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A method for predicting wellbore temperature by region and segment based on cementing big data

A big data, sub-regional technology, applied in special data processing applications, design optimization/simulation, etc., can solve the problems of cumbersome formula derivation, troublesome table lookup, limited application scope, etc., to prevent cementing quality and safety accidents, improve Prediction accuracy and accuracy, the effect of high prediction accuracy

Active Publication Date: 2022-07-05
CHINA NAT PETROLEUM CORP CHUANQING DRILLING ENG CO LTD +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The cementing construction design is generally done before the completion of drilling, without electrical measurement, and the borehole temperature at the completion depth cannot be provided in time. Usually, the API method or modeling calculation method is used to calculate the borehole temperature. Due to the large calculation error of the API method, it is necessary to check the temperature when using it. The table is cumbersome, the modeling calculation method is difficult to establish the calculation model, and the formula derivation is cumbersome, which limits the scope of application

Method used

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  • A method for predicting wellbore temperature by region and segment based on cementing big data

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Effect test

Embodiment 1

[0022] A method for predicting wellbore temperature by region and subsection based on cementing big data, comprising: counting electrical measurement data of the block or adjacent blocks, structurally designing the data, establishing cementing big data, and then analyzing the data Excavation was carried out, and the subsection multivariate regression geothermal gradient was used to establish the temperature prediction of each well opening one by one using the progressive method.

[0023] The method specifically includes the following steps:

[0024] a. Collect the deep electrical survey data of the drilling completed in this block or adjacent blocks, and use multiple regression to obtain the geothermal gradient of the drilling;

[0025] b. Collect the deep electrical survey data of the drilled wells in this block or adjacent blocks, and use multiple regression to obtain the geothermal gradient of the open-hole section of this block;

[0026] c. According to the completion dri...

Embodiment 2

[0032] The present invention performs wellbore temperature prediction in the following manner:

[0033] The first step is to collect the deep electrical survey data of the drilling in this block or adjacent blocks, and use multiple regression to obtain the geothermal gradient of the drilling;

[0034] The second step is to collect the deep electrical survey data of the drilled wells in this block or adjacent blocks, and use multiple regression to obtain the geothermal gradient of the open-hole section of this block;

[0035] The third step is based on the drilling depth of this well, using the progressive method to accumulate the temperature of the upper drilling depth and the temperature of the open hole section of the drilling to obtain the temperature of the drilling depth of the drilling;

[0036] Step 4 If the well structure is three-open and above, repeat the second step.

[0037] The following examples are used to further illustrate the present invention:

[0038] A v...

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Abstract

The invention discloses a method for predicting wellbore temperature by region and segment based on cementing big data. , and then the data is mined, and the subsection multivariate regression geothermal gradient is used to establish the temperature prediction of each opening one by one using the progressive method. By adopting the invention, the prediction accuracy of the borehole temperature can be improved, and the engineering and safety accidents caused by the excessive prediction error of the borehole temperature can be avoided.

Description

technical field [0001] The invention relates to a method for predicting wellbore temperature, in particular to a method for predicting wellbore temperature by region and subsection based on cementing big data. Background technique [0002] Borehole temperature is one of the important factors affecting the safety and quality of cementing operations, and affects the selection of cement slurry system, the safety and quality of cementing operations. A low temperature prediction will seriously shorten the pumpable time of cement slurry, which will easily lead to cementing accidents. A high temperature prediction will prolong the waiting time for setting, increase the possibility of oil and gas and water channeling in the well, and delay subsequent drilling operations. [0003] The cementing construction design is generally done before the completion of the drilling, without electrical measurement, and the wellbore temperature of the completion depth cannot be provided in time. Us...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F30/20
CPCG06F30/20
Inventor 刘世彬
Owner CHINA NAT PETROLEUM CORP CHUANQING DRILLING ENG CO LTD
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