FROM RESEARCH TO THE PROJECT
<< The exclusivity of Wavefields applications>>
GeoNeurale-Wavefields Abstract presentation at the 2nd EAGE
Geophysical Machine Learning Workshop 2021
VIDEO << Neues Textfeld >>
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