Efforts and innovations to promote data sharing and data accessibility in the EGS collab experiments

Pengcheng Fu, Jon Weers, Mark White, Hunter Knox, Paul Schwering, Joseph Morris, Doug Blankenship, Tim Kneafsey, Collab Teama Egs Collab Teama, J. Ajo-Franklin, T. Baumgartner, K. Beckers, D. Blankenship, A. Bonneville, L. Boyd, S. Brown, J. A. Burghardt, C. Chai, A. Chakravarty, T. ChenY. Chen, B. Chi, K. Condon, P. J. Cook, D. Crandall, P. F. Dobson, T. Doe, C. A. Doughty, D. Elsworth, J. Feldman, Z. Feng, A. Foris, L. P. Frash, Z. Frone, P. Fu, K. Gao, A. Ghassemi, Y. Guglielmi, B. Haimson, A. Hawkins, J. Heise, Chet Hopp, M. Horn, R. N. Horne, J. Horner, M. Hu, H. Huang, L. Huang, K. J. Im, M. Ingraham, E. Jafarov, R. S. Jayne, T. C. Johnson, S. E. Johnson, B. Johnston, S. Karra, K. Kim, D. K. King, T. Kneafsey, H. Knox, J. Knox, D. Kumar, K. Kutun, M. Lee, D. Li, J. Li, K. Li, Z. Li, M. MacEira, P. MacKey, N. Makedonska, C. J. Marone, E. Mattson, M. W. McClure, J. McLennan, T. McLing, C. Medler, R. J. Mellors, E. Metcalfe, J. Miskimins, J. Moore, C. E. Morency, J. P. Morris, T. Myers, S. Nakagawa, G. Neupane, G. Newman, A. Nieto, T. Paronish, R. Pawar, P. Petrov, B. Pietzyk, R. Podgorney, Y. Polsky, J. Pope, S. Porse, J. C. Primo, C. Reimers, B. Q. Roberts, M. Robertson, V. Rodriguez-Tribaldos, W. Roggenthen, J. Rutqvist, D. Rynders, M. Schoenball, P. Schwering, V. Sesetty, C. S. Sherman, A. Singh, M. M. Smith, H. Sone, E. L. Sonnenthal, F. A. Soom, D. P. Sprinkle, S. Sprinkle, C. E. Strickland, J. Su, D. Templeton, J. N. Thomle, C. Ulrich, N. Uzunlar, A. Vachaparampil, C. A. Valladao, W. Vandermeer, G. Vandine, D. Vardiman, V. R. Vermeul, J. L. Wagoner, H. F. Wang, J. Weers, N. Welch, J. White, M. D. White, P. Winterfeld, T. Wood, S. Workman, H. Wu, Y. S. Wu, E. C. Yildirim, Y. Zhang, Y. Q. Zhang, Q. Zhou, M. D. Zoback

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Large-scale scientific research programs such as the EGS Collab experiments and the FORGE program play extremely important roles in advancing geothermal technologies. Such efforts involve a large number of researchers from multiple institutions, last multiple years, and generate large, complex datasets. The value of the research efforts is only realized when the datasets are used by a large community of researchers in the decades to come. A challenge is that due to the complexity of the data, it could require a user to devote a serious effort into understanding the data before the data can be effectively utilized. In the EGS Collab experiments, the team has devoted remarkable efforts and developed many innovative solutions to make the data more accessible to broader team members and future users. This paper documents the experience gained and lessons learned by the EGS Collab team in disseminating the data in the most informative and inspiring forms to maximize the value of this precious dataset. "Accessibility"in the title does not only mean making the raw data available for download. Particularly, we want to emphasize the importance of organizing, annotating, and presenting the data in ways to make it easy to digest by prospective consumers of the data.

Original languageEnglish
Title of host publicationUsing the Earth to Save the Earth - 2021 Geothermal Rising Conference, GRC 2021
PublisherGeothermal Resources Council
Pages673-685
Number of pages13
ISBN (Electronic)0934412278
StatePublished - 2021
Event2021 Geothermal Rising Conference: Using the Earth to Save the Earth, GRC 2021 - San Diego, United States
Duration: Oct 3 2021Oct 6 2021

Publication series

NameTransactions - Geothermal Resources Council
Volume45
ISSN (Print)0193-5933

Conference

Conference2021 Geothermal Rising Conference: Using the Earth to Save the Earth, GRC 2021
Country/TerritoryUnited States
CitySan Diego
Period10/3/2110/6/21

Funding

This research was performed in support of the EGS Collab project; taking place in part at the Sanford Underground Research Facility in Lead, South Dakota. The assistance of the Sanford Underground Research Facility and its personnel in providing physical access and general logistical and technical support is acknowledged. Support from the EGS Collab team is gratefully acknowledged. This work was supported by U.S. Department of Energy, Geothermal Technologies Office, and performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344. This paper is LLNL report LLNL-CONF-823860. Sandia National Laboratories is a multi-mission laboratory managed and operated by National Technology & Engineering Solutions of Sandia, LLC, a wholly owned subsidiary of Honeywell International Inc., for the U.S. Department of Energy’s National Nuclear Security Administration under contract DE-NA0003525.

FundersFunder number
U.S. Department of Energy
National Nuclear Security AdministrationDE-NA0003525
National Nuclear Security Administration
Lawrence Livermore National LaboratoryDE-AC52-07NA27344
Lawrence Livermore National Laboratory
Sandia National Laboratories
Geothermal Technologies Office

    Keywords

    • Circulation
    • Collab
    • EGS
    • Experiment
    • Fracturing
    • Model validation

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