Oil Types and Source Rock-Oil Correlation on the North Slope, Alaska—A Cooperative USGS-Industry Study

1985 ◽  
pp. 203-231 ◽  
Keyword(s):  
Source Rock ◽  
North Slope ◽  
The North ◽  
Industry Study

scholarly journals Distribution, richness, quality, and thermal maturity of source rock units on the North Slope of Alaska

2003 ◽  
Author(s):  
K.E. Peters ◽  
K.J. Bird ◽  
M.A. Keller ◽  
P.G. Lillis ◽  
L.B. Magoon
Keyword(s):  
Source Rock ◽  
North Slope ◽  
Thermal Maturity ◽  
The North ◽  
North Slope Of Alaska

Geologic framework of the "North Slope" petroleum province

1969 ◽  
Author(s):  
George Gryc ◽  
Irvin L. Tailleur ◽  
William Peters Brosge
Keyword(s):  
North Slope ◽  
The North

Dispersive noise removal in t-x space: Application to Arctic data

Geophysics ◽  
1988 ◽  
Vol 53 (3) ◽  
pp. 346-358 ◽  
Author(s):  
Greg Beresford‐Smith ◽  
Rolf N. Rango
Keyword(s):  
Signal To Noise Ratio ◽  
Noise Analysis ◽  
Noise Removal ◽  
North Slope ◽  
Frequency Bandwidth ◽  
The North ◽  
North Slope Of Alaska ◽  
Seismic Records ◽  
Time Offset ◽  
Undersampled Data

Strongly dispersive noise from surface waves can be attenuated on seismic records by Flexfil, a new prestack process which uses wavelet spreading rather than velocity as the criterion for noise discrimination. The process comprises three steps: trace‐by‐trace compression to collapse the noise to a narrow fan in time‐offset (t-x) space; muting of the noise in this narrow fan; and inverse compression to recompress the reflection signals. The process will work on spatially undersampled data. The compression is accomplished by a frequency‐domain, linear operator which is independent of trace offset. This operator is the basis of a robust method of dispersion estimation. A flexural ice wave occurs on data recorded on floating ice in the near offshore of the North Slope of Alaska. It is both highly dispersed and of broad frequency bandwidth. Application of Flexfil to these data can increase the signal‐to‐noise ratio up to 20 dB. A noise analysis obtained from a microspread record is ideal to use for dispersion estimation. Production seismic records can also be used for dispersion estimation, with less accurate results. The method applied to field data examples from Alaska demonstrates significant improvement in data quality, especially in the shallow section.

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