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An Application of Minimum Support Stabilizer as a Model Constraint in Magnetotelluric 2D Inversion

최소모델영역 연산자를 모델제한조건으로 적용한 2차원 MT 역산

  • Lee, Seong-Kon (Geothermal Research Division, Korea Institute of Geoscience and Mineral Resources)
  • 이성곤 (한국지질자원연구원 국토지질연구본부 지열연구실)
  • Published : 2009.12.31

Abstract

Two-dimensional magnetotelluric (MT) inversion algorithm using minimum support (MS) stabilizer functional was implemented in this study to enhance the contrast of inverted images. For this implementation, this study derived a formula in discrete form for creeping model updates in the least-squares linearized inversion. A spatially varying regularization parameter determination algorithm, which is known as ACB (Active Constraint Balancing), was also adopted to stabilize the inversion process when using MS stabilizer as a model constraint. Inversion experiments for a simple isolated body model show well the feature of MS stabilizer in concentrating the anomalous body compared with the second-order derivative model constraint. This study also compared MS stabilizer and the second-order derivative model constraints for a model having multiple anomalous bodies to show the applicability of the algorithm into field data.

본 연구에서는 최소모델영역 연산자를 MT(magnetotelluric) 2차원 역산 알고리듬에 적용하여 역산 해의 대비를 향상시키고자 하였다. 이를 위하여 creeping법에 기초한 최소자승 역산에 최소모델영역 연산자를 수치적으로 유도하여 알고리듬을 구현하였으며, 공간함수로서의 평활화 상수를 도입한 ACB (Active Constraint Balancing) 법을 동시에 적용하여 최소모델영역 연산자를 이용할 때 단점으로 지적되었던 역산 해의 안정성을 향상시켰다. 고립된 단일 이상체 모델에 대한 수치실험을 통하여 MT 역산에 있어서 최소영역 연산자의 효과를 기존의 2차 미분연산자와 비교 분석하여 MT 역산에서의 특징을 고찰하였다. 또한 다중 이상체 모델에 대한 실험을 통하여 Occam 역산과 비교하여 최소모델영역 연산자를 이용한 역산 해의 특징을 비교 분석하였으며 현장 자료에의 적용을 통하여 그 적용성을 살펴보았다.

Keywords

References

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