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Supercomputing in Reservoir Simulation
Published in Hojjat Adeli, Supercomputing in Engineering Analysis, 2020
Although some progress will continue to be made in the vectorization and parallelization of linear solution algorithms, such as those discussed in Section 7, the author feels that fundamental, new advances in supercomputing will require the more accurate discretization techniques discussed in Sections 3 and 4 and domain decomposition/local grid refinement techniques which can exploit the enormous potential for parallelism at various levels of granularity. The chapter concludes with a discussion of some computational aspects of the algorithms presented and some conclusions about future potential and directions for research in the use of supercomputers in reservoir simulation.
2 in Geological Formations
Published in Shahab D. Mohaghegh, 2, 2018
Shahab D. Mohaghegh, Alireza Haghighat, Shohreh Amini
Developing a reservoir simulation model and executing it tens of thousands of times under different operational scenarios and different distributions of reservoir characteristics ultimately provides the required solution space that can be used for a practical uncertainty analysis. The most widely used technique for this purpose is Monte Carlo simulation. However, accomplishing uncertainty analysis using the Monte Carlo simulation method is impractical for a geologically complex reservoir simulation model, which requires a few hours (or even several minutes) for a single run (execution).
Introduction
Published in Sukumar Laik, Offshore Petroleum Drilling and Production, 2018
Reservoir simulation is no more than a methodology, a valuable tool to predict the behaviour of oil reservoirs that relates the changes in reservoir pressure to the production and injection levels, to the reserves and to the properties of rock and fluids, such as porosity, saturation and permeability.
A review on proppant transport in complex fracture geometries
Published in Petroleum Science and Technology, 2023
Zhicheng Wen, Liehui Zhang, Huiying Tang, Yulong Zhao, Jianfa Wu, Haoran Hu
The results have shown that using small-size and low-density proppant and high-viscosity and high-rate fluid could improve the proppant placement effectiveness in the deep region of complex fracture geometries. The mainly reported modes for proppant diversion at the intersection of primary and secondary fractures are proppant flowing around the intersection and proppant falling into secondary fractures from primary fractures due to the effect of gravity. Although important insights have been provided from these studies, the numerical modeling of proppant transport in complex fracture geometries faces some challenges that should be solved in future work. First, a multi-scale modeling framework should be established and developed to reach a compromise between modeling accuracy and computation efficiency for solving field-scale proppant transport problems. Second, it is necessary to combine proppant transport modeling and petroleum reservoir simulation for optimizing treatment parameters.
Fault and fracture study by incorporating borehole image logs and supervised neural network applied to the 3D seismic attributes: a case study of pre-salt carbonate reservoir, Santos Basin, Brazil
Published in Petroleum Science and Technology, 2022
Amir Abbas Babasafari, Guilherme Furlan Chinelatto, Alexandre Campane Vidal
(Wright and Rodriguez 2018; Martyushev 2020). Hence, the geometry evaluation of pore types is a crucial part of reservoir characterization in carbonate fields. The importance and advantages of fracture study can be summarized as follows:Dual porosity estimation and updating reservoir models.Prediction of fluid flow and permeability, which enhance reservoir simulation models and history matching.Better analysis of hydrodynamic and stress regimes of fault systems and also diagenesis evaluation.Enhanced well planning, mud weight, and casing design to reduce the drilling risks.
SPH Modelling of Dam-break Floods, with Damage Assessment to Electrical Substations
Published in International Journal of Computational Fluid Dynamics, 2021
Andrea Amicarelli, Sauro Manenti, Marco Paggi
With respect to the state-of-the-art model, the SPH code shows several advantages: better representation of the most risky/intense flood stage (included the water depth maxima); simulation of the reservoir with neither simplifications nor calibrations (ref., outlet section of the reservoir); simulation of a progressive dam break (beyond the more approximated instantaneous dam break) by means of explicit simulation of the mobile gate, to improve the representation of the flood initial stage; use of a numerical symmetry plane (boundary conditions) to only simulate half domain taking advantage from the experimental symmetry conditions; possible simulation of transported solid structures (e.g. vehicles, tree trunks) and granular material; 3D modelling (the state-of-the-art porous model is 2D, with Shallow-Water approximation: hydrostatic pressure profiles, velocity is uniform along the vertical, …); detailed fluid dynamics analysis within the urban canopy (urban fabric), included fluid-structure interactions (the porous models do not provide a direct modelling of the flood-building interactions); effective performance even at coarse spatial resolution (for preliminary analyses).