Search Results - "Le Ravalec, Mickaele"

Revisited Formulation and Applications of FFT Moving Average by de Figueiredo, Leandro Passos, Grana, Dario, Le Ravalec, Mickaele

“…The fast Fourier transform-moving average (FFT-MA) is an efficient method for the generation of geostatistical simulations. The method relies on the…”
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Identifying influence areas with connectivity analysis – application to the local perturbation of heterogeneity distribution for history matching by Gervais, Véronique, Ravalec, Mickaële Le

“…Numerical representations of a target reservoir can help to assess the potential of different development plans. To be as predictive as possible, these…”
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History matching of petroleum reservoir models by the Ensemble Kalman Filter and parameterization methods by Heidari, Leila, Gervais, Véronique, Ravalec, Mickaële Le, Wackernagel, Hans

“…The Ensemble Kalman Filter (EnKF) has been successfully applied in petroleum engineering during the past few years to constrain reservoir models to production…”
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Selecting an Appropriate Upscaled Reservoir Model Based on Connectivity Analysis by Preux, Christophe, Le Ravalec, Mickaële, Enchéry, Guillaume

“…Reservoir engineers aim to build reservoir models to investigate fluid flows within hydrocarbon reservoirs. These models consist of three-dimensional grids…”
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Multi-fidelity meta-modeling for reservoir engineering - application to history matching by Thenon, Arthur, Gervais, Véronique, Ravalec, Mickaële Le

“…Defining representative reservoir models usually calls for a huge number of fluid flow simulations, which may be very time-consuming. Meta-models are built to…”
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Accounting for diagenesis overprint in carbonate reservoirs using parametrization technique and optimization workflow for production data matching by León Carrera, Maria Fernanda, Barbier, Mickaël, Le Ravalec, Mickaele

“…Diagenesis is rarely accounted for in the standard modeling workflows for carbonate reservoirs, although it has a huge impact on both porosity and…”
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The FFT Moving Average (FFT-MA) Generator: An Efficient Numerical Method for Generating and Conditioning Gaussian Simulations by Ravalec, Mickaële Le, Noetinger, Benoît, Hu, Lin Y

“…A fast Fourier transform (FFT) moving average (FFT-MA) method for generating Gaussian stochastic processes is derived. Using discrete Fourier transforms makes…”
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Taking climate change seriously: Time to credibly communicate on corporate climate performance by Le Ravalec, Mickaele, Rambaud, Alexandre, Blum, Véronique

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Taking climate change seriously: Time to credibly communicate on corporate climate performance by Le Ravalec, Mickaele, Rambaud, Alexandre, Blum, Véronique

“…To address climate change, regulators have required companies to provide more information about their environmental impact such as their greenhouse gas…”
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Pattern-based conditional simulation with a raster path: a few techniques to make it more efficient by Gardet, Caroline, Le Ravalec, Mickaele, Gloaguen, Erwan

“…Mass transport is known to depend on heterogeneity in geological formations. This entails geological bodies with complex geometries. The major interest of…”
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Calibrating transmissivities from piezometric heads with the gradual deformation method: An application to the Culebra Dolomite unit at the Waste Isolation Pilot Plant (WIPP), New Mexico, USA by Le Ravalec, Mickaële, Mouche, Emmanuel

“…► We model transmissivities within the Culebra Dolomite unit. ► We solve the inverse problem with the gradual deformation method. ► We apply a variant of the…”
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Multiscale Parameterization of Petrophysical Properties for Efficient History-Matching by Gardet, Caroline, Le Ravalec, Mickaele, Gloaguen, Erwan

“…The prediction of fluid flows within hydrocarbon reservoirs requires the characterization of petrophysical properties. Such characterization is performed on…”
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Simultaneous Inversion of Production Data and Seismic Attributes: Application to a Synthetic SAGD Produced Field Case by Tillier, E., Le Ravalec, M., Da Veiga, S.

“…The joint use of production data and time-lapse seismic attributes can help to understand fluid flows within geological formations and to build reliable…”
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Maximum likelihood classification for facies inference from reservoir attributes: Application to seismic characterization and reservoir model reconstruction by Da Veiga, Sebastien, Le Ravalec, Mickaele

“…A cluster analysis methodology is developed to recover facies realizations from observed reservoir attributes. A maximum likelihood estimator allows us for…”
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Advanced Integrated Workflows for Incorporating Both Production and 4D Seismic-Related Data into Reservoir Models by Le Ravalec, M., Tillier, E., Da Veiga, S., Enchery, G., Gervais, V.

“…Reservoir models are used for predicting future oil recovery or for evaluating alternative field management scenarios. They can be considered as reliable when…”
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Maximum likelihood classification for facies inference from reservoir attributes by Da Veiga, Sebastien, Le Ravalec, Mickaele

“…A cluster analysis methodology is developed to recover facies realizations from observed reservoir attributes. A maximum likelihood estimator allows us for…”
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Optimization with the Gradual Deformation Method by Ravalec-dupin, Mickaële Le, Noetinger, Benoît

“…Building reservoir models consistent with production data and prior geological knowledge is usually carried out through the minimization of an objective…”
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Pilot Block Method Methodology to Calibrate Stochastic Permeability Fields to Dynamic Data by Le Ravalec-Dupin, Mickaele

“…In the present paper, a new geostatistical parameterization technique is introduced for solving inverse problems, either in groundwater hydrology or petroleum…”
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Cosimulation as a perturbation method for calibrating porosity and permeability fields to dynamic data by Le Ravalec-Dupin, Mickaele, Da Veiga, Sébastien

“…The geological characterization of formations such as reservoirs or underground storage sites entails the description of the spatial distribution of…”
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Deriving microstructure and fluid state within the Icelandic crust from the inversion of tomography data by Adelinet, M., Dorbath, C., Le Ravalec, M., Fortin, J., Guéguen, Y.

“…The inversion of seismic data to infer rock microstructural properties and fluid flow patterns in the crust is a challenging issue. In this paper, we develop…”
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