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Applications of optical descriptors for estimating the amount of sulphur in high viscosity petroleum fractions from the Ashalchinsk oil field

机译：光学描述符的应用亚山辛油田高粘度石油馏分中硫量的应用

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Milana M. Dolomatova; Rashid I. Hairudinov; Ildar R. Hairudinov; Ella A. Kovaleva;
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1. Prediction of Viscosity of Heavy Petroleum Fractions and Crude Oils Using a Corresponding States Method [J] . Hassan M. Moharam, Mohamed A. Fahim Industrial & Engineering Chemistry Research . 1995,第11期

机译：对应态方法预测重质石油馏分和原油的粘度
2. Application of PROSPECT for estimating total petroleum hydrocarbons in contaminated soils from leaf optical properties [J] . Lassalle Guillaume, Fabre Sophie, Credoz Anthony, Journal of Hazardous Materials . 2019,第SEPa5期

机译：PROSPECT在根据叶片光学特性估算污染土壤中总石油烃中的应用
3. Evaluating field shape descriptors for estimating off-target application area in agricultural fields. [J] . Zandonadi R. S., Luck J. D., Stombaugh T. S., Computers and Electronics in Agriculture . 2013,第Null期

机译：评估田间形状描述符，以估计农业领域的目标外应用面积。
4. Influence of the additives of natural sulphur-organic compounds on thermal stability of oil fractions of arlan petroleum [C] . L R Gainullina, V P Tutubalina, L S Sabitov International Scientific-Technical Conference on Innovative Engineering Technologies, Equipment and Materials . 2018

机译：天然硫 - 有机化合物添加剂对阿尔兰石油油分热稳定性的影响
5. Sulphur Fractions in Soils of Long-term Experiments with Various Management Practices and Cropping Systems Under Different Agro-ecological Zones of India [D] . Padhan, Dhaneshwar. 2014

机译：在印度不同农业生态区下的各种管理实践和种植系统的长期实验中的硫部分
6. Distribution of petroleum degrading genes and factor analysis of petroleum contaminated soil from the Dagang Oilfield China [O] . Qinglong Liu, Jingchun Tang, Zhihui Bai, -1

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7. Prediction of the Viscosity of Heavy Petroleum Fractions and Crude Oils by Neural Networks. [O] . Abdulla ISMAIL, M. S. SOLIMAN, M. A. FAHIM 1996

机译：神经网络预测重型石油馏分和原油的粘度。

Applications of optical descriptors for estimating the amount of sulphur in high viscosity petroleum fractions from the Ashalchinsk oil field

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