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Dr Aditya Vyas

vidwan id: 158399

Assistant Professor (Grade-I), Deysarkar Centre of Excellence in Petroleum Engineering
Indian Institute of Technology Kharagpur

Expertise

  • Electrical and Electronic Engineering

Publications

Total Articles 15
Books 0
Proceedings 0

Publications

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Scopus

Citations 217
h-index 8

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Citations 0
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Bio

Reservoir Simulation,Well Production History Matching,Well Testing,Enhanced Oil Recovery, Machine Learning in Petroleum Engg.

Personal Details

  • Assistant Professor (Grade-I) , Indian Institute of Technology Kharagpur
  • Department of Deysarkar Centre of Excellence in Petroleum Engineering, IIT Kharagpur
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Assistant Professor (Grade-I) Sep 2017 – Present
Indian Institute of Technology Kharagpur | Deysarkar Centre of Excellence in Petroleum Engineering

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Co-Authors (1)

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Dr Sandeep D Kulkarni

Indian Institute of Technology Kharagpur

Scholarly Work

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Scholarly Publications

Application of Computerized Tomography (CT) Scan Imaging Technique to Analyze Fluid Flow During Enhanced Oil Recovery Process

Open Access
Conference Paper
Authors: Madhumaya A.;Maiti S.;Vyas A.;Kulkarni S.D.

Application of Machine Learning in Screening the Optimal Enhanced Oil Recovery Technique

Open Access
Conference Paper
Authors: Madhumaya A.;Vyas A.

Evaluating Precision of Annular Pressure Buildup (APB) Estimation Using Machine-Learning Tools

Open Access
Conference Paper
Authors: Maiti S.;Gupta H.;Vyas A.;Kulkarni S.D.

Machine learning based rate decline prediction in unconventional reservoirs

Open Access
Article

Data-driven model-based rate decline prediction in unconventional eagle ford shale oil wells

Open Access
Article

Application of machine learning in predicting oil rate decline for Bakken shale oil wells

Open Access
Article

Investigation on Viscosity Behavior of Anionic Polyacrylamide Copolymer in Brine Solutions for Slickwater Fluids Applications at High Salinity and Hardness Conditions

Open Access
Article
Authors: Balaga D.K.;Korlepara N.K.;Vyas A.;Kulkarni S.D.

A novel methodology for fast reservoir simulation of single-phase gas reservoirs using machine learning

Open Access
Article