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首页> 外文期刊>Measurement and Control: Journal of the Institute of Measurement and Control >A soft sensor for water-content-in-oil based on GA-RBF neural network
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A soft sensor for water-content-in-oil based on GA-RBF neural network

机译:基于GA-RBF神经网络的油中水分软传感器

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摘要

Water-content-in-oil is a key quantity measurement in the oil fields. This article developed a GA-RBF based soft sensor to measure this key variable. The experiment results show that the developed soft sensor is effective, and the precision and performance /cost ratio might meet the demands for oil well measurements. We expect that the onsite measurement of the water-content-in-oil satisfies with both single well, in zone and the whole oitfield. If so it will greatly contribute to the establishment of digital oilfield.
机译:油中水分含量是油田中关键的量度指标。本文开发了一种基于GA-RBF的软传感器来测量此关键变量。实验结果表明,所开发的软传感器是有效的,其精度和性能/成本比可以满足油井测量的要求。我们希望现场测量油中含水量的单井,区域内和整个油田都能够满足。如果这样的话,将大大有助于数字油田的建立。

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