Search Results - Wood D. A. David
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1
Robust machine-learning model for prediction of carbon dioxide adsorption on metal-organic frameworks
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2
Combined Deep Learning and Optimization for Hydrogen-Solubility Prediction in Aqueous Systems Appropriate for Underground Hydrogen Storage Reservoirs
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3
A comprehensive review of beneficial applications of viscoelastic surfactants in wellbore hydraulic fracturing fluids
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4
Advancement of artificial intelligence applications in hydrocarbon well drilling technology: A review
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5
Recent advances in polymers as additives for wellbore cementing applications: A review
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6
Carbon Dioxide Applications for Enhanced Oil Recovery Assisted by Nanoparticles: Recent Developments
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7
Experimental and field applications of nanotechnology for enhanced oil recovery purposes: A review
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8
Machine-learning predictions of solubility and residual trapping indexes of carbon dioxide from global geological storage sites
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9
Machine-Learning Predictive Model for Semiautomated Monitoring of Solid Content in Water-Based Drilling Fluids
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10
A new approach to mechanical brittleness index modeling based on conventional well logs using hybrid algorithms
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11
Machine-learning models to predict hydrogen uptake of porous carbon materials from influential variables
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12
Robust Machine Learning Predictive Models for Real-Time Determination of Confined Compressive Strength of Rock Using Mudlogging Data
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13
An integrated intelligent approach to the determination of drilling fluids’ solid content
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14
Advanced Optimized Deep-Learning Model for Precise Evaluation of Subsurface Carbon Dioxide Trapping Efficiency
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15
Carbon dioxide sequestration through enhanced oil recovery: A review of storage mechanisms and technological applications
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16
Combined deep-learning optimization predictive models for determining carbon dioxide solubility in ionic liquids
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17
A robust hybrid near-real-time model for prediction of drilling fluids filtration
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18
A critical review of self-diverting acid treatments applied to carbonate oil and gas reservoirs
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19
Carbon Dioxide Storage and Cumulative Oil Production Predictions in Unconventional Reservoirs Applying Optimized Machine-Learning Models
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20
Prediction performance advantages of deep machine learning algorithms for two-phase flow rates through wellhead chokes
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Related Subjects
труды учёных ТПУ
электронный ресурс
машинное обучение
Gaussian process regression
Hybrid deep-learning
Optimization
feature selection
hybrid machine learning
hydraulic fracturing
viscoelastic surfactants
гидроразрыв
наночастицы
петрофизические данные
Abandoned hydrocarbon wellbores
Algorithms
Artificial intelligence deployment economics
Bibliometric and scientometric analysis
CO2 geological storage
CO2 solubility
CO2-adsorption prediction
Carbon capture storage (CCUS)
Carbon dioxide (CO2) sequestration
Chromatography
Confined compressive strength prediction
Control of CO2 reservoir flooding
Convolutional neural network
Convolutional neural network (CNN)
Cuckoo optimization algorithm
Demand, cost, and environmental aspects
Drilling fluid