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油氣分離器壓力之模糊控制研究

Fuzzy Control of the Pressure in An Oil-Gas Separator

摘要


在油氣生產傳輸中,常需使用油氣分離器,將生產出來的流體分離成可販售的油與氣,及欲拾棄的伴產水,以便傳輸,煉製與廢棄等處理。為了讓分離器有較佳的工作效率且不會因壓力與流率的劇烈變化而造成機械故障或者是效率降低,通常會在分離器之前加一控制活門,以控制流體壓力與流率的變化。為了能有效而自動地控制活門的直徑大小以及完成活門控制所需之延遲時間,本研究利用人工智慧中的模糊控制原理來控制活門的變化,使流體在通過控制活門後的壓力及流率能維持在某穩定的範圍之內,或是在超過安全限度時關閉流體通路。為確定所建立的控制模式於各種狀況下都能有最佳的效果,本研究也利用蒙地卡羅法模擬各種進入活門流體之壓力與流率變化情形,以及控制活門所需的延遲時間,觀察模糊控制法是否有效。本研究所建立的模糊控制式可實際應用於現場流體壓力之自動控制上,並可延伸應用於其他的流體控制,例如,防噴器的監測及控制等。

關鍵字

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並列摘要


In oil-gas production/transmission, separator is used to remove undesirable components and to divide the well stream into salable gas and petroleum liquids. To keep separator work efficiently and not to be affected by pressure and flow rate changes that often incur mechanical failure or reduce working efficiency, a control valve is usually added before separator to adjust the pressure and flow rate of the fluid. To pursue a better control of the valve, fuzzy control theory is used in this study so that the pressure and flow rate of the fluid going through the valve can maintain within a certain range, and the valve can be shut off when the pressure exceeds the safety threshold. For ensuring the control model works in different conditions, we use Monte Carlo Simulation to simulate the fluid's pressure and flow rate which changes in time as well as the delay time of valve changes. Using the simulated data, we check whether the fuzzy control model works or not. The fuzzy control model that we proposed performs well in automatic control of the pressure in oil-gas separators. And it may be applied in other fluid pressure control, such as control of blowout preventer.

並列關鍵字

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