scholarly journals 3D Inversion of Large-scale Time Domain Electromagnetic Data

2013 ◽  
Vol 2013 (1) ◽  
pp. 1-4
Author(s):  
Christoph Schwarzbach ◽  
Elliot Holtham ◽  
Eldad Haber
Geophysics ◽  
2013 ◽  
Vol 78 (1) ◽  
pp. E47-E57 ◽  
Author(s):  
Douglas W. Oldenburg ◽  
Eldad Haber ◽  
Roman Shekhtman

We present a 3D inversion methodology for multisource time-domain electromagnetic data. The forward model consists of Maxwell’s equations in time where the permeability is fixed but electrical conductivity can be highly discontinuous. The goal of the inversion is to recover the conductivity-given measurements of the electric and/or magnetic fields. The availability of matrix-factorization software and high-performance computing has allowed us to solve the 3D time domain EM problem using direct solvers. This is particularly advantageous when data from many transmitters and over many decades are available. We first formulate Maxwell’s equations in terms of the magnetic field, [Formula: see text]. The problem is then discretized using a finite volume technique in space and backward Euler in time. The forward operator is symmetric positive definite and a Cholesky decomposition can be performed with the work distributed over an array of processors. The forward modeling is quickly carried out using the factored operator. Time savings are considerable and they make 3D inversion of large ground or airborne data sets feasible. This is illustrated by using synthetic examples and by inverting a multisource UTEM field data set acquired at San Nicolás, which is a massive sulfide deposit in Mexico.


Geophysics ◽  
2012 ◽  
Vol 77 (2) ◽  
pp. B23-B34 ◽  
Author(s):  
Dikun Yang ◽  
Douglas W. Oldenburg

We inverted airborne time-domain electromagnetic (ATEM) data over a porphyry deposit in central British Columbia, Canada and recovered the 3D electrical conductivity structure. Full 3D inversion was required because of the circular geometry of the deposit. Typical analysis, which assumes a homogeneous or layered earth, produces conductive artifacts that are contrary to geologic expectations. A synthetic example showed that those misleading artifacts arise by assuming a 1D layered earth and that a 3D inversion can successfully solve the problem. Because of the computational challenges of solving the 3D inversion with many transmitters of airborne survey, we introduced a work flow that uses a multimesh strategy to handle the field data. In our inversion, a coarse mesh and a small number of soundings are first used to rapidly reconstruct a large-scale distribution of conductivity. The mesh is then refined and more soundings are incorporated to better resolve small-scale features. This strategy significantly speeds up the 3D inversion. The progressive refinement of the mesh also helps find the resolution limit of the data and an appropriate mesh for inversion, thus overcomputing on an unnecessarily fine mesh can be avoided. The final conductivity structure has features that emulate the expected geologic structure for a porphyry system and this substantiates the need and capability for working in 3D. However, the necessity for using 3D can depend upon the EM system used. A previous 1D interpretation of frequency-domain EM data at Mt. Milligan indicated a resistive stock. We reconciled this result with the present by computing the footprints of the frequency and time-domain surveys. The distribution of currents for the frequency-domain system was smaller than the length scale of the geologic target while the opposite was true for the time-domain data.


Sign in / Sign up

Export Citation Format

Share Document