scholarly journals Economic analysis of undiscovered oil and gas of the central North Slope of Alaska, 2005

Fact Sheet ◽  
2005 ◽  
Author(s):  
Emil D. Attanasi ◽  
Kenneth J. Bird ◽  
Philip A. Freeman
Keyword(s):  
Economic Analysis ◽  
Oil And Gas ◽  
North Slope ◽  
North Slope Of Alaska

scholarly journals Assessment of undiscovered oil and gas resources in the Central North Slope of Alaska, 2020

Fact Sheet ◽  
2020 ◽  
Author(s):  
David W. Houseknecht ◽  
Katherine J. Whidden ◽  
Christopher D. Connors ◽  
Richard O. Lease ◽  
Christopher J. Schenk ◽  
...  
Keyword(s):  
Oil And Gas ◽  
North Slope ◽  
North Slope Of Alaska ◽  
Oil And Gas Resources

Methane emissions from oil and gas production on the North Slope of Alaska

2019 ◽  
Vol 218 ◽  
pp. 116985
Author(s):  
Cody Floerchinger ◽  
Kathryn McKain ◽  
Timothy Bonin ◽  
Jeff Peischl ◽  
Sébastien C. Biraud ◽  
...  
Keyword(s):  
Oil And Gas ◽  
Methane Emissions ◽  
Gas Production ◽  
North Slope ◽  
Oil And Gas Production ◽  
The North ◽  
North Slope Of Alaska

An integrated economic analysis of the oil and gas companies of Russia

2019 ◽  
Vol 18 (5) ◽  
pp. 925-943
Author(s):  
I.V. Filimonova ◽  
◽  
L.V. Eder ◽  
V.Yu. Nemov ◽  
M.V. Mishenin ◽  
...  
Keyword(s):  
Economic Analysis ◽  
Oil And Gas ◽  
Oil And Gas Companies

North Slope of Alaska ARM Facilities Monthly Status Update - October 2019.

2019 ◽  
Author(s):  
Frederick M. Helsel ◽  
Darielle Dexheimer ◽  
Jasper O. E. Hardesty
Keyword(s):  
North Slope ◽  
North Slope Of Alaska

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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