Mapping alteration in geothermal drill core using a field portable spectroradiometer

Calvin, W. M.; Pace, Elizabeth L.

doi:10.1016/j.geothermics.2016.01.005

Cited by 42 publications

(24 citation statements)

References 33 publications

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“…The technique is sensitive to molecular bonds and is particularly useful for diagnostically identifying a wide range of clay minerals. In previous pilot studies on geothermal drill core, phyllosilicates, zeolites, opal, calcite, iron oxides, and hydroxides have been successfully identified (Calvin and Pace, 2016).…”

Section:   mentioning

confidence: 99%

Frontier Observatory for Research in Geothermal Energy: Phase 1 Topical Report Fallon, NV

Blankenship

Akerley²,

Blake

et al. 2016

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Further dissemination authorized to the Department of Energy and DOE contractors only; other requests shall be approved by the originating facility or higher DOE programmatic authority. During Phase 2A, 2B, and 2C, the Fallon FORGE site will be instrumented and readied to test new technologies and techniques in Phase 3. In Phase 2A, an Environmental Information Volume will be completed while a schedule to complete the NEPA process and obtain required permits will be completed. Additionally, preliminary telemetered seismic monitoring of the site will be deployed to complement existing seismic monitoring activities at the Fallon FORGE site. During Phase 2B all reviews, permits, and approvals initiated in Phase 2A will be obtained in accordance with NEPA and other local and state regulations. It is anticipated that these permits will be obtained early in Phase 2B and additional site characterization allowed by NEPA and applicable permits to begin. Phase 2B will also include the completion of the Induced Seismicity Mitigation Plan that will incorporate recorded site MEQ data and associated analyses into a Probabilistic Seismic Hazard Analysis, Criteria for Damage and Vibration, and Mitigation Actions for field testing. In 2C the site is brought to readiness for FORGE implementation through, at a minimum, additional surface and subsurface site characterization, deployment of high resolution seismic monitoring, geologic model refinement, and reservoir modeling. Additionally, a Science and Technology Analysis Team (STAT) will be assembled to provide technical guidance to the FORGE team and to ensure DOE objectives are incorporated in FORGE execution. As a result of working with the STAT to assess current technology, establish technical baseline information and performance metrics for FORGE work, and review the FORGE implementation plan, topics for the first round of competitive solicitations will be developed and a draft solicitation produced. Where applicable and appropriate, DOE may elect to have the Fallon FORGE team incorporate testing of methods and tools developed by separately funded DOE researchers into FORGE activities.

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Section:   mentioning

confidence: 99%

Frontier Observatory for Research in Geothermal Energy: Phase 1 Topical Report Fallon, NV

Blankenship

Akerley²,

Blake

et al. 2016

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“…Hyperspectral imaging is currently being used in the mining and exploration industries as an alternative tool to complement traditional logging techniques and to provide a rapid and non-invasive analytical method to obtain mineralogical information [4][5][6][7]. Typical hyperspectral core imaging systems can deliver data from a whole core tray (which holds approximately 5 m of core) in a matter of seconds.…”

Section: Introductionmentioning

confidence: 99%

“…One of the most common procedures makes use of some of available tools in a software called Environment for Visualizing Images (ENVI, Exelis Visual Information Solutions, Boulder, Colorado). Such tools comprise endmember extraction, identification of the minerals using the Spectral Analysis or Material Identification by comparison to a specific library in the software (e.g., in ENVI) or online reference (e.g., USGS), and finally the mineral mapping task using similarity measure algorithms or determination of partial abundances using unmixing algorithms [5,[15][16][17].…”

Section: Introductionmentioning

confidence: 99%

Drill-Core Mineral Abundance Estimation Using Hyperspectral and High-Resolution Mineralogical Data

et al. 2020

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Due to the extensive drilling performed every year in exploration campaigns for the discovery and evaluation of ore deposits, drill-core mapping is becoming an essential step. While valuable mineralogical information is extracted during core logging by on-site geologists, the process is time consuming and dependent on the observer and individual background. Hyperspectral short-wave infrared (SWIR) data is used in the mining industry as a tool to complement traditional logging techniques and to provide a rapid and non-invasive analytical method for mineralogical characterization. Additionally, Scanning Electron Microscopy-based image analyses using a Mineral Liberation Analyser (SEM-MLA) provide exhaustive high-resolution mineralogical maps, but can only be performed on small areas of the drill-cores. We propose to use machine learning algorithms to combine the two data types and upscale the quantitative SEM-MLA mineralogical data to drill-core scale. This way, quasi-quantitative maps over entire drill-core samples are obtained. Our upscaling approach increases result transparency and reproducibility by employing physical-based data acquisition (hyperspectral imaging) combined with mathematical models (machine learning). The procedure is tested on 5 drill-core samples with varying training data using random forests, support vector machines and neural network regression models. The obtained mineral abundance maps are further used for the extraction of mineralogical parameters such as mineral association.

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“…The analysis of drill-core hyperspectral data has often been described as a chain of techniques available in well-established software [10], [11], [15]- [20]. A manual or semi-automatic analysis of the spectrum absorption properties (e.g., depth, width, and wavelength position) has been also applied in the literature to map specific minerals [9], [21]- [27].…”

Section: Introductionmentioning

confidence: 99%

Drill-Core Hyperspectral and Geochemical Data Integration in a Superpixel-Based Machine Learning Framework

Acosta

Khodadadzadeh

Tolosana‐Delgado

et al. 2020

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Mapping alteration in geothermal drill core using a field portable spectroradiometer

Cited by 42 publications

References 33 publications

Frontier Observatory for Research in Geothermal Energy: Phase 1 Topical Report Fallon, NV

Frontier Observatory for Research in Geothermal Energy: Phase 1 Topical Report Fallon, NV

Drill-Core Mineral Abundance Estimation Using Hyperspectral and High-Resolution Mineralogical Data

Drill-Core Hyperspectral and Geochemical Data Integration in a Superpixel-Based Machine Learning Framework

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