+ Site Statistics
References:
54,258,434
Abstracts:
29,560,870
PMIDs:
28,072,757
+ Search Articles
+ Subscribe to Site Feeds
Most Shared
PDF Full Text
+ PDF Full Text
Request PDF Full Text
+ Follow Us
Follow on Facebook
Follow on Twitter
Follow on LinkedIn
+ Translate
+ Recently Requested

Establishing spatial pattern correlations between water saturation time-lapse and seismic amplitude time-lapse



Establishing spatial pattern correlations between water saturation time-lapse and seismic amplitude time-lapse



Journal of Canadian Petroleum Technology 45(11): 15-20



The extensive spatial coverage of seismic data provides a unique source of information widely used for surface and facies modelling, faults detection, and more generally, static heterogeneities modelling. The advent of time-lapse (4D) seismic surveys opens a new dimension-the possibility of monitoring fluid flow, and hence, production. Discounting the favourable 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. Because of the low resolution of seismic data, one should not expect any useful point-to-point correlation. Instead, in general one might expect correlations between spatial patterns of seismic time differences and corresponding spatial patterns of saturation changes. Spatial patterns involve multiple locations within a fixed template window and are summarized by the principal/canonical components (PC/CC) of the within-template variability of each variable. This preliminary study aims at developing a general methodology to establish such pattern correlations, thereby preparing the way for a systematic utilization of time-lapse seismic surveys beyond trivial visual observation. The very well-known synthetic Stanford V 3D clastic reservoir, for which both flow simulation results and repeated synthetic seismic surveys are available, is used to explore such correlations. It is found that the first few PCs or CCs of the 4D seismic and water saturation variables do capture the spatial patterns, and they account for most of the total variance. Through the principal/canonical analysis, significant correlation is found between multiple-point spatial patterns of the 4D seismic variable and spatial patterns of the water saturation time-lapse variable. The 4D seismic patterns are then put to use to predict changes in saturation.

(PDF emailed within 0-6 h: $19.90)

Accession: 018851856

Download citation: RISBibTeXText

DOI: 10.2118/06-11-01


Related references

Quantifying remaining oil saturation using time-lapse seismic amplitude changes at fluid contacts. Petroleum Geoscience 23(2): 238-250, 2017

Prediction of residual oil saturation by using the ratio of amplitude attributes of time-lapse seismic data. Geophysics 82(1): Im1-Im12, 2017

Using time-lapse seismic amplitude data to detect variations of pore pressure and fluid saturation due to oil displacement by water: a numerical study based on one-dimensional prestack inversion. Journal of Geophysics and Engineering 3(2): 177-193, 2006

Minimal-effort time-lapse seismic monitoring; exploiting the relationship between acquisition and imaging in time-lapse data. The Leading Edge (Tulsa, OK) 17(10): 1440-1443, 1998

Time-lapse saturation monitoring and its applications to time-lapse mapping. Proceedings Middle East Oil Show: 483-494. 1989., 1989

Seismic preprocessing and amplitude cross-calibration for a time-lapse amplitude study on seismic data from the Oseberg reservoir. Geophysical Prospecting 53(2): 265-282, 2005

Statfjord study demonstrates use of neural network to predict porosity and water saturation from time-lapse seismic. First Break 18(2): 65-69, 2000

Using time-lapse 4D seismic to monitor saturation changes in carbonate reservoirs. Journal of the Geological Society of India 88(6): 736-742, 2016

Saturation scale effect on time-lapse seismic signatures. Geophysical Prospecting 64(4): 1001-1015, 2016

Seismic imaging of reservoir flow properties; time-lapse amplitude changes. Geophysics 69(6): 1425-1442, 2004

Discrimination between pressure and fluid saturation changes from time-lapse seismic data. Geophysics 66(3): 836-844, 2001

Discrimination between phase and amplitude attributes in time-lapse seismic streamer data. Geophysics 71(4): O9-O19, 2006

Underground gas storage; estimating gas column height and saturation with time lapse seismic. Petroleum Geoscience 7(2): 155-162, 2001

Time-lapse seismic modeling and inversion of CO (sub 2) saturation for storage and enhanced oil recovery. The Leading Edge (Tulsa, OK) 27(4): 506-516, 2008

Time-lapse seismic modeling and inversion of CO2 saturation for storage and enhanced oil recovery. Leading Edge (Tulsa, OK) 27.4, 2008