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pycaret

An open source, low-code machine learning library in Python

pyela

Python package for Exploratory Lithology Analysis

pyela-doc

Documents and tutorials for pyela and ELA in general

pyfrac

a Python planar 3D hydraulic fracture growth solver

pygeopressure

Pore pressure prediction using seismic velocity and well log data

pygeopressure_well

Graphical User Interface for well log geopressure prediction based on pyGeoPressure

pygeostatistics

Geostatistics in Python

pygrdecl

Visualize Eclipse/Petrel outputs Grid File (GRDECL) using Paraview(VTK)

pygslib

GSLIB fortran code wrapped into python

pyod

A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)

pyreservoir

Python utilities for reservoir engineering calculations

pyresim

Reservoir simulator in Python language

pyseis

Pure python seismic data processing

python

All Algorithms implemented in Python

python-bootcamp-for-geoengineers

Python bootcamp for geoengineers repo

python-matlab-bridge

A simple Python => MATLAB(R) interface and a matlab_magic for ipython

python-tutorials-for-data-science

This repository consist of Python tutorial concepts which are essential for Data Science and Machine Learning

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

pythonnumericaldemos

A collection of Python demos for geostatistical methods.

pytorch_wavelets

Pytorch implementation of 2D Discrete Wavelet (DWT) and Dual Tree Complex Wavelet Transforms (DTCWT) and a DTCWT based ScatterNet

qreservoir

Desktop petrophysics application in Python

quickda

Simple & Easy-to-use python modules to perform Quick Exploratory Data Analysis for any structured dataset!

r2python

Conversion table from R to Python and some examples of routine commands for data analysis in python

r2python-1

ras2las

Well log digitalization

re

My RE (reservoir engineering) Python code

reserves-estimation

Estimation of gas reserve is one of the challenging jobs for oil and gas operators. Decline curve analysis is method to estimate reserves from the production forecast, though it is a result dependent on economic considerations and give insights of recoverable reserves. The gas reserve also can be predicted from volumetric analysis with the help of parameters obtained from well logging data. In this project Machine learning algorithm is applied both on decline curve and well logging data to obtain gas reserves. This study will emerge as way to reduce human efforts and increase accuracy in reserves estimation.

reservoir-engineering

Python worked examples and problems from Reservoir Engineering textbooks (Brian Towler SPE Textbook Vol. 8, etc.)

reservoir-geomechanics

Worked solutions of Prof. Mark Zoback's Reservoir Geomechanics course (StanfordOnline: GEOPHYSX0001) homeworks implemented using Python in ipynb notebooks

reservoir-geomechanics-1

Stanford 2019 RG