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SW New Mexico Play Fairway Analysis: BHT Geothermal Gradient Calculations
This file contains a compilation of BHT data from oil wells in southwestern New Mexico. Surface temperature is calculated using the collar elevation. An estimate of geothermal gradient is calculated using the estimated surface temperature and the uncorrected BHT data.
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New Mexico Geothermal Play Fairway Analysis from LANL
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This submission contains geospatial (GIS) data on water table gradient and depth, subcrop gravity and magnetic, propsectivity, heat flow, physiographic, boron and BHT for the Southwest New Mexico Geothermal Play Fairway Analysis by LANL Earth & Environmental Sciences. GIS data is in ArcGIS map package format.
New Mexico Geothermal Play Fairway Analysis from LANL
공공데이터포털
This submission contains geospatial (GIS) data on water table gradient and depth, subcrop gravity and magnetic, propsectivity, heat flow, physiographic, boron and BHT for the Southwest New Mexico Geothermal Play Fairway Analysis by LANL Earth & Environmental Sciences. GIS data is in ArcGIS map package format.
New Mexico Play Fairway Analysis: Gamma Ray Logs and Heat Generation Calculations for SW New Mexico
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For the New Mexico Play fairway Analysis project, gamma ray geophysical well logs from oil wells penetrating the Proterozoic basement in southwestern New Mexico were digitized. Only the portion of the log in the basement was digitized. The gamma ray logs are converted to heat production using the equation (Bucker and Rybach, 1996) : A[microW/m3] = 0.0158 (Gamma Ray [API] - 0.8).
New Mexico Play Fairway Analysis: Wells and Springs with Discharge Temperature Higher than 30 deg C
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This submission includes three files from two sources. One file is derived from USGS data and includes a series of manipulations to evaluate only shallow wells with high estimated geothermal gradients. Two other files are springs and wells with discharge temperatures above 30 deg C from the NMBGMR Aquifer Mapping database
SW New Mexico Play Fairway Analysis: Oil Well Formation Tops
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Rock formation top picks from oil wells from southwestern New Mexico from scout cards and other sources. There are differing formation tops interpretations for some wells, so for those wells duplicate formation top data are presented in this file.
SW New Mexico Play Fairway Analysis: Oil Well Formation Tops
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Rock formation top picks from oil wells from southwestern New Mexico from scout cards and other sources. There are differing formation tops interpretations for some wells, so for those wells duplicate formation top data are presented in this file.
New Mexico Play Fairway Analysis: Heat Flow
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This is an updated and simplified version of the New Mexico heat flow data already on the NGDS that was used for Play Fairway analysis.
New Mexico Play Fairway Analysis: New Mexico Available Wells for Geochemical Sampling
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This is a map package that is used to show the wells in New Mexico that may be available for geochemical sampling.
Tularosa Basin Play Fairway: Weights of Evidence Models
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These models are related to weights of evidence play fairway anlaysis of the Tularosa Basin, New Mexico and Texas. They were created through Spatial Data Modeler: ArcMAP 9.3 geoprocessing tools for spatial data modeling using weights of evidence, logistic regression, fuzzy logic and neural networks. It used to identify high values for potential geothermal plays and low values. The results are relative not only within the Tularosa Basin, but also throughout New Mexico, Utah, Nevada, and other places where high to moderate enthalpy geothermal systems are present (training sites).
Tularosa Basin Play Fairway Analysis: Raw MT Data for the McGregor Range, Fort Bliss, New Mexico
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This is a zipped file containing raw magnetotelluric (MT) data collected as part of the Phase 2 Tularosa Basin geothermal play fairway analysis project in New Mexico. The data for each MT station are in standard .edi text files which are accompanied by graphic files illustrating details. These data cover part of McGregor Range, Fort Bliss, New Mexico. The MT survey was done by Quantec Geoscience.