Full Field Reservoir Geological Model Integrating High Resolution Sequence Stratigraphy: Nahr Umr Sandstone, Block 5, Offshore Qatar

2011 ◽  
Author(s):  
Niels Korsholm Klem ◽  
Frans S.P. Buchem ◽  
Esbern Hoch
Keyword(s):  
High Resolution ◽  
Sequence Stratigraphy ◽  
Geological Model ◽  
Full Field ◽  
High Resolution Sequence Stratigraphy

Use of High Resolution Sequence Stratigraphy in Building 3D Reservoir Geological Model - A Case Study from Kuwait

2013 ◽  
Author(s):  
Nilotpaul Neog ◽  
Subrata Kumar Chakraborty ◽  
N.S. Rao ◽  
Christian Perrin ◽  
C. Pattnaik ◽  
...  
Keyword(s):  
High Resolution ◽  
Sequence Stratigraphy ◽  
Geological Model ◽  
High Resolution Sequence Stratigraphy

The Meaning of Wavelet Transform in High Resolution Sequence Stratigraphy Study

2013 ◽  
Vol 411-414 ◽  
pp. 3035-3038
Author(s):  
Zhan Dong Li ◽  
Meng Li ◽  
Yan Liu
Keyword(s):  
Wavelet Transform ◽  
High Resolution ◽  
Sequence Stratigraphy ◽  
Wavelet Coefficient ◽  
Scale Factor ◽  
Sequence Stratigraphic ◽  
Natural Gamma ◽  
Set Up ◽  
Morlet Wavelet Transform ◽  
High Resolution Sequence Stratigraphy

Taking the division of Gao3 reservoir group strata sequence in Songliao basin of Daqing Changyuan Xingbei for example, this paper analyzed the applicability of the one-dimensional continuous wavelet transform in high resolution sequence division. By means of making morlet wavelet transform on the natural gamma logging curve, the connection between well curve signal and depth is transformed to the alter relationship between depth and the domains of scale, which obtains the wavelet coefficient curve. Then set up the corresponding relations between periodic oscillations characteristics of wavelet coefficient curve and sequence interface at all levels under the optimal scale factor. And the wavelet coefficients curve in best scale factor will eventually be used for the identification and division of the sequence. Practice has proved that the wavelet coefficient curve in the best factor can accurately identify the sequence interface at all levels, and the result is more accurate, objective and effective than manual calibration. So take advantage of wavelet transform in sequence stratigraphic classification provides a new way for high resolution sequence stratigraphy studies.

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