Engineering investigation quality fine evaluation method based on PageRank algorithm

A technology of engineering survey and evaluation method, which is applied in the direction of calculation, complex mathematical operations, instruments, etc., can solve difficult and subjective problems, and achieve the effect of saving man-hours

Pending Publication Date: 2020-12-25
SHENZHEN INVESTIGATION & RES INST
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

This patented technology allows engineers to make better decisions about evaluating their work by comparing different types of data from an underground wellbore with those taken beforehand or afterward during exploration operations. By doing that they identify influences such as geology (formation) conditions like inclination angle, depth, etc., along the way between two points called PP). Based upon these impact relationships, we use pageRank algorithms to rank them up into categories and calculate weights accordingly. These calculations help us predict how good the hole will look when excavated at certain angles without damaging other structures below. Overall, our technical effect is improved efficiency and accuracy in assessments involving oil field development pipelines.

Problems solved by technology

This patented technology solves issues related to objective assessment of boring quality during construction projects such as determining whether or how well holes should undergo excavations before they become too weakened due to environmental conditions like water intrusion that may cause damage from corrosion caused by acid rain. However current methods often require manual judgment and lack specificity, making them challenged because these limitations make accurate measurement impossible without prior knowledge about their properties.

Method used

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  • Engineering investigation quality fine evaluation method based on PageRank algorithm
  • Engineering investigation quality fine evaluation method based on PageRank algorithm
  • Engineering investigation quality fine evaluation method based on PageRank algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0037] Embodiment 1: a kind of engineering survey quality refinement evaluation method based on PageRank algorithm comprises the following steps: specific reference figure 1 ,

[0038] Step S001, list the various influencing factors affecting the drilling quality, and determine the mutual influence relationship between each influencing factor;

[0039] In step S001, in step S001, the influencing factors affecting the drilling quality include: final hole depth, final hole diameter, coring rate, drilling verticality, timeliness of recording, layering accuracy, description accuracy, Sampling, standard penetration, dynamic detection, static detection.

[0040] The mutual influence relationship between various influencing factors can be determined by making the mutual influence relationship model of each influencing factor.

[0041] Specific reference figure 2 , figure 2 It is a model diagram of each influencing factor affecting the drilling quality in the present invention, and

Embodiment 2

[0078] Embodiment 2, the present embodiment is basically consistent with embodiment 1, and its difference is: in the present embodiment, selected the specific data of each influencing factor of the second borehole, through the actual measurement of each influencing factor of the second borehole Data, determine the degree of membership corresponding to the measured value of each influencing factor as shown in Table 5:

[0079]

[0080]

[0081] Table 5 is the index membership evaluation table of the borehole measured value in embodiment 2. Establish the borehole quality evaluation membership matrix R according to the data in Table 5, specifically,

[0082]

[0083] Utilize the above-mentioned drilling quality evaluation membership matrix R and weight vector A to establish the evaluation matrix B=A×R, the result calculated according to the evaluation matrix B and the quality evaluation set V={υ 1 , υ ,2 , υ 3}={excellent, qualified, unqualified}, adopt the principle of m

Embodiment 3

[0087] Embodiment 3, the present embodiment is basically consistent with Embodiment 1, and its difference is: in the present embodiment, selected the specific data of each influencing factor of the 3rd borehole, through the actual measurement of each influencing factor of the 3rd borehole Data, determine the degree of membership corresponding to the measured value of each influencing factor as shown in Table 6:

[0088]

[0089] Table 6 is the index membership evaluation table of the borehole measured value in embodiment 3. According to the data in Table 6, the drilling quality evaluation membership matrix R is established, specifically,

[0090]

[0091] Utilize the above-mentioned drilling quality evaluation membership matrix R and weight vector A to establish the evaluation matrix B=A×R, the result calculated according to the evaluation matrix B and the quality evaluation set V={υ 1 , υ ,2 , υ 3}={excellent, qualified, unqualified}, adopt the principle of maximum degre

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Abstract

The invention discloses an engineering investigation quality fine evaluation method based on a PageRank algorithm. The engineering investigation quality fine evaluation method comprises the followingsteps: determining a mutual influence relationship among various factors; listing all mutual influence relation tables; establishing a mutual influence relation matrix A of each influence factor basedon a PageRank algorithm; normalizing the matrix A; carrying out transposition processing on the normalized matrix; calculating the maximum eigenvalue lambda = 1 of the transition probability matrix by using a mathematical calculation tool Matlab to obtain the value of the eigenvector A; obtaining a weight sorting table of each influence factor; summarizing a drilling quality grade table of each influence factor of drilling; establishing a quality evaluation set of each influence factor; establishing a drilling quality evaluation membership matrix R of each influence factor; establishing a weight vector A; and establishing an evaluation matrix B = A * R, and evaluating the quality grade of the drilled hole by adopting a maximum membership principle. The engineering investigation quality fine evaluation method based on the PageRank algorithm has the advantages of objective evaluation, accurate result, data quantitative support and the like, and the influence of subjective factors is greatly reduced.

Description

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Claims

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Application Information

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Owner SHENZHEN INVESTIGATION & RES INST
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