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2006
Abstract Conference of the Canadian Society of Petroleum Geologists) and in Dallas in 2004 (Annual Conference of the American Association of Petroleum Geologists). These sessions, entitled Facies Models Revisited, were intended to capture the state of the art with respect to facies modeling in several key depositional environments.
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Abstract Conference of the Canadian Society of Petroleum Geologists) and in Dallas in 2004 (Annual Conference of the American Association of Petroleum Geologists). These sessions, entitled Facies Models Revisited, were intended to capture the state of the art with respect to facies modeling in several key depositional environments.
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A Flexible Markov Mesh Model for Facies Modelling
Proceedings, 2015In this presentation we consider the problem of estimating a prior model for spatial discrete variables from a training image. To be able to combine the estimated prior model with a likelihood for observed data, we argue that one needs to use a prior formulation where an explicit formula is available for the prior distribution.
X. Luo*, H. Tjelmeland
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Geostatistical Modeling of Facies
2019Because facies are nominal variables, their modeling methods are different from the modeling methods for continuous variables. Kriging and stochastic simulation methods presented in Chaps. 16 and 17 cannot be directly used for construction of a facies model; they can be modified for facies modeling, or totally different methods are used.
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2002
Abstract Facies are often important in reservoir modeling because the petrophysical properties of interest are highly correlated with facies type. Knowledge of facies constrains the range of variability in porosity and permeability.
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Abstract Facies are often important in reservoir modeling because the petrophysical properties of interest are highly correlated with facies type. Knowledge of facies constrains the range of variability in porosity and permeability.
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TabTransformer model for facies classification
Physica ScriptaAbstract Geoscientists now have access to modern technology and a wide range of open-source tools for reservoir characterization, including facies classification. Successful oil and gas field exploration and development depend heavily on accurate facies classification.
Fossong Guilianno +2 more
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Propensity and Probability in Depositional Facies Analysis and Modeling
Mathematical Geosciences, 2009zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Siliciclastic Aquifers Facies Models
2016Siliciclastic aquifers are composed of sediment and rock that are dominated by silicate minerals, particularly quartz, feldspar, and clays. Siliciclastic aquifer properties are controlled by the grain size, sorting, and diagenesis of the sediments. Well-sorted sand and gravel facies deposited by flowing water and air tend to have the highest hydraulic ...
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A Facies Model for Temperate Continental Glaciers
Journal of Geological Education, 1987The presence and dynamics of continental glaciers dominated the physical processes of erosion and deposition in the mid-latitudes during the Pleistocene. The stratigraphy of these glacigenic deposits can be synthesized into a sedimentary facies model and used as a guide to recognize ancient temperate continental glacier deposits and to predict ...
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2002
Abstract Object-based facies models are visually attractive because the resulting facies realizations mimic idealized geometries interpreted in outcrops and modern analogues. Such models show facies belonging to clean geological shapes with realistic non-rectilinear continuity, which cannot be modeled with cell-based approaches.
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Abstract Object-based facies models are visually attractive because the resulting facies realizations mimic idealized geometries interpreted in outcrops and modern analogues. Such models show facies belonging to clean geological shapes with realistic non-rectilinear continuity, which cannot be modeled with cell-based approaches.
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