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Abhijit Chaudhuri

Bio: Abhijit Chaudhuri is an academic researcher from Indian Institute of Technology Madras. The author has contributed to research in topics: Concentration polarization & Convection. The author has an hindex of 14, co-authored 44 publications receiving 656 citations. Previous affiliations of Abhijit Chaudhuri include Indian Institute of Science & University of Colorado Boulder.


Papers
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Journal ArticleDOI
01 Mar 2020
TL;DR: In this article, a quantitative comparison of output, i.e., oil recovery vs inputs such as injected mass of chemicals, injection duration and pumping energy, is made, which is of interest to industry.
Abstract: Surfactant and polymer are used to improve oil recovery. The micro-emulsion phase composition, viscosity and interfacial tension vary with salinity and injection concentration of chemicals. The viscosity contrast which is very large for heavy oil reservoirs, results in various types of viscous instabilities. There is no comprehensive field-scale modelling on the viscous fingering affecting the oil recovery for different types of surfactant-polymer (SP) flooding. We numerically simulated the above phenomena for different types of SP flooding in five-spot wells setup for both water-wet and oil-wet reservoirs. We have observed that many saturation shocks and banks of micro-emulsion, water and polymer are formed. The viscous fingering at the interface of these banks depend on the reservoir wettability, micro-emulsion phase behaviour and injection concentration of chemicals. Fingering can be suppressed by changing the duration of injection and concentration of surfactant and polymer. We have shown that Type II(+) flooding produces more oil than Type II(−) and Type III. But the oil production by Type II(−) can be increased by adopting better injection strategies. We have made a quantitative comparison of output, i.e., oil recovery vs inputs such as injected mass of chemicals, injection duration and pumping energy, which is of interest to industry. The pumping energy requirement is higher for Type II(−) flooding irrespective of wettability. Our results show that short duration injection of surfactant with multistep reduction of polymer concentration suppresses viscous instabilities and produce more than 90% OOIP.

4 citations

Journal ArticleDOI
TL;DR: In this article, an attempt is made to assess the relative effects of various types of source uncertainties on the probabilistic behaviour of the concentration in a porous medium while the system parameters are also modelled as random fields.
Abstract: Randomness in the source condition other than the heterogeneity in the system parameters can also be a major source of uncertainty in the concentration field. Hence, a more general form of the problem formulation is necessary to consider randomness in both source condition and system parameters. When the source varies with time, the unsteady problem, can be solved using the unit response function. In the case of random system parameters, the response function becomes a random function and depends on the randomness in the system parameters. In the present study, the source is modelled as a random discrete process with either a fixed interval or a random interval (the Poisson process). In this study, an attempt is made to assess the relative effects of various types of source uncertainties on the probabilistic behaviour of the concentration in a porous medium while the system parameters are also modelled as random fields. Analytical expressions of mean and covariance of concentration due to random discrete source are derived in terms of mean and covariance of unit response function. The probabilistic behaviour of the random response function is obtained by using a perturbation-based stochastic finite element method (SFEM), which performs well for mild heterogeneity. The proposed method is applied for analysing both the 1-D as well as the 3-D solute transport problems. The results obtained with SFEM are compared with the Monte Carlo simulation for 1-D problems.

4 citations

Journal ArticleDOI
TL;DR: In this article, a series of 2-D multiphase reactive transport simulations were set-up to model the geochemical processes occurring at the interface of a baffle and a reservoir rock for a period of 1000 years, and the results were further utilized to derive averaged mineral composition for the integration of fine scale processes in coarser scale simulations.

4 citations

Journal ArticleDOI
TL;DR: The perturbation based stochastic finite element method (SFEM) is an attractive alternative method to Monte Carlo Simulation (MCSM) as it is computationally efficient and accurate as mentioned in this paper.

4 citations


Cited by
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Journal ArticleDOI
TL;DR: In this paper, the authors provide an updated review of studies related to membrane modules (plate and frame, tubular, spiral wound, and hollow fiber) and membrane characterization and discuss membrane cleaning and different pre-treatment technologies in place for RO desalination, such as feed-water pretreatment and biocides.

660 citations

Journal ArticleDOI
TL;DR: In this paper, an enhanced geothermal system with multilateral wells is proposed to extract heat from hot dry rock, where one main wellbore is drilled to hot dry rocks and several injection and production multilateral well are side-tracked from the main well bore in upper and lower formation, respectively.

221 citations

Journal ArticleDOI
TL;DR: In this article, a review of porosity-permeability relations in simulation models on the REV scale is presented, with a focus on the porosity at which the porous medium becomes impermeable.
Abstract: Reactive transport processes in a porous medium will often both cause changes to the pore structure, via precipitation and dissolution of biomass or minerals, and be affected by these changes, via changes to the material’s porosity and permeability. An understanding of the pore structure morphology and the changes to flow parameters during these processes is critical when modeling reactive transport. Commonly applied porosity–permeability relations in simulation models on the REV scale use a power-law relation, often with slight modifications, to describe such features; they are often used for modeling the effects of mineral precipitation and/or dissolution on permeability. To predict the reduction in permeability due to biomass growth, many different and often rather complex relations have been developed and published by a variety of authors. Some authors use exponential or simplified Kozeny–Carman relations. However, many of these relations do not lead to fundamentally different predictions of permeability alteration when compared to a simple power-law relation with a suitable exponent. Exceptions to this general trend are only few of the porosity–permeability relations developed for biomass clogging; these consider a residual permeability even when the pore space is completely filled with biomass. Other exceptions are relations that consider a critical porosity at which the porous medium becomes impermeable; this is often used when modeling the effect of mineral precipitation. This review first defines the scale on which porosity–permeability relations are typically used and aims at explaining why these relations are not unique. It shows the variety of existing approaches and concludes with their essential features.

167 citations

Journal ArticleDOI
15 Mar 2015-Energy
TL;DR: In this paper, a three-dimensional thermo-hydro-mechanical coupled model of fractured media was established to simulate the extraction of HDR (Hot dry rock) geothermal energy based on the geological characteristics of Tengchong geothermal field in China.

148 citations

Journal ArticleDOI
TL;DR: In this article, a fully coupled thermal-hydraulic-mechanical (THM) finite element model is presented for fractured geothermal reservoirs, where fractures are modelled as surface discontinuities within a three-dimensional matrix.

139 citations