Japan Trivedi, PhD

Associate Professor, Petroleum Engineering, Faculty of Engineering - Civil and Environmental Engineering Dept


Associate Professor, Petroleum Engineering, Faculty of Engineering - Civil and Environmental Engineering Dept
(780) 492-1247
6-289 Donadeo Innovation Centre For Engineering
9211-116 St
Edmonton AB
T6G 2H5



Our laboratory research deals with chemical and CO2-EOR for conventional and unconventional reservoirs in general. We also perform detailed polymer characterization for conventional and heavy oil recovery. Our laboratory is located in NREF, School of Mining and Petroleum Engineering at the University of Alberta. 

Our reservoir simulation team deals with state and parameter estimation for assisted history matching, dynamic real-time optimization, and proxy models. CO2 Sequestration, DFN modeling, fracture reservoir characterization and underground Coal Gasification projects are also of prime importance for our research group with other collaborators.

Current projects include

Research webpage: https://japtrivedi.wixsite.com/jtrivedi

Recent Publications

(Full list can be found at https://japtrivedi.wixsite.com/jtrivedi/publications)

  1. Chaturvedi K.R., Trivedi J., and Sharma T. Evaluation of Polymer Assisted Carbonated Water Injection in Sandstone Reservoir: Absorption Kinetics, Rheology and Oil Recovery Results. Accepted for Energy & Fuels. (2019)
  2. Azad M.S., and Trivedi J.J. Quantification of the Viscoelastic Effects during Polymer Flooding: A Critical Review. Accepted for SPEJ. (2019)
  3. Azad M.S., and Trivedi J.J. Novel viscoelastic model for predicting the synthetic polymer’s viscoelastic behavior in porous media using direct extensional rheological measurements. Fuel, 235, pp 218 – 226. (2019)
  4. Shaban S., Azad M.S., Trivedi J.J., and Ghaemi S. Investigation of near-wall turbulence in relation to polymer rheology, Physics of Fluids, 30 (12). (2018)
  5. Azad M.S., and Trivedi J.J. Extensional rheological data from ex-situ measurements for predicting porous media behaviour of the viscoelastic EOR polymers. Data in Brief, 20, pp: 293-305. (2018) Link
  6. Telmadarreie A., and Trivedi J.J. Static and Dynamic Performance of Wet Foam and Polymer-Enhanced Foam in the Presence of Heavy Oil. Colloids Interfaces, 2(3), 38. (2018) 
  7. Azad M.S., Dalsania Y., and Trivedi J.J. Understanding the flow behavior of copolymer and associative polymers in porous media using extensional viscosity characterization: Effect of hydrophobic association. Canadian Journal of Chemical Engineering. 96 (11), pp 2498 - 2508. (2018) Link
  8. Chaturvedi K.R., Kumar R., Trivedi J., Sheng J., and Sharma T. Stable Silica Nanofluids of an Oilfield Polymer for Enhanced CO2 Absorption for Oilfield Applications. Energy & Fuels 32 (12), pp 12730-12741. (2018)
  9. Patel R.G., Jain T., and Trivedi J.J. Performance of Ensemble Kalman Filter and Markov Chain Monte Carlo under Uncertainty in Forecast Model. Accepted for Journal of Petroleum Science and Engineering.(2018)
  10. Patel R.G., Trivedi J.J, and Prasad V. SAGD Real-Time Production Optimization Using Adaptive and Gain-Scheduled Model-Predictive-Control: An Application to a Field Model. SPE Production & Operations, 34 (1). (2018)
  11. Sripada P., Khan Md., Ramasamy S., Trivedi J., Gupta R. Influence of Coal Properties on the CO2 adsorption Capacity of Coal Gasification Residues. Energy Sci & Eng, 6 (4), pp 321 - 335. (2018)


  1. Trivedi J.J, and Sahib M.A. An Improved Method of Recovering Oil from A Depleted Oil Reservoir. U.S. Patent Application Serial No: 62/559,086 filed on September 15, 2017 


Ph.D. Openings

Ph.D. positions are available in the areas of 

  • Tight oil recovery with a strong experimental background in surfactant chemistry and wettability modifiers.
  • Reservoir modeling and optimization with a strong computational background and knowledge of ANN and Machine Learning.
  • Chemical EOR with a strong background in polymer chemistry and prior experience with GPC/SEC. 

Applicants should send their CV including a summary of past accomplishments and publications.

Applicants with CSC scholarship - Send CV.


PET E 471 - Enhanced Oil Recovery

Classification of EOR methods, areal, vertical and volumetric sweep efficiencies, predictive models for immiscible displacement. Frontal advance theory and Buckley-Leverett-Weldge approach. Chemical (alkaline, polymer, surfactant, micellar injection) flooding. Miscible-immiscible gas (hydrocarbon and CO2) injection. Prerequisite: PET E 373.

Winter Term 2021
PET E 649 - Advanced Reservoir Simulation

Simulation of recovery processes and various EOR methods such as water flooding, chemical flooding and gas flooding; PVT modeling; multiphase flash, compositional and thermal simulation. Modeling naturally fractured reservoirs. Prerequisite: PET E 477 or consent of instructor. Credit cannot be obtained for both PET E 649 and PET E 650.

Fall Term 2020

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