errors that the carrying capacity in oil tanker does not match with the values of the tabled form. In this paper, we perform an oil tank volume calibration project that aims to develop a tank volume calculation and report a generation software with trim and list corrections. The current internal specification for each tank is measured first, and then all specification data measured can be input to this software system to calculate each tank’s volume. These calculated results will be verified by actual delivery volume tests. This software system has been applied to the Der-Yun Oil Tanker of CPC Corp. The result shows that the overall error of calibrated volume for all tanks is under 0.1%. It is proved that this system highly improves the correctness of the vessel’s carrying capacity.


Author(s):  
Koyu Satoh ◽  
Naian Liu ◽  
Xiaodong Xie ◽  
Wei Gao

The number of huge oil storage tanks is increasing in the world. If a fire occurs in one of these tanks, it is very difficult to suppress. Additionally, if a fire whirl occurs in an oil tank fire, it is extremely dangerous for firefighters to extinguish the fire. The authors have numerically studied huge fire whirls in a large oil tank depot and predicted the generation of those fire whirls. Here, another study is attempted to clarify the details of huge fire whirl in a large oil tank, using two kinds of fire whirl generation channels in CFD simulations using the software, FDS by NIST. Details of burning rates, velocities of whirling flames, radiative heat flux, heat release rates and whirling cycles are examined, using oil tanks with the diameters of 0.2 to 80 m. In oil tanks with a diameter of 80 m, a tall fire whirl is generated. The height is about 1000 m. In this study of oil tanks fires with small to large diameters, it has been found that fire whirl lengths are about 8 to 11 times of the oil tank diameter. The maximum radiative heat flux due to a fire whirl in 80 m diameter oil tanks exceeds 100 kW/m2. Since the maximum radiation is found at twice the distance of oil tank diameters from the tank centers, adjacent oil tanks may be ignited. This study has also examined a method used to prevent fire whirl generation in huge oil tanks.


2017 ◽  
Vol 48 ◽  
pp. 305-311 ◽  
Author(s):  
Mingguang Zhang ◽  
Zhan Dou ◽  
Longfei Liu ◽  
Juncheng Jiang ◽  
Ahmed Mebarki ◽  
...  

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