Interpretation of total wave field data over Lost Hills field, Kern County, California

1988 ◽  
Author(s):  
Stewart G. Squires ◽  
Christopher D. Y. Kim ◽  
Daniel Y. Kim
Keyword(s):  
Wave Field ◽  
Field Data ◽  
Kern County ◽  
Total Wave

Interpretation of total wave‐field data over Lost Hills field, Kern County, California

Geophysics ◽  
1989 ◽  
Vol 54 (11) ◽  
pp. 1420-1429 ◽  
Author(s):  
S. G. Squires ◽  
C. D. Y. Kim ◽  
D. Y. Kim
Keyword(s):  
Wave Field ◽  
Shear Wave ◽  
Delay Time ◽  
Field Data ◽  
P Wave ◽  
Kern County ◽  
Fracture Orientation ◽  
Total Wave ◽  
Fracture Intensity ◽  
Vsp Data

Approximately 5 miles (8 km) of total wave‐field data were acquired by Production Geophysical Services (then Kim Tech., Inc.), using the OMNIPULSE® Multi‐mode Shear‐wave Generator source over the southern end of Lost Hills field, Kern County, California. The quality of the shear‐wave sections was excellent. They represent a significant improvement over conventional P‐wave sections from the area in that they provide better reflection continuity and imaging of the Lost Hills anticline. A multicomponent VSP, which was acquired close to the line, provided crucial P‐wave to S‐wave correlation, as well as fracture information. [Formula: see text] ratios computed from interval times ranged from 2.79 to 1.63. An anomalously low [Formula: see text] ratio of 1.65 in the zone of interest (Lower Reef Ridge to McDonald shale), confirmed by multicomponent VSP data, corresponds to the producing interval. Evidence of shear‐wave splitting due to azimuthal anisotropy was observed, so the SV‐wave and SH‐wave data sets were rotated into principal‐component axes of N45E for S1 and N45W for S2. The predominant fracture orientation changes from N45E at depth to N45W near the surface. This change in fracture orientation with depth was confirmed by multicomponent VSP data. Delay‐time ratios (used as a measure of fracture intensity) ranged from a maximum of 11.71 percent to a minimum of −5.48 percent across the structure. These ratios are interpreted to show changes in fracture intensity and orientation across the structure. Delay‐time ratios in the zone of interest were anomalously high (1.55–6.53 percent). Comparison of fracture intensity on the flanks of the structure with that on the crest indicates that the flanks have undergone greater deformation than the crest. The total wave‐field data set and associated analyses have provided significant structural and stratigraphic information on the Miocene Monterey formation over the Lost Hills field, highlighting the productive interval.

scholarly journals Finite-difference modelling to evaluate seismic P-wave and shear-wave field data

Solid Earth ◽  
2015 ◽  
Vol 6 (1) ◽  
pp. 33-47 ◽  
Author(s):  
T. Burschil ◽  
T. Beilecke ◽  
C. M. Krawczyk
Keyword(s):  
Wave Field ◽  
Shear Wave ◽  
Field Data ◽  
P Wave ◽  
Sh Wave ◽  
Surface Shear ◽  
Near Surface ◽  
Reflection Seismic ◽  
Surface Shear Wave ◽  
Seismic Measurements

Abstract. High-resolution reflection seismic methods are an established non-destructive tool for engineering tasks. In the near surface, shear-wave reflection seismic measurements usually offer a higher spatial resolution in the same effective signal frequency spectrum than P-wave data, but data quality varies more strongly. To discuss the causes of these differences, we investigated a P-wave and a SH-wave seismic reflection profile measured at the same location on the island of Föhr, Germany and applied seismic reflection processing to the field data as well as finite-difference modelling of the seismic wave field. The simulations calculated were adapted to the acquisition field geometry, comprising 2 m receiver distance (1 m for SH wave) and 4 m shot distance along the 1.5 km long P-wave and 800 m long SH-wave profiles. A Ricker wavelet and the use of absorbing frames were first-order model parameters. The petrophysical parameters to populate the structural models down to 400 m depth were taken from borehole data, VSP (vertical seismic profile) measurements and cross-plot relations. The simulation of the P-wave wave-field was based on interpretation of the P-wave depth section that included a priori information from boreholes and airborne electromagnetics. Velocities for 14 layers in the model were derived from the analysis of five nearby VSPs (vP =1600–2300 m s-1). Synthetic shot data were compared with the field data and seismic sections were created. Major features like direct wave and reflections are imaged. We reproduce the mayor reflectors in the depth section of the field data, e.g. a prominent till layer and several deep reflectors. The SH-wave model was adapted accordingly but only led to minor correlation with the field data and produced a higher signal-to-noise ratio. Therefore, we suggest to consider for future simulations additional features like intrinsic damping, thin layering, or a near-surface weathering layer. These may lead to a better understanding of key parameters determining the data quality of near-surface shear-wave seismic measurements.

An experimental study of the surface elevation probability distribution and statistics of wind-generated waves

1980 ◽  
Vol 101 (1) ◽  
pp. 179-200 ◽  
Author(s):  
Norden E. Huang ◽  
Steven R. Long
Keyword(s):  
Experimental Study ◽  
Probability Density Function ◽  
Probability Distribution ◽  
Wave Field ◽  
Field Data ◽  
Laboratory Experiments ◽  
Laboratory Data ◽  
Surface Elevation ◽  
Strong Wind ◽  
Non Gaussian

Laboratory experiments were conducted to measure the surface elevation probability density function and associated statistical properties for a wind-generated wave field. The laboratory data together with some limited field data were compared. It is found that the skewness of the surface elevation distribution is proportional to the significant slope of the wave field, §, and all the laboratory and field data are best fitted by \[ K_3 = 8\pi\S, \] with § defined as ($(\overline{\zeta^2})^{\frac{1}{2}}/\lambda_0 $, where ζ is the surface elevation, and λ0 is the wavelength of the energy-containing waves. The value of K3 under strong wind could reach unity. Even under these highly non-Gaussian conditions, the distribution can be approximated by a four-term Gram-Charlier expansion. The approximation does not converge uniformly, however. More terms will make the approximation worse.

scholarly journals Geological and oceanographic data determining the foreshore zone according to the Greek legislation

2006 ◽  
Vol 7 (1) ◽  
pp. 15
Author(s):  
K.G. PEHLIVANOGLOU ◽  
M. RAPPOU ◽  
M. MARTSOUKOU
Keyword(s):  
Wave Field ◽  
Coastal Area ◽  
Field Data ◽  
Case Law ◽  
Standard Case ◽  
Official Gazette ◽  
Shallow Area ◽  
Oceanographic Data ◽  
Run Up

The available scientific field data of the marine and the coastal enviroment, (wind and wave field data, shallow area bathymetry, coastal area geomorphology and topography, etc.), in addition to deep and shallow wave prediction numerical modelling (by means of wind and bathymetry measurements), calculation of the nearshore wave height and maximum wave run up, were used to support the mapping of the innermost limit of the foreshore zone according to Greek legislation which defi nes that ‘the foreshore is the zone of land wetted by the highest however unexceptional sea wave run up’ and the Supreme Administrative Court standard case law. These methods were applied for two areas, which completely differ as regards the wind and the wave field, the geomorphological and topographical characteristics of the coastal area, suggesting different procedures for the determination of the innermost limit of the foreshore zone. The limits of the foreshore zones for both areas, resulting from the study, are compared to the limits set out by the authorised Administrative Commissions, which were published in the Official Gazette and also were applied by the local authorities for the management of the coastal area.

scholarly journals The foreshore zone determination according to the Greek legislation, using geologic and océanographie data

2007 ◽  
Vol 40 (4) ◽  
pp. 1609
Author(s):  
K. G. Pehlivanoglou ◽  
M. Martsoukou
Keyword(s):  
Wave Field ◽  
Coastal Area ◽  
Field Data ◽  
Standard Case ◽  
Official Gazette ◽  
Near Shore ◽  
Coastal Area Management ◽  
Shallow Area ◽  
Run Up

The available scientific field data of the marine and the coastal enviroment, (the wind and the wave field data, the shallow area bathymetry, the coastal area geomorphology and topography, etc.), joint to deep and shallow wave prediction numerical modelling (by means of the wind and bathymetry measurements), calculation of the near shore wave height and maximum wave run up, were used to support the mapping of the innermost limit of the foreshore zone, according to the Greek legislation which defines that "the foreshore is the zone of land wetted by the highest however unexceptional sea wave run up " and the Supreme Administrative Court standard case law. These methods applied for two areas, which completely differ for the wind and the wave field, the géomorphologie and topographic characteristics of the coastal area, proposing different procedures for the determination of the innermost limit of the foreshore zone. The proposed limits of the foreshore zones for both areas, resulted from the study, are compared to the limits proposed by the authorised Administrative Commissions, which were published in the Official Gazette and also were applied by the local authorities for the coastal area management

Utilizing full wave field data and multi-measurements for PP and PS model building – A case study from the North Sea

2020 ◽  
Author(s):  
Suyang Chen ◽  
Yury Bekhtin ◽  
Olga Thompson ◽  
Hugo Sese ◽  
Emin Sadikhov ◽  
...  
Keyword(s):  
Wave Field ◽  
North Sea ◽  
Field Data ◽  
Model Building ◽  
The North ◽  
Full Wave ◽  
The North Sea
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