.... Experiments on gravity data show that the proposed inversion method has good robustness and generalization. In addition, the deep-learning-based inversion by using the magnitude magnetic data ( T a ) can greatly eliminate the influence of magnetization direction. Note: This paper was accepted...

... The determination of the total magnetization direction is vital of importance for the inversion and interpretation of magnetic anomalies because the total magnetization direction includes the influence of strong remanent magnetization. The cross-correlation method is commonly used to estimate...

... region, we use the IDQ curve to estimate the direction of the remanent magnetization. The results show that the remanent magnetization direction, extracted from magnetic anomaly, can not only indicate the information of local geological activities, but also be used to classify the lithologies of the sub...

...Improving the accuracy of convolutional neural networks in predicting magnetization directions Felicia Nurindrawati* and Jiajia Sun. Department of Earth and Atmospheric Sciences, University of Houston Summary approach can reliably predict magnetization directions. However, in that work, a user must...

... We present a methodology for estimating the remanent magnetization direction via a new approach of the equivalent layer technique. Our method is grounded on the fact that the total magnetization of a magnetic source is the vectorial sum of its induced and remanent magnetizations. We reformulate...

... ABSTRACT Proper interpretation of magnetic data requires an accurate knowledge of total magnetization directions of the source bodies in an area of study. In this study, we examined the use of machine learning, specifically Convolutional Neural Network (CNN), to automatically predict...

... ABSTRACT We propose a new method for estimating the total magnetization direction of magnetic sources based on the inversion of total-field anomaly via equivalent-layer technique. This technique is commonly used for processing magnetic data by estimating a magnetic-moment distribution over...

... plot inverted magnetization direction search path optimal weighting parameter contour line field data artificial intelligence upstream oil & gas optimization algorithm algorithm data-misfit value optimization problem magnetization direction weighting parameter value geophysics...

... ABSTRACT The determination of the total magnetization direction is necessary for the processing and interpretation of magnetic anomalies, but it is usually unknown under the presence of strong remanent magnetization. Several common-used methods for determining the total magnetization direction...

... ABSTRACT Magnetization inversion provides an effective way of interpreting magnetic data complicated by remanence. The magnetization directions recovered from magnetization inversion contain important information that is useful for geology differentiation. However, assessing the uncertainty...

... magnetization model oldenburg metals & mining reservoir characterization interpretation geophysics magnetic anomaly effective susceptibility model magnetization direction susceptibility model amplitude data Anderson , C. , and K. J. Logan , 1992 , The history and current...

... similar transform correlation methods for estimation of the magnetization direction. It calculates only one transform for many tentative values of the magnetization direction. The method does not use derivatives of any order and the NSS produces a higher level of centricity compared to the total magnitude...

... field data anomaly reference list magnetization body reservoir characterization magnetization direction Clark , D. A. , 2014 , Methods for determining remanent and total magnetizations of magnetic sources – a review : Exploration Geophysics , 45 , 271 – 304 , 10.1071...

... a magnetization inversion algorithm based on fuzzy c-means clustering to investigate the utility of recovered magnetization directions in geology differentiation. We use both synthetic and field data sets to illustrate the algorithm, demonstrate the feasibility, and propose a means to quantify the confidence...

... Summary We present a new approach to total magnetization vector inversion (MVI) by introducing a statistical constraint through fuzzy c-means clustering. The inversion limits the variation of magnetization directions to a small number of possible orientations and thereby achieves stability...

... by the n -th power of the distance between measurement and source points. For magnetic case, it is independent of magnetization direction but proportional to magnitude of the source strength. For both magnetic and gravity fields, the maximum of the NSS occurs exactly above the source point. We also show...

... Summary For a number of widely used models (e.g., dipole, line of dipoles, dike and contact models), normalized source strength (NSS) can be derived from eigenvalues of the magnetic gradient tensor. The NSS is independent of magnetization direction and its amplitude is only affected...

... remanence and self-demagnetization, the total magnetization can have an orientation different from the induced field direction which precludes the use of traditional inversion methods. To overcome this problem, the magnetic amplitude data that are weakly dependent on the magnetization direction was inverted...

... magnetization direction mitigating remanent magnetization effect nss normalized source strength Mitigating remanent magnetization effects in magnetic data using the normalized source strength Mark Pilkington*, Geological Survey of Canada, and Majid Beiki, CSIRO Summary Remanent magnetization effects can...

... elevation relief. We then carry out the amplitude inversion to generate a 3D subsurface distribution of effective susceptibility when strong remanent magnetization is present and the general magnetization direction cannot be estimated. The inversion results of aeromagnetic data in Daye Mine in China show...