| Characterization of underlying pore and fluid structure using factor analysis on NMR data V Jain, CC Minh, N Heaton, P Ferraris, L Ortenzi, MT Ribeiro SPWLA Annual Logging Symposium, SPWLA-2013-TT, 2013 | 51 | 2013 |
| Machine learning-based method for automated well-log processing and interpretation PY Wu, V Jain, MS Kulkarni, A Abubakar SEG International Exposition and Annual Meeting, SEG-2018-2996973, 2018 | 47 | 2018 |
| NMR T2 fluids substitution CC Minh, V Jain, R Griffiths, D Maggs SPWLA Annual Logging Symposium, SPWLA-2016-X, 2016 | 30 | 2016 |
| New generation magnetic resonance while drilling N Heaton, V Jain, B Boling, D Oliver, JM Degrange, P Ferraris, D Hupp, ... SPE Annual Technical Conference and Exhibition?, SPE-160022-MS, 2012 | 17 | 2012 |
| New method to estimate porosity more accuately from NMR data with short relaxation times L Venkataramanan, FK Gruber, J LaVigne, TM Habashy, JG Iglesias, ... SPWLA Annual Logging Symposium, SPWLA-2014-V, 2014 | 15 | 2014 |
| New technique for accurate porosity estimation from logging-while-drilling nuclear magnetic resonance data, NGHP-02 expedition, offshore, India V Jain, S Saumya, J Vij, J Singh, B Singh, S Pattnaik, A Oli, P Kumar, ... Marine and Petroleum Geology 108, 570-580, 2019 | 14 | 2019 |
| In-situ characterization of formation constituents KBM Gzara, V Jain US Patent 10,209,389, 2019 | 13 | 2019 |
| In-situ characterization of formation constituents KBM Gzara, V Jain US Patent 10,209,389, 2019 | 13 | 2019 |
| Evaluating producible hydrocarbons and reservoir quality in organic shale reservoirs using nuclear magnetic resonance (NMR) factor analysis T Jiang, V Jain, A Belotserkovskaya, NK Nwosu, S Ahmad SPE Canada Unconventional Resources Conference?, D021S007R007, 2015 | 13 | 2015 |
| Formation Evaluation Using Hybrid Well Log Datasets KBM Gzara, V Jain US Patent App. 13/794,256, 2014 | 12 | 2014 |
| Class-based machine learning for next-generation wellbore data processing and interpretation V Jain, PY Wu, R Akkurt, B Hodenfield, T Jiang, Y Maehara, V Sharma, ... SPWLA Annual Logging Symposium, D043S007R008, 2019 | 11 | 2019 |
| Maximizing information through data driven analytics in petrophysical evaluation of well logs V Jain, K Gzara, G Makarychev, CC Minh, D Heliot SPE Annual Technical Conference and Exhibition, 2015 | 10 | 2015 |
| Sparse Clustered Bayesian-Inspired Inversion From Borehole NMR Measurements P Wang, L Venkataramanan, V Jain IEEE transactions on computational imaging 3 (2), 355-368, 2017 | 9 | 2017 |
| A new large hole nuclear magnetic resonance logging while drilling tool for early stage formation evaluation N Bachman, V Jain, Y Gunawan, P Bonningue, N Hazboun, K Kuptsov, ... SPWLA Annual Logging Symposium, SPWLA-2016-HH, 2016 | 8 | 2016 |
| Fluid typing in variable water salinity environments: Application of geodesic transformations of LWD Time-Lapse Measurements GM Kraishan, AR Al-Belowi, ZBA Rahim, S Aramco, K Gzara, CC Minh, ... SPWLA Annual Logging Symposium, SPWLA-2014-C, 2014 | 8 | 2014 |
| How a Small Difference can make a big difference in understanding complex fluids KA Al Daghar, S Budebes, K Gzara, V Jain, CC Minh, P Hibler SPWLA Annual Logging Symposium, SPWLA-2013-O, 2013 | 8 | 2013 |
| Robust multi-dimensional inversion from wellbore NMR measurements P Wang, V Jain, L Venkataramanan US Patent 10,228,484, 2019 | 7 | 2019 |
| Formation volumetric evaluation using normalized differential data K Gzara, V Jain, AP Hibler US Patent 10,385,677, 2019 | 6 | 2019 |
| Formation volumetric evaluation using normalized differential data K Gzara, V Jain, AP Hibler US Patent 10,385,677, 2019 | 6 | 2019 |
| Next generation LWD NMR for slim holes N Heaton, D Hupp, CC Minh, V Jain, D Sargin, A Maciel, O Akindipe, ... SPWLA Annual Logging Symposium, D053S012R004, 2018 | 6 | 2018 |
Aria AbubakarSchlumbergerVerified email at slb.com
