Development of an imperialist competitive algorithm (ICA)-based committee machine to predict bit penetration rate in oil wells of Iran
نویسندگان
چکیده
منابع مشابه
An Imperialist Competitive Algorithm Artificial Neural Network Method to Predict Oil Flow Rate of the Wells
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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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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ژورنال
عنوان ژورنال: Ciência e Natura
سال: 2015
ISSN: 2179-460X,0100-8307
DOI: 10.5902/2179460x20844