AIMC Topic: Petroleum

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Prediction of bioavailability and toxicity of complex chemical mixtures through machine learning models.

Chemosphere Oct 11, 2018
Empirical data from a 6-month mesocosms experiment were used to assess the ability and performance of two machine learning (ML) models, including artificial neural network (NN) and random forest (RF), to predict temporal bioavailability changes of co...
Neural Networks, Computer Machine Learning Soil Risk Assessment Soil Microbiology Soil Pollutants Charcoal Environmental Pollution Biological Availability Hydrocarbons Complex Mixtures Metals, Heavy Petroleum
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Least square neural network model of the crude oil blending process.

Neural networks : the official journal of the International Neural Network Society Mar 2, 2016
In this paper, the recursive least square algorithm is designed for the big data learning of a feedforward neural network. The proposed method as the combination of the recursive least square and feedforward neural network obtains four advantages ove...
Neural Networks, Computer Machine Learning Algorithms Least-Squares Analysis Petroleum
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Oil species identification technique developed by Gabor wavelet analysis and support vector machine based on concentration-synchronous-matrix-fluorescence spectroscopy.

Marine pollution bulletin Jan 13, 2016
Concentration-synchronous-matrix-fluorescence (CSMF) spectroscopy was applied to discriminate the oil species by characterizing the concentration dependent fluorescence properties of petroleum related samples. Seven days weathering experiment of 3 cr...
Fluorescence China Environmental Monitoring Support Vector Machine Water Pollutants, Chemical Principal Component Analysis Spectrometry, Fluorescence Wavelet Analysis Petroleum Petroleum Pollution
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Forecasting Natural Gas Prices Using Wavelets, Time Series, and Artificial Neural Networks.

PloS one Nov 5, 2015
Following the unconventional gas revolution, the forecasting of natural gas prices has become increasingly important because the association of these prices with those of crude oil has weakened. With this as motivation, we propose some modified hybri...
Humans Neural Networks, Computer Forecasting Time Factors Models, Theoretical Models, Statistical Commerce Natural Gas Petroleum
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Global Warming: Predicting OPEC Carbon Dioxide Emissions from Petroleum Consumption Using Neural Network and Hybrid Cuckoo Search Algorithm.

PloS one Aug 25, 2015
BACKGROUND: Global warming is attracting attention from policy makers due to its impacts such as floods, extreme weather, increases in temperature by 0.7°C, heat waves, storms, etc. These disasters result in loss of human life and billions of dollars...
Humans Neural Networks, Computer Algorithms Carbon Dioxide Petroleum Global Warming
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