Low parameter model to monitor bottom hole pressure in vertical multiphase flow in oil production wells

摘要: Abstract The importance of the flow patterns through petroleum production wells proved for upstream experts to provide robust schemes based on knowledge about behavior. To accurate pattern distribution wells, prediction/representation bottom hole pressure (BHP) determining drop from surface play important and vital role. Nevertheless enormous efforts have been made develop mechanistic approach, most conventional models or correlations unable estimate represent BHP with high accuracy low uncertainty. defeat mentioned hurdle monitor in vertical multiphase inventive intelligent solution like as least square support vector machine (LSSVM) method was utilized. evolved first-break approach is examined by applying precise real field data illustrated open previous surveys. Thanks statistical criteria gained outcomes obtained LSSVM proposed model has integrity performance. Moreover, very relative deviation between estimations relevant actual figured out be less than 6%. output are closed while other fails predict wells. Provided solutions this study explicated that implies monitoring bottom-hole can indicate more referred target which lead design level reliability oil gas operation facilities.