A cluster analysis-based identification method for phase state critical point of oil-gas-water three-phase flow

An identification method and cluster analysis technology, applied in the field of petroleum engineering, can solve problems affecting the measurement results of oil-gas-water three-phase flow

Active Publication Date: 2020-10-16
华运隆腾机械制造有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The most common clustering analysis algorithm is the k-means algorithm, which is simple in principle and has the advantages of fast calculation speed. However, if there are abnormal data or noisy data, the abnormal data or noisy data will have a great impact on the processing of the overall data. Applying it to the detection of the critical point of the phase state of the oil-gas-water three-phase flow will highlight the defects of the k-means algorithm and affect the results of the flow measurement of each phase of the oil-gas-water three-phase flow

Method used

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  • A cluster analysis-based identification method for phase state critical point of oil-gas-water three-phase flow
  • A cluster analysis-based identification method for phase state critical point of oil-gas-water three-phase flow
  • A cluster analysis-based identification method for phase state critical point of oil-gas-water three-phase flow

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specific Embodiment approach 1

[0062] A method for identifying a phase state critical point of oil-gas-water three-phase flow based on cluster analysis, the identification method comprising the following steps:

[0063] Step 1: Select 3 data from all current measurement data values ​​of oil-gas-water three-phase flow, define it as the initial center M, and divide all data into 3 categories with M as the center;

[0064] Step 2: According to the Euclidean distance, classify other data except the initial center M into the class represented by the nearest initial center point to itself, and calculate the difference of the whole set of data in this classification case sum of absolute values ​​E pre ;

[0065] Step 3: Extract the data of the center position in the two types of data in step 2 as the new center M new , and reclassified to calculate the sum of the absolute values ​​of the corresponding differences E new , using the principle that the total cost of exchange TP is negative, replace the initial cen...

specific Embodiment approach 2

[0068] This embodiment is a further description of the first embodiment. In the first step, the current measurement data of the oil-gas-water three-phase flow is represented by a set X, and the set X is expressed as:

[0069] X={a 1 , a 2 ...,a i ,...,a j ,...,a s}

[0070] In the formula, i and j both represent the serial number of the current data value, a i ,a j Obtain the converted i-th and j-th current data values ​​for the multi-phase flow detected by the differential pressure sensor respectively, and s is the number of all current measurement data;

[0071] Because the data obtained by the detection of the differential pressure sensor for each phase of the oil-gas-water three-phase flow will change, therefore, the set X is classified and integrated, and the set X is expressed as:

[0072] X={A 1 ,A 2 ,A 3}

[0073] where A 1 ,A 2 ,A 3 Three sets of data sets are obtained for the differential pressure sensor detecting oil, water, and gas phases respectively...

specific Embodiment approach 3

[0075] This embodiment is a further description of Embodiment 2. The method of selecting 3 initial centers described in step 1 is:

[0076] First calculate the distance D between all current data values ​​according to the Euclidean distance:

[0077]

[0078] In the formula Obtain the converted current data value a for the differential pressure sensor to detect multiphase flow i and current data value a j the distance between

[0079] Then calculate the current data value a i and current data value a j (j≠i) distance accounted for current data value a j The sum V of distance ratios to all data:

[0080]

[0081] In the formula, l represents the serial number of the current data value. For the convenience of subsequent description, the matrix V is rewritten, and the matrix V is expressed as:

[0082]

[0083] In the formula, u represents the number of elements in the matrix V, arrange all the elements in the matrix V in ascending order, and the arranged matrix ...

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Abstract

The invention belongs to the technical field of petroleum engineering, and in particular relates to a method for identifying the critical point of the oil-gas-water three-phase flow phase state based on cluster analysis; three data are selected from current measurement data values ​​and defined as the initial center M, with M as the center Divided into 3 categories; classify the data other than M into the class represented by an initial center point closest to itself, and calculate the sum of the absolute values ​​of the differences of the entire set of data E pre ; Extract the data of the center position in the two types of data as the new center M new , reclassify and calculate the sum of the absolute values ​​of the corresponding differences E new , using the principle that the total cost of exchange is negative to replace M, and the updated initial center is named M proc ; Repeat the above two steps until the updated initial center M proc No longer changes or the number of iterations k reaches the maximum number of iterations k max . Improve the influence of critical point identification on the measurement accuracy of oil-gas-water three-phase flow separation phase flow measurement, and improve the measurement accuracy of oil-gas-water three-phase flow.

Description

Technical field: [0001] The invention belongs to the technical field of petroleum engineering, and in particular relates to a method for identifying a phase state critical point of oil-gas-water three-phase flow based on k-medoids cluster analysis. Background technique: [0002] The flow measurement of each phase of oil-gas-water three-phase flow is an important parameter for evaluating oil well production in oilfields. The traditional multiphase flow measurement method is based on the single-phase flow measurement method, and there are many defects and disadvantages, which make the traditional multiphase flow measurement method low in accuracy and cannot provide effective support for subsequent oilfield production work. Separate measurement of oil-gas-water three-phase flow. This method separates oil-gas-water three-phase flow from oil-water and oil-gas, and uses the volumetric method to measure the flow of each phase. The operation is safe and reliable and the cost is low....

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F30/20G06F16/28G01F5/00
CPCG01F5/005G06F16/285
Inventor 韩连福王海霞付长凤刘兴斌邵丽艳杨学梅
Owner 华运隆腾机械制造有限公司
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