GMS Numerical Simulation of Crude Oil Pollution Caused by Some Oil Pipeline Leak

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Abstract:

We have used Groundwater Modeling System (GMS) to numerical simulate the groundwater pollution migration caused by crude oil leak in the research regions. The result of the numerical simulation shows those 40 years after the crude oil leak, the contaminative area of pollutant reaches 46595 m3, and then the pollutant doesn’t arrive the pumping well. The density of the pollutants is less than 0.01mg/L. Therefore, we suggest that pipeline projects should make a specific effective plan for groundwater environmental monitoring for the sake of providing reference to institute relative countermeasure for prevention and control groundwater pollution.

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Periodical:

Advanced Materials Research (Volumes 488-489)

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1076-1081

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Online since:

March 2012

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] L. X. Yi and H. Xu. Numerical simulation of groundwater. GMS Application Infrastructure and Examples. Beijing, Chemical Engineering Press, (2009).

Google Scholar

[2] M. Z. Guo and J. Y. Yang. Contemporary Oil Pipeline Technology Status and Development Trend, China Petroleum and Chemical, July, 2004: 16-20.

Google Scholar

[3] G. H. Wu, J. Y. Xue and D. S. Zhang. Groundwater Resources and Sustainable Development of Beihai Northwest Water Resources and Water Engineering, 3rd, 1999, pp: 7-13.

Google Scholar

[4] F. Zheng. Three-Dimensional Groundwater Flow and Land Subsidence Coupled Numerical Simulation of the Whole. Hohai University, (2008).

Google Scholar

[5] J. Liang, G. M. Zeng and S. L. Guo, et al. Permeability Heterogeneity Effects on Solute Transport in Groundwater . Liang Jie, etc. Hydraulic Engineering, 2008 8 901 - 905.

Google Scholar

[6] D. H. Wei, L, Ren. Analysis on Oil and Gas Pipeline Project through Water Body and Its Impact on Environment and Measures. Oil and Gas Fields 0f Environmental Protection, 2, 2008. pp: 5-8.

Google Scholar