Selection of Oil Gas Recovery Projects in Oil Depot Based on Grey Matter Element Analysis

2012 ◽  
Vol 610-613 ◽  
pp. 1930-1933 ◽  
Author(s):  
Xiao Gang Zhao ◽  
Yi Zhou ◽  
Jie Zheng ◽  
De Peng Gao ◽  
Lixin Zhao
Keyword(s):  
Grey Matter ◽  
Rapid Development ◽  
Petroleum Industry ◽  
Grey System Theory ◽  
Grey System ◽  
Element Analysis ◽  
Gas Recovery ◽  
Matter Element Analysis ◽  
Oil Gas ◽  
Selection Of

With the rapid development of petroleum industry in China, it is an urgent to recover the oil gas generated in storage and transportation. In order to save the investment and to improve the recycling efficiency, this paper introduces Grey Matter Element Analysis (GMEA) to scientifically and rationally choose form the recovery projects. GMEA is the organic combination of Grey System Theory and Matter Element Theory, and it is applied to the selection of oil gas recovery projects. Though its application in the No.601 oil depot in Chongqing, China, it shows that it is rapid, simple and practical. Therefore, it can find further applications for optimization and decision-making in other relative fields.

Selection of Coal-Bed Methane Well Completion Method Based on Grey System Theory

2013 ◽  
Vol 295-298 ◽  
pp. 3171-3174
Author(s):  
Gang Yang ◽  
Zhi Ming Wang ◽  
Ru Jie Peng ◽  
Tian Chen ◽  
Zhong Xin Ren
Keyword(s):  
Coalbed Methane ◽  
Evaluation Method ◽  
Net Present Value ◽  
Gas Production ◽  
Grey System Theory ◽  
Coal Bed ◽  
Internal Rate Of Return ◽  
Grey System ◽  
Well Completion ◽  
Selection Of

Aim at the diversity of coalbed methane well completion methods, grey system is used to select completion method. Firstly, implement production prediction and economic evaluation. Then evaluate five indexes: cumulative gas production, net present value, dynamic payback period, internal rate of return and risk factor. The most appropriate completion method can be got. When apply this evaluation method to Sihe mining of Qinshui basin, results show that pinnate horizontal well is the most suitable completion method, followed by fractured vertical well.

Research on Deformation Prediction of Foundation Pit Braced by Complicate Soil Nailing

2012 ◽  
Vol 170-173 ◽  
pp. 93-96
Author(s):  
Pan Xie
Keyword(s):  
System Theory ◽  
Finite Element Analysis ◽  
Grey System Theory ◽  
Soil Nailing ◽  
Grey System ◽  
Foundation Pit ◽  
Element Analysis ◽  
Deformation Prediction ◽  
Short Period ◽  
Short Time

Compared with current finite element analysis and monitoring techniques, prediction model of deformation of complicate soil nailing bracing for foundation pit based on grey system theory is a short-time method. It exactly exhibits the “less data” characteristics of grey system theory and is satisfied with the urgent requirement of mastering deformation of foundation pit in a short period. In Addition, through theoretical analysis and engineering practical example, the method is proved feasible.

scholarly journals Research on Identification of Petroliferous Unit Based on Seismic Data Structure Characteristics

2015 ◽  
Vol 9 (1) ◽  
pp. 783-788 ◽  
Author(s):  
Yu Ding ◽  
Haimin Guo ◽  
Moujie Li ◽  
Changrong Lin ◽  
Xuyang Guo
Keyword(s):  
Data Structure ◽  
Seismic Data ◽  
Grey System Theory ◽  
Grey System ◽  
Response Characteristics ◽  
Exploration Risk ◽  
Gas Fields ◽  
Seismic Data Structure ◽  
Oil Gas

The identification and classification of petroliferous unit is the key to the success in the exploration for oil-gas fields with geophysical knowledge that are the main means and ways to reduce exploration risk and improve exploration efficiency. In this paper, it analyzes geophysical response characteristics under conditions of gas, oil and water through the establishment of horizontal layered medium model. Then it extracts and analyzes seismic abnormal characteristics of the data structure combining the method of grey system theory based on the experiment, which are considered as an important reference for further objectively identifying petroliferous unit and the exploration of oil-gas fields in the practical application with comparison and analysis.

Study on the Design Application of Product Materials — An Example of Smartphone Display Stand

2013 ◽  
Vol 746 ◽  
pp. 557-563
Author(s):  
Hong Hai Li ◽  
Jung Chin Liang
Keyword(s):  
Low Cost ◽  
Influence Factors ◽  
Material Design ◽  
Grey System Theory ◽  
Mathematics Model ◽  
Grey System ◽  
Design Requirement ◽  
Quality Design ◽  
Systematic Selection ◽  
Selection Of

The paper aims to study on the production materials and the quality design of smartphone display stand. Through the consensus opinions provided by experts, the study on identification and material attributes, such as strength, rigidity, toughness, use, value, durability, productive and low cost, of design applications of display stands can be achieved. Then the emphasis on choosing each material toward product design requirement can be understood, and the correct material application principles can also be provided. The mathematics model of GM(h,N) in the grey system theory is used to analyze the weighting of influence factors. Next, the order of importance of material factors can be calculated, which is able to promote the selection of smartphone display stand production materials. Finally, it can be a systematic selection structure to resolve the difficult material design application problems. By using the practical math analysis, the results can be the reference to the study on field in the future.

scholarly journals Predicting Renovation Waste Generation Based on Grey System Theory: A Case Study of Shenzhen

2019 ◽  
Vol 11 (16) ◽  
pp. 4326 ◽  
Author(s):  
Zhikun Ding ◽  
Mengjie Shi ◽  
Chen Lu ◽  
Zezhou Wu ◽  
Dan Chong ◽  
...  
Keyword(s):  
System Theory ◽  
Rapid Development ◽  
Grey System Theory ◽  
Sustainable Urban Development ◽  
Vacancy Rate ◽  
Waste Generation ◽  
Grey System ◽  
Management Framework ◽  
Research Findings

With the rapid development of urbanization, more and more people are willing to improve their living conditions, thus substantial attention has been paid to residential renovation in China. As a result, large quantities of renovation waste are generated annually which seriously challenge sustainable urban development. To effectively manage renovation waste, accurate prediction of waste generation rates is a prerequisite. However, in the literature, few attempts have been made for predicting renovation waste as renovation activities vary significantly in different cases. This study offers an approach to estimate the amount of renovation waste based on the vacancy rate and renovation waste generation rates at a city level. The grey system theory was applied to predict the amount of renovation waste in Shenzhen. Results showed that the amount of renovation waste would reach 135,620 tons in 2023. The research findings can provide supportive information to relevant stakeholders for developing a renovation waste management framework.

A grey-based assessment approach to the site selection of a desalination plant in Libya

2018 ◽  
Vol 8 (3) ◽  
pp. 366-379 ◽  
Author(s):  
Ibrahim A. Badi ◽  
Ali M. Abdulshahed ◽  
Ali Shetwan ◽  
Mohamed Ali Ballem
Keyword(s):  
System Theory ◽  
Site Selection ◽  
Grey System Theory ◽  
Grey Model ◽  
Grey System ◽  
Project Schedule ◽  
Content Type ◽  
Desalination Plant ◽  
A Site ◽  
Selection Of

Purpose The purpose of this paper is to propose a site selection method using grey system theory for a desalination plant in Libya. Design/methodology/approach In order to tackle incompleteness and imprecision of human’s judgments, grey numbers were used. This work uses a grey-based approach to represent decision makers’ comparison judgments and extent analysis method to select the best site. Therefore, a real case study of a selection problem of a site selection of desalination plant in Libya was used to illustrate the proposed approach. Findings Site selection in a desalination plant can be one of the most important decisions in planning a desalination project. The decision affects both the project cost and potentially the project schedule. Based on the results of grey model, a clear order of these sites and the degree of preference are obtained. This paper presents a way to improve a site selection by using a grey model, especially in a complex environment like Libya. Originality/value To the best knowledge of the authors, there is no literature for site selection using grey system theory in a desalination plant in Libya. This attempt may well enhance and facilitate the decision-making process of the best site in the country involved in this research.

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