Aasum, Y., Kelkar M.G., Gupta S.P., 1991. An application of geostatistics and fractal geometry for reservoir characterization. SPE Formation Evaluation 6(1), 9-11.
Aghajari, A., Sasaninia, N., 2017. Estimation of Porosity and Permeability by Using Geostatistical Methods in one of the OilFields SW of Iran. Revista Publicando 13, 236-248.
Bourgoyne, A.T., Millheim, K.K., Chenevert, M.E., Young, F.S., 1986. Applied Drilling Engineering, p. 502.
Chen, H., Feng, Q., Zhang, X., Wang, S., Zhou, W., Geng, Y., 2017. Well placement optimization using an analytical formula-based objective function and cat swarm optimization algorithm. Petroleum Science and Engineering 157, 1067-1083.
Deusth, C.V., Journel, A.G., 1992. GSLIB: Geostatistical software Library and users guide. Oxford University Press, New York. p. 340.
Deutsch, C.U., 2002. Geostatitistical Reservoir Modeling, Oxford University Press, Oxford.
Hamida, Z., Azizi, F., Saad, G., 2017. An efficient geometry-based optimization approach for well placement in oil fields. Petroleum Science and Engineering 149, 383-392.
Hasanipak, A.A., 2010. Geostatistics. Third edition, Tehran University Press. (In Persian).
Madani, H., 1994. Basics of Geostatistics, Amir Kabir University of Technology Publications. (In Persian).
Mohammadi, H., Seifi, A., Foroud, T., 2012. A robust Kriging model for predicting accumulative outflow from a mature reservoir considering a new horizontal well. Petroleum Science and Engineering 82, 113-119.
Mohseni, H., Rafiee, B., Behzad, R., Zahrab, Zadeh M., 2010. 3D Modeling of Carbonate Reservoirs Using Geostatistics, Stratigraphy and Sedimentology Research. (In Persian).
Nwachukwu, A., Jeong, H., Pyrcz, M., W.Lake, L., 2018. Fast evaluation of well placements in heterogeneous reservoir models using machine learning. Petroleum Science and Engineering 163, 463-475.
Rahim, Sh., Li, Z., 2015. Well Placement Optimization with Geological Uncertainty Reduction. IFAC-Papers on Line 48, 57-62.
Yeten, B., Gümrah, F., 2000. The use of fractal geostatistics and artificial neural networks for carbonate reservoir characterization. Transport in Porous Media 41(2), 173-953.
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