Fallon FORGE: Seismic Reflection Profiles
Newly reprocessed Naval Air Station Fallon (1994) seismic lines: pre-stack depth migrations, with interpretations to support the Fallon FORGE (Phase 2B) 3D Geologic model.
Data along seven profiles (>100 km of total profile length) through and adjacent to the Fallon site were re-processed. The most up-to-date, industry-tested seismic processing techniques were utilized to improve the signal strength and coherency in the sedimentary, volcanic, and Mesozoic crystalline basement sections, in conjunction with fault diffractions in order to improve the identification and definition of faults within the study area.
Citation Formats
TY - DATA
AB - Newly reprocessed Naval Air Station Fallon (1994) seismic lines: pre-stack depth migrations, with interpretations to support the Fallon FORGE (Phase 2B) 3D Geologic model.
Data along seven profiles (>100 km of total profile length) through and adjacent to the Fallon site were re-processed. The most up-to-date, industry-tested seismic processing techniques were utilized to improve the signal strength and coherency in the sedimentary, volcanic, and Mesozoic crystalline basement sections, in conjunction with fault diffractions in order to improve the identification and definition of faults within the study area.
AU - Blankenship, Doug
A2 - Faulds, James
A3 - Queen, John
A4 - Fortuna, Mark
DB - Open Energy Data Initiative (OEDI)
DP - Open EI | National Renewable Energy Laboratory
DO - 10.15121/1452743
KW - geothermal
KW - energy
KW - FORGE
KW - EGS
KW - Fallon
KW - Nevada
KW - Seismic
KW - Reflection
KW - vetted-no
KW - depth migration
KW - geophysics
KW - processed data
KW - prestack
KW - interpreted
KW - site map
KW - survey map
KW - reprocessed data
KW - reprocessed
KW - data
LA - English
DA - 2018/02/01
PY - 2018
PB - Sandia National Laboratories
T1 - Fallon FORGE: Seismic Reflection Profiles
UR - https://doi.org/10.15121/1452743
ER -
Blankenship, Doug, et al. Fallon FORGE: Seismic Reflection Profiles. Sandia National Laboratories, 1 February, 2018, GDR. https://doi.org/10.15121/1452743.
Blankenship, D., Faulds, J., Queen, J., & Fortuna, M. (2018). Fallon FORGE: Seismic Reflection Profiles. [Data set]. GDR. Sandia National Laboratories. https://doi.org/10.15121/1452743
Blankenship, Doug, James Faulds, John Queen, and Mark Fortuna. Fallon FORGE: Seismic Reflection Profiles. Sandia National Laboratories, February, 1, 2018. Distributed by GDR. https://doi.org/10.15121/1452743
@misc{OEDI_Dataset_7171,
title = {Fallon FORGE: Seismic Reflection Profiles},
author = {Blankenship, Doug and Faulds, James and Queen, John and Fortuna, Mark},
abstractNote = {Newly reprocessed Naval Air Station Fallon (1994) seismic lines: pre-stack depth migrations, with interpretations to support the Fallon FORGE (Phase 2B) 3D Geologic model.
Data along seven profiles (>100 km of total profile length) through and adjacent to the Fallon site were re-processed. The most up-to-date, industry-tested seismic processing techniques were utilized to improve the signal strength and coherency in the sedimentary, volcanic, and Mesozoic crystalline basement sections, in conjunction with fault diffractions in order to improve the identification and definition of faults within the study area.},
url = {https://gdr.openei.org/submissions/1011},
year = {2018},
howpublished = {GDR, Sandia National Laboratories, https://doi.org/10.15121/1452743},
note = {Accessed: 2025-05-23},
doi = {10.15121/1452743}
}
https://dx.doi.org/10.15121/1452743
Details
Data from Feb 1, 2018
Last updated Jul 8, 2021
Submitted Feb 27, 2018
Organization
Sandia National Laboratories
Contact
Doug Blankenship
Authors
Original Source
https://gdr.openei.org/submissions/1011Research Areas
Keywords
geothermal, energy, FORGE, EGS, Fallon, Nevada, Seismic, Reflection, vetted-no, depth migration, geophysics, processed data, prestack, interpreted, site map, survey map, reprocessed data, reprocessed, dataDOE Project Details
Project Name Frontier Observatory for Research in Geothermal Energy: Fallon, NV
Project Lead Lauren Boyd
Project Number EE0007160
