Academic literature on the topic 'Neighborhood sorting'
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Journal articles on the topic "Neighborhood sorting"
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Bayer, Patrick, and Robert McMillan. "Tiebout sorting and neighborhood stratification." Journal of Public Economics 96, no. 11-12 (2012): 1129–43. http://dx.doi.org/10.1016/j.jpubeco.2012.02.006.
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Lens, Michael C. "Measuring the geography of opportunity." Progress in Human Geography 41, no. 1 (2016): 3–25. http://dx.doi.org/10.1177/0309132515618104.
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Quantitative segregation research focuses almost exclusively on the spatial sorting of demographic groups. This research largely ignores the structural characteristics of neighborhoods – such as crime, job accessibility, and school quality – that likely help determine important household outcomes. This paper summarizes the research on segregation, neighborhood effects, and concentrated disadvantage, and argues that we should pay more attention to neighborhood structural characteristics, and that the data increasingly exist to include measures of spatial segregation and neighborhood opportunity. The paper concludes with a brief empirical justification for the inclusion of data on neighborhood violence and a discussion on policy applications.
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Epple, Dennis, Michael Peress, and Holger Sieg. "Identification and Semiparametric Estimation of Equilibrium Models of Local Jurisdictions." American Economic Journal: Microeconomics 2, no. 4 (2010): 195–220. http://dx.doi.org/10.1257/mic.2.4.195.
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We develop a new model of household sorting in a system of residential neighborhoods. We show that this model is partially identified without imposing parametric restrictions on the distribution of unobserved tastes for neighborhood quality and the shape of the indirect utility function. The proof of identification is constructive and can be used to derive a new semiparameteric estimator. Our empirical application focuses on residential choices in the Pittsburgh metropolitan area. We find that sorting of households with children exhibit more stratification by income than sorting of households without children. (JEL C51, D12, H41, J12, R21, R23)
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Böhlmark, Anders, and Alexander Willén. "Tipping and the Effects of Segregation." American Economic Journal: Applied Economics 12, no. 1 (2020): 318–47. http://dx.doi.org/10.1257/app.20170579.
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We analyze how neighborhood ethnic population composition affects the short- and long-run education and labor market outcomes of natives and immigrants. To overcome the problem of nonrandom sorting across neighborhoods, we borrow theoretical insights from the tipping point literature and exploit estimated tipping thresholds as instruments for changes in ethnic population composition. Our results provide little evidence in support of the idea that living in a neighborhood with a higher immigrant share leads to worse outcomes. (JEL I20, J15, J24, R23)
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Chen, Xiangming, and Jiaming Sun. "Untangling a Global–Local Nexus: Sorting Out Residential Sorting in Shanghai." Environment and Planning A: Economy and Space 39, no. 10 (2007): 2324–45. http://dx.doi.org/10.1068/a38446.
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The local ‘touchdown’ of globalization gives rise to many complex global–local nexuses, and understanding their nature, structure, and consequences presents a major analytical challenge for globalization research. This paper attempts to untangle one global–local nexus by examining the ‘sorting’ of people into residential or neighborhood spaces in globalizing Shanghai as a function of individual demographic and socioeconomic attributes and by examining personal global connectivity as a key relational variable. We begin with an overview of how local residential differentiation in general and particularly in Shanghai has evolved through the current phase of accelerated globalization and through the city's booming decade of the 1990s. Then, using survey data from the Pudong New Area of Shanghai in 2001, we present a statistical account and analysis of the increasingly varied and layered residential spaces of Shanghai into which people are ‘sorted’ by both internal local and extralocal factors. The analysis shows that, net of a number of demographic and socioeconomic variables, personal global connections have an effect on people living in different neighborhood areas, especially in more expensive and exclusive housing estates. Finally, we discuss the implications of the findings for how the individual-level impact of global connectivity could reinforce local spatiosocial stratification in rapidly globalizing cities like Shanghai.
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Mordechay, Kfir, and Jennifer B. Ayscue. "Policies needed to build inclusive cities and schools." education policy analysis archives 26 (August 6, 2018): 98. http://dx.doi.org/10.14507/epaa.26.3659.
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Race and class segregation have long governed patterns of residential sorting in the American metropolis. However, as urban neighborhoods across the country experience an influx of white and middle-class residents, they could alleviate the stark economic and racial segregation that is ubiquitous to urban neighborhoods and school systems. This paper argues that gentrification is a growing phenomenon with great potential to influence neighborhoods as well as cities and the schools within them. Key steps are discussed that policymakers can take to foster neighborhood and school change that is both inclusive and equitable.
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Pearman, Francis A., and Walker A. Swain. "School Choice, Gentrification, and the Variable Significance of Racial Stratification in Urban Neighborhoods." Sociology of Education 90, no. 3 (2017): 213–35. http://dx.doi.org/10.1177/0038040717710494.
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Racial and socioeconomic stratification have long governed patterns of residential sorting in the American metropolis. However, recent expansions of school choice policies that allow parents to select schools outside their neighborhood raise questions as to whether this weakening of the neighborhood–school connection might influence the residential decisions of higher-socioeconomic-status white households looking to relocate to central city neighborhoods. This study examines whether and the extent to which expanded school choice facilitates the gentrification of disinvested, racially segregated urban communities. Drawing data from the Decennial Census, the American Community Survey, the National Center for Educational Statistics, and the Schools and Staffing Survey, this study finds evidence that college-educated white households are far more likely to gentrify communities of color when school choice options expand. In particular, the expansion of school choice increases the likelihood of gentrification by up to 22 percentage points in the most racially isolated neighborhoods of color—more than twice the baseline likelihood for such communities.
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Liu, Xinyu, Hong Wan, and Li Shi. "Quality Metrics of Spike Sorting Using Neighborhood Components Analysis." Open Biomedical Engineering Journal 8, no. 1 (2014): 60–67. http://dx.doi.org/10.2174/1874120701408010060.
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While an electrode has allowed for simultaneously recording the activity of many neurons in microelectrode extracellular recording techniques, quantitative metrics of cluster quality after sorting to identify clusters suited for single unit analysis are lacking. In this paper, an objective measure based on the idea of neighborhood component analysis was described for evaluating cluster quality of spikes. The proposed method was tested with experimental and simulated extracellular recordings as well as compared to isolation distance and Lratio. The results of simulation and real data from the rodent primary visual cortex have shown that values of the proposed method were related to the accuracy of spike sorting, which could discriminate well- and poorly-separated clusters. It can apply on any study based on the activity of single neurons.
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Caetano, Gregorio. "Neighborhood sorting and the value of public school quality." Journal of Urban Economics 114 (November 2019): 103193. http://dx.doi.org/10.1016/j.jue.2019.103193.
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Shertzer, Allison, and Randall P. Walsh. "Racial Sorting and the Emergence of Segregation in American Cities." Review of Economics and Statistics 101, no. 3 (2019): 415–27. http://dx.doi.org/10.1162/rest_a_00786.
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Residential segregation by race grew sharply during the early twentieth century as black migrants from the South arrived in northern cities. Using newly assembled neighborhood-level data, we provide the first systematic evidence on the impact of prewar population dynamics within cities on the emergence of the American ghetto. Leveraging exogenous changes in neighborhood racial composition, we show that white flight in response to black arrivals was quantitatively large and accelerated between 1900 and 1930. A key implication of our findings is that segregation could have arisen solely from the flight behavior of whites.
Dissertations / Theses on the topic "Neighborhood sorting"
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DE, SANTIS GIOVANNA. "Intra-urban spatial inequalities: neighborhood change and residential mobility dynamics in Turin (1971-2011)." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2019. http://hdl.handle.net/10281/241199.
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La distribuzione non casuale degli individui nello spazio urbano riflette, e in un certo senso rinforza, la loro stratificazione sociale, creando un complesso mosaico di aree residenziali diversificate. La struttura socio-spaziale delle città ha rappresentato uno dei temi centrali della sociologia urbana sin dalla sua fondazione con gli studi dei sociologi della Scuola di Chicago negli anni Venti. L’analisi di “who gets what where” (Lobao et al. 2007) permette di approfondire l’interesse generale per le disuguaglianze sociali, tipico dell’indagine sociologica, focalizzandosi sulla dimensione spaziale. In letteratura è ormai oggi consolidata l’idea per cui, oltre alle caratteristiche individuali, anche il contesto geografico e spaziale ha un ruolo nella strutturazione delle disuguaglianze.
A livello intra-urbano, i quartieri rappresentano la scala a cui prendono forma le disuguaglianze socio-spaziali. La strutturazione socio-spaziale delle città non è tuttavia statica, ma può modificarsi nel tempo. Da un punto di vista macro, evolve come risultato delle trasformazioni nella composizione della popolazione che abita ciascun quartiere, guidate da processi di mobilità residenziale selettiva, cambiamenti in situ o demografici. Da un punto di vista micro, gli individui e le famiglie possono fare esperienza di diversi tipi di quartiere, non solo perché le caratteristiche delle aree urbane in cui vivono si modificano nel tempo, ma anche come conseguenza di eventi di mobilità residenziale che li portano ad uscire ed entrare in quartieri con diversi profili.
Questa tesi affronta, a partire da un framework metodologico che si è sviluppato recentemente, entrambe queste dinamiche. L’obiettivo è quello di contribuire alla letteratura sulle disuguaglianze spaziali intra-urbane attraverso un’analisi descrittiva ed esplorativa dei processi di cambiamento di quartiere e di mobilità residenziale a Torino, tenendo conto dell’intera gamma dei tipi di quartieri esistenti, senza concentrarsi quindi solamente sui quelli nelle posizioni più alte o basse della gerarchia urbana. In primo luogo si è elaborata una tipologia di quartieri articolata in sette classi, a partire dalle caratteristiche demografiche, socio-economiche e relative all’abitazione dei residenti in ciascun quartiere. Utilizzando tecniche di sequence analysis sono inoltre state identificate le più frequenti traiettorie di quartiere di lungo periodo, mappandole per poterne analizzare la distribuzione spaziale. Inoltre, si sono esplorati i movimenti residenziali intra-urbani analizzando la propensità al movimento a partire da un set di caratteristiche individuali e familiari. Particolare attenzione è stata dedicata alla probabilità di migliorare, peggiorare o di non modificare il tipo di quartiere di residenza, definito a partire dal profilo di maggiore o minore svantaggio relativo rispetto agli altri tipi di quartieri che costituiscono la gerarchia urbana.
Il focus sulle dinamiche di lungo periodo contribuisce a migliorare la comprensione di questi processi che raramente sono stati studiati con una tale profondità temporale. Infine, in questo lavoro si è scelto di utilizzare un’unità spaziale di analisi a grana molto fine (sezioni di censimento) che ha permesso di investigare le disuguaglianze spaziali intra-urbane in modo molto dettagliato, rivelando la complessità della struttura socio-spaziale della città e fino a che punto questa sia rimasta stabile o si sia invece modificata nel corso dei decenni.<br>The non-random distribution of individuals within cities reflects, and to some extent reinforces, their social distance and stratification, creating a complex mosaic of distinctive residential areas. The city socio-spatial arrangement has been a central issue in urban sociology since the traditional studies of the Chicago school scholars in the 1920’s. The study of “who gets what where” (Lobao et al. 2007) enhances the more general interest for social inequalities which is at the core of sociological investigation, by focusing on its spatial dimension. Research has indeed acknowledged the importance of geography and place, and there is now a widespread consensus in the literature about the statement that where you live matters in addition to who you are. In this regard, neighborhoods represent the scale at which the intra-urban structure of social inequalities arises. The urban socio-spatial organization, however, is not static but changes over time. From a macro level point of view, it evolves as a result of the transformation of neighborhood population composition, driven by processes of selective residential mobility, in situ and demographic changes. From a micro level point of view, individuals and households may experience a discontinuity in neighborhood characteristics not only because the area where they live changes over time, but also as a consequence of their residential movements in and out of different neighborhood types.
This dissertation addresses, drawing on recent methodological advances, these two issues. It aims to contribute to the literature on neighborhood inequality by providing a descriptive and explorative analysis of neighborhood change and residential mobility in Turin (Italy), by accounting for the entire spectrum of neighborhoods, rather than considering only those at the bottom or the top of the urban hierarchy. A seven-class neighborhood typology is developed starting from the demographic, socio-economic and housing characteristics of neighborhood residents, and, by using sequences analysis techniques, several neighborhood trajectories are identified and mapped. The residents’ likelihood of intra-urban residential mobility is also explored, accounting for the probability of not changing, improving or worsening neighborhood quality, defined in terms of its relative socio-economic compositional attributes, when moving.
The focus on long-term dynamics contributes to enhance the understanding of these processes which very rarely have been studied with a comparable temporal perspective. Finally, in this work a very small spatial scale of analysis has been used (census block, “sezione di censimento”) which allows to investigate neighborhood inequality in a very detailed manner and to reveal how cities are socially and spatially patterned as well as to what extent this structure tends to persist or evolve over time.
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Blind, Ina. "Essays on Urban Economics." Doctoral thesis, Uppsala universitet, Nationalekonomiska institutionen, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-260898.
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This thesis consists of four self-contained essays. Essay 1 (with Olof Åslund and Matz Dahlberg): In this essay we investigate the impact of commuter train access on individual labor market outcomes. Our study considers the exogenous introduction of a commuter train linking locations in the northern part of Uppsala County (Sweden) to the regional employment center, considerably decreasing commuting times by public transit to the center for those living close to the pre-existing railroad. Using difference-in-differences matching techniques on comprehensive individual panel data spanning over a decade, our intention-to-treat estimates show that the reform had mainly no impact on the earnings and employment development among the affected individuals. Essay 2: In this essay I look into the role of public transit for residential sorting by studying how the introduction of a commuter train linking locations in the northern part of Uppsala County (Sweden) to the regional employment center affected migration patterns in the areas served. Using a difference-in-difference(-in-difference) approach and comprehensive individual level data, I find that the commuter train had a positive effect on overall in-migration to the areas served and no effect on the average out-migration rate from these areas. With regards to sorting based on labor market status, I find no evidence of sorting based on employment status but some evidence that the train introduction increased the probability of moving out of the areas served for individuals with high labor incomes relative to the probability for individuals with lower income. Considering sorting along other lines than labor market status, the analysis suggests that people born in non-western countries came to be particularly attracted towards the areas served by the commuter train as compared to other similar areas. Essay 3: In this essay I look into the relation between housing mix and social mix in metropolitan Stockholm (Sweden) over the period 1990-2008. Using entropy measures, I find that although the distribution of tenure types over metropolitan Stockholm became somewhat more even over the studied period, people living in different tenure types still to a large extent tended to live in different parts of the city in 2008. The degree of residential segregation was much lower between different population groups. I further find that the mix of family types, and over time also of birth region groups and income groups, was rather different between different tenure types in the same municipality. The mix of different groups however tended to be similar within different tenure types in the same neighborhood. While the entropy measures provide a purely descriptive picture, the findings thus suggest that tenure type mix could be more useful for creating social mix at the municipal level than for creating social mix at the neighborhood level. Essay 4 (with Matz Dahlberg): The last decade’s immigration to western European countries has resulted in a culturally and religiously more diverse population in these countries. This diversification manifests itself in several ways, where one is through new features in the cityscape. Using a quasi-experimental approach, essay 4 examines how one such new feature, public calls to prayer, affects neighborhood dynamics (house prices and migration). The quasi-experiment is based on an unexpected political process that lead way to the first public call to prayer from a mosque in Sweden combined with rich (daily) information on housing sales. While our results indicate that the public calls to prayer increased house prices closer to the mosque, we find no evidence that the public calls to prayer served as a driver of residential segregation between natives and people born abroad around the mosque in question (no significant effects on migration behavior). Our findings are consistent with a story where some people have a willingness to pay for the possibility to more fully exert their religion which puts an upward pressure on housing in the vicinity of a mosque with public calls to prayer.
Books on the topic "Neighborhood sorting"
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Bayer, Patrick J. Racial sorting and neighborhood quality. National Bureau of Economic Research, 2005.
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Waldfogel, Joel. The median voter and the median consumer: Local private goods and residential sorting. National Bureau of Economic Research, 2006.
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Bayer, Patrick J. Identifying individual and group effects in the presence of sorting: A neighborhood effects application. National Bureau of Economic Research, 2006.
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Bayer, Patrick. Identifying individual and group effects in the presence of sorting: A neighborhood effects application. National Bureau of Economic Research, 2006.
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Banzhaf, H. Spencer. Segregation and tiebout sorting: Investigating the link between investments in public goods and neighborhood tipping. National Bureau of Economic Research, 2010.
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Kremer, Michael. How much does sorting increase inequality? National Bureau of Economic Research, 1996.
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Prezelj, Corinne. L'intelligence des banlieues: Les réseaux pour sortir de la crise. IFIE éditions, 2007.
Find full textBook chapters on the topic "Neighborhood sorting"
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Gao, Chenglin, and Shuo Tong. "Research on the Design of Community Residential Space from the Perspective of Digitization." In Proceeding of 2021 International Conference on Wireless Communications, Networking and Applications. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2456-9_56.
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AbstractThe residential architecture in the process of urban digital development has become a living complex with real and virtual mirrors, in which people are the unity of connection between spatial environment, identity and living relationship. In this paper, the new value orientation of community residential design is analyzed by sorting out the meaning of community; within the design system of residential space, the intimacy and public consciousness of residents’ neighborhood relationship is enhanced through spatial transition and cultivation of shared living space. The argument is developed from three levels: individual residents’ self-reconstruction, residents’ new behavioral decisions, and spatial behavioral output. Through a series of argumentation, the relationship between community and residential space planning and design is explored, and the data on the interaction between users, usage behavior and space usage of different households are statistically obtained. At the same time, this paper simulates and designs the community residential space module system based on this data and combined with the computer 3D model derivation. The residential block formed by the combination of the smallest modules, as the smallest residential unit, continues to form the design path of a sustainable residential system through the process of combination and deformation of space.
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Talen, Emily. "Neighborhoods and Segregation." In Neighborhood. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190907495.003.0009.
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This chapter reviews the final, and most significant, debate about the neighborhood: its association with social segregation. Many have argued that the delineation of neighborhood is by definition a form of exclusion, and that if neighborhoods weren’t identified in the first place, there would be less emphasis on social sorting and who is “in” and “out” of the neighborhood. There is no denying that the neighborhood, especially the planned neighborhood unit, was and is associated with segregation, sometimes explicitly. Proposed resolutions of this debate are (a) to make neighborhood-scale social diversity an explicit policy goal and (b) to look for ways to successfully integrate smaller, more homogeneous neighborhoods set within larger, heterogeneous districts. In both cases, it is again the physically defined neighborhood rather than the socially differentiated neighborhood that provides an identity through which diversity can be embraced.
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"Household Sorting and Neighborhood Amenities." In World Scientific Lecture Notes in Economics. WORLD SCIENTIFIC, 2017. http://dx.doi.org/10.1142/9789813222205_0024.
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Baker, Andy, Barry Ames, and Lúcio Rennó. "Neighborhoods and Cities as Arenas of Social Influence." In Persuasive Peers. Princeton University Press, 2020. http://dx.doi.org/10.23943/princeton/9780691205779.003.0005.
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This chapter examines the relationship between political discussion and the geography of the vote. Social influences induce many citizens to cast votes that differ from the ones they would have cast if they lived elsewhere. The chapter considers neighborhood effects on vote choice in two Brazilian cities. Nearly two-thirds of discussion partners in the two cities are residents of the same neighborhood. Neighborhoods with a stable and relatively homogeneous partisan leaning assimilate, over the course of a campaign, initially disagreeing residents toward that leaning. The chapter then shows that this effect occurs through discussion between neighborhood coresidents in the politically polarized city of Caxias do Sul. In other words, the clustering of political preferences by neighborhood in Caxias is partly due to social influences and not, as in the case of the United States, mere self-sorting . By contrast, the same level of political discussion in Juiz de Fora, a less polarized city where the partisan leanings of neighborhoods are amorphous, yields no assimilation effect.
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Ioannides, Yannis M. "Location Decisions of Individuals and Social Interactions." In From Neighborhoods to Nations. Princeton University Press, 2012. http://dx.doi.org/10.23943/princeton/9780691126852.003.0003.
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This chapter examines the location decisions of individuals, with particular emphasis on neighborhood effects in housing markets and how they relate to the role of prices in rationing admission to communities and neighborhoods in market economies. It begins by introducing models of individual location decisions that rely on the characteristics approach in the presence of contextual effects and use individual dwelling units as the object of choice. It then presents examples of sorting models that allow for choice of neighborhood with endogenous contextual effects, followed by a discussion of models and associated empirical results for neighborhood choice and housing as a joint decision that allow for social effects. It also describes models of location decisions, proposed by Thomas Schelling, that take into account the influence of racial preferences and neighbors' reactions. Finally, it looks at hierarchical models of community choice with social interactions.
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Offner, Amy C. "Private Homes and Economic Orders." In Sorting Out the Mixed Economy. Princeton University Press, 2019. http://dx.doi.org/10.23943/princeton/9780691190938.003.0004.
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This chapter discusses private homes in Latin America. The largest housing project built in Latin America under the Alliance for Progress was a private homeownership venture. Ciudad Kennedy, or Kennedy City, grew up on the outskirts of Bogotá during the early 1960s, a sprawling complex of private homes and apartments designed to house 84,000 people. The promise of private property ownership fascinated everyone involved in the undertaking. Nearly four decades later, an original resident of Superblock 7 explained the origins of his neighborhood by digging up a newspaper ad from 1962. Ciudad Kennedy became an international exemplar of “aided self-help housing,” a characteristic policy of mid-century developmentalism. Deployed in mixed economies worldwide, the program assigned governments the tasks of titling land, extending mortgage loans, supplying materials, and supervising construction while recipients built the housing and became property owners.
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Lopez-Aguado, Patrick. "The Carceral Social Order and the Structuring of Neighborhood Criminalization." In Stick Together and Come Back Home. University of California Press, 2018. http://dx.doi.org/10.1525/california/9780520288584.003.0007.
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This chapter explores how the carceral social order has become an authoritative framework for labeling poor youth of color as criminal gang members. As punitive institutions rely on this system to organize the facility, it structures a prevailing assumption that youth are involved in gangs and that the forms of creative expression that they practice are examples of gang activity. But this system also shapes how police label youth in the neighborhood. In instances of “polarized labeling,” in which young people are assumed to be loyal to one side or the other of local rivalries, the sorting process essentially begins the first time youth are stopped in the street by police. Within the context of a neoliberal California, this criminal labeling functions to frame youth, their families, and communities as economic burdens and social threats who need to be punitively managed. I argue that this rationalizes the mass incarceration of poor communities of color by defining these spaces as “gang-infested” neighborhoods that require aggressive policing and surveillance, subsequently marking residents as appropriate targets for imprisonment.
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"HEDONIC MARKETS AND SORTING EQUILIBRIA: BID-FUNCTION ENVELOPES FOR PUBLIC SERVICES AND NEIGHBORHOOD AMENITIES." In Housing and Commuting: The Theory of Urban Residential Structure. WORLD SCIENTIFIC, 2017. http://dx.doi.org/10.1142/9789813206670_0018.
Full textConference papers on the topic "Neighborhood sorting"
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Shijie, Zhou, and Lou Yuanshen. "An Optimal Strategy of Sorting Neighborhood Method." In 2021 6th International Symposium on Computer and Information Processing Technology (ISCIPT). IEEE, 2021. http://dx.doi.org/10.1109/iscipt53667.2021.00165.
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Wang, Shengwu, Hongmei Chen, and Xin Fan. "Fast Algorithm for Neighborhood Entropy and Neighborhood Mutual Information Based on Column Sorting." In 2019 IEEE 14th International Conference on Intelligent Systems and Knowledge Engineering (ISKE). IEEE, 2019. http://dx.doi.org/10.1109/iske47853.2019.9170397.
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Li, Mengmeng, Zhigang Shang, Xiaoyang Shen, et al. "Sample Set Reduction Method Based on Neighborhood Non-Dominated Crowding-Distance Sorting." In 2018 11th International Symposium on Computational Intelligence and Design (ISCID). IEEE, 2018. http://dx.doi.org/10.1109/iscid.2018.10120.
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Salehi, Amir, Hamed Darabi, and Amir Kianinejad. "Machine Learning-Based Horizontal Well Placement Optimization Leveraging Geological and Engineering Attributes." In ADIPEC. SPE, 2022. http://dx.doi.org/10.2118/211371-ms.
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Abstract Horizontal wells provide a highly efficient way to maximize contact with the reservoir target and to increase overall recovery by allowing a larger drainage pattern. Traditionally, the identification of optimal horizontal well locations involves domain expertise across multiple disciplines and takes a long time to complete. In this work, a fully streamlined artificial intelligence (AI)-based workflow is introduced to facilitate horizontal opportunity identification by combining geological and engineering attributes in all types of reservoirs. This workflow relies on automated geologic and engineering workflows to map the remaining oil in place and identify areas with high probability of success (POS) and high productivity potential. Advanced computational algorithms are implemented under a variety of physical constraints to identify best segments for placing the wellbores. Statistical and machine learning techniques are combined to assess neighborhood performance and geologic risks, along with forecasting the future production performance of the proposed targets. Finally, a comprehensive vetting and sorting framework is presented to ensure the final set of identified opportunities are feasible for the field development plan. The workflow incorporates multiple configuration and trajectory constraints for the horizontal wells' placement, such as length/azimuth/inclination range, zone-crossing, fault-avoidance, etc. The optimization engine is initialized with an ensemble of initial guesses generated with Latin-Hypercube Sampling (LHS) to ensure all regions of good POS distribution in the model are evenly considered. The intelligent mapping between discrete grid indexing and continuous spatial coordinates greatly reduced the timing and computational resources required for the optimization, thus enabling a fast determination of target segments for multimillion-cell models. The optimization algorithm identifies potential target locations with 3D pay tracking globally, and the segments are further optimized using an interference analysis that selects the best set of non-interfering targets to maximize production. This framework has been successfully applied to multiple giant mature assets in the Middle East, North and South America, with massive dataset and complexity, and in situations where static and dynamic reservoir models are unavailable, partially available, or are out of date. In the specific case study presented here, the workflow is applied to a giant field in the Middle East where tens of deviated or horizontal opportunities are initially identified and vetted. The methodology presented turns the traditional labor-intensive task of horizontal target identification into an intelligently automated workflow with high accuracy. The implemented optimization engine, along with other features highlighted within, has enabled a lightning-fast, highly customizable workflow to identify initial opportunity inventory under high geological complexity and massive dataset across different disciplines. Furthermore, the data-driven core algorithm minimizes human biases and subjectivity and allows for repeatable analysis.
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Salehi, Amir, Izzet Arslan, Lichi Deng, et al. "A Data-Driven Workflow for Identifying Optimum Horizontal Subsurface Targets." In SPE Annual Technical Conference and Exhibition. SPE, 2021. http://dx.doi.org/10.2118/205837-ms.
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Abstract Horizontal well development often increases field production and recovery due to increased reservoir contact, reduced drawdown in the reservoir, and a more efficient drainage pattern. Successful field development requires an evergreen backlog of opportunities that can be pursued, which is extremely challenging and laborious to generate using traditional workflows. Here, we present a data-driven methodology to automatically deliver a feasible, actionable inventory by combining geological knowledge, reservoir performance, production history, completion information, and multi-disciplinary expertise. This technology relies on automated geologic and engineering workflows to identify areas with high relative probability of success (RPOS) and therefore productivity potential. The workflow incorporates multiple configuration and trajectory constraints for placement of the horizontal wells, such as length/azimuth/inclination range, zone-crossing, fault-avoidance, etc. The optimization engine is initialized with an ensemble of initial guesses generated with Latin-Hypercube Sampling (LHS) to ensure all regions of POS distribution in the model are evenly considered. The advanced optimization algorithm identifies potential target locations with 3D pay tracking globally, and the segments are further optimized using an interference analysis that selects the best set of non-interfering targets to maximize production. Advanced AI-based computational algorithms are implemented under numerous physical constraints to identify the best segments that maximize the RPOS. Statistical and machine learning techniques are combined to assess neighborhood performance and geologic risks, along with physics-based analytical and upscaled parametric models to forecast phase-based production and pressure behavior. Finally, a comprehensive vetting and sorting framework is presented to ensure the final set of identified opportunities is feasible for the field development plan, given the operational constraints. This methodology has been successfully applied to a mature field in the Middle East with more than 90 vertical well producers and 50 years of production history to identify horizontal target opportunities. Rapid decline in oil production and a subpar recovery factor were the primary incentives behind switching to horizontal development. The search covered both shorter laterals accessible as a side-track from existing wells to minimize water encroachment, and longer laterals that could be drilled as new wells. After filtering based on geo-engineering attributes and rigorous vetting by domain experts, the final catalog consisted of 32 horizontal targets. After careful consideration, the top five candidates were selected for execution in the short term with an estimated total oil gain of 40,000 STB/D. The introduced AI-based methodology has many advantages over traditional simulation-centric workflows that take months to build and calibrate a model. This framework automates steps typically performed during the selection of horizontal well candidates by applying advanced algorithms and AI/ML to multi-disciplinary datasets. This enables teams to rapidly run and review different scenarios, ultimately leading to better risk management and shorter decision cycles with more than 90% speedup compared to conventional workflows.
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Deng, Lichi, Amir Salehi, Wassim Benhallam, Hamed Darabi, and David Castiñeira. "Artificial-Intelligence Based Horizontal Well Placement Optimization Leveraging Geological and Engineering Attributes, and Expert-Based Workflows." In SPE Conference at Oman Petroleum & Energy Show. SPE, 2022. http://dx.doi.org/10.2118/200069-ms.
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Abstract Horizontal wells provide a highly efficient way to maximize contact with the reservoir target and to increase overall recovery by allowing a larger drainage pattern. Traditionally, the identification of optimal horizontal well locations involves domain expertise across multiple disciplines and takes a long time to complete. In this work, a fully streamlined artificial intelligence (AI)-based workflow is introduced to facilitate horizontal opportunity identification by combining geological and engineering attributes in all types of reservoirs. This workflow relies on automated geologic and engineering workflows to map the remaining oil in place and identify areas with high probability of success (POS) and high productivity potential. Advanced computational algorithms are implemented under a variety of physical constraints to identify best segments for placing the wellbores. Statistical and machine learning techniques are combined to assess neighborhood performance and geologic risks, along with forecasting the future production performance of the proposed targets. Finally, a comprehensive vetting and sorting framework is presented to ensure the final set of identified opportunities are feasible for the field development plan. The workflow incorporates multiple configuration and trajectory constraints for the horizontal wells’ placement, such as length/azimuth/inclination range, zone-crossing, fault-avoidance, etc. The optimization engine is initialized with an ensemble of initial guesses generated with Latin-Hypercube Sampling (LHS) to ensure all regions of good POS distribution in the model are evenly considered. The intelligent mapping between discrete grid indexing and continuous spatial coordinates greatly reduced the timing and computational resources required for the optimization, thus enabling a fast determination of target segments for multi- million-cell models. The optimization algorithm identifies potential target locations with 3D pay tracking globally, and the segments are further optimized using an interference analysis that selects the best set of non-interfering targets to maximize production. This framework has been successfully applied to multiple giant mature assets in the Middle East, North and South America, with massive dataset and complexity, and in situations where static and dynamic reservoir models are unavailable, partially available, or are out of date. In the specific case study presented here, the workflow is applied to a giant field in the Middle East where tens of deviated or horizontal opportunities are initially identified and vetted. The methodology presented turns the traditional labor-intensive task of horizontal target identification into an intelligently automated workflow with high accuracy. The implemented optimization engine, along with other features highlighted within, has enabled a lightning-fast, highly customizable workflow to identify initial opportunity inventory under high geological complexity and massive dataset across different disciplines. Furthermore, the data-driven core algorithm minimizes human biases and subjectivity and allows for repeatable analysis.
Reports on the topic "Neighborhood sorting"
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Bayer, Patrick, and Robert McMillan. Tiebout Sorting and Neighborhood Stratification. National Bureau of Economic Research, 2011. http://dx.doi.org/10.3386/w17364.
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Bayer, Patrick, and Robert McMillan. Racial Sorting and Neighborhood Quality. National Bureau of Economic Research, 2005. http://dx.doi.org/10.3386/w11813.
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Sun, Pu. Reproduction of 'Sorting or Steering: The Effects of Housing Discrimination on Neighborhood Choice'. Social Science Reproduction Platform, 2022. http://dx.doi.org/10.48152/ssrp-jtn0-dq40.
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Bayer, Patrick, and Stephen Ross. Identifying Individual and Group Effects in the Presence of Sorting: A Neighborhood Effects Application. National Bureau of Economic Research, 2006. http://dx.doi.org/10.3386/w12211.
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Banzhaf, H. Spencer, and Randall Walsh. Segregation and Tiebout Sorting: Investigating the Link between Investments in Public Goods and Neighborhood Tipping. National Bureau of Economic Research, 2010. http://dx.doi.org/10.3386/w16057.
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Altonji, Joseph, and Richard Mansfield. Group-Average Observables as Controls for Sorting on Unobservables When Estimating Group Treatment Effects: the Case of School and Neighborhood Effects. National Bureau of Economic Research, 2014. http://dx.doi.org/10.3386/w20781.
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