TY - GEN
T1 - Adaptive coupling strategy for simultaneous joint inversions that use petrophysical information as constraints
AU - Heincke, Björn
AU - Jegen, Marion
AU - Moorkamp, Max
AU - Chen, Jin
AU - Hobbs, Richard W.
N1 - Publisher Copyright:
© 2010 SEG.
PY - 2010
Y1 - 2010
N2 - Joint inversion strategies for geophysical data have become increasingly popular since they allow to combine complementary information from different data sets in an efficient way. Here, we present a non-linear joint inversion scheme, in which data from different methods are inverted separately and are joined through constrains accounting for parameter relationships. To avoid that the convergence behavior of the inversions is not profoundly disturbed by this coupling, the strengths of the constraints are re-adjusted at each iteration. In contrast to a joint inversion with a fixed parameter relationship, where data is inverted to one common model, this scheme requires no relative weighting of the data sets from different methods. Moreover, we observe that the adaption of the coupling strengths makes the convergence of the inversions much more robust. When we test our scheme with and without adaption on a synthetic 2-D model with seismic tomography, gravity and MT data, the final results with adaption were significantly closer to the true model. Finally, we observe that the adaptive scheme can to some extent handle models with structures for which the assumed parameter relationships are invalid.
AB - Joint inversion strategies for geophysical data have become increasingly popular since they allow to combine complementary information from different data sets in an efficient way. Here, we present a non-linear joint inversion scheme, in which data from different methods are inverted separately and are joined through constrains accounting for parameter relationships. To avoid that the convergence behavior of the inversions is not profoundly disturbed by this coupling, the strengths of the constraints are re-adjusted at each iteration. In contrast to a joint inversion with a fixed parameter relationship, where data is inverted to one common model, this scheme requires no relative weighting of the data sets from different methods. Moreover, we observe that the adaption of the coupling strengths makes the convergence of the inversions much more robust. When we test our scheme with and without adaption on a synthetic 2-D model with seismic tomography, gravity and MT data, the final results with adaption were significantly closer to the true model. Finally, we observe that the adaptive scheme can to some extent handle models with structures for which the assumed parameter relationships are invalid.
UR - http://www.scopus.com/inward/record.url?scp=84974527701&partnerID=8YFLogxK
U2 - 10.1190/1.3513426
DO - 10.1190/1.3513426
M3 - Conference article in proceedings
AN - SCOPUS:84974527701
SN - 9781617389801
T3 - Society of Exploration Geophysicists International Exposition and 80th Annual Meeting 2010, SEG 2010
SP - 2805
EP - 2809
BT - Society of Exploration Geophysicists International Exposition and 80th Annual Meeting 2010, SEG 2010
PB - Society of Exploration Geophysicists
T2 - Society of Exploration Geophysicists International Exposition and 80th Annual Meeting 2010, SEG 2010
Y2 - 17 October 2010 through 22 October 2010
ER -