Results 21 to 30 of about 238,160 (305)
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
doaj +1 more source
IanMcFadden/Global-plant-frugivore-trait-matching: Global plant frugivore trait matching
, 2021 Code to reproduce the main results from: McFadden et al. Global plant-frugivore trait matching is shaped by climate and biogeographic history. Ecology Letters (in press)
Ian McFadden
core +1 more source
A New Approach for Production Prediction in Onshore and Offshore Tight Oil Reservoir
Journal of Marine Science and Engineering, 2023 Rapid technological advances have accelerated offshore and onshore tight oil extraction to meet growing energy demand. Reliable tools to carry out production prediction are essential for development of unconventional reservoirs.
Kaixuan Qiu +6 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
Four-Dimensional History Matching Using ES-MDA and Flow-Based Distance-to-Front Measurement
Energies, 2023 The use of 4D seismic data in history matching has been a topic of great interest in the hydrocarbon industry as it can provide important information regarding changes in subsurfaces caused by fluid substitution and other factors where well data is not ...
Eduardo Barrela +4 more
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Comprehensive Studies on Production Data Analysis of Hydrocarbon Reservoirs [PDF]
Journal of Chemical and Petroleum Engineering, 2020 A review of field production data reveals that usually, it is very difficult to apply available decline models because of poor quality and often noisy character of initial data and also unrealistic assumptions of the models. This paper tries to introduce
Mohammad Hosein Zareenejad +1 more
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Parallel Automatic History Matching Algorithm Using Reinforcement Learning
Energies, 2023 Reformulating the history matching problem from a least-square mathematical optimization problem into a Markov Decision Process introduces a method in which reinforcement learning can be utilized to solve the problem.
Omar S. Alolayan +2 more
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Distance Dependent Localization Approach in Oil Reservoir History Matching: A Comparative Study [PDF]
Iranian Journal of Chemistry & Chemical Engineering, 2014 To perform any economic management of a petroleum reservoir in real time, a predictable and/or updateable model of reservoir along with uncertainty estimation ability is required. One relatively recent method is a sequential Monte Carlo implementation of
Ebrahim Biniaz Delijani +2 more
doaj
Frontiers in Applied Mathematics and Statistics, 2019 Raanes et al. [1] revised the iterative ensemble smoother of Chen and Oliver [2, 3], denoted Ensemble Randomized Maximum Likelihood (EnRML), using the property that the EnRML solution is contained in the ensemble subspace.
Geir Evensen +4 more
doaj +1 more source
ComputationA significant part of modern natural sciences aims to establish a model-based approach to describe the behavior of physical systems and forecast their dynamics in different scenarios.
Anton Gryzlov +2 more
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