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Ashwin Venkatraman
Observed name:
A. Venkatraman
Observed institutions:
Indian Institute of Technology Jodhpur,
ETH Zurich,
Shell (United States),
Shell (United Kingdom),
Shell (Netherlands),
The University of Texas at Austin
show all 6
ORCID:
0000-0001-5311-9214
Observed ORCID:
0000-0001-5311-9214
OpenAlex ID:
A5049582283
On the prediction of gas solubility in brine solutions with single or mixed salts: Applications to gas injection and CO2 capture/sequestration
2020
·
Ram R. Ratnakar
, Ashwin Venkatraman
, et al.
·
Journal of Natural Gas Science and Engineering
·
56
Fractional Flow Theory Applicable to Non-Newtonian Behavior in EOR Processes
2011
·
W. R. Rossen
, A. Venkatraman
, et al.
·
Transport in Porous Media
·
30
Analytical solutions for flow in porous media with multicomponent cation exchange reactions
2014
·
Ashwin Venkatraman
, Marc A. Hesse
, et al.
·
Water Resources Research
·
27
Gibbs Free Energy Minimization for Prediction of Solubility of Acid Gases in Water
2014
·
Ashwin Venkatraman
, Larry W. Lake
, et al.
·
Industrial & Engineering Chemistry Research
·
27
Modeling Effect of Geochemical Reactions on Real-Reservoir-Fluid Mixture During Carbon Dioxide Enhanced Oil Recovery
2017
·
Ashwin Venkatraman
, Birol Dindoruk
, et al.
·
SPE Journal
·
16
Prediction and Experimental Measurements of Water-in-Oil Emulsion Viscosities During Alkaline/Surfactant Injections
2012
·
Amrit Kalra
, Ashwin Venkatraman
, et al.
·
Oil and Gas Facilities
·
13
Integration of Capacitance Resistance Model with Reservoir Simulation
2020
·
Davud Davudov
, Anton Malkov
, et al.
·
SPE Improved Oil Recovery Conference
·
12
Modelling the impact of geochemical reactions on hydrocarbon phase behavior during CO2 gas injection for enhanced oil recovery
2015
·
Ashwin Venkatraman
, Larry W. Lake
, et al.
·
Fluid Phase Equilibria
·
12
Machine Learning Assisted Well Placement Optimization
2023
·
Davud Davudov
, Ashwin Venkatraman
, et al.
·
SPE Western Regional Meeting
·
9
A Comprehensive Analysis of Data Driven Techniques to Quantify Injector Producer Relationships
2023
·
Tobi Ore
, Davud Davudov
, et al.
·
SPE Gas & Oil Technology Showcase and Conference (GOTECH)
·
9
Combining Capacitance Resistance Model with Geological Data for Large Reservoirs
2021
·
Davud Davudov
, Ademide O. Mabadeje
, et al.
·
SPE Annual Technical Conference and Exhibition
·
8
A New Continuous Waterflood Operations Optimization for a Mature Oil Field by using Analytical Workflows that Improve Reservoir Characterization
2019
·
Atul Yadav
, Anton Malkov
, et al.
·
SPE Gas & Oil Technology Showcase and Conference (GOTECH)
·
8
On the Prediction of Gas Solubility in Brine Solutions for Applications of CO2 Capture and Sequestration
2018
·
Ram R. Ratnakar
, Ashwin Venkatraman
, et al.
·
SPE Annual Technical Conference and Exhibition
·
8
Special issue: Formation damage during enhanced gas and liquid recovery
2016
·
Bin Yuan
, Pavel Bedrikovetsky
, et al.
·
Journal of Natural Gas Science and Engineering
·
8
Gibbs free energy minimization for flow in porous media
2014
·
Ashwin Venkatraman
·
Texas ScholarWorks (Texas Digital Library)
·
8
A New Qualitative and Quantitative Analytics Approach on Waterflood Operations Data for Improving Oil Recovery
2019
·
A. Venkatraman
, A. Malkov
, et al.
·
European Symposium on Improved Oil Recovery (IOR)
·
6
Experimental investigation of power quality disturbances associated with grid integrated wind energy system
2017
·
Ashwin Venkatraman
, Kandarpa Sai Paduru
, et al.
·
International Conference on Advanced Computing and Communication Systems (ICACCS)
·
6
Gibbs Free Energy Minimization for Reactive Flow in Porous Media
2013
·
Ashwin Venkatraman
, Larry W. Lake
, et al.
·
SPE Annual Technical Conference and Exhibition
·
6
A Novel Approach to Combine Models to Evaluate Interwell Connectivity in a Waterflooded Reservoir with Limited Injection History
2023
·
Yanfidra Djanuar
, Qingfeng Huang
, et al.
·
SPE Gas & Oil Technology Showcase and Conference (GOTECH)
·
5
A Hybrid Neural Workflow for Optimal Water-Alternating-Gas Flooding
2023
·
Gurpreet Singh
, Davud Davudov
, et al.
·
SPE Reservoir Characterisation and Simulation Conference and Exhibition
·
5
Integration of artificial neural network and fast marching method for rate prediction in unconventional reservoir
2024
·
D. Davudov
, U. Odi
, et al.
·
Geoenergy Science and Engineering
·
4
A Comprehensive Review of Machine Learning Application to Flash Calculations in Compositional Reservoir Simulators
2024
·
Ravan Farmanov
, Emad W. Al-Shalabi
, et al.
·
Abu Dhabi International Petroleum Exhibition & Conference (ADIPEC)
·
4
A Computationally Efficient Solution Algorithm for Least Absolute Value State Estimation Problem
2019
·
Ashwin Venkatraman
, Dmitry Shchetinin
, et al.
·
IEEE PES Innovative Smart Grid Technologies Europe
·
4
Hybrid machine learning framework for multi-well trajectory optimization in an unconventional field
2024
·
D. Davudov
, U. Odi
, et al.
·
Gas Science and Engineering
·
3
A Data-Driven Approach to Optimize WAG Injection in a Large Carbonate Field
2024
·
D. Davudov
, A. Agarwal
, et al.
·
SPE Improved Oil Recovery Conference
·
3
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Works count:
46
Citation count:
320
H-index:
9
I10-index:
8
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