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SUETRI-D
Energy Science & Engineering
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Analysis of Wells with Multistage Fractures
Well Test Analysis Using Poles and Residues in Laplace Space
Fracture characterization via AI-assisted analysis of temperature logs
Triggering mechanisms of induced seismicity and predictive modelling
Inflow Measurement in Geothermal Wells Based on Chloride Concentration
Techno-Economic Evaluation and Optimization of Flexible Geothermal Power
Production Forecasting Using Transfer Learning of Pretrained Deep Model
Detection of Stylolite Zones in Reservoirs Using Machine Learning Methods
Scale Buildup Detection and Characterization in Production Wells by Deep Learning Methods
Inferring Subsurface Information using Tidal Analysis
An Integrated Framework for Production Data Analysis Using Machine Learning and Wavelets
A New Look into Nonlinear Regression
Analyzing Fractures with Resistivity Data
Automated Analysis of DTS Data
Distributed Temperature Sensing
Flow Behavior of Gas-Condensate Wells
Large Volume Data Processing for Permanent Downhole Gauges
Machine Learning Applied to Multiwell Data
Machine Learning in a Full-Physics Analysis
Modeling reservoir temperature transients...
Monitoring and Control of Multilateral Wells
Relating Time Series in Data to Spatial Variation in the Reservoir Using Wavelets
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SUETRI-D: Reservoir Monitoring and Well Test Interpretation
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Kappa Engineering
Geothermal Energy Research & Development Co., Ltd.
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