Paper Type	::	Research Paper
Title	::	Application of Cloud Transformation Technology in Predicting Reservoir Property
Country	::	China
Authors	::	Yulong Zhuo ||, Kai Shao ||, Yuxi Cui
Page No.	::	01-04
	::	0.4/3021-05740104
	::	3021-0507-0404

Large and extensive area of thin reservoir in Songliao basin,these reservoirs' physical parameters' relationships are not linear, nor the function can be expressed. Most of the relationships of parameters are distributed by kinds of cloud shapes.If the cloud model is applied to the thin reservoir prediction, which can maximum reduce the fitting error between the two functions, especially between the two functions without linear and parabolic conventional relations, etc.The Cloud Transformation technology for reservoir porosity, permeability and other physical parameters prediction provides a scientific and effective method, also has a practical significance to the exploration and evaluation in oilfield .

 

Key words: Reservoir prediction; Songliao basin; Cloud transformation; seismic inversion

[1]. Fu Guang, Zhang Yunfeng, Du Guochun. Lithologic reservoir forming mechanism and main control factors in northern songliao basin [J]. Journal of petroleum exploration and development, 2002, 29 (5) : 22-24.
[2]. Li Jianzhong. Lithologic reservoir accumulation elements in southern songliao basin and the prospecting direction [J]. Journal of oil, 2003, 24 (3) : 24-27
[3]. F.Y.R en, X.J.Z hu, et al: Progress in Geophysics, (2012) no. 27, p. 1640-1647.
[4]. T.S.X iao S.F.L u, H.F.C hen, et al: Oil & Gas Geology, (2012) no. 34, p129-136.
[5]. T.X.C he, Y.Z.H uang: Petroleum Geophysical Geophysical, (2013) no. 48, p131-138.

Paper Type	::	Research Paper
Title	::	Yingtai Area in Songliao Basin as the Main Layer Tight Oil "Dessert" Reservoir Prediction
Country	::	China
Authors	::	Lin Zhu ||, Kai Shao ||, Yuxi Cui
Page No.	::	05-08
	::	0.4/3021-05740508
	::	3021-0507-0408

Tight oil as one of unconventional oil and gas resources are widely distributed, great potential. In recent years, with the development of shale gas and the volume of fracturing horizontal well technology, dense oil and gas has the potential to succeed in the areas of energy exploration and development has become increasingly active, is developing rapidly. The main layer "dessert" predict played a crucial role again when the reservoir development deployment position, aiming Songliao Basin Yingtai area as an example, from seismic attribute analysis are based on a study combining geostatistical inversion.

 

Keywords: Tight oil; Songliao Basin; Geostatistical inversion; Phase shift process;

[1] Stephen A. Sonnenberg, Aris Pramudito. Petroleum geology of the giant ElmCoulee field,W illiston Basin. AAPG Bulletin, v.93, no. 9 (September 2009), pp. 1127～1153.
[2] Mackey,S.D.and Bridge,J.S.Three-dimensional model of alluvial stratigraphy:theory and application.Journal of Sedimentary Research,1995,B65(1):7~31.
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[5] Cander H．What is unconventional resources[R]. Long Beach，California：AAPG Annual Convention and Exhibition，2012.

Paper Type	::	Research Paper
Title	::	Oil-Water Layer Recognition and Distribution of PI Reservoir in G Region
Country	::	China
Authors	::	Yang Xiaoyu ||, Li Huanxiang ||, Liu Xiaowen
Page No.	::	09-12
	::	0.4/3021-05740912
	::	3021-0507-0412

Based on the comprehensive analysis of core、oil testing and logging data, this paper searched the cause of low-resistivity oil layer and high-resistivity water layer.Then oil-water layer logging interpretation chart was established by using RLLD and corrected RILD to identify oil-water layers. The log interpretation result shows there are 5 types of vertical oil-water distribution of single well in research area:pure oil layer type、oil to water layer type、oil-water layer type、pure water layer type、messy type. The vertical and horizontal oil-water distribution was finally concluded.

 

Key words:G region;PI reservoir; Oil-water layer recognition; Oil-water layer distribution

[1]. Ming Yan, Yilin Li, Yumeng Wang. Oil-water distribution law and controlling factors of Putaohua reservoir in the east of Pubei oilfield [J]. Journal of Northeast Petroleum University, 2014,38（6）：54-60.
[2]. Xueqing Zhang, Jun Dong, Jianquan Dai. Oil and Water Distribution of Carboniferous Reservoir in Tahe Oilfield [J]. Xinjiang Petroleum Geology，2002,22（4）：306-308.
[3]. Heyi Li, Chengzhi Liu, Hui Li.Oil-water Distribution and Reservoirs Types of Fuyu Reservoir around Sanzhao Area [J].Contemporary Chemical Industry，2014,43（10）：2143-2146.

[4]. Wenli Yao, Quan Wang, Junlin Chen.Oil-water Distribution and Controlling Factors of Triassic in Wellblock Xia 9[J].Journal of Yangtze University，2011,8（11）：16-21.
[5]. Han Wang. A Study on Oil-water Distribution in the North of Jinglou Oilfield [J].Journal of Oil and Gas Technology，2010,32（4）：140-144.

Paper Type	::	Research Paper
Title	::	Modeling and Optimization of the Poison's Ratio of Latertic Concrete using Scheffe's Theory
Country	::	Nigeria
Authors	::	Onuamah, P.N. ||, and Osadebe N. N.
Page No.	::	13-25
	::	0.4/3021-05741325
	::	3021-0507-0425

The ubiquity of laterite in this region of the world imposes the need for its utilization in concrete and road making works for the economic growth of the region. Laterite is the reddish soil layer often belying the top soil in many locations and further deeper in some areas, collected from the Vocational Education Building Site of the University of Nigeria, Nsukka. The paper presents the report of an investigation carried out to model and optimize the Poison ratio of Lateritic Concrete. The work applied the Scheffe's optimization approach to obtain a mathematical model of the form f(xi1,xi2,xi3), where xi are proportions of the concrete components, viz: cement, laterite and water. Scheffe's experimental design techniques are followed to mould various block samples measuring 220mm x 210mm x 120mm, with varying generated components ratios which were tested for 28 days strength to obtain the model: Ŷc = 0.33X1+ 0.27X2 + 0.45X3 + 0.52X1X2 – 0.02X2X3 . To carry out the task, we embark on experimentation and design, applying the second order polynomial characterization process of the simplex lattice method. The model adequacy is checked using the control factors. Finally a software is prepared to handle the design computation process to select the optimized properties of the mix, and generate the optimal mix ratios for the desired property.

 

Keywords: Optimization, Lateritic concrete, pseudo-component, Simplex-lattice, model adequacy.

[1]. Onuamah, P. N., Modeling and Optimization of the Compressive Strength of Latertic Concrete Using Scheffe's Theory, International Organization of Scientific Research - Journal of Engineering (IOSR-JEN), Vol. 5, Issue 5, pp. 74-86.
[2]. Orie, O.U., Osadebe, N.N., "Optimization of the Compressive Strength of Five Component Concrete Mix Using Scheffe's Theory – A case of Mound Soil Concrete", Journal of the Nigerian Association of Mathematical Physics, Vol. 14, pp. 81-92, May, 2009.
[3]. Majid, K.I., Optimum Design of Structure, Butterworths and Co., Ltd, London, pp. 16, 1874.
[4]. David, J., Galliford, N., Bridge Construction at Hudersfield Canal, Concrete, Number 6, 2000.
[5]. Ecocem Island Ltd, Ecocem GBBS Cement. "The Technically Superior and Environmentally Friendly Cement", 56 Tritoville Road Sand Dublin 4 Island, 19.

Paper Type	::	Research Paper
Title	::	Detecting spammers in YouTube: A study to find spam content in a video platform.
Country	::	India
Authors	::	P. Sai Kiran
Page No.	::	26-30
	::	0.4/3021-05742630
	::	3021-0507-0430

Social networking has become a popular way for users to meet and interact online. Users spend a significant amount of time on popular social network platforms (such as Facebook, MySpace, or Twitter), storing and sharing personal information. This information, also attracts the interest of cybercriminals. In this paper, a step further is taken by addressing the issue of detecting video spammers and promoters.

 

Keywords: YouTube, Spammers, video spam, social network, supervised machine learning, SVM.

[1]. Alexa top 500 global sites. http://www.alexa.com/topsites.
[2]. Harris Interactive Public Relations Research. A study of social networks scams. 2008
[3]. M. Cha, H. Kwak, P. Rodriguez, Y. Ahn, and S. Moon. I tube, you tube, everybody tubes: Analyzing the world's largest user generated content video system. In Proc. of IMC, 2007.
[4]. C. Castillo, D. Donato, A. Gionis, V. Murdock, and F. Silvestri. Know your neighbors: Ib spam detection using the Ib topology. In Int'l ACM SIGIR, pages 423–430, 2007.
[5]. Z. Gy¨ongyi, H. Garcia-Molina, and J. Pedersen. Combating Ib spam with trustrank. In Int'l. Conf. on Very Large Data Bases, pages 576–587, 2004.

Paper Type	::	Research Paper
Title	::	Assessment of the life quality of urban areas residents (The case study of the city of Fahraj)
Country	::	Iran
Authors	::	Amir Fahraji Azad ||, Maryam karimiyan Bostani ||, Mahmod Reza Anvari
Page No.	::	31-36
	::	0.4/3021-05743136
	::	3021-0507-0436

Today, the quality of urban life is as the key concept in urban planning and different definitions of quality of life have been presented. At a glance, the quality of life can be defined as favorable environmental objective conditions and positive personal assessment of these conditions. Various scientific fields such as medicine, social sciences, geography, etc have studied the quality of life according to their expertise. So in this regard the goal of the present research is the assessment of the life quality of urban areas and the case study is the city of Fahraj. The research method is analytic-descriptive and based on library, documentary and field studies. The results of AHP model show that the criterion of E (Family life) with weight of (0.254) is in the first place and the criterion of B (material excellence) with weight of (0.121) is the last place.

 

Keywords: Quality of life, Urban areas, Fahraj, AHP Model

[1]. Azar, A & Zare, A, (2002), Factors affecting the efficiency of using multi-criteria decision-making models, Daneshvar, 10 (42): 1-16.
[2]. Baldwin, Sally, Christine Godfrey and Carol Propper, (1992). Quality of Life: perspectives and policies, Routledge
[3]. Barry, N, (2007), Social Welfare, Translated by A.Mirhosseini, M.Noorbakhash, Samat Publication
[4]. Craglia, M., Leontidou, L., Nuvolati, G. and Schweikart, J., (2004), Towards the Development of Quality of Life Indicators in the Digital City, Environment and Planning B-Planning & Design, Vol. 31, No. 1, PP. 51-64.
[5]. Das, D., (2008), Urban Quality of Life: A Case Study of Guwahati, Social Indicators Research, Vol. 88, PP. 297-310.

Paper Type	::	Research Paper
Title	::	Analysis and prioritization of factors affecting the tourists' satisfaction (Case study: in Southern Khorasan Province)
Country	::	Iran
Authors	::	Mohammad Reza Hosseini ||, Maryam karimian Bostani ||, Mahmoud Reza Anvari
Page No.	::	37-42
	::	0.4/3021-05743742
	::	3021-0507-0442

Religious tourism with the history related to the past centuries is one of the most common forms of tourism throughout the world which has constituted a considerable share in tourist activities. Experts of tourism industry believe that religious tourism has a great growth and development opportunity in Iran, which is related to its special religious and cultural situation in the region. Despite the existence of 8919 sacred religious locations in Iran, its religious tourism still lacks any kind of centralized and specialized organization. Today, tourism development is not possible in the absence of knowing the needs and satisfaction rate of tourists as well as their effective factors; this issue has been also specifically considered at national, regional, and international levels. Therefore, the present study aimed to measure the satisfaction rate of tourists and its effective factors in order to develop religious tourism in South Khorasan Province. This research was an analytical-descriptive work .ranking results of the effective factors for the satisfaction rate of religious tourists revealed that information quality for tourists gained 0.861 value score, life and financial safety 0.793 value, and environmental calmness 0.787 value, had a better position than others.

 

Keywords: Religious tourism, satisfaction, TOPSIS technique, South Khorasan.

[1]. Ajit, kiran, Sh, (2004), Quest for good governance and potential of religious institution as stakeholdersh.
[2]. Ghafari. S. R, (1999), Introduction to physical planning of rural settlements, Islamic Azad University of Shahr Kord first edition, Shahr Kord
[3]. Ghanbari.U, Moghimi.F, Ma'afai.F and Bahrami.M, (2012), Assessing the pilgrims satisfaction of the possibilities of religious tourism spaces, Case Study: Tomb of Shah Cheragh(AS), the first national conference on tourism and ecotourism of Iran
[4]. Kanoknon, S, (2009), Tourist motivation to use homestays in Thailand and their satisfaction based on the destination's cultural and heritage based attribute, Dissertations, Academic - University of Missouri Columbia. Prebensen, N.K &
[5]. Marin,J.A & Taberner, J. G, (2007), Satisfaction and dissatisfaction with destination attributes: Influence on overall satisfaction and the intention to return, Journal of Consumer Satisfaction, Dissatisfaction and Complaining Behavior, Vol. 1, 74-9.

Paper Type	::	Research Paper
Title	::	Analysis Of Theo Jansen Mechanism (Strandbeest) And Its Comparative Advantages Over Wheel Based Mine Escavation System
Country	::	India
Authors	::	Swadhin Patnaik
Page No.	::	43-52
	::	0.4/3021-05744352
	::	3021-0507-0452

I decided to implement linkage based locomotive systems on standard load carrying tippers and trucks as a replacement for the conventional tyres. The first mechanism which I came across for such purpose was Klann mechanism which actually mimics the motion of the biological organism (crab). On observing further in detail I found that there were lot of drawbacks with the Klann mechanism, the drawbacks being jerky motion and difficulty in the turning of the vehicle. The next step to be taken was to find a better mechanism which had a smooth walking pattern on any given terrain and could easily function as per requirements. The most flexible mechanism which I settled with is THEO-JANSEN MECHANISM (STRANDBEEST). My final contribution would be to do compressive load analysis to determine the load carrying capacity of the system and compare it with that of a standard wheel based truck or tipper. Finally, all vehicles must be controlled - by a human or other means. Therefore it is necessary to investigate methods of controlling such vehicles.

[1]. Real-time 2D simulation of Jansen's sculpture using the APE physics engine.

[2]. ThyssenKrupp Fördertechnik. (2005). Business Unit: Mining.

[3]. Strandbeest: Theo Jansen from Art Futura, 2005.

[4]. Design (Constructional Characteristics) of Large Wheel Excavators. Journal of Mines, Metals, and Fuels, 34(4), 204-213

[5]. Animations and Comparison of Jansen and Klann linkages: mechanicalspider.com

Paper Type	::	Research Paper
Title	::	Simulation study of Markov chain models with an application in Cognitive Radio Networks
Country	::	India
Authors	::	Arunkumar B R ||, Raghu M S
Page No.	::	53-68
	::	0.4/3021-05745368
	::	3021-0507-0468

Spectrum management is a crucial task in wireless networks. The research in cognitive radio networks by applying Markov is highly significant suitable model for spectrum management. This research work is the simulation study of variants of basic Markov models with a specific application for channel allocation problem in cognitive radio networks by applying continuous Markov process. The Markov channel allocation model is designed and implemented in MATLAB environment, and simulation results are analyzed.

Keywords: Cognitive radio networks, channel allocation, Markov Model.

[1]. www.dartmouth.edu/~chance/teaching_aids/books_articles/probability_book/Chapter11.pdf
[2]. I. A. Akbar and W. H. Tranter. Dynamic spectrum allocation in cognitive radio using hidden Markov models: Poisson distributed case. Proceedings of IEEE Southeast Conference, pages 196-201, March 2007.
[3]. Z. Chen, N. Guo, Z. Hu, and R. C. Qiu. Channel state prediction in cognitive radio, Part II: Single-user prediction. Proceedings of IEEE SoutheastCon, pages 50-54, March2011.
[4]. Y. Ephraim and N. Merhav. Hidden Markov processes. IEEE Transactions on InformationTheory, 48(6):1518-1569, June 2002.
[5]. S. Geirhofer, L. Tong, and B. M. Sadler.A measurement-based model for dynamic spectrum access in WLAN channels.Proceedings IEEE Military Communication Conference, pages 1-7, Oct. 2006.