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Wellbore temperature prediction method based on cementing big data

A big data, sub-regional technology, applied in electrical digital data processing, special data processing applications, instruments, etc., can solve the difficulty of modeling calculation method to establish a calculation model, unable to provide wellbore temperature in time, API method calculation error, etc. It can improve the prediction accuracy and accuracy, prevent cementing quality and safety accidents, and achieve the effect of reliable principle.

Active Publication Date: 2018-12-28
CHINA NAT PETROLEUM CORP CHUANQING DRILLING ENG CO LTD +1
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  • Abstract
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  • 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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  • Wellbore temperature prediction method based on cementing big data

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Embodiment 1

[0022] A method for predicting borehole temperature by region and segment based on cementing big data, including: counting the electrical measurement data of the block or adjacent blocks, structurally designing the data, establishing cementing big data, and then analyzing the data Excavation is carried out, and the sub-multiple regression geothermal gradient is used to establish the temperature prediction of each wellbore one by one using the progressive method.

[0023] Described method specifically comprises the steps:

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

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

[0026] c. According to the completion drilling depth of the well, use the progressive method...

Embodiment 2

[0032] The present invention predicts borehole temperature in the following manner:

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

[0034] The second step is to collect the electrical logging data of the drilling depth in this block or adjacent blocks, and use multiple regression to obtain the geothermal gradient of the open-hole section of the original development;

[0035] Step 3 According to the completion drilling depth of the current well, the progressive method is used to accumulate the temperature at the upper drilling and completion drilling depth and the temperature of the open hole section of the current drilling to obtain the deep wellbore temperature of the current drilling and completion drilling;

[0036] Step 4 If the shaft structure is three or more, repeat the second step.

[0037] The following examples are used to further illu...

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Abstract

A method for predicting wellbore temperature by region section based on cementing big data includes statistics of electric logging data of the block or adjacent blocks, structured design of data, establishment of cementing big data, data mining, and establishment of temperature prediction of each opening wellbore one by one by piecewise multiple regression geothermal gradient using progressive method. The invention can improve the accuracy of wellbore temperature prediction and avoid engineering and safety accidents caused by excessive wellbore temperature prediction error.

Description

technical field [0001] The invention relates to a method for predicting borehole temperature, in particular to a method for predicting borehole temperature by region and segment 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, safety and quality of cementing construction. A low temperature forecast will seriously shorten the pumping time of cement slurry, which may easily lead to cementing accidents. A high temperature forecast will prolong the waiting time, increase the possibility of oil and gas water channeling downhole, and delay subsequent drilling operations. [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 ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50
CPCG06F30/20
Inventor 刘世彬
Owner CHINA NAT PETROLEUM CORP CHUANQING DRILLING ENG CO LTD
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