3D hydrocarbon migration by percolation technique in an alternate sand–shale environment described by a seismic facies classified volume

Corradi, Anna; Ruffo, Paolo; Corrao, A.; Visentin, Claudio

doi:10.1016/j.marpetgeo.2009.01.002

Cited by 19 publications

(10 citation statements)

References 10 publications

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“…In complex depositional environments, pathways follow permeable sand bodies and lateral migration may become dominant. The present study cannot describe the dynamics of flow for such complex situations, although powerful simulation tools based on invasion percolation can be used to study the geometry of such pathways (Luo et al, 2007b;Corradi et al, 2009). Figure 2.…”

Section: Invasion Percolation and Width Of Fingersmentioning

confidence: 99%

“…It has been used to study the geometry of the pathways associated with the instability of a two-phase flow, notwithstanding its dynamic aspects (Frette et al, 1989;Zhou et al, 2006). Nevertheless, it is a very interesting tool for dealing with migration pathways associated with complex geometrical structures (Luo et al, 2007b;Corradi et al, 2009).…”

Section: Invasion Percolation and Width Of Fingersmentioning

confidence: 99%

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Flow regime associated with vertical secondary migration

Vasseur

Luo

Yan

et al. 2013

Marine and Petroleum Geology

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International audienceSecondary migration is defined as the movement of hydrocarbons through relatively permeable rocks from source to trap: a two-phase flow within a porous medium. Depending on the geometry and capillary pressure distributions of carrier beds, secondary migration has both vertical and lateral components. The present paper focuses on that part of the migration where the movement is mainly vertical. Its objective is to propose a description of the dynamics governing the vertical part of secondary migration based on the main physical aspects of two-phase flow in a homogeneous porous medium. The study is illustrated by laboratory observations performed in a vertical, 2-D Hele-Shaw cell filled with a transparent porous medium where the flow of dyed oil invading a wetting fluid is visually observed. These observations help us to understand the effect of buoyant, capillary and viscous forces on the resulting flow, the relative importance of which is characterized by non-dimensional numbers. Extrapolating these observations to natural media, it is proposed that vertical secondary migration can be described as a percolation of disconnected and vertically-elongated stringers. These stringers do not move continuously but as a succession of snap-off and re-feeding events which result in a jerky upward movement. Using parameters characterizing the physical properties of the fluid and of the porous medium, the geometry and the dynamic behavior of the stringers are estimated. The width of stringers occurring during secondary migration in geological media is centimetric and their vertical size ranges from several centimeters to a few meters. An upper limit of the mean upward velocity of stringers is proposed, as well as an estimate of their spatial density and of the minimum, average horizontal distance (decametric) between two stringers. The stringers are sparsely distributed, resulting in a low average oil loss and a high efficiency of the vertical migration process

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Section: Invasion Percolation and Width Of Fingersmentioning

confidence: 99%

Section: Invasion Percolation and Width Of Fingersmentioning

confidence: 99%

Flow regime associated with vertical secondary migration

Vasseur

Luo

Yan

et al. 2013

Marine and Petroleum Geology

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“…Rivier et al 1985), and there is an extensive literature on applications of percolation theory to primary migration of hydrocarbons (e.g. Carruthers and Ringrosem 1998;Carruthers 2003;Corradi et al 2009). General aspects of percolation theory may therefore assist with interpretation of the results presented here (cf.…”

Section: Percolation Theory: a Unifying Frameworkmentioning

confidence: 99%

Scaling Laws for the Distribution of Gold, Geothermal, and Gas Resources

Blenkinsop

2014

Pure Appl. Geophys.

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Abstract:Mass dimensions of natural resources, established from power law scaling relationships between numbers of resources and distance from an origin, have important implications for ore-forming processes, resource estimation and exploration. The relation between the total quantity of resource and distance, measured by the mass-radius scaling exponent, may be even more useful. Lode gold deposits, geothermal wells and volcanoes, and conventional and unconventional gas wells are examined in this study. The scaling exponents generally increase from the lode gold through geothermal wells to gas data sets, reflecting decreasing degrees of clustering. Mass dimensions are similar to the mass-radius scaling exponents, and could be used as substitutes in the common case that data are not available for the latter. All of these resources are formed by fluid fluxes in the crust, and therefore percolation theory is an appropriate unifying framework to understand their significance. The mass dimensions indicate that none of the percolation networks that formed the deposits reached the percolation threshold. 2 AbstractMass dimensions of natural resources, established from power law scaling relationships between numbers of resources and distance from an origin, have important implications for oreforming processes, resource estimation and exploration. The relation between the total quantity of resource and distance, measured by the mass-radius scaling exponent, may be even more useful. Lode gold deposits, geothermal wells and volcanoes, and conventional and unconventional gas wells are examined in this study. The scaling exponents generally increase from the lode gold through geothermal wells to gas data sets, reflecting decreasing degrees of clustering. Mass dimensions are similar to the mass-radius scaling exponents, and could be used as substitutes in the common case that data are not available for the latter. All of these resources are formed by fluid fluxes in the crust, and therefore percolation theory is an appropriate unifying framework to understand their significance. The mass dimensions indicate that none of the percolation networks that formed the deposits reached the percolation threshold.

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“…Step 3: Unsupervised and Supervised Seismic-Facies Classification An SF classification can be applied in unsupervised or supervised mode (e.g., Coleou et al, 2003;Linari et al, 2003;Saggaf et al, 2003;Carrillat et al, 2005;Baaske et al, 2007;Corradi et al, 2009). In the unsupervised mode, the natural clustering of the data is obtained by combining different seismic attributes into the artificial neural network ( Figure 5).…”

Section: Three-dimensional Multiattribute Seismic-facies Classificationmentioning

confidence: 99%

Characterization of a deeply buried paleokarst terrain in the Loppa High using core data and multiattribute seismic facies classification

et al. 2012

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The recognition of paleokarst in subsurface carbonate reservoirs is not straightforward because conventional seismic interpretation alone is generally not sufficient to discriminate karstified areas from their surroundings. In the Loppa High (Norwegian Barents Sea), a protracted episode of subaerial exposure occurring between the late Paleozoic and mid-TriassicLate Permian to Anisian-resulted in a significant overprinting of the previously deposited carbonate units. Here, we map the extension of the karstified areas using an integrated approach consisting of (1) a core study of critical paleokarst intervals, (2) a three-dimensional (3-D) seismic stratigraphic analysis, and (3) a 3-D multiattribute seismic facies (SF) classification. A core retrieved in the flat-topped Loppa High revealed breccia deposits at least 50 m (164 ft) thick, which probably resulted from cave collapses following the burial of the karst terrain. The SF classification was tested on a 3-D cube to (1) discriminate the respective SF related to the breccia deposits compared with other SF and (2) to estimate their spatial extent. Seismic-facies analysis suggests that breccias occupied the topmost area of the structural high, extending up to 12 km (7 mi) in width, 46 km (29 mi) in length, and tens of meters in thickness. The inference of such a large amount of breccia suggests that a significant part of this terrain was derived from

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3D hydrocarbon migration by percolation technique in an alternate sand–shale environment described by a seismic facies classified volume

Cited by 19 publications

References 10 publications

Flow regime associated with vertical secondary migration

Flow regime associated with vertical secondary migration

Scaling Laws for the Distribution of Gold, Geothermal, and Gas Resources

Characterization of a deeply buried paleokarst terrain in the Loppa High using core data and multiattribute seismic facies classification

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