810 resultados para Upstream Oil


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Despite the compelling case for moving towards cloud computing, the upstream oil & gas industry faces several technical challengesmost notably, a pronounced emphasis on data security, a reliance on extremely large data sets, and significant legacy investments in information technology (IT) infrastructurethat make a full migration to the public cloud difficult at present. Private and hybrid cloud solutions have consequently emerged within the industry to yield as much benefit from cloud-based technologies as possible while working within these constraints. This paper argues, however, that the move to private and hybrid clouds will very likely prove only to be a temporary stepping stone in the industrys technological evolution. By presenting evidence from other market sectors that have faced similar challenges in their journey to the cloud, we propose that enabling technologies and conditions will probably fall into place in a way that makes the public cloud a far more attractive option for the upstream oil & gas industry in the years ahead. The paper concludes with a discussion about the implications of this projected shift towards the public cloud, and calls for more of the industrys services to be offered through cloud-based apps.

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Despite the compelling case for moving towards cloud computing, the upstream oil & gas industry faces several technical challengesmost notably, a pronounced emphasis on data security, a reliance on extremely large data sets, and significant legacy investments in information technology infrastructurethat make a full migration to the public cloud difficult at present. Private and hybrid cloud solutions have consequently emerged within the industry to yield as much benefit from cloud-based technologies as possible while working within these constraints. This paper argues, however, that the move to private and hybrid clouds will very likely prove only to be a temporary stepping stone in the industry's technological evolution. By presenting evidence from other market sectors that have faced similar challenges in their journey to the cloud, we propose that enabling technologies and conditions will probably fall into place in a way that makes the public cloud a far more attractive option for the upstream oil & gas industry in the years ahead. The paper concludes with a discussion about the implications of this projected shift towards the public cloud, and calls for more of the industry's services to be offered through cloud-based apps.

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Practitioners from both the upstream oil and gas industry and the space and satellite sector have repeatedly noted several striking similarities between the two industries over the years, which have in turn resulted in many direct comparisons in the media and industry press. The two sectors have previously worked together and shared ideas in ways that have yielded some important breakthroughs, but relatively little sharing or cross-pollination has occurred in the area of asset maintenance. This is somewhat surprising in light of the fact that here, too, the sectors have much in common. This paper accordingly puts forward the viewpoint that the upstream oil and gas industry could potentially make significant improvements in asset maintenancespecifically, with regard to offshore platforms and remote pipelinesby selectively applying some aspects of the maintenance strategies and philosophies that have been learned in the space and satellite sector. The paper then offers a research agenda toward accelerating the rate of learning and sharing between the two industries in this domain, and concludes with policy recommendations that could facilitate this kind of cross-industry learning.

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The topic of the cloud has attracted significant attention throughout the past few years (Cherry 2009; Sterling and Stark 2009) and, as a result, academics and trade journals have created several competing definitions of cloud computing (e.g., Motahari-Nezhad et al. 2009). Underpinning this article is the definition put forward by the US National Institute of Standards and Technology, which describes cloud computing as a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources that can be rapidly provisioned and released with minimal management effort or service provider interaction (Garfinkel 2011, p. 3). Despite the lack of consensus about definitions, however, there is broad agreement on the growing demand for cloud computing. Some estimates suggest that spending on cloudrelated technologies and services in the next few years may climb as high as USD 42 billion/year (Buyya et al. 2009).

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Few would argue that the upstream oil & gas industry has become more technology-intensive over the years. But how does innovation happen in the industry? Specifically, what ideas and inputs flow from which parts of the sectors value network, and where do these inputs go? And how do firms and organizations from different countries contribute differently to this process? This paper puts forward the results of a survey designed to shed light on these issues. A joint research initiative between the Society of Petroleum Engineers and the Queensland University of Technology, the survey was sent to 469 executives and senior managers who played a significant role with regards to R&D and/or technology deployment in their respective business units. A total of 199 responses were received from a broad range of organizations and countries around the world. Several interesting themes and trends emerge from the results, including: (1) service companies tend to file considerably more patents per innovation than other types of organization; (2) over 63% of the deployed innovations reported in the survey originated in service companies; (3) neither universities nor government-led research organizations are considered to be valuable sources of new information and knowledge in the industrys R&D initiatives; and (4) despite the increasing degree of globalization in the marketplace, the USA still plays an extremely dominant role in the industrys overall R&D and technology deployment activities. By providing a detailed snapshot of how innovation happens in the upstream oil & gas sector, this paper provides a valuable foundation for future investigations and discussions aimed at improving how R&D and technology deployment are managed within the industry.

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Few would disagree that the upstream oil & gas industry has become more technology-intensive over the years. But how does innovation happen in the industry? Specifically, what ideas and inputs flow from which parts of the sectors value network, and where do these inputs go? And how do firms and organizations from different countries contribute differently to this process? This paper puts forward the results of a survey designed to shed light on these questions. Carried out in collaboration with the Society of Petroleum Engineers (SPE), the survey was sent to 469 executives and senior managers who played a significant role with regard to R&D and/or technology deployment in their respective business units. A total of 199 responses were received from a broad range of organizations and countries around the world. Several interesting themes and trends emerge from the results, including: (1) service companies tend to file considerably more patents per innovation than other types of organization; (2) over 63% of the deployed innovations reported in the survey originated in service companies; (3) neither universities nor government-led research organizations were considered to be valuable sources of new information and knowledge in the industrys R&D initiatives, and; (4) despite the increasing degree of globalization in the marketplace, the USA still plays an extremely dominant role in the industrys overall R&D and technology deployment activities. By providing a detailed and objective snapshot of how innovation happens in the upstream oil & gas sector, this paper provides a valuable foundation for future investigations and discussions aimed at improving how R&D and technology deployment are managed within the industry. The methodology did result in a coverage bias within the survey, however, and the limitations arising from this are explored.

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The upstream oil & gas industry has been contending with massive data sets and monolithic files for many years, but Big Datathat is, the ability to apply more sophisticated types of analytical tools to information in a way that extracts new insights or creates new forms of valueis a relatively new concept that has the potential to significantly re-shape the industry. Despite the impressive amount of value that is being realized by Big Data technologies in other parts of the marketplace, however, much of the data collected within the oil & gas sector tends to be discarded, ignored, or analyzed in a very cursory way. This paper examines existing data management practices in the upstream oil & gas industry, and compares them to practices and philosophies that have emerged in organizations that are leading the Big Data revolution. The comparison shows that, in companies that are leading the Big Data revolution, data is regarded as a valuable asset. The presented evidence also shows, however, that this is usually not true within the oil & gas industry insofar as data is frequently regarded there as descriptive information about a physical asset rather than something that is valuable in and of itself. The paper then discusses how upstream oil & gas companies could potentially extract more value from data, and concludes with a series of specific technical and management-related recommendations to this end.

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Despite considerable effort and a broad range of new approaches to safety management over the years, the upstream oil & gas industry has been frustrated by the sectors stubbornly high rate of injuries and fatalities. This short communication points out, however, that the industry may be in a position to make considerable progress by applying Big Data analytical tools to the large volumes of safety-related data that have been collected by these organizations. Toward making this case, we examine existing safety-related information management practices in the upstream oil & gas industry, and specifically note that data in this sector often tends to be highly customized, difficult to analyze using conventional quantitative tools, and frequently ignored. We then contend that the application of new Big Data kinds of analytical techniques could potentially reveal patterns and trends that have been hidden or unknown thus far, and argue that these tools could help the upstream oil & gas sector to improve its injury and fatality statistics. Finally, we offer a research agenda toward accelerating the rate at which Big Data and new analytical capabilities could play a material role in helping the industry to improve its health and safety performance.

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The concept of strategic dalliances defined as non-committal relationships that companies can dip in and out of, or dally with, while simultaneously maintaining longer-term strategic partnerships with other firms and suppliers has emerged as a promising strategy by which organizations can create discontinuous innovations. But does this approach work equally well for every sector? Moreover, how can these links be effectively used to foster the process of discontinuous innovation? Toward assessing the role that industry clockspeed plays in the success or failure of strategic dalliances, we provide case study evidence from Twister BV, an upstream oil and gas technology provider, and show that strategic dalliances can be an enabler for the discontinuous innovation process in slow clockspeed industries. Implications for research and practice are discussed, and conclusions from our findings are drawn.

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The upstream oil and gas industry has been contending with massive data sets and monolithic files for many years, but Big Data is a relatively new concept that has the potential to significantly re-shape the industry. Despite the impressive amount of value that is being realized by Big Data technologies in other parts of the marketplace, however, much of the data collected within the oil and gas sector tends to be discarded, ignored, or analyzed in a very cursory way. This viewpoint examines existing data management practices in the upstream oil and gas industry, and compares them to practices and philosophies that have emerged in organizations that are leading the way in Big Data. The comparison shows that, in companies that are widely considered to be leaders in Big Data analytics, data is regarded as a valuable assetbut this is usually not true within the oil and gas industry insofar as data is frequently regarded there as descriptive information about a physical asset rather than something that is valuable in and of itself. The paper then discusses how the industry could potentially extract more value from data, and concludes with a series of policy-related questions to this end.

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Few would argue that the upstream oil and gas industry has become more technology- intensive over the years. At the same time, the increasing costs and complexity of todays exploration and production (E&P) technologies are making it increasingly difficult for any one company to support an aggressive research and development (R&D) agenda single handedly. The coming together of these two evolutionary forces gives rise to important questions. How does innovation happen in the E&P industry? Specifically, what ideas and inputs flow from which parts of the industrys value network, and where do these inputs go? And how do firms and organizations from different countries contribute differently to this process? This survey was designed to shed light on these issues.

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The E&P sector can learn much about asset maintenance from the space and satellite industry. Practitioners from both the upstream oil and gas industry and the space and satellite sector have repeatedly noted several striking similarities between the two industries over the years, which have in turn resulted in many direct comparisons in the media and industry press. The similarities between the two industries have even resulted in a modest amount of cross-pollinating between the respective supply chains. Because the operating conditions of both industries are so extreme, some oil and gas equipment vendors have occasionally sourced motors and other parts from aerospace contractors. Also, satellites are now being used to assess oil fires, detect subsidence in oil fields, measure oil spills, collect and transmit operational data from oil and gas fields, and monitor the movement of icebergs that might potentially collide with offshore oil and gas installations.

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O objetivo deste trabalho propor a utilizao do arcabouo terico das opes reais e a posterior aplicao do modelo binomial na avaliao de projetos relacionados explorao e produo de petrleo, tendo em vista a flexibilidade gerencial, os riscos e as incertezas tcnicas e de mercado que norteiam o setor petrolfero upstream. Ademais, a aplicao do modelo proposto capta o papel crucial da volatilidade do preo do petrleo na avaliao da deciso de investimento e revela a existncia dos custos irrecuperveis extremos decorrentes do ativo real, neste caso, a unidade martima de petrleo. Assim, com o intuito de prolongar o ciclo de produo de unidade martima de petrleo com caractersticas preestabelecidas, prope-se a avaliao econmica de duas alternativas tecnolgicas para a extenso de vida til da plataforma martima objeto de estudo, sendo estas alternativas tratadas como opes de expanso. As alternativas propostas so duas: o afretamento da UMS (Unidade de Manuteno e Segurana) acoplada plataforma e a docagem da plataforma a partir da desmobilizao, isto , o descomissionamento, e envio da plataforma ao estaleiro. Na aplicao da primeira opo, a UMS se configura em uma embarcao equipada com toda a estrutura necessria para a realizao de servio de manuteno e revitalizao, sem que ocorra interrupo da produo de petrleo. Por outro lado, a opo de descomissionamento desprovida de receita at o retorno da plataforma do estaleiro. No que tange metodologia do presente trabalho, o modelo binomial com probabilidades de risco neutro aplicado considerando a receita proveniente da produo de petrleo de uma plataforma martima com sistema de produo flutuante com 14 poos, sendo 10 produtores e 4 injetores e sustentada por 8 linhas de ancoragem. Tambm definida a volatilidade do projeto como sendo a volatilidade do preo do petrleo. Por fim, as opes de expanso podem ser exercidas a qualquer momento antes da data de expirao das opes, data esta coincidente para ambas as opes e referente ao trmino de contrato de afretamento da UMS, que corresponde ao perodo de cinco anos. Neste perodo de cinco anos, as duas alternativas so exercidas a partir do primeiro ano, com receitas e custos distintos em virtude das especificidades decorrentes das alternativas tecnolgicas propostas. A partir da aplicao do modelo binomial com probabilidades de risco neutro sob o enfoque das opes reais, as duas alternativas tecnolgicas so tratadas como opes americanas na avaliao econmica da revitalizao e manuteno da plataforma martima. Tambm realiza-se a anlise tradicional do VPL para as duas alternativas. As duas anlises apontam para a escolha da UMS como alternativa tima de expanso da vida til da plataforma. Ademais, a anlise sob o enfoque das opes reais capta um valor adicional em ambas as alternativas tecnolgicas, fruto das caractersticas inerentes indstria petrolfera. Quanto estrutura do trabalho em questo se divide em cinco captulos: introduo, referencial terico, metodologia, apresentao dos resultados e as consideraes finais.

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This honors thesis research project was the study and development of a compact separation device for the oil and gas industry involving a multiphase cylindrical screen filter. Cylindrical screens can be used for solids removal in multiphase flow in upstream oil and gas applications. This study focused on cylindrical wire-wrap screen test unit design and performance characterization to determine volumetric flow rate and pressure drop correlations. The project goals were met with research, test unit design, CFD modeling, calculations, and physical testing. The comprehensive testing will take place during the summer of 2013 and is planned to consist of building the designed flowloop and housing and using high capacity pumps to achieve higher flow rates. Multiphase testing will be performed with water, air, and sand particles and flow and pressure effects will be evaluated for solids filtering over time.

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Es un trabajo que pretende dar a conocer de una manera sencilla uno de los sectores de gran importancia en la industria de los hidrocarburos el UPSTREAM, que es tan solo el primer bloque de esta industria tan compleja y tan importante a nivel mundial. De esta misma forma dar a conocer los pasos que se toman en una operacin de Lifting de un FPSO as como la importancia del rol de egresados de nutica en este tipo de operaciones."