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Oil pumping condition identification method based on indicator diagram content retrieval and fusion reasoning

A technology of working condition identification and dynamometer diagram, which is applied in the fields of oil well production and oil pumping, can solve problems such as no public reports, and achieve the effect of avoiding the decline of the recognition rate.

Pending Publication Date: 2022-06-03
南京富岛油气智控科技有限公司
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AI Technical Summary

Problems solved by technology

Currently, neural network and machine learning methods are commonly used in the field of oil pumping condition identification, but there are no public reports on the application of content-based image retrieval technology in the field of oil pumping condition identification

Method used

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  • Oil pumping condition identification method based on indicator diagram content retrieval and fusion reasoning
  • Oil pumping condition identification method based on indicator diagram content retrieval and fusion reasoning
  • Oil pumping condition identification method based on indicator diagram content retrieval and fusion reasoning

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example 1

[0156] Example 1: The first picture is working condition A 1 , the similarity between the difficult image to be tested and the first image is P 1 (A 1 ), then the basic probability assignment (BPA) of the evidence for the ith matching picture is expressed as the first picture for case A 1 The probability assignment m of 1 (A 1 ) is P 1 (A 1 ), assign the probability of other working conditions to 0, denoted as The form is shown in Table 2.

[0157] Table 2 Tabular form

[0158]

example 2

[0159] Example 2: There are five pictures after the secondary screening, the first picture is the same as the working condition A 1 The similarity is P 1 (A 1 ), the second picture is with case A 2 The similarity is P 2 (A 2 ), the third picture and condition A 1 The similarity is P 3 (A 1 ), the fourth picture and condition A 2 The similarity is P 4 (A 2 ), the fifth picture and condition A 3 The similarity is P 5 (A 3 ). Then the basic probability assignment (BPA) of the five matching graph evidences are expressed as

[0160]

[0161]

[0162] The form is shown in Table 3.

[0163] table 3 the form of

[0164]

[0165] (4-8-3) Fusion of n pieces of evidence

[0166] Collect and fuse the Basic Probability Assignment (BPA) of n graphs to obtain the comprehensive probability assignment value m(A) of each working condition after fusion. j ), and aggregated into a set Q after the calculation. The specific fusion calculation method is:

[0167]

[...

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Abstract

The invention discloses an oil pumping condition identification method based on indicator diagram content retrieval and fusion reasoning. The method comprises the following steps: (1) indicator diagram acquisition, labeling classification and training; (2) performing feature extraction on each image in the sample set by using the trained Resnet50, and storing a feature vector; (3) acquiring load and displacement data acquired by a pumping well indicator to be detected, and drawing an indicator diagram; (4) retrieving a recommended matching graph based on the content of the indicator diagram and performing condition fusion reasoning judgment; and (5) sending a working condition judgment result to an upper position for display. According to the method, the CBIR technology, the matching algorithm and the fusion reasoning means are used, the limitation of a traditional recognition method is broken through, starting from engineering practice, one working condition can be accurately recognized when only one working condition exists, meanwhile, at most three faults occurring at the same time can be comprehensively judged, and the method has higher practical application value.

Description

technical field [0001] The invention relates to the fields of oil production and oil pumping in oil wells, in particular to an oil pumping condition identification method based on dynamometer content retrieval and fusion reasoning. Background technique [0002] The oil pumping dynamometer chart is the main means to understand the working conditions of the pipes, rods and pumps in the well. Analysis and interpretation of the dynamometer diagram is a main means to directly understand the working condition of the deep well pump. All abnormal phenomena in the operation of the deep well pump can be reflected more intuitively on the dynamometer diagram. [0003] The pumping unit is the core equipment in the oil extraction process. It is low in efficiency to judge the working condition of the pumping unit and operate the pumping unit simply by manpower and cannot meet the needs of the industry development. [0004] Under the background of the current artificial intelligence trend,...

Claims

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Application Information

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IPC IPC(8): G06V10/74G06V10/80G06V10/764G06V10/82G06K9/62G06N3/08
CPCG06N3/08G06F18/22G06F18/24G06F18/25
Inventor 叶彦斐沈濮均刘帅涂娟姜磊金玉书
Owner 南京富岛油气智控科技有限公司
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