Quantitative characterization of shales within tidally influenced fluvial valley fill deposits of the Ferron Sandstone, eastern Utah: Implications for hydrocarbon exploration

Biber, Kivanc; Khan, Shuhab D.; Bhattacharya, Janok P.; Barton, Mark D.; Glennie, C. L.

doi:10.1306/01111715108

Cited by 3 publications

(2 citation statements)

References 26 publications

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“…Other mudstone beds occurring throughout the barform are instead thought to drape accretion surfaces that record the migration of the bar front; mudstone units of this type are generally referred to as 'mud drapes' hereafter (cf. McGowen & Gardner 1970;Hartkamp Bakker & Donselaar 1993;Pranter et al 2007;Alsop et al 2014;Biber et al 2017). Bar-front muds or mud-rich packages might represent different types of deposit with varying characters and genetic significance, some of which might be below the log resolution and are therefore not considered here.…”

Section: Geomodeling Goals and Overviewmentioning

confidence: 99%

Seismic-driven geocellular modeling of fluvial meander-belt reservoirs using a rule-based method

Colombera

Yan

McCormick-Cox

et al. 2018

Marine and Petroleum Geology

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Section: Geomodeling Goals and Overviewmentioning

confidence: 99%

Seismic-driven geocellular modeling of fluvial meander-belt reservoirs using a rule-based method

Colombera

Yan

McCormick-Cox

et al. 2018

Marine and Petroleum Geology

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“…Geology is composed of a hierarchy of heterogeneities. Even within a pure sandy point bar of a meandering channel (e.g., fluvial, mixed tidal‐fluvial, tidal, or marine channel), there might exist many inclined, thin, muddy beds that hinder the subsurface fluid flow, such as CO 2 , water, and oil (Biber et al., 2017; Dawuda & Srinivasan, 2022b; Johnson & Dashtgard, 2014; Makaske & Weerts, 2005; Novakovic et al., 2002; Willis & White, 2000). Such muddy low permeability beds (i.e., flow baffles) with depositional dip are commonly designated as “mud (shale) drapes” (Colombera et al., 2018; Li & White, 2003; Pranter et al., 2007; Thomas et al., 1987; Yan et al., 2017; Yin, 2013).…”

Section: Introductionmentioning

confidence: 99%

Stochastic Modeling of Thin Mud Drapes Inside Point Bar Reservoirs With ALLUVSIM‐GANSim

Hu,

Song,

Hou

et al. 2024

Water Resources Research

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Modeling inclined fine‐scale mud drapes inside point bars, deposited on accretion surfaces during stages of low energy or slack water, is critical to modeling fluid flow in complex sedimentary environments (e.g., fluvial and turbidity flows). These features have been modeled using deterministic or geostatistical modeling tools (e.g., object‐, event‐, and pixel‐based). However, this is a non‐trivial task due to the need to preserve geological realism (e.g., connectivity within sedimentary features and facies hierarchy), while being able to condition the generated models to point data (e.g., well data). Generative Adversarial Networks (GAN) have been successfully applied to reproduce several large‐scale scenarios (e.g., braided rivers and carbonate reservoirs), yet their potential for capturing small‐scale and hierarchical features remains largely unexplored. Here, we propose a geo‐modeling workflow for fast modeling of small‐scale conditional mud drapes based on ALLUVSIM and GANSim. Initially, improved ALLUVSIM produces realistic unconditional models of mud drapes along accretionary surfaces, serving as GAN training data. GANSim is then employed to achieve conditioning to well data and probability maps derived from geophysical modeling. Finally, temporal pressure data observed in wells are further conditioned via a Markov chain Monte Carlo sampling method. The proposed geo‐modeling workflow is validated in a two‐dimensional synthetic example as the pre‐trained generator extracts mud‐drapes‐features and generates multiple facies realizations conditioned to diverse information. A field application example in a modern meandering river verifies the effectiveness and practicability of the proposed workflow in real case application examples. The application examples illustrate the potential of the proposed method to predict mud drapes inside point bar reservoirs.

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Quantitative analysis of facies variation using ground-based lidar and hyperspectral imaging in Mississippian limestone outcrop near Jane, Missouri

Shahtakhtinskiy

Khan

2020

Interpretation

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Ground-based hyperspectral imaging is useful for geologic mapping because of its high spectral and spatial resolutions at a millimeter to centimeter scale. We have used hyperspectral and terrestrial laser scanner (TLS) data collected in close range to a roadcut near Jane, Missouri, that contains a subvertical outcrop of Lower Mississippian limestone. The outcrop consists of the Compton, Northview, and Pierson Formations, which we evaluated for facies heterogeneity. The sequence near Jane, Missouri, was deposited in shelf margin with high-frequency sea-level fluctuations. These fluctuations introduced lithologic and geometric heterogeneity to the facies, and debris flows brought in carbonate mounds referred to as outrunner blocks. These are important to interpret accurately because of their equivocal depositional origin, which is highly debated by previous workers. We combined hyperspectral data with TLS for an integrated spatial analysis of geometric and compositional variations in facies by accurate, point cloud-registered mineralogical mapping. We mapped several carbonate facies based on spectral signatures of calcite, silt, and clay particles and distinguished pure limestone outrunner blocks from surrounding mud-prone limestone facies with various proportions of silt and clay (a total of approximately 60%). By tracing the classified facies from combined hyperspectral and TLS imagery, we produced a lithostratigraphic framework, which indicates rapid changes in lithology and the presence of shale baffles that vary the character of the Compton through Pierson interval and contribute to heterogeneity in this outcrop. The data suggest a lower energy depositional environment and support the hypothesis of transported outrunner blocks in a distally steepened ramp system. The information that we have evaluated in our study could help to explain reservoir heterogeneity in equivalent carbonate fields.

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Quantitative characterization of shales within tidally influenced fluvial valley fill deposits of the Ferron Sandstone, eastern Utah: Implications for hydrocarbon exploration

Cited by 3 publications

References 26 publications

Seismic-driven geocellular modeling of fluvial meander-belt reservoirs using a rule-based method

Seismic-driven geocellular modeling of fluvial meander-belt reservoirs using a rule-based method

Stochastic Modeling of Thin Mud Drapes Inside Point Bar Reservoirs With ALLUVSIM‐GANSim

Quantitative analysis of facies variation using ground-based lidar and hyperspectral imaging in Mississippian limestone outcrop near Jane, Missouri

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