Uncertainty quantification in time-lapse seismic imaging: a full-waveform approach

M Kotsi, A Malcolm, G Ely - Geophysical Journal International, 2020 - academic.oup.com
Time-lapse seismic monitoring using full-wavefield methods aims to accurately and robustly
image rock and fluid changes within a reservoir. These changes are typically small and …

[PDF][PDF] Machine learning methods in geoscience

G Schuster - 2024 - library.seg.org
This book presents the theory of machine learning (ML) algorithms and their applications to
geoscience problems. Geoscience problems include traveltime picking of seismograms by a …

4D multiparameter adaptive Metropolis Hastings inversion

M Kotsi, A Malcolm, G Ely - SEG International Exposition and Annual …, 2019 - onepetro.org
In geophysical imaging, uncertainty quantification is crucial for decision making. 4D seismic
imaging aims to accurately recover changes that take place within a reservoir. These …

Time-lapse seismic imaging and uncertainty quantification

M Kotsi - 2020 - research.library.mun.ca
Time–lapse (4D) seismic monitoring is to date the most commonly used technique for
estimating changes of a reservoir under production. Full–Waveform Inversion (FWI) is a high …

Time-lapse difference inversion based on the modified reflectivity method with differentiable hyper-Laplacian blocky constraint

W Tang, J Li, W Zhang, J Zhang, W Geng, Y Li - Geophysics, 2021 - library.seg.org
Time-lapse (TL) seismic has great potential in monitoring and interpreting time-varying
variations in reservoir fluid properties during hydrocarbon exploitation. Obtaining the …

Four-dimensional seismic uncertainty quantification of the Hebron Field, Offshore Newfoundland, Canada

S Lethbridge, A Malcolm, JK Welford… - First EAGE Workshop on …, 2021 - earthdoc.org
A 4D multi-parameter adaptive Metropolis Hastings algorithm calculated 400,000 potential
time-lapse seismic changes for the Pool 1 reservoir of the Hebron Field offshore …