EGS Collab Experiment 1: Time-series geochemistry data of the long-term circulation test
This submission presents the weekly geochemistry data of the long-term flow test performed within EGS Collab Experiment 1 from early 2019 to early 2020. The fluids from each producing borehole/interval (PI, PB, PDT and PST) along with the injectate were sampled roughly weekly from April 2019 to January 2020 for geochemistry analysis. The geochemical measurement was part of a long-term microbial profiling project (see details in the PNAS paper linked below). Additional background and methodologies are available in the PNAS paper linked bellow.
Citation Formats
TY - DATA
AB - This submission presents the weekly geochemistry data of the long-term flow test performed within EGS Collab Experiment 1 from early 2019 to early 2020. The fluids from each producing borehole/interval (PI, PB, PDT and PST) along with the injectate were sampled roughly weekly from April 2019 to January 2020 for geochemistry analysis. The geochemical measurement was part of a long-term microbial profiling project (see details in the PNAS paper linked below). Additional background and methodologies are available in the PNAS paper linked bellow.
AU - Zhang, Yuran
A2 - Horne, Roland N.
A3 - Hawkins, Adam J.
A4 - Primo, John Carlo
A5 - Gorbatenko, Oxana
A6 - Dekas, Anne E.
DB - Open Energy Data Initiative (OEDI)
DP - Open EI | National Renewable Energy Laboratory
DO - 10.15121/1897034
KW - geothermal
KW - energy
KW - geochemistry
KW - reactive transport
KW - time-series
KW - microbial profiling
KW - Data
KW - Excel
KW - Cations
KW - Anions
KW - PNAS
KW - ionic molar conductivity
KW - Electrical Conductivities
LA - English
DA - 2022/01/01
PY - 2022
PB - Stanford University
T1 - EGS Collab Experiment 1: Time-series geochemistry data of the long-term circulation test
UR - https://doi.org/10.15121/1897034
ER -
Zhang, Yuran, et al. EGS Collab Experiment 1: Time-series geochemistry data of the long-term circulation test. Stanford University, 1 January, 2022, GDR. https://doi.org/10.15121/1897034.
Zhang, Y., Horne, R., Hawkins, A., Primo, J., Gorbatenko, O., & Dekas, A. (2022). EGS Collab Experiment 1: Time-series geochemistry data of the long-term circulation test. [Data set]. GDR. Stanford University. https://doi.org/10.15121/1897034
Zhang, Yuran, Roland N. Horne, Adam J. Hawkins, John Carlo Primo, Oxana Gorbatenko, and Anne E. Dekas. EGS Collab Experiment 1: Time-series geochemistry data of the long-term circulation test. Stanford University, January, 1, 2022. Distributed by GDR. https://doi.org/10.15121/1897034
@misc{OEDI_Dataset_8354,
title = {EGS Collab Experiment 1: Time-series geochemistry data of the long-term circulation test},
author = {Zhang, Yuran and Horne, Roland N. and Hawkins, Adam J. and Primo, John Carlo and Gorbatenko, Oxana and Dekas, Anne E.},
abstractNote = {This submission presents the weekly geochemistry data of the long-term flow test performed within EGS Collab Experiment 1 from early 2019 to early 2020. The fluids from each producing borehole/interval (PI, PB, PDT and PST) along with the injectate were sampled roughly weekly from April 2019 to January 2020 for geochemistry analysis. The geochemical measurement was part of a long-term microbial profiling project (see details in the PNAS paper linked below). Additional background and methodologies are available in the PNAS paper linked bellow.
},
url = {https://gdr.openei.org/submissions/1424},
year = {2022},
howpublished = {GDR, Stanford University, https://doi.org/10.15121/1897034},
note = {Accessed: 2025-05-29},
doi = {10.15121/1897034}
}
https://dx.doi.org/10.15121/1897034
Details
Data from Jan 1, 2022
Last updated Feb 17, 2025
Submitted Oct 11, 2022
Organization
Stanford University
Contact
Yuran Zhang
Authors
Original Source
https://gdr.openei.org/submissions/1424Research Areas
Keywords
geothermal, energy, geochemistry, reactive transport, time-series, microbial profiling, Data, Excel, Cations, Anions, PNAS, ionic molar conductivity, Electrical ConductivitiesDOE Project Details
Project Name EGS Collab
Project Lead Lauren Boyd
Project Number EE0032708
