Abdideh M. and Ghasemi A., A comparison of various statistical and geostatistical methods in estimating the geomechanical properties of reservoir rocks, Petroleum Science and Technology. 2014, 32(9):1058-1064.
Alexandridis A.K. and Zapranis A.D., Wavelet neural networks: A practical guide, Neural Networks. 2013, 42: 1-27.
Almeida J.A., Use of Geostatistical Models to Improve Reservoir Description and Flow Simulation in Heterogeneous Oil Fields, Master thesis, University Technica De Lisboa. 1999, 161 Pages.
Al-Zainaldin S. Glover PWJ. and Lorinczi P., Synthetic Fractal Modelling of Heterogeneous and Anisotropic Reservoirs for use in Simulation Studies: Implications on their Hydrocarbon Recovery Prediction, Transport in Porous Media. 2017, 116(1): 181-212.
Bavand Savadkoohi M. Tokhmechi B. Gloaguen E. Arab Amiri A., 2018, A comprehensive benchmark between two filter-based multiple point simulation algorithms, Journal of Mining and Environment, Published Online, DOI: 10.22044/jme.2018.7335.1584.
Brown P.E., 2015, Model-Based Geostatistics the Easy Way, Journal of Statistical Software, 63(12): 1-24.
Cao J., Yang J., Wang Y., Wang D., and Shi Y., Extreme learning machine for reservoir parameter estimation in heterogeneous sandstone reservoir, Mathematical Problem in Engineering. 2015: 10 Pages.
Diggle P.J., Giorgi E., Model-Based Geostatistics for Prevalence Mapping in Low-Resource Settings, Lancaster Medical School. 2015.
Diggle P.J., Ribeiro P.J., Model Based Geostatistics, Springer Series in Statistics, New York, USA. 2007.
Deutsch C.V., What in the Reservoir is Geostatistics Good For? Journal of Canadian Petroleum Technology. 2006, 45: 201-225.
Fang Y. and Chow T.W.S., Wavelets based neural network for function approximation, Lecture notes in computer science. 2006, 3971: 80–85.
Hamada G.M., and Elshafei M.A., Neural Network Prediction of Porosity and Permeability of Heterogeneous Gas Sand Reservoirs, SPE Saudi Arabia Section Technical Synposium, Al-khobar, Saudi Arabia. 2009, SPE-126042-MS, 12 Pages.
Hewett T.A., Fractal distribution of reservoir heterogeneity and their influence of fluid transport, 61st Ann.
Tech. Conf. New Orleans, Louisiana. 1986, SPE 15385.
Hewett T.A., Modelling Reservoir Heterogeneity with Fractals, Quantitative Geology and Geostatistics. 1993, 5: 455-466.
Hsu, H.M., Chen, C.T., Aggregation of fuzzy opinions under group decision making environment, Fuzzy Sets and Systems. 1996, 79: 279-285 .
Hu L.Y. and Le Ravalec-Dupin M., Elements for an Integrated Geostatistical Modeling of Heterogeneous Reservoirs, Oil & Gas Science and Technology – Rev. IFP. 2004, 59(2): 141-155.
Kamali M.R., Omidvar A., and Kazemzadeh E., 3D geostatistical modeling and uncertainty analysis in a carbonate reservoir, SW Iran. Journal of Geological Research. 2013.
Karimi A., Moeini F., Shamsoddini-Moghadam M.J., Hosseini S.A., Mohammadi A.H., and HemmatiSarpardeh A., Modeling the permeability of heterogeneous oil reservoirs using a robust method, Geosciences Journal. 2016, 20: 259-271.
Krainski E.T. Gómez-Rubio V. Bakka H. Lenzi A. Castro-Camilo D. Simpson D. Lindgren F. and Rue H., Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA, Chapman and Hall/CRC. 2018: 284 Pages.
Kuncheva L.I., Krishnapuram R., A fuzzy consensus aggregation operator, Fuzzy Sets and Systems. 1996, 79: 347-356.
Mariethoz G., When should we use multiple-point geostatistics? Handbook of Mathematical Geosciences: Fifty Years of IAMG, Springer. 2018: 645-653.
Mariethoz G. and Caers J, Multiple-point geostatistics: stochastic modeling with training images, John Wiley & Sons. 2014.
Masoudi P. Memarian H. Aifa T. Tokhmechi B., Geometric Modelling of Volume of Investigation of Welllogs for Thin-bed Characterization, Journal of Geophysics and Engineering. 2017, 14: 426-444.
Masoudi P. Aifa T. Memarian H. Tokhmechi B., Uncertainty assessment of porosity and permeability by clustering algorithm and fuzzy arithmetic, Journal of Petroleum Science and Engineering. 2018, 161: 275-290.
Michael H.A., Li H., Boucher A., Sun T., Caers J., and Gorelick S.M., Combining geologic-process models and geostatistics for conditional simulation of 3-D subsurface heterogeneity, Water Resources Research. 2010, 46: 20 Pages.
Ostad M.N., Niri M.E., and Darjani M., 3D modeling of geomechanical elastic properties in a carbonatesandstone reservoir: a comparative study of geostatistical co-simulation methods. Journal of Geophysics and Engineering. 2018, 15(4), 1419.
Pyrcz, M.J. and Deutsch, C.V., Geostatistical reservoir modeling, Oxford University Press. 2014.
Rasouli V. Tokhmechi B., Difficulties in using geostatistical models in reservoir simulation. 2010, SPE 126191, Egypt.
Shiri Y. Tokhmechi B. Zarei Z. Koneshloo M., Self-Affine and ARX-Models Zonation of Well Logging Data, Physica A: Statistical Mechanics and its Application. 2012, 391(21): 5208-5214.
Soroush H. Rasouli V. Tokhmechi B., A combined Bayesian-Wavelet-Data Fusion approach proposed for borehole enlargement identification in Carbonates, Journal of Rock Mechanics and Mining Sciences. 2010, 47: 996-1005.
Souche L. Mahdavi R. Mohammad N.M. Alim S. Masoudi R. and Basa D., Reservoir Modeling of Complex Thin-Bedded Deep Water Deposits Integrating Well Data, Seismic Inversion and Depositional Model from Offshore Sabah, Malaysia, International Petroleum Technology Conference, Doha, Qatar. 2015, 10 pages.
Tokhmechi B. Memarian H. Ahmadi Noubari H. Moshiri B., A novel approach for fracture Zone detection using petrophysical logs, Journal of Geophysics and Engineering. 2009, 6: 365-373.
Tokhmechi B. Nasiri J. Azizi H. Rabiei M. Rasouli V., Wavelet Neural Network: A Hybrid Method in Modeling Heterogeneous Reservoirs, International Journal of Mining and Geo-Engineering, 2018.a.
Tokhmechi B. Rasouli V. Azizi H. Rabiei M., Hybrid Clustering-estimation for Characterization Thin Bed Heterogeneous Reservoirs, Carbonates and Evaporites. 2018.b, DOI: 10.1007/s13146-018-0435-0: 1-13.
Tyagi A.K. Bastia R. and Das M., Identification and Evaluation of the Thin Bedded Reservoir Potential in the East Coast Deep Water Basins of India, 7th International Conference & Exposition on Petroleum Geophysics, Hyderabad. 2008, 7 Pages.
Tyagi A.K. Guha R. Voleti D. and Sxena K., Challenges in The Reservoir Characterization of a Laminated Sand Shale Sequence, 2nd SPWLA-India Symposium, India. 2009, 8 Pages.
Yager, R.R., On ordered weighted averaging aggregation operators inmulti criteria decision making, IEEE Transactions on Systems, Man, and Cybernetics. 1988, 18(1): 183-190.
Yamamoto J.K., On unbiased backtransform of lognormal Kriging estimates, Computer and Geosciences. 2007, 11: 219-234.
Zhang Q. and Beveniste A., Wavelet networks, IEEE Transactions on Neural Networks. 1992, 3: 889–898.
Zhang R. Czado C. and Sigloch K., Bayesian spatial modelling for high dimensional seismic inverse problems, Applied Statistics, Series C. 2016, 65(2): 187-213.