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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 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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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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Inverse distance interpolation for facies modeling
Stochastic Environmental Research and Risk Assessment, 2013Inverse distance weighted interpolation is a robust and widely used estimation technique. In practical applications, inverse distance interpolation is oftentimes favored over kriging-based techniques when there is a problem of making meaningful estimates of the field spatial structure.
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Peritidal carbonate facies models: A review
Geological Journal, 1984AbstractExisting facies models for peritidal carbonates are limited in number and do not reflect the wide spectrum of possible types. The major depositional processes in peritidal carbonate environments are reviewed in order to stress the complex nature of the systems.
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Facies models for ancient volcanic successions
1988The preceding chapters have laid the groundwork for this chapter, by emphasising processes and products in modern volcanic terrains, which are extremely important in understanding equivalent elements in ancient terrains. Any study in modern terrains is only half complete if the relevance to the rock record is ignored.
R. A. F. Cas, J. V. Wright
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Carbonate Facies Models and Diagenesis
2016Carbonate aquifers consist of rocks composed mainly of the minerals calcite and dolomite. Carbonate minerals are generally much more chemically reactive under near surface geochemical conditions and thus undergo a much greater degree of chemical and physical alteration (diagenesis) than siliciclastic deposits.
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Subsurface model calibration for complex facies models
2018My PhD work mainly focuses on subsurface model calibration for complex facies models. In this type of models, a Gaussian model (e.g., variogram model) fails to reproduce discrete and connectivity features of hydraulic properties. To better represent the discrete facies and their distributions, multiple point statistic (MPS) has been developed as a ...
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