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-segmented-images

The datasets contain segmented X-ray micro-tomographic images showing mineral dissolution of three carbonate rock samples via CO2 acidified brine fluid flow at reservoir conditions. Related dada about permeability, porosity, dissolved volume and pore radius can be found here.

2015lab3

2015lab6

3w_dataset

The first realistic and public dataset with rare undesirable real events in oil wells.

agritech-lidar-data-analysis

The aim of this project is to produce an easy to use, reliable and well designed python module that domain experts and data scientists can use to fetch, visualise, and transform publicly available satellite and LIDAR data. In particular, I will use an interface with USGS 3DEP and fetch data using their API.

alce-22

ali-modak_rod-pump

amlworkshop

Student Materials for MTC Azure ML Workshop

anamoly-detection-petroleum

Data Science Project to detect the position of anamolies/flaws/metal loss in petrol pipelines(each pipe) using data provided by a device called "Pig" that travels inside the pipes.

anomalydetectionml

Classification and Regression Machine Learning Model Approach for Anomaly Detection in Oil and Gas Pipelines

applications-of-ai-for-predictive-maintenance

Nvidia DLI workshop on AI-based predictive maintenance techniques to identify anomalies and failures in time-series data, estimate the remaining useful life of the corresponding parts, and map anomalies to failure conditions.

aramco-hack-2019

aramco-hack-2019

archive

Archived Work

augur.ai

I'm Pickle-Rick!!!!

automated_decline_curve_analysis_oil_and_gas_wells

This Python script uses webscraped Bakken data to generate automated exponential and hyperbolic decline curves for production forecasting for individual wells.

automatic-summarization-of-technical-literature-on-oil-and-gas

This repository serves as a public record of the code produced during for my bachelor's thesis in Mechatronics Engineering at the Polytechnic School of the University of São Paulo (Poli-USP)

bakerhughes

Baker Hughes Hackathon

bakken_dca

Analysis of a set of public data for oil wells in the Bakken, ND.

basic-well-log-interpretation

Basic Well Log Interpretation with python, pandas, matplotlib

bb-ml

FORCE Hackathon: Biostratigraphy By ML

bestpracticesconstructionwellmodels

Best practices for the construction of well models. Beamer presentation

ca

California oil and gas data

ca-1

California oil and gas data

capiv

This repository contains a Streamlit app built to visualize and analyze energy production data from unconventional wells using a public dataset. The app allows users to interactively explore the dataset, filter data by operator, well type, and well identifier, and view visualizations of production rates over time.

capstone

carbonates--generate-representative-thin-sections-and-pc-curves-from-normalized-core-data-using-knn

This Carbonate-oriented repository utilizes normalized core data and KNN. This program queries a published carbonate core analysis database having Thomeer Capillary Pressure parameters and another data set with links to available Thin Sections. After querying a poro-perm Cross Plot, the program then generates a widget showing an estimated Capillary Pressure curve and representative Thin Sections based on the user-defined poro-perm relationship.

carbonates-estimate-petrophysical-rock-types-prt-from-normalized-core-data-using-knn

Predict Petrophysical Rock Types (PRT) using KNN

chartbook-neutron-density-porosity-estimations-using-knn

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

choke-size-prediction

A Gas flow rate via choke size prediction of bangladeshi oil-gas well using machine learning regressors

clockwork-rnn-porosity-log-prediction

A Clockwork RNN model to train on compressional velocity (Vp), formation density (Rhob), gamma ray (Gr), and resistivity (Rt) logs to predict Neutron Porosity (Nphi)