CN104213873B - A kind of determination method of oil well hollow stem well-washing temperature - Google Patents

Abstract

A kind of determination method of oil well hollow stem well-washing temperature, belongs to petroleum industry petroleum production engineering field.Step 1, determine the parameter of application hollow stem well-washing device thermal washing oil well, founding mathematical models: step 2, gather the actual value of the parameter of 30 wells time oil well applications hollow stem well-washing device thermal washing oil well；Step 3, calculating regression coefficient, obtain regression equation；Step 4, regression equation is tested；Step 5, the determination of oil well hollow stem well-washing temperature；The mathematical prediction set up according to the actual thermal washing data of on-the-spot 30 wells time, coefficient R inspection, the significance F inspection of the significant t-test of regression coefficient, regression equation, all reflect the linear relationship between variable X and Y reasonable；The present invention determines the temperature of oil well hollow stem well-washing by mathematical model, overcomes the drawback that when field technician utilizes hollow stem well-washing device that oil well carries out thermal washing, the determination of thermal washing temperature is carried out by rule of thumb, saves the fuel required for not thermal well flushing well.

Description

A kind of determination method of oil well hollow stem well-washing temperature

Technical field

The present invention relates to a kind of determination method of oil well hollow stem well-washing temperature, belong to petroleum industry Petroleum production engineering field.

Background technology

In oilfield development process, it is often necessary to oil well is carried out clean-out service.At hyposmosis oil well After thermal washing, due to the flushing fluid pollution to oil reservoir, oil well output can be caused to decline and even not go out liquid Phenomenon often occur.

Marvin's sky is published in petroleum geologies in 2011 and the anti-pollution pipe of efficient well-flushing on engineering supplementary issue Post research is not enough for feed flow with application one literary composition, well-flushing does not return oil or waxing in production well, affects yield and asks Topic, a set of efficient well-flushing anti-pollution pipe string of research design, this casing string mainly can be let out by Y221 type The compositions such as oil packer, telescopic compensator, double acting bridge-type ball-and-seat.In Shenyang oil recovery factory 5 The on-the-spot application of well time shows, this tubing string success rate is 100%, not only solves periodically thermal washing pair The injury problem of oil reservoir, and the average well-flushing water consumption of thermal washing decreases half, drainage period is by averagely Within 8 days, shortening to 3 days, average individual well year creates effect 13.7 ten thousand yuan.

Chen Guanliang, Wang Fei, Cheng Yanhui, wait and be published in the 4th phase petroleum machinery magazine in 2006 On efficient well-flushing anti-pollution pipe string research with design one literary composition, for " three is low " oil well or knot Wax oil well uses conventional dosing and cyclical heat well-flushing to easily cause oil layer pollution and affect asking of yield Topic, time efficient well-flushing anti-pollution pipe string of research design.This time tubing string is mainly by Y441 type liquid Pressure packer, laterally bypass compensator, cross the composition such as pressure type standing valve.Zhongyuan Oil Field oil recovery four Factory, the on-the-spot application of five factory 15 wells time that recover the oil show, success of the test rate and qualification rate are 100%, Not only solve the periodically thermal washing injury problem to oil reservoir, and discharge opeing time advance after thermal washing 3d, cost-effective 7.2 ten thousand yuan of average individual well year.

Chinese utility model patent ZL201220233052.X discloses by Li Guodong, Cao person of outstanding talent, Sun Fenghe, et al. a kind of oil well hollow stem well-washing device of invention, flushing fluid from hollow stem and Oil pipe annular space returns to surface line, does not enter stratum, and individual well, without aqueous convalescent period, adds Crude output；Flushing fluid does not enter stratum, solves low pressure, height oozes, water-sensitive is serious oil reservoir Polluted reservoir problem during conventional well-flushing, stops the injury to oil reservoir.

But oil well the most efficiently and economically carries out thermal washing with hollow stem well-washing device do not say Bright, the determination field technician of thermal washing temperature is still groping and is carrying out by rule of thumb.

Summary of the invention

It is an object of the invention to: a kind of determination method of oil well hollow stem well-washing temperature is provided.Overcome Field technician utilizes hollow stem well-washing device oil well to carry out during thermal washing thermal washing temperature really The fixed drawback carried out by rule of thumb.

1, a kind of determination method of oil well hollow stem well-washing temperature, it is characterised in that containing following step Suddenly；

Step 1, determine application hollow stem well-washing device thermal washing oil well parameter, founding mathematical models:

Y=a+bX；

In formula:

Y well mouth of oil well oil outlet temperature, DEG C；

X hot car washing outlet (hollow stem inlet temperature), DEG C；

A regression constant；

B regression coefficient；

Step 2, the parameter of collection 30 wells time oil well applications hollow stem well-washing device thermal washing oil well Actual value；

Step 3, calculating regression coefficient, obtain regression equation；

$b=\frac{\mathrm{\Σ}{X}_i{Y}_i-\stackrel{\‾}{X}\mathrm{\Σ}{Y}_i}{\mathrm{\Σ}{X_i}^2-\stackrel{\‾}{X}\mathrm{\Σ}{X}_i}=0.2315;$

$a=\stackrel{\‾}{Y}-b\stackrel{\‾}{X}=40.5043;$

Regression equation: Y=40.5043+0.2315X；

Step 4, regression equation is tested；

(1) coefficient R inspection；

$R=\sqrt{1-\frac{\mathrm{\Σ}{(Y_i-{Y_i}^{\′})}^2}{\mathrm{\Σ}{(Y_i-\stackrel{\‾}{Y})}^2}}=0.4159;$

When degree of freedom n-2 (n is number of samples 30) and significant level а=0.05, R=0.4159 More than marginal value 0.361,

(2) significant t-test of regression coefficient；Judge the linear hypothesis between variable X and Y The most reasonable；

$t_b=b\sqrt{\frac{\mathrm{\Σ}{(X_i-\stackrel{\‾}{X})}^2}{\frac{\mathrm{\Σ}{(Y_i-{Y_i}^{\′})}^2}{n-2}}}=9.86;$

t_b=9.86 are more than t (а/2, n-2)=2.0484, and parametric t test passes through, variable X and Y Between linear hypothesis reasonable；

(3) the significance F inspection of regression equation；

$F=\frac{\mathrm{\Σ}{({Y_i}^{\′}-\stackrel{\‾}{Y})}^2}{\mathrm{\Σ}{(Y_i-{Y_i}^{\′})}^2/n-2}=7.6194;$

F=7.6194 is а=0.05 more than significance level, degree of freedom n₁=1,n₂F during=n-2 Value 4.20, F upchecks；It is linear that regression equation preferably reflects between variable X and Y Relation；

Step 5, the determination of oil well hollow stem well-washing temperature；According to the actual thermal washing of on-the-spot 30 wells time Data set up mathematical prediction, coefficient R inspection, the significant t-test of regression coefficient, The significance F inspection of regression equation, all reflects the linear relationship between variable X and Y reasonable； Therefore, available Y=40.5043+0.2315X determines the temperature of oil well hollow stem well-washing.

The invention has the beneficial effects as follows: according to different base oil properties, determine oil by mathematical model The temperature of well hollow stem well-washing, overcomes field technician and utilizes hollow stem well-washing device to oil Well carries out the drawback that during thermal washing, the determination of thermal washing temperature is carried out by rule of thumb, the energy-conservation combustion of hot clean-up well Material.The application of more than 100 wells time, success rate 100%, save the combustion required for thermal well flushing well Material.

Detailed description of the invention

Embodiment 1: a kind of determination method of oil well hollow stem well-washing temperature, containing following steps；

Step 1, determine application hollow stem well-washing device thermal washing oil well parameter, founding mathematical models:

Y=a+bX

In formula:

Y well mouth of oil well oil outlet temperature, DEG C；

X hot car washing outlet (hollow stem inlet temperature), DEG C；

A regression constant；

B regression coefficient.

Step 2, the parameter of collection 30 wells time oil well applications hollow stem well-washing device thermal washing oil well Actual value, as shown in table 1.

Table 1

Step 3, calculating regression coefficient, obtain regression equation.

$b=\frac{\mathrm{\Σ}{X}_i{Y}_i-\stackrel{\‾}{X}\mathrm{\Σ}{Y}_i}{\mathrm{\Σ}{X_i}^2-\stackrel{\‾}{X}\mathrm{\Σ}{X}_i}=0.2315$

$a=\stackrel{\‾}{Y}-b\stackrel{\‾}{X}=40.5043$

Regression equation: Y=40.5043+0.2315X

Step 4, regression equation is tested

(1) coefficient R inspection, as shown in table 2；

Table 2

$R=\sqrt{1-\frac{\mathrm{\Σ}{(Y_i-{Y_i}^{\′})}^2}{\mathrm{\Σ}{(Y_i-\stackrel{\‾}{Y})}^2}}=0.4159;$

When degree of freedom n-2 (n is number of samples 30) and significant level а=0.05, R=0.4159 More than marginal value 0.361, illustrate that the linear relationship of X Yu Y is set up.

Critical correlation coefficients table is published in Plan Press of China in April, 2003 first edition " Modern Consulting Method and Practice " book page 257 have described.

(2) significant t-test of regression coefficient.Judge the linear hypothesis between variable X and Y The most reasonable.

$t_b=b\sqrt{\frac{\mathrm{\Σ}{(X_i-\stackrel{\‾}{X})}^2}{\frac{\mathrm{\Σ}{(Y_i-{Y_i}^{\′})}^2}{n-2}}}=9.86;$

t_b=9.86 are more than t (а/2, n-2)=2.0484, and parametric t test passes through, variable X and Y Between linear hypothesis reasonable.

T (а/2, n-2) distribution table is published in Plan Press of China in April, 2003 first edition " Modern Consulting Method and Practice " book page 258 have described.

(3) the significance F inspection of regression equation.

$F=\frac{\mathrm{\Σ}{({Y_i}^{\′}-\stackrel{\‾}{Y})}^2}{\mathrm{\Σ}{(Y_i-{Y_i}^{\′})}^2/n-2}=7.6194;$

F=7.6194 is а=0.05 more than significance level, degree of freedom n₁=1,n₂F during=n-2 Value 4.20, F upchecks.It is linear that regression equation preferably reflects between variable X and Y Relation.

The F-distribution table of the significance F inspection of regression equation is in Plan Press 2003 4 of China " Modern Consulting Method and Practice " book the 259-260 page of moon first edition publication has been remembered Carry.

Step 5, the determination of oil well hollow stem well-washing temperature.According to the actual thermal washing of on-the-spot 30 wells time Data set up mathematical prediction, coefficient R inspection, the significant t-test of regression coefficient, The significance F inspection of regression equation, all reflects the linear relationship between variable X and Y reasonable. Therefore, available Y=40.5043+0.2315X determines the temperature of oil well hollow stem well-washing.

Embodiment 2:

As a example by the 93-18 of Shanxi, the application to the present invention is described in detail.

Jin93-18Jing, crude oil freezing point 31 DEG C, paraffin content 14.38%, former wax point 40 DEG C, empty Core bar depth of setting 800m, is 56 DEG C by production requirement thermal washing well head oil outlet temperature, according to mathematical modulo Type Y=40.5043+0.2315X obtains, and hot car washing outlet temperature X=67 DEG C can meet thermal washing and want Ask.During on-the-spot thermal washing, hot car washing outlet temperature control is between 66-69 DEG C, thermal washing job execution success.

Embodiment 3: as a example by Shanxi 55, the application to the present invention is described in detail.

Jin55Jing, crude oil freezing point 34 DEG C, paraffin content 17.19%, former wax point 43 DEG C, hollow Bar depth of setting 800m, is 58 DEG C by production requirement thermal washing well head oil outlet temperature, according to mathematical model Y=40.5043+0.2315X obtains, and hot car washing outlet temperature X=75.6 DEG C can meet thermal washing and want Ask.During on-the-spot thermal washing, hot car washing outlet temperature control is between 75-78 DEG C, thermal washing job execution success.

Claims (1)

1. the determination method of an oil well hollow stem well-washing temperature, it is characterised in that containing following steps； Step 1, determine application hollow stem well-washing device thermal washing oil well parameter, founding mathematical models:

Y=a+bX；

In formula:

Y well mouth of oil well oil outlet temperature, DEG C；

X hollow stem inlet temperature, DEG C；

A regression constant；

B regression coefficient；

Step 2, gather the reality of the parameter of 30 wells time oil well applications hollow stem well-washing device thermal washing oil well Actual value；

Step 3, calculating regression coefficient, obtain regression equation；

$b=\frac{{\mathrm{\ΣX}}_i{Y}_i-\stackrel{\‾}{X}{\mathrm{\ΣY}}_i}{{{\mathrm{\ΣX}}_i}^2-\stackrel{\‾}{X}{\mathrm{\ΣX}}_i}=0.2315;$

$a=\stackrel{\‾}{Y}-b\stackrel{\‾}{X}=40.5043;$

Regression equation: Y=40.5043+0.2315X；

Step 4, regression equation is tested；

(1) coefficient R inspection；

$R=\sqrt{1-\frac{\mathrm{\Σ}{(Y_i-Y_i^{\′})}^2}{\mathrm{\Σ}{(Y_i-\stackrel{\‾}{Y})}^2}}=0.4159;$

When degree of freedom n-2 and significant level а=0.05, R=0.4159 is more than marginal value 0.361, its In, n is number of samples 30；

(2) significant t-test of regression coefficient；Judge that the linear hypothesis between variable X and Y is No rationally；

$t_b=b\sqrt{\frac{\mathrm{\Σ}{(X_i-\stackrel{\‾}{X})}^2}{\frac{\mathrm{\Σ}{(Y_i-Y_i^{\′})}^2}{n-2}}}=9.86;$

t_b=9.86 are more than t (а/2, n-2)=2.0484, and parametric t test passes through, between variable X and Y Linear hypothesis is reasonable；

(3) the significance F inspection of regression equation；

$F=\frac{\mathrm{\Σ}{(Y_i^{\′}-\stackrel{\‾}{Y})}^2}{\mathrm{\Σ}{(Y_i-Y_i^{\′})}^2/n-2}=7.6194;$

F=7.6194 is а=0.05 more than significance level, degree of freedom n₁=1, n₂F value during=n-2 4.20, F upcheck；Regression equation preferably reflects the linear relationship between variable X and Y；

Step 5, the determination of oil well hollow stem well-washing temperature；According to the actual thermal washing data of on-the-spot 30 wells time The mathematical prediction set up, coefficient R inspection, the significant t-test of regression coefficient, regression equation Significance F inspection, all reflect the linear relationship between variable X and Y reasonable；Therefore, available Y=40.5043+0.2315X determines the temperature of oil well hollow stem well-washing.