Towards a sequence stratigraphic solution set for autogenic processes and allogenic controls: Upper Cretaceous strata, Book Cliffs, Utah, USA

Hampson, Gary J.

doi:10.1144/jgs2015-136

Cited by 57 publications

(34 citation statements)

References 113 publications

(180 reference statements)

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“…Thirdly, sequence boundaries can also form due to variable sediment erosion and transport rates, without relative sea-level fall (Burgess & Prince, 2015). This complexity of process and control, and the relative simplicity of many existing models, suggests that our understanding of sequence geometries and what controls them requires further investigation (Burgess & Steel, 2017;Hampson, 2016;Heller, Burns, & Marzo, 1993;Zhang, Steel, & Olariu, 2017). We approach these problems by studying the forward modelled sequences generated by full cycles of change in relative sea level or sediment supply.…”

Section: Introductionmentioning

confidence: 99%

Can sediment supply variations create sequences? Insights from stratigraphic forward modelling

et al. 2018

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Classic sequence stratigraphy suggests depositional sequences can form due to changes in accommodation and due to changes in sediment supply. Accommodation‐dominated sequences are problematic to define rigorously, but are commonly interpreted from outcrop and subsurface data. In contrast, supply‐dominated sequences are much less commonly identified. We employ numerical stratigraphic forward modelling to compare stratal geometries forced by cyclic changes in relative sea level with stratal geometries forced by sediment discharge and water discharge changes. Our quantitative results suggest that both relative sea‐level oscillations and variations in sediment/water discharge ratio are able to form sequence‐bounding unconformities independently, confirming previous qualitative sequences definitions. In some of the experiments, the two types of sequence share several characteristics, such as an absence of coastal‐plain topset deposits and stratal offlap, something typically interpreted as the result of falling relative sea level. However, the stratal geometries differ when variations in amplitude and frequency of relative sea‐level change, sediment/water discharge ratio, transport diffusion coefficient and initial bathymetry are applied. We propose that the supply‐dominated sequences could be recognised in outcrop or in the subsurface if the observations of stratal offlap and the absence of coastal‐plain topset can be made without any strong evidence of relative sea‐level fall (e.g. descending shoreline trajectory). These quantitative results suggest that both supply‐dominated and accommodation‐dominated sequences are likely to occur in the ancient record, as a consequence of multiple, possibly complex, controls.

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Section: Introductionmentioning

confidence: 99%

Can sediment supply variations create sequences? Insights from stratigraphic forward modelling

et al. 2018

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“…The intraclinothem surfaces could also be the result of autogenic controls, such as river avulsion and/or switching of wave-dominated delta lobes (e.g., Olariu, 2014;Hampson, 2016); this would mean that the intraclinothem surfaces are not sequence boundaries. Autogenic mechanisms have been shown to generate surfaces and stratigraphic architectures that are challenging to distinguish from those generated through allogenic processes (e.g., Muto and Steel, 2002).…”

Section: Autogenic and Allogenic Topset Process-regime Changementioning

confidence: 99%

High-resolution correlations of strata within a sand-rich clinothem using grain fabric data, offshore New Jersey, USA

et al. 2019

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Trajectories of successive clinoform rollovers are widely applied to predict patterns of spatio-temporal sand distribution. However, the detailed internal architecture of individual clinothems is rarely documented. Understanding the textural complexities of complete topset-foreset-bottomset clinothem sequences is a key factor in understanding how and when sediment is transferred basinward. This study used high-resolution, core-based analyses of 267 samples from three research boreholes from quasi-coeval topset, foreset, and bottomset deposits of a single Miocene intrashelf clinothem recovered during Integrated Ocean Drilling Program (IODP) Expedition 313, offshore New Jersey, USA. Topset deposits were subdivided into three sedimentary packages based on grain character and facies analysis, consisting of upper and lower river-dominated topset process-regime packages separated by a middle wave-and storm-dominated process-regime package. Temporal variability in topset process regime exerts a quantifiable effect on grain character across the complete depositional profile, which was used here to correlate topset deposits with time-equivalent sedimentary packages in foreset and bottomset positions. River-dominated sedimentary packages have higher sand-to-mud ratios; however, the grain character of river-dominated sedimentary packages is texturally less mature than that of wave-and storm-dominated deposits. Differences in grain character between packages dominated by different process regimes increase basinward. The novel use of quantitative grain-character data allows intraclinothem time lines to be established at a higher resolution than is possible using chronostratigraphic techniques. Additionally, stratigraphic changes in grain character were used to refine the placement of the basal sequence boundary. These results challenge the idea that clinoform trajectories and stacking patterns are sufficient to describe spatio-temporal sand-body evolution across successive clinothems.

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“…Figures 7 and 8 show 11 regional correlatable surfaces that are probably controlled by allogenic processes. From the analogy of Upper Cretaceous outcrops in the Book Cliffs of east-central Utah studied by Hampson (2016), some uncorrelatable muddy spikes in HFS2 to HFS6 probably records autogenic switching of lobes during a short temporal scale. These intervals, which result from autogenic processes, are disregarded in order to simplify the building of sequence-stratigraphic framework of S5.…”

Section: Autogenic and Allogenic Processesmentioning

confidence: 99%

“…These intervals, which result from autogenic processes, are disregarded in order to simplify the building of sequence-stratigraphic framework of S5. However, for the scale like S5, some autogenic processes such as shoreline retreat could be the dominant driver of parasequence stacking patterns (Muto and Steel, 2002;Hampson, 2016). The formation of some HFSs of DongheS5 may be controlled by a mixture of internal and external factors.…”

Section: Autogenic and Allogenic Processesmentioning

confidence: 99%

High‐Frequency Sequence Stratigraphy and Fine‐Scale Reservoir Characterization of the Devonian Sandstone, Donghe Formation, North Uplift of the Tarim Basin

Wang

Liu

Mao

et al. 2018

Acta Geologica Sinica (Eng)

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The Devonian Donghe Sandstone complex in North Uplift of the Tarim Basin comprises of a series of diachronous sandy intervals deposited from the Late Devonian to Early Mississippian. They are constrained by a Late Devonian to Early Pennsylvanian 2nd‐order supersequence and can be subdivided into five 3rd‐order sequences, namely, S1, S2, S3, S4, and S5, from the oldest to youngest. Cores from four wells, 40 wireline logs, 410 thin sections, and porosity and permeability data from 639 spots from four wells were used to study the sediment provenance, build up the sequence‐stratigraphic model of S5, and characterize the reservoirs at a feet scale. Detrital modes of sandstone from point counting indicate that Donghe Sandstone is directly sourced from recycled orogeny. The low content of feldspar and volcanic rock fragments suggests that Donghe Sandstone is recycled from sediment with a cratonic ultimate source. 1D and 2D chronostratigraphic correlation shows that at least 12 4th‐order high‐frequency sequences (HFSs), from the oldest HFS1 to the youngest HFS12, can be recognized in S5. Each HFS is characterized by a general trend of shallowing‐upward facies assemblage. Sequence boundaries were defined at where regionally correlatable deep‐water facies overlaying shallow‐water facies. There is a general shallowing‐upward trend in the S5 3rd‐order sequence, characterized by a systematically increasing proportion of shallow‐water facies (foreshore and upper shoreface), and a decreasing proportion of deep facies (offshore transition and lower shoreface). The shallowing‐upward trend within both 3rd‐ and 4th‐order sequences is resulted from a combined effect of eustatic sea‐level change, tectonic activity, and sediment supply. The sequence‐stratigraphic model of Donghe Sandstone S5 is similar to the rift‐basin sequence‐stratigraphic model. Sweet spots were defined as porosity >15% and permeability >100md intervals, and their distribution and lateral continuity were investigated. HFS is one of the primary controls on the distribution of sweet spots distribution and can be used to guide hydrocarbon exploration.

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Towards a sequence stratigraphic solution set for autogenic processes and allogenic controls: Upper Cretaceous strata, Book Cliffs, Utah, USA

Cited by 57 publications

References 113 publications

Can sediment supply variations create sequences? Insights from stratigraphic forward modelling

Can sediment supply variations create sequences? Insights from stratigraphic forward modelling

High-resolution correlations of strata within a sand-rich clinothem using grain fabric data, offshore New Jersey, USA

High‐Frequency Sequence Stratigraphy and Fine‐Scale Reservoir Characterization of the Devonian Sandstone, Donghe Formation, North Uplift of the Tarim Basin

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