Jet Pump Parameters Optimization Design and Implementation

Jet Pump Parameters Optimization Design and Implementation
Core tips: Optimization and design of jet pump parameters Lu Gang, Yu Dongguang. Hu Yi Gao Chengyu. Du Gu Caisheng Oilfield Co., Ltd., Gudao Oil Production Plant, Dongying 257231, Shandong, China Abstract: In order to improve the efficiency of the jet pump and integrated operation, a number optimization system was developed; the overall design and implementation process of the system were described in detail.

Jet Pump Parameters Optimization Design and Implementation Lu Gang, Yu Dongguang. Hu Yi Gao Chengyu. Du Gu Caisheng Oilfield Co., Ltd. Gudao Oil Production Plant, Dongying 257231, Shandong, China Abstract: In order to improve the efficiency of the jet pump and integrated operation, a number-optimized system was developed; the overall design and implementation process of the system were described in detail, and key parts were analyzed; This system promotes the operation effect in Gudao Oilfield; the software is compiled with + programming language, visual effect, keyword jet pump, pump efficiency, parameter optimization, program design, mathematical model jet pump well in the normal production process, Due to the unreasonable prediction of the liquid supply capacity of the formation and the mismatch of the parameters of the hydrodynamic operating pressure nozzle throat size, the efficient operation of the jet pump is often affected. Therefore, the author developed a parameter optimization software to initialize and equip the jet pump well parameters in order to improve the operating efficiency of the jet pumping well. 1 The system design and implementation of the three main indicators of the efficient jet pump operation are the quality test ratio quality. The ratio of the liquid production volume to the power liquid injection amount of the jet pump in the normal production excess product 1, and the liquid supply capacity of the ground 14 is converted to the dynamic liquid injection nozzle throat size matching the power liquid injection pressure. For the maximum quality test ratio. At this point, the power fluid injection volume is minimized, the production fluid reaches the maximum, the jet pumping is economical, and the design input design of a rational 1.1 input, ie, the data input of the parameter optimization design includes the nozzle throat size of the current jet pump during normal production. , The amount of fluid produced and the amount of fluid used; The sequence of fluid production for normal production of oil wells shall be in the same horizon for a period of one month; the oil well projects the normal moving fluid surface before dumping; and the force injected into the system is injected into the ground. 1.2 Prediction of Oil Supply Capacity Design Linear Modeling Buccal 1 is the observed vector production sequence of the system; 1 is the residual vector consisting of measurement errors using the principle of least squares unbiased estimation 1 and the method of summing weighted residuals as the minimum estimator 23 Finding the Best Estimator of Formula 1 The non-linear Jian Jian model vector corresponds to the equation The solution of this model is divided into 2 steps. First, the model is linearized. The linearization of the model is to use the Taylor series linear approximation of the model instead of the nonlinearity. The linear approximation of the approximation function by the function corpse is based on the starting point of the solution vector and the observed point of view measurement. Optimization According to the company standard of Shengli Petroleum Administration Bureau 6151, the optimization process of parameters is divided into 3 steps. 1332122 AUTHOR'S INTRODUCTION Lu Gang 1974, male, graduated from university in 1997, is mainly engaged in the production and management of oil projects.

Medium classification number 1 D 335.5 Document identification code to determine the best quality ratio to the existing parameters of the search criteria for the nozzle number and throat number Dan, calculate the lifting force code 昃 = household 77, and according to the lifting force code access standard The optimal mass ratio of the combination, using the current mass ratio of 1 in the normal production process, the ratio of the production fluid volume of the formation and the injection volume of the power fluid is compared with the highest mass ratio of the combination of the parameters, then the lifting force of the pump is explained. If it is too large, it should be reduced by 1 in order of 0.7 and it has to be 6, and the bellows should be added. If the pressure is added to the liquid, or the corresponding nozzle of the 2nd series is used, the juice of the plant is liquid. The heart milk is used to inflate the formation fluid+, and it is expected that the well in the stable operation of the jet pump is expected to convert the hydraulic fluid level, check the standard, select the actual nozzle size, identify, request, do 1 determine the size of the small throat symbol, according to the too , Calculate the value, the private standard, select the actual throat size parameter and apply it to the actual one after reselection, and then use the actual mass ratio under the normal production conditions at the site to check if the parameters are buried if not mediated. Step, find the corresponding. Number of combinations. For the above-mentioned turn optimization process agricultural + programming language 41 is compiled software.

2 Application examples The software has been widely used in jet pump wells in Gudao Oilfield. This section only introduces the whole process of initializing and initializing parameter prediction for producing liquid production capacity of well 00174. The well was changed to jet pump production on September 7, 1999, and the liquid supply capacity of this well was predicted before production. The force prediction first investigated the fluid production volume of the well from September 1998 to May 1999. 1 The current liquid supply capacity prediction was performed using 9 groups of 1 and a total of 6 models were established to calculate the predicted accuracy. The linear model is the best production pre-time year. The monthly production volume m3 2 parameter is optimized, and the initialization parameter before the optimization of 174 wells is: nozzle size 3.1 throat size 5.61 In this parameter, the production volume of the well reaches 80m 3d, the power fluid volume is 135m 3d, and the dynamic fluid injection pressure is 10.0MPa. The hydraulic fluid surface is 200m, the lifting force code is, the best mass ratio is 0, and the lifting capacity is not enough, indicating that the initialization parameter before optimization is unreasonable. The parameter optimization system was used to perform matching tests on the parameters nozzle throat. The optimized parameters were nozzle size 3.5 and throat size 5.6. The optimized lifting force code was: the optimal mass ratio was 0.71. In production, the production volume has increased to 123.5m3d, the amount of power liquid has been reduced to 135m3d, and the actual mass ratio has been increased to 0.97Jc.

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