Abdel-Fattah, M. I., Metwalli, F. I., & El Sayed, I. M. (2018). Static reservoir modeling of the Bahariya reservoirs for the oilfields development in South Umbarka area, Western Desert, Egypt. Journal of African Earth Sciences, 138, 1-13.

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.

Amjad, M. K., Butt, S. I., Kousar, R., Ahmad, R., Agha, M. H., Faping, Z., .Anjum, N., & Asgher, U. (2018). Recent research trends in genetic algorithm based flexible job shop scheduling problems. Mathematical Problems in Engineering.

Angeleri, G. P., & Carpi, R. (2006). Porosity prediction from seismic data. Geophysical prospecting, 30(5), 580-607.

Bäck, T., Fogel, D. B., & Michalewicz, Z. (1997). Handbook of evolutionary computation. CRC Press.

Bornard, R., Allo, F., Coléou, T., Freudenreich, Y., Caldwell, D. H., & Hamman, J. G. (2005). Petrophysical Seismic Inversion to Determine More Accurate and Precise Reservoir Properties (SPE94144). In 67th EAGE Conference & Exhibition.

Castro, S. A., Caers, J., Otterlei, C., Meisingset, H., Hoye, T., Gomel, P., & Zachariassen, E. (2009). Incorporating 4D seismic data into reservoir models while honoring production and geologic data: A case study. The Leading Edge, 28(12), 1498-1505.

Del Valle, Y., Venayagamoorthy, G. K., Mohagheghi, S., Hernandez, J. C., & Harley, R. G. (2008). Particle swarm optimization: basic concepts, variants and applications in power systems. IEEE Transactions on evolutionary computation, 12(2), 171-195.

Doyen, P. (2007). Seismic reservoir characterization: An earth modelling perspective, Vol. 2, p. 255. Houten: EAGE publications.

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., & Lumley, D. (2013). 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, Society of Exploration Geophysicists and Brazilian Geophysical Society.

Emami Niri, M., & Lumley, D. E. (2015). Simultaneous optimization of multiple objective functions for reservoir modeling. Geophysics, 80(5), M53-M67.

Emami Niri, M., & Lumley, D. E. (2016). Estimation of subsurface geomodels by multi-objective stochastic optimization. Journal of Applied Geophysics, 129, 187-199.

Emami Niri, M., & Lumley, D. E. (2017). Initialising reservoir models for history matching using pre-production 3D seismic data: constraining methods and uncertainties. Exploration Geophysics, 48(1), 37-48.

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.

Eberhart, R. C., & Shi, Y. (1998). Comparison between genetic algorithms and particle swarm optimization. In International conference on evolutionary programming, 611-616. Springer, Berlin, Heidelberg.

Eberhart, R., & Kennedy, J. (1995). A new optimizer using particle swarm theory. In MHS'95. Proceedings of the Sixth International Symposium on Micro Machine and Human Science, 39-43. IEEE.

Friedel, S. (2003). Resolution, stability and efficiency of resistivity tomography estimated from a generalized inverse approach. Geophysical Journal International, 153(2), 305-316.

Garg, H. (2016). A hybrid PSO-GA algorithm for constrained optimization problems. Applied Mathematics and Computation, 274, 292-305.

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), 995-1020.

Kozlovskaya, E., Vecsey, L., Plomerová, J., & Raita, T. (2007). Joint inversion of multiple data types with the use of multi objective optimization: problem formulation and application to the seismic anisotropy investigations. Geophysical Journal International, 171(2), 761-779.

Kumar, N., & Vidyarthi, D. P. (2016). A novel hybrid PSO-GA meta-heuristic for scheduling of DAG with communication on multiprocessor systems. Engineering with Computers, 32(1), 35-47.

Lumley, D. E. (1995). Seismic time-lapse monitoring of subsurface fluid flow, No. 91. Stanford University.

Marini, F., & Walczak, B. (2015). Particle swarm optimization (PSO). A tutorial. Chemometrics and Intelligent Laboratory Systems, 149, 153-165.

Mavko, G., Mukerji, T., & Dvorkin, J. (1998). The rock physics handbook: Tools for seismic analysis in porous media: University of Cambridge.

Nur, A. M., Mavko, G., Dvorkin, J., & Gal, D. (1995). Critical porosity: The key to relating physical properties to porosity in rocks. In SEG Technical Program Expanded Abstracts, 878-881. Society of Exploration Geophysicists.

Ravalec-Dupin, L., Enchery, G., Baroni, A., & Da Veiga, S. (2011). Preselection of reservoir models from a geostatistics-based petrophysical seismic inversion. SPE Reservoir Evaluation & Engineering, 14(05), 612-620.

Schwarzbach, C., Börner, R. U., & Spitzer, K. (2005). Two-dimensional inversion of direct current resistivity data using a parallel, multi-objective genetic algorithm. Geophysical Journal International, 162(3), 685-695.

Tarantola, A. (2005). Inverse problem theory and methods for model parameter estimation, Vol. 89. Siam.

Thengade, A., & Dondal, R. (2012). Genetic algorithm-survey paper. In MPGI National Multi Conference, 7-8.

Zhan, Z. H., Zhang, J., Li, Y., & Chung, H. S. H. (2009). Adaptive particle swarm optimization. IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 39(6), 1362-1381.