Geostatistical investigation of RQD to identify the high permeable zones in the Takht-e-Gonbad copper mine pit,, Sirjan


1 Geology Department, Faculty of Sciences, University of Sistan and Baluchestan, Zahedan, Iran

2 Geology Department, Faculty of Sciences, University of Sistan and Baluchestan

3 Faculty of Geosciences, Shahrood University of Technology, Shahrood, Iran.


One of the most important problems in mining is the flow of groundwater into the pit mines. The location and amount of these waters are often dependent on the permeable zones. Therefore, geostatistical methods can be used to identify these zones. Hence, geostatistical research has been done on variable data of the rock quality designation (RQD) to identify permeable zones in the area of Takht e- Gonbad copper mine pit, Sirjan. This mine is located in Kerman province, northeast of the Sirjan city and it is an open-pit type. A total of 69 exploration boreholes have been dug in the area around the pit. During the drilling, the variable data of the RQD was recorded during a spatial distance of 3 m along the entire length of the boreholes. Identifying areas with high permeability in the rock units of the region, especially in the subsurface of the aquifer, is necessary to carry out the drainage plan in the future. In this research, geostatistical simulation methods have been used to identify permeable zones. The results of the preliminary statistics showed that the RQD has an increasing trend with increasing depth. The spatial continuity of the RQD based on the directional variogram and the spherical model was estimated about 81 meters, and was greater in the east-west direction. Finally, by geostatistical simulation, the areas with high permeability in the region have been determined which are mainly located in the northeast and southwest of the pit.


Main Subjects

Anvari, A.A., Katibeh, H., Mahmoudabadi, H., 2008. Estimation of equivalent permeability in Amirkabir Tunnel alignment with neural network. 2nd Iranian Mining Engineering Conference.
Assari, A., Mohammadi, Z., 2017. Analysis of rock quality designation (RQD) and Lugeon values in a karstic formation using the sequential indicator simulation approach, Karun IV Dam site, Iran. Bulletin of Engineering Geology and the Environment 76, 771-782.
Dehshibi, R., Jahanshahi, R., Mozafari, M., Assari, A., 2022. Application of the geostatistics to identification of the high water escape potential locations in the Tangab Dam. Ferdowsi Civil Engineering. 34(4), 15-30.
Eliat, M., Chehrzari, A., 2016. Combination of image logs analysis and petrophysical evaluation results in order to Porosity and permeability determination. The 2nd National Geology and Mining Exploration Symposium.
Issaks, E.H., Srivastava, R. M., 1989. Applied Geostatistics, Newyork, Oxford University Press. P.  561.
Lu, L., Kashiwaya, K., Koike, K., 2016. Geostatistics-based regional characterization of groundwater chemistry in a sedimentary rock area with faulted setting. Environmental Earth Sciences 75, 829.
Moshrefi, M.R., Barkhordari, K., Mosavi, H., 2016. Evaluation of the geotechnical and geological features of the engineering of the Ivshan reservoir dam. Second National Conference on Civil Engineering, Architecture and Urban Development.
Nakhaie Sarvedani, B., Jahanshahi, R., Assari, A., 2022. Determining the best places for dewatering wells in the Gohar-Zamin pit mine, using geostatistical method. Geopersia 12(2), 287-298.
Razack, M., Lasm, T., 2006. Geostatistical estimation of the transmissivity in a highly fractured metamorphic and crystalline aquifer (Man-Danane Region, Western Ivory Coast). Journal of Hydrology 325(4-1), 164-178.
Sasani Nia, N., Habib Nia, B., Ghobadi, H., 2015. Estimation of porosity and spatial distribution of permeability using geostatistical model in one of the oil fields in southwestern Iran. International Conference on Science and Engineering.
Triki, L., Zairi, M., Ben Dhia, H., 2012. A geostatistical approach for groundwater head monitoringnetwork optimisation: case of the Sfax superficial aquifer (Tunisia). Water and Environment Journal 27(3), 372-362.