Cape EGS: Seismic Attenuation Profile and DAS Microseismic P-wave Spectra
This dataset contains a 1D P-wave attenuation (Q) profile, distributed acoustic sensing (DAS) microseismic P-wave spectra, and derived source parameters from the Delano 1OB well at the Cape Modern geothermal field. The data were collected during a stimulation period from mid-February to mid-March 2024 and include approximately 6,700 microseismic events. Frequency-independent Q values for the upper ~2.5 km are estimated using along-depth spectral ratios in the 20-200 Hz band, based on overlapping channel stacks. The dataset also includes well log measurements (e.g., density, P-wave velocity, and derived shear modulus) summarized using median and median absolute deviation statistics at each channel depth.
Microseismic source parameters are derived using a single-spectral fitting approach based on the Brune model, with event-level results reported as median values across selected channels that meet quality control criteria. The dataset further provides raw DAS P-wave arrival spectra calculated over 0.1 s windows, associated noise spectra, event origin times, and DAS channel configuration information, including spatial coordinates and depth conversion parameters. Python scripts are included to read, process, and visualize the data products. The methods used to compute attenuation and source parameters are described in Chang et al. (submitted), which will be linked upon publication: Chang, H., Nakata, N., Abercrombie, R. E., Dadi, S. & Titov, T. (submitted). Characterizing shallow attenuation and microearthquake source parameters using a downhole DAS array at the Cape Modern geothermal field.
Citation Formats
TY - DATA
AB - This dataset contains a 1D P-wave attenuation (Q) profile, distributed acoustic sensing (DAS) microseismic P-wave spectra, and derived source parameters from the Delano 1OB well at the Cape Modern geothermal field. The data were collected during a stimulation period from mid-February to mid-March 2024 and include approximately 6,700 microseismic events. Frequency-independent Q values for the upper ~2.5 km are estimated using along-depth spectral ratios in the 20-200 Hz band, based on overlapping channel stacks. The dataset also includes well log measurements (e.g., density, P-wave velocity, and derived shear modulus) summarized using median and median absolute deviation statistics at each channel depth.
Microseismic source parameters are derived using a single-spectral fitting approach based on the Brune model, with event-level results reported as median values across selected channels that meet quality control criteria. The dataset further provides raw DAS P-wave arrival spectra calculated over 0.1 s windows, associated noise spectra, event origin times, and DAS channel configuration information, including spatial coordinates and depth conversion parameters. Python scripts are included to read, process, and visualize the data products. The methods used to compute attenuation and source parameters are described in Chang et al. (submitted), which will be linked upon publication: Chang, H., Nakata, N., Abercrombie, R. E., Dadi, S. & Titov, T. (submitted). Characterizing shallow attenuation and microearthquake source parameters using a downhole DAS array at the Cape Modern geothermal field.
AU - Chang, Hilary
A2 - Nakata, Nori
A3 - Abercrombie, Rachel
A4 - Dadi, Sireesh
A5 - Titov, Aleksei
DB - Open Energy Data Initiative (OEDI)
DP - Open EI | National Laboratory of the Rockies
DO -
KW - geothermal
KW - energy
KW - DAS
KW - fiber-optic
KW - attenuation
KW - microseismicity
KW - P-wave
KW - source parameters
KW - stress drop
KW - cape
KW - forge
KW - Q
KW - spectra
KW - seismic
KW - EGS
KW - Cape Modern
KW - Utah FORGE
KW - distributed acoustic sensing
KW - P-wave attenuation
KW - quality factor
KW - Brune model
KW - corner frequency
KW - seismic moment
KW - moment magnitude
KW - well logs
KW - downhole measurements
KW - raw data
KW - processed data
KW - geomechanics
KW - geophysics
LA - English
DA - 2026/03/17
PY - 2026
PB - Lamont Doherty Earth Observatory
T1 - Cape EGS: Seismic Attenuation Profile and DAS Microseismic P-wave Spectra
UR - https://data.openei.org/submissions/8664
ER -
Chang, Hilary, et al. Cape EGS: Seismic Attenuation Profile and DAS Microseismic P-wave Spectra. Lamont Doherty Earth Observatory, 17 March, 2026, GDR. https://gdr.openei.org/submissions/1823.
Chang, H., Nakata, N., Abercrombie, R., Dadi, S., & Titov, A. (2026). Cape EGS: Seismic Attenuation Profile and DAS Microseismic P-wave Spectra. [Data set]. GDR. Lamont Doherty Earth Observatory. https://gdr.openei.org/submissions/1823
Chang, Hilary, Nori Nakata, Rachel Abercrombie, Sireesh Dadi, and Aleksei Titov. Cape EGS: Seismic Attenuation Profile and DAS Microseismic P-wave Spectra. Lamont Doherty Earth Observatory, March, 17, 2026. Distributed by GDR. https://gdr.openei.org/submissions/1823
@misc{OEDI_Dataset_8664,
title = {Cape EGS: Seismic Attenuation Profile and DAS Microseismic P-wave Spectra},
author = {Chang, Hilary and Nakata, Nori and Abercrombie, Rachel and Dadi, Sireesh and Titov, Aleksei},
abstractNote = {This dataset contains a 1D P-wave attenuation (Q) profile, distributed acoustic sensing (DAS) microseismic P-wave spectra, and derived source parameters from the Delano 1OB well at the Cape Modern geothermal field. The data were collected during a stimulation period from mid-February to mid-March 2024 and include approximately 6,700 microseismic events. Frequency-independent Q values for the upper ~2.5 km are estimated using along-depth spectral ratios in the 20-200 Hz band, based on overlapping channel stacks. The dataset also includes well log measurements (e.g., density, P-wave velocity, and derived shear modulus) summarized using median and median absolute deviation statistics at each channel depth.
Microseismic source parameters are derived using a single-spectral fitting approach based on the Brune model, with event-level results reported as median values across selected channels that meet quality control criteria. The dataset further provides raw DAS P-wave arrival spectra calculated over 0.1 s windows, associated noise spectra, event origin times, and DAS channel configuration information, including spatial coordinates and depth conversion parameters. Python scripts are included to read, process, and visualize the data products. The methods used to compute attenuation and source parameters are described in Chang et al. (submitted), which will be linked upon publication: Chang, H., Nakata, N., Abercrombie, R. E., Dadi, S. \& Titov, T. (submitted). Characterizing shallow attenuation and microearthquake source parameters using a downhole DAS array at the Cape Modern geothermal field.},
url = {https://gdr.openei.org/submissions/1823},
year = {2026},
howpublished = {GDR, Lamont Doherty Earth Observatory, https://gdr.openei.org/submissions/1823},
note = {Accessed: 2026-05-17}
}
Details
Data from Mar 17, 2026
Last updated Apr 20, 2026
Submitted Mar 17, 2026
Organization
Lamont Doherty Earth Observatory
Contact
Hilary Chang
Authors
Original Source
https://gdr.openei.org/submissions/1823Research Areas
Keywords
geothermal, energy, DAS, fiber-optic, attenuation, microseismicity, P-wave, source parameters, stress drop, cape, forge, Q, spectra, seismic, EGS, Cape Modern, Utah FORGE, distributed acoustic sensing, P-wave attenuation, quality factor, Brune model, corner frequency, seismic moment, moment magnitude, well logs, downhole measurements, raw data, processed data, geomechanics, geophysicsDOE Project Details
Project Name Collection of Microearthquake Data for Mitigating, Characterizing, and Understanding Induced Seismicity for Optimizing the Performance of EGS (MEQ)
Project Lead Zachary Frone
Project Number 26525

