1-12 of 12
Lalitha Venkataramanan
Close
Save search
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
Close Modal
Sort by
Proceedings Papers

Estimation of Matrix Properties from Geochemical Spectroscopy Logs Using Machine Learning

Vasileios-Marios Gkortsas, Paul Craddock, Jeffrey Miles, Harish Datir, Lalitha Venkataramanan
Paper presented at the SPWLA 63rd Annual Logging Symposium, June 11–15, 2022
Paper Number: SPWLA-2022-0103
DOI: https://doi.org/10.30632/SPWLA-2022-0103
Add To Cart
View Paper titled, Estimation of Matrix Properties from Geochemical Spectroscopy Logs Using Machine Learning
Open the PDF for Estimation of Matrix Properties from Geochemical Spectroscopy Logs Using Machine Learning in another window
Add to Citation Manager
Proceedings Papers

Enhanced Mineral Quantification and Uncertainty Analysis from Downhole Spectroscopy Logs Using Variational Autoencoders

Paul Craddock, Prakhar Srivastava, Harish Datir, David Rose, Tong Zhou, Laurent Mosse, Lalitha Venkataramanan
Paper presented at the SPWLA 62nd Annual Logging Symposium, May 17–20, 2021
Paper Number: SPWLA-2021-0069
DOI: https://doi.org/10.30632/SPWLA-2021-0069
Add To Cart
View Paper titled, Enhanced Mineral Quantification and Uncertainty Analysis from Downhole Spectroscopy Logs Using Variational Autoencoders
Open the PDF for Enhanced Mineral Quantification and Uncertainty Analysis from Downhole Spectroscopy Logs Using Variational Autoencoders in another window
Add to Citation Manager
Proceedings Papers

Automated Workflow To Indicate Reservoir Connectivity Through Asphaltene Equilibrium

Melanie Jensen, Lalitha Venkataramanan, Li Chen, Sandip Bose, Peter Tilke, Oliver C. Mullins
Paper presented at the SPWLA 62nd Annual Logging Symposium, May 17–20, 2021
Paper Number: SPWLA-2021-0113
DOI: https://doi.org/10.30632/SPWLA-2021-0113
Add To Cart
View Paper titled, Automated Workflow To Indicate Reservoir Connectivity Through Asphaltene Equilibrium
Open the PDF for Automated Workflow To Indicate Reservoir Connectivity Through Asphaltene Equilibrium in another window
Add to Citation Manager
Proceedings Papers

Automatic Facies Classification from Well Logs

Vasileios-Marios Gkortsas, Lin Liang, Yngve Bolstad Johansen, Lalitha Venkataramanan, Harish Datir
Paper presented at the SPWLA 61st Annual Logging Symposium, June 24–July 29, 2020
Paper Number: SPWLA-5075
DOI: https://doi.org/10.30632/SPWLA-5075
Add To Cart
View Paper titled, Automatic Facies Classification from Well Logs
Open the PDF for Automatic Facies Classification from Well Logs in another window
Add to Citation Manager
Proceedings Papers

Dual Neural Network Architecture for Determining Permeability and Associated Uncertainty

Ravinath Kausik, Augustin Prado, Vasileios-Marios Gkortsas, Lalitha Venkataramanan, Harish Datir, Yngve Bolstad Johansen
Paper presented at the SPWLA 61st Annual Logging Symposium, June 24–July 29, 2020
Paper Number: SPWLA-5073
DOI: https://doi.org/10.30632/SPWLA-5073
Add To Cart
View Paper titled, Dual Neural Network Architecture for Determining Permeability and Associated Uncertainty
Open the PDF for Dual Neural Network Architecture for Determining Permeability and Associated Uncertainty in another window
Add to Citation Manager
Proceedings Papers

Time-Lapse NMR and Multifrequency Dielectric Measurement Demystifying the Native Oil Properties in a Complex Injectites Reservoir; A Case Study from Norwegian Sea

Harish Datir, Artur Kotwicki, Lalitha Venkataramanan, Kevin Best, Ingeborg Tøllefsen, Tone Riber Endresen
Paper presented at the SPWLA 61st Annual Logging Symposium, June 24–July 29, 2020
Paper Number: SPWLA-5089
DOI: https://doi.org/10.30632/SPWLA-5089
Add To Cart
View Paper titled, Time-Lapse NMR and Multifrequency Dielectric Measurement Demystifying the Native Oil Properties in a Complex Injectites Reservoir; A Case Study from Norwegian Sea
Open the PDF for Time-Lapse NMR and Multifrequency Dielectric Measurement Demystifying the Native Oil Properties in a Complex Injectites Reservoir; A Case Study from Norwegian Sea in another window
Add to Citation Manager
Proceedings Papers

Reservoir Producibility Index (RPI) Based on 2D T 1 - T 2 NMR Logs

Ravinath Kausik, Tianmin Jiang, Lalitha Venkataramanan, Albina Mutina, Erik Rylander, Rick Lewis
Paper presented at the SPWLA 60th Annual Logging Symposium, June 15–19, 2019
Paper Number: SPWLA-2019-Q
DOI: https://doi.org/10.30632/T60ALS-2019_Q
Add To Cart
View Paper titled, Reservoir Producibility Index (RPI) Based on 2D T 1 - T 2 NMR Logs
Open the PDF for Reservoir Producibility Index (RPI) Based on 2D T 1 - T 2 NMR Logs in another window
Add to Citation Manager
Proceedings Papers

Downhole Neutron-Induced Spectroscopy Element and Mineral Estimates Compared to a Ring-Tested Core Reference

Yngve Bolstad Johansen, Olav-Magnar Nes, Harish Datir, Paul R. Craddock, Lalitha Venkataramanan
Paper presented at the SPWLA 60th Annual Logging Symposium, June 15–19, 2019
Paper Number: SPWLA-2019-OOOO
DOI: https://doi.org/10.30632/T60ALS-2019_OOOO
Add To Cart
View Paper titled, Downhole Neutron-Induced Spectroscopy Element and Mineral Estimates Compared to a Ring-Tested Core Reference
Open the PDF for Downhole Neutron-Induced Spectroscopy Element and Mineral Estimates Compared to a Ring-Tested Core Reference in another window
Add to Citation Manager
Proceedings Papers

An Unsupervised Learning Algorithm To Compute Fluid Volumes From NMR T 1 -T 2 Logs in Unconventional Reservoirs

Lalitha Venkataramanan, Noyan Evirgen, David F. Allen, Albina Mutina, Qun Cai, Andrew C. Johnson, Aaron Y. Green, Tianmin Jiang
Paper presented at the SPWLA 59th Annual Logging Symposium, June 2–6, 2018
Paper Number: SPWLA-2018-Y
Add To Cart
View Paper titled, An Unsupervised Learning Algorithm To Compute Fluid Volumes From NMR T 1 -T 2 Logs in Unconventional Reservoirs
Open the PDF for An Unsupervised Learning Algorithm To Compute Fluid Volumes From NMR T 1 -T 2 Logs in Unconventional Reservoirs in another window
Add to Citation Manager
Proceedings Papers

Estimating In-Situ Relative Permeability and Capillary Pressure From Multiphysics Wireline Measurements

Lin Liang, Lalitha Venkataramanan, Shihao Wang, Fábio C. Canesin, Vasileios-Marios Gkortsas, Koksal Cig, Aria Abubakar, Tarek M. Habashy
Paper presented at the SPWLA 59th Annual Logging Symposium, June 2–6, 2018
Paper Number: SPWLA-2018-QQQQ
Add To Cart
View Paper titled, Estimating In-Situ Relative Permeability and Capillary Pressure From Multiphysics Wireline Measurements
Open the PDF for Estimating In-Situ Relative Permeability and Capillary Pressure From Multiphysics Wireline Measurements in another window
Add to Citation Manager
Proceedings Papers

Sparse Bayesian T 1 -T 2 Inversion from Borehole NMR Measurements

Pu Wang, Vikas Jain, Lalitha Venkataramanan
Paper presented at the SPWLA 57th Annual Logging Symposium, June 25–29, 2016
Paper Number: SPWLA-2016-YY
Add To Cart
View Paper titled, Sparse Bayesian T 1 -T 2 Inversion from Borehole NMR Measurements
Open the PDF for Sparse Bayesian T 1 -T 2 Inversion from Borehole NMR Measurements in another window
Add to Citation Manager
Proceedings Papers

New Method to Estimate Porosity More Accuately From NMR Data With Short Relaxation Times

Lalitha Venkataramanan, Fred K. Gruber, Jack LaVigne, Tarek M. Habashy, Jorge G. Iglesias, Vivek Anand, Mansoor A. Rampurawala, Vikas Jain, Nick Heaton, Ridvan Akkurt, Erik Rylander, Rick Lewis
Paper presented at the SPWLA 55th Annual Logging Symposium, May 18–22, 2014
Paper Number: SPWLA-2014-V
Add To Cart
View Paper titled, New Method to Estimate Porosity More Accuately From NMR Data With Short Relaxation Times
Open the PDF for New Method to Estimate Porosity More Accuately From NMR Data With Short Relaxation Times in another window
Add to Citation Manager

Product(s) added to cart

Go to Cart Continue Browsing
Close Modal