State and national energy environmental risk analysis systems for underground injection control. Final report, April 7, 1992--May 31, 1995
Publication year - 1995
Publication title -
osti oai (u.s. department of energy office of scientific and technical information)
Language(s) - English
Resource type - Reports
DOI - 10.2172/196523
Subject(s) - sample (material) , resource (disambiguation) , control (management) , computer science , energy (signal processing) , operations research , environmental science , data mining , engineering , statistics , mathematics , artificial intelligence , computer network , chemistry , chromatography
The purpose of this effort is to develop and demonstrate the concept of a national Energy and Environmental Risk Analysis System that could support DOE policy analysis and decision-making. That effort also includes the development and demonstration of a methodology for assessing the risks of groundwater contamination from underground injection operations. EERAS is designed to enhance DOE`s analytical capabilities by working with DOE`s existing resource analysis models for oil and gas. The full development of EERAS was not planned as part of this effort. The design and structure for the system were developed, along with interfaces that facilitate data input to DOE`s other analytical tools. The development of the database for EERAS was demonstrated with the input of data related to underground injection control, which also supported the risk assessment being performed. The utility of EERAS has been demonstrated by this effort and its continued development is recommended. Since the absolute risk of groundwater contamination due to underground injection is quite low, the risk assessment methodology focuses on the relative risk of groundwater contamination. The purpose of this methodology is to provide DOE with an enhanced understanding of the relative risks posed nationwide as input to DOE decision-making and resource allocation. Given data problems encountered, a broad assessment of all oil reservoirs in DOE`s resource database was not possible. The methodology was demonstrated using a sample of 39 reservoirs in 15 states. While data difficulties introduce substantial uncertainties, the results found are consistent with expectations and with prior analyses. Therefore the methodology for performing assessments appears to be sound. Recommendations on steps that can be taken to resolve uncertainties or obtain improved data are included in the report
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