A Service-Oriented Data-Composition Architecture for Integrated Asset Management
Ramakrishna Soma, Amol B. Bakshi, Abdollah Orangi, Viktor K. Prasanna, Will Da Sie · 2006
A Service-Oriented Data-Composition Architecture for Integrated Asset Management R. Soma; R. Soma U. of Southern California Search for other works by this author on: This Site Google Scholar A. Bakshi; A. Bakshi U. of Southern California Search for other works by this author on: This Site Google Scholar A. Orangi; A. Orangi U. of Southern California Search for other works by this author on: This Site Google Scholar V. K. Prasanna; V. K. Prasanna U. of Southern California Search for other works by this author on: This Site Google Scholar W. Da Sie W. Da Sie Chevron Corp. Search for other works by this author on: This Site Google Scholar Paper presented at the Intelligent Energy Conference and Exhibition, Amsterdam, The Netherlands, April 2006. Paper Number: SPE-99983-MS https://doi.org/10.2118/99983-MS Published: April 11 2006 Cite View This Citation Add to Citation Manager Share Icon Share Twitter LinkedIn Get Permissions Search Site Citation Soma, R., Bakshi, A., Orangi, A., Prasanna, V. K., and W. Da Sie. "A Service-Oriented Data-Composition Architecture for Integrated Asset Management." Paper presented at the Intelligent Energy Conference and Exhibition, Amsterdam, The Netherlands, April 2006. doi: https://doi.org/10.2118/99983-MS Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAll ProceedingsSociety of Petroleum Engineers (SPE)SPE Intelligent Energy International Conference and Exhibition Search Advanced Search Abstract The goal of an Integrated Asset Management (IAM) framework for the oil and gas industry is twofold. From the end users' perspective, it should offer a single, easy-to-use user interface for specifying and executing a variety of workflows from reservoir simulations to economic evaluation. The framework should not require the user to be an expert in any of the underlying software applications; in fact, the details of selecting, configuring, and invoking the underlying software modules should be hidden from the end user. From the software development perspective, the IAM framework should facilitate seamless interaction of diverse and independently developed applications that accomplish various sub-tasks in the overall workflow. For instance, it should be possible to pipe the output of a reservoir simulator running on one machine to a forecasting and optimization toolkit running on another and in turn piping its output to a third piece of software that can convert the information into a set of reports in a specified format. Keywords: information management, composition, Artificial Intelligence, specification, integrated asset modeling, database, Upstream Oil & Gas, data source, data composition, asset and portfolio management Subjects: Asset and Portfolio Management, Information Management and Systems, Integrated asset modeling, Artificial intelligence Copyright 2006, Society of Petroleum Engineers You can access this article if you purchase or spend a download.