Establishing Pattern Correlation Between Time Lapse Seismic and Saturation

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Abstract/Contents

Abstract
The extensive spatial coverage of seismic data provides a unique source of information widely used for surface and facies modeling, faults detection, more generally static heterogeneities modeling. The advent of 4D time-lapse seismic surveys opens a new dimension: the possibility of monitoring fluid flow hence production. Discounting the favorable cases in which fluid displacement can be seen directly from time lapse seismic data, the preliminary challenge is to establish a correlation between saturation changes and seismic data changes.In this research, I address first the procedures for flow simulation and forward seismic simulation, then I focus on the challenge to quantitatively detect the correlation between seismic and water saturation variables. The exhaustively known Stanford V reservoir, over which both flow simulation results and repeated seismic surveys were obtained, is used as the study reservoir. Because of the low resolution of seismic data, one should not expect any useful point-to-point correlation; instead, in the general case one might expect correlations between spatial patterns of seismic time differences and corresponding spatial patterns of saturation changes.This preliminary study aims at developing a general methodology to establish such pattern correlations, hence preparing the way for a systematic utilization of time lapse seismic surveys beyond trivial visual observation. Principal component analysis (PCA) and canonical analysis (CA) were applied to both seismic and water saturation time lapse data. It was found that the pattern correlation of the two first PC's (one for seismic one for saturation) is high around 0.70, which is reflective of the excellent visual pattern correspondence. Canonical analysis increases the correlation value up to almost 0.8. With the help of geostatistical tools, such correlation could be used to estimate or simulate time lapse saturation values using observed PC's or CC's values of seismic time lapse data.

Description

Type of resource text
Date created May 2003

Creators/Contributors

Author Wu, Jianbing
Primary advisor Journel, Andre G.
Degree granting institution Stanford University, Department of Petroleum Engineering

Subjects

Subject School of Earth Energy & Environmental Sciences
Genre Thesis

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User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor.

Preferred citation

Preferred Citation
Wu, Jianbing. (2003). Establishing Pattern Correlation Between Time Lapse Seismic and Saturation. Stanford Digital Repository. Available at: https://purl.stanford.edu/tp905vg2436

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Master's Theses, Doerr School of Sustainability

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