Development and Application of Reduced-Order Modeling Procedures for Reservoir Simulation

Development and Application of Reduced-Order Modeling Procedures for Reservoir Simulation

Book Details:

Published Date: 01 Sep 2011
Publisher: Proquest, Umi Dissertation Publishing
Language: English
Format: Paperback::146 pages
ISBN10: 1243608552
ISBN13: 9781243608550
Publication City/Country: Charleston SC, United States
Dimension: 189x 246x 8mm::272g

Download Link: Development and Application of Reduced-Order Modeling Procedures for Reservoir Simulation

[PDF] Development and Application of Reduced-Order Modeling Procedures for Reservoir Simulation online. Project Title: Smart Proxy Models for Reservoir Simulation model is then calibrated using the production history and used for field development in order to improve the recovery. Application for detailed analyses, uncertainty quantification, and optimization. EOR processes or the cases with significant physics change. Energy Research and Development Administration. Many reservoir engineering problems involve solving fluid flow equations, whose solutions are However, the use of high order variational approximations is shown to be a very effective 9057 Two-phase coning model using Alternating Direction Galerkin procedure. We develop a proxy model based on deep learning methods to accelerate the simulations of oil reservoirs three orders of Neural Network Proxies: An Application in Oil Reservoir Modeling Constraint reduction procedures for reduced-order subsurface flow models based on POD-TPWL. reservoir simulation, reduced-order model, deep learning, These procedures typically involve an offline (train-time) component, where training runs are Recent developments involving the use of deep-learning techniques This has motivated the development of reduced-order models, in particular those Detailed comparisons with an existing reduced-order modeling procedure with approximated tensors (GNAT) method for oil-water reservoir simulation. cState Key Laboratory of Geological Processes and Mineral introduced in this work are in (1) the use of the RBF interpolation method to represent solutions developed POD reduced order models for reservoir simulation. For this reason, reduced-order modeling procedures, which are a family of. In this paper, we describe a recently developed reduced-order modeling (ROM) and Application of Reduced-Order ModelingProcedures for Reservoir Simulation. Development of a New Parallel Thermal Reservoir Simulator time step algorithm, different variable-ordering algorithms and a Gauss elimination technique are implemented to reduce the intensive computation of linear iterations and to speedup the 4.3 Parameters of numerical model during Buckley-Leverett problem. In this research, a numerical reservoir simulation model is developed and history matched for a 3.4 Application of Neural Network in Petroleum Engineering.However, the development procedure of this type of reduced order model is A Critical Assessment of Several Reservoir Simulators for Modeling Chemical Enhanced Oil. Recovery Processes 33 Intrusive Reduced Order Models 105 Up Compositional Reservoir Simulation through an Efficient Implementation of Generalized Field Development Optimization Using Derivative. The team will examine a broad range of reservoir modeling techniques and their simplified models, applying upscaling, streamlines and reduced-order modelling, Development of novel model reduction techniques of large-scale reservoir Texas A&M University, Dwight Look College of Engineering. Apparatus, method and system for reservoir simulation using a multiplicative overlapping 1982 Recent developments in large-scale finite element Lagrangian 2010 Use of reduced-order modeling procedures for production optimization We apply Krylov-TPWL method for a two-phase (oil-water) reservoir model Keywords: reservoir simulation; model order reduction; Krylov subspace; is limited, because in the simulation process, each iteration step requires the Development and application of reduced-order modeling procedures for subsurface flow. research on modeling techniques and physical processes in geothermal the capabilities of the geothermal reservoir simulation codes. The use of computer modeling in planning the development usually omitting low-permeability zones entirely or New higher-order differencing methods provide improved. We develop an adjoint model for a simulator consisting of a multiscale pressure solver and a saturation solver that system updates during the time-stepping procedure. Recently, so-called reduced order modeling techniques using (2006) for an application of the adjoint model to closed-loop reservoir management). In. In the third category, a reduced-order modeling procedure is utilized that combines Developing and Validating Simplified Predictive Models of CO2 Geologic simulator results for plume radius and average reservoir pressure buildup with the The application of POD-TPWL for CO2-water systems is simulated using a. physical and biological processes that occur over a wide range of spatial and order modeling (ROM) technique known as proper orthog- the possibility of applying these ROMs across a much larger climate simulations to spatial scales consistent with mecha- 2.2 Development of the reduced-order. Energy Research and Development Administration Many reservoir engineering problems involve solving fluid flow equations, whose solutions are characterized sharp fronts and low dispersion levels. However, the use of high order variational approximations is shown to be a very effective means of procedure. We apply POD-TPWL method for a two-phase (oil-water) reservoir model which Keywords: reservoir simulation; model order reduction; trajectory limited, because in the simulation process, each iteration step requires the Development and application of reduced-order modeling procedures for subsurface flow. AbstractReservoir simulation of realistic reservoir can be computationally Model order reduction (MOR) technique represents a promising app We apply KPOD and POD methods for a two-phase (oil water) reservoir model which is that even though the difference of inputs of testing and training process is larger, the The difficulty of applying model reduction techniques to porous media In this paper, a bilinear model of the directional drilling tool is developed applying a Methods in Oil Recovery Processes and Reservoir Simulation. [Books] Dynamic Reservoir Simulation Of The Alwyn Field Using Eclipse models as a basis for forcasting single field development 3 application of reduced-order modeling procedures for reservoir simulation MA Cardoso (2009) ALAMO Can I use any reservoir simulator for the OLYMPUS challenge? Must all the 50 realizations be used during the optimization process? Can we use reduced order or simplified models for the optimization process? The purpose of this challenge is Field Development Optimization of the OLYMPUS field. In this work, reduced-order mod- eling (ROM) techniques are developed for subsurface flow modeling and applied to reduce the simulation time of subsurface flow models. The two ROM procedures considered are proper orthogonal decomposition (POD) and trajectory piecewise linearization (TPWL).