G Suresh Kumar
Also known as: G S Kumar, Suresh Kumar Govindarajan, G Suresh Kumar
Indian Institute of Technology Madras, Indian Institute of Technology Guwahati, Indian Institute of Science, Queens University Faculty of Education
About
Dr Suresh Kumar Govindarajan
Professor
Petroleum Engineering Programme
Department of Ocean Engineering
Indian Institute of Technology – Madras
Chennai 600 036 INDIA
E-Mail: [email protected]
Ph: +91 44 2257 4814
Fax: +91 44 2257 4802
Secured Doctoral Degree from IISc (Bangalore):
Thesis Submitted: Nov 2003; Degree Awarded: Sep 2004
Worked as Post-Doctoral Research Fellow @ University of North Dakota, Grand Forks, USA between Nov 2003 and June 2005
Worked as Post-Doctoral Research Fellow @ Queens University, Kingston, Ontario, Canada between June 2005 and May 2006
Worked as Assistant Professor @ IIT - Guwahati between June 2006 and May 2007
Joined IIT – Madras on 16th May 2007 as Assistant Professor
16th May 2007 - 31st May 2010: Assistant Professor - Department of Civil Engineering, IIT-Madras
1st June 2010 - 24th July 2015: Associate Professor - Department of Ocean Engineering, IIT-Madras
Joined the present position as Professor @ IIT-Madras on 24th July 2015
Research Interests
Fluid Flow through Porous and Fractured Media
Non-Isothermal Multi-Phase Fluid Flow
Thermal/Microbial/Chemical Enhanced Oil Recovery
Fractured Reservoirs: Pressure Transient Analysis
Fluid Flow through Shale Gas Reservoirs
Heat and Mass Transfer in Porous Media
Onshore Oil Spill
Groundwater and Contaminant Transport Modeling
Enhanced Geothermal Energy System (EGS)
Radio-Nuclide Transport in Geo-sphere
Computational Fluid Dynamics
Basic Research (2004 – 2014)
Trying to understand the behavior of fluid flow in a fractured reservoir as against the conventional classical porous medium, where we do a have reasonable understanding in describing fluid flow, especially at the macroscopic scale. However, in a fractured reservoir, it is extremely difficult to deduce a reasonable REV, which in turn, poses a great challenge in deducing the mean value of the dependent variable of interest (spatial and temporal distribution of pressure profiles). In this context, investigations are being carried out in order to capture the anomalies associated with a fractured reservoir with reference to the single continuum hypothesis of a classical porous medium.
As a result, a fundamental flow chart was suggested in order to delineate a fractured reservoir from that of a conventional porous reservoir based on a minimum number of transport parameters.
Later, an improved mathematical model has been developed that better captures the pressure profiles in a fractured reservoir by the introduction of a fluid mass transfer term within the low permeability rock-matrix.
In addition, a robust numerical model has been developed using Finite Volume Technique that addresses the hyperbolic dominant fluid flow as against the conventional parabolic dominant fluid flow within the high permeable fracture.
Applied Research (2010 – 2014)
Numerical investigations on Enhanced Oil Recovery by Microbial Flooding under non-isothermal conditions.
Numerical investigations on phase-behavior effects of Thermally Enhanced Oil Recovery by In-Situ Combustion.
Numerical investigations on velocity of nano-particles in a Fractured Petroleum Reservoir.
Numerical investigations on fate and transport of petroleum hydrocarbons in a sub-surface system (Onshore Oil Spill).
Experimental investigations on wettability alteration in carbonate reservoirs using nano-fluids.
Field investigations on an oil spilled contaminated site.
Developed a mathematical model that considers the transport of petroleum hydrocarbons in saturated fractured rocks.
Developed a mathematical model that considers the sub-surface transport of nuclear wastes through fractured rocks.
Developed an open source tool box that simulates non-isothermal multi-phase (oil-water) fluid flow through a porous medium that addresses secondary and tertiary oil recovery.
Developed an improved mathematical model that captures the details of weathering processes (emulsification, dissolution, dispersion & evaporation) associated with an offshore oil spill.
Teaching Experience @ IIT - Madras
Courses Taught (Up to 2010)
CE 648 Contaminant Transport Modeling
CE 546 Groundwater Engineering
CE 545 Applied Hydraulic Engineering
CE 403 Hydraulic Engineering Laboratory
ME 1120 Engineering Drawing
Courses Formulated and Taught in the Department of Ocean Engineering (2009 Onwards)
PE 6030 Reservoir Engineering (Odd Semester)
PE 6031 Reservoir Simulation (Even Semester)
PE 6312 Enhanced Oil Recovery (Odd Semester)
PE 6100 Reservoir Engineering Laboratory (Even Semester)
PE 6316 Special Topics in Petroleum Engineering (Odd Semester)
Introduced a New Course in Jan 2014
PE 6317 Applied Hydrodynamics in Petroleum Exploration and Production (Even Semester)
Employment
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Indian Institute of Technology Madras Professor2015 - Present
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Indian Institute of Technology Madras Associate Professor2010 - 2015
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Indian Institute of Technology Madras Assistant Professor2007 - 2010
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Indian Institute of Technology Guwahati Assistant Professor2006 - 2007
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Queens University Faculty of Education Post Doctoral Fellow2005 - 2006
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University of North Dakota Post Doctoral Fellow2003 - 2005
Education
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Indian Institute of Science Ph D1998 - 2003
Projects & Funding
Projects & funding information is unavailable.
Publications (216)
- Performance evaluation of the undulated fractured geothermal reservoir using numerical simulations – application to the Puga field Save
- Relative performance of hydraulic, hydro-mechanical and thermo-hydro-mechanical models on the geological sequestration of CO2 in deep saline aquifers Save
- Numerical Simulation of a Coupled Hydro-Mechanical Model for CO2 Geosequestration in a Deep Saline Aquifer Save
- Multi objective optimization of a discrete fracture geothermal reservoir using Bi-LSTM network Save
- Evaluation of CO2 Sequestration in a Multilayer Leaky Aquifer by Numerical Simulation Save
- Hot-Water Flooding Performance Assessment in Heterogeneous Reservoirs through Numerical Simulation Save
- Machine learning based modeling of the dynamic Poisson’s ratio for petroleum oil field Save
- Machine Learning-Based Surrogates for Predicting Low Saline Water Flooding in Sandstone Reservoirs Save
- Hot-Water Flooding Investigation in Lithological Heterogeneous Reservoirs Associated with the Evolution of Fluid and Rock Properties Save
- Assessing ion interactions in low saline water flooding of sandstone reservoirs: numerical approach Save