Pratik Kakkar

201720182019202020212022202320245 11 11 15 14 26 21 13

Mukul SharmaProfessor, University of Texas at AustinVerified email at mail.utexas.edu
Rod RussellResearch Engineer / Lab Manager, University of Texas, AustinVerified email at utexas.edu
Amit ChakrabortyHead, Predictive Analytics, Siemens Corporation, Corporate TechnologyVerified email at siemens.com
Biswadip DeySenior Key Expert, Siemens TechnologyVerified email at siemens.com
Arindam DasguptaSiemens TechnologyVerified email at siemens.com
Tongtao ZhangResearch Scientist, Siemens Corporate TechnologyVerified email at siemens.com
Rajat AroraSenior Member of Technical Staff at AMDVerified email at amd.com

Pratik Kakkar

Research Scientist at Siemens Corporation

Verified email at utexas.edu


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
An experimental investigation of the conductivity of unpropped fractures in shales W Wu, P Kakkar, J Zhou, R Russell, MM Sharma SPE Hydraulic Fracturing Technology Conference and Exhibition, D011S002R007, 2017	51	2017
Physics-informed neural networks for modeling rate-and temperature-dependent plasticity R Arora, P Kakkar, B Dey, A Chakraborty NeurIPS ML4PS Workshop, 2022	28	2022
An experimental study on conductivity of unpropped fractures in preserved shales W Wu, J Zhou, P Kakkar, R Russell, MM Sharma SPE Production & Operations 34 (02), 280-296, 2019	25	2019
Frequency-compensated PINNs for Fluid-dynamic Design Problems T Zhang, B Dey, P Kakkar, A Dasgupta, A Chakraborty Machine Learning for Engineering Modeling, Simulation, and Design (ML4Eng …, 2020	11	2020
Experimental study of the effect of stress and fluid sensitivity on propped and un-propped fracture conductivity in preserved reservoir shale P Kakkar The University of Texas at Austin, 2016	1	2016

The system can't perform the operation now. Try again later.

Articles 1–5

Citations per year