178 citations · 321 across the 4 of their papers we have counts for
4 papers
Recent Developments Combining Ensemble Smoother and Deep Generative Networks for Facies History Matching
Smith W. A. Canchumuni, Jose D. B. Castro, Júlia Potratz +2
Ensemble smoothers are among the most successful and efficient techniques currently available for history matching. However, because these methods rely on Gaussian assumptions, the…
Data-Space Inversion with Ensemble Smoother
Mateus M. Lima, Alexandre A. Emerick, Carlos E. P. Ortiz
Reservoir engineers use large-scale numerical models to predict the production performance in oil and gas fields. However, these models are constructed based on scarce and often in…
Towards a Robust Parameterization for Conditioning Facies Models Using Deep Variational Autoencoders and Ensemble Smoother
Smith W. A. Canchumuni, Alexandre A. Emerick, Marco Aurélio C. Pacheco
The literature about history matching is vast and despite the impressive number of methods proposed and the significant progresses reported in the last decade, conditioning reservo…
Analysis of Geometric Selection of the Data-Error Covariance Inflation for ES-MDA
Alexandre A. Emerick
The ensemble smoother with multiple data assimilation (ES-MDA) is becoming a popular assisted history matching method. In its standard form, the method requires the specification o…