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Gradient-boosted equivalent sources.
- Source :
- Geophysical Journal International; Dec2021, Vol. 227 Issue 3, p1768-1783, 16p
- Publication Year :
- 2021
-
Abstract
- The equivalent source technique is a powerful and widely used method for processing gravity and magnetic data. Nevertheless, its major drawback is the large computational cost in terms of processing time and computer memory. We present two techniques for reducing the computational cost of equivalent source processing: block-averaging source locations and the gradient-boosted equivalent source algorithm. Through block-averaging, we reduce the number of source coefficients that must be estimated while retaining the minimum desired resolution in the final processed data. With the gradient-boosting method, we estimate the sources coefficients in small batches along overlapping windows, allowing us to reduce the computer memory requirements arbitrarily to conform to the constraints of the available hardware. We show that the combination of block-averaging and gradient-boosted equivalent sources is capable of producing accurate interpolations through tests against synthetic data. Moreover, we demonstrate the feasibility of our method by gridding a gravity data set covering Australia with over 1.7 million observations using a modest personal computer. [ABSTRACT FROM AUTHOR]
- Subjects :
- ALGORITHMS
GRAVITY anomalies
MAGNETIC anomalies
GRAVITY
INTERPOLATION
Subjects
Details
- Language :
- English
- ISSN :
- 0956540X
- Volume :
- 227
- Issue :
- 3
- Database :
- Complementary Index
- Journal :
- Geophysical Journal International
- Publication Type :
- Academic Journal
- Accession number :
- 153574262
- Full Text :
- https://doi.org/10.1093/gji/ggab297