Artificial intelligence - Geophysical applications.

Artificial intelligence and dynamic systems for geophysical applications / by: (Language materials, printed)

Artificial intelligent approaches in petroleum geosciences by: (Electronic resources)

Machine learning in the oil and gas industry = including geosciences, reservoir engineering, and production engineering with Python / by: (Electronic resources)

Meta-attributes and artificial networking = a new tool for seismic interpretation / by: (Electronic resources)

Artificial intelligent approaches in petroleum geosciences by: (Electronic resources)

AI for rock dynamics by: (Electronic resources)

Emerging AI applications in earth sciences = challenges, impact and analysis / by: (Electronic resources)

Python.

Neural networks (Computer science)- Scientific applications.

Earth Sciences.

Geoengineering.

Petroleum- Geology

Earth sciences- Data processing.

Earth sciences- Technological innovations.

Geodynamics- Mathematical models.

Artificial Intelligence (incl. Robotics)

Geotechnical Engineering & Applied Earth Sciences.

Python (Computer program language)

Fossil Fuels (incl. Carbon Capture)

Mineral Resources.

Geotechnical Engineering and Applied Earth Sciences.

Rock mechanics.

Artificial intelligence- Engineering applications.

Materials Science.

Energy.

Petroleum engineering- Data processing.

Machine Learning.

Seismology- Data processing.

Artificial Intelligence.

Soil and Rock Mechanics.

Differentiable dynamical systems.

Mathematical Modeling and Industrial Mathematics.

Petroleum industry and trade- Data processing.

Machine learning.

Mineralogy.

Computer Science.

Civil Engineering.

Artificial intelligence- Geophysical applications.

Nonlinear theories.

Open Source.

Artificial intelligence.

Fossil Fuel.