Energy Saving Measures of Oil and Gas Gathering System in Changqing Low Permeable Oilfield

2012 ◽  
Vol 512-515 ◽  
pp. 1137-1142
Author(s):  
Zhi Qiang Huang ◽  
Xue Yuan Li ◽  
Gang Zheng ◽  
Jian Qiang Xue ◽  
Zhen Chen

Because of its property of low permeability, low pressure and low production, Changqing low permeable oilfield decreases rapidly in the initial potential stage and has low individual-well producing rate, which give rise to the overestimated oilfield production and large-scale ground construction project of gathering system. Eventually, the problem of “big Marathi car” in oil gathering system generated excessive energy consumption. It is multi-purpose station, pumping station and block station that turn out to be the main energy consumption point, which consume over 90% of system electric energy consumption. Besides, energy like natural gas is dissipated so severely that the utilization ratio of associated gas is less than 30%. This is obtained by analyzing energy distribution of system. For the seriously power-wasting problems in gathering system, energy saving technologies of small power pump replacing large power pump, intermittent pipelining oil by liquid level automatically controlled and double speed adjustment based on frequency control apply to the effective utilization of electric energy, which using oil pumps load rate as energy evaluation criterion. Applying technologies of helical down hole oil-gas separation and oil-gas airtight gathering to recover associated gas effectively gives conspicuous energy saving effect.

2012 ◽  
Vol 524-527 ◽  
pp. 1217-1222 ◽  
Author(s):  
Zhi Qiang Huang ◽  
Zhen Chen ◽  
Gang Zheng ◽  
Jian Qiang Xue ◽  
Xue Yuan Li

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.


10.14311/1622 ◽  
2012 ◽  
Vol 52 (5) ◽  
Author(s):  
Juraj Beniak ◽  
Juraj Ondruška ◽  
Viliam Čačko

The shredding process has not been sufficiently investigated for the design of better, energy and material saving shredding machines. In connection with present-day concern about the environment, ecology, energy saving, recycling, and finding new sources of energy, we need to look at the design of shredding machinery, the efficiency of the machines that we using, and ways of improving them to save electric energy for their operation. This paper deals with sizing and designing shredding machines from the point of view of energy consumption and optimization for specific types of processed material.


2014 ◽  
Vol 986-987 ◽  
pp. 1383-1386
Author(s):  
Zhen Xing Yang ◽  
He Guo ◽  
Yu Long Yu ◽  
Yu Xin Wang

Cloud computing is a new emerging paradigm which delivers an infrastructure, platform and software as services in a pay-as-you-go model. However, with the development of cloud computing, the large-scale data centers consume huge amounts of electrical energy resulting in high operational costs and environment problem. Nevertheless, existing energy-saving algorithms based on live migration don’t consider the migration energy consumption, and most of which are designed for homogeneous cloud environment. In this paper, we take the first step to model energy consumption in heterogeneous cloud environment with migration energy consumption. Based on this energy model, we design energy-saving Best fit decreasing (ESBFD) algorithm and energy-saving first fit decreasing (ESFFD) algorithm. We further provide results of several experiments using traces from PlanetLab in CloudSim. The experiments show that the proposed algorithms can effectively reduce the energy consumption of data center in the heterogeneous cloud environment compared to existing algorithms like NEA, DVFS, ST (Single Threshold) and DT (Double Threshold).


In connection with the large-scale development of high-rise building projects recently in Russia and abroad and their significant energy consumption, one of the main principles in designing is the use of effective energy-saving technologies. Also, important aspects are reducing energy consumption and neutralizing the environmental impact of tall buildings. The most promising areas in the field of integration of solar modules (planar and concentrating) in the construction of buildings are development of BIPV technologies (roofing, film, facade materials), the integration of solar energy concentrators that do not require biaxial tracking (medium and low concentrations) on the facades and roofs of buildings (parabolic concentrators, lenses, and Fresnel mirrors), integration of highly concentrated modules on the roofs of buildings.


2019 ◽  
Vol 294 ◽  
pp. 01001 ◽  
Author(s):  
Serhii Arpul ◽  
Viktor Artemchuk ◽  
Mykola Babyak ◽  
Viacheslav Vasilyev ◽  
Hennadii Hetman ◽  
...  

The paper considers the issues of reducing the energy intensity of transportation at opencast mining enterprises, the relevance of which has now increased due to the rise in the cost of fuel and energy resources. It presents the study results concerning the cost structure of the electricity consumed by electric mine transport, which form the basis for the development of technical and operational measures to reduce the energy intensity of the transportation process. It is shown that the work to reduce the electricity consumption for mined rock transportation should be aimed at: Reduction of losses in the power circuits of the traction rolling stock due to the use of more advanced electric rolling stock and regulation of the degree of utilization of the installed traction power; Introduction of new contact materials for electrical circuits with the lowest possible resistivity, including for current collector plates; Introduction of measures to reduce energy consumption for power supply of auxiliary circuits; Development and implementation of rational train control techniques. The introduction of energy-saving measures should include the development and application of effective methods for calculating individual norms of energy consumption and incentives for energy saving of the employees involved in the organization of the transportation process.


2013 ◽  
Vol 330 ◽  
pp. 158-162 ◽  
Author(s):  
Jin Soo Han ◽  
Youn Kwae Jeong ◽  
Il Woo Lee

Electric energy consumption shares a great portion of commercial building energy. Electric energy saving is essential to reduce total energy consumption in commercial buildings. To draw energy saving methods, it is necessary to monitor real energy consumption patterns and analyze the results. We monitor the lighting and non-lighting energy consumption of eleven zones in a real working office building every fifteen minutes during eleven months. We observe and analyze the monthly and daily energy consumption patterns of all zones and draw several feasible energy saving methods. Moreover, the lighting and occupancy are monitored simultaneously in detail to investigate the unnecessary energy consumption. It shows the possibility of a great amount of energy saving. Because we analyze the energy consumption patterns in all zones, the drawn energy saving methods are applicable to the current building with some added infrastructure and expandable to other similar office buildings. Our result is expected to contribute to reducing the energy consumption in buildings.


2012 ◽  
Vol 605-607 ◽  
pp. 566-569
Author(s):  
Rong Mao Zheng

In order to layout convenient the wireless sensor node generally used battery for power supply, the node require working up to several months or even years but battery replacement was difficult or impossible. In this paper, research does not affect the function of WSN how to save the node energy consumption, which can work more time in large-scale collection, processing and communication of complex environmental data. Results show that the energy-saving technologies can be to reduce the energy consumption of 55.6%, which can greatly extend the working life of the wireless sensor node battery.


2013 ◽  
Vol 712-715 ◽  
pp. 1614-1618
Author(s):  
Jia Jia Ni ◽  
Li Tao ◽  
Yi Jun Wang ◽  
Jin Lei Wu

Through to investigation on present situation of the Changzhou Changrui Hotel air conditioning system energy consumption, by analysis the energy consumption, the power consumption of hotel central air-conditioning system charge 58% of the total electric, accounted for a large proportion. So we should take the necessary measures to reduce the expenses of air conditioning system energy consumption. According to the analysis of data on the survey, we put forward some particular energy-saving measures of central air-conditioning system of the hotel, including strengthening the building envelope insulation, energy saving technology of doors and windows, measures of roof energy saving, setting reasonable indoor temperature, adopting frequency control air-conditioning, reuse waste heat of the central air-conditioning, using the condensation water of central air conditioning to make-up water and reducing temperature of cooling tower , and drying the fresh air independently.


RSC Advances ◽  
2014 ◽  
Vol 4 (32) ◽  
pp. 16512-16516 ◽  
Author(s):  
Jing Tang ◽  
Hui-Min Meng ◽  
Liang Liang Huang

The electric energy consumption of the electrolysis with Pt/C GDE can save 65.6–61.06% compared to traditional cathodes at 80 A m−2.


2014 ◽  
Vol 986-987 ◽  
pp. 1236-1239
Author(s):  
Yun Long Zhang

In energy-saving control process of large-scale-scale intelligent electromechanical device, it is need to consume non-essential energy. To reduce energy consumption, energy-saving design method is proposed based on adaptive linear genetic algorithms. According to theory of adaptive particle swarm optimization, optimal particle is searched in the global domain, which provides basis for energy-saving control of large-scale-scale intelligent electromechanical device. According to adaptive linear genetic theory, energy-saving control model of large-scale intelligent electromechanical device is built to complete energy-saving control. Experimental results show that algorithm can effectively reduce energy consumption and obtain satisfactory results.


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