@article{fdi:010069965,
  title = {3{D} gravity inversion and uncertainty assessment of basement relief via {P}article {S}warm {O}ptimization},
  author = {{P}allero, {J}. {L}. {G}. and {F}ernandez-{M}artinez, {J}. {L}. and {B}onvalot, {S}ylvain and {F}udym, {O}.},
  editor = {},
  language = {{ENG}},
  abstract = {{N}onlinear gravity inversion in sedimentary basins is a classical problem in applied geophysics. {A}lthough a 2{D} approximation is widely used, 3{D} models have been also proposed to better take into account the basin geometry. {A} common nonlinear approach to this 3{D} problem consists in modeling the basin as a set of right rectangular prisms with prescribed density contrast, whose depths are the unknowns. {T}hen, the problem is iteratively solved via local optimization techniques from an initial model computed using some simplifications or being estimated using prior geophysical models. {N}evertheless, this kind of approach is highly dependent on the prior information that is used, and lacks from a correct solution appraisal (nonlinear uncertainty analysis). {I}n this paper, we use the family of global {P}article {S}warm {O}ptimization ({PSO}) optimizers for the 3{D} gravity inversion and model appraisal of the solution that is adopted for basement relief estimation in sedimentary basins. {S}ynthetic and real cases are illustrated, showing that robust results are obtained. {T}herefore, {PSO} seems to be a very good alternative for 3{D} gravity inversion and uncertainty assessment of basement relief when used in a sampling while optimizing approach. {T}hat way important geological questions can be answered probabilistically in order to perform risk assessment in the decisions that are made.},
  keywords = {{N}onlinear gravity inversion ; {P}article {S}warm {O}ptimization ; {U}ncertainty ; assessment ; {S}edimentary basin ; {P}yrenees-{A}rgeles-{G}azost},
  booktitle = {},
  journal = {{J}ournal of {A}pplied {G}eophysics},
  volume = {139},
  numero = {},
  pages = {338--350},
  ISSN = {0926-9851},
  year = {2017},
  DOI = {10.1016/j.jappgeo.2017.02.004},
  URL = {https://www.documentation.ird.fr/hor/fdi:010069965},
}