This open-source code repository provides a Python implementation for generating an interactive well trajectory plot using Plotly. The focus of this code is to visualize the trajectory of Well 15/9-F-5 from the Volve dataset.

This open-source code repository provides a Python implementation for generating an interactive horizon surfaces plot using Plotly. The focus of this code is to visualize the Volve horizons in a 3D surface plot.

This repository contains a Python script that uses the Plotly library to create an interactive web-based application for plotting seismic data sections from SEG-Y files.

Lithofacies classification is the process of identifying the rock type present at a point in an oil well, based on its properties, known as well logs. This is an end-to-end machine learning project for lithofacies classification using Random Forest models.

This repository contains Python code for plotting historical petroleum production data in the Philippines from 1979 to 2021 using Plotly library.

data science project for oil well production data from the North Sea Volve Field. Tools used include Python, Pandas, Matplotlib, and Seaborn.

This project integrates conventional and image well logs for lithofacies classification using tree-based machine learning models, including Random Forest and Extremely Randomized Trees.

A comprehensive predictive model to assist Saudi Aramco in reducing methane emissions as part of its sustainability efforts. The project integrates statistical analysis with advanced modeling techniques to forecast emission levels and suggest actionable steps for reduction.

Calculator written in Python to calculate dimensions of a separator for separation of oil and gas with user inputted parameters.