Chemometric Classification of Crude Oils in Complex Petroleum Systems Using t-Distributed Stochastic Neighbor Embedding Machine Learning Algorithm
| Autor: | Keyu Tao, Jian Cao, Chunhua Shi, Yuce Wang, Julei Mi, Wanyun Ma |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Computer science
business.industry General Chemical Engineering Complex system Energy Engineering and Power Technology Machine learning computer.software_genre complex mixtures chemistry.chemical_compound Fuel Technology Multiple factors chemistry t-distributed stochastic neighbor embedding Petroleum Artificial intelligence business computer |
| Zdroj: | Energy & Fuels. 34:5884-5899 |
| ISSN: | 1520-5029 0887-0624 |
| DOI: | 10.1021/acs.energyfuels.0c01333 |
| Popis: | The origin of crude oils is fundamental in the study of petroleum systems, but encounters difficulties in complex systems because traditional geochemistry proxies are influenced by multiple factors... |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|