Enhancement of accuracy of deep-pumping equipment based on data minning

Vulfin, M.; Tagirova, K. F.

doi:10.3103/s1060992x15010099

Cited by 7 publications

(1 citation statement)

References 1 publication

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“…The most important are the attributes that define the relationship between the entities [2]. When designing data model for operating the technological parameters of intelligent control system of oil wells stations, it is necessary to enter new entity to expand Epicentre model, namely the entity of wattmetrogramm (wattmetrogramm), dynamogramm (dynamogramm), pretreated dynamogramms (prepared_dynamogramm) and classified dynamometer (classified_dynamogramm), which are necessary for solving the problem of diagnostics of equipment condition according to dynamometer data and for control tasks [10,11,[13][14][15][16][17][18][19][20][21].…”

Section: Information Model Development Of a Storage Subsystem Based Omentioning

confidence: 99%

Storage subsystem for intelligent oil wells control system

Tagirova¹,

Ramazanov²,

Vulfin

et al. 2018

Collection of Selected Papers of the IV International Conference on Information Technology and Nanotechnology

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The purpose of developing data warehouse architecture is improving the storage subsystem as part of an intelligent oil well control system. To achieve this goal, it is necessary to develop the structure and information model of the storage subsystem. It is proposed to expand the exploration and exploitation data model of the Epicentre oil fields by adding new entities and a hierarchy of links. Highly effective architectural templates, taking into account the specifics of the research object and the accumulated experience of industry experts, are used. This will reduce the costs for development of the data warehouse architecture and will provide an opportunity for integration with existing information systems of a higher level of control and management-MES, ERP-and with other software and hardware complexes of the current level.

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Section: Information Model Development Of a Storage Subsystem Based Omentioning

confidence: 99%

Storage subsystem for intelligent oil wells control system

Tagirova¹,

Ramazanov²,

Vulfin

et al. 2018

Collection of Selected Papers of the IV International Conference on Information Technology and Nanotechnology

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Automatic Control of the Oil Production Equipment Performance Based on Diagnostic Data

Tagirova

Ramazanov

2020

Lecture Notes in Electrical Engineering

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Analysis of the Click through Rate of Chinese Netizens through Social Software based on DeepFM Algorithm

Zhang

et al. 2019

J. Phys.: Conf. Ser.

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Advertising as an important means of marketing, plays an important role in the promotion of commercial services, but its profit efficiency has not been optimistic. How to reduce the push cost and improve the accuracy rate of advertising is the algorithm problem of various enterprises. Chinese netizens have a large base and a large proportion use social software. It is a novel idea to analyze the click-through rate of Chinese netizens’advertisements through the data provided by social software. Based on the idea of lookalike crowd expansion, this paper uses DeepFM algorithm and designs the corresponding experimental process to analyze and predict the clicks of Chinese netizens through social software.

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Enhancement of accuracy of deep-pumping equipment based on data minning

Cited by 7 publications

References 1 publication

Storage subsystem for intelligent oil wells control system

Storage subsystem for intelligent oil wells control system

Automatic Control of the Oil Production Equipment Performance Based on Diagnostic Data

Analysis of the Click through Rate of Chinese Netizens through Social Software based on DeepFM Algorithm

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