Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/345760
Type: Artigo
Title: Semiquantitative 4D seismic interpretation integrated with reservoir simulation: application to the norne field
Author: Santos, Juliana Maia Carvalho dos
Davolio, Alessandra
Schiozer, Denis Jose
MacBeth, Colin
Abstract: Time-lapse (or 4D) seismic attributes are extensively used as inputs to history matching workflows. However, this integration can potentially bring problems if performed incorrectly. Some of the uncertainties regarding seismic acquisition, processing, and interpretation can be inadvertently incorporated into the reservoir simulation model yielding an erroneous production forecast. Very often, the information provided by 4D seismic can be noisy or ambiguous. For this reason, it is necessary to estimate the level of confidence on the data prior to its transfer to the simulation model process. The methodology presented in this paper aims to diagnose which information from 4D seismic that we are confident enough to include in the model. Two passes of seismic interpretation are proposed: the first, intended to understand the character and quality of the seismic data and, the second, to compare the simulation-to-seismic synthetic response with the observed seismic signal. The methodology is applied to the Norne field benchmark case in which we find several examples of inconsistencies between the synthetic and real responses and we evaluate whether these are caused by a simulation model inaccuracy or by uncertainties in the actual observed seismic. After a careful qualitative and semiquantitative analysis, the confidence level of the interpretation is determined. Simulation model updates can be suggested according to the outcome from this analysis. The main contribution of this work is to introduce a diagnostic step that classifies the seismic interpretation reliability considering the uncertainties inherent in these data. The results indicate that a medium to high interpretation confidence can be achieved even for poorly repeated data
Subject: Reservatórios
Country: Estados Unidos
Editor: Society of Exploration Geophysicists
Rights: Fechado
Identifier DOI: 10.1190/INT-2017-0122.1
Address: https://library.seg.org/doi/10.1190/INT-2017-0122.1
Date Issue: 2018
Appears in Collections:FEM - Artigos e Outros Documentos
Cepetro - Artigos e Outros Documentos

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