Well Logging and Core Analysis Dataset for Limestone and Dolomite Classification Using Machine Learning

Description

The data was collected from well logging operations and core analysis of carbonate reservoirs. Well logging tools were run to measure gamma ray emissions, bulk density, porosity, water saturation, and other petrophysical properties. Core samples were extracted and analyzed in the laboratory to determine density, porosity, permeability, and lithology type. A total of 5800 data points were collected with comprehensive coverage of lithological variations. The depth range spans from 10,611 to 12,409 feet, with bulk density ranging from 2.07 to 3.28 g/cc and gamma ray readings ranging from 44.69 to 72.44 gAPI. The dataset includes both limestone and dolomite samples with their corresponding petrophysical properties.

Institutions

• Emirates International University

  Amanat Alasimah, Sanaa

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