Development of an ANN-based soft-sensor to estimate the apparent viscosity of water-based drilling fluids

详细信息    查看全文

• 作者：Vitor Diego da Silva Bispo^a ; Clá ; udia Miriam Scheid^b ; Luí ; s Amé ; rico Calç ; ada^b ; Luiz Augusto da Cruz Meleiro^b ; ^{meleiro@ufrrj.br}
• 关键词：Artificial neural networks ; Deepwater oil exploration ; Rheological properties
• 刊名：Journal of Petroleum Science and Engineering
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：150
• 期：Complete
• 页码：69-73
• 全文大小：750 K
• 卷排序：150

文摘

Oil exploration in marine fields is a challenging problem in oil production. The monitoring of the drilling fluids’ properties is essential to oil production. Extensive research and huge investments are applied in drilling fluids technology. An ANN was developed to estimate the apparent viscosity of drilling fluids.