The Underground Water Quality Evaluation from Electrical Logging Data in Sandstone District: A Case Study in Daqing Oil Field

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Abstract:

As an important yardstick of water quality evaluation, total dissolved solids (TDS) is strongly correlated with apparent resistivity and static spontaneous potential (SSP) parameters from electrical logging curves.A lot of electrical logging data accumated in the hydrogeologic survey during last decades can be used to predict the underground water TDS. Based on electrical characteristic analysis of sandstone reservoir, taking the influfential factors of the Archie’s Equation and creation mechanism of spontaneous potential (SP) as starting points, the theoretical relationship between the underground water TDS and formation resistivity (Rt) without considering the infuence of the porosity is modeled in this paper, and also the relationship between the underground water TDS and SSP in the same section of drilling well. Utilizing the apparent resistivity logging and static potential logging data, and employing the numerical fitting method, the relationship between groundwater TDS and conductivity is analyzed and determined, finally, the electrical parameters of determining the water quality and the regional evaluation of water quality are expounded in Daqing oil field,songliao plain Quaternary sandstone aquifer.

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December 2012

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] J. Asfahani: Acta Geophysical Vol. 59 (2011), p.139.

Google Scholar

[2] M.A. Khalil, M.A. Hafez, and F.M. Santos: Near Surface Geophysics Vol. 59 (2011), p.139.

Google Scholar

[3] C.L. Mcconnell: Journal of Hydrology Vol. 65(1983), p.363.

Google Scholar

[4] A.L. Olivar: Geophysics Vol. 158(1993), p.1689.

Google Scholar

[5] R. Nativ and H. Fligelman: Journal of Hydrology Vol. 161(1994), p.133.

Google Scholar

[6] F. Zhao, H. Qi and Y. Wang: Progress in Geophysics Vol. 17(2002), p.551.

Google Scholar

[7] D.G. Jorgensen, in: Symposium on Geophysical Methods for Geotechnical Investigations, edited by ASTM Special Technical Publication, Denver(1999) , p.47.

Google Scholar

[8] L. Hite and M. Carlson: Journal of Environmental and Engineering Geophysics, Vol. 4(1999) , p.45.

Google Scholar

[9] G.E. Achie: Trans. Am. Inst. Mech. Eng. Vol. 146(1942), p.54.

Google Scholar

[10] O. Serra: Fundamentals of Well-log Interpretation-2: The interpretation of logging data( Elsevier Publishers, Montrouge, France 1986).

Google Scholar

[11] J. Dong: Chinese Journal of Health Laboratory Technology Vol. 19(2009), p.2719.

Google Scholar

[12] Information on http: / http: /www. who. int.

Google Scholar