Parameters estimation from the gravity anomaly caused by the two-dimensional horizontal thin sheet applying the global particle swarm algorithm

摘要: Abstract A global particle swarm algorithm utilized to assess the inverted two-dimensional horizontal thin sheet parameters from gravity anomaly profile based on applying second moving average method. The using of method has more advantageous than Bouguer because this a capability in eliminating regional field up third-order impeded anomaly. This is applied interpret profile, i.e., estimating depth, width, thickness, density contrast and origin location buried structure. efficacy stability are investigated exposed for utilizing free-noise noisy synthetic examples. Real data associated with oil gas mineral exploration three different locations around world interpreted. evaluated time discovering appropriate clarification very short estimated view that proposed applicable real exploration. It can extract inverse which have geologic economic significance.