scholarly journals Research on Quantitative Evaluation Methods and Influencing Factors of Natural Gas Reservoir Development

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Haitao Li ◽  
Guo Yu ◽  
Yanru Chen ◽  
Dongming Zhang
Keyword(s):  
Numerical Simulation ◽  
Influencing Factors ◽  
Fuzzy Optimization ◽  
Scientific Basis ◽  
Economic Benefits ◽  
Gas Reservoirs ◽  
Gas Reservoir ◽  
Factors Affecting ◽  
Reservoir Evaluation ◽  
Reservoir Development

Current methods of evaluating the effects of gas reservoir exploitation primarily focus on evaluating production statistics of a well or field, and they often have a certain subjectivity. In order to further analyze key indexes that affect a gas reservoir during production, this paper considered the characteristic parameters of different types of gas reservoirs and established an index system of evaluating a gas reservoir “exploitation effect” from the three aspects of gas reservoir characteristics, rock characteristics, and economic benefits. There are numerous factors affecting the exploitation effect of a gas reservoir. The relationships between different factors are complicated, and the evaluation result of each factor can also be vague. A fuzzy optimization theoretical model for gas reservoir evaluation and optimization was established on the basis of a quantitative study on the evaluation parameters in fuzzy mathematics. In order to clearly understand the influence of each factor on the gas reservoir exploitation effect, numerical simulation was used to perform a multifactor numerical simulation study of the quantitative sensitivity to determine the sequence of different influencing factors in terms of influencing the gas reservoir exploitation effect. This study provides a quantitative scientific basis for the evaluation of gas reservoir exploitation effect.

Variation of PAHs, PCBs and OCPs Contents and Influencing Factors in Sludge Landfill Process

2014 ◽  
Vol 522-524 ◽  
pp. 797-805 ◽  
Author(s):  
Ying Zhu ◽  
Miao Zhang ◽  
Zhe Han ◽  
Su Ping Feng
Keyword(s):  
Waste Water ◽  
Influencing Factors ◽  
Scientific Basis ◽  
Factors Affecting ◽  
Factors Influencing ◽  
Plant Chemical ◽  
Benzene Rings ◽  
Pahs Concentration ◽  
Main Factors ◽  
Coking Plant

In order to know about the variation of PAHs, PCBs and OCPs of sludge in landfill, discover the factors influencing the contents of PAHs, PCBs, OCPs and provide the scientific basis for the agriculture reuse of aged-sludge, the variation of PAHs, PCBs, OCPs contents and influencing factors in sludge landfill were studied in this paper. PAHs concentration of different landfill periods rang from 6.645 to 10.008 mg·kg-1 and show an increasing tendency with the increase of landfill duration. PAHs are mainly composed of more than four benzene-based compounds, and less than three benzene rings compounds contents of PAHs are relatively low. PCBs concentrations rang from 15.655 to 25.569 μg·kg-1 and present a decreasing trend with the landfill time, which far less than the standard of 0.2 mg·kg-1. PCBs at the beginning of the landfill are mainly composed of the 3-Cl and 5-Cl compounds. In the late of the landfill, 2-Cl compounds increase significantly. The range of OCPs concentration is 1.78~2.37 μg·kg-1. The main factors affecting the PAHs, PCBs and OCPs contents are microbial degradation and transformation. Analysis of the pollutants sources indicate that PAHs in sludge are mainly derived from the waste water of refinery, coking plant, gasworks, smelt plant and pitch plant. Chemical industry, timber process and electricity industry are the main sources of PCBs and OCPs in sludge.

scholarly journals Analysis of Gas Flow Behavior for Highly Deviated Wells in Naturally Fractured-Vuggy Carbonate Gas Reservoirs

2019 ◽  
Vol 2019 ◽  
pp. 1-13 ◽  
Author(s):  
Kongjie Wang ◽  
Lian Wang ◽  
Caspar Daniel Adenutsi ◽  
Zhiping Li ◽  
Sen Yang ◽  
...  
Keyword(s):  
High Efficiency ◽  
Flow Behavior ◽  
Production Performance ◽  
Gas Reservoirs ◽  
Gas Reservoir ◽  
Reservoir Development ◽  
Proposed Model ◽  
Naturally Fractured ◽  
Production Behavior ◽  
Deviated Wells

To improve the carbonate gas reservoir development and production, highly deviated wells (HDW) are widely used in the field. Production decline analysis of HDW is crucial for long-term gas reservoir development. However, it is a new challenge to incorporate the complex pore structure of naturally fractured-vuggy carbonate gas reservoirs and evaluate the production performance of HDW. This paper presents a semianalytical model to analyze the pressure and production behavior of HDW in naturally fractured-vuggy carbonate gas reservoirs, which consist of fractures, vugs, and matrix. The primary flow occurs only through the fracture and the outer boundary is closed. Introducing pseudopressure and pseudotime, the Laplace transformation, Fourier transformation, and its inverse and Stehfest numerical inversion were employed to establish a point source and line source solutions. Furthermore, the validity of the proposed model was verified by comparing a field data from the Arum River Basin in Turkmenistan. Finally, the effects of major parameters on the production decline curves were analyzed by using the proposed model and it was found that they had influences at different stages of gas production history and the sensitivity intensity of each parameter was different. With its high efficiency and simplicity, this semianalytical model will serve as a useful tool to evaluate the well production behavior for the naturally fractured-vuggy carbonate gas reservoirs.

scholarly journals Identification of Factors Affecting Pedestrian Satisfaction toward Land Use and Street Type

2021 ◽  
Vol 13 (19) ◽  
pp. 10725
Author(s):  
Soongbong Lee ◽  
Myungjoo Han ◽  
Kyoungah Rhee ◽  
Bumjoon Bae
Keyword(s):  
Land Use ◽  
Influencing Factors ◽  
Green Space ◽  
Common Factor ◽  
Economic Benefits ◽  
Residential Areas ◽  
Factors Affecting ◽  
Size Population ◽  
Pedestrian Space ◽  
The City

Walking is an essential sustainable mode of transportation. Encouraging to increase walking trips can bring various social and economic benefits to our society. Since the policy paradigm has been shifting from car-oriented to pedestrian-oriented, interest in securing pedestrian rights and improving walking environments is increasing significantly. This study aims to examine factors affecting pedestrian satisfaction according to land use and street type. A pedestrian satisfaction survey was conducted in an industrial city with a mid-size population in the city of Changwon, South Korea. Based on the survey data from 500 respondents, factors affecting pedestrian satisfaction were analyzed by land use (commercial or residential areas) and street type (non-separated or separated sidewalks). The analysis results, using binary and ordered logit models, showed that the less illegal parking, the more pedestrian space, pedestrian guidance facility, and green space, the higher the pedestrian satisfaction. Factors positively affecting the satisfaction of pedestrian paths according to land use were physical environmental variables, such as the separated sidewalk variable. In commercial areas, pedestrian guidance facilities and street cleanliness were included as major influencing factors, implying differences in land use influencing factors. A common factor affecting the satisfaction of separated or non-separated sidewalk cases was also identified as the sufficiency of walking space. Therefore, the most urgent policy measure for improving pedestrian satisfaction for the city was to install a sidewalk or expand the pedestrian space. In the pedestrian-vehicle separation models, green space and cleanliness were included as significant variables, and in the non-separated models, variables of pedestrian guidance facilities and sidewalk conditions were included.

scholarly journals Research on the Spatial Distribution Pattern and Influencing Factors of China’s Antipoverty (Pro-Poor Tourism) on GIS

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Qing Yang ◽  
Fengtai Zhang ◽  
Youzhi An ◽  
Changcheng Sun ◽  
Jianfeng Wu ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Influencing Factors ◽  
Poverty Alleviation ◽  
Scientific Basis ◽  
Policy Formulation ◽  
Annual Rainfall ◽  
Factors Affecting ◽  
Theoretical Support ◽  
Spatial Distribution Characteristics ◽  
Tourism Resources

Eliminating poverty is the common mission of all mankind, and it is also an important task faced by many countries. Pro-poor tourism villages are an active attempt by China to use rural tourism to escape poverty. This paper aims to provide theoretical support for consolidating the results of poverty alleviation and achieving comprehensive poverty alleviation and to provide a scientific basis for policy formulation by using GIS spatial analysis to study the spatial distribution characteristics and influencing factors of 22,651 pro-poor tourism villages in China. The findings revealed that the spatial distribution of pro-poor tourism villages is roughly divided by the Hu line. Pro-poor tourism villages show an uneven agglomeration pattern and present a spatial pattern of dense southeast and sparse northwest with six high-density core areas, among which some cities in the southwest are H-H agglomeration areas. Specifically, topography, annual rainfall, endowment of tourism resources, location transportation, and policy orientation are important factors affecting the spatial distribution of pro-poor tourism villages.

scholarly journals Aphid–Plant–Phytovirus Pathosystems: Influencing Factors from Vector Behaviour to Virus Spread

Agriculture ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 502
Author(s):  
Junior Corneille Fingu-Mabola ◽  
Frédéric Francis
Keyword(s):  
Influencing Factors ◽  
Virus Transmission ◽  
Physical Factors ◽  
Factors Affecting ◽  
Vector Borne Diseases ◽  
Vector Behaviour ◽  
Crop Fields ◽  
Host Seeking ◽  
The Impact ◽  
Vector Efficiency

Aphids are responsible for the spread of more than half of the known phytovirus species. Virus transmission within the plant–aphid–phytovirus pathosystem depends on vector mobility which allows the aphid to reach its host plant and on vector efficiency in terms of ability to transmit phytoviruses. However, several other factors can influence the phytoviruses transmission process and have significant epidemiological consequences. In this review, we aimed to analyse the aphid behaviours and influencing factors affecting phytovirus spread. We discussed the impact of vector host-seeking and dispersal behaviours mostly involved in aphid-born phytovirus spread but also the effect of feeding behaviours and life history traits involved in plant–aphid–phytovirus relationships on vector performances. We also noted that these behaviours are influenced by factors inherent to the interactions between pathosystem components (mode of transmission of phytoviruses, vector efficiency, plant resistance, …) and several biological, biochemical, chemical or physical factors related to the environment of these pathosystem components, most of them being manipulated as means to control vector-borne diseases in the crop fields.

scholarly journals The role of serum β-trophin and endostatin in patients with polycystic ovary syndrome: Are they correlated?

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Wei Gong ◽  
Aikmu Bilixzi ◽  
Xinmei Wang ◽  
Yanli Lu ◽  
Li Wan ◽  
...  
Keyword(s):  
Polycystic Ovary Syndrome ◽  
Influencing Factors ◽  
Polycystic Ovary ◽  
Pearson Correlation ◽  
Healthy Controls ◽  
Newly Diagnosed ◽  
Ovary Syndrome ◽  
Factors Affecting ◽  
Main Factors

Abstract Background It’s necessary to investigate the serum β-trophin and endostatin (ES) level and its influencing factors in patients with newly diagnosed polycystic ovary syndrome (PCOS). Methods Newly diagnosed PCOS patients treated in our hospital were selected, and healthy women who took physical examination during the same period as healthy controls. We detected and compared the related serum indicators between two groups, Pearson correlation were conducted to identify the factors associated with β-trophin and ES, and the influencing factors of β-trophin and ES were analyzed by logistic regression. Results A total of 62 PCOS patients and 65 healthy controls were included. The BMI, WHI, LH, FSH, TT, FAI, FBG, FINS, HOMA-IR, TC, TG, LDL, ES in PCOS patients were significantly higher than that of healthy controls, while the SHBG and HDL in PCOS patients were significantly lower than that of healthy controls (all p < 0.05). β-trophin was closely associated with BMI (r = 0.427), WHR (r = 0.504), FBG (r = 0.385), TG (r = 0.405) and LDL (r = 0.302, all p < 0.05), and ES was closely associated with BMI (r = 0.358), WHR (r = 0.421), FBG (r = 0.343), TC (r = 0.319), TG (r = 0.404, all p < 0.05). TG, BMI, WHR and FBG were the main factors affecting the serum β-trophin levels (all p < 0.05). FBG, TC and BMI were the main factors affecting the serum ES levels (all p < 0.05). The TG, β-trophin, ES level in PCOS patients with insulin resistance (IR) were significantly higher than that of those without IR (all p < 0.05). Conclusion Increased β-trophin is closely associated with increased ES in patients with PCOS, which may be the useful indicators for the management of PCOS.

scholarly journals Fine numerical simulation of deep carbonate gas reservoir in northwest Sichuan

2021 ◽  
Vol 651 (3) ◽  
pp. 032084
Author(s):  
Yicheng Liu ◽  
Yufeng Gong ◽  
Junjie Wang ◽  
XueMei Lan ◽  
Lianjin Zhang ◽  
...  
Keyword(s):  
Numerical Simulation ◽  
Gas Reservoir

scholarly journals Grey Relational Grade Based Quantitative Analysis of the Factors Influencing the Load Characteristics of A Power Grid

2018 ◽  
Vol 53 ◽  
pp. 01012 ◽  
Author(s):  
Wei Pan ◽  
Caijia Lei ◽  
Wei Jia ◽  
Hui Gao ◽  
Binghua Fang
Keyword(s):  
Quantitative Analysis ◽  
Influencing Factors ◽  
Power Grid ◽  
Grey System Theory ◽  
Grey System ◽  
Factors Affecting ◽  
Grey Relational Grade ◽  
Load Characteristics ◽  
Grey Relational ◽  
Main Factor

Regarding analysis of load characteristics of a power grid, there are multiple factors that influence the variation of load characteristics. Among these factors, the influence of different ones on the change of load characteristic is somewhat different, thus the degree of influence of various factors needs to be quantified to distinguish the main and minor factors of load characteristics. Based on this, the grey relational analysis in the grey system theory is employed as the basis of mathematical model in this paper. Firstly, the main factors affecting the load characteristics of a power grid are analysed. Then, the principle of quantitative analysis of the influencing factors by using grey relational grade is introduced. Lastly, the load of Guangzhou power grid is selected as the research object, thereby the main factor of temperature affecting the load characteristics is quantitatively analysed, such that the correlation between temperature and load is established. In this paper, by investigating the influencing factors and the degree of influence of load characteristics, the law of load characteristics changes can be effectively revealed, which is of great significance for power system planning and dispatching operation.

Numerical simulation and experimental investigation of multiphase mass transfer process for industrial applications in China

2019 ◽  
Vol 36 (1) ◽  
pp. 187-214
Author(s):  
Chao Yang ◽  
Guangsheng Luo ◽  
Xigang Yuan ◽  
Jie Chen ◽  
Yangcheng Lu ◽  
...  
Keyword(s):  
Numerical Simulation ◽  
Mass Transfer ◽  
Transfer Process ◽  
Transport Phenomena ◽  
Measurement Techniques ◽  
Mass Transfer Process ◽  
Industrial Applications ◽  
Economic Benefits ◽  
Distillation Columns ◽  
Stirred Reactors

Abstract This paper presents a comprehensive review of the remarkable achievements by Chinese scientists and engineers who have contributed to the multiscale process design, with emphasis on the transport mechanisms in stirred reactors, extractors, and rectification columns. After a brief review of the classical theory of transport phenomena, this paper summarizes the domestic developments regarding the relevant experiments and numerical techniques for the interphase mass transfer on the drop/bubble scale and the micromixing in the single-phase or multiphase stirred tanks in China. To improve the design and scale-up of liquid-liquid extraction columns, new measurement techniques with the combination of both particle image velocimetry and computational fluid dynamics have been developed and advanced modeling methods have been used to determine the axial mixing and mass transfer performance in extraction columns. Detailed investigations on the mass transfer process in distillation columns are also summarized. The numerical and experimental approaches modeling transport phenomena at the vicinity of the vapor-liquid interface, the point efficiency for trays/packings regarding the mixing behavior of fluids, and the computational mass transfer approach for the simulation of distillation columns are thoroughly analyzed. Recent industrial applications of mathematical models, numerical simulation, and experimental methods for the design and analysis of multiphase stirred reactors/crystallizers, extractors, and distillation columns are seen to garnish economic benefits. The current problems and future prospects are pinpointed at last.

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