TY  - JOUR
A1  - Christ, Nicolas
A1  - Maerz, Sven
A1  - Kutschera, Edgar
A1  - Kwiecien, Ola
A1  - Mutti, Maria
T1  - Palaeoenvironmental and diagenetic reconstruction of a closed-lacustrine carbonate system
BT  - the challenging marginal setting of the Miocene Ries Crater Lake (Germany)
JF  - Sedimentology : the journal of the International Association of Sedimentologists
N2  - Chemostratigraphic studies on lacustrine sedimentary sequences provide essential insights on past cyclic climatic events, on their repetition and prediction through time. Diagenetic overprint of primary features often hinders the use of such studies for palaeoenvironmental reconstruction. Here the potential of integrated geochemical and petrographic methods is evaluated to record freshwater to saline oscillations within the ancient marginal lacustrine carbonates of the Miocene Ries Crater Lake (Germany). This area is critical because it represents the transition from shoreline to proximal domains of a hydrologically closed system, affected by recurrent emergent events, representing the boundaries of successive sedimentary cycles. Chemostratigraphy targets shifts related to subaerial exposure and/or climatic fluctuations. Methods combine facies changes with C-13-O-18 chemostratigraphy from matrix carbonates across five closely spaced, temporally equivalent stratigraphic sections. Isotope composition of ostracod shells, gastropods and cements is provided for comparison. Cathodoluminescence and back-scatter electron microscopy were performed to discriminate primary (syn-)depositional, from secondary diagenetic features. Meteoric diagenesis is expressed by substantial early dissolution and dark blue luminescent sparry cements carrying negative C-13 and O-18. Sedimentary cycles are not correlated by isotope chemostratigraphy. Both matrix C-13 and O-18 range from ca -75 to +40 parts per thousand and show clear positive covariance (R=097) whose nature differs from that of previous basin-oriented studies on the lake: negative values are here unconnected to original freshwater lacustrine conditions but reflect extensive meteoric diagenesis, while positive values probably represent primary saline lake water chemistry. Noisy geochemical curves relate to heterogeneities in (primary) porosity, resulting in selective carbonate diagenesis. This study exemplifies that ancient lacustrine carbonates, despite extensive meteoric weathering, are able to retain key information for both palaeoenvironmental reconstruction and the understanding of diagenetic processes in relation to those primary conditions. Also, it emphasizes the limitation of chemostratigraphy in fossil carbonates, and specifically in settings that are sensitive for the preservation of primary environmental signals, such as lake margins prone to meteoric diagenesis.
KW  - Lacustrine carbonates
KW  - meteoric diagenesis
KW  - Miocene
KW  - ostracod shells
KW  - palaeoenvironmental reconstruction
KW  - sedimentary cycles
KW  - subaerial exposure
KW  - C-13 and O-18 chemostratigraphy
Y1  - 2017
U6  - https://doi.org/10.1111/sed.12401
SN  - 0037-0746
SN  - 1365-3091
VL  - 65
IS  - 1
SP  - 235
EP  - 262
PB  - Wiley
CY  - Hoboken
ER  - 
TY  - THES
A1  - Maerz, Sven
T1  - Analyzing pore systems through comprehensive digital image analysis (DIA)
T1  - Analyse von Porensystemen durch umfassende digitale Bildanalyse (DIA)
BT  - quantifying pore type geometry, detecting effective porosity and  reconstructing pore system evolution
BT  - Quantifizierung der Geometrie von Porentypen, Erfassung der effektiven Porosität und Rekonstruktion der Porenraumentwicklung
N2  - Carbonates tend to have complex pore systems which are often composed of distinct assemblages of genetically and geometrically different pore types at various scales (e.g., Melim et al., 2001; Lee et al., 2009; He et al., 2014; Dernaika & Sinclair, 2017; Zhang et al., 2017). Such carbonate-typical multimodal pore systems are the result of both primary depositional processes and multiple stages of postdepositional modifications, causing small-scale heterogeneities in pore system properties and leading to the co-occurrence of both effective and ineffective pore types. These intrinsic variations in pore type effectiveness are the main reason for the often low correlation between porosity and permeability in carbonate pore systems (e.g., Mazzullo 2004; Ehrenberg & Nadeau, 2005; Hollis et al., 2010; He et al., 2014; Rashid et al., 2015; Dernaika & Sinclair, 2017), as it is also true for the marginal lacustrine carbonates studied in this thesis. However, by extracting interconnected and thus effective pore types, and simultaneously excluding isolated and ineffective pores, the understanding and prediction of permeability for given porosity can be highly enhanced (e.g., Melim et al., 2001; Zhang et al., 2017). In this thesis, a step-by-step workflow based on digital image analysis (DIA) is presented and performed on 32 facies-representative samples of marginal lacustrine carbonates from the Middle Miocene Nördlinger Ries crater lake (Southern Germany), resulting in 77 mean values of pore type effectiveness which are based on 23,508 individual pore geometry data. By using pore shape factor γ (sensu Anselmetti et al., 1998) as a parameter to quantitatively describe pore shape complexity and therefore pore interconnectivity, the potential contribution (Kcontr.) of each pore type to total permeability (Ktotal) is calculated, and the most effective pore types are then identified. As a result, primary interpeloidal pores and secondary vugs are the most effective pore types in the studied marginal lacustrine succession, mainly due to their generally big size and complex shape, leading to an excellent interconnection between both pore types and consequently to the establishment of a highly effective pore network. Both pore types together compose the pore system of the peloidal grainstone facies. Therefore, this lithofacies type has been identified as the sedimentary facies with highest porosity-permeability properties in this marginal lacustrine succession. By applying the DIA-based method to 23 additional samples from the studied outcrop which all show extensive partial to complete cementation of preexisting pores, the impact of cementation on pore geometry and therefore on porosity and permeability is quantified. This results in a cementation reduction value for each relevant parameter which can then be used to enhance precision of predicting porosity and permeability within the studied succession. Furthermore, the concept of using pore shape complexity as a proxy parameter for pore system effectiveness is tested by applying an independent method (i.e., fluid flow simulation) to the dataset. DIA is then used once again to evaluate the outcome of fluid flow simulation. The results confirm the previous findings that interpeloidal pores and vugs together build up the most effective pore system in the Ries lake carbonates. Finally, the extraction of the interconnected (i.e., effective) pore network leads to an improved correlation between porosity and permeability within the studied carbonates. The step-by-step workflow described in this thesis provides a quantitative petrographic method to identify and extract effective porosity from the pore system, which is crucial for understanding how carbonate pore systems generate permeability. This thesis also demonstrates that pore shape complexity is the most important geometrical parameter controlling pore interconnection and consequently the formation of effective porosity. It further emphasizes that pore shape factor γ (sensu Anselmetti et al. 1998) is a very robust and scale-independent proxy parameter to quantify pore type effectiveness. Additionally, DIA proves to be an ideal tool to directly link porosity and permeability to their mutual origin: the rock fabric and associated pore structure.
N2  - Der Porenraum eines Karbonatgesteins ist zumeist aus einer spezifischen Vergesellschaftung verschiedenster Porentypen aufgebaut, die eine unterschiedliche Herkunft aufweisen und zusätzlich in ihrer Form und Größe stark variieren können (e.g., Melim et al., 2001; Lee et al., 2009; He et al., 2014; Dernaika & Sinclair, 2017; Zhang et al., 2017). Diese für Karbonate typischen multimodalen Porensysteme entstehen sowohl durch primäre Ablagerungsprozesse, als auch durch mehrmalige Modifikation des Porenraumes nach Ablagerung des Sediments. Dies führt zu einer ungleichen Verteilung der Porenraumeigenschaften auf engstem Raum und das zeitgleiche Auftreten von effektiven und ineffektiven Poren. Diese immanenten Unterschiede in der Effektivität einzelner Porentypen sind der Hauptgrund für die häufig sehr niedrige Korellation zwischen Porosität und Permeabilität in Karbonaten (e.g., Mazzullo 2004; Ehrenberg & Nadeau, 2005; Hollis et al., 2010; He et al., 2014; Rashid et al., 2015; Dernaika & Sinclair, 2017). Durch die Extraktion von miteinander verbundenen und somit effektiven Porentypen jedoch kann das Verständnis und die Vorhersage der Permeabilität für einen gegeben Porositätswert stark verbessert werden (e.g., Melim et al., 2001; Zhang et al., 2017). Dazu wird in dieser Arbeit eine auf der digitalen Bildanalyse (DIA) beruhende Methode vorgestellt, mit der schrittweise die Effektivität von Poren aus den analysierten mittelmiozänen lakustrinen Karbonaten des Nördlinger Ries Kratersees (Süddeutschland) berechnet werden kann. Mithilfe des Porenformfaktors  (sensu Anselmetti et al., 1998), der als Parameter zur Quantifizierung der Interkonnektivität zwischen Poren dient, wird der potentiellen Beitrag an Permeabilität jedes Porentyps zur Gesamtpermeabilität bestimmt. Somit können die effektivsten Porentypen innerhalb der analysierten Karbonate identifiziert werden.  Desweiteren wird die digitale Bildanalyse dazu benutzt, zementierte Porenräume zu extrahieren, um den Einfluss der Zementation auf die Porenraumeigenschaften zu quantifizieren. Durch eine unabhängige Methode (Fluid-Flow-Simulation), deren Ergebnisse wiederum mit der digitalen Bildanalyse ausgewertet werden, können die vorherigen Erkentnisse bestätigt werden: Interpeloidale Poren und Lösungsporen sind die beiden effektivsten Porentypen im Porenraum der Riesseekarbonate. Die Extraktion des miteinander verbundenen (d.h. effektiven) Porennetzwerkes führt schließlich zu einer erheblich verbesserten Korrelation zwischen Porosität und Permeabilität in den analysierten Karbonaten. Die in dieser Arbeit beschriebene Methode bietet ein quantitatives petrographisches Werkzeug, mit dessen Hilfe die effektive Porosität eines Porenraumes extrahiert werden kann. Dies führt zu einem besseren Verständnis darüber, wie Porensysteme von Karbonaten Permeabilität erzeugen. Diese Dissertation zeigt auch, dass die Formkomplexität von Poren einer der wichtigsten Parameter ist, der die Interkonnektivität zwischen einzelnen Poren und somit die Entstehung von effektiver Porosität steuert. Außerdem erweist sich die digitale Bildanalyse als ausgezeichnetes Werkzeug um die Porosität und Permeabilität direkt an ihren gemeinsamen Ursprung zu knüpfen: die Gesteinstextur und die damit assoziierte Porenstruktur.
KW  - digital image analysis
KW  - digitale Bildanalyse
KW  - effective porosity
KW  - effektive Porosität
KW  - carbonate pore types
KW  - Porentypen in Karbonate
Y1  - 2019
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-445880
ER  -