scholarly journals Evaluation of Factors Influencing Energy Consumption in Water Injection System Based on Entropy Weight-Grey Correlation Method

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Ruan Yan ◽  
Wu Tong ◽  
Chen Jiaona ◽  
Hassan A. Alteraz ◽  
Adel Ali Yassin Alzyoud
Keyword(s):  
Energy Consumption ◽  
Energy Loss ◽  
Influencing Factors ◽  
Water Injection ◽  
Correlation Method ◽  
Indicator System ◽  
Injection System ◽  
Entropy Weight ◽  
Grey Correlation ◽  
Oilfield Water

Abstract In order to determine the importance of influencing factors of energy consumption in oilfield water injection systems, the distribution of energy loss in the water injection system was analyzed, the factors affecting the energy consumption of the water injection system were determined, and an evaluation index system for the energy consumption of the water injection system was established. This indicator system covers all links and all energy loss nodes of the energy loss of the water injection system, thereby an evaluation model for influencing factors of energy consumption in water injection system based on entropy weight - grey correlation method was built. Use the entropy weight method to get the ranking of the importance of energy consumption indicators; use the gray correlation method to determine the correlation between each water injection system and energy consumption factors. The application results show that the entropy weight-grey correlation method proposed in this paper can effectively obtain the importance of the energy consumption factors of the oilfield water injection system, and provide scientific guidance for the daily management and targeted optimization of the water injection system.

scholarly journals Research and practice on optimal design method of the oilfield water injection system pipeline network

2021 ◽  
Vol 2076 (1) ◽  
pp. 012003
Author(s):  
Fengjiao Qu ◽  
Tingting Liu ◽  
Zhiming Zhang ◽  
Weiyi Xie ◽  
Yansong Wang ◽  
...  
Keyword(s):  
Mathematical Model ◽  
Energy Loss ◽  
Partial Pressure ◽  
Optimization Design ◽  
Design Method ◽  
Water Injection ◽  
Injection System ◽  
Pipe Network ◽  
Pressure Water ◽  
Oilfield Water

Abstract The efficiency of oilfield water injection system is generally low and energy consumption is high. With the deepening of oilfield exploitation, the water cut of the oilfield is increasing, the power consumption of the water injection system is increasing year by year, the oilfield exploitation cost is increasing, and energy conservation and consumption reduction are very important. In order to improve oilfield water injection efficiency and reduce water injection energy loss, this paper puts forward the pipe network optimization design method of partial pressure water injection, establishes the mathematical model of partial pressure water injection pipe network and throttling loss calculation model, compiles the calculation software of partial pressure water injection mathematical model, optimizes the partial pressure interval, calculates the partial pressure points, effectively reduces the energy loss of water injection system and improves the efficiency of water injection system.

The Key Technology Research of the Water Injection System Energy Saving for Super Low Permeability Reservoir in Changqing Oil Field

2012 ◽  
Vol 524-527 ◽  
pp. 1217-1222 ◽  
Author(s):  
Zhi Qiang Huang ◽  
Zhen Chen ◽  
Gang Zheng ◽  
Jian Qiang Xue ◽  
Xue Yuan Li
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Large Scale ◽  
Water Injection ◽  
High Energy ◽  
Economic Benefits ◽  
Oil Field ◽  
Injection System ◽  
Low Permeability ◽  
Load Rate

With the characteristics of low permeability, pressure and abundance, it's extremely hard to exploit the super low permeability reservoirs in ChangQing oil field. For this reason, the water injection recovery technique has been widely used. Analysis showed that a serious problem of high energy consumption exist in the water injection system, the power consumption of which accounts for about 44%. And the energy cost of pump units reach up to 43%, it's the highest energy consumption link in the system. In this paper the load rate classification method (LRCM) is firstly adopted to statistical analyze water injection stations, which are divided into the owing and over load rate stations. As a result, the owing load rate stations accounts for 83.8%, with a serious phenomenon of the Big Horse Pull A Small Carriage, causing the large-scale backflow in the station, and the efficiency is low, the energy consumption is on the high side. Aimed at water injection stations with different load rate, the methods of reasonable shutting down the pumps, pump replacement, optimizing the transmission ratio and piston size, as well as the speed control technology have been used to make the outlet flow and actual demand reasonable matching. The test result shows that the energy saving technology is well targeted, simple, practical and low cost. The pump units’ efficiency improves obviously, the consumption reduces by 10%, which greatly improve the oilfield economic benefits.

Index and Evaluation of Radar Anti-Jamming Ability Based on Improved Grey Correlation

2014 ◽  
Vol 926-930 ◽  
pp. 3629-3632
Author(s):  
Ya Nan Li ◽  
Zhuang Zhi Han
Keyword(s):  
Evaluation System ◽  
Correlation Method ◽  
Principal Component ◽  
Real Data ◽  
Indicator System ◽  
Data Sets ◽  
Grey Correlation ◽  
Grey Correlation Analysis ◽  
Correlation Analysis Method ◽  
Associates Degree

. Greater demands are imposed on the radar anti-jamming ability by the modern warfare. How to objectively test this ability has been an important problem demanding p romp t solution by both the radar developer and the user. This paper presents a jamming evaluation system based on improved grey correlation method. First it calculates the correlation of each index of the system by using the Delphi method for processing the expert scoring, which is taken as a result of the importance of each index score, then it associates degree and importance of each index, and filter out the initial indicators; Finally, through the analysis of the correlation between the primary indicators, an effective indicator system is given. By the real data sets, the experimental results show that the improved grey correlation analysis method is superior to principal component analysis.

Research on Core Competence of Construction Consultant Enterprises Based on the Grey Correlation Method

2014 ◽  
Vol 501-504 ◽  
pp. 2686-2690
Author(s):  
Yang Fu ◽  
Yan Kui Bi ◽  
Shu Jing Wang
Keyword(s):  
Core Competence ◽  
Correlation Method ◽  
Evaluation Index System ◽  
Entropy Weight ◽  
Evaluation Indexes ◽  
Grey Correlation ◽  
The Core ◽  
Entropy Weight Method ◽  
Weight Method ◽  
The Core Competence

Abstract.Expounding the connotation of the core competence of construction consultant enterprises and establishing the evaluation index system about core competence of construction consultant enterprises from five aspects which are the management,technology,economic benefit,human resources and market development.Using entropy weight method to determine the evaluation indexes weight, then applying grey correlation method to evaluate and compare the core competence by four enterprises.

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