Japan Trivedi, PhD. P.Eng

Area of Study / Keywords

Professor Petroleum Engineering Enhanced Oil Recovery Unconventional Reservoirs CO2 Sequestration Machine and Reinforcement Learning

Research

My laboratory research focuses on chemical- and gas- enhanced oil recovery (EOR) for both conventional and unconventional reservoirs. We also perform detailed characterization of surfactants, nanoparticles, polymers, and foams to design fluids for oil and gas recovery from unconventional and conventional reservoirs.

My group investigates the rheological, interfacial, and transport behaviors of soft matter and complex fluids, including colloidal suspensions, polymer solutions, dispersions, emulsions, foams, and nanofluids, to develop novel technological applications, primarily in the areas of sustainable subsurface energy production and storage, as well as environmental protection.

Our simulation team specializes in machine learning, reinforcement learning, data integration, and analytics to optimize various processes and reduce uncertainty.

Our laboratory is located in the Resources Engineering Facility (NREF) at the School of Mining and Petroleum Engineering, University of Alberta.

Current projects include

• Surfactant EOR for Unconventional Reservoirs
• CO2 EOR and Sequestration
• Chemical EOR
• Polymer (ASP) Characterization
• Tight Oil EOR
• History Matching - Reservoir Characterization
• SAGD - Realtime Optimization
• Machine Learning

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

Recent Publications

(Full list can be found at Google Scholar)

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)

Patents

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 

• Shall/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 a CSC scholarship - Send CV.

PET E 377 - Modelling in Petroleum Engineering

Basics of numerical reservoir simulation and numerical solution of partial differential equations. Simulation methods as applied to specific problems in petroleum reservoir behavior. Applications on primary, secondary and tertiary recovery phases of petroleum production using commercial simulation packages. Prerequisites: PET E 295 or PET E 373, Corequisite: CH E 374. PET E 377 cannot be taken for credit if credit has already been obtained in PET E 477.

PET E 444 - Natural Gas Engineering

Topics include gas properties, reserves estimation, gas well deliverability, gas well testing, gas storage, surface facilities, and transmission. Production of unconventional gas reservoirs (coal beds, hydrates, tight sand and shale gas). Prerequisite: PET E 275.

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.

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