Abdel-Basset, M., Abdel-Fatah, L., Sangaiah, A.K., 2018. Metaheuristic algorithms: A comprehensive review. In Computational intelligence for multimedia big data on the cloud with engineering applications (pp. 185-231).##
Abdel-Fattah, M.I., Pigott, J.D., El-Sadek, M.S., 2020. Integrated seismic attributes and stochastic inversion for reservoir characterization: Insights from Wadi field (NE Abu-Gharadig Basin, Egypt). Journal of African Earth Sciences, 161: 103661.##
Abdelmaksoud, A., Amin, A.T., El-Habaak, G.H. and Ewida, H.F., 2019. Facies and petrophysical
modeling of the Upper Bahariya Member in Abu Gharadig oil and gas field, north Western Desert, Egypt. Journal of African Earth Sciences, 149: 503-516.##
Adelu, A.O., Aderemi, A.A., Akanji, A.O., Sanuade, O.A., Kaka, S.I., Afolabi, O., Olugbemiga, S., Oke, R., 2019. Application of 3D static modeling for optimal reservoir characterization. Journal of African Earth Sciences, 152: 184-196.##
Agarwal, M., Srivastava, G.M.S., 2018. Genetic Algorithm-Enabled Particle Swarm Optimization
(PSOGA)-Based Task Scheduling in Cloud Computing Environment. International Journal of
Information Technology & Decision Making, 17(04): 1237-1267.##
Angeleri, G.P., Carpi, R., 1982. Porosity prediction from seismic data. Geophysical prospecting, 30(5): 580-607.##
Besag, J., Green, P.J., 1993. Spatial statistics and Bayesian computation. Journal of the Royal Statistical Society: Series B (Methodological), 55(1), pp.25-37.##
Binitha, S., Sathya, S.S., 2012. A survey of bio inspired optimization algorithms. International journal of soft computing and engineering, 2(2):137-151.##
Blum, C. and Roli, A., 2003. Metaheuristics in combinatorial optimization: Overview and conceptual comparison. ACM computing surveys (CSUR), 35(3), pp.268-308.##
Bornard, R., Allo, F., Coleou, T., Freudenreich, Y., Caldwell, D.H., Hamman, J.G., 2005, June.
Petrophysical Seismic Inversion to Determine More Accurate and Precise Reservoir Properties
(SPE94144). In 67th EAGE Conference & Exhibition (pp. cp-1). European Association of
Geoscientists & Engineers.##
Bosch, M., Mukerji, T., Gonzalez, E.F., 2010. Seismic inversion for reservoir properties combining statistical rock physics and geostatistics: A review. Geophysics, 75(5): 75A165-75A176.##
Caers, J. and Hoffman, T., 2006. The probability perturbation method: a new look at Bayesian inverse modeling. Mathematical geology, 38(1), pp.81-100.##
Crawford, B., Soto, R., Astorga, G., García, J., Castro, C., Paredes, F., 2017. Putting continuous
metaheuristics to work in binary search spaces. Complexity, 2017.
Geopersia 2021, 11(1): 153-168 167##
Churanova, N.Y., Chorniy, A.V., Baranov, T.S., Solovyev, A.V., Sadreev, E.A., Kurelenkov, S.K.,
Yudin, E.V., Danko, D.A., 2018, October. Reservoir Properties Distribution Based on Petroelastic
Modeling PEM. In SPE Russian Petroleum Technology Conference. Society of Petroleum Engineers.##
Doyen, P., 2007. Seismic reservoir characterization: An earth modelling perspective (2: 255). Houten: EAGE publications.##
Elzain, H.E., Abdullatif, O., Senapathi, V., Chung, S.Y., Sabarathinam, C., Sekar, S., 2020. Lithofacies modeling of Late Jurassic in upper Ulayyah reservoir unit at central Saudi Arabia with inference of reservoir characterization. Journal of Petroleum Science and Engineering, 185, p.106664.##
El Khadragy, A.A., Eysa, E.A., Hashim, A., El Kader, A.A., 2017. Reservoir characteristics and 3D
static modelling of the Late Miocene Abu Madi Formation, onshore Nile Delta, Egypt. Journal of
African Earth Sciences, 132: 99-108.##
Emami Niri, M. and Lumley, D.E., 2015. Simultaneous optimization of multiple objective functions for reservoir modeling. Geophysics, 80(5): M53-M67.##
Emami Niri, M., 2018. 3D and 4D Seismic Data Integration in Static and Dynamic Reservoir Modeling: A Review. Journal of Petroleum Science and Technology, 8(2): 38-56.##
Emami Niri, M., Lumley, D.E., 2017. Initialising reservoir models for history matching using preproduction 3D seismic data: constraining methods and uncertainties. Exploration Geophysics, 48(1), pp.37-48.##
Emami Niri, M., Lumley, D.E., 2016. Estimation of subsurface geomodels by multi-objective stochastic optimization. Journal of Applied Geophysics, 129: 187-199.##
Niri, M.E. and Lumley, D., 2013, August. Uncertainty analysis in quantitative integration of inverted 3D seismic data for static reservoir modeling. In 13th International Congress of the Brazilian Geophysical Society & EXPOGEF, Rio de Janeiro, Brazil, 26–29 August 2013 (pp. 993-997).##
Society of Exploration Geophysicists and Brazilian Geophysical Society.##
Galli, A., Beucher, H., 1997, January. Stochastic models for reservoir characterization: a user-friendly review. In Latin American and Caribbean Petroleum Engineering Conference. Society of Petroleum Engineers.##
Garg, H., 2016. A hybrid PSO-GA algorithm for constrained optimization problems. Applied
Mathematics and Computation, 274: 292-305.##
Gassmann, F., 1951. Über die elastizität poröser medien: Vierteljahrss-chrift der Naturforschenden Gesellschaft in Zurich 96, 1-23. Paper translation at http://sepwww. stanford.
edu/sep/berryman/PS/gassmann. pdf.##
Grana, D. and Della Rossa, E., 2010. Probabilistic petrophysical-properties estimation integrating statistical rock physics with seismic inversion. Geophysics, 75(3): O21-O37.##
Grana, D., Mukerji, T. and Dvorkin, J., 2011. Single loop inversion of facies from seismic data using sequential simulations and probability perturbation method. In SEG Technical Program Expanded Abstracts 2011 (pp. 1769-1773). Society of Exploration Geophysicists.##
Grana, D., Mukerji, T., Dvorkin, J. and Mavko, G., 2012. Stochastic inversion of facies from seismic data based on sequential simulations and probability perturbation method. Geophysics, 77(4): M53-M72.##
Hoffman, B.T., 2005. Geologically consistent history matching while perturbing facies.##
Hoffman, B.T. and Caers, J., 2003, January. Geostatistical history matching using a regional probability perturbation method. In SPE Annual Technical Conference and Exhibition. Society of Petroleum Engineers.##
Journel, A.G., Gomez-Hernandez, J.J., 1993. Stochastic imaging of the Wilmington clastic
sequence. SPE formation Evaluation, 8(01): 33-40.##
Journel, A.G., 2002. Combining knowledge from diverse sources: An alternative to traditional data independence hypotheses. Mathematical geology, 34(5): 573-596.##
Kar, A.K., 2016. Bio inspired computing–a review of algorithms and scope of applications. Expert Systems with Applications, 59: 20-32.##
Khajehzadeh, M., Taha, M.R., El-Shafie, A. and Eslami, M., 2011. A survey on meta-heuristic global optimization algorithms. Research Journal of Applied Sciences, Engineering and Technology, 3(6):569-578.##
Khormouji, H.B., Hajipour, H., Rostami, H., 2014, September. BODMA: a novel metaheuristic
algorithm for binary optimization problems based on open source development model algorithm. 168 Shad salanghouch & Emami Niri In 7'th International Symposium on Telecommunications (IST'2014) (pp. 49-54). IEEE.##
Kim, K.H., Lee, K., Lee, H.S., Rhee, C.W., Shin, H.D., 2018. Lithofacies modeling by multipoint
statistics and economic evaluation by NPV volume for the early Cretaceous Wabiskaw Member in Athabasca oilsands area, Canada. Geoscience Frontiers, 9(2): 441-451.##
Koneshloo, M., Aryana, S.A., Grana, D., Pierre, J.W., 2017. A workflow for static reservoir modeling guided by seismic data in a fluvial system. Mathematical Geosciences, 49(8), pp.995-1020.##
Mavko, G., Mukerji, T., 1998. A rock physics strategy for quantifying uncertainty in common
hydrocarbon indicators. Geophysics, 63(6): 1997-2008.##
Mavko, G., Mukerji, T. and Dvorkin, J., 1998. The rock physics handbook: Tools for seismic analysis in porous media: University of Cambridge.##
Mondol, N.H., 2010. Seismic exploration. In Petroleum Geoscience (pp. 375-402). Springer, Berlin, Heidelberg.##
Nur, A., Mavko, G., Dvorkin, J., Galmudi, D., 1998. Critical porosity: A key to relating physical
properties to porosity in rocks. The Leading Edge, 17(3): 357-362.##
Ravalec-Dupin, L., Enchery, G., Baroni, A. and Da Veiga, S., 2011. Preselection of reservoir models from a geostatistics-based petrophysical seismic inversion. SPE Reservoir Evaluation &
Engineering, 14(05): 612-620.##
Strebelle, S., 2002. Conditional simulation of complex geological structures using multiple-point statistics. Mathematical geology, 34(1): 1-21.##
Tang, M., Lu, S., Zhang, K., Yin, X., Ma, H., Shi, X., Liu, X., Chu, C., 2019. A three dimensional highresolution reservoir model of Napo Formation in Oriente Basin, Ecuador, integrating sediment dynamic simulation and geostatistics. Marine and Petroleum Geology, 110: 240-253.##
Tewari, S., Dwivedi, U.D., 2019. Ensemble-based big data analytics of lithofacies for automatic
development of petroleum reservoirs. Computers & Industrial Engineering, 128: 937-947.
Wood, A.B., 1941. A textbook of sound: Bell.##
Zhang, Z., Li, H., Zhang, D., 2017. Reservoir characterization and production optimization using the ensemble-based optimization method and multi-layer capacitance-resistive models. Journal of Petroleum Science and Engineering, 156: 633-653.##