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1. Exploratory-Data-Analysis-of-Wireline-Well-Log-Data Exploratory-Data-Analysis-of-Wireline-Well-Log-Data Public

   Exploring 118 wells of 1 MM+ rows and 29 columns of wireline petrophysical data using the Pandas library. Analysed & Visualised wireline logs petrophysical dataset using - Pandas, Numpy, Matplotlib…

   Jupyter Notebook 10 1

2. Machine-Predict-Lithologies-Using-Wireline-logs Machine-Predict-Lithologies-Using-Wireline-logs Public

   To identify lithologies, geoscientists use subsurface data such as wireline logs and petrophysical data. However, this process is often tedious, repetitive, and time-consuming. This project aims to…

   Jupyter Notebook 16 2

3. Data-Collection-using-Web-Scraping Data-Collection-using-Web-Scraping Public

   Datasets are essential for all scientists to conduct research, especially coders geoscientists. Research is an inquiry-based process that includes recognising a question, gathering data, analysing …

   Jupyter Notebook 1

4. Digitisation-2D-Sections-From-Scan-Images Digitisation-2D-Sections-From-Scan-Images Public

   Generally, we digitise legacy data in geosciences, such as interpreted geological or seismic sections. Digitisation is creating a computerised representation of a printed analogue.

   Jupyter Notebook 3 1

5. GeoClass-Uncertainty-classifier-How-to-visualise-uncertainty-by-zones-and-levels GeoClass-Uncertainty-classifier-How-to-visualise-uncertainty-by-zones-and-levels Public

   This model is a simple method to classify, quantify and illustrate the uncertainty in subsurface interpretation using python open source libraries. This model takes a practical and coding focused a…

   Jupyter Notebook 2

6. Reservoir-Quality-in-Producing-Sandstones Reservoir-Quality-in-Producing-Sandstones Public

   This project will explore, analyse and visualise publicly available wells datasets from the United States offshore data centre, the USGS boreholes website - Bureau of Safety and Environmental Enfor…

   Jupyter Notebook 4