Profile
Keywords: Reservoir Engineering, Machine Learning, Real time optimization, Unconventional oil and gas, CO2 Sequestration, Data Analytics, Heavy Oil, Enhanced Oil Recovery, Reinforcement Learning, Polymers, Chemical EOR, Gas EOR
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Projects
Updates on development of real-time optimization frameworks and machine learning algorithms Presentation at the 4th joint CFREF workshop between UAlberta & UCalgaryT07-C02 University of Alberta Activity 2019-03-21 T07-C02 Machine learning models and advanced optimization techniques for thermal/thermal-solvent recovery optimization Annual CFREF project meetingT07-C02 University of Alberta Activity 2019-03-22 Trivedi, J. , Jose Leonardo Guevara Urdaneta, Najmudeen Sibaweihi, Ian Gates
T07-C02 Data analytics and integration for oilfield development Meeting between executives from Orazul Energy (Peru) and Dr. Trivedi research group (U of A) to discuss the possible collaboration for the development of the oilfield including reservoir characterization, data integration, and optimization.T07-C02 University of Alberta Activity 2018-08-22 Trivedi, J. , Rajan Patel,
" Carlos Montes
" ,
" Ronald Mendoza
" , Cesar Vega Medina,
" Johnny Rebaza
" , Yenny Carolina Arambula Becerra
T07-C02 Optimization of reservoir operations for an oilfied in Peru Meeting between executive from Petroperu (Peru) and Dr. Trivedi research group (U of A) to discuss the possible collaboration for the optimization of waterflooding operations in Peruvian oilfield.T07-C02 University of Alberta Activity 2018-08-23 Trivedi, J. , Rajan Patel,
" Carlos Montes
" , Yenny Carolina Arambula Becerra
T07-C02 Upstream Oil & Gas Industry: Past, Present and Future Invited talk organized by CAREC, Peru at the University of Cusco to discuss various aspects of the oil and gas industry in Canada (including thermal EOR, reservoir simulation, machine learning, and artificial intelligence) among undergraduate students.T07-C02 University of Alberta Activity 2018-08-27 Trivedi, J. , Rajan Patel, Yenny Carolina Arambula Becerra
T07-C02 Stimulation of Mature Oilfields A 5-day workshop delivered on stimulation techniques for mature oilfields as part of the collaboration with CAREC to promote the latest research in the Peruvian oil industry.T07-C02 University of Alberta Activity 2018-05-07 T07-C02 Closed-Loop Reservoir Management Using Nonlinear Model Predictive Control: A Field Case Study Poster presentation at ECMOR XVI (full-length paper published)T07-C02 University of Alberta Publication 2018-09-03 Rajan Patel, Jose Leonardo Guevara Urdaneta,
Trivedi, J. T07-C02 Performance Assessment of Ensemble Kalman Filter and Markov Chain Monte Carlo under Forecast Model Uncertainty Oral presentation at ECMOR XVI (full-length paper published)
T07-C02 University of Alberta Publication 2018-09-06 T07-C02 Optimization of Steam Injection for Heavy Oil Reservoirs Using Reinforcement Learning Oral presentation at SPE International Heavy Oil Conference and Exhibition 2018 (full-length paper published)
T07-C02 University of Alberta Publication 2018-12-10 Jose Leonardo Guevara Urdaneta, Rajan Patel,
Trivedi, J. T07-C02 Reservoir Management and Advanced Optimization for Thermal and Thermal-Solvent based Recovery Processes using Scaled Models and Machine Learning - Current Status Poster Presentation at Second FES Annual Open HouseT07-C02 University of Alberta Activity 2018-10-03 T07-C02 Real-Time Production Optimization of Steam-Assisted-Gravity-Drainage Reservoirs Using Adaptive and Gain-Scheduled Model-Predictive Control: An Application to a Field Model Journal article presenting two novel workflows to handle nonlinear reservoir dynamics using model predictive control.T07-C02 University of Alberta Publication 2019-02-01 T07-C02 Performance of ensemble Kalman filter and Markov chain Monte Carlo under uncertainty in forecast model Journal article that evaluates and compares the performance of EnKF and MCMC using polynomial chaos expansion (PCE) based forecast model.T07-C02 University of Alberta Publication 2019-01-21 T07-C02 Performance of ensemble Kalman filter and Markov chain Monte Carlo under uncertainty in forecast model Journal article that evaluates and compares the performance of EnKF and MCMC using polynomial chaos expansion (PCE) based forecast model. T07-C02 University of Alberta Publication 2019-06-01 T07-C02 Low Salinity Water Injection in a Clastic Reservoir in Northeast Brazil: An Experimental Case Study Oral presentation at SPE Trinidad and Tobago Section Energy Resources Conference (full-length paper published)T02-P05 University of Alberta Publication 2018-06-25 " Alana Almeida
" , Rajan Patel, Yenny Carolina Arambula Becerra,
Trivedi, J. ,
" Joao Soares
" ,
" Gloria Costa
" ,
" Marcelo Embirucu
" T02-P05 The Effect of Surfactant and Brine Type on Zeta Potential and Oil Recovery During Low Salinity Water Flooding in Carbonate Rocks Oral presentation that evaluates the potential of different classes of surfactants in smart salinity to alter the wettability of an oil-wet tight carbonate rock for a better reservoir development strategy. The electrokinetic effects at the fluid-fluid and rock-fluid interfaces are studied via zeta potential measurements under varying brine compositions and salinity. Results indicate that ionic surfactants seem to be more promising for these kinds of rocks.T02-P05 University of Alberta Activity 2018-10-28 T02-P05 Effect of Surfactant Type, Rock Type, Brine Salinity and Ionic Composition on Zeta Potential and Phase Behavior: An Experiemental Approach Poster presentation on comparison of smart water and surfactant performance in sandstone and carbonate rocks via zeta potential and phase behavior results. Results are indicative that an optimal slug perculiar to each rock type must be designed.T02-P05 University of Alberta Activity 2018-07-03 T02-P05 Static and Dynamic Performance ofWet Foam and Polymer-Enhanced Foam in the Presence of Heavy Oil The study aims to investigate the static and dynamic performances of foam and polymer-enhanced foam (PEF) in the presence of heavy oil.T02-P05, T07-C01 University of Alberta Publication 2018-09-08 T02-P05, T07-C01 Evaluating the Performance of CO2 Foam and CO2 Polymer Enhanced Foam for Heavy Oil Recovery: Laboratory Experiments in Unconsolidated and Consolidated Porous Media The current study aims to evaluate the performance of CO2 foam and CO2 PEF during heavy oil recovery
from both unconsolidated (i.e. sandpack) and consolidate (rock sample) porous media with the help of fluid
flow experiments.T02-P05, T07-C01 University of Alberta Publication 2018-12-10 T02-P05, T07-C01 A Novel Viscoelastic Model for Predicting the Viscoelastic Behavior of Synthetic Polymers using Direct Extensional Rheological Measurements Our novel viscoelastic model named as Azad Trivedi Viscoelastic Model(AT-VEM) could predict the apparent viscosity in the shear thickening region using the extension parameters measured by capillary breakup extensional rheometer (CaBER) through the combination of Upper Convected Maxwell (UCM), finite extensible nonlinear elasticity (FENE) and power law theories. T07-C02 University of Alberta Publication 2018-07-30 T07-C02 Novel Viscoelastic Model for Predicting the Synthetic Polymer’s Viscoelastic Behavior in Porous Media Without Core Flood Oral presentation on a novel viscoelastic model that can predict the polymer's behavior without performing any core-flood experiments.T07-C02 University of Alberta Activity 2018-07-03 T07-C02 Extensional Rheological Data from Ex-situ Measurements for Predicting Porous Media Behaviour of the Viscoelastic EOR Polymers In this article, extensional rheological data of various polymer solutions to be used in Azad Trivedi viscoelastic model (AT-VEM) for predicting the viscoelastic behavior of synthetic polymer in porous media are provided. T07-C01 University of Alberta Publication 2018-10-01 T07-C01 Does Polymer's Viscoelasticity Influence Heavy Oil Sweep Efficiency and Injectivity at 1ft/day? In this paper, the influence of viscous (shear) resistance and elastic (extensional) resistance of viscoelastic polymer on the mobile heavy oil recovery and injectivity is investigated through the combination of bulk shear/extensional rheology and single phase, and multiphase core flood experiments at typical reservoir flooding rate of 1 ft/day.T07-C01 University of Alberta Publication 2018-12-10 T07-C01 Extensional Rheological Role on the Viscoelastic Polymer Flooding: Unanswered Questions, Myth or Reality? Oral presentation on the role of extensional rheology in viscoelastic polymer flooding.T07-C01 University of Alberta Activity 2018-10-28 T07-C01 Investigating the Viscoelastic Polymer’s Rheological Influences on the Sweep Efficiency and Injectivity During Heavy Oil Recovery Applications Oral presentation on how viscoelastic polymer influences sweep efficiency and injectivity in heavy oil reservoirs.T07-C01 University of Alberta Activity 2018-10-28 T07-C01 Single-Step Silica Nanofluid for Improved Carbon Dioxide Flow and Reduced Formation Damage in Porous Media for Carbon Utilization T07-C01 University of Alberta Publication 2020-04-01 T07-C01 Quantification of the viscoelastic effects during polymer flooding: a critical review T07-C01, T07-C02 University of Alberta Publication 2020-03-23 T07-C01, T07-C02 Evaluation of Polymer-Assisted Carbonated Water Injection in Sandstone Reservoir: Absorption Kinetics, Rheology, and Oil Recovery Results T02-P05, T07-C01 University of Alberta Publication 2019-06-01 T02-P05, T07-C01 Real-Time Steam Allocation Workflow Using Machine Learning for Digital Heavy Oil Reservoirs T07-C02 University of Alberta Activity 2019-04-01 Najmudeen Sibaweihi, Rajan Patel, Jose Leonardo Guevara Urdaneta, Ian Gates,
Trivedi, J. T07-C02 Does Polymer& rsquo$\mathsemicolon$s Viscoelasticity Influence Heavy-Oil Sweep Efficiency and Injectivity at 1 ft/D? T07-C01, T07-C02 University of Alberta Publication 2019-12-01 T07-C01, T07-C02 Optimization of steam injection in SAGD using reinforcement learning T07-C02 University of Alberta Publication 2021-05-01 Jose Leonardo Guevara Urdaneta, Rajan Patel,
Trivedi, J. T07-C02 IFT or wettability alteration: What is more important for oil recovery in oil-wet formation? T02-P05 University of Alberta Publication 2021-05-01 T02-P05 Can low salinity water injection be an efficient option for the Recô ncavo Basin? An experimental and simulation case study T02-P05, T07-C02 University of Alberta Publication 2021-07-01 A Almeida da Costa, J. Mateo, Rajan Patel,
Trivedi, J. , J.B.P. Soares, P.S. Rocha, Gabriel Pereira da Costa, M Embiruç u
T02-P05, T07-C02 The Influence of Rock Composition and pH on Reservoir Wettability for Low-Salinity Water-CO2 Enhanced Oil Recovery Applications in Brazilian Reservoirs T02-P05, T07-C01 University of Alberta Publication 2020-09-01 A Almeida da Costa, Gabriel Pereira da Costa, M Embiruç u, J B Soares,
Trivedi, J. , P S Rocha, A. Souza, P. Jaeger
T02-P05, T07-C01 Quantification of Sor Reduction during Polymer Flooding Using Extensional Capillary Number T07-C01, T07-C02 University of Alberta Publication 2020-10-01 T07-C01, T07-C02 Data-Driven Steam Optimization for SAGD T07-C02 University of Alberta Publication 2020-10-01 Prakash Jagadeesan, Najmudeen Sibaweihi, Rajan Patel,
Trivedi, J. T07-C02 Nonlinear Model Predictive Control of Steam-Assisted-Gravity-Drainage Well Operations for Real-Time Production Optimization T07-C02 University of Alberta Publication 2020-06-01 T07-C02 Real-time steam allocation workflow using machine learning for digital heavy oil reservoirs T07-C02 University of Alberta Publication 2021-04-01 Najmudeen Sibaweihi, Rajan Patel, Jose Leonardo Guevara Urdaneta, Ian Gates,
Trivedi, J. T07-C02 CO2 Foam and CO2 Polymer Enhanced Foam for Heavy Oil Recovery and CO2 Storage T02-P05, T07-C01 University of Alberta Publication 2020-11-01 T02-P05, T07-C01 Advances in Lithium Recovery from Dilute and Complex Waters: A Comprehensive Review Canada, particularly Western Canada, holds significant potential for future lithium production, with brine resources enriched in lithium associated with oil and gas reservoirs. These deep-formation waters, unlike conventional lithium-rich sources such as salt lake brines, contain only 10 to 150 ppm of lithium, and are therefore classified as unconventional, dilute lithium-bearing resources. In recent years, several review articles have summarized lithium extraction technologies, often primarily focusing on high-salinity brines and the separation of lithium from magnesium. This review provides a comprehensive overview of current technologies and recent developments specifically focused on extracting lithium from such diluted brines. T06-Q08 University of Alberta Publication 2025-08-12 T06-Q08 Quantification of polymer viscoelastic effects on Sor reduction using modified capillary Patent number: US 11,761,331
Abstract: A method of quantifying a viscoelastic effect of a polymer on residual oil saturation (Sor) including calculating an extensional capillary number (Nce) using flux, pore-scale apparent viscosity, and interfacial tension to account for the polymer's viscoelastic forces that are responsible for Sor reduction. The polymer is used polymer flooding during enhanced oil recovery. An extensional capillary number is calculated for a plurality of polymer materials, which are then compiled in a database. Also provided is a reservoir simulator for predicting the Sor reduction potential of the viscoelastic polymer, which includes a database of calculated extensional capillary numbers for a plurality of polymers. The database includes a curve generated from the calculated extensional capillary numbers for a plurality of polymers properties, flux rates, formation nature, oil viscosities, and rheological behaviors.
Type: Grant
Filed: July 24, 2020
Date of Patent: September 19, 2023
Assignee: THE GOVERNORS OF THE UNIVERSITY OF ALBERTA
Inventors: Madhar Sahib Azad, Japan TrivediT07-C02 University of Alberta IP Management 2023-09-19 T07-C02 Method of recovering oil embedded in an underground matrix adjacent a depleted oil reservoir Patent No.: US 11,268,014 В2
Date of Patent: Mar. 8, 2022
A method of recovering oil embedded in an underground matrix adjacent a depleted oil reservoir includes injecting a mixture of polymeric material into the depleted oil reservoir through an injection borehole, applying a pressure to the mixture to free the oil from the matrix and move the oil towards a production well, and drawing the oil from the depleted oil reservoir through the production well. The method additionally includes modeling a shear thickening of the polymeric mixture and an onset of the shear thickening. The model can be incorporated into commercial numerical simulators for predicting the injectivity and recovery due to viscoelastic thickening independently and thereby assist in quick screening polymers for oil recovery applications. T07-C02 University of Alberta IP Management 2022-03-08 T07-C02
