Αποτελέσματα Αναζήτησης
16 Μαρ 2024 · Mathematical modeling techniques for reservoir simulation, including single-phase and multi-phase flow models, along with numerical simulation methods such as finite difference, finite...
14 Σεπ 2020 · We adopt the forecast-based model in this study to understand whether the benefits of representing forecasts are maintained when reservoirs are simulated within the LHM. The data-driven release scheme (C) deploys forecasts based on perfect flow ahead.
20 Αυγ 2023 · Subsurface reservoir models can be highly complex, exhibiting high inhomogeneity, a vast variance of petrophysical properties, such as porosity and permeability, and peculiar shapes capturing the structure and stratigraphy of the real reservoir. Figure 1. Reservoir model with millions of grid blocks.
8 Δεκ 2022 · Reservoir simulation and modelling has been a significant tool in increasing oil and gas recovery. Engineers are able to better visualize the subsurface environment, study fluid dynamics, and come up with ideas for production improvement by applying reservoir simulation and modelling (Fanchi, 2005; Islam et al., 2016).
10 Ιουλ 2021 · Reservoir simulation is the backbone of many decision-making processes in the oil and gas industry. Topics such as history matching, uncertainty quantification and production optimisation are key research areas in petroleum engineering and geosciences.
22 Φεβ 2022 · Eventhough extensive research works have been done on the coupled geomechanics and flow modeling of fractured reservoirs using the EDFM, the effect of matrix permeability anisotropy is often overlooked, which might significantly affect the performance of the reservoir in coupled geomechanics and flow simulations.
Data-driven reservoir modeling enables to bridge measured geo-data and geological model to explore various uncertainties and minimize exploration risks. AI-based reservoir simulation such as proxy model further integrates the measurement into the physics of fluid flow in porous media.
