An Integrated Approach for Reservoir Description Using Seismic, Borehole, and Geologic Data

1989 ◽  
Author(s):  
R.D. Martinez ◽  
B.E. Cornish ◽  
R.H. Seymour
2020 ◽  
Vol 39 (3) ◽  
pp. 164-169
Author(s):  
Yuan Zee Ma ◽  
David Phillips ◽  
Ernest Gomez

Reservoir characterization and modeling have become increasingly important for optimizing field development. Optimal valuation and exploitation of a field requires a realistic description of the reservoir, which, in turn, requires integrated reservoir characterization and modeling. An integrated approach for reservoir modeling bridges the traditional disciplinary divides and tears down interdisciplinary barriers, leading to better handling of uncertainties and improvement of the reservoir model for field development. This article presents the integration of seismic data using neural networks and the incorporation of a depositional model and seismic data in constructing reservoir models of petrophysical properties. Some challenging issues, including low correlation due to Simpson's paradox and under- or overfitting of neural networks, are mitigated in geostatistical analysis and modeling of reservoir properties by integrating geologic information. This article emphasizes the integration of well logs, seismic prediction, and geologic data in the 3D reservoir-modeling workflow.


2007 ◽  
Author(s):  
Terrence Robert Wiseman ◽  
Paulo Roberto Ballin ◽  
Mark C. Lederer ◽  
Roger N. Wagerle ◽  
Neal F. McCaslin

2007 ◽  
Author(s):  
Terrence Robert Wiseman ◽  
Paulo Roberto Ballin ◽  
Mark C. Lederer ◽  
Roger N. Wagerle ◽  
Neal F. McCaslin

2007 ◽  
Vol 6 (1) ◽  
pp. 185-186
Author(s):  
E COSENTINO ◽  
E RINALDI ◽  
D DEGLIESPOSTI ◽  
S BACCHELLI ◽  
D DESANCTIS ◽  
...  

2004 ◽  
Vol 49 (3) ◽  
pp. 337-338
Author(s):  
Robert T. Ammerman
Keyword(s):  

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