2026-09-22T18:17:58Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/179092022-01-31T20:59:41Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Howard J. Herzog and Stuart E. Madnick.
Cheng, David Su-Kai, 1978-
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology. Engineering Systems Division
Technology and Policy Program
2005-06-02T19:08:50Z
2005-06-02T19:08:50Z
2004
2004
http://hdl.handle.net/1721.1/17909
56726945
Thesis (S.M.)--Massachusetts Institute of Technology, Engineering Systems Division, Technology and Policy Program; and, (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004.
Includes bibliographical references (p. 64-69).
Databases and analysis tools currently being used to study carbon dioxide capture and storage (CCS) options are managed by diverse organizations and are heterogeneous in format. Tools to study the various components of a CCS system have been developed in several fields including chemistry, geology, and economics. Data being used to run analyses are being obtained from an equally diverse set of organizations, from data collected for environmental assessments to data on oil and gas exploration. These variations in tools and data cause complications in systems-level analyses, resulting in additional effort expended in data collection and opportunities for human error. A geographic information system has been implemented to automate and support robust studies of both component and system options. Context management and information integration techniques have been designed into the system. The system improves the availability and quality of information by automatically managing the distributed and heterogeneous data sources. The resulting information is being used to advance research and development of CCS systems through efforts such as the NETL sponsored Regional Carbon Sequestration Partnerships. This paper will present an overview of the system and initial results of its application to CCS-related data.
by David Su-Kai Cheng.
S.M.
83 p.
4476470 bytes
4476276 bytes
application/pdf
application/pdf
eng
Massachusetts Institute of Technology
M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
http://dspace.mit.edu/handle/1721.1/7582
Technology and Policy Program.
Electrical Engineering and Computer Science.
Integration of distributed and heterogeneous information for public-private policy analyses
Thesis
application/pdf
Publication
unknown
unknown
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