Prediction of the actual pump efficiency of the oil-distribution system and type pump in the Western Exploration Project Cao Yuquan, Wu Yanbo, Daqing Petroleum Institute, Heilongjiang Anda 1514 regression equation, which provides a method for predicting the actual pump efficiency 2 by the nameplate, and the conclusion in the paper is available for the project. Practical application.
Type 0 clear water pump and type pump, when transporting crude oil or water-containing crude oil, due to the influence of the viscosity of the medium, the actual pump efficiency 2 is compared with that of the nameplate. Both the actual average pump efficiency 2 and the given efficiency of the nameplate 2 are the worst. The value is 13. Based on these data, based on these data, the phase drop of the measured average pump efficiency 2 to the nameplate efficiency is analyzed and the average of the relationship between the 698-type pump and the 289-type pump under the rated condition is measured. Comparison of pump efficiency 2 and the efficiency given on the nameplate as can be seen 2 Scatter and sample regression equation 100120 Model No. 100 Statistical Station Nameplate Efficiency Measured Average Pump Efficiency Redundancy 2.1 Scattered by 1 Data Available, Different Nameplate Efficiency; Measured Average Efficiency 2 The distribution for the convenience of engineering applications, can be assumed that these points are distributed in the vicinity of the straight line, it can be considered between the 2 and obey the following linear model, that is, for random shame in the formula if 7 = 21 =, then equation 1 can be rewritten For the form, where 0 is the regression constant 4 is the regression coefficient.
2.2 Regression equation of the sample From the 1 data, the sample observation number is 7, the number of variables is 2, and 4 low-water cement slurry is applied on the spot of the Tuha oilfield. The cement slurry formula for protecting the reservoir is applied to cementing in the Tuha oilfield. Tests, the effect is remarkable 2 1 Zhang Shao. Protecting reservoir technologies such as Petroleum Industry Press.
2 Li Kexiang. Protect oil and gas drilling and completion technology. Petroleum Industry Press. 3 Xu Huifeng. Drilling Technical Manual Cementing.
Cao Yuquan Wu Yanbo's prediction of the actual pumping efficiency of Type 0 and type pumps in the oil delivery system From the above data, the regression coefficient 6 can be obtained as b = LxLxx 1.0748. The regression constant is the sample regression equation that yields 7 on 1 as the 3-sample regression equation. Test 3.1 Correlation test The significance level is taken as 0.05, the confidence level is 1 butt = 0.95, the number of variables is 2, and the degree of freedom is 25. The correlation coefficient can then be calculated. The calculated value of the correlation coefficient is known from the correlation coefficient at T=ft052=5. The critical value of the correlation coefficient is 0.754 due to 0.97840.754. Therefore, it can be seen that there is a relationship between 7 and 7 in particular. The equation is meaningful, the original assumption is true, and because the calculated value of 1. approaches, it can be considered that The nameplate efficiency of the tested pump means that the efficiency 3 of the pump obtained by substituting in equation (4) is a factor related to the significance level taken. It can be found that when 1.10 is taken, the degree of freedom 2=5 can be found. At this point 4 = 2.02, the 1 and other relevant data into the formula, you can improve the determination of 2 in the range of when the pump's nameplate efficiency; close to 0.6893, because of 0.68932 in formula 6 tends to zero, so Sentences can be reduced to the confidence that Formula 6 and Formula 7 can be off by 9 and predict actual Effect in which the interval.
7 and 1 are almost completely related.
3.2 Significant test The significance test of the regression equation of the sample is performed using the lower test method. The calculated value obtained from the above-mentioned relevant data is used as an example and selected. When =0.80, the formula 40.7101 is used to obtain equations. It can be seen that the pump efficiency 2 is within the interval between the actual pump efficiency of 65.4 and 76.61. Since 091 is less than 6.6, it can be confirmed. Under the condition of working 0.05, the regression effect is extremely significant.
As an example, the election; 0.70, obtained by the equation 4; 0.6026 At this time using Equation 7, can be found at this time the pump efficiency 2 is Q5514, 0.6538 is the pump actual efficiency 2 between 55.1 and 65. between.
3.3 Accuracy of the regression line 237 The probability of falling within the 723 interval is 2 = Factory 2 = Substitution equation 3. The sample regression equation of 2 and is: Equation 4 is obviously linear to the actual pump efficiency 2 and the nameplate efficiency; .
4 Prediction of Pump Efficiency 4.1 Point Prediction Using equation 4, point prediction can be made for the actual efficiency of the pump during rated operation. As an example, take 2 = .60, from which Equation 4 can be obtained 0.4951 this value and 1 Measure the average pump efficiency. 491 is very close, tolerances. As an example. A 124 pump. Its = 0.71. The measured pump efficiency is 2 = .637. Equation 2 is used to obtain 2 = 0.613. Compared with 0.637, the difference is 0.023. It can be seen that Equation 4 has practical application value. 4.2 Interval prediction is based on Equation 4. Interval prediction for actual pump efficiency 2; including nameplate efficiency 2 interpolated. The prediction of chestnut efficiency within the range of 55.80; and 21 extensions. 55 and. 80 pump efficiency prediction. Under the condition of a certain level of significance, it can be predicted that the interval of 2 at this time is 5 Conclusions The measured data of the efficiency of nearly 1,000 units of type 0 and type oil pump shows that the actual pump efficiency is lower than that of the nameplate, the actual pump efficiency 2 and the nameplate The statistical correlation of the efficiency is determined by Equation 4. Equation 4 can be used to perform point prediction on the actual pump efficiency 5; Equation 6 and Equation 7 can also be used to predict the interval efficiency of the pump efficiency 2 with a confidence of 90. One-way practice can be dumped 1. Wang Bo cotton. Research on improving the efficiency of oil delivery system in Sanan Oilfield. Technical Report on Oil-gas Gathering and Transmission for Low Energy Consumption and Energy Saving in Sanqing Oilfield, Daqing, China National Petroleum Corporation, 1991fi 2. Liao Zhaoxu. Probability theory and mathematical statistics. Beijing. Beijing Normal University Press,
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