Prediction of oil flow rate through an orifice flow meter: Artificial intelligence alternatives compared
نویسندگان
چکیده
منابع مشابه
Evolving artificial neural network and imperialist competitive algorithm for prediction oil flow rate of the reservoir
Multiphase flow meters (MPFMs) are utilized to provide quick and accurate well test data in numerous numbers of oil production applications like those in remote or unmanned locations topside exploitations that minimize platform space and subsea applications. Flow rates of phases (oil, gas and water) are most important parameter which is detected by MPFMs. Conventional MPFM data collecting is do...
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Flow rates of oil, gas and water are most important parameters of oil production that is detected by Multiphase Flow Meters (MFM). Conventional MFM collects data on long-term, because of the radioactive source is used for detection and in unmanned location used due to being away from wells. In this work, a new method based on feed-forward artificial neural network (ANN) and Imperialist Competit...
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One of the challenging problems in the Oil & Gas industry is accurate and reliable multiphase flow rate measurement in a three-phase flow. Application of methods with minimized uncertainty is required in the industry. Previous developed correlations for two-phase flow are complex and not capable of three-phase flow. Hence phase behavior identification in different conditions to designing and mo...
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ژورنال
عنوان ژورنال: Petroleum
سال: 2020
ISSN: 2405-6561
DOI: 10.1016/j.petlm.2018.09.003