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

Welly helps with well loading, wireline logs, log quality, data science

Deep learning tools for predicting oil well data

The python tool for well trajectories

These are python notebooks accompanying Lessons available at GeostatisticsLessons.com

pwptemp

Petroleum Data Collector

Nodal Analysis for Petroleum Production Engineering

R package for Arps decline curve analysis.

This project attempts to construct a missing well log from other available well logs, more specifically an NMR well log from the measured Gamma Ray (GR), Caliper, Resistivity logs and the interpreted porosity from a well.

Unpack and process a wcproduction.zip file from the New Mexico OCD's FTP site

Gas compressibility z-factor calculator package in Python

Open source petroleum engineering projects, useful scripts, functions, and jupyter notebooks

An R package for reading Log Ascii Standard (LAS) files for well log data.

A "simple" decline-curve analysis example in Python

Freely-available public oil & gas data

Python Automatic Decline Curve Analysis (DCA) For Petroleum Producing wells

Discounted cash flow analysis for oil and gas

Compares analytical/numerical results for the drainage of a single well.

Production prediction is one of the core problems in a company. The provided dataset is a set of nearby wells located in the United States and their 12 months cumulative production. The company data scientist needs to build a model from scratch to predict production.