Keyphrases
Machine Learning
100%
Reservoir Properties Prediction
100%
Acoustic Impedance
100%
Sweet Spot Evaluation
100%
Reservoir Potential
100%
Porosity
54%
Predictive Models
36%
Seismic Attributes
36%
XGBoost
27%
Reservoir Properties
27%
Impedance Properties
27%
Stochastic Inversion
27%
Neural Network
18%
Random Forest
18%
Machine Learning Techniques
18%
Well Location
18%
Porous Properties
18%
Well Data
18%
Low-frequency Model
18%
Prediction Accuracy
9%
Neural Network Model
9%
Hydrocarbons
9%
High-resolution
9%
Depositional System
9%
Seismic Data
9%
Inversion Method
9%
Superior Performance
9%
Hydrocarbon Production
9%
Field Development
9%
Modeling Process
9%
Gamma Rays
9%
3D Model
9%
Inversion Approach
9%
Poststack
9%
Regression Function
9%
Well Field
9%
Ensemble Model
9%
Minimum Intervention
9%
Sand Reservoir
9%
Interpreter
9%
Time Model
9%
Validation Accuracy
9%
Sweetness
9%
Machine Learning Prediction
9%
Multiple Models
9%
Unsupervised Neural Network
9%
Ray Density
9%
Fluvio-deltaic
9%
Well Logging
9%
Validation Metrics
9%
Predictive Properties
9%
Sweet
9%
Model Resolution
9%
1D Model
9%
Hydrocarbon Exploration
9%
Seismic Inversion
9%
3D Seismic Data
9%
Reservoir Sands
9%
Reservoir Sweet Spot
9%
Reservoir Zones
9%
RMS Amplitude
9%
Neutron Porosity
9%
3D Porosity
9%
3D Volume
9%
Facies Prediction
9%
3D Static Model
9%
Well Placement
9%
Engineering
Learning System
100%
Acoustic Impedance
100%
Porosity
81%
Random Forest
18%
Network Model
9%
Early Stage
9%
Machine Learning Technique
9%
Field Development
9%
Static Model
9%
Saturated Sand
9%
1D Model
9%
High Resolution
9%
Development Project
9%
Regression Function
9%
Gamma Ray
9%
Earth and Planetary Sciences
Machine Learning
100%
Acoustic Impedance
100%
Porosity
81%
Seismic Attributes
36%
Hydrocarbon Exploration
9%
Development Project
9%
Static Model
9%
Seismic Inversion
9%