Követés
Vikas Jain
Cím
Hivatkozott rá
Hivatkozott rá
Év
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
622013
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
522018
NMR T2 fluids substitution
CC Minh, V Jain, R Griffiths, D Maggs
SPWLA Annual Logging Symposium, SPWLA-2016-X, 2016
352016
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
182012
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
162014
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
152015
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
142019
In-situ characterization of formation constituents
KBM Gzara, V Jain
US Patent 10,209,389, 2019
132019
In-situ characterization of formation constituents
KBM Gzara, V Jain
US Patent 10,209,389, 2019
132019
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
122019
Formation Evaluation Using Hybrid Well Log Datasets
KBM Gzara, V Jain
US Patent App. 13/794,256, 2014
122014
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
102017
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?, D031S030R007, 2015
102015
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
92016
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
92014
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
82018
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
82013
Pore-structure characterization of a complex carbonate reservoir in South Iraq using advanced interpretation of NMR logs
M Saidian, V Jain, I Milad
Petrophysics 62 (02), 138-155, 2021
72021
Robust multi-dimensional inversion from wellbore NMR measurements
P Wang, V Jain, L Venkataramanan
US Patent 10,228,484, 2019
72019
Estimation of Sw from NMR T2 logging
CC Minh, V Jain, D Maggs, D Murray, YH Xiao
SPWLA Annual Logging Symposium, D033S003R004, 2018
72018
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Cikkek 1–20