Dissertação de Mestrado De: cienciavitae
Iterative Geostatistical Time Lapse (4D) Seismic Inversion
2023
—Informações chave
Autores:
Orientadores:
Publicado em
19/12/2023
Resumo
Time-lapse (4D) seismic analysis is crucial for the containment and conformance assessment of CCS projects. However, interpreting CCS data for 4D signals like the Sleipner dataset faces challenges from noise, velocity effects, and thin-bed tuning. Advances in data processing and quantitative analysis methods offer promise for more accurate interpretations. Seismic reservoir characterization relies on inverted elastic subsurface models to predict the distribution of porosity, permeability, and fluid saturation. Probabilistic seismic inversion methods provide high-resolution models with uncertainty assessment. Our proposed iterative geostatistical time-lapse inversion methodology predicts the difference in acoustic impedance \ac{Ip} using available seismic data. It considers all available vintages simultaneously and uses geostatistical simulations for perturbation, driving convergence and better exploration of the model parameter space. We apply this methodology to monitor the growth of the CO2 plume from 1994 to 2006 using the 2007 processing of the Sleipner's seismic data.
Detalhes da publicação
Autores da comunidade :
Baraa Osman
ist1101200
Orientadores desta instituição:
João Narciso
ist33882
Domínio Científico (FOS)
environmental-engineering - Engenharia do Ambiente
Idioma da publicação (código ISO)
por - Português
Acesso à publicação:
Embargo levantado
Data do fim do embargo:
17/12/2024
Nome da instituição
Instituto Superior Técnico