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Logging big data real time driving based in-service oil casing pipe defect automatic determination method

An automatic determination, big data technology, applied in surveying, earthwork drilling, wellbore/well components, etc., can solve problems such as the inability to realize automatic determination of defect types

Active Publication Date: 2016-09-21
BC P INC CHINA NAT PETROLEUM CORP +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

But the disadvantage of the present invention is that it is limited to wellhead and ground detection, and can only detect defects but cannot realize automatic determination of defect types

Method used

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  • Logging big data real time driving based in-service oil casing pipe defect automatic determination method
  • Logging big data real time driving based in-service oil casing pipe defect automatic determination method
  • Logging big data real time driving based in-service oil casing pipe defect automatic determination method

Examples

Experimental program
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Effect test

Embodiment

[0113] The wall thickness, inner diameter and outer diameter information of an in-service oil well casing at a depth of 2000m was measured, and the minimum wall thickness threshold of the casing made of this material is 0.220m.

[0114] Step 1: Determine the minimum wall thickness threshold D of oil casing in service 1 = 0.22 and maximum depth H = 2000;

[0115] Step 2, determining the depth increment ΔH=0.125 and the circumferential angle increment ΔA=5° recorded by the logging tool;

[0116] Step 3: According to the condition of the logging tool, read out the big data of the wall thickness of the tubing and casing in real time, and store it as a two-dimensional matrix D; the number of rows of the wall thickness matrix N=16000, columns Number M=72;

[0117] Step 4, traverse the large data matrix D of the wall thickness of oil and casing in the order from top to bottom (i=1,2,...,N) from left to right (j=1,2,...,M), and find that in D at depths 1237.075m (line 9895) and 123...

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Abstract

The invention discloses a Logging big data real time driving based in-service oil casing pipe defect automatic determination method. The method includes: determining the minimum wall thickness threshold and the maximum depth of an in-service oil casing pipe, the depth increment and the circumference increment recorded by a logging meter, and wall thickness big data of the oil casing pipe; performing a value compensation treatment and a smoothing treatment on the wall thickness big data of the oil casing pipe; determining a defect zone of the oil casing pipe; quantitatively calculating out basic parameters of the defect zone of the oil casing pipe; and determining the qualitative type of a defect of the oil casing pipe through a quantitative analysis method. The method can perform data treatment and analysis in real time according to the logging big data, can effectively detect the defect zone of the oil casing pipe, can quantitatively calculating out the basic parameters of the defect zone of the oil casing pipe so as to achieve accurate positioning of the defect zone, and can accurately determine the qualitative type of the defect of the oil casing pipe through the quantitative analysis method. The method is good in real-time performance, is high in accuracy, is high in reliability, is full in information, and is high in degree of automation.

Description

【Technical field】 [0001] The invention belongs to the technical field of oil well pipe safety engineering, and in particular relates to an automatic determination method for in-service oil casing defects driven in real time based on well logging big data. 【Background technique】 [0002] In the actual use of oil and gas wells, the tubing and casing not only bear the combined loads of tension, internal pressure and external extrusion force, but also are extremely vulnerable to the chemical action of corrosive media such as formation water, reservoir medium and acidification. Defects such as voids, cracks, corrosion pits and uniform thinning often appear. According to the field statistics of the oil field, the number of damaged oil and gas wells caused by oil casing defects accounts for about 20% of the total number of oil and gas wells, and this value can even reach 30% to 40% in oil wells under special working conditions. Therefore, accurately determining the defects of the ...

Claims

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Application Information

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IPC IPC(8): E21B47/00
CPCE21B47/00
Inventor 王鹏胡美娟韩礼红冯耀荣
Owner BC P INC CHINA NAT PETROLEUM CORP
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