Academic literature on the topic 'Huff model'

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Journal articles on the topic "Huff model"

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Griffith, Daniel A. "A Generalized Huff Model." Geographical Analysis 14, no. 2 (2010): 135–44. http://dx.doi.org/10.1111/j.1538-4632.1982.tb00062.x.

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Singla, Vikas, and Harpreet Rai. "Examining the Effectiveness of Huff Model in Store Performance Assessment." Jindal Journal of Business Research 7, no. 2 (2018): 122–34. http://dx.doi.org/10.1177/2278682118777033.

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Huff model and its variants have been used extensively in location decision making. This study has compared two versions of Huff model of location decision making in their appropriateness to analyze sales performance of selected shopping center. The sales have been estimated by using original Huff model given by David L. Huff (1964, Journal of Marketing, 28, 34–38) and modified version of it is suggested by Li and Liu in 2012 ( Applied Geography, 32, 591–600). The modified version considered the effects of agglomeration and competition on similar stores. But the selected stores were standalone stores. In this study instead, a famous shopping mall consisting of cluster of stores, which create bundling effect and provide more choices to customers, has been used to understand the effectiveness of discussed two versions of Huff model. The results were obtained for different agglomeration and competition factors in case of modified Huff model. These different factors were found to have significant influence on estimation of sales suggesting utmost care in their selection. Overall modified version was found to be more suitable in fulfilling the objective.
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Huff, David L., and William C. Black. "The Huff model in retrospect." Applied Geographic Studies 1, no. 2 (1997): 83–93. http://dx.doi.org/10.1002/(sici)1520-6319(199722)1:2<83::aid-ags1>3.0.co;2-p.

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Wang, Qi, Hanqiao Jiang, Jianfa Han, Daigang Wang, and Junjian Li. "Adaptive Prediction of Enhanced Oil Recovery by N2 huff-n-puff in Fractured-Cavity Reservoir Using an FNN-FDS Hybrid Model." Applied Sciences 11, no. 19 (2021): 8871. http://dx.doi.org/10.3390/app11198871.

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N2 huff-n-puff has proven to be a promising technique to further improve oil recovery in naturally fractured-cavity carbonate reservoirs. The effect of enhanced oil recovery (EOR) by N2 huff-n-puff is significantly affected by various dynamic and static factors such as type of reservoir space, reservoir connectivity, water influx, operational parameters, and so on, typically leading to a significant increase in oil production. To reduce the prediction uncertainty of EOR performance by N2 huff-n-puff, an adaptive hybrid model was proposed based on the fundamental principles of fuzzy neural network (FNN) and fractional differential simulation (FDS); a detailed prediction process of the hybrid model was also illustrated. The accuracy of the proposed FNN-FDS hybrid model was validated using production history of N2 huff-n-puff in a typical fractured-cavity carbonate reservoir. The proposed model was also employed to predict the EOR performance by N2 huff-n-puff in a naturally fractured-cavity carbonate reservoir. The methodology can serve as an effective tool to optimize developmental design schemes when using N2 huff-n-puff to tap more remaining oil in similar types of carbonate reservoirs.
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Kong, Xiangwen, Hongjun Wang, Wei Yu, Ping Wang, Jijun Miao, and Mauricio Fiallos-Torres. "Compositional Simulation of Geological and Engineering Controls on Gas Huff-n-Puff in Duvernay Shale Volatile Oil Reservoirs, Canada." Energies 14, no. 8 (2021): 2070. http://dx.doi.org/10.3390/en14082070.

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Duvernay shale is a world class shale deposit with a total resource of 440 billion barrels oil equivalent in the Western Canada Sedimentary Basin (WCSB). The volatile oil recovery factors achieved from primary production are much lower than those from the gas-condensate window, typically 5–10% of original oil in place (OOIP). The previous study has indicated that huff-n-puff gas injection is one of the most promising enhanced oil recovery (EOR) methods in shale oil reservoirs. In this paper, we built a comprehensive numerical compositional model in combination with the embedded discrete fracture model (EDFM) method to evaluate geological and engineering controls on gas huff-n-puff in Duvernay shale volatile oil reservoirs. Multiple scenarios of compositional simulations of huff-n-puff gas injection for the proposed twelve parameters have been conducted and effects of reservoir, completion and depletion development parameters on huff-n-puff are evaluated. We concluded that fracture conductivity, natural fracture density, period of primary depletion, and natural fracture permeability are the most sensitive parameters for incremental oil recovery from gas huff-n-puff. Low fracture conductivity and a short period of primary depletion could significantly increase the gas usage ratio and result in poor economical efficiency of the gas huff-n-puff process. Sensitivity analysis indicates that due to the increase of the matrix-surface area during gas huff-n-puff process, natural fractures associated with hydraulic fractures are the key controlling factors for gas huff-n-puff in Duvernay shale oil reservoirs. The range for the oil recovery increase over the primary recovery for one gas huff-n-puff cycle (nearly 2300 days of production) in Duvernay shale volatile oil reservoir is between 0.23 and 0.87%. Finally, we proposed screening criteria for gas huff-n-puff potential areas in volatile oil reservoirs from Duvernay shale. This study is highly meaningful and can give valuable reference to practical works conducting the huff-n-puff gas injection in both Duvernay and other shale oil reservoirs.
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Jang, Woo, Jason Rhodes, Dooyoung Shin, and Sung Kim. "RETAIL SITE ANALYSIS WITH THE HUFF MODEL." International Journal of Business Strategy 15, no. 3 (2015): 43–48. http://dx.doi.org/10.18374/ijbs-15-3.5.

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Hou, Ganggang, Xiaoli Ma, Wenyue Zhao, Pengxiang Diwu, Tongjing Liu, and Jirui Hou. "Synergistic Modes and Enhanced Oil Recovery Mechanism of CO2 Synergistic Huff and Puff." Energies 14, no. 12 (2021): 3454. http://dx.doi.org/10.3390/en14123454.

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With the gradual declining of oil increment performance of CO2 huff-and-puff wells, the overall oil exchange rate shows a downward tendency. In this regard, CO2 synergistic huff-and-puff technologies have been proposed to maintain the excellent effect and extend the technical life of such wells. However, there is no specific research on the mechanism and synergistic mode of CO2 huff and puff in horizontal wells. This study aims to establish the synergistic mode and determine the adaptability and acting mechanism of CO2 synergistic huff and puff. Three synergistic huff-and-puff modes are proposed based on the peculiarity of the fault-block reservoir’s small oil-bearing area and broken geological structure. We establish three typical CO2 synergistic huff-and-puff models and analyze the influence of different geological and development factors on the huff-and-puff performance with numerical simulation. Each factor’s sensitivity is clarified, and the enhanced oil recovery (EOR) mechanism of CO2 synergistic huff and puff is proposed. The sensitivity evaluation results show that the reservoir rhythm, inter-well passage, well spacing, high-position well liquid production rate, and middle-well liquid production rate are extremely sensitive factors; the stratum dip and injection volume allocation scheme are sensitive factors; and the relationship with structural isobaths is insensitive. The EOR mechanism of synergistic huff and puff includes gravity differentiation, supplementary formation energy, CO2 forming foam flooding, and coupling effect of production rate and oil reservoirs. The implementation conditions of the two-well cooperative stimulation mode are the simplest. The two-well model is suitable for thick oil layers with a positive rhythm and large formation dip. The single-well mode requires no channeling between the wells, and the multi-well mode requires multi-well rows and can control the intermediate well’s fluid production rate. Field application at C2X1 block shows a good performance with a total oil increment of 1280 t and an average water-cut reduction of 57.7%.
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Tang, Yong, Jiehong Tang, Qi Liu, et al. "Review on Phase Behavior in Tight Porous Media and Microscopic Flow Mechanism of CO2 Huff-n-Puff in Tight Oil Reservoirs." Geofluids 2020 (November 7, 2020): 1–15. http://dx.doi.org/10.1155/2020/8824743.

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The successful development of tight oil reservoirs in the U.S. shows the bright future of unconventional reservoirs. Tight oil reservoirs will be the main target of exploration and development in the future, and CO2 huff-n-puff is one of the most important methods to enhance oil recovery factor of tight oil reservoirs in North America. To improve the performance of CO2 huff-n-puff, injection and production parameters need to be optimized through numerical simulation. The phase behavior and microscopic flow mechanism of CO2 huff-n-puff in porous media need to be further investigated. This paper presents a detailed review of phase behavior and microscopic flow mechanism in tight porous media by CO2 huff-n-puff. Phase behavior in tight porous media is different from that in a PVT cylinder since the capillary pressure in tight porous media reduces the bubble point pressure and increases the miscibility pressure and critical temperature. The condensate pressure in tight porous media and nonequilibrium phase behavior need to be further investigated. The microscopic flow mechanism during CO2 huff-n-puff in tight porous media is complicated, and the impact of molecular diffusion, gas-liquid interaction, and fluid-rock interaction on multiphase flow is significant especially in tight porous media. Nuclear magnetic resonance (NMR) and molecular simulation are efficient methods to describe the microscopic flow in tight oil reservoirs, while the NMR is not cost-effective and molecular simulation needs to be improved to better characterize and model the feature of porous media. The improved molecular simulation is still a feasible method to understand the microscopic flow mechanism of CO2 huff-n-puff in tight oil reservoirs in the near future. The microscopic flow model in micropore network based on digital core is worth to be established, and phase behavior needs to be further incorporated into the microscopic flow model of CO2 huff-n-puff in tight porous media.
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Maurich, David. "Experimental Study of the Effect of Continuous Surfactant Injection Alternating Cyclic Huff & Puff Stimulation on Oil Efficiency Recovery in A 3D Reservoir Physical Model." JOURNAL OF APPLIED SCIENCE (JAPPS) 1, no. 2 (2019): 018–30. http://dx.doi.org/10.36870/japps.v1i2.49.

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Surfactant can displace oil which trapped by capillary effect, make it easier to be produced and finally improve oil recovery factor. However, the effectiveness of surfactant injection depends on many parameters such as surfactant-reservoir fluids properties and interaction, reservoir characteristics and its interaction with surfactant and also surfactant injection scenario or operational methods. This paper discusses about the effect of continuous surfactant injection alternating huff &amp; puff stimulation on oil recovery factor from a quadrant of five-spot pattern in a 3D physical model made from a mixture of sands, cement and water with dimension of 15 cm x 15 cm x 2.5 cm to serve as the surrogate for oil reservoir in laboratory. In order to simulate the oil recovery from a secondary waterflooding process, 0.17 PV of formation water was injected into 3D reservoir physical model. This process could recover about 25.5% OOIP from the physical model, however the injection then shortly terminated due to a drastically increase of watercut. Residual oil then be recovered by a sequence of continuous surfactant injection alternating huff and puff stimulation method. The recovery factor by continuous surfactant injection combine with chase water drive gave a 5.5 % OOIP additional recovery and another 6.8 % OOIP after 24 hours surfactant huff &amp; puff stimulation in the first sequence. After conducting 3 series of a combination of continuous surfactant injection alternating huff &amp; puff stimulation, the total oil recovery from overall processes was about 51.7% OOIP. We presume that the lack of mobility control on macroscopic sweep efficiency in a 3D reservoir physical model is the rationale behind this moderate oil recovery which only produced by surfactant microscopic displacement efficiency. Nevertheless, the research shows that the combination of continuous surfactant injection alternating huff &amp; puff stimulation obviously improve the recovery factor to some extent.
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Shi, Meilin, Krzysztof Janowicz, Ling Cai, Gengchen Mai, and Rui Zhu. "A Socially Aware Huff Model for Destination Choice in Nature-based Tourism." AGILE: GIScience Series 2 (June 4, 2021): 1–16. http://dx.doi.org/10.5194/agile-giss-2-14-2021.

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Abstract. Identifying determinants of tourist destination choice is an important task in the study of nature-based tourism. Traditionally, the study of tourist behavior relies on survey data and travel logs, which are labor-intensive and time-consuming. Thanks to location-based social networks, more detailed data is available at a finer grained spatio-temporal scale. This allows for better insights into travel patterns and interactions between attractions, e.g., parks. Meanwhile, such data sources also bring along a novel social influence component that has not yet been widely studied in terms of travel decisions. For example, social influencers post about certain places, which tend to influence destination choices of tourists. Therefore, in this paper, we propose a socially aware Huff model to account for this social factor in the study of destination choice. Moreover, with fine-grained social media data, interactions between attractions (i.e., the neighboring effects) can be better quantified and thus integrated into models as another factor. In our experiment, we calibrate a model by using trip sequences extracted from geotagged Flickr photos within two national parks in the United States. Our results demonstrate that the socially aware Huff model better simulates tourist travel preferences. In addition, we explore the significance of each factor and summarize the spatial-temporal travel pattern for each attraction. The socially aware Huff model and the calibration method can be applied to other fields such as promotional marketing.
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Dissertations / Theses on the topic "Huff model"

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Huang, Shijing. "Estimating drug market locations in Cincinnati using the Huff model." Cincinnati, Ohio : University of Cincinnati, 2004. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=ucin1090862711.

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HUANG, SHIJING. "ESTIMATING ILLEGAL DRUG MARKET LOCATION IN CINCINNATI USING THE HUFF MODEL." University of Cincinnati / OhioLINK, 2004. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1090862711.

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Li, Yingru. "A GIS Based Locational Analysis on Wal-Mart and Kmart Stores in Greater Cincinnati with the Huff Model." University of Cincinnati / OhioLINK, 2006. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1152652586.

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Saša, Medić. "Model određivanja arhitektonskih programa tržnih centara primenom savremenih tehnologija." Phd thesis, Univerzitet u Novom Sadu, Fakultet tehničkih nauka u Novom Sadu, 2020. https://www.cris.uns.ac.rs/record.jsf?recordId=113920&source=NDLTD&language=en.

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Centralna tema istraživanja se zasniva na proučavanju procesaoptimizacije određivanja arhitektonskih programa tržnih centaraprimenom savremenih tehnologija. Istraživanje dominantno obrađujeteme vezane za značaj dispozicije objekata tržnih centara i raspodelenjihovih programskih sadržaja.<br>The central theme of this research is based on the study of the optimizationfor determining architectural programmes of the chopping centers processby means of contemporary technologies. The research mainly deals withtopics related to the importance of disposition of shopping centers and thedistribution of their programmes.
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Hupf, Christina [Verfasser], and Joachim [Akademischer Betreuer] Wegener. "Impedance-based analysis of 3D tissue models: A novel measurement setup for novel measurement modes / Christina Hupf ; Betreuer: Joachim Wegener." Regensburg : Universitätsbibliothek Regensburg, 2018. http://d-nb.info/1156008387/34.

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Ferreira, Inês Maria Gomes. "Análise geográfica de uma rede de Agências Bancárias." Master's thesis, 2015. http://hdl.handle.net/10451/22870.

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Trabalho de projecto de mestrado, Gestão de Informação (Gestão e Análise de Dados), Universidade de Lisboa, Faculdade de Ciências, 2015<br>A análise de uma rede comercial é um fator de grande importância para um negócio, em parti-cular no mercado bancário onde os investimentos são avultados. Neste contexto, a escolha da localização de uma nova agência, ou o encerramento de uma existente, passam por um pro-cesso decisório complexo que considera fatores internos e externos, sendo fundamental acau-telar o sucesso futuro. Portanto é cada vez mais necessário fazer avaliações regulares e estru-turadas ao desenho da rede, sendo que neste trabalho é considerada a rede de agências da Caixa Geral de Depósitos (CGD). Neste relatório descreve-se uma metodologia suportada num sistema de informação geográ-fica (SIG) e num modelo gravitacional que possibilita a análise da rede de agências da CGD, tendo por objetivo classificar as agências em função da sua localização e outras caraterísticas. Começou-se pelo conhecimento dos dados relativos às agências e à sua localização, que con-sistiu na realização de transformações, para poderem ser representados em mapas. Nomea-damente foi feita conversão de moradas em coordenadas geográficas com recurso a um servi-ço da Google e foram consultadas várias fontes com dados sobre os municípios e distritos. De seguida, desenvolveu-se um programa em Javascript para obter matrizes de distâncias e tempos de percursos realistas entre clientes e agências, que têm em conta dois modos de des-locação, a pé e de carro. Para este efeito foi usado o serviço Distance Matrix da biblioteca Google Maps. Com base na matriz de distâncias foram desenvolvidos três programas em R para calcular per-centagens do modelo gravitacional de Huff: um primeiro que só considera as agências da CGD, um segundo que inclui as agências da concorrência e um terceiro que procura a percentagem de Huff máxima no caso de existirem vários pontos de origem de clientes. Por último, a informação obtida do modelo de Huff foi visualizada em mapas usando um SIG, permitindo a avaliação da estrutura e características da rede de agências da CGD. Através do trabalho realizado, é também contemplada a capacidade de analisar cenários resul-tantes da conjugação e/ou manipulação de fatores internos e externos simulados ou com valo-res previstos para o futuro, que podem provocar possíveis alterações na rede de agências, indo ao encontro de um leque mais alargado de necessidades de um decisor.<br>The analysis of a comercial network is an extremely important factor to a business, in particu-lar when it comes to the bank market where the investments are usually big. In this context, chosing the location of a new agency or closing an already existing one is something that goes through a complex deciding process that takes into account both internal and external factors, thus being of particular importance to take care of the future success. It is more and more necessary to undergoe regular and structured evaluations regarding the scheme of the net-work; in this paper we're looking into the Caixa Geral de Depósitos (CGD) agency network. In this report is described a methodology supported by a geographical information system (GIS) and a gravitational model that makes the CGD agency network analysis possible, so which ultimate goal is to classify the agencies according to their locations and other characteristics. The project started with a data agencies knowledge and their location, consisting on transfor-mations so it could appear on maps. A conversion of addresses into geographical coordinates was made by using a Google service. Also most of the information about the different counties and districts was consulted from different sources. Based on the distance matrix three 'R' programs were developed to calculate percentages off of the Huff gravitational model: the first one, which only takes into account the CGD agencies; the second one, including all the other competing agencies; and the third one, that looks for the maximum Huff percentage, in case there are several points of clients source. At last, the information obtained from Huff model was displayed on maps using a GIS, allowing the evaluation of structure and characteristics of CGD's agencies network. Through the work, it is also considered the ability to analyze scenarios resulting from the com-bination and/or manipulation of a pretending internal and external factors or predicted values for the future, that could cause possible changes in the agencies network, going to meet a wider range of needs of a decision maker.
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Moravcová, Michala. "Tři eseje o měnových trzích ve střední Evropě." Doctoral thesis, 2019. http://www.nusl.cz/ntk/nusl-408284.

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This dissertation thesis consists of three essays on new EU foreign exchange markets (FX), i.e. the Czech koruna, Polish zloty and Hungarian forint. In the first two essays, the impact of foreign macroeconomic news announcements and central banks' monetary policy settings on the value and volatility of examined exchange rates is analyzed. In the third chapter, the conditional comovements and volatility spillovers on new EU FX markets is examined. The aim of this thesis is to contribute to the existing empirical literature by providing new evidence of the examined currencies during periods, which have not been examined yet (after the Global financial crisis (GFC), during the EU debt crisis and during currency interventions in the Czech Republic). The first essay (Chapter 2) examines the impact of Eurozone/Germany and US macroeconomic news announcements and monetary policy settings of the ECB and the Fed on the value of new EU member states' currencies. It is a complex analysis of 1-minute intraday dataset performed by event study methodology (ESM). We observe different reactions of exchange rates in pair with the US dollar on the US macroeconomic announcements and Euro-expressed FX rates on Germany macro news during the EU debt crisis and after it. We also provide evidence of leaking news, showing...
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Books on the topic "Huff model"

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Agnew, Dwight. James Huff Stout, maker of models. University of Wisconsin System Board of Regents, 1990.

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Book chapters on the topic "Huff model"

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Wang, Fahui, and Changzhen Wang. "Delineating Hospital Service Areas by the Huff Model." In GIS Automated Delineation of Hospital Service Areas. CRC Press, 2021. http://dx.doi.org/10.1201/9780429260285-5.

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Fernández, Pascual, Blas Pelegrín, Algirdas Lančinskas, and Julius Žilinskas. "The Huff Versus the Pareto-Huff Customer Choice Rules in a Discrete Competitive Location Model." In Computational Science and Its Applications – ICCSA 2018. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-95165-2_41.

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Li, Yuan, Lang He, Junfeng Jiao, and Guoqiang Shen. "Quantitative Study of Housing Price Based on Huff Model and Hedonic Method." In Building Resilient Cities in China: The Nexus between Planning and Science. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-14145-9_17.

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Egorova, Anastasia O., Guzal I. Islamova, Olga I. Kuryleva, Nadezhda L. Sineva, and Elena V. Yashkova. "Evaluation of Trade Turnover of the Shopping Center with the Help of the Huff Model—Theory and Practical Aspects." In Lecture Notes in Networks and Systems. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-15160-7_77.

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"Network Huff Model." In Spatial Analysis along Networks. John Wiley & Sons, Ltd, 2012. http://dx.doi.org/10.1002/9781119967101.ch11.

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Okazaki, Shintaro. "Gender Difference in the Motivations of Mobile Internet Usage." In Mobile Computing. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-60566-054-7.ch160.

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The rapid pace of adoption of Web-enabled mobile handsets in worldwide markets has become an increasingly important issue for information systems professionals. A recent survey indicates that the number of global mobile Internet adopters is expected to reach nearly 600 million by 2008 (Ipsos-Insight, 2004; Probe Group, 2004), while the number of Internet-connected mobile phones will exceed the number of Internet-connected PCs by 2005 (The Economist, 2001). Such drastic convergence of the Internet and the mobile handset has been led by Asian and Scandinavian countries, where penetration has been especially meteoric. For example, roughly 70 million people in Japan, or 55% of the population, have signed up for mobile Internet access, in comparison to 12% in the United States (Faiola, 2004; Greenspan, 2003). Consequently, mobile phones or Keitai have been converted into devices for surfing the Internet, and by 2004 monthly mobile spending per consumer exceeded 35 euro. Much of this success can be traced back to 1999, when NTT DoCoMo introduced the “i-mode” service. i-mode is a mobile service offering continuous Internet access based on packet-switching technology (Barnes &amp; Huff, 2003). Through an i-mode handset, users can access a main micro-browser, which offers such typical services as e-mail, data search, instant messaging, Internet, and “i-menu.” The “i-menu” acts as a mobile portal that leads to approximately 4,100 official and 50,000 unofficial sites (NTT DoCoMo 2003). Many such mobile portal sites can thus be considered as a pull-type advertising platform, where consumers can satisfy diverse information needs. Several researchers have attempted to conceptualize the success of i-mode in comparison to WAP (Baldi &amp; Thaung 2002) and in the light of the technology acceptance model (TAM) (Barnes &amp; Huff 2003). Okazaki (2004) examined factors influencing consumer adoption of the i-mode pull-type advertising platform. However, there is a dearth of empirical research in this area, and especially in developing a model that captures the specific dimensions of mobile Internet adoption. In this respect, this study aims to propose a measurement scale of consumer perceptions of mobile portal sites. The present study adopts, as its principal framework, the attitudinal model suggested by Dabholkar (1994). This includes “ease of use,” “fun,” and “performance” as important determinants of attitude. These are often referred to as “ease of use,” “usefulness,” and “enjoyment” in, for example, the TAM proposed by Davis (1986; Davis, Bagozzi, &amp; Warshaw, 1989, 1992). The relevant literature suggests that dimensions similar to “ease of use” and “fun” are important antecedents of new technology adoption. For example, Shih (2004) and Szymanski and Hise (2000) found “perceived ease of use” and “convenient,” respectively, as important antecedents of online behavior. Likewise, Moon and Kim (2001) found “perceived playfulness” to be a factor influencing WWW usage behavior, similar to the “fun” dimension. However, unlike earlier studies of m-commerce adoption, this study drops the third dimension of the TAM, “usefulness,” in favor of “performance,” because the former is appropriate only for tangible products, but not relevant for technology-based services (Dabholkar &amp; Bagozzi, 2002). In contrast, “performance” represents a dimension that encompasses the reliabilit y and accuracy of the technology-based service, as perceived by the consumer (Dabholkar, 1994). These three dimensions capture customer perceptions, which would initiate the attitude-intention- behavior causal chain (Davis, 1986).
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Rock, Michael T., and David P. Angel. "East Asia’s Sustainability Challenge." In Industrial Transformation in the Developing World. Oxford University Press, 2005. http://dx.doi.org/10.1093/oso/9780199270040.003.0009.

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Since the 1960s, developing Asia has been going through a historically unprecedented process of urbanization and industrialization. This process, which began in East Asia with Japan after World War II (Johnson 1982), then spread first to Korea (Amsden 1989; Rock 1992; Westphal 1978), Taiwan Province of China (Wade 1990), Hong Kong, China (Haggard 1990), and Singapore (Huff 1999) and subsequently to Indonesia (Hill 1996), Malaysia (Jomo 2001), Thailand (Pongpaichit 1980; Rock 1994), and China has spawned enormous interest. While most of the debate surrounding the East Asian development experience has centered on the proximate causes of its development trajectory and the economic and political consequences of this trajectory for the East Asian newly industrializing economies (NIEs), because Asia looms so large in the global economy and ecology, interest has belatedly turned to the environmental consequences of East Asia’s development path and to the political economy of governmental responses to deteriorating environmental conditions in the region (Brandon and Ramankutty 1993; Rock 2002a). The focus on the environment came none too soon. Rapid urbanization, industrialization, and globalization in the East Asian NIEs, when combined with ‘grow first, clean up later’ environmental policies, have resulted in average levels of air particulates approximately five times higher than in OECD countries and twice the world average (Asian Development Bank 1997). Not surprisingly, of the 60 developing country cities on which the World Bank (2004: 164–5) reports urban air quality, 62% (10 of 16) are in developing East Asia, all but one of the rest are in South Asia. Measures of water pollution in East Asia, such as biological oxygen demand (BOD) and levels of suspended solids are also substantially above world averages (Lohani 1998). With the prospect for further rapid urban-industrial growth rooted in the attraction of foreign direct investment and the export of manufactures in East Asia, the rest of Asia, and the rest of the developing world as the East Asian ‘model of development’ spreads, local, regional, and global environmental conditions may well get worse before they get better (Rock et al. 2000). At the core of this environmental challenge in East Asia is rapid urban industrial growth.
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Conference papers on the topic "Huff model"

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Gong, Shuhui, John Cartlidge, Yang Yue, Guoping Qiu, Qingquan Li, and Jingyu Xin. "Geographical Huff Model Calibration using Taxi Trajectory Data." In SIGSPATIAL'17: 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems. ACM, 2017. http://dx.doi.org/10.1145/3151547.3151553.

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Wang, Shengnan, and Meng Li. "Green space system design in Luoyang using Huff model." In Geoinformatics 2008 and Joint conference on GIS and Built Environment: The Built Environment and its Dynamics, edited by Lin Liu, Xia Li, Kai Liu, Xinchang Zhang, and Xinhao Wang. SPIE, 2008. http://dx.doi.org/10.1117/12.812865.

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Arhipova, Irina, Gundars Berzins, Aldis Erglis, Evija Ansonska, Juris Binde, and Andris Kovalcuks. "Huff Model for Shopping Centre Assessment using Aggregated Mobile Phone Data." In 2nd International Conference on Finance, Economics, Management and IT Business. SCITEPRESS - Science and Technology Publications, 2020. http://dx.doi.org/10.5220/0009361400910097.

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Yang, Gang, and Xiaoli Li. "Improved Fluids Characterization Model During Gas Huff-n-Puff EOR Processes in Unconventional Reservoirs." In SPE Western Regional Meeting. SPE, 2021. http://dx.doi.org/10.2118/200873-ms.

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Abstract Despite the great potential of unconventional hydrocarbons, the primary recovery factor from such reservoirs remain low. The gas-injection enhanced oil recovery (EOR) has been proved to be a promising approach by both laboratory and simulation studies. However, the fluid model for characterizing gas and oil in nanoscale pores has not been well understood and developed. Erroneous results can be generated if the bulk fluids model is applied, resulting in a large uncertainty for the numerical simulations. The objective of this work is to propose an improved fluids characterization model tailored for the compositional simulation of gas huff-n-puff in unconventional reservoirs. The Peng-Robinson equation of state (PR EOS) is used as the basic thermodynamic model in this work. Both the attraction parameter and the co-volume parameter in the PR EOS are simultaneously modified for the first time to reflect the effect of molecule-wall interaction and geometric constraints. The collected experimental data are used for validating the model. The newly generated PVT data are imported into the compositional model to numerically simulate the gas huff-n-puff process in the Middle Bakken formation to investigate the influence of modified fluid property on the production and ultimate recovery. The improved fluids characterization model is validated applicable to calculate the confined properties of reservoir fluids. It is demonstrated that the phase envelope of the confined reservoir fluids tends to shrink. At reservoir temperature, the bubble-point pressure of the Middle Bakken oil is reduced by 17.32% with consideration of the confinement effect. Such a significant suppression represents a late occurrence of the gas evaporation, which implies a potentially higher production of the shale oil reservoir. Compositional simulation predicts that the enhanced oil recovery efficiency of CO2 huff-n-puff is unsatisfactory for the specific well in this work, which is also demonstrated in the field pilot test. However, the confinement effect results in a 1.14% elevation of the oil recovery factor in 10 years production. This work not only deepens our understanding of the confinement effect on phase behavior characterization and also shed light on the computation of the thermodynamic properties of hydrocarbons in nanopores. The results also provide practical instructions for the EOR development of unconventional reservoirs.
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5

Lei, Zhou, and An Ye. "Research on location selection of super mall based on GIS Technology and Huff Model." In Proceedings of the International Conference on Economic Management and Green Development (ICEMGD 2018). Atlantis Press, 2018. http://dx.doi.org/10.2991/icemgd-18.2018.33.

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6

Byahut, Sweta, and Jay Mittal. "Huff Inspired Gravity Model in Valuation of homes near Scenic lands -- A geographically weighted regression based hedonic model." In 26th Annual European Real Estate Society Conference. European Real Estate Society, 2019. http://dx.doi.org/10.15396/eres2019_242.

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7

Enab, Khaled, and Hamid Emami-Meybodi. "Impact of Reservoir Fluid and Injection Gas on Shales Huff-N-Puff Performance in the Presence of Diffusion, Sorption, and Hysteresis." In SPE Annual Technical Conference and Exhibition. SPE, 2021. http://dx.doi.org/10.2118/206194-ms.

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Abstract We assess the huff-n-puff performance in ultratight reservoirs (shales) by conducting large-scale numerical simulations for a wide range of reservoir fluid types (retrograde condensate, volatile oil, black oil) and different injection gases (CO2, C2H6, C3H8) by considering relative permeability hysteresis, diffusion, and sorption. A dual-porosity naturally fractured numerical compositional model is used that considers molecular diffusion and sorption to represent the flow mechanisms during the injection process. Killough's method, Langmuir's adsorption model, and Sigmund correlation are utilized to incorporate hysteresis, sorption, and diffusion, respectively. To investigate the impact of the fluid type, we consider three fluid types from Eagle Ford shale representing retrograde condensate, volatile oil, and black oil. We conduct a comprehensive evaluation of the impact of diffusion, sorption, and hysteresis on the production performance and retention of each fluid and injection gas. Eagle Ford formation is selected because it is the most actively developed shale, and it contains a wide span of PVT windows from dry gas to black oil. The simulation results show that the huff-n-puff process improves the oil recovery by 4-6% when 10% PV of gas is injected. The huff-n-puff efficiency increases with reducing gas-oil-ratio (GOR) as oil recovery from low (GOR) reservoirs is doubled, while recovery from retrograde condensate increased by 20%. C2H6 provides the highest recovery for the black and volatile oil, and CO2 provides the highest recovery for retrograde condensate fluid type. Diffusion and sorption are essential mechanisms to be considered when modeling gas injection to any fluid type in shales. However, the relative permeability hysteresis effect is not significant. Neglecting diffusion during the huff-n-puff process underestimates the oil recovery and retention capacity. The diffusion effect on the oil density reduction is observed more during the soaking period. The diffusion impact increases with higher GOR reservoirs, while the sorption impact decreases with higher GOR. The retention capacity of the injected gas decreases with higher GOR. The diffusion impact on the retention capacity increases with higher GOR. Hence sorption and diffusion must be considered when modeling the huff-n-puff process in ultratight reservoirs.
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Akbarian-Saravi, N., R. Tavakkoli-Moghaddam, and Z. Tahaei. "Multi-objective optimization of the competitive supply chain network design based on a huff model." In 2017 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE, 2017. http://dx.doi.org/10.1109/ieem.2017.8290126.

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9

Yang, Gang, and Xiaoli Li. "Improved Equation of State Model for Gas Huff-n-Puff EOR Processes in Unconventional Reservoirs." In Unconventional Resources Technology Conference. American Association of Petroleum Geologists, 2020. http://dx.doi.org/10.15530/urtec-2020-3179.

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10

Wang, Xianjun, Xiangbin Liu, Borui Li, et al. "The Application of the Multi-Component Thermal Fluid Huff and Puff Technology to Daqing Heavy Oil Block." In International Petroleum Technology Conference. IPTC, 2021. http://dx.doi.org/10.2523/iptc-21415-ms.

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Abstract The reservoir of Daqing Heidimiao Oilfield (permeability 1736×10−3μm2) contains heavy oil, with the average viscosity of 3306 mPa•s. It is developed by steam flooding and steam huff and puff, however, the recovery rate is only 14.6%. Therefore, the multi-component thermal fluid huff-and-puff technology is applied to, dealing with pertinent problems such as gas channeling, corrosion and oil pump lock in the process so as to improve oil recovery and production. Mechanism: Cooling by water, the ultra-high temperature gas generated via combustion of diesel or natural gas with air produces a multi-component thermal fluid containing CO2,N2 and vapor, combining the advantages of gas absorption and thermal recovery. Simulation: A multi-component and multi-phase percolation model is built to optimize the huff-and-puff parameters including composition ratio, temperature and injection volume. Supporting techniques: a high temperature oil-and-acid resistant foam system to form a precedent-blocking slug and automatically adjust the huff-and-puff profile. a dedicated low-cost and high-efficiency corrosion inhibitor system to realize corrosion-resistance. a four-node down-hole gas-liquid separation device to increase efficiency. The comprehensive reduced-viscosity rate is more than 30%; high-pressure air chambers, ranging from 0.2 to 2.0MPa, are formed for elastic energy replenishment. Field tests show the average annual oil increase per well is about 3800 barrels, with the highest being about 7200 barrels. The numerical simulation results show that the optimal composition ratio (N2: CO2: vapor) is 5:1:1.5, that the best injection amount is 30∼50×104Nm3 and that the injection temperature is preferably 280 ∼ 300 °C. The oil-and-acid resistant foaming agent has improved recovery efficiency, as a significantly improved profile of gas absorption, and the oil extraction degree increases by about 31.5%. High temperature corrosion is prevented, through intermittent injection of high-temperature-resistant corrosion inhibitor (corrosion inhibition rate 70.5% at 350 °C), and the frequency of pipeline corrosion is reduced averagely by 98.5%. Air-lock in pump vanishes via gas-liquid separation devise, with the average indoor pump efficiency increases by more than 50% (gas-liquid ratio ≤3000m3/m3)and the one in field test increases from less than 20% to over 45%. More importantly, the maintenance period has reached 662d. This technology has been applied to 98 wells in Daqing to date, 95 of which are stimulated successfully. The multi-component thermal fluid huff-and-puff technology solves the problems such as gas channeling, corrosion and air-lock in pumps through supporting techniques and the synergism of steam flooding and thermal recovery to enhance oil recovery and can be used as a superseded technology after steam huff-and-puff treatment to increase the EUR, especially for heavy oil reservoirs with medium and high permeability.
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