Lightning Dock Geothermal Field Data Package, Hidalgo County, New Mexico

Publicly accessible License 

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 -
Export Citation to RIS
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

Ghoulem Ifrene

Zanskar geothermal minerals inc

Santiago Rabade

Zanskar geothermal minerals inc

Ahinoam Pollack

Zanskar geothermal minerals inc

Robin Thibaut

Zanskar geothermal minerals inc

Zhouji Liang

Zanskar geothermal minerals inc

Junjie Yu

Zanskar geothermal minerals inc

Fangning Zheng

Zanskar geothermal minerals inc

DOE Project Details

Project Name GEOGYM: A MULTI-SITE BENCHMARK DATASET TO DE-RISK AND OPTIMIZE GEOTHERMAL EXPLORATION

Project Lead Mike Weathers

Project Number EE0011649

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