A collection of Wells/Drilling Engineering tools, focused on well trajectory planning for the time being.

The python tool for well trajectories

pwptemp

QGIS plugin for geology and exploration. Drill hole desurvey/display and other utilities.

Leveraging matplotlib to visualize well drilling and construction

Calculate directional survey metadata points along the wellbore.

The objective of this GitHub repository is to develop code that can effectively display well log parameter plots and their animations.

Torque and drag calculations

This is class project I conducted as team leader. I developed Matlab code to calculate the wellbore stability considering Mohr-Columb failure criteria in gemomechanical calculations. Example cases was studied using the code and based on results conclusions about wellbore stability during drilling was reached.

Upload well LAS (log ASCII) files and view the raw logs interactively in streamlit

With massive amount of permutations possible when scheduling Oil & Gas PAD development, an automated optimizer is essential in order to identify the best development sequence. This repository allows to honour development hard constraints and assess performance of soft constraints.

Codes related to petroleum and drilling engineering projects.

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.

An R-function that makes plotting geological depth/age data easy

Temperature Analyser v1.0 is designed as a web application helping users to determine pre&post drill temperature conditions in vertical boreholes. Development is based on dash & plotly.

Pore Pressure Analysis workflow using Eaton's Equation

Plot target lines for geosteering and directional drilling.

An open-source Python package for writing DLIS files.

A PyQt5 app catered to the exploration industry for visualizing geologic drill hole data with features like cross-sections, simple 3D views, strip logs, scatter plots, and downhole line plots. Includes data transformation techniques like factor analysis, desurveying, and alpha-beta conversion.

Final Project of BI Upskilling