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Dr. ManojKumar Gudala
Dr. ManojKumar Gudala
Post-Doctoral Fellow, DSFT, ANPERC, PSE-Division, KAUST
Verified email at kaust.edu.sa - Homepage
Title
Cited by
Cited by
Year
Kinetics of methane hydrate formation and its dissociation in presence of non-ionic surfactant Tergitol
VK Saw, M Gudala, G Udayabhanu, A Mandal, S Laik
Journal of Unconventional Oil and Gas Resources 6, 54-59, 2014
342014
Numerical investigations of the PUGA geothermal reservoir with multistage hydraulic fractures and well patterns using fully coupled thermo-hydro-geomechanical modeling
M Gudala, SK Govindarajan, B Yan, S Sun
Energy 253, 124173, 2022
322022
Numerical investigations on a geothermal reservoir using fully coupled thermo-hydro-geomechanics with integrated RSM-machine learning and ARIMA models
SKG Manojkumar Gudala
Geothermics 96, 102174, 2021
262021
Numerical investigations on two-phase fluid flow in a fractured porous medium fully coupled with geomechanics
M Gudala, SK Govindarajan
Journal of Petroleum Science and Engineering 199, 108328, 2021
212021
Hydrodynamics and energy analysis of heavy crude oil transportation through horizontal pipelines using novel surfactant
M Gudala, S Banerjee, TK Naiya, A Mandal, T Subbaiah, TRM Rao
Journal of Petroleum Science and Engineering 178, 140-151, 2019
212019
Rheological modeling and drag reduction studies of Indian heavy crude oil in presence of novel surfactant
M Gudala, S Banerjee, A Kumar, RM Rao T, A Mandal, TK Naiya
Petroleum Science and Technology 35 (24), 2287-2295, 2017
202017
Experimental investigation on hydrodynamics of two-phase crude oil flow in horizontal pipe with novel surfactant
M Gudala, S Banerjee, R Kumar, T Rama Mohan Rao, A Mandal, ...
Journal of Fluids Engineering 140 (6), 061302, 2018
192018
Spatial–temporal prediction of minerals dissolution and precipitation using deep learning techniques: An implication to Geological Carbon Sequestration
Z Tariq, EU Yildirim, M Gudala, B Yan, S Sun, H Hoteit
Fuel 341, 127677, 2023
172023
Chemical Affinity Modeling of Methane Hydrate Formation and Dissociation in the Presence of Surfactants
M Gudala, SK Govindarajan, A Mandal
Energy & Fuels 34 (1), 319-331, 2020
172020
Reservoir modeling and optimization based on deep learning with application to enhanced geothermal systems
B Yan, Z Xu, M Gudala, Z Tariq, T Finkbeiner
SPE Reservoir Characterisation and Simulation Conference and Exhibition …, 2023
162023
Numerical modeling of coupled fluid flow and geomechanical stresses in a petroleum reservoir
M Gudala, SK Govindarajan
Journal of Energy Resources Technology 142 (6), 063006, 2020
162020
Comparison of Supercritical CO2 With Water as Geofluid in Geothermal Reservoirs With Numerical Investigation Using Fully Coupled Thermo-Hydro …
M Gudala, SK Govindarajan, B Yan, S Sun
Journal of Energy Resources Technology 145 (6), 061302, 2023
152023
Numerical modelling of coupled single-phase fluid flow and geomechanics in a fractured porous media
M Gudala, SK Govindarajan
Journal of Petroleum Science and Engineering 191, 107215, 2020
142020
The effect of a bio additive on the viscosity and the energy requirement on heavy crude oil flow
M Gudala, S Banerjee, RM Rao T, TK Naiya, A Mandal
Petroleum Science and Technology 36 (2), 99-107, 2018
142018
Robust optimization of geothermal recovery based on a generalized thermal decline model and deep learning
B Yan, M Gudala, S Sun
Energy Conversion and Management 286, 117033, 2023
112023
A fast method to infer Nuclear Magnetic Resonance based effective porosity in carbonate rocks using machine learning techniques
Z Tariq, M Gudala, B Yan, S Sun, M Mahmoud
Geoenergy Science and Engineering 222, 211333, 2023
112023
Deep-Learning-Based Surrogate Model to Predict CO2 Saturation Front in Highly Heterogeneous Naturally Fractured Reservoirs: A Discrete Fracture Network …
Z Tariq, Z Xu, M Gudala, B Yan, S Sun
SPE Reservoir Characterisation and Simulation Conference and Exhibition …, 2023
72023
Remediation of Heavy Oil Transportation Problems via Pipelines Using Biodegradable Additives: An Experimental and Artificial Intelligence Approach
M Gudala, TK Naiya, SK Govindarajan
SPE Journal 26 (02), 1050–1071., 2020
72020
Physics-informed machine learning for reservoir management of enhanced geothermal systems
B Yan, Z Xu, M Gudala, Z Tariq, S Sun, T Finkbeiner
Geoenergy Science and Engineering 234, 212663, 2024
62024
Experimental and correlation development of heavy oil viscosity using bio-additives
M Gudala, S Banerjee, TK Naiya, GS Kumar
Energy & Fuels 33 (7), 6313-6326, 2019
62019
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Articles 1–20