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Keywords: representation
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Proceedings Papers

Paper presented at the SPE Reservoir Simulation Conference, March 28–30, 2023
Paper Number: SPE-212167-MS
... Abstract This paper presents a new deep learning-based parameterization approach for model calibration with two important properties: spatial adaptivity and multiresolution representation. The method aims to establish a spatially adaptive multiresolution latent space representation...
Proceedings Papers

Paper presented at the SPE Reservoir Simulation Conference, March 28–30, 2023
Paper Number: SPE-212177-MS
... with variational autoencoder (VAE) architecture to enable improved representation of complex spatial patterns and provide some degree of interpretability by allowing certain spatial features and attributes of a property map to be controlled by a single latent variable (generative factor), while remaining...
Proceedings Papers

Paper presented at the SPE Reservoir Simulation Conference, March 28–30, 2023
Paper Number: SPE-212196-MS
... convolutional autoencoder to extract the relevant features of 4D images and generate a reduced representation of the data. The architecture of the autoencoder is based on the well-known VGG-19 network, from which we take advantage of the transfer learning technique. Using a pre-trained model bypasses the need...
Proceedings Papers

Paper presented at the SPE Reservoir Simulation Conference, October 26, 2021
Paper Number: SPE-203949-MS
... tetrahedral grid grid discretization representation transmissibility modeling & simulation reservoir simulation tetrahedral mesh cartesian grid freedom unstructured grid petroleum engineer Introduction Numerical simulations of multiphase flow and transport in porous media are essential...
Proceedings Papers

Paper presented at the SPE Reservoir Simulation Conference, October 26, 2021
Paper Number: SPE-203932-MS
... demonstrates its usefulness for such complex and large problems and proves to be scalable and portable across multiple high-performance systems. enhanced recovery reservoir characterization subsurface storage reservoir simulation climate change scientific computing information representation...
Proceedings Papers

Paper presented at the SPE Reservoir Simulation Conference, October 26, 2021
Paper Number: SPE-203997-MS
... Abstract We present a deep learning architecture for efficient reduced-order implementation of ensemble data assimilation. Specifically, deep learning is used to improve two important aspects of data assimilation workflows: (i) low-rank representation of complex reservoir property distributions...
Proceedings Papers

Paper presented at the SPE Reservoir Simulation Conference, October 26, 2021
Paper Number: SPE-203970-MS
... challenges to achieve improved upscaled models for immiscible and miscible gas displacement conditions with a stepwise workflow. We first identify the need for a special permeability upscaling technique to improve the representation of the main reservoir heterogeneities and sub-grid features, smoothed during...
Proceedings Papers

Paper presented at the SPE Reservoir Simulation Conference, April 10–11, 2019
Paper Number: SPE-193850-MS
... propagation. This extends the capabilities of many legacy reservoir simulators to handle more physics. Artificial Intelligence complex reservoir scientific computing Fluid Dynamics hydraulic fracturing concentration reservoir simulator geomechanics representation fracture network velocity...
Proceedings Papers

Paper presented at the SPE Reservoir Simulation Conference, April 10–11, 2019
Paper Number: SPE-193895-MS
... procedure hard data algorithm training image PCA true model Durlofsky optimization problem parameterization iteration representation realization history matching Introduction History matching, also referred to as data assimilation or model calibration, entails the determination of model...
Proceedings Papers

Paper presented at the SPE Reservoir Simulation Conference, February 20–22, 2017
Paper Number: SPE-182707-MS
...-point statistics (covariances). Despite of these efforts, finding natural and simple representations of geological structures is still an active field of research. Tensor methodologies for parameter estimation constitute a relatively new subject in the reservoir simulation community, and Afra...
Proceedings Papers

Paper presented at the SPE Reservoir Simulation Conference, February 20–22, 2017
Paper Number: SPE-182675-MS
... where A is the frequency factor, E a is the activation energy level, R is the ideal gas constant and T is the temperature. In the described implementation, all species can be handled at multiple-energy levels which helps for accurate representation of kerogen transformation. Finally...
Proceedings Papers

Paper presented at the SPE Reservoir Simulation Conference, February 20–22, 2017
Paper Number: SPE-182685-MS
... of a simulation problem, which is similar to an approximate representation of space and time discretization performed in conventional simulation. Maintaining control of the error in approximate physics, we perform an adaptive parametrization to improve the performance of the method and adaptive coarsening...
Proceedings Papers

Paper presented at the SPE Reservoir Simulation Symposium, February 23–25, 2015
Paper Number: SPE-173272-MS
... geological uncertainty upper right corner representation linear solver expansion linear system geologic modeling accuracy kl 30 transmissibility Modeling & Simulation Fluid Dynamics kl expansion coefficient polynomial permeability gpc coefficient statistics equation Introduction...
Proceedings Papers

Paper presented at the SPE Reservoir Simulation Symposium, February 23–25, 2015
Paper Number: SPE-173289-MS
... to convert the discrete natural/hydraulic fractures into a data set to be used by the simulator, which allows more realistic representation of fractured reservoirs. Compared to previous studies, the developed preprocessing code introduces additional features to better represent structural properties...
Proceedings Papers

Paper presented at the SPE Reservoir Simulation Symposium, February 23–25, 2015
Paper Number: SPE-173238-MS
.... This creates a clear separation in time, space and variables. Particularly, when using an ensemble of reservoir models to quantify the geological uncertainty, an extra dimension (model dimension) in the tensor representation can be included to efficiently store the numerical solutions of multiple models...
Proceedings Papers

Paper presented at the SPE Reservoir Simulation Symposium, February 23–25, 2015
Paper Number: SPE-173279-MS
... presented here is that we use a modified version of the overlapping method presented in Jackson et al., (in press) to store the velocities defined inside a given element. While the velocity representation is different in each control volume, the FE representation of the convolution of σ and v...
Proceedings Papers

Paper presented at the SPE Reservoir Simulation Symposium, February 23–25, 2015
Paper Number: SPE-173270-MS
... truncation Reservoir Characterization continuous space simulation grid geometry complexity geologic complexity structural framework representation stratigraphic framework depositional geologic concept boundary grid generation grid Introduction Structural and stratigraphic frameworks...
Proceedings Papers

Paper presented at the SPE Reservoir Simulation Symposium, February 23–25, 2015
Paper Number: SPE-173275-MS
.... We recently introduced sparse representations of unknown reservoir properties for history matching by exploiting the correlation in their spatial distribution. In this approach, during history matching, instead of estimating reservoir properties for each model grid cell, the sparse representation...
Proceedings Papers

Paper presented at the SPE Reservoir Simulation Symposium, February 18–20, 2013
Paper Number: SPE-163584-MS
..., POD or DEIM acts as a data filter that additionally aids at designing a more compact RBF network representation suitable for targeting fast reservoir predictions. Numerical results show significant accelerations with respect to running the original simulation model on a set of field-motivated cases...

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