skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: The Role of Computational Simulation Workflow in Decision Making for High Consequence Engineering Systems.

Abstract

Abstract not provided.

Authors:
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1367325
Report Number(s):
SAND2017-5407C
653498
DOE Contract Number:
AC04-94AL85000
Resource Type:
Conference
Resource Relation:
Conference: Proposed for presentation at the NAFEMS World Congress 2017 held June 11-14, 2017 in Stockholm, Sweden.
Country of Publication:
United States
Language:
English

Citation Formats

Orient, George Edgar. The Role of Computational Simulation Workflow in Decision Making for High Consequence Engineering Systems.. United States: N. p., 2017. Web.
Orient, George Edgar. The Role of Computational Simulation Workflow in Decision Making for High Consequence Engineering Systems.. United States.
Orient, George Edgar. 2017. "The Role of Computational Simulation Workflow in Decision Making for High Consequence Engineering Systems.". United States. doi:. https://www.osti.gov/servlets/purl/1367325.
@article{osti_1367325,
title = {The Role of Computational Simulation Workflow in Decision Making for High Consequence Engineering Systems.},
author = {Orient, George Edgar},
abstractNote = {Abstract not provided.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = 2017,
month = 5
}

Conference:
Other availability
Please see Document Availability for additional information on obtaining the full-text document. Library patrons may search WorldCat to identify libraries that hold this conference proceeding.

Save / Share:
  • A course of exercises has been developed that trains the student in the different steps involved in discovering and evaluating the economic worth of an oil field. The objective is for the course to act as a link for several different aspects of petroleum engineering - seismic analysis, drilling and completion, logging, well testing, reservoir evaluation and economic analysis - that the student has been taught in detail in the specialist courses that he/she has attended during the course of his/her petroleum engineering education. To do this, a fictitious oil field has been invented, and its details incorporated into amore » simulator that allows drilling, logging and other operations to be carried out so that the student gradually learns about the properties of the field during the course of a series of {open_quotes}hands on{close_quotes} exercises. Once the investigation is complete, the student has enough information to make an economic evaluation of the field, and is in a position to determine the necessary economic criteria - investment required, net present value, return on investment etc. - that will allow the {open_quotes}company{close_quotes} owning the lease to decide whether to go ahead with developing the field.« less
  • A critical evaluation of the many environmental issues facing EPA Region 3 has established five major priorities: (1) ozone pollution (and its precursors); (2) impacts of acidification (acid deposition and acid mine drainage); (3) eutrophication of the Chesapeake Bay from atmospheric nitrogen deposition; (4) Cities/Urban Environment (ozone, particulate matter (PM), air toxics are some of the air components); and (5) Climate Change. Recognizing the complex nature of the systems controlling these issues, Region III's Air Protection Division (APD) is developing a decision support tool, i.e., the Decision Consequence Model (DCM), that will integrate and automate the analysis of environmental impactsmore » in a manner that allows them to holistically address these regional priorities. Using this tool the authors intend to consider the interdependency of pollutants and their environmental impacts in order to support real-time decision making. The purpose of this paper is to outline the basic concept of the DCM and to present an example set of environmental indicators to illustrate how the DCM will be used to evaluate environmental impacts. The authors will discuss their process of indicator development, and present an example suite of indicators to provide a concrete example of the concepts presented above and, to illustrate the utility of the DCM to simultaneously evaluate multiple effects of a single pollutant. They will discuss the type of indicators chosen for this example as well as the general criteria the DCM indicators must satisfy. The framework that was developed to construct the indicators is discussed and used to calculate the example indicators. The yearly magnitudes of these example indicators are calculated for various multi-year periods to show their behavior over time.« less
  • Six technology roadmaps were developed for various technologies under consideration for the treatment of sodium bearing liquid and calcine wastes. In the process of creating these roadmaps, a number of process improvements were identified for each of the formal roadmapping phases as described in the Department of Energy’s draft roadmapping guidance. The lessons learned, presented as beneficial improvements to the Idaho National Engineering and Environmental Laboratory (INEEL) High Level Waste Program, are proposed to be added to the draft guidance. Additionally, synergistic interfaces between the roadmapping and decision-making processes were observed and reported on. With these improvements, technology roadmapping hasmore » become an effective integration tool at the INEEL for planning technology development.« less
  • To accelerate the introduction of new materials and components, the development of metal casting processes requires the teaming between different disciplines, as multi-physical phenomena have to be considered simultaneously for the process design and optimization of mechanical properties. The required models for physical phenomena as well as their validation status for metal casting are reviewed. The data on materials properties, model validation, and relevant microstructure for materials properties are highlighted. One vehicle to accelerate the development of new materials is through combined experimental-computational efforts. Integrated computational/experimental practices are reviewed; strengths and weaknesses are identified with respect to metal casting processes.more » Specifically, the examples are given for the knowledge base established at Oak Ridge National Laboratory and computer models for predicting casting defects and microstructure distribution in aluminum alloy components.« less