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A series of Jupyter notebooks showing how to load well log and petrophysical data in python.

Sample files of various formats and schema versions.

Exploration of machine learning in geoscience use cases

the results, code and the data for the Force 2020 Machine learning competition after the completion of the competition in October 2020.

Exploration of machine learning in geoscience use cases

A series of Jupyter notebooks showing how to load well log and petrophysical data in python.

Sample files of various formats and schema versions.

the results, code and the data for the Force 2020 Machine learning competition after the completion of the competition in October 2020.

A series of Jupyter notebooks showing how to load well log and petrophysical data in python.

Sample files of various formats and schema versions.

Python library for reading and writing well data using Log ASCII Standard (LAS) files

the results, code and the data for the Force 2020 Machine learning competition after the completion of the competition in October 2020.

Integration of reservoir simulation, rock physics, seismic modeling, & geomechanics for CCS monitoring. Originally my BSc thesis and will be presented in EAGE 2020 Amsterdam.

Basic Well Log Interpretation with python, pandas, matplotlib

Exploration of machine learning in geoscience use cases

Symbolic Reinforcement Learning using Inductive Logic Programming

Sample files of various formats and schema versions.

Integration of reservoir simulation, rock physics, seismic modeling, & geomechanics for CCS monitoring. Originally my BSc thesis and will be presented in EAGE 2020 Amsterdam.

A series of Jupyter notebooks showing how to load well log and petrophysical data in python.

the results, code and the data for the Force 2020 Machine learning competition after the completion of the competition in October 2020.

Exploration of machine learning in geoscience use cases

Basic Well Log Interpretation with python, pandas, matplotlib

Python library for reading and writing well data using Log ASCII Standard (LAS) files

Symbolic Reinforcement Learning using Inductive Logic Programming