Three-dimensional modeling of clinoforms in shallow-marine reservoirs: Part 1. Concepts and application

Graham, Gavin H.; Jackson, Matthew D.; Hampson, Gary J.

doi:10.1306/01191513190

Cited by 31 publications

(13 citation statements)

References 65 publications

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“…Clinothems have also significant storage potential for oil, gas, water and CO 2 , and several hydrocarbon fields rely on intra-clinothem reservoirs units (e.g., Sydow et al, 2003;Cummings and Arnott, 2005;Holgate et al, 2013;Patruno et al, 2018, in press). Since most clinoforms are lined by low-permeability mudstones or cements (Holgate et al, 2014), they often act as baffles to hydrocarbon flow (Howell et al, 2008;Jackson et al, 2009;Graham et al, 2015aGraham et al, , 2015b. Therefore, only clinoform-based production models enable accurate prediction of hydrocarbon drainage patterns and recovery (Howell et al, 2008;Graham et al, 2015b).…”

Section: Research Avenues and Economic Valuementioning

confidence: 99%

“…Experimental studies in flumes and scaled physical models (e.g., McClay et al, 1998;Kostic et al, 2002;Muto and Steel, 2004;Gerber et al, 2008;Leva López et al, 2014); 4. Numerical modelling, focused on the controls on clinoform formation (e.g., Helland-Hansen et al, 1988;Ross et al, 1994;Pirmez et al, 1998;Driscoll and Karner, 1999;Adams et al, 2001Adams et al, , 2011Friedrichs and Wright, 2004;Swenson et al, 2005;Friedrichs and Scully, 2007;Wolinsky and Pratson, 2007;Burgess et al, 2008;Charvin et al, 2011;Mitchell, 2012;Patruno et al, 2015c), clinoform imaging in reflection seismic (e.g., Holgate et al, 2014), and the impact of clinoforms on fluid flow (e.g., Graham et al, 2015aGraham et al, , 2015bHowell et al, 2008;Jackson et al, 2009). …”

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confidence: 99%

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Clinoforms and clinoform systems: Review and dynamic classification scheme for shorelines, subaqueous deltas, shelf edges and continental margins

Patruno

Helland‐Hansen

2018

Earth-Science Reviews

200

166

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A B S T R A C TClinoforms are inclined and normally basinward-dipping horizons developed over a range of spatial and temporal scales in both siliciclastic and carbonatic systems. The study of clinoform successions underpins sequence stratigraphy and all efforts to reconstruct the relative partitioning of reservoir, seal and source rocks along shoreline to basin-floor profiles.Here, we review clinoform research and propose a more systematic description and classification of clinoforms. This is a crucial step to improve predictions of facies and lithology distribution within shoreline to continental shelf and abyssal plain successions, together with the genesis, drivers and dynamics of their constituent sedimentary units.Four basic clinoform types are here distinguished in delta/shorelines, lacustrines and marine environments, on the basis of their overall spatial and temporal scale, morphology, outbuilding dynamic and geodynamic and depositional setting: (1, 2) delta-scale clinoforms, which in turns are sub-divided into shoreline and delta-scale subaqueous clinoforms; (3) shelf-edge clinoforms; and (4) continental-margin clinoforms. Delta-scale clinoform sets are tens of metres high and typically represent 1-10 3 kyr, with progradation rates ranging from 1,000-100,000 m/kyr for shorelines and "subaerial deltas" to 100-20,000 m/kyr for subaqueous deltas; shelfedge clinoform sets are hundreds of metres high and are nucleated and accreted in 0.1-20 Myr (usual progradation rates of 1-100 m/kyr) by successive cross-shelf transits of delta-scale clinoforms; continental-margin clinoform sets are thousands of metres high, hallmark key geodynamic/crustal boundaries (e.g., continent/ocean transition) and slowly prograde basinwards in ca. 5-100 Myr, with typical rates of 0.1-10 m/kyr. As a consequence of the very different progradation rates and of the difficulty of large-scale clinothems to backstep during transgressions, shorelines are the most dynamic clinoforms with regards to position, continental margins the least, and shelf-edges are intermediate. Shortly after a transgression, therefore, the four clinoform types may prograde synchronously along shoreline-to-abyssal plain transects, forming "compound clinoform" systems. During the subsequent regressive cycle, however, due to the dissimilarity in progradation rates, different clinoform types will normally merge progressively with each other, giving rise to "hybrid clinoforms" (e.g., shelf-edge deltas), and fewer depositional breaks-in-slope are distinguished along a single shoreline-toabyssal plain transect. Overall, all clinoform systems are the result of the dynamic evolution of compound and hybrid clinoforms along a temporal and spatial continuum, regulated by the cyclical backstepping of the smallerscale system within natural progradational-retrogradational cycles of larger-scale clinothem outbuilding.All clinothem types may show either an accretionary/active or draping/passive style, depending on the proximity to the sediment source. Draping clinothems are nearly...

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Section: Research Avenues and Economic Valuementioning

confidence: 99%

mentioning

confidence: 99%

Clinoforms and clinoform systems: Review and dynamic classification scheme for shorelines, subaqueous deltas, shelf edges and continental margins

Patruno

Helland‐Hansen

2018

Earth-Science Reviews

200

166

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“…We finish testing the new method by using a second heterogeneous 3D model of complex but common geological features to demonstrate that the method is robust. In this case, the model contains 3 different domains with different material properties, representing different types of sandstone deposited in a shallow marine environment . The geometry of the domains is partially controlled by curved, inclined surfaces termed clinoforms.…”

Section: Numerical Experimentsmentioning

confidence: 99%

“…Since mesh quality is of such importance, a great deal of effort has been devoted to creating good quality meshes (eg, the previous studies ). However, unless an extremely fine mesh resolution is used, large‐angle elements may be inevitable when discretising the very high aspect ratio domains frequently found in geological models (eg, the previous studies). Large‐angle elements may also be created at displacement fronts when using dynamic adaptive mesh optimisation …”

Section: Introductionmentioning

confidence: 99%

Improving the robustness of the control volume finite element method with application to multiphase porous media flow

Salinas

Pavlidis

Xie

et al. 2017

Numerical Methods in Fluids

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SummaryControl volume finite element methods (CVFEMs) have been proposed to simulate flow in heterogeneous porous media because they are better able to capture complex geometries using unstructured meshes. However, producing good quality meshes in such models is nontrivial and may sometimes be impossible, especially when all or parts of the domains have very large aspect ratio. A novel CVFEM is proposed here that uses a control volume representation for pressure and yields significant improvements in the quality of the pressure matrix. The method is initially evaluated and then applied to a series of test cases using unstructured (triangular/tetrahedral) meshes, and numerical results are in good agreement with semianalytically obtained solutions. The convergence of the pressure matrix is then studied using complex, heterogeneous example problems. The results demonstrate that the new formulation yields a pressure matrix than can be solved efficiently even on highly distorted, tetrahedral meshes in models of heterogeneous porous media with large permeability contrasts. The new approach allows effective application of CVFEM in such models.

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“…At all scales, the layers may have a dip imposed on them either by depositional features (e.g. Graham et al 2015;Massart et al 2016) or by structural deformation (e.g. Koltermann and Gorelick 1996).…”

Section: Introductionmentioning

confidence: 99%

Impact of the Buoyancy–Viscous Force Balance on Two-Phase Flow in Layered Porous Media

et al. 2018

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Motivated by geological carbon storage and hydrocarbon recovery, the effect of buoyancy and viscous forces on the displacement of one fluid by a second immiscible fluid, along parallel and dipping layers of contrasting permeability, is characterized using five independent dimensionless numbers and a dimensionless storage or recovery efficiency. Application of simple dimensionless models shows that increased longitudinal buoyancy effects increase storage efficiency by reducing the distance between the leading edges of the injected phase in each layer and decreasing the residual displaced phase saturation behind the leading edge of the displacing phase. Increased transverse buoyancy crossflow increases storage efficiency if it competes with permeability layering effects, but reduces storage efficiency otherwise. When both longitudinal and transverse buoyancy effects are varied simultaneously, a purely geometrical dip angle group defines whether changes in storage efficiency are dominated by changes in the longitudinal or transverse buoyancy effects. In the limit of buoyancy-segregated flow, we report an equivalent, unidimensional flow model which allows rapid prediction of storage efficiency. The model presented accounts for both dip and layering, thereby generalizing earlier work which accounted for each of these but not both together. We suggest that the predicted storage efficiency can be used to compare and rank geostatistical realizations, and complements earlier heterogeneity measures which are applicable in the viscous limit.

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Three-dimensional modeling of clinoforms in shallow-marine reservoirs: Part 1. Concepts and application

Cited by 31 publications

References 65 publications

Clinoforms and clinoform systems: Review and dynamic classification scheme for shorelines, subaqueous deltas, shelf edges and continental margins

Clinoforms and clinoform systems: Review and dynamic classification scheme for shorelines, subaqueous deltas, shelf edges and continental margins

Improving the robustness of the control volume finite element method with application to multiphase porous media flow

Impact of the Buoyancy–Viscous Force Balance on Two-Phase Flow in Layered Porous Media

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