Results 11 to 20 of about 238,160 (305)
Using History Matching for Prior Choice [PDF]
Technometrics, 2018 It can be important in Bayesian analyses of complex models to construct informative prior distributions which reflect knowledge external to the data at hand. Nevertheless, how much prior information an analyst can elicit from an expert will be limited due to constraints of time, cost and other factors.
Xueou Wang +4 more
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Streamline based History Matching [PDF]
, 2009 Streamline based reservoir simulation has been used with great success in the petroleum industry for decades. Fast computational speed together with the fact that sensitivities can be computed analytically along streamlines makes streamline based methods efficient for history matching problems.
Sandve, Tor Harald
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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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Reservoir automatic history matching: Methods, challenges, and future directions [PDF]
, 2023 Reservoir history matching refers to the process of continuously adjusting the parameters of the reservoir model, so that its dynamic response will match the historical observation data, which is a prerequisite for making forecasts based on the reservoir
Yao, Jun, Liu, Piyang, Zhang, Kai
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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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