Earth and Planetary Sciences
Machine Learning
100%
Continental Shelf
91%
Depositional Environment
75%
Geology
50%
Outcrop
50%
Oil Recovery
50%
Stacking
50%
Root-Mean-Square Error
41%
Support Vector Machine
33%
Oil Well
25%
Space Storage
25%
Vertical Profile
25%
Statistical Distribution
25%
Porosity
25%
Norwegian Sea
16%
North Sea
16%
Barents Sea
16%
Principal Component Analysis
16%
Multivariate Analysis
16%
United Kingdom
16%
Production Data
16%
Life Cycle
16%
Engineering
Engineering
50%
Machine Learning Algorithm
50%
Recovery Factor
50%
Oil Recovery
50%
Testing Set
25%
Decline Analysis Curve
20%
Field Life
16%
Support Vector Machine
16%
Monthly Average
12%
Parameter Data
12%
Internal Representation
10%
Active Storage
10%
Test Result
8%
Field Method
8%
Production Data
8%
Learning System
8%
Lifecycle
8%
Root Mean Square Error
8%
Mean Square Error
8%
Parameter Model
8%
Gaussian Kernel
8%
Keyphrases
Geological Variables
50%
Geological Parameters
25%
Gross Depositional Environment
25%
Depleted Reservoir
20%
Sparse Autoencoder
20%
Prediction Metrics
12%
Predictor Importance
12%
Diagenetic Impacts
12%
Subsurface Conditions
12%
Multi-variant
12%
Decline Curve Analysis
12%
Ultimate Recovery
12%
API Gravity
12%
Performance Recovery
12%
Orientation Patterns
10%
Production Factors
10%
Storage Data
10%
Intuitive Explanation
10%
Production Variables
10%
Reservoir Variables
10%
Numerical Properties
10%
Machine Training
10%
Categorical Properties
10%
