2007
DOI: 10.1306/08310605114
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Three-dimensional facies architecture and three-dimensional calcite concretion distributions in a tide-influenced delta front, Wall Creek Member, Frontier Formation, Wyoming

Abstract: Cluster analysis of the GPR attributes (instantaneous amplitudes and wave numbers) calibrated with the cores and the outcrop was used to predict the distribution of near-zero permeability concretions throughout the 3-D GPR volume; clusters of predictive attributes were defined and applied separately in the bars and channels. The predicted concretions in the bars and the channels are 14.7 and 10.2% by volume, respectively, which is consistent with those observed in the cores (14.7 and 10.5%, respectively), and … Show more

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Cited by 27 publications
(11 citation statements)
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“…A companion study (Lee et al 2007, this issue) used 2D and 3D ground penetrating radar to investigate the 3D geometry of the bar and channel elements described in greater sedimentological detail in this paper.…”
Section: Objectives Of This Studymentioning
confidence: 99%
“…A companion study (Lee et al 2007, this issue) used 2D and 3D ground penetrating radar to investigate the 3D geometry of the bar and channel elements described in greater sedimentological detail in this paper.…”
Section: Objectives Of This Studymentioning
confidence: 99%
“…For example, in Pleistocene fluvial-dominated delta deposits imaged in shallow-seismic data, Roberts et al (2004, p. 185) comment that "each clinoform set represents rather continuous deposition from a distributary or related set of distributaries, resulting in the formation of a delta lobe." Shale drapes and cemented concretionary layers occur along depositional surfaces at each hierarchical level but generally have greater continuity and extent at larger lengthscales of the hierarchy (e.g., Gani and Bhattacharya, 2007;Lee et al, 2007;Ahmed et al, 2014). Thus, delta lobes tend to be overlain across flooding surfaces by prodelta shales and distal-delta-front heteroliths, which may cause them to behave as distinct reservoir zones that can be correlated between wells, whereas clinoforms are associated with heterogeneity between wells and within reservoir zones (e.g., Ainsworth et al, 1999;Hampson et al, 2008).…”
Section: Conceptual Framework For Clinoform Modelingmentioning
confidence: 99%
“…There are few outcrop data sets that quantify the extent or geometry of such barriers along clinoforms (e.g., White and Willis, 2000;Lee et al, 2007;Eide et al, 2014;Hampson et al, 2014). Sensitivity tests indicate that ellipses are suitable objects to represent these barriers for modeling and flow simulation purposes, because they can be described using simple mathematical functions and their abundance and overlap control barrier coverage along clinoforms, provided ellipse dimensions are small relative to the area of the clinoform .…”
Section: Modeling Heterogeneity Along Clinoformsmentioning
confidence: 99%