Pore pressure and oceanic crustal seismic structure
نویسندگان
چکیده
منابع مشابه
Estimating mixing rates from seismic images of oceanic structure
[1] An improved understanding of the spatial distribution of diapycnal mixing in the oceans is the key to elucidating how meridional overturning circulation is closed. The challenge is to develop techniques which can be used to determine the variation of diapycnal mixing as a function of space and time throughout the oceanic volume. One promising approach exploits seismic reflection imaging of ...
متن کاملInversion of seismic refraction and wide-angle reflection traveltimes for three-dimensional layered crustal structure
We present a method for the determination of crustal structure by simultaneous inversion of seismic refraction and wide-angle reflection traveltimes for 3-D interface geometry and layer velocity. Crustal structure is represented by layers in which velocity varies linearly with depth, separated by smooth interfaces with a cubic B-spline parametrization. Lateral variations in structure are theref...
متن کاملThe Yellowstone-snake River Plain Seismic Profiling Experiment: Crustal Structure of the Eastern Snake River Plain
Seismic refraction profiles recorded layer. Crustal subsidence and periodic basaltic along the eastern Snake River Plain (ESRP) in southeastern Idaho during the 1978 YellowstoneSnake River Plain cooperative seismic profiling experiment are interpreted to infer the crustal velocity and attenuation (Q-i) structure of the ESRP. Travel-time and synthetic seismogram modeling of a 250 km reversed ref...
متن کاملThe Crustal Structure
This thesis consists of three papers examining problems related to the crustal structure, isostasy and subsidence history of aseismic ridges and mid-plate island chains. Analysis of gravity and bathymetry data across the Ninetyeast and eastern Walvis Ridges indicates these features are locally compensated by an overthickening of the oceanic crust. Maximum crustal thicknesses are 15-30 km. The w...
متن کاملHow Does Seismic Data Quality Influence Pore Pressure Estimation and Interpretation?
There are two main approaches for pore pressure estimation: geological using basin modeling and geophysical using seismic velocity. In this paper, seismic velocity was used for pore pressure estimation. The impact of the input data quality in terms of signal-to-noise ratio (SNR) and frequency bandwidth on the accuracy of seismic velocity analysis and, ultimately, the reliability of pore pressur...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Geophysical Journal International
سال: 1984
ISSN: 0956-540X,1365-246X
DOI: 10.1111/j.1365-246x.1984.tb02232.x