متابعة
Dr. Shanker Krishna
Dr. Shanker Krishna
Pandit Deendayal Energy University
بريد إلكتروني تم التحقق منه على spt.pdpu.ac.in - الصفحة الرئيسية
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
Electromagnetic heating, an eco-friendly method to enhance heavy oil production: A review of recent advancements
P Sivakumar, S Krishna, S Hari, RK Vij
Environmental Technology & Innovation 20, 101100, 2020
352020
Production forecasting in shale reservoirs through conventional DCA and machine/deep learning methods
C Temizel, CH Canbaz, O Saracoglu, D Putra, A Baser, T Erfando, ...
Unconventional Resources Technology Conference, 20–22 July 2020, 4843-4894, 2020
302020
Production forecasting in shale reservoirs using LSTM method in deep learning
C Temizel, CH Canbaz, O Saracoglu, D Putra, A Baser, T Erfando, ...
Unconventional Resources Technology Conference (URTEC), 2020
272020
Impact of reservoir, fracturing fluid and proppant characteristics on proppant crushing and embedment in sandstone formations
S Hari, S Krishna, LN Gurrala, S Singh, N Ranjan, RK Vij, SN Shah
Journal of Natural Gas Science and Engineering 95, 104187, 2021
262021
Influence of wellhead pressure and water cut in the optimization of oil production from gas lifted wells
S Hari, S Krishna, M Patel, P Bhatia, RK Vij
Petroleum research 7 (2), 253-262, 2022
252022
A comprehensive review and optimization of artificial lift methods in unconventionals
C Temizel, CH Canbaz, D Betancourt, A Ozesen, C Acar, S Krishna, ...
SPE Annual Technical Conference and Exhibition?, D041S053R008, 2020
232020
A study on cashew nut shell liquid as a bio-based flow improver for heavy crude oil
S Pandian, PC Dahyalal, S Krishna, S Hari, D Subramanian
Journal of Petroleum Exploration and Production Technology 11, 2287-2297, 2021
152021
A review of different technologies to produce fuel from microalgal feedstock
RK Vij, D Subramanian, S Pandian, S Krishna, S Hari
Environmental Technology & Innovation 22, 101389, 2021
142021
Hydraulic fracture studies of reservoirs with an emphasis on pore fracture geometry studies by developing fracture and microseismic estimations
S Krishna, H Sreenivasan, RR Nair
Annals of Geophysics 61 (5), SE554-SE554, 2018
112018
Review and perspectives of energy-efficient methane production from natural gas hydrate reservoirs using carbon dioxide exchange technology
I Wilson, S Saini, H Sreenivasan, C Sahu, S Krishna, P Gupta
Energy & Fuels 37 (14), 9841-9872, 2023
102023
Optimization of gas lift system for well performance improvement in Asmari formation: A techno-economic perspective
H Sreenivasan, J Patel, D Jain, S Patel, I Wilson, S Krishna
Petroleum Research 9 (1), 115-124, 2024
42024
Proppant transportation and placement in fractures by water and liquid nitrogen: a numerical simulation
S Patel, I Wilson, H Sreenivasan, P Naveen, P Gupta, S Krishna
Computational Particle Mechanics, 1-23, 2023
42023
Fatigue analysis and reliability assessment of tether system of an offshore oil and gas platform operating in extreme sea-state conditions
S Hari, S Krishna, M Rao, RK Vij
Marine Systems & Ocean Technology 17 (2), 113-121, 2022
42022
Numerical simulations of proppant transportation in cryogenic fluids: Implications on liquid helium and liquid nitrogen fracturing for subsurface hydrogen storage
S Patel, I Wilson, H Sreenivasan, S Krishna
International Journal of Hydrogen Energy 56, 924-936, 2024
22024
GPR analysis of water content in concrete specimen-laboratory test
S Santos-Assunçao, S Krishna, V Perez-Gracia
Near Surface Geoscience 2016-22nd European Meeting of Environmental and …, 2016
22016
Performance evaluation of methane hydrate inhibitor (NaCl) integrated polymer gels for extremely low temperature hydraulic fracturing applications
I Wilson, H Patel, H Sreenivasan, S Krishna
Gas Science and Engineering 125, 205295, 2024
2024
Brownfield Management: Waterflood Surveillance Framework, Streamline Simulation, and Bright Water Polymer Flooding
MD Patel, SB Patel, S Brajesh, H S, S Krishna
SPE Improved Oil Recovery Conference?, D041S029R005, 2024
2024
Predictive Maintenance for Sucker Rod Pumps Using AlexNet-Based Deep Learning: Efficient Fault Prediction Utilizing Visual Representations
O Vyas, H Sreenivasan, A Aanchal, S Krishna
Fourth EAGE Digitalization Conference & Exhibition 2024 (1), 1-5, 2024
2024
ResNet-Enabled Predictive Maintenance for Sucker Rod Pumps: Leveraging Deep Learning for Enhanced Reliability
A Aanchal, H Sreenivasan, O Vyas, S Krishna
Fourth EAGE Digitalization Conference & Exhibition 2024 (1), 1-5, 2024
2024
Revalidation of Components by Implementation of Bar-Coded Route Cards and Enterprise Resource Planning System in Manufacturing Units
S Hari, S Krishna, RK Vij
Advances in Modelling and Optimization of Manufacturing and Industrial …, 2023
2023
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مقالات 1–20