Getting data in and out of Schlumberger Petrel

A cloud platform for greenhouse gas (GHG) data analysis and collaboration.

MGN-LSTM - a graph neural network-based, deep-learning models for multiphase flow in carbon capture and storage (CCS) reservoirs with complex fault systems

Classification and Regression Trees (CART) in python from scratch.

Projects/Works that I have carried out in python to date

DUT_PRML

Machine Learning in Sci-kit Learn: supervised/unsupervised

Decision Tree Implementation for Machine Learning Class

Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods

GEOS Simulation Framework

Physics-Informed Neural Networks Trained with Particle Swarm Optimization

Codomain attention neural operator for single to multi-physics PDE adaptation.

Knowledge-driven stochastic modeling of geological geometry features conditioned on drillholes, outcrops, and geophysics

Hopfield Networks is All You Need

Python scripts for analyzing data extracted from TESCAN Integrated Mineral Analyzer (TIMA)

Tectonics from Digital Elevation Models

Basic Well Log Interpretation with python, pandas, matplotlib

This repository contain notes and python files that exemplify applications of geomechanics

Fuzzy-CNN comes to help improve the results of training on small data.

Repo contains implementations of fuzzy logic structures and operations, implementation of neural networks and genetic algorithms. They are first tested separately and then combines in various ways.

This repository contains codes in python performed during NNFL lab

Gaussian processes in TensorFlow

Reservoir simulation in Python