| Rock-physics models for heavy-oil and organic-solid substitution N Saxena, G Mavko, R Hofmann, B Gurevich, S Glubokovskikh, S Aliyeva, ... The Leading Edge 35 (6), 506-510, 2016 | 11 | 2016 |
| Mask modeling using a deep learning approach A Zepka, S Aliyeva, P Kulkarni, N Chaudhary SPIE Photomask Technology + EUV Lithography 111480 (Photomask Technology 2019), 2019 | 5 | 2019 |
| Solid Substitution through Strain Concentration Tensors S Aliyeva, G Mavko SEG International Exposition and Annual Meeting, SEG-2015-5886344, 2015 | 5 | 2015 |
| Oil sands: Rock physics analysis from well data, Alberta, Canada S Aliyeva, J Dvorkin, W Zhang SEG International Exposition and Annual Meeting, SEG-2012-0861, 2012 | 4 | 2012 |
| Gassmann’s fluid substitution on thinly bedded sand-shale sequences offshore Angola S Aliyeva, M Nasser, P Dejtrakulwong, G Mavko SEG International Exposition and Annual Meeting, SEG-2013-0477, 2013 | 2 | 2013 |
| Elasticity, Electrical Conductivity and Permeability in Digital Rocks: A Comparative Study Using Simpleware, NIST, Comsol Multiphysics and Lattice-Boltzmann Algorithms S Aliyeva, A Alabbad, JP Daza, T Mukerji ARMA US Rock Mechanics/Geomechanics Symposium, ARMA-2017-0160, 2017 | 1 | 2017 |
| Detecting gaps in deep learning models used for mask process modeling K Sethi, P Kulkarni, S Aliyeva, A Zepka Photomask Technology 2020 11518, 68-75, 2020 | | 2020 |
| The choice of input data and its impact on a deep learning mask model A Zepka, P Kulkarni, S Aliyeva, K Sethi Photomask Technology 2020 11518, 76-82, 2020 | | 2020 |
| The Effect of Induced Stress Heterogeneity in Pore Space on Solid Substitution S Aliyeva Stanford University, 2017 | | 2017 |
Gary Mavko, Gerald Mavko, Gerald M...Stanford universityVerified email at stanford.edu
