Reversing Centrifugal Pumps as Alternative to Conventional Turbines for Micro Hydropower: A Review

Mdee, Ombeni John; Kihedu, Joseph; Kimambo, C. Z. M.; Nielsen, Torbjørn Kristian

doi:10.2316/p.2016.839-024

Cited by 1 publication

(1 citation statement)

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“…In the conditions of implementing measures for rational operation ECP units can ensure high effi ciency and safety at various stages of production [3]. In this regard, the problem of developing approaches and methods to improve the operational effi ciency and safety of ECP units seems relevant with regard to the increasing requirements for effi ciency, environmental friendliness and manageability of oil and gas projects in general [3,4,5,6,7]. The introduction and use of advanced production planning and control systems at all levels: from strategic to tactical and operational is one of the main directions to improve the effi ciency and safety of oil and gas equip-ment nowadays.…”

Section: Introductionmentioning

confidence: 99%

Development of models for recognition of technological situations in the operation of electric centrifugal pumps for oil production

Vladimir¹,

Vadim²,

Eduard³

et al. 2019

J Appl Eng Science

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The article deals with the problem of constructing models for automation of the technological situations recognition procedure during operation of oil wells. An approach was suggested to recognize technological situations associated with the operation of electrical centrifugal pumping units in oil production. The paper describes the methods for constructing models intended to recognize technological situations characterizing different types of failures of such electric centrifugal pumping (ECP) units. The models based on artifi cial neural networks, classifi cation trees and support vector machines were considered as separate methods for constructing models for recognizing the technical state of ECP units in oil production. The paper presents the results of studying such methods in the tasks of assessing the technical state of several types of oil and gas production equipment. It is proposed to use sets of models enabling to integrate solutions of individual recognizers to improve situation recognition reliability. In the course of the research, tests were carried out on real operational data of ECP units. The research results showed that the use of such complex models will ensure a suffi ciently high accuracy of recognition of technological situations. The proposed complex models provide higher stability of the results, which is confi rmed by the results of statistical analysis of solutions obtained in the course of numerical experiments. Thus, it is shown that the proposed complex models for recognition of technological situations are an effective option to be used in object control systems during operation of oil producing wells.

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Section: Introductionmentioning

confidence: 99%