Massively parallel 3D inversion of gravity and gravity gradiometry data
نویسندگان
چکیده
منابع مشابه
Massively parallel 3D inversion of gravity and gravity gradiometry data
Reliance on desktop computers limits the scale of 3D inversion of gravity and gravity gradiometry surveys, making it impractical to achieve an appropriate level of resolution and detail for geological interpretation. To begin with, airborne surveys are characterised by very large data volumes. They typically contain hundreds to thousands of line kilometres of data with measurement locations eve...
متن کامل3D gravity data-space inversion with sparseness and bound constraints
One of the most remarkable basis of the gravity data inversion is the recognition of sharp boundaries between an ore body and its host rocks during the interpretation step. Therefore, in this work, it is attempted to develop an inversion approach to determine a 3D density distribution that produces a given gravity anomaly. The subsurface model consists of a 3D rectangular prisms of known sizes ...
متن کاملAutomatic estimation of regularization parameter by active constraint balancing method for 3D inversion of gravity data
Gravity data inversion is one of the important steps in the interpretation of practical gravity data. The inversion result can be obtained by minimization of the Tikhonov objective function. The determination of an optimal regularization parameter is highly important in the gravity data inversion. In this work, an attempt was made to use the active constrain balancing (ACB) method to select the...
متن کامل3d gravity data-space inversion with sparseness and bound constraints
one of the most remarkable basis of the gravity data inversion is the recognition of sharp boundaries between an ore body and its host rocks during the interpretation step. therefore, in this work, it is attempted to develop an inversion approach to determine a 3d density distribution that produces a given gravity anomaly. the subsurface model consists of a 3d rectangular prisms of known sizes ...
متن کاملEfficient automatic denoising of gravity gradiometry data
Gravity gradiometry data are prized for the high frequency information they provide. However, as any other geophysical data, gravity gradient measurements are contaminated by high-frequency noise. Separation of the high-frequency signal from noise is a crucial component of data processing. The separation can be performed in the frequency domain, which usually requires tuning filter parameters a...
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: Preview
سال: 2011
ISSN: 1443-2471,1836-084X
DOI: 10.1071/pvv2011n152p29