An ontology designed for oil and gas, and subsurface energy data based on the industry standards.
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Updated
Dec 20, 2024 - HTML
An ontology designed for oil and gas, and subsurface energy data based on the industry standards.
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.
Analysis of spills of produced water by the oil and gas industry in Texas from 2013 to 2022.
landing page for OppinetSIM by RC-OPPINET ITB
studying the float level gauge
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