- Home
- A-Z Publications
- First Break
- Previous Issues
- Volume 21, Issue 1, 2003
First Break - Volume 21, Issue 1, 2003
Volume 21, Issue 1, 2003
-
-
Storage strategy for data processing and visualization
Authors G. Servos and M. HeagneyThe promised competitive advantage of today's data processing and visualization systems is blunted by problems in data storage. A strategy for storing large numbers of files for data processing and visualization must be implemented. This strategy must protect valuable digital assets while maintaining a minimum amount of expensive high performance disk storage.
-
-
-
Data Catalogues Move from Theory into Practice
More LessFinding data of known quality, regardless of source is a key industry requirement but data exists in different formats, with different standards applied, stored on different systems, provided by a variety of vendors.Accessing data often requires skilled knowledge of a specific application or database and once the data has been retrieved, merged, analysed or evaluated, how the output information or knowledge is shared is often a barrier. This is especially true if the information is required by people external to the team who created it as they may use a different set of applications and have their own data standards, terminology and work practices. Issues of data availability, access and quality have caused problems across the industry for many years. This has resulted in additional business costs, loss of value and inefficient working practices. There have been many different initiatives that have attempted to address these data integration and access issues with varying degrees of success. With Internet technologies maturing, portals are now being exploited to provide integrated data access across organisational boundaries. Although portals offer significant potential as data access and sharing mechanisms, they do not address the issues of data quality, data standards, differences in business terminology, business processes, organisational roles and organisational culture that must all be addressed if real business benefit is to be realised from investment in collaborative data management. For many years the relationships between people, process and technology has influenced the way that new software has been developed and deployed. This relationship model does not address the key component of data. People, process, technology and data is more representative of the E&P business and catalogues can be deployed to exploit these relationships. Catalogues, within the E&P industry, are still at an immature stage but Logica has been actively involved in implementing these catalogues as business solutions. This experience leads us to concur that catalogues can provide a step change in industry KID (knowledge, information, data) integration which provides business benefit through improved efficiencies, reduction in costly errors and value addition through collaborative working and knowledge sharing.
-
-
-
Evolution of Storage for E&P Computing: Keeping up with Changing Workflows, Data Volumes and Business Requirements.
By M. AmelangAs E&P business activities focus more on integrated data analysis at the workstation, so storage has evolved to meet the increasingly demanding needs of E&P geoscientists. Data volumes and types have grown quickly, the breadth of users requiring access to the data continues to expand, computing platforms continue to grow, and tolerance for downtime and data loss moves toward zero. All of these factors have brought about a large change in the way data are stored and shared in the E&P environment. This article looks at the evolution of storage and the value an optimized storage infrastructure can bring to an E&P business unit. The storage requirement for E&P computing continues to change rapidly. New data additions are increasing at faster and faster rates. The result is a new crisis in which businesses may lack the ability to manage both the storage and the data because it is not economically feasible to increase administrative staff to keep pace. Companies are therefore always looking for more efficient and cost-effective data storage which can be managed effectively. Many have purchased a combination of storage technologies over the years, but recent technology innovations now provide the opportunity to consolidate and continue to lower the total cost of ownership (TCO).
-
-
-
Creating Business Value From E&P Data Assets
Authors M.L. Southers and J. WorthamMerry Lynn Southers, director, operations, and Jim Wortham, director, sales and marketing, Data Logic Services Corp (an IHS Energy company), argue that E&P companies must manage all their data properly to maximise value and make best use of their pool of geoscientists.
-
-
-
Web Technologies for Information Access and Workflow Support: Technical Workspace Portals
Authors U. Algan and M. PiantanidaSince the early beginnings in 1997, Web-enabled technologies have grown to become as much a part of our daily lives as the telephone and the television. A significant percentage of the world’s population today relies on the Web for a variety of information and services. Although the impact of the Web technologies on us, the consumers, is significant, it is even more so in the workplace. These days, we get up in the morning and while still at home, access our e-mail on the Web, conduct a virtual Web-enabled meeting with colleagues in another continent, order flowers for a friend’s wedding, glance at the daily headlines and weather, check the traffic and then set off to work. In the office, we study the details of an upcoming conference, sign up for a training session, check the company share price and then we actually start doing our real work- that of finding, producing and delivering oil and gas. The main focus of this article is technical workspace portals for the upstream oil and gas industry and their impact on the way we conduct our daily business. A technical workspace portal is differentiated from other types of portals (such as employee portal, training portal, community portal, government services portal, logistics portal, etc.) by three distinct characteristics (See Figure 1): * It provides access to all the information needed by technical specialists to carry out their work. * It provides access to all the geoscience and engineering applications (traditional client server or the newer Webenabled applications), preferably in the context of a specific workflow. * It provides technical workflow support utilities in the shape of virtual collaboration tools, process management tools, performance enhancement tools and best practices capture and dissemination tools. The remainder of this article will focus on describing the general problems and issues of providing fit-for-purpose information access, analysis and workflow support tools to technical specialists, and how portal technologies help offer effective solutions to at least some of the problems. To put things in historical perspective, we will provide an overview of how upstream technical information management has evolved over the last 10 years. We will then introduce a generalised architecture for a Web-enabled information, application and workflow support system and how such a system is deployed in an example project. Finally, we will conclude with a short review of future directions for Web-enabled systems.
-
-
-
Confidence Estimation for Petrophysical Predictions: An Intelligent Approach
Authors A.G. Bruce and P. M. WongObtaining a permeability profile from well logs in heterogeneous reservoirs is often a complex and laborious process. The use of intelligent computing for permeability prediction has removed many of these difficulties. Conventional neural network models provide only an average error for the entire training set. This paper presents a simple hybrid technique for estimating confidence bounds for each permeability prediction. The case study in a clastic reservoir, offshore China, clearly demonstrates the usefulness of the technique and it gives more realistic results than those obtained from a conventional neural network. It is also simple to implement in conventional spreadsheets.
-
Volumes & issues
-
Volume 42 (2024)
-
Volume 41 (2023)
-
Volume 40 (2022)
-
Volume 39 (2021)
-
Volume 38 (2020)
-
Volume 37 (2019)
-
Volume 36 (2018)
-
Volume 35 (2017)
-
Volume 34 (2016)
-
Volume 33 (2015)
-
Volume 32 (2014)
-
Volume 31 (2013)
-
Volume 30 (2012)
-
Volume 29 (2011)
-
Volume 28 (2010)
-
Volume 27 (2009)
-
Volume 26 (2008)
-
Volume 25 (2007)
-
Volume 24 (2006)
-
Volume 23 (2005)
-
Volume 22 (2004)
-
Volume 21 (2003)
-
Volume 20 (2002)
-
Volume 19 (2001)
-
Volume 18 (2000)
-
Volume 17 (1999)
-
Volume 16 (1998)
-
Volume 15 (1997)
-
Volume 14 (1996)
-
Volume 13 (1995)
-
Volume 12 (1994)
-
Volume 11 (1993)
-
Volume 10 (1992)
-
Volume 9 (1991)
-
Volume 8 (1990)
-
Volume 7 (1989)
-
Volume 6 (1988)
-
Volume 5 (1987)
-
Volume 4 (1986)
-
Volume 3 (1985)
-
Volume 2 (1984)
-
Volume 1 (1983)