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Aditya Chakravarty
Aditya Chakravarty
Machine Learning Specialist at Syngenta
Verified email at tamu.edu
Title
Cited by
Cited by
Year
Machine learning for subsurface characterization
S Misra, H Li, J He
Gulf Professional Publishing, 2019
1152019
Creation of a mixed‐mode fracture network at mesoscale through hydraulic fracturing and shear stimulation
M Schoenball, JB Ajo‐Franklin, D Blankenship, C Chai, A Chakravarty, ...
Journal of Geophysical Research: Solid Earth 125 (12), e2020JB019807, 2020
572020
Visualization of hydraulic fracture using physics-informed clustering to process ultrasonic shear waves
A Chakravarty, S Misra, C Rai
International Journal of Rock Mechanics and Mining Sciences 137, 2021
232021
Unsupervised clustering methods for noninvasive characterization of fracture-induced geomechanical alterations
S Misra, A Chakravarty, P Bhoumick, CS Rai
Machine Learning for Subsurface Characterization 39, 2019
172019
Recovering elastic properties from rock fragments
S Dang, I Gupta, A Chakravarty, P Bhoumick, S Taneja, C Sondergeld, ...
Petrophysics 58 (03), 270-280, 2017
172017
Unsupervised learning from three-component accelerometer data to monitor the spatiotemporal evolution of meso-scale hydraulic fractures
A Chakravarty, S Misra
International Journal of Rock Mechanics and Mining Sciences 151, 105046, 2022
152022
Machine learning tools for fossil and geothermal energy production and carbon geo-sequestration—a step towards energy digitization and geoscientific digitalization
S Misra, R Liu, A Chakravarty, K Gonzalez
Circular Economy and Sustainability 2 (3), 1225-1240, 2022
112022
Hydraulic fracture mapping using wavelet-based fusion of wave transmission and emission measurements
A Chakravarty, S Misra
Journal of Natural Gas Science and Engineering 96, 104274, 2021
82021
NMR considerations in shales at elevated temperature
A Chakravarty, A Tinni, CS Rai, CH Sondergeld
SPE/AAPG/SEG Unconventional Resources Technology Conference, D023S036R007, 2018
82018
The EGS Collab Project: Status and Accomplishments
T Kneafsey, D Blankenship, P Dobson, M White, JP Morris, P Fu, ...
42021
Unsupervised learning tracks spatiotemporal evolution of hydraulic fractures
A Chakravarty, S Misra
Authorea Preprints, 2022
32022
Hydraulic fracture visualization by processing ultrasonic transmission waveforms using unsupervised learning
A Chakravarty, S Misra, CS Rai
https://doi.org/10.1002/essoar.10504063.1, 2020
32020
Fracture Monitoring and Characterization Using Unsupervised Microseismic Data Analysis
S Misra, A Chakravarty
International Petroleum Technology Conference, D021S087R003, 2024
22024
Using in-situ strain measurements to evaluate the accuracy of stress estimation procedures from fracture injection/shut-in tests
Y Guglielmi, M McClure, J Burghardt, JP Morris, T Doe, P Fu, H Knox, ...
International Journal of Rock Mechanics and Mining Sciences 170, 105521, 2023
22023
Induced microearthquakes predict permeability creation in the brittle crust
Z Li, D Elsworth, C Wang, J Ajo-Franklin, T Baumgartner, K Beckers, ...
Frontiers in Earth Science 10, 1020294, 2022
22022
Hydraulic Fracturing-Driven Infrasound Signals–a New Class of Signal for Subsurface Engineering
A Chakravarty, J Stenftenagel, K Wu, B Duan, S Misra
Available at SSRN 4278414, 2022
22022
Improved Hydraulic Fracture Characterization Using Representation Learning
A Chakravarty, S Misra
SPE EuropEC-Europe Energy Conference featured at the 84th EAGE Annual …, 2023
12023
Hydraulic Fracturing-driven Infrasound Signals-A New Class of Signal for Subsurface Engineering
C Aditya, S Jordan, W Kan, D Benchun, M Siddharth
Authorea Preprints, 2022
12022
The EGS Collab-Experiment 2 Stimulations at 1.25 km Depth
T Kneafsey, D Blankenship, J Burghardt, T Johnson, P Dobson, ...
12022
Unsupervised Learning Reveals Faulting Patterns in Hydraulic Fracturing-induced Seismicity
A Chakravarty, C Hopp, V Rodriguez Tribaldos, S Misra, T Kneafsey
AGU Fall Meeting Abstracts 2021, IN45A-03, 2021
12021
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