Hybrid Method of Dynamograms Wavelet Analysis for Oil-Production Equipment State Identification

Korovin, Iakov; Khisamutdinov, Maxim

doi:10.4028/www.scientific.net/amr.909.252

Cited by 8 publications

(9 citation statements)

References 67 publications

(145 reference statements)

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“…This method consists of two stages. At the first stage the search for point features in the images [16]. At the second stage search pairs of point correspondences.…”

Section: Algorithm Of Image Superpositionmentioning

confidence: 99%

“…At the second stage search pairs of point correspondences. The main drawback of this method is the complexity of the search point correspondences between pairs of images [15], [16].…”

Section: Algorithm Of Image Superpositionmentioning

confidence: 99%

“…Each image ImageCurrent passes iterative processing. At each iteration, the image processing resolution coarsens and searched point correspondences [16]. Further, the found point correspondences are computed transformation matrices operators.…”

Section: The Algorithm Is Combining a Series Of Images Based On The Search Approaches Point Correspondences And Increasing Resolutionmentioning

confidence: 99%

“…After that, the image aligning operation ImageCurr c ImageRef pixel by pixel. For per-pixel image alignment ImageRef is compared to the 9 th embodiments ImageCurr image (original ImageCurr shifted up / down to 1 pixel shifted left / right by one pixel shifted diagonally 1 pixel), analyzing kor correlation coefficient by the formula [16]…”

Section: The Algorithm Is Combining a Series Of Images Based On The Search Approaches Point Correspondences And Increasing Resolutionmentioning

confidence: 99%

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New Method of Improving the Quality of Single Images in a Video Sequence

Khisamutdinov¹,

Kalyaev²,

Korovin³

2018

dtcse

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In this paper, authors propose a new method of processing a video sequence to produce better quality single images from video frames. We propose new image alignment algorithm based on the approach of searching corresponding point and increasing of resolution. In addition, we develop new algorithm based on adding a plurality of images to obtain a single noiseless image. As the conclusion, we present results of experimental research of the proposed method.

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“…This method consists of two stages. At the first stage the search for point features in the images [16]. At the second stage search pairs of point correspondences.…”

Section: Algorithm Of Image Superpositionmentioning

confidence: 99%

“…At the second stage search pairs of point correspondences. The main drawback of this method is the complexity of the search point correspondences between pairs of images [15], [16].…”

Section: Algorithm Of Image Superpositionmentioning

confidence: 99%

Section: The Algorithm Is Combining a Series Of Images Based On The Search Approaches Point Correspondences And Increasing Resolutionmentioning

confidence: 99%

Section: The Algorithm Is Combining a Series Of Images Based On The Search Approaches Point Correspondences And Increasing Resolutionmentioning

confidence: 99%

See 2 more Smart Citations

New Method of Improving the Quality of Single Images in a Video Sequence

Khisamutdinov¹,

Kalyaev²,

Korovin³

2018

dtcse

View full text Add to dashboard Cite

show abstract

“…Methods represent operations, modeling evolutionary processes on the basis of genetic inheritance and selection mechanisms[6] Complexity of initial model creation4 Neural network approachNon-formalizable or fuzzy tasks with modeling of difficult nonlinear dependences between factors and target indicators, identification of tendencies in the input generalizing dependences, receiving substantial results -are solved at rather small volume of initial information, the subsequent specification of models (retraining) is possible. Allow to solve problems of clustering, classification and image recognition, functions approximation, prediction/forecast, optimization[2][3][4][5] Doesn't demand big computing resources. Possesses a high speed of data processing.…”

mentioning

confidence: 99%

Data Mining Methods Application to the Problem of Handling Corporative Dataset on Heavy Oil Production

Iakov¹,

Maxim²,

Anatoly³

2016

Proceedings of the 2016 International Conference on Intelligent Control and Computer Application

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In this paper, we perform the analysis of Data Mining methods; the application of those is decided to be the most effective in the task of handling information on the production processes, typical to the fields of heavy oil in Western Siberia. The common feature of heavy oil production in Russia is low efficiency of classical math models applied in the industrial software, aimed to reduce the oil production cost. Thus, it demands the industrial usage of novel approaches, where among the most probable ones are the artificial intelligence technologies. The summary of their classification with the advantages' analysis is presented.

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Techniquesof Oil Well Equipment Diagnostics Using Dynamomemter Card

Shmidt

2019

J. Phys.: Conf. Ser.

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Currently, the most widely used equipment to oil extraction is a sucker rod pump. More than 70% of oil wells are equipped with this mechanism. The advantages a sucker rod pump are usage simplicity and high efficiency, but the main drawback is difficulties with diagnostics and repairing. So providing continuous operation of oil well equipment is the key issue in oil well maintain process. Nowadays, the most efficient method of oil well equipment diagnostics is building and an analysis of dynamometer card, namely dependency of load on rod string on polished rod displacement. This diagnostic method is widely used due to simplicity of its implementation, as well as clarity and easy interpretation of the results. If there are any problems in sucker rod pump operation, shape of dynamometer card changes. Moreover each specific fault in operation has unique characteristic shape of dynamometer card. In this article author proposes techniques overview of oil well equipment diagnostic using dynamometer card, the use of which is a big step in “Industry 4.0” model implementation in the oil production field.

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Hybrid Method of Dynamograms Wavelet Analysis for Oil-Production Equipment State Identification

Cited by 8 publications

References 67 publications

New Method of Improving the Quality of Single Images in a Video Sequence

New Method of Improving the Quality of Single Images in a Video Sequence

Data Mining Methods Application to the Problem of Handling Corporative Dataset on Heavy Oil Production

Techniquesof Oil Well Equipment Diagnostics Using Dynamomemter Card

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