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Wednesday, April 13, 2016

Processing of multichannel seismic reflection data acquired in 2013 for seismic investigations of gas hydrates in the Gulf of Mexico

USGS Publication: Open-File Report 2016-1037
As part of a cooperative effort among the U.S. Geological Survey (USGS), the U.S. Department of Energy, and the U.S. Department of the Interior Bureau of Ocean Energy Management, two grids of two-dimensional multichannel seismic reflection data were acquired in the Gulf of Mexico over lease blocks Green Canyon 955 and Walker Ridge 313 between April 18 and May 3, 2013.


Tuesday, August 04, 2015

Preliminary interpretation of industry two-dimensional seismic data from Susitna Basin, south-central Alaska

USGS Publication: Open-File Report 2015-1138
Located approximately 80 kilometers northwest of Anchorage, Alaska, the Susitna Basin is a complex sedimentary basin whose tectonic history has been poorly understood. Recent interpretation of two-dimensional seismic reflection data integrated with well, aeromagnetic, and gravity data provides new insights into the structural and stratigraphic nature of the basin.


Thursday, November 14, 2013

New seismic data acquired over known gas hydrate occurrences in the deepwater Gulf of Mexico

Outside Publication: Department of Energy-National Energy Technology Laboratory  
The U.S. Geological Survey (USGS) led seismic acquisition in the Gulf of Mexico from April 18 to May 3, 2013, collecting ocean-bottomseismometer (OBS) and high-resolution 2D data at lease blocks Green Canyon 955 (GC955) and Walker Ridge 313 (WR313). This collaborative effort among the U.S Department of Energy (DOE), the U.S. Bureau of Ocean Energy Management (BOEM) and the USGS was conducted to provide improved imaging and characterization of the known gas hydrate accumulations at these study sites.


Friday, August 30, 2013

Comparison of Methods for Predicting Shear-Wave Velocities of Unconsolidated Shallow Sediments in the Gulf of Mexico

USGS Publication: Scientific Investigations Report 2013-5141
Accurate shear-wave velocities for shallow sediments are important for a variety of seismic applications such as inver-sion and amplitude versus offset analysis. During the U.S. Department of Energy-sponsored Gas Hydrate Joint Industry Project Leg II, shear-wave velocities were measured at six wells in the Gulf of Mexico using the logging-while-drilling SonicScope acoustic tool...

Friday, January 28, 2011

Connectivity Equation and Shaly-Sand Correction for Electrical Resistivity

USGS Publication: Scientific Investigations Report 2011–5005
In this study, the connectivity equation (CE), which is a new approach to model non-Archie rocks, is used to correct for the clay effect and is compared with results using the Waxman and Smits method. The CE presented here requires no parameters other than an adjustable constant, which can be derived from the resistivity of water-saturated sediments.


Tuesday, July 20, 2010

Predicting S-Wave Velocities for Unconsolidated Sediments at Low Effective Pressure

USGS Publication: Scientific Investigations Report 2010–5138
Accurate S-wave velocities for shallow sediments are important in performing a reliable elastic inversion for gas hydrate-bearing sediments and in evaluating velocity models for predicting S-wave velocities, but few S-wave velocities are measured at low effective pressure. Predicting S-wave velocities by using conventional methods based on the Biot-Gassmann theory appears to be inaccurate for laboratory-measured velocities at effective pressures less than about 4–5 megapascals (MPa).


Wednesday, March 17, 2010

S-Wave Normal Mode Propagation in Aluminum Cylinders

USGS Publication: Scientific Investigations Report 2010–5013
Large amplitude waveform features have been identified in pulse-transmission shear-wave measurements through cylinders that are long relative to the acoustic wavelength. The arrival times and amplitudes of these features do not follow the predicted behavior of well-known bar waves, but instead they appear to propagate with group velocities that increase as the waveform feature’s dominant frequency increases. 


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