petrophysics

Well handling

Geophysics library with various helpful functions

A petrophysics python package for geoscience python computing of conventional and unconventional formation evaluation. Reads las files and creates a pandas dataframe of the log data. Includes a basic petrophysical workflow and a simple log viewer based on XML templates.

Collection of geophysical notes in the form of IPython/Jupyter notebooks.

TotalDepth is capable of processing and analysing petrophysical wireline logs.

Petroleum Data Collector

LAS Explorer is a Streamlit web app that allows you to understand the contents of a LAS file. Also includes the ability to identify missing data intervals.

Python utility for formation evaluation and petrophysical analysis support

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.

Estimate Core-based Permeability from NMR well log data

Reading and eventually writing DLIS/LAS/LIS/SEGY files in golang. Very much work in progress.... at the alpha level

We are using Altair to Select Samples from a Poro-Perm Cross Plot and the respective Pc Curves or other data are then shown for the selected samples

Calculate a Chart Book type of Neutron Density log analysis Porosity using Python's KNN

We have used Mihai's PetroGG and modified the program to be used with our shaley-sand Gulf Coast data. In this version we are using Vshale and not Vclay, and we have added Waxman-Smits and Dual-Water saturation models appropriate for these data.

Analysis notebooks for the geolink well log dataset

We have developed a simple, 1 layer neural network to estimate Rock Types

The objective of this project is to interactively interrogate oil field production data using Altair

Machine Learning Modeling of NMR-Derived T2 Porosity using Quad Combo, Wolfcamp and Spraberry Formations, Reagan County Texas

Shaley-Sand Log Analysis Tutorial using Waxman-Smits and Dual-Water

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

Mihai's PetroGG modified to be used with our shaly-sand Gulf Coast NMR data.

Utilized Tensorflow to estimate the Mode of a Pore Throat Distribution based on Carbonate Core Data

Take continuous high-resolution digital core images of the reservoir rock and process these images to define sand vs. shale for Borehole Imagelog calibration and Sand Count

Assess discrete depth interval to estimate the Petrophysical properties for that interval

This repository is aimed at comparing the most dominant pore throat distribution from core data and relating this to what is estimated from Winland's r35 and Amaefule's FZI

Prediction of Equinor Volve well logs Data

Generate Representative Thin Sections and Capillary Pressure Curves from normalized core data using KNN

To check log data availability in a LAS file

Synchronize log alias to be a single mnemonic