Separation Of Gravity And Magnetic Anomalies In Underground Parallel Pipelines

As the city continues to develop,underground pipelines are becoming more and more dense and complex,just like the nerves and blood vessels in the human body.These pipelines are an important part of the city and can transport materials for the city to protect the city’s life.Therefore,the detection of underground pipelines plays an important role in urban construction.Magnetic anomalies are a common analytical method for studying geological bodies.The detection of a single underground iron pipeline is relatively straightforward,but often there are interlaced conditions in the underground iron pipelines.When detecting two underground iron pipelines with the same direction and different horizontal positions,the magnetic anomalies will be superimposed.It is practical to find a method to separate the two components of the gravity and magnetic anomalies.Aiming at the problem of parallel pipeline anomaly superposition,the magnetic anomaly model of the underground pipeline is established.The Fourier transform theory is used to perform the bit field conversion to convert the magnetic anomaly to the frequency domain.The total magnetic anomaly is processed by the vertical frequency conversion of the frequency domain.The field conversion process performs boundary processing to achieve separation of magnetic anomalies.In the case of certain noise,the Tikhonov regularization iteration method and the traditional direct fast fourier transformation filtering method are used to obtain the vertical high-order derivative and observe the separation effect.The simulation experiments are carried out by Matlab,and the algorithm is verified.The boundary processing can eliminate the boundary effect and analyze the effect of the vertical high-order derivative separation superposition anomaly in the frequency domain.It is proved that the Tikhonov regularization iterative method is used to find the vertical The superiority to higher order derivatives.