Cargando…
Artificial intelligence-based framework for precise prediction of asphaltene particle aggregation kinetics in petroleum recovery
The precipitation and deposition of asphaltene on solid surfaces present a significant challenge throughout all stages of petroleum recovery, from hydrocarbon reservoirs in porous media to wellbore and transfer pipelines. A comprehensive understanding of asphaltene aggregation phenomena is crucial f...
Autores principales: | Sharifzadegan, Ali, Behnamnia, Mohammad, Dehghan Monfared, Abolfazl |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10613205/ https://www.ncbi.nlm.nih.gov/pubmed/37898668 http://dx.doi.org/10.1038/s41598-023-45685-0 |
Ejemplares similares
-
Rapid and Simple
Method for Measuring Petroleum Asphaltenes
by the Centrifugation Technique
por: El Nagy, Hala A., et al.
Publicado: (2022) -
First evidence of mineralization of petroleum asphaltenes by a strain of Neosartorya fischeri
por: Uribe‐Alvarez, Cristina, et al.
Publicado: (2011) -
Microarray analysis of Neosartorya fischeri using different carbon sources, petroleum asphaltenes and glucose-peptone
por: Hernández-López, Edna L., et al.
Publicado: (2015) -
Applications of artificial intelligence techniques in the petroleum industry
por: Hemmat-Sarapardeh, Abdolhossein, et al.
Publicado: (2020) -
Analysis of Xinjiang asphaltenes using high precision spectroscopy
por: Qiyong, Xiong, et al.
Publicado: (2020)