2017
DOI: 10.1111/jpg.12685
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Porosity and Permeability Variations in a Tight Gas Sandstone Reservoir Analogue, Westphalian D, Lower Saxony Basin, Nw Germany: Influence of Depositional Setting and Diagenesis

Abstract: Understanding the spatial variability of reservoir properties in tight gas sandstones can significantly reduce uncertainties in reservoir characterization. This study focuses on two outcrops of Upper Carboniferous (Westphalian D) fluvial sandstones in the southern part of the Lower Saxony Basin, NW Germany, which are analogues for tight, gas‐producing reservoir rocks at fields in the north of the basin. Large‐scale differences in reservoir quality occur between the two outcrops which are separated by a distanc… Show more

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Cited by 43 publications
(21 citation statements)
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“…While the narrow range of grain sizes in our data precludes establishment of a trend between grain size and permeability, our measurements compare well with the permeability and median grain diameter trend of hydrate free core sediments (plotted as triangles) (Konno et al, 2015). We also compare data from petrophysical analysis on tight gas sandstone analog rocks (Becker et al, 2017), which fall within the same range of grain size but are substantially less permeable due to high volumes of microporosity (up to 80%) in those rocks. Our results indicate that 3D grain size analysis and permeability simulation can be used as a reliable alternative to more classical and time consuming methods.…”
Section: Comparison With Previous Measurementssupporting
confidence: 65%
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“…While the narrow range of grain sizes in our data precludes establishment of a trend between grain size and permeability, our measurements compare well with the permeability and median grain diameter trend of hydrate free core sediments (plotted as triangles) (Konno et al, 2015). We also compare data from petrophysical analysis on tight gas sandstone analog rocks (Becker et al, 2017), which fall within the same range of grain size but are substantially less permeable due to high volumes of microporosity (up to 80%) in those rocks. Our results indicate that 3D grain size analysis and permeability simulation can be used as a reliable alternative to more classical and time consuming methods.…”
Section: Comparison With Previous Measurementssupporting
confidence: 65%
“…These samples, also originating from sandstone FIGURE 5 | Comparison between our data and previous studies of permeability as a function of grain size. The red triangles represent data from hydrate-free sediments (Konno et al, 2015), while the green circles represent data from tight gas sandstones (Becker et al, 2017). The shaded orange and blue regions correspond to fine to medium and medium to coarse grained intervals of the Piper Formation, respectively (Maher, 1980).…”
Section: Comparison With Previous Measurementsmentioning
confidence: 99%
“…Grain sizes were measured along their long axis on 100 grains with digital image analysis using ImageJ (Becker et al 2017). Median grain sizes determined by digital image analysis have been demonstrated to reach accuracies of > 96% compared to conventional methods like sieving (Barnard et al 2007).…”
Section: Methodsmentioning
confidence: 99%
“…Today most of the wells are being drilled directionally [15]. The drilling planning for this reservoir simulation study is composed of twofold.…”
Section: Well Planningmentioning
confidence: 99%