P&amp;lt;sup&amp;gt;3&amp;lt;/sup&amp;gt; – PetroPhysical  Property Database – a  global  compilation of lab measured rock properties

Bär, Kristian; Reinsch, Thomas; Sippel, Judith

doi:10.5194/essd-2020-15

Cited by 8 publications

(12 citation statements)

References 206 publications

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“…The presented database renounces to unify sample IDs as other researches did (e.g. Bär et al, 2020) and instead only documents the original sample ID that was chosen by the analyzer. If multiple measurements were performed on a single sample (e.g.…”

Section: Sample Informationmentioning

confidence: 99%

“…According to international standards, the documented terms used for the stratigraphic period and series are corresponding to the international chronostratigraphic chart of the IUGS v2020/01 (Cohen et al, 2013, updated). For each stratigraphic period and series, a respective stratigraphic ID is provided which correlates with the stratigraphic IDs published in Bär et al (2019a) and Bär et al (2020).…”

Section: Stratigraphymentioning

confidence: 99%

“…Due to the sparseness of reservoir samples, explained by the high costs of coring deep wells, petrophysical properties can be derived from outcrop analogue studies (e.g. Howell et al, 2014or Ukar et al, 2019 or literature data for suitable rock types (Bär et al, 2020). Nonetheless, even in rather isotropic, homogeneous material such as crystalline rocks, petrophysical properties can vary depending on their geochemical composition and texture but also physical appearance, micro-fractures or porosity as well as degree of alteration or weathering.…”

Section: Introductionmentioning

confidence: 99%

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Database of Petrophysical Properties of the Mid-German Crystalline High

Weinert¹,

Bär²,

Sass³

2020

Preprint

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Abstract. Petrophysical properties are a key element for reservoir characterization but also for interpreting the results of various geophysical exploration methods or geophysical well logs. Furthermore, petrophysical properties are commonly used to populate numerical models and are often critically governing the model results. Despite the common need of detailed petrophysical properties, data is still very scarce and often not available for the area of interest. Furthermore, both the online research for published property measurements or compilations, as well as dedicated measurements campaigns of the selected properties, which requires comprehensive laboratory equipment, can be very time-consuming and costly. To date, most published research results are often focused on a limited selection of parameters only and hence, researching various petrophysical properties, needed to account for the thermal-hydraulic-mechanical behavior of selected rock types or reservoir settings, can be very laborious. Since for deep geothermal energy in central Europe, the majority of the geothermal potential or resource is assigned to the crystalline basement, a comprehensive database of petrophysical properties comprising rock densities, porosity, rock matrix permeability, thermal properties (thermal conductivity and diffusivity, specific heat capacity) as well as rock mechanical properties as compressive and shear wave velocities, unconfined compressive strength, Young’s modulus, Poisson’s ratio, tensile strength and triaxial shear strength was compiled by measurements conducted at the HydroThermikum lab facilities of the Technical University of Darmstadt. Analyzed samples were mostly derived from abandoned or active quarries and natural or artificial outcrops such as road cuts, river banks or steep hill slopes. Furthermore, samples of the cored deep wells Worms 3 (samples from 2175–2195 m), Stockstadt 33R (samples from 2245–2267 m), Weiterstadt 1 (samples from 2502–2504 m), Tiefbohrung Groß-Umstadt/Heubach, B/89–B02 and the cored shallow wells Forschungsbohrung Messel GA 1 and 2 as well as GWM17 Zwingenberg, GWM1A Zwingenberg, Langenthal BK2/05, EWS267/1 Heubach, and archive samples of the Institut für Steinkonservierung e.V. in Mainz originating from a comprehensive large scale sampling campaign in 2007 were investigated. The database (Weinert et al. 2020b, https://doi.org/10.25534/tudatalib-278) aims to provide easily accessible petrophysical properties of the Mid-German Crystalline High, measured on 224 locations in Bavaria, Hesse, Rhineland-Palatinate and Thuringia and comprising 26,951 single data points. Each data point is addressed with the respective metadata such as sample identifier, sampling location, petrography and if applicable stratigraphy and sampling depth (in case of well samples).

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Section: Sample Informationmentioning

confidence: 99%

Section: Stratigraphymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Database of Petrophysical Properties of the Mid-German Crystalline High

Weinert¹,

Bär²,

Sass³

2020

Preprint

Self Cite

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“…In all other cases, a statistical approach may help to account for this intrinsic variability by characterizing physical rock properties by the mean values and standard deviations of populations of a sufficiently large number of individual measurements. Recently, a large number of petrophysical data were compiled into a publically available, digital petrophysical property data base (Bär et al 2020). This data, while still incomplete in spite of its large number of more than 75 000 individual measurements, may serve both as a source of individual data from specific locations and for calculating means and standard deviations for larger volumes of rock.…”

Section: Thermal Storage Propertiesmentioning

confidence: 99%

Thermal Storage and Transport Properties of Rocks, I: Heat Capacity and Latent Heat

Clauser¹

2020

Encyclopedia of Solid Earth Geophysics

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“…This data provides the basis for ongoing research in the study area, but also facilitates a wide field of applications in different disciplines, for e.g. a first assessment of the subsurface properties at early exploration stages (Bär et al, 2020), different modeling approaches, geostatistical and stochastical analyses or for the validation of different measurement methods.…”

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confidence: 99%

Petrophysical and mechanical rock property database of the Los Humeros and Acoculco geothermal fields (Mexico)

Weydt¹,

Ramírez-Guzmán²,

Pola³

et al. 2020

Preprint

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Abstract. Petrophysical and mechanical rock properties are key parameters for the characterization of the deep subsurface in different disciplines such as geothermal heat extraction, petroleum reservoir engineering or mining. They are commonly used for the interpretation of geophysical data and the parameterization of numerical models and thus are the basis for economic reservoir assessment. However, detailed information regarding petrophysical and mechanical rock properties for each relevant target horizon are often scarce, inconsistent or distributed over multiple publications. Therefore, subsurface models are often populated with generalized or assumed values resulting in high uncertainties. Furthermore, diagenetic, metamorphic and hydrothermal processes significantly affect the physiochemical and mechanical properties often leading to a high geological variability. A sound understanding of the controlling factors is needed to identify statistical and causal relationships between the properties as a basis for a profound reservoir assessment and modeling. Within the scope of the GEMex project (EU-H2020, GA Nr. 727550), which aims to develop new transferable exploration and exploitation approaches for enhanced and super-hot unconventional geothermal systems, a new workflow was applied to overcome the gap of knowledge of the reservoir properties. Two caldera complexes located in the northeastern Trans-Mexican Volcanic Belt – the Acoculco and Los Humeros caldera – were selected as demonstration sites. The workflow starts with outcrop analogue and reservoir core sample studies in order to define and characterize the properties of all key units from the basement to the cap rock as well as their mineralogy and geochemistry. This allows the identification of geological heterogeneities on different scales (outcrop analysis, representative rock samples, thin sections and chemical analysis) enabling a profound reservoir property prediction. More than 300 rock samples were taken from representative outcrops inside of the Los Humeros and Acoculco calderas, the surrounding areas and from exhumed fossil systems in Las Minas and Zacatlán. Additionally, 66 core samples from 16 wells of the Los Humeros geothermal field and 8 core samples from well EAC1 of the Acoculco geothermal field were collected. Samples were analyzed for particle and bulk density, porosity, permeability, thermal conductivity, thermal diffusivity, heat capacity, as well as ultra-sonic wave velocities, magnetic susceptibility and electric resistivity. Afterwards, destructive rock mechanical tests (point load tests, uniaxial and triaxial tests) were conducted to determine tensile strength, uniaxial compressive strength, Young’s modulus, Poisson’s ratio, bulk modulus, shear modulus, fracture toughness, cohesion and friction angle. In addition, XRD and XRF analyses were performed on 137 samples to provide information about the mineral assemblage, bulk geochemistry and the intensity of hydrothermal alteration. An extensive rock property database was created (Weydt et al. 2020, http://dx.doi.org/10.25534/tudatalib-201.2), comprising 34 parameters determined on more than 2,160 plugs. More than 31,000 data entries were compiled covering volcanic, sedimentary, metamorphic and igneous rocks from different ages (Jurassic to Holocene), thus facilitating a wide field of applications regarding resource assessment, modeling and statistical analyses.

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P<sup>3</sup> – PetroPhysical Property Database – a global compilation of lab measured rock properties

Cited by 8 publications

References 206 publications

Database of Petrophysical Properties of the Mid-German Crystalline High

Database of Petrophysical Properties of the Mid-German Crystalline High

Thermal Storage and Transport Properties of Rocks, I: Heat Capacity and Latent Heat

Petrophysical and mechanical rock property database of the Los Humeros and Acoculco geothermal fields (Mexico)

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