FROM RESEARCH TO THE PROJECT

<< The exclusivity of Wavefields applications>>

 


FROM RESEARCH TO THE FIELD

 

 

 

MODELING AND OPTIMIZATION OF PHYSICAL SYSTEMS

 

Neural Networks - Deep Learning

 

Hyperparameter Tuning, Optimization, Regularization

 

Structuring Deep Learning Projects

 

Convolutional Neural Networks

 

Recurrent Neural Networks

 

 

 


MACHINE AND DEEP LEARNING APPLICATIONS IN SEISMIC AND PETROPHYSICAL ANALYSIS

 

Seismic Imaging
Seismic Inversion
Seismic Attributes Analysis
Petrophysical Processing
Petrophysical Analysis
Log Interpretation
Seismic/Petrophysical Integration

 

 

 

ALGORITHMS FOR SUPERVISED AND UNSUPERVISED AI APPLICATIONS

 

Multivariate Regression
Complex non-linear Hypothesis optimization
Logistic Regression and Support Vector Machine
Clustering K-means, Data Compression, PCA
Anomaly Detection
Multivariate Gaussian Anomaly Detection
Content-based Recommender Systems, Collaborative Filtering
Learning with large datasets
Deep Learning / Neural Networks
Spatial Statistics
Markov Chain, Multipoint Histograms
Conventional estimation, Kriging
Multiple Realizations / Sequential Gaussian Simulation
Montecarlo Simulation, Simulated Annealing
Deterministic and stochastic property Upscaling

 

 

 

 

DEEP DIRECTIVITY SYSTEMS

 

One of our missions is to promote renewable energy systems for the future of

our planet.

New projects concepts and interpretation methods make a new technology possible

for new geothermal projects without presence of acquifers in the subsurface:
www.deepdirectivity.eu