Advance artificial time series forecasting model for oil production using neuro fuzzy-based slime mould algorithm

Oil production forecasting is an important task to manage petroleum reservoirs operations. In this study, a developed time series forecasting model is proposed for oil production using a new improved version of the adaptive neuro-fuzzy inference system (ANFIS). This model is improved by using an opt...

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Detalles Bibliográficos
Autores principales: AlRassas, Ayman Mutahar, Al-qaness, Mohammed A. A., Ewees, Ahmed A., Ren, Shaoran, Sun, Renyuan, Pan, Lin, Abd Elaziz, Mohamed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Original Paper-Production Engineering
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8664677/
https://www.ncbi.nlm.nih.gov/pubmed/34926107
http://dx.doi.org/10.1007/s13202-021-01405-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8664677/
https://www.ncbi.nlm.nih.gov/pubmed/34926107
http://dx.doi.org/10.1007/s13202-021-01405-w

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