Three-dimensional regularized focusing inversion of gravity gradient tensor component data

نویسندگان

  • Michael S. Zhdanov
  • Robert Ellis
چکیده

We develop a new method for interpretation of tensor gravity field component data , based on regularized fo­ cusing inversion. The focusing inversion makes its possi­ ble to reconstruct a sharper image oft he geo logical target than conventional maximum smoo thness inversion .Th is new techn ique can be efficiently applied for the interpre­ tat ion of gravity gradiometer da ta, which a re sensitive to local density anomalies. The numerical modelin g and in­ version results show tha t the reso lution of the gravity method can be improved significantly if we use tensor gravi ty data for interpretation. We also applyour method for inversion of the gradien t gravity data collec ted by BHP Billiton over the Cannington Ag-Pb-Zn orebody in Queensland , Austra lia.The comparison with the drilling resul ts dem onstr ates a remarkable corre lation between the density anomaly reco nstructed by the gravity gra ­ dient dat a and the tru e structure of the orebod y. This result indicates that the emerging new geo physical tech­ nolo gy of the airborne gravi ty gradient observations can improve significantly the practical effectiveness of the gravity meth od in mineral explora tio n.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

New Improvement in Interpretation of Gravity Gradient Tensor Data Using Eigenvalues and Invariants: An Application to Blatchford Lake, Northern Canada

Recently, interpretation of causative sources using components of the gravity gradient tensor (GGT) has had a rapid progress. Assuming N as the structural index, components of the gravity vector and gravity gradient tensor have a homogeneity degree of -N and - (N+1), respectively. In this paper, it is shown that the eigenvalues, the first and the second rotational invariants of the GGT (I1 and ...

متن کامل

Center of Mass Estimation of Simple Shaped Magnetic Bodies Using Eigenvectors of Computed Magnetic Gradient Tensor

Computed Magnetic Gradient Tensor (CMGT) includes the first derivatives of three components of magnetic field of a body. At the eigenvector analysis of Gravity Gradient Tensors (GGT) for a line of poles and point pole, the eigenvectors of the largest eigenvalues (first eigenvectors) point precisely toward the Center of Mass (COM) of a body. However, due to the nature of the magnetic field, it i...

متن کامل

Inversion of regional gravity gradient data over the Vredefort Impact Structure, South Africa

We present the results for 3D inversion of gravity gradiometry data over the Vredefort Impact Structure in South Africa. With the rapidly growing field of gravity gradiometry, an investigation into the extraction of information from multiple components is warranted. Though the gradient tensor has five independent components, any combination of the components can be used to invert for a structur...

متن کامل

Three-dimensional Magnetotelluric Modeling of data from Northeast of Gorgan Plain

Magnetotelluric measurements have been conducted in the period range of 0.005-128 s along five parallel east-west directed profiles including 85 sites totally in the north-eastern part of Gorgan Plain, Golestan Province, North of Iran; with the aim of exploring iodine. Distortion and dimensionality analysis of data imply the existence of a north-south elongated two-dimensional model with some l...

متن کامل

Magnetic-Gravity Gradient Inversion for Underwater Object Detection

A new underwater object detection method based on joint GravityGradient and Magnetic-Gradient Inversion algorithms is proposed in this paper. Magnetic gradient and gravity gradient anomalies induced by an underwater object can be measured and inversed to estimate the relative changes in distance between underwater object and underwater vehicle. The weight least squares estimation is introduced ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2008