A new stylolite classification scheme to estimate compaction and local permeability variations

Koehn, Daniel; Rood, Margaret; Beaudoin, Nicolas; Chung, Peter; Bons, Paul D.; Gomez‐Rivas, Enrique

doi:10.1016/j.sedgeo.2016.10.007

Cited by 80 publications

(88 citation statements)

References 34 publications

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“…profile (Koehn et al, 2016, Toussaint et al, 2018. These amplitude values are reported in the Table 1, showing stylolites accommodated a minimum of 1.14 mm to 8.4 mm vertical displacement.…”

Section: Stylolite Populationsmentioning

confidence: 69%

“…The occurrence of sedimentary stylolites, usually oriented parallel to bedding (bedding-parallel stylolites or BPS) impacts fluid flows, by forming either barriers or drains in reservoir rocks (Koepnick, 1987;Ehrenberg et al, 2006;Hassan, 2007;Heap et al, 2013;Baud et al, 2016;Koehn et al, 2016;Bruna et al, 2018;Martín-Martín et al, 2018, Toussaint et al, 2018. The characteristic teeth of stylolites, oriented oblique or normal to the dissolution surface, are related to the distribution of insoluble elements in the host rock, leading to local pinning under an oriented applied stress (Fletcher and Pollard, 1981;Merino et al, 1983;Koehn et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

“…Since stylolites are features that form during chemical compaction, which is a function of the sediment overburden and since the tooth flanks are parallel to maximum the principal compressive stress, the stress clearly plays a key role in the formation of these features. In carbonates, the type of facies (chiefly dependent on depositional texture, primary mineralogy and abundance of allochems, mud and pores), the morphology (Andrews and Railsback, 1997), the presence of clays and organic matter, as well as the vertical heterogeneity of the strata and the applied stress are the main parameters that govern stylolitization (Shinn and Robbin, 1983;Bathurst, 1987Bathurst, , 1991Aharonov and Katsman, 2009;Koehn et al, 2012;Vandeginste and John, 2013;Koehn et al, 2016). Today still, assessing the mechanisms that govern BPS development as well as the quantification of the stress experienced by the stylolite host rock are key points to understand sedimentary basin evolution aiming at improving geological simulations at both the basin and the reservoir scales (Braithwaite, 1988;Andrade Ramos, 2000;Gratier et al, 2005;Peacock and Azzam, 2006; Baron and Parnell, 2007;Benedicto and Schultz, 2010;Angheluta et al, 2012;Koehn et al, 2012;Heap et al, 2013;Khair et al, 2013Khair et al, , 2015Baud et al, 2016;Bertotti et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

“…In addition to being used to estimate chemical compaction during burial diagenesis (Peacock and Azzam, 2006;Angheluta et al, 2012;Koehn et al, 2016) and to refine deformation history of strata (Benedicto and Schultz, 2010;Tavani et al, 2006Tavani et al, , 2015, stylolites have been used to access the magnitude of applied stress. The Stylolite Roughness Inversion Technique (SRIT, Schmittbuhl et al, 2004) is based on a signal analysis of the stylolite's roughness.…”

Section: Introductionmentioning

confidence: 99%

“…We use established signal treatment methods (Simonsen et al, 1998;Renard et al, 2004;Ebner et al, 2009b), Fourier Power Spectrum (FPS) and Average Wavelet Coefficient (AWC), to reconstruct the maximum vertical stress recorded by BPS, and hence the maximum burial depth undergone by the host carbonates. The SRIT is conducted regarding the stylolite morphology, following the recent classification proposed in Koehn et al, (2016), and regarding the depositional texture of the host-rock.…”

Section: Introductionmentioning

confidence: 99%

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Bedding-parallel stylolites as a tool to unravel maximum burial depth in sedimentary basins: Application to Middle Jurassic carbonate reservoirs in the Paris basin, France

et al. 2018

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In recent years stylolites, which are rough dissolution surfaces commonly found in carbonates, have been used for paleopiezometry estimates. The Stylolite Roughness Inversion Technique (SRIT) applied on sedimentary bedding-parallel stylolites (BPS) grants access to the maximum principal vertical stress experienced by the host carbonates and thus to their maximum burial paleo-depth. This study reports the results of SRIT applied to a BPS population hosted in carbonate platform reservoirs of the Paris basin sub-surface (France). Middle Jurassic carbonates from two well cores from the depocenter and margin of the basin, for which the burial and thermal history are known, based on a thermally calibrated 3-D basin model, were analyzed. By defining a consistency criterion and using two signal treatment methods, we propose a new approach to select which BPS can be reliably used to reconstruct the maximum vertical stress undergone by the host carbonates, which then can be converted into maximum burial depth. The study of a BPS population shows that there is a control operated by the host rock texture and the stylolite morphology on the burial depth recorded. Especially suture and sharp peak BPS are better suited to estimate the real maximum depth, whereas seismogram pinning BPS record preferentially intermediate depths. Median values of maximum depth derived from our data set (1300 and 1650 m for the margin and depocenter cores, respectively) are in line with maximum burial estimates provided by conventional basin modeling (1450 and 1800 m, respectively), thus showing that SRIT is a standalone robust depth gauge in sedimentary basins, provided sample selection and data treatment are carried out in a rigorous and thoughtful manner.

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Section: Stylolite Populationsmentioning

confidence: 69%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Bedding-parallel stylolites as a tool to unravel maximum burial depth in sedimentary basins: Application to Middle Jurassic carbonate reservoirs in the Paris basin, France

et al. 2018

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Characterization of the deeply buried microporous limestone: Case study from the Shunnan area, Tarim Basin, NW China

et al. 2019

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Reservoir characteristics and genetic mechanisms of the deeply buried microporous limestones have been determined by integrating mercury injection capillary pressure measurements and scanning electron microscopy (SEM) observations on the Yingshan and Yijianfang formations in the Shunnan area, Tarim Basin. The studied intervals have low porosity (<2%) and permeability (<1 mD). Nearly all the macropores have been destroyed while the micropores, with pore diameters smaller than 10 μm, remain open, even at depths greater than 6,000 m. Based on petrophysical properties, the studied microporous limestones can be grouped into three types. Type I dominated by punctic‐serrate microcrystals is characterized by an intermediate porosity (1.63%), the highest permeability (1.1 mD) and the largest pore‐throat radius (13.01 μm). Type II is highly related with the vast meshed microfabric, which corresponds to the highest porosity of 4.22% but a relatively lower permeability (0.04 mD) and a smaller pore‐throat radius (0.26 μm). Type III mainly consists of the fitted coalescent microfabric and thus corresponds to the lowest reservoir quality (0.33%, 0.005 mD, 0.05 μm). Petrophysical characteristics of these different types are tightly associated with the microcrystals. Micropores hosted between the microcrystals determine the reservoir quality. The depositional textures, by contrast, have no correlation with the reservoir quality. Mudstone may have higher porosity and permeability values than the grainstone cemented by blocky calcite spar. Initial micropores within the limestones are mainly from the dissolution and re‐precipitation progress of the metastable aragonite and high‐Mg calcite. Ostwald ripening effect, which is more significant immediately below the high‐frequency shallowing‐upward sequence, can facilitate the dissolution and re‐precipitation progress, and thus locally improves the reservoir properties dominated by microporosity. Calcite cementation fills nearly all the macropores whereas the micropores remain open. Stylolites in the studied samples behave differently but predominantly act as conduits for fluid flow during the reservoir evolution progress. Since petrophysical properties tend to be independent from depositional textures, it is impractical to link lithology to a specific petrophysical property for the ultra‐deep micropores‐dominated limestone reservoir.

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Characterization of Stylolite Networks in Platform Carbonates

Humphrey

Gomez‐Rivas

Martín‐Martín

et al. 2018

The Structural Geology Contribution to the Africa-Eurasia Geology: Basement and Reservoir Structure, Ore Mineralisation and Tec

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A new stylolite classification scheme to estimate compaction and local permeability variations

Cited by 80 publications

References 34 publications

Bedding-parallel stylolites as a tool to unravel maximum burial depth in sedimentary basins: Application to Middle Jurassic carbonate reservoirs in the Paris basin, France

Bedding-parallel stylolites as a tool to unravel maximum burial depth in sedimentary basins: Application to Middle Jurassic carbonate reservoirs in the Paris basin, France

Characterization of the deeply buried microporous limestone: Case study from the Shunnan area, Tarim Basin, NW China

Characterization of Stylolite Networks in Platform Carbonates

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