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- W3128709729 abstract "It is often difficult or expensive to measure a physical quantity with a regular sensor. Many sensors are fragile, especially in the harsh environments common in the oil and gas industry. The cost, both financial and in effort, to install and maintain a sensor over the long term can be entirely saved if it is possible to calculate the desired value, instead of measuring it. This calculation is called a soft sensor and can be based on known formulas or a machine learned model. In this chapter, we investigate the creation of a soft sensor for NOx and SOx emissions in a combined heat and power plant in an oilfield. We find that the calculation is as accurate as a physical measurement, available always, and deployable in multiple locations without additional costs." @default.
- W3128709729 created "2021-02-15" @default.
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- W3128709729 date "2021-01-01" @default.
- W3128709729 modified "2023-10-17" @default.
- W3128709729 title "Soft sensors for NOx emissions" @default.
- W3128709729 cites W2944851425 @default.
- W3128709729 doi "https://doi.org/10.1016/b978-0-12-819742-4.00010-x" @default.
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