scholarly journals EXPLORATORY FAVORABILITY CLASSIFICATION USING WEIGHTS OF EVIDENCE: A CASE STUDY IN SERGIPE-ALAGOAS BASIN, BRAZIL

2016 ◽  
Vol 34 (1) ◽  
pp. 33
Author(s):  
Bernardo Faria de Almeida ◽  
Renato Lopes Silveira ◽  
Elaine Maria Lopes Loureiro ◽  
Edilson Fernandes de Arruda
Keyword(s):  
Essential Elements ◽  
Weights Of Evidence ◽  
Data Driven ◽  
Mineral Potential ◽  
Petroleum Systems ◽  
Use Of Data ◽  
Geological Information ◽  
Weights Of Evidence Methodology ◽  
Areas Of Interest

ABSTRACT. This article discusses the importance of the favorability evaluation, proposed in data-driven mineral potential maps (MPM), for decision-making in exploratory activities of petroleum and natural gas. We consider geophysical and geological information as evidences that define the essential elements of a petroleum system. We assess such evidences by means of weights of evidence methodology, which makes use of data coming from hydrocarbon discovering wells. We apply the proposed assessment in a case study in Sergipe-Alagoas and employ the results to classify areas of interest in different favorability levels. Keywords: petroleum systems, favorability maps, mineral potential maps, Sergipe-Alagoas basin. RESUMO. Este artigo discute a importância da avaliação de favorabilidades propostas em mapas de potencial mineral, baseados em dados (data-driven), para as tomadas de decisões em atividades exploratórias de petróleo e gás natural. Nós consideramos as informações geológicas e geofísicas como evidências que definem os elementos essenciais de um sistema petrolífero. Avaliamos as evidências através da metodologia de pesos de evidências (weights of evidence), a qual faz uso de dados obtidos a partir de poços descobridores de hidrocarbonetos. Aplicamos a avaliação proposta em um estudo de caso na bacia de Sergipe-Alagoas e empregamos os resultados obtidos para classificar a área de interesse em diferentes níveis de favorabilidade. Palavras-chave: sistemas petrolíferos, mapas de favorabilidade, mapas de potencial mineral, bacia de Sergipe-Alagoas.

EXPLORATORY FAVORABILITY CLASSIFICATION USING WEIGHTS OF EVIDENCE: A STUDY CASE IN SERGIPE-ALAGOAS BASIN, BRAZIL

2016 ◽  
Vol 34 (1) ◽  
Author(s):  
Bernardo Faria de Almeida ◽  
Renato Lopes Silveira ◽  
Elaine Maria Lopes Loureiro ◽  
Edilson Fernandes de Arruda
Keyword(s):  
Essential Elements ◽  
Weights Of Evidence ◽  
Data Driven ◽  
Mineral Potential ◽  
Petroleum Systems ◽  
Use Of Data ◽  
Geological Information ◽  
Weights Of Evidence Methodology ◽  
Areas Of Interest

ABSTRACT. This article discusses, in the case of petroleum and natural gas exploration, the importance of the favorability evaluation, proposed in data-driven mineral potential maps (MPM), for decision-making in exploratory activities. We consider geophysical and geological information as evidences that define the essential elements of a petroleum system. We assess such evidences by means of weights of evidence methodology, which makes use of data coming from hydrocarbon discovering wells. We apply the proposed assessment in a case study in Sergipe-Alagoas and employ the results to classify areas of interest in different favorability levels.Keywords: petroleum systems, favorability maps, mineral potential maps, Sergipe-Alagoas basin.RESUMO. Este artigo discute, para o caso de exploração de petróleo e gás natural, a importância da avaliação de favorabilidades, propostas em mapas de potencial mineral baseados em dados (data-driven ) para as tomadas de decisões em atividades exploratórias. Nós consideramos as informações geológicas e geofísicas como evidências que definemos elementos essenciais de um sistema petrolífero. Avaliamos as evidências através dametodologia de pesos de evidências (weights of evidence ), a qual faz uso de dados obtidos a partir de poços descobridores de hidrocarbonetos. Aplicamos a avaliação proposta em um estudo de caso na bacia de Sergipe-Alagoas e empregamos os resultados obtidos para classificar a área de interesse em diferentes níveis de favorabilidade.Palavras-chave: sistemas petrolíferos, mapas de favorabilidade, mapas de potencial mineral, bacia de Sergipe-Alagoas.

scholarly journals Data-Driven Campaigning in the 2015 United Kingdom General Election

2017 ◽  
Vol 22 (3) ◽  
pp. 294-313 ◽  
Author(s):  
Nick Anstead
Keyword(s):  
United Kingdom ◽  
The United States ◽  
General Election ◽  
Data Driven ◽  
British Politics ◽  
Use Of Data ◽  
The Uk ◽  
Depth Interviews

While we know something of data-driven campaigning practices in the United States, we know much less about the role of data in other national contexts. The 2015 United Kingdom General Election offers an important case study of how such practices are evolving and being deployed in a different setting. This article draws on thirty-one in-depth interviews with political practitioners involved in the use of data for six major UK parties and electoral regulators. These interviews are employed to explore the perceived importance of data in contemporary British campaigns, to understand the data-based campaign techniques being used by UK parties, and to assess how data-driven practices are interacting with the preexisting institutional context of British politics. Going beyond the specifics of the UK case, this study raises questions about the comparative, theoretical, and normative dimensions of data-driven politics.

scholarly journals Data-driven Application of PHM to Asset Strategies

2018 ◽  
Vol 10 (1) ◽  
Author(s):  
Sarah Lukens ◽  
Matt Markham
Keyword(s):  
Data Analytics ◽  
Failure Modes ◽  
Health Management ◽  
Data Driven ◽  
Work Processes ◽  
Industrial Companies ◽  
Use Of Data ◽  
Reliability Centered Maintenance ◽  
Daunting Challenge

There are many benefits from implementing a prognostics and health management (PHM) initiative in an industrial facility, such as realizing potentials from reducing unplanned downtime and increased asset efficiency. Many industrial companies would like to take advantage of PHM technologies and algorithms to meet their business objectives, but identifying how to get started can be a daunting challenge. The classical approach is to begin with a Reliability Centered Maintenance (RCM) program supported by failure modes and effects analysis (FMEA) where all possible failure modes, their risks, and mitigating actions are evaluated in the context of asset function. In this framework, application of PHM technologies is viewed as a maintenance strategy effective at mitigating certain failure modes in specific cases that are both feasible and costeffective. However, there are many challenges and limitations to traditional RCM where data-driven analytics embedded in these work processes can help overcome and/or automate. On the other hand, the use of data-driven approaches introduces new challenges surrounding available data, data quality, and identifying numerical methods that are scalable across large datasets. In this paper, we present a case study applied to historical maintenance data for identifying and prioritizing where to start a PHM initiative, and discuss the work processes and various challenges encountered when embedding data analytics in classical reliability approaches.

scholarly journals Data driven parametric design

2011 ◽  
Vol 2 (7) ◽  
pp. 49
Author(s):  
Ferdinand Facklam ◽  
Felipe Pecegueiro do Amaral Curado
Keyword(s):  
Design Process ◽  
Parametric Design ◽  
Digital Fabrication ◽  
Geometric Shape ◽  
Data Driven ◽  
Systematic Procedure ◽  
Use Of Data ◽  
Sensory Process

The focus of this paper is that we want to give a brief introduction about the idea of Parametric Design (PD) and the use of data to inform the design process. The digital fabrication is not covered in detail in this document. In the case study “Live Building” explains a sensory process. The project shows how to collect data, transformed and transported into a shape. Innovation is not only the approach of the draft, but the systematic procedure and the resulting diversity of solutions. The search for the geometric shape and the key to the concept will be answered in detail.

The Use of Data-Driven Personas to Facilitate Organizational Adoption – A Case Study

2017 ◽  
Vol 20 (3) ◽  
pp. 357-374 ◽  
Author(s):  
Tomasz Miaskiewicz ◽  
Coryndon Luxmoore
Keyword(s):  
Data Driven ◽  
Organizational Adoption ◽  
Use Of Data

scholarly journals The Transformation Process of the University into a Data Driven Organisation and Advantages It Brings: Qualitative Case Study

2021 ◽  
Vol 13 (22) ◽  
pp. 12611
Author(s):  
Ignacio Carnicero ◽  
Cristina González-Gaya ◽  
Víctor F. Rosales
Keyword(s):  
Decision Making ◽  
Qualitative Case Study ◽  
Transformation Process ◽  
Data Driven ◽  
Case Study Methodology ◽  
Use Of Data ◽  
Study Methodology ◽  
The University ◽  
Inductive Analysis

The use of data in decision-making has become prevalent in all sectors, including education. The present paper analyses the steps necessary for a university to become a data-driven organisation and the advantages this transformation has to offer, both in teaching and in management. A qualitative case study methodology was used with a thematic inductive analysis with two groups of participants. The results are a methodology for transformation, identifying the barriers that may arise and actions necessary to overcome them and the advantages the use of data has to offer the university.

Alibaba's International Digital Marketing Practices and Strategies

2021 ◽  
pp. 80-98
Author(s):  
Sue Claire Berning
Keyword(s):  
Business Models ◽  
Online Advertising ◽  
Data Driven ◽  
Digital Marketing ◽  
Study Approach ◽  
Use Of Data ◽  
Adaptive Capabilities ◽  
Chinese Company ◽  
Main Relationship

In this chapter, the main relationship between a company's use of data-driven methods and its international digital marketing strategies are examined. In particular, the question of how data-driven methods, like consumer analytics, helped the company in its internationalization efforts are outlined. By following the case study approach, the diverse digital business models, online advertising campaigns, and international digital marketing practices of the Chinese company Alibaba are investigated. As China's e-commerce market currently became one of the most dynamic ones in the world, and as Alibaba is one of the leading internet and e-commerce corporations worldwide, valuable insights are provided. Moreover, Alibaba's international digital marketing practices, underlying strategies, as well as adaptive capabilities are systematically analyzed. In addition, Alibaba's competitive behavior is investigated and compared with international companies and peers. In this context, the standardization versus adaptation paradigm is also revisited.

The impact of Airbnb on a non-touristic city. A Case study of short-term rentals in Santa Cruz de Tenerife (Spain)

Erdkunde ◽  
2020 ◽  
Vol 74 (3) ◽  
pp. 191-204
Author(s):  
Marcus Hübscher ◽  
Juana Schulze ◽  
Felix zur Lage ◽  
Johannes Ringel
Keyword(s):  
Santa Cruz ◽  
Short Term ◽  
Rental Market ◽  
Rural Space ◽  
Use Of Data ◽  
Web Scraping ◽  
Per Capita ◽  
Per Se ◽  
The Impact

Short-term rentals such as Airbnb have become a persistent element of today’s urbanism around the globe. The impacts are manifold and differ depending on the context. In cities with a traditionally smaller accommodation market, the impacts might be particularly strong, as Airbnb contributes to ongoing touristification processes. Despite that, small and medium-sized cities have not been in the centre of research so far. This paper focuses on Santa Cruz de Tenerife as a medium-sized Spanish city. Although embedded in the touristic region of the Canary Islands, Santa Cruz is not a tourist city per se but still relies on touristification strategies. This paper aims to expand the knowledge of Airbnb’s spatial patterns in this type of city. The use of data collected from web scraping and geographic information systems (GIS) demonstrates that Airbnb has opened up new tourism markets outside of the centrally established tourist accommodations. It also shows that the price gap between Airbnb and the housing rental market is broadest in neighbourhoods that had not experienced tourism before Airbnb entered the market. In the centre the highest prices and the smallest units are identified, but two peripheral quarters stand out. Anaga Mountains, a natural and rural space, has the highest numbers of Airbnb listings per capita. Suroeste, a suburban quarter, shows the highest growth rates on the rental market, which implies a linkage between Airbnb and suburbanization processes.

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