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oil-and-gas

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The CMS is a multiscale stochastic Lagrangian framework developed by Paris' Lab at the Rosenstiel School of Marine, Atmospheric & Earth Science to study complex behaviors, giving probabilistic estimates of dispersion, connectivity, fate of pollutants, and other Lagrangian phenomena. This repository facilitates community contributions to CMS modules

  • Updated Jun 26, 2024
  • Fortran

Carbonate Reservoir Characterization workflow using Clerke’s carbonate Arab D Rosetta Stone calibration data to provide for a full pore system characterization with modeled saturations using Thomeer Capillary Pressure parameters for an Arab D complex carbonate reservoir

  • Updated Apr 5, 2022
  • Jupyter Notebook

Prediction This repository contains the code and datasets for analyzing and predicting fuel prices, specifically Brent Oil, Crude Oil, Natural Gas, and Heating Oil. The project focuses on creating models to predict the closing prices of these fuels based on their opening, highest, and lowest prices.

  • Updated Jun 26, 2023
  • HTML

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