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Tahmasebi Research Group

 

 

 

Physical Review Letters

Geophysical Research Letters

Water Resources Research

Scientific Reports

Computers and Geotechnics

Advances in Water Resources

Granular Matter

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Computers and Geosciences

Computational Geosciences

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JOURNALS (Peer-reviewed)

* indicates the corresponding author

-- The conference papers are not included in this list --

[Google Scholar Profile]

  1. Kamrava, S., Tahmasebi, P., Sahimi, M., 2019, Enhancing images of shale formations by a hybrid stochastic and deep learning algorithm, Neural Networks, DOI: 10.1016/j.neunet.2019.07.009 (Download PDF)
  2. Zhang, X., Tahmasebi*, P., 2018, Effects of Grain Size on Deformation in Porous Media, Transport in Porous Media, DOI: 10.1007/s11242-019-01291-1 (Download PDF)
  3. Wu, Y., Tahmasebi*, P., C Lin, L Ren, C Dong,  2019, Multiscale modeling of shale samples based on low- and high-resolution images, Marine and Petroleum Geology, DOI: 10.1016/j.marpetgeo.2019.06.006 (Download PDF)
  4. Wu, Y., Tahmasebi*, P., C Lin, MJ Munawar, V Cnudde,  2019, Effects of micropores on geometric, topological and transport properties of pore systems for low-permeability porous media, Journal of Hydrology, DOI: 10.1016/j.jhydrol.2019.05.014 (Download PDF)
  5. Wu, Y., Tahmasebi*, P., Lin, C., Zahid, M.A., Dong, C., Golab, A.N. , Ren, L.,  2019, A comprehensive study on geometric, topological and fractal characterizations of pore systems in low-permeability reservoirs based on SEM, MICP, NMR, and X-ray CT experiments, Marine and Petroleum Geology, DOI: 10.1016/j.marpetgeo.2019.02.003 (Download PDF)
  6. Karimpouli, S., Tahmasebi*, P., 2019, Segmentation of Digital Rock Images Using Deep Convolutional Autoencoder Networks, Computers and Geosciences, DOI: 10.1016/j.cageo.2019.02.003 (Download PDF)
  7. Tahmasebi*, P., Kamrava, S.,  2019, A Pore-Scale Mathematical Modeling of Fluid-Particle Interactions: Thermo-Hydro-Mechanical Coupling, International Journal of Greenhouse Gas Control, DOI: 10.1016/j.ijggc.2018.12.014. (Download PDF)
  8. Karimpouli, S., Tahmasebi*, P., 2019, Image-based Velocity Estimation of Rock Using Convolutional Neural Networks, Neural Networks, DOI: 10.1016/j.neunet.2018.12.006 (Download PDF)
  9. Tahmasebi*, P., Kamrava, S.,  2018, Rapid multiscale modeling of flow in porous media, Physical Review E, DOI: 10.1007/s11242-018-1062-x. (Download PDF)
  10. Fagbemi, S., Tahmasebi*, P., Piri, M., 2018, Pore-scale Modeling of Multiphase Flow through Porous Media under Triaxial Stress, Advances in Water Resources, DOI:  10.1016/j.advwatres.2018.10.018 (Download PDF)
  11. Zhang, X., Tahmasebi*, P., 2018, Micromechanical evaluation of rock and fluid interactions, International Journal of Greenhouse Gas Control, DOI: 10.1016/j.ijggc.2018.07.018 (Download PDF)
  12. Karimpouli*, S., Tahmasebi, P., 2018, 3D Multifractal Analysis of Porous Media Using 3D Digital Images: Considerations for heterogeneity evaluation, Geophysical Prospecting, DOI: 10.1111/1365-2478.12681 (Download PDF)
  13. Tahmasebi*, P., 2018, Packing of discrete and irregular particles, Computers and Geotechnics, DOI: 10.1016/j.compgeo.2018.03.011. (Download PDF)
  14. Fagbemi, S., Tahmasebi*, P., Piri, M., 2018, Interaction Between Fluid and Porous Media with Complex Geometries: A Direct Pore‐Scale Study, Water Resources Research, DOI:  10.1029/2017WR022242 (Download PDF)
  15. Tahmasebi*, P., Sahimi, M., 2018, A Stochastic Multiscale Algorithm for Modeling Complex Granular Materials, Granular Matter, DOI: 110.1007/s10035-018-0816-z. (Download PDF)
  16. Tahmasebi*, P., Sahimi, M., Shirangi, M., 2018, Rapid learning-based and geologically consistent history matching, Transport in Porous Media, DOI: 10.1007/s11242-018-1005-6. (Download PDF)
  17. Tahmasebi*, P., Kamrava, S.,  2018, A Multiscale Approach for Geologically and Flow Consistent Modeling, Transport in Porous Media, DOI: 10.1007/s11242-018-1062-x. (Download PDF)
  18. Karimpouli*, S., Tahmasebi, P., Saenger, E., 2018, Estimating 3D elastic moduli of rock from 2D thin section images using Differential Effective Medium Theory, Geophysics, DOI: 10.1190/geo2017-0504.1 (Download PDF)
  19. Tahmasebi*, P., 2018, Accurate modeling and evaluation of microstructures in complex materials, Physical Review E, DOI: 110.1103/PhysRevE.97.023307. (Download PDF)
  20. Tahmasebi*, P., 2018, Nanoscale and multiresolution models for shale samples, Fuel, DOI: 10.1016/j.fuel.2017.12.107. (Download PDF)
  21. Tahmasebi, P., Javadpour*, F., Frébourg, G., 2018, Geological Modeling of Eagle Ford Facies Continuity Based on Outcrop Images and Depositional Processes, SPE J, DOI: 10.2118/189975-PA. (Download PDF)
  22. Tahmasebi*, P., 2018, Rapid Learning-Based and Geologically Consistent History Matching, Transport in Porous Media, DOI: 10.1007/s11242-018-1005-6. (Download PDF)
  23. Tahmasebi*, P., 2017, HYPPS: A hybrid geostatistical modeling algorithm for subsurface modeling, Water Resources Research, DOI: 10.1002/2017WR021078. (Download PDF)
  24. Tahmasebi*, P., Javadpour, F., Sahimi, M., 2017, Data Mining and Machine Learning for Identifying Sweet Spots in Shale Reservoirs, Expert Systems with Applications, DOI: 10.1016/j.eswa.2017.07.015. (Download PDF)
  25. Karimpouli, S., Tahmasebi*, P., Ramandi, H, Mostaghimi, P., Saadatfar, M., 2017, Stochastic Modeling of Coal Fracture Network by Direct Use of Micro-Computed Tomography Images. DOI: 10.1016/j.coal.2017.06.002 (Download PDF)
  26. Tahmasebi*, P., Sahimi, M., Andrade, J., 2017, Image-Based Modeling of Granular Porous Media, Geophysical Research Letters, DOI: 10.1002/2017GL073938. (Download PDF)
  27. Tahmasebi*, P., 2016, Structural Adjustment for Accurate Conditioning in Large-Scale Subsurface Systems, Advances in Water Resources, DOI: j.advwatres.2017.01.009. (Download PDF)
  28. Tahmasebi, P., Sahimi, M., Kohanpour, A., Valocchi, A., 2016, Pore-Scale Simulation of Flow of CO2 and Brine in Reconstructed and Actual 3D Cores, Journal of Petroleum Science and Engineering. DOI: 10.1016/j.petrol.2016.12.031. (Download PDF)
  29. Karimpouli*, S., Tahmasebi, P., 2016, A Hierarchical Sampling for Capturing Permeability Trend in Rock Physics. DOI: 10.1007/s11242-016-0812-x (Download PDF)
  30. Tahmasebi*, P., Javadpour, F., Sahimi, M., 2016, Stochastic shale permeability matching: Three-dimensional characterization and modeling, International Journal of Coal Geology. DOI: 10.1016/j.coal.2016.08.024. (Download PDF)
  31. Karimpouli*, S., Tahmasebi*, P., 2016, Conditional reconstruction: An alternative strategy in digital rock physics, Geophysics. DOI: 10.1190/geo2015-0260.1 (Download PDF)
  32. Tahmasebi*, P., Javadpour, F., Sahimi, M., Piri, M., 2016, Multiscale study for stochastic characterization of shale samples, Advances in Water Resources, DOI: 10.1016/j.advwatres.2016.01.008. (Download PDF)
  33. Tahmasebi*, P., Sahimi, M., 2016, Enhancing multiple-point geostatistical modeling: 2. Iterative simulation and multiple distance function, Water Resources Research, DOI: 10.1002/2015WR017807. (Download PDF)
  34. Tahmasebi*, P., Sahimi, M., 2016, Enhancing multiple-point geostatistical modeling: 1. Graph theory and pattern adjustment, Water Resources Research, DOI: 10.1002/2015WR017806. (Download PDF)
  35. Tahmasebi*, P., Javadpour, F., Sahimi, M., 2015, Multiscale and multiresolution modeling of shales and their flow and morphological properties, Scientific Reports, Nature Publishing Group, DOI:10.1038/srep16373. (Download PDF)
  36. Tahmasebi*, P., Javadpour, F., Sahimi, M., 2015, 3D stochastic characterization of shale SEM images, Transport in Porous Media, DOI: 10.1007/s11242-015-0570-1. (Download PDF)
  37. Tahmasebi*, P., Sahimi, M., 2015, Reconstruction of Nonstationary Disordered Materials and Media: Watershed Transform and Cross-Correlation Function, Physical Review E, DOI: 10.1103/PhysRevE.00.002400. (Download PDF)
  38. Scheidt, C., Tahmasebi, P., Pontiggia, M., Pra, A Da., Caers, J., 2015, Updating joint uncertainty in trend and depositional scenario for reservoir exploration and early appraisal, Computational Geosciences, DOI: 10.1007/s10596-015-9491-x. (Download PDF)
  39. Tahmasebi*, P., Sahimi, M., 2015, Geostatistical Simulation and Reconstruction of Porous Media by a Cross-Correlation Function and Integration of Hard and Soft Data, Transport in Porous Media, DOI: 10.1007/s11242-015-0471-3. (Download PDF)
  40. Hashemi, S., Javaherian*, A., Ataee-pour, M., Tahmasebi, P., & Khoshdel, H. 2014. Channel characterization using multiple-point geostatistics, neural network, and modern analogy, a case study from a carbonate reservoir, southwest Iran. Journal of Applied Geophysics. DOI: 10.1016/j.jappgeo.2014.09.015. (Download PDF)
  41. Rezaee, H., Marcotte*, D., Tahmasebi, P., & Saucier, A. 2014. Multiple-point geostatistical simulation using enriched pattern databases. Stochastic Environmental Research and Risk Assessment, 1-21. DOI: 10.1007/s00477-014-0964-6. (Download PDF)
  42. Tahmasebi, P., Sahimi, M., Caers*, J., 2014. MS-CCSIM: Accelerating pattern-based geostatistical simulation of categorical variables using a multi-scale search in Fourier space, Computers & Geosciences, 75-88(67). DOI: 10.1016/j.cageo.2014.03.009/. (Download PDF)
  43. Mahmud*, K., Mariethoz, G., Caers, J., Tahmasebi, P., Baker, A., 2014. Simulation of Earth textures by conditional image quilting, Water Resources Research, 50, DOI: 10.1002/2013WR015069.
  44. Tan, X., Tahmasebi, P., Caers*, J., 2013. A distance-based, multiple-point methodology for comparing geostatistical simulation algorithms, Mathematical Geosciences, DOI: 10.1007/s11004-013-9482-1.  (Download PDF)
  45. Tahmasebi, P., Sahimi*, M., 2013. Cross-correlation function for accurate description and reconstruction of heterogeneous materials and media, Physical Review Letters, 110 (7), 078002. DOI: 10.1103/PhysRevLett.110.078002. (Download PDF)
  46. Tahmasebi, P., Sahimi*, M., 2012. Reconstruction of three-dimension porous media using a single thin section, Physical Review E 85, 066709. DOI: 10.1103/PhysRevE.85.066709. (Download PDF)
  47. Tahmasebi*, P., Hezarkhani, A., 2012. A fast and independent architecture of artificial neural network for permeability prediction, Journal of Petroleum Science and Engineering, DOI: 10.1016/j.petrol.2012.03.019. (Download PDF)
  48. Mafakheri*, E, Tahmasebi, P., Ghanbari, D., 2012. Application of artificial neural networks for prediction of coercivity of highly ordered cobalt nanowires synthesized by pulse electrodeposition, Journal of Measurement, DOI: 10.1016/j.measurement.2012.03.027.
  49. Tahmasebi*, P., Sahimi, M., Mariethoz, G., Hezarkhani, A. 2012. Accelerating geostatistical simulations using graphics processing Units, Computers & Geosciences, DOI: 10.1016/j.cageo.2012.03.028. (Download PDF)
  50. Tahmasebi, P., Hezarkhani, A., Sahimi*, M., 2012. Multiple-point geostatistical modeling based on the cross-correlation functions, Computational Geosciences, DOI: 10.1007/s10596-012 9287-1. (Download PDF)
  51. Tahmasebi*, P., Hezarkhani, A., 2012. Application of Genetic Algorithm and a Coactive Neuro-Fuzzy Inference System for Grade Estimation, Computers & Geosciences, doi: 10.1016/j.cageo.2012.02.004. (Download PDF)
  52. Tahmasebi, P., Hezarkhani, A., 2011. Application of neural-fuzzy-genetic algorithm for grade estimation, Journal of Earth Science, 6(12):1-9.
  53. Asadi, J., Tahmasebi*, P., 2011. Comparative Evaluation of Back-Propagation Neural Network Learning Algorithms and Empirical Correlations for Prediction of Oil PVT Properties, Journal of Petroleum Science and Engineering, DOI: 10.1016/j.petrol.2011.06.024. (Download PDF)
  54. Tahmasebi*, P., Hezarkhani, A., Asghari, O., 2010. Application of artificial neural network for alteration separation, Probabilistic Neural Networks (PNNs), Journal of Earth Sciences, 77:41-46.
  55. Tahmasebi*, P., Hezarkhani, A., 2011. A Global Strategy for Artificial Neural Network Designing in Petroleum Applications, Journal of Earth Sciences, 81:31-36.
  56. Tahmasebi*, P., Hezarkhani, A., 2011. Application of a Modular Feedforward for Grade Estimation, Natural Resources Research, 20(1), 25-32. DOI: 10.1007/s11053-011-9135-3. (Download PDF)
  57. Motrazavi, M., Tahmasebi*, P., Hezarkhani, A., 2010. Element mobility in alteration zones within Miduk porphyry copper deposit, Australian Journal of Basic and Applied Sciences 4(2): 197-207.
  58. Tahmasebi*, P., Hezarkhani, A., 2010. Application of Adaptive Neuro-Fuzzy Inference System for Grade Estimation, Australian Journal of Basic and Applied Sciences 4(3):408-420.
  59. Tahmasebi*, P., Hezarkhani, A., 2010. Application of Discriminant and Principal Components Analysis for Alteration Separation, Australian Journal of Basic and Applied Sciences 6(4): 564-576.
  60. Tahmasebi*, P., Hezarkhani, A., 2010. Comparison of Optimized Neural Networks with Fuzzy Logic for Ore Grade Estimation, Australian Journal of Basic and Applied Sciences 4(5): 764-772.
  61. Hezarkhani*, A., Tahmasebi, P., 2009. Element mobility in alteration zones, Journal of Sharif University, 26(3)-121-132.

     

    BOOK CHAPTERS 

  62. Tahmasebi*, P., 2018, Multiple-point statistics, Handbook of Mathematical Geosciences: Fifty Years of IAMG, Edited by B. S. Daya Sagar, Qiuming Cheng and Frits Agterberg, Springer, Netherlands. (Download PDF)
  63. Tahmasebi*, P., Sahimi, M., 2015, Geostatistical simulation and reconstruction of porous media, Handbook of porous media, 3rd edition, Edited by Kambiz Vafai, CRC Press, Baton Rouge, pp. 869-890.
  64. Tahmasebi*, P., Mariethoz, G., 2013, Geostatistics Applications in Hydrology. In: Handbook of Engineering Hydrology: Modeling, Climate Change, and Variability, Taylor & Francis, ISBN 9781466552463.

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