Deterministic ensemble smoother with multiple data assimilation as an alternative for history-matching seismic data

DOI10.1007/s10596-018-9745-5zbMath1406.86021OpenAlexW2802033629MaRDI QIDQ1715353

Alexandre Anozé Emerick

Publication date: 4 February 2019

Published in: Computational Geosciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10596-018-9745-5

zbMATH Keywords

history matchingtime-lapse seismicdeterministic analysisensemble smoother with multiple data assimilation

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Monte Carlo methods (65C05) Seismology (including tsunami modeling), earthquakes (86A15) Inverse problems in geophysics (86A22) Geostatistics (86A32)

Related Items (3)

A novel methodological approach for land subsidence prediction through data assimilation techniques ⋮ Batch seismic inversion using the iterative ensemble Kalman smoother ⋮ Novel iterative ensemble smoothers derived from a class of generalized cost functions

Uses Software

• GSLIB

Cites Work

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• Inverse Problem Theory and Methods for Model Parameter Estimation
• The ensemble Kalman filter for combined state and parameter estimation
• Moving averages for Gaussian simulation in two and three dimensions

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