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The Leading Edge; September 2003; v. 22; no. 9; p. 832-835
© 2003 Society of Exploration Geophysicists
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Workflow-derived applications

A cost-effective multivendor solution

Stuart A. Jackson and Thomas J. Lasseter

S2S Systems, LLC, Missouri City, Texas, U.S.

Corresponding author: stuart@s2ssystems.com

The first 20% of the full text of this article appears below.

Consider the amount of effort required to install, maintain, and enhance complex multiple vendor software systems. Now add the time associated with finding, moving, translating, and converting data stores to meet the requirements of each of those systems. This effort and the associated costs are often referred to as transaction costs. It is estimated that up to 50% of an oil company's technical resources (including information technology costs) are consumed by transaction costs. As the industry develops electronically enabled oil fields, including downhole monitoring systems, permanent seismic monitoring systems and remote controlled platforms and wells, cycle times must be reduced through reduced transaction costs to provide timely analysis of larger and more diverse data sets. The solution is integration of applications from multiple vendors into highly interactive and interdisciplinary workflows. When these new reservoir technologies are coupled with thorough and rapid analysis using integrated multivendor workflows, the results will be more effective reservoir depletion and fewer marginal and dry holes.

There are two possible solutions to reducing transaction costs in the office and the field, a single vendor solution or a multivendor workflow-derived solution. A traditional single vendor solution involves the use of only one software vendor's applications through the entire workflow while the emerging alternative solution is a workflow constructed "on the fly" from small best-in-breed functional components contributed from multiple vendors. This approach is already showing new real potential to reduce transaction costs and allow explorationists to get back to the productive work of finding oil and gas. As the amount and diversity of data increases, cycles times are compressed, and the number of qualified scientists and engineers continues to . . . [Full Text of this Article]







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