GeMiSe- AN INTEGRATED PLATFORM FOR GEOLOGICAL, MININING, AND SEISMIC DATASETS FOR OPEN RESEARCH

An ArcGIS toolbox to semi-automatically identify and analyse geo-depressions in a bathymetric grid.

Workflows developed for to display and interpret conventional well logs, depositional environments, sequence boundaries, heat flows, clay types, fracture intensities, and operational records

Geologic Overview Map of the Netherlands using TNO data

Data and analysis for Ikckert et al., 2015

Interpreter that reads source code and outputs geological columnar section as HTML file in the current directory.

This project demonstrates the use of machine learning models to estimate a pore pressure proxy using geological well log data. Based on the Well Log Facies Dataset, the project simulates pore pressure from petrophysical features like GR, ILD_log10, PE, DeltaPHI, PHIND, NM_M, and RELPOS. Multiple regression models—including Linear Regression, Ridge

EPMA data and analysis for Jackson et al., 2017

Submission for Unearthed Toronto Hackathon 2017

Predicts oil mine presence using an advanced Graph Attention Network (LSGAT) and geological/environmental data. Features a robust training pipeline, comprehensive evaluation, and an interactive Streamlit web application for real-time predictions.

A tool for geology students to do geological stuffs in the field.

Geological Data Science

A CLI interface for displaying earthquake data from the USGS

A curious data analysis of sorted geology themes. By Caio Madeira.