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

摘要: 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 estimation transformed into finding solution non-linear equation form f(q) = 0 by defining anomaly value at origin and different points on profile (N-value). Procedures are also formulated depth (z-parameter) amplitude coefficient (A-parameter) structure. simple rapid for estimating parameters that produced anomalies. This technique used class geometrically anomalous bodies, including semi-infinite vertical cylinder, infinitely long horizontal sphere. tested verified theoretical models with without random errors. It successfully applied real data sets Senegal India, inverted-parameters in good agreement known actual values.