oregon-cascades-play-fairway-analysis-faults-and-heat-flow-maps

The National Renewable Energy Laboratory in the US specializes in the research and development of renewable energy, energy efficiency, energy systems integration, and sustainable transportation.

national-renewable-energy-laboratory-nrel

National Renewable Energy Laboratory (NREL)

This fault density probability surface was created using simple probability kriging, with a log-normal transformation of the data. The following density parameters were used: probability >= 0.5 km length/area considering a search radius of 5 km and a cell size of 1 km. The input faults were from the USGS Quaternary fault and fold database of the United States and faults mapped by team members at Oregon State University. 

Oregon Cascades Fault Density Probability.zip

This is a probability map of heat flow in the Cascades in Oregon where a threshold of 80 wM/m squared was used. Probability was calculated using simple kriging with declustering. The data used for this statistical surface were down-loaded from the Southern Methodist University Geothermal Laboratory.

Oregon Cascades Heat Flow Probability.zip

Faults are characterized as: (1) Highest Confidence: Clear offset of previously mapped geologic units. Previously mapped on published sources (labeled in attribute table). Clear topographic expression of fault scarp. Admissible with regional structure trends. (2) No clear offset of previously mapped geologic units (many units are very broadly defined and internally complex) Probable intra-unit offset. Previously mapped on published sources (labeled in attribute table). Clear topographic expression of fault scarp. Admissible with regional structure trends. (3) Intermediate Confidence/New Fault: These are interpretations of faults never mapped before. No offset of previously mapped geologic units. Probable intra-unit offset. Not previously mapped on published maps. Clear topographic expression of fault scarp. Admissible with regional structure trends. Interpreter is very confident that this is a fault revealed by LiDAR that has not been previously recognized. (4) No offset of previously mapped geologic units. Not previously mapped on published sources. Moderate topographic expression of scarp. Admissible with regional structure trends. Interpreter is moderately confident that this is a fault revealed by LiDAR that has not been previously recognized. (5) Lowest Confidence: No offset of previously mapped geologic units. Not previously mapped on published sources. Weak topographic expression of scarp. Interpreter has low confidence that this is a fault revealed by LiDAR that has not been previously recognized. These are sublinear trends that have potential to be faults, but are unclear. These features are mapped so that they are not ignored, and so that future reviewers do not suspect them to be features overlooked during interpretation.

Oregon Faults.zip

Link to the project page for the Southern Methodist University node of the National Geothermal Data System from which the data used for the heat flow probability map were downloaded.

SMU Node of the NGDS

Oregon Cascades Play Fairway Analysis: Faults and Heat Flow Maps

oregon-cascades-play-fairway-analysis-raster-datasets-and-models

This is the mafic rock layer used in the development of the Oregon Cascades heat composite risk segment used for play fairway analysis. Mafic erruptive centers, taken from the USGS Oregon state geologic map, were buffered at 2km and then rasterized. Values of 1 indicate the presence of mafic extrusive areas and values of 0 indicate no mafic extrusive areas. Extensive flows are not mapped.

Basaltic Rocks.zip

This is the Quaternary felsic rock layer used in the development of the Oregon Cascades heat composite risk segment used for play fairway analysis. Felsic erruptive centers, taken from the USGS Oregon state geologic map, were buffered at 2km and then rasterized. Values of 1 indicate the presence of felsic eruptive areas and values of 0 indicate no felsic eruptive areas. Extensive flows are not mapped

Felsic Rocks.zip

This is the heat composite risk segment (CRS) used for play fairway analysis in the Oregon Cascades. This CRS was created using probability kriging statistical surfaces representing (1) Quaternary felsic intrusive and extrusive rock with a weighting of 0.24; (2) Quaternary mafic extrusive rock with a weighting of 0.06; (3) heat flow with a weighting of 0.15; and (4) magnetotelluric conductors with a weighting of 0.55. These data were integrated using the Weighted Sums method in ArcGIS. This dataset has been normalized with a range of 0-1.

Heat Composite Risk Segment.zip

This is the permeability composite risk segment (CRS) used for play fairway analysis in the Oregon Cascades. CRS was created using probability kriging statistical surfaces representing (1) Quaternary fault density with a weighting of 0.65; (2) Magnetotelluric conductors with a weighting of 0.35. These data were integrated using the Weighted Sums method in ArcGIS. This dataset has been normalized with a range of 0-1.

Permeability Composite Risk Segment.zip

This is a final geothermal play fairway analysis model of the Oregon Cascades. It was created using a heat compostite risk segment with a weighting of 0.65 and a permeability composite risk segment with a weighting of 0.35. Data integration was done using the ArcGIS Weighted Sum method. This dataset has been normalized to a range of 0-1.

Oregon Cascades PFA Model.zip

Oregon Cascades Play Fairway Analysis: Raster Datasets and Models

se-great-basin-play-fairway-analysis-heat-and-permeability-crs

This map represents the probability of magnetotelluric conductor occurrence. It was created by the application of simple probability kriging, with declustering, on MT conductor data points. This was used in the heat and permeability composite risk segment maps for geothermal play fairway analysis in the southeastern Great Basin.

MT Conductor Probability.zip

Fault critical stress layer used in the fracture permeability composite risk segment for the eastern Great Basin geothermal play fairway model. Localized zones were constrained within a circle of 5 km diameter. Notable east-trending regional lineaments, which control Miocene and younger igneous activity, are also included.

Critical Stress.zip

This is the Quaternary rhyolite map, which was buffered at 2 km, used in the heat composite risk segment for geothermal play fairway modeling.

Quaternary Rhyolite.zip

This map layer shows mafic extrusions in the southeastern Great Basin buffered at 2 km. This dataset was used in the heat composite risk segment for geothermal play fairway analysis

Quaternary Basalt.zip

This is the Quaternary fault density probability map used in the creation of the permeability composite risk segment layer for geothermal play fairway analysis in the southeastern Great Basin. Quaternary fault density was first mapped at 0.5 km length/area with a search radius of 5 km with a cell size of 1 km using the USGS Quaternary fault shapefile as input. Probability kriging (Ordinary) was then applied to create this map.

Quaternary Fault Density Probability.zip

This is the permeability composite risk segment (CRS) used in geothermal play fairway analysis of the southeastern Great Basin. This CRS was created using the Weighted Sum method to integrate fault density (0.4 weighting), critical stress (0.4 weighting), and magnetotelluric conductors (0.2 weighting).

SE Great Basin Play Fairway Analysis Heat and Permeability CRS

tularosa-basin-play-fairway-analysis-model

Tularosa Basin weights of evidence play fairway analysis training site points from known geothermal systems and hot springs. The training sites in this dataset were taken from hot springs and know geothermal areas in the Great Basin and New Mexico. These were used in weights of evidence PFA analysis.

Weights of Evidence Training Sites.zip

This is the heat composite risk segment of the Tularosa Basin, New Mexico and Texas -- used for geothermal play fairway analysis. Temperature gradient, quartz geothermometer, and heat flow data were integrated using the Union overlay method. Classification was as follows. Temperature Gradients: 0 degC/km – 60 degC/km = High Risk; 60 degC/km – 80 degC/km = Medium Risk; > 80 degC/km = Low Risk. Quartz Geothermometers: 0 degC – 60 degC = High Risk; 60 degC – 80 degC = Medium Risk; > 80 degC = Low Risk. Heat Flow: 55 – 70 = High Risk; 70 – 85 = Medium Risk; > 85 = Low Risk.

This is the final deterministic geothermal play fairway analysis model of the Tularosa Basin, New Mexico and Texas. This layer was created by applying Dissolve to the Union overlay version to simplify polygons. Petroleum industry logic was used for this model (Reference: Fraser, et al., 2001).

Deterministic PFA Dissolve.zip

This is the final deterministic certainty layer for Tularosa Basin deterministic play fairway analysis. Certainty was based upon the presence, spatial correlation, and agreement of heat composite risk segments.

Deterministic Certainty.zip

This is a deterministic geothermal play fairway analysis model of the Tularosa Basin, New Mexico and Texas. It was created using petroleum industry logic (see paper referenced below). Composite risk segment (CRS) maps representing heat, fracture permeability, and ground water were fused using the Union Overlay method. Polygons were then classified as low, medium, or high risk based upon input CRS values (Fraser et al., 2001).

Deterministic PFA Model.zip

Tularosa Basin Play Fairway Analysis Model

tularosa-basin-play-fairway-analysis-groundwater-heat-flow-relief-map

Heat flow map of the Tularosa Basin, New Mexico and Texas, vectorized from the SMU 2011 Geothermal Laboratory Heat Flow Map of the Conterminous United States (linked in this submission)

Tularosa Basin Heat Flow.zip

Groundwater composite risk segment (CRS) used in geothermal play fairway models of the Tularosa Basin, New Mexico and Texas. This data set was created from wells which penetrated ground water, springs, and the Lake Otero shoreline. Each dataset was buffered at 2 km and Union overlain. The polygons were then simplified using Dissolve. 

Tularosa Basin Groundwater CRS.zip

This relief map was generated from a 10m digital elevation composite.

Tularosa Basin Shaded Relief.zip

SMU 2011 Geothermal Laboratory Heat Flow Map of the Conterminous United States used in creating the heat flow map included in this submission.

SMU 2011 Geothermal Laboratory Heat Flow Map

Link to website containing the well point data used to construct the groundwater composite risk assessment included in this submission.

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