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Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2021. Peer Review of Interim Report on Computational Fluid Dynamics Model for Predicting Wellhead Oil-Burning Efficiency at Bench and Intermediate Scales. Washington, DC: The National Academies Press. doi: 10.17226/26211.
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Peer Review of Interim Report on Computational
Fluid Dynamics Model for Predicting Wellhead
Oil-Burning Efficiency at Bench and
Intermediate Scales

Committee on the Peer Review of Interim Report on Computational Fluid
Dynamics Model for Predicting Wellhead Oil-Burning Efficiency at Bench and
Intermediate Scales

Board on Chemical Sciences and Technology

Division on Earth and Life Studies

A Consensus Study Report of

images

THE NATIONAL ACADEMIES PRESS
Washington, DC
www.nap.edu

Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2021. Peer Review of Interim Report on Computational Fluid Dynamics Model for Predicting Wellhead Oil-Burning Efficiency at Bench and Intermediate Scales. Washington, DC: The National Academies Press. doi: 10.17226/26211.
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THE NATIONAL ACADEMIES PRESS 500 Fifth Street, NW Washington, DC 20001

This activity was supported by contracts between the National Academy of Sciences and the U.S. Department of the Interior, Bureau of Safety and Environmental Enforcement (BSEE). This report has not been reviewed by BSEE, nor has it been approved for publication. Approval, when given, does not signify that the contents necessarily reflect the views and policies of the Bureau, nor does mention of the trade names or commercial products constitute endorsement or recommendation for use. Study concept, oversight, and funding were provided by the Department of the Interior, BSEE, Oil Spill Preparedness Division, Sterling, VA under OSRR Project 1063 Contract Number 140E0121C0002. Any opinions, findings, conclusions, or recommendations expressed in this publication do not necessarily reflect the views of any organization or agency that provided support for the project.

International Standard Book Number-13: 978-0-309-68297-8
International Standard Book Number-10: 0-309-68297-5
Digital Object Identifier: https://doi.org/10.17226/26211

Additional copies of this publication are available from the National Academies Press, 500 Fifth Street, NW, Keck 360, Washington, DC 20001; (800) 624-6242 or (202) 334-3313; http://www.nap.edu.

Copyright 2021 by the National Academy of Sciences. All rights reserved.

Printed in the United States of America

Suggested citation: National Academies of Sciences, Engineering, and Medicine. 2021. Peer Review of Interim Report on Computational Fluid Dynamics Model for Predicting Wellhead Oil-Burning Efficiency at Bench and Intermediate Scales. Washington, DC: The National Academies Press. https://doi.org/10.17226/26211.

Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2021. Peer Review of Interim Report on Computational Fluid Dynamics Model for Predicting Wellhead Oil-Burning Efficiency at Bench and Intermediate Scales. Washington, DC: The National Academies Press. doi: 10.17226/26211.
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The National Academy of Sciences was established in 1863 by an Act of Congress, signed by President Lincoln, as a private, nongovernmental institution to advise the nation on issues related to science and technology. Members are elected by their peers for outstanding contributions to research. Dr. Marcia McNutt is president.

The National Academy of Engineering was established in 1964 under the charter of the National Academy of Sciences to bring the practices of engineering to advising the nation. Members are elected by their peers for extraordinary contributions to engineering. Dr. John L. Anderson is president.

The National Academy of Medicine (formerly the Institute of Medicine) was established in 1970 under the charter of the National Academy of Sciences to advise the nation on medical and health issues. Members are elected by their peers for distinguished contributions to medicine and health. Dr. Victor J. Dzau is president.

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Learn more about the National Academies of Sciences, Engineering, and Medicine at www.nationalacademies.org.

Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2021. Peer Review of Interim Report on Computational Fluid Dynamics Model for Predicting Wellhead Oil-Burning Efficiency at Bench and Intermediate Scales. Washington, DC: The National Academies Press. doi: 10.17226/26211.
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Consensus Study Reports published by the National Academies of Sciences, Engineering, and Medicine document the evidence-based consensus on the study’s statement of task by an authoring committee of experts. Reports typically include findings, conclusions, and recommendations based on information gathered by the committee and the committee’s deliberations. Each report has been subjected to a rigorous and independent peer-review process and it represents the position of the National Academies on the statement of task.

Proceedings published by the National Academies of Sciences, Engineering, and Medicine chronicle the presentations and discussions at a workshop, symposium, or other event convened by the National Academies. The statements and opinions contained in proceedings are those of the participants and are not endorsed by other participants, the planning committee, or the National Academies.

For information about other products and activities of the National Academies, please visit www.nationalacademies.org/about/whatwedo.

Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2021. Peer Review of Interim Report on Computational Fluid Dynamics Model for Predicting Wellhead Oil-Burning Efficiency at Bench and Intermediate Scales. Washington, DC: The National Academies Press. doi: 10.17226/26211.
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COMMITTEE ON THE PEER REVIEW OF INTERIM REPORT ON COMPUTATIONAL FLUID DYNAMICS MODEL FOR PREDICTING WELLHEAD OIL-BURNING EFFICIENCY AT BENCH AND INTERMEDIATE SCALES

Members

MARGARET WOOLDRIDGE (Chair), University of Michigan

JACQUELINE H. CHEN, NAE, Sandia National Laboratories

FREDERICK L. DRYER, NAE, University of South Carolina

TAREK ECHEKKI, North Carolina State University

IPSITA GUPTA, Louisiana State University

JOSEPH KATZ, NAE, The Johns Hopkins University

ROBERT P. LUCHT, Purdue University

HOPE A. MICHELSEN, University of Colorado Boulder

VEDHA NAYAGAM, Case Western Reserve University

ALI S. RANGWALA, Worcester Polytechnic Institute

ABHISHEK SAHA, University of California, San Diego

WILLIAM A. SIRIGNANO, NAE, University of California, Irvine

SIBENDU SOM, Argonne National Laboratory, University of Chicago

Staff

MAGGIE WALSER, Co-Study Director

LIANA VACCARI, Co-Study Director

JESSICA WOLFMAN, Research Associate

BENJAMIN ULRICH, Senior Program Assistant

Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2021. Peer Review of Interim Report on Computational Fluid Dynamics Model for Predicting Wellhead Oil-Burning Efficiency at Bench and Intermediate Scales. Washington, DC: The National Academies Press. doi: 10.17226/26211.
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BOARD ON CHEMICAL SCIENCES AND TECHNOLOGY

Co-Chairs

SCOTT COLLICK, DuPont

JENNIFER SINCLAIR CURTIS, University of California, Davis

Members

GERARD BAILLELY, Procter & Gamble

RUBEN G. CARBONELL, NAE, North Carolina State University

JOHN FORTNER, Yale School of Engineering and Applied Science

SAMUEL H. GELLMAN, NAS, University of Wisconsin–Madison

KAREN I. GOLDBERG, NAS, University of Pennsylvania

TIMOTHY HALL, McNesse State University

MIRIAM E. JOHN, Sandia National Laboratories (Ret.)

JODIE L. LUTKENHAUS, Texas A&M University

JOSEPH B. POWELL, Shell Global

SALY ROMERO-TORRES, Thermo Fisher Scientific

PETER ROSSKY, NAS, Rice University

REBECCA T. RUCK, Merck Process Research & Development

RICHMOND SARPONG, University of California, Berkeley

VIJAY SWARUP, ExxonMobil

Staff

JEREMY MATHIS, Board Director

MEGAN HARRIES, Program Officer

LIANA VACCARI, Program Officer

LINDA NHON, Associate Program Officer

NICHOLAS ROGERS, Senior Finance Business Partner

THANH NGUYEN, Financial Business Partner

KESIAH CLEMENT, Research Associate

JESSICA WOLFMAN, Research Associate

ELISE ZAIDI, Communications and Media Associate

ABIGAIL ULMAN, Research Assistant

BEN ULRICH, Senior Program Assistant

ANIA ZOLYNIAK, College Student Hire

Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2021. Peer Review of Interim Report on Computational Fluid Dynamics Model for Predicting Wellhead Oil-Burning Efficiency at Bench and Intermediate Scales. Washington, DC: The National Academies Press. doi: 10.17226/26211.
×

Acknowledgment of Reviewers

This Consensus Study Report was reviewed in draft form by individuals chosen for their diverse perspectives and technical expertise. The purpose of this independent review is to provide candid and critical comments that will assist the National Academies of Sciences, Engineering, and Medicine in making each published report as sound as possible and to ensure that it meets the institutional standards for quality, objectivity, evidence, and responsiveness to the study charge. The review comments and draft manuscript remain confidential to protect the integrity of the deliberative process.

We thank the following individuals for their review of this report:

Laura DeMarco, NAS, Harvard University

Peyman Givi, University of Pittsburgh

Andrea Prosperetti, NAE, University of Houston

Kuochen Tsai, Shell

Krishna Venkatesan, GE Global Research

Yi Wang, FM Global

Although the reviewers listed above provided many constructive comments and suggestions, they were not asked to endorse the conclusions or recommendations of this report, nor did they see the final draft before its release. The review of this report was overseen by Dennis Bushnell, NASA, and Manuel Terranova, Peaxy, Inc. They were responsible for making certain that an independent examination of this report was carried out in accordance with the standards of the National Academies and that all review comments were carefully considered. Responsibility for the final content rests entirely with the authoring committee and the National Academies.

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Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2021. Peer Review of Interim Report on Computational Fluid Dynamics Model for Predicting Wellhead Oil-Burning Efficiency at Bench and Intermediate Scales. Washington, DC: The National Academies Press. doi: 10.17226/26211.
×

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Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2021. Peer Review of Interim Report on Computational Fluid Dynamics Model for Predicting Wellhead Oil-Burning Efficiency at Bench and Intermediate Scales. Washington, DC: The National Academies Press. doi: 10.17226/26211.
×
Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2021. Peer Review of Interim Report on Computational Fluid Dynamics Model for Predicting Wellhead Oil-Burning Efficiency at Bench and Intermediate Scales. Washington, DC: The National Academies Press. doi: 10.17226/26211.
×

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Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2021. Peer Review of Interim Report on Computational Fluid Dynamics Model for Predicting Wellhead Oil-Burning Efficiency at Bench and Intermediate Scales. Washington, DC: The National Academies Press. doi: 10.17226/26211.
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Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2021. Peer Review of Interim Report on Computational Fluid Dynamics Model for Predicting Wellhead Oil-Burning Efficiency at Bench and Intermediate Scales. Washington, DC: The National Academies Press. doi: 10.17226/26211.
×
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Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2021. Peer Review of Interim Report on Computational Fluid Dynamics Model for Predicting Wellhead Oil-Burning Efficiency at Bench and Intermediate Scales. Washington, DC: The National Academies Press. doi: 10.17226/26211.
×
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Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2021. Peer Review of Interim Report on Computational Fluid Dynamics Model for Predicting Wellhead Oil-Burning Efficiency at Bench and Intermediate Scales. Washington, DC: The National Academies Press. doi: 10.17226/26211.
×
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Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2021. Peer Review of Interim Report on Computational Fluid Dynamics Model for Predicting Wellhead Oil-Burning Efficiency at Bench and Intermediate Scales. Washington, DC: The National Academies Press. doi: 10.17226/26211.
×
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Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2021. Peer Review of Interim Report on Computational Fluid Dynamics Model for Predicting Wellhead Oil-Burning Efficiency at Bench and Intermediate Scales. Washington, DC: The National Academies Press. doi: 10.17226/26211.
×
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Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2021. Peer Review of Interim Report on Computational Fluid Dynamics Model for Predicting Wellhead Oil-Burning Efficiency at Bench and Intermediate Scales. Washington, DC: The National Academies Press. doi: 10.17226/26211.
×
Page R7
Page viii Cite
Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2021. Peer Review of Interim Report on Computational Fluid Dynamics Model for Predicting Wellhead Oil-Burning Efficiency at Bench and Intermediate Scales. Washington, DC: The National Academies Press. doi: 10.17226/26211.
×
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Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2021. Peer Review of Interim Report on Computational Fluid Dynamics Model for Predicting Wellhead Oil-Burning Efficiency at Bench and Intermediate Scales. Washington, DC: The National Academies Press. doi: 10.17226/26211.
×
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Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2021. Peer Review of Interim Report on Computational Fluid Dynamics Model for Predicting Wellhead Oil-Burning Efficiency at Bench and Intermediate Scales. Washington, DC: The National Academies Press. doi: 10.17226/26211.
×
Page R10
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Peer Review of Interim Report on Computational Fluid Dynamics Model for Predicting Wellhead Oil-Burning Efficiency at Bench and Intermediate Scales reviews OSRR 1063: Bureau of Safety and Environmental Enforcement Report: Computational Fluid Dynamics Model for Predicting Wellhead Oil-Burning Efficiency at Bench and Intermediate Scales: Interim Report (July 30, 2020), produced by the U.S. Naval Research Laboratory (NRL) and funded by the Bureau of Safety and Environmental Enforcement (BSEE). Specifically, this report assesses the technical quality and completeness of the NRL report; the assumptions and approach used to develop the computational fluid dynamics model; and the completeness of the modeling results and experimental validation as an evidence base for determining whether wellhead burning is sufficient for mitigation of uncontrolled environmental release of oil in the event of loss of well control.

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