Lightning Dock Geothermal Field Data Package, Hidalgo County, New Mexico
This submission is a curated geoscience, well and plant-operations data package for the Lightning Dock geothermal field in the Animas Valley, Hidalgo County, south-western New Mexico, a liquid-dominated system produced for binary (ORC) power generation. It covers well-by-well data for 41 wells, including logs, drilling and completion records, flow tests, pressure-temperature surveys, production and injection time series, and directional survey compilations; inter-well tracer test campaigns from 2012 through 2019; geophysics comprising magnetotellurics, aeromagnetics, gravity and LiDAR; the daily plant operations record covering January 2014 to August 2026; shallow groundwater monitoring; GIS layers with a QGIS project that loads them; and fluid and gas geochemistry.
Read the included data package guide first: it describes each dataset, the naming conventions the files follow, and the units. Two prerequisites are worth noting. The daily operations table carries one row per source spreadsheet rather than one row per day, so it should be read alongside its accompanying column-description PDF before analysis. The GIS project requires QGIS and uses paths relative to its own folder, so that dataset should be kept intact rather than having individual layers moved. Well identifiers are consistent throughout, so logs, tests, operations columns and GIS well layers can be joined on the well name.
Citation Formats
TY - DATA
AB - This submission is a curated geoscience, well and plant-operations data package for the Lightning Dock geothermal field in the Animas Valley, Hidalgo County, south-western New Mexico, a liquid-dominated system produced for binary (ORC) power generation. It covers well-by-well data for 41 wells, including logs, drilling and completion records, flow tests, pressure-temperature surveys, production and injection time series, and directional survey compilations; inter-well tracer test campaigns from 2012 through 2019; geophysics comprising magnetotellurics, aeromagnetics, gravity and LiDAR; the daily plant operations record covering January 2014 to August 2026; shallow groundwater monitoring; GIS layers with a QGIS project that loads them; and fluid and gas geochemistry.
Read the included data package guide first: it describes each dataset, the naming conventions the files follow, and the units. Two prerequisites are worth noting. The daily operations table carries one row per source spreadsheet rather than one row per day, so it should be read alongside its accompanying column-description PDF before analysis. The GIS project requires QGIS and uses paths relative to its own folder, so that dataset should be kept intact rather than having individual layers moved. Well identifiers are consistent throughout, so logs, tests, operations columns and GIS well layers can be joined on the well name.
AU - Ifrene, Ghoulem
A2 - Rabade, Santiago
A3 - Pollack, Ahinoam
A4 - Thibaut, Robin
A5 - Liang, Zhouji
A6 - Yu, Junjie
A7 - Zheng, Fangning
DB - Geothermal Data Repository
DP - Open EI | National Laboratory of the Rockies
DO -
KW - Lightning Dock
KW - Well Logs
KW - GIS
KW - Production data
KW - Geothermal
KW - Energy
KW - Tracer Test
KW - Power Generation
KW - Geochemistry
KW - Geophysics
KW - Groundwater
KW - Binary System
KW - ORC
KW - downhole temperature
KW - Bouguer
KW - Magnetotelluric
KW - inversion models
KW - aeromagnetics
KW - gravity survey
KW - LiDAR
KW - Quaternary fault
KW - Geology
KW - Mud Logs
KW - temperature
LA - English
DA - 2026/08/19
PY - 2026
PB - Zanskar Geothermal
T1 - Lightning Dock Geothermal Field Data Package, Hidalgo County, New Mexico
UR - https://gdr.openei.org/submissions/1856
ER -
Ifrene, Ghoulem, et al. Lightning Dock Geothermal Field Data Package, Hidalgo County, New Mexico. Zanskar Geothermal, 19 August, 2026, Geothermal Data Repository. https://gdr.openei.org/submissions/1856.
Ifrene, G., Rabade, S., Pollack, A., Thibaut, R., Liang, Z., Yu, J., & Zheng, F. (2026). Lightning Dock Geothermal Field Data Package, Hidalgo County, New Mexico. [Data set]. Geothermal Data Repository. Zanskar Geothermal. https://gdr.openei.org/submissions/1856
Ifrene, Ghoulem, Santiago Rabade, Ahinoam Pollack, Robin Thibaut, Zhouji Liang, Junjie Yu, and Fangning Zheng. Lightning Dock Geothermal Field Data Package, Hidalgo County, New Mexico. Zanskar Geothermal, August, 19, 2026. Distributed by Geothermal Data Repository. https://gdr.openei.org/submissions/1856
@misc{GDR_Dataset_1856,
title = {Lightning Dock Geothermal Field Data Package, Hidalgo County, New Mexico},
author = {Ifrene, Ghoulem and Rabade, Santiago and Pollack, Ahinoam and Thibaut, Robin and Liang, Zhouji and Yu, Junjie and Zheng, Fangning},
abstractNote = {This submission is a curated geoscience, well and plant-operations data package for the Lightning Dock geothermal field in the Animas Valley, Hidalgo County, south-western New Mexico, a liquid-dominated system produced for binary (ORC) power generation. It covers well-by-well data for 41 wells, including logs, drilling and completion records, flow tests, pressure-temperature surveys, production and injection time series, and directional survey compilations; inter-well tracer test campaigns from 2012 through 2019; geophysics comprising magnetotellurics, aeromagnetics, gravity and LiDAR; the daily plant operations record covering January 2014 to August 2026; shallow groundwater monitoring; GIS layers with a QGIS project that loads them; and fluid and gas geochemistry.
Read the included data package guide first: it describes each dataset, the naming conventions the files follow, and the units. Two prerequisites are worth noting. The daily operations table carries one row per source spreadsheet rather than one row per day, so it should be read alongside its accompanying column-description PDF before analysis. The GIS project requires QGIS and uses paths relative to its own folder, so that dataset should be kept intact rather than having individual layers moved. Well identifiers are consistent throughout, so logs, tests, operations columns and GIS well layers can be joined on the well name.},
url = {https://gdr.openei.org/submissions/1856},
year = {2026},
howpublished = {Geothermal Data Repository, Zanskar Geothermal, https://gdr.openei.org/submissions/1856},
note = {Accessed: 2026-09-28}
}
Details
Data from Aug 19, 2026
Last updated Sep 15, 2026
Submitted Aug 20, 2026
Organization
Zanskar Geothermal
Contact
Ghoulem Ifrene
Authors
Keywords
Lightning Dock, Well Logs, GIS, Production data, Geothermal, Energy, Tracer Test, Power Generation, Geochemistry, Geophysics, Groundwater, Binary System, ORC, downhole temperature, Bouguer, Magnetotelluric, inversion models, aeromagnetics, gravity survey, LiDAR, Quaternary fault, Geology, Mud Logs, temperatureDOE Project Details
Project Name GEOGYM: A MULTI-SITE BENCHMARK DATASET TO DE-RISK AND OPTIMIZE GEOTHERMAL EXPLORATION
Project Lead Mike Weathers
Project Number EE0011649

