Characterizing Fluid Saturation Distribution Using Cross-Well Seismic and Well Data: A Geostatistical Study

Author(s):  
Eduardo A. Idrobo ◽  
Adel H. Malallah ◽  
Akhil Datta-Gupta ◽  
Jorge O. Parra
2020 ◽  
Author(s):  
Reinaldo Jose Angulo Yznaga ◽  
Kresimir Vican ◽  
Venkat Jambunathan ◽  
Ehab Najm ◽  
Nacer Guergueb ◽  
...  

Geophysics ◽  
1992 ◽  
Vol 57 (2) ◽  
pp. 313-325 ◽  
Author(s):  
Allan G. Snyder ◽  
Keith H. Wrolstad

An amplitude versus offset (AVO) study was undertaken for Lines ECL-1 and -2 and Well A of the United Kingdom North Sea to determine if variations in fluid saturation can be detected in Eocene sand mounds. These features are a major play in this area. The Eocene sands contain gas and oil in Well A. Elastic modeling using the well data was done to match the seismic common midpoint (CMP) gather. Target zone fluid saturations in the model were then altered to investigate changes in AVO and stacked trace response. The model and field data were processed using the same processing steps and parameters. Seismic offset dependent amplitude stack (SODAS), a color display system, was used to display the AVO results for the field and model data. It was found that gas, oil, and water sands could be distinguished from each other, though full and partial gas saturation were indistinguishable. Clay content, porosity, and multiple reflections also had important effects on the AVO response. On the basis of the hydrocarbon indicators that were investigated we then interpreted the hydrocarbon limits on Line ECL-1 with well control and evaluated Line ECL-2, which has an undrilled prospect. From our analysis, we concluded that waterbearing sands were most likely present in the prospect area on Line ECL-2, though the data is rather inconclusive.


2016 ◽  
Vol 4 (1) ◽  
pp. SA83-SA94 ◽  
Author(s):  
Machiko Tamaki ◽  
Kiyofumi Suzuki ◽  
Tetsuya Fujii ◽  
Akihiko Sato

Accurate reservoir potential evaluation requires reliable 3D reservoir models. Geostatistical simulation techniques can reproduce the heterogeneity and quantify the uncertainty in a reservoir. We have applied sequential Gaussian simulation with collocated cokriging to generate the spatial distribution of gas hydrate (GH) saturation around a gas production test site in the eastern Nankai Trough. The simulation was performed using well-log data obtained from the exploration and production tests as a primary variable and inversion-derived seismic impedance data as a secondary variable under the good correlations between two variables. The integrated model adequately described the reservoir heterogeneity and effectively interpolated the seismic trend with respect to the well data. To confirm the usability of the seismic data for the accurate representation of the GH saturation distribution, we ran two model simulations: one using well data only and the other using well and seismic data. Each model was validated using the well-log data obtained at the production test site that were not included during the simulation. The model generated using well and seismic data appropriately reproduced the trend of well-log data at the production test site, especially for the low-GH-saturation unit within the reservoir. However, the model generated using well data only was insufficient to predict the trend of the well data. The results demonstrated that the seismic data were effective for the prediction of the GH saturation distribution, and integration of the well and seismic data could improve the accuracy of the reservoir model.


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