New fast least-squares algorithm for estimating the best-fitting parameters due to simple geometric-structures from gravity anomalies

@inproceedings{Essa2014NewFL,
  title={New fast least-squares algorithm for estimating the best-fitting parameters due to simple geometric-structures from gravity anomalies},
  author={Khalid S. Essa},
  booktitle={Journal of advanced research},
  year={2014}
}
A new fast least-squares method is developed to estimate the shape factor (q-parameter) of a buried structure using normalized residual anomalies obtained from gravity data. The problem of shape factor estimation is transformed into a problem of finding a solution of a non-linear equation of the form f(q) = 0 by defining the anomaly value at the origin and at different points on the profile (N-value). Procedures are also formulated to estimate the depth (z-parameter) and the amplitude… CONTINUE READING
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