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Keyla Gonzalez
Keyla Gonzalez
Texas A&M University, TGS
Verified email at tgs.com - Homepage
Title
Cited by
Cited by
Year
Unsupervised learning monitors the carbon-dioxide plume in the subsurface carbon storage reservoir
K Gonzalez, S Misra
Expert Systems with Applications 201, 117216, 2022
142022
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
Visualization of the sequestered carbon-dioxide plume in the subsurface using unsupervised learning
K Gonzalez, S Misra
Authorea Preprints, 2022
32022
A machine learning workflow for log data prediction at the basin scale
K Gonzalez, O Brusova, A Valenciano
First Break 41 (2), 73-80, 2023
22023
Spectral Characteristics of Hydraulic Fracturing‐Induced Seismicity Can Distinguish between Activation of Faults and Fractures
N Igonin, DT Trugman, K Gonzalez, DW Eaton
Seismological Society of America 94 (4), 1791-1806, 2023
12023
Monitoring the CO2 Plume Migration during Geological Carbon Storage using Spatiotemporal Clustering
K Gonzalez, S Misra
Authorea Preprints, 2022
12022
Improving microseismic denoising using 4d (temporal) tensors and high-order singular value decomposition
K Gonzalez, E Gildin, RL Gibson Jr
SPE/AAPG/SEG Unconventional Resources Technology Conference, D011S023R001, 2021
12021
Rapid Time-Lapse Monitoring of Geological Carbon Storage
K Gonzalez, S Misra
SPE EuropEC-Europe Energy Conference featured at the 84th EAGE Annual …, 2023
2023
Time-Lapse Monitoring of the Dynamic Geological Carbon Storage Using Unsupervised Spatiotemporal Clustering
K Gonzalez, S Misra
Available at SSRN 4156583, 2022
2022
ARLAS: A MACHINE LEARNING WORKFLOW FOR MISSING LOG DATA PREDICTION AT A BASIN SCALE
O Brusova, K González, A Valenciano
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Articles 1–10