Results 11 to 20 of about 8,633,749 (309)
Energies, 2020 Reservoir history matching is a well-known inverse problem for production prediction where enormous uncertain reservoir parameters of a reservoir numerical model are optimized by minimizing the misfit between the simulated and history production data ...
Dongmei Zhang +4 more
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A Semi-Analytical Method for History Matching and Improving Geological Models of Layered Reservoirs: CGM Analytical Method [PDF]
Journal of Chemical and Petroleum Engineering, 2018 History matching is used to constrain flow simulations and reduce uncertainty in forecasts. In this work, we revisited some fundamental engineering tools for predicting waterflooding behavior to better understand the flaws in our simulation and thus find
Jagar Ali, Karl Stephen
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IEEE Access, 2021 In power systems modelling, optimization methods based on certain objective function(s) are widely used to provide solutions for decision makers.
Hailiang Du +3 more
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Energies, 2020 Given reliable parameters, a newly developed semianalytic model could offer an efficient option to predict the performance of the multi-fractured horizontal wells (MFHWs) in unconventional gas reservoirs.
Qi Zhang +4 more
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Applications of Machine Learning in Subsurface Reservoir Simulation—A Review—Part I
Energies, 2023 In recent years, machine learning (ML) has become a buzzword in the petroleum industry with numerous applications that guide engineers toward better decision making.
Anna Samnioti, Vassilis Gaganis
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Smurf: System for Modelling with Uncertainty Reduction, and Forecasting
Journal of Open Research Software, 2021 Smurf is an open source modular system developed in Python for running and cycling data assimilation (DA) systems. It is organised around three super classes for numerical model management, assimilation schemes and observation instruments.
Isabelle Mirouze, Sophie Ricci
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Energies, 2017 The Ketzin pilot site for CO 2 storage in Germany has been operated from 2007 to 2013 with about 67 kt of CO 2 injected into the Upper Triassic Stuttgart Formation. Main objectives of this undertaking were assessing general feasibility of
Thomas Kempka +3 more
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Data-Space Inversion With a Recurrent Autoencoder for Naturally Fractured Systems
Frontiers in Applied Mathematics and Statistics, 2021 Data-space inversion (DSI) is a data assimilation procedure that directly generates posterior flow predictions, for time series of interest, without calibrating model parameters.
Su Jiang +2 more
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The Origins, History, and Design of the Resident Match [PDF]
JAMA, 2003 In the early 1900s, competition among hospitals for interns and among medical students for good internships led to increasingly early offers of internships to students. By the 1940s, appointments were often made as early as the beginning of the junior year of medical school.
openaire +3 more sources
, 2011 This article introduces the quantitative analysis of choice behavior by describing a number of equations developed over the years to describe the relation between the allocation of behavior under concurrent schedules of reinforcement and the consequences
Timothy L. Edwards +7 more
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