Processing-optimised imaging of analog geological models by electrical capacitance tomography

C. Ortiz Alemán, A. Espíndola-Carmona, J. J. Hernández-Gómez, M. G. Orozco Del Castillo

Research output: Contribution to journalArticlepeer-review

Abstract

In this work, the electrical capacitance tomography (ECT) technique is applied in monitoring internal deformation of geological analog models, which are used to study structural deformation mechanisms, in particular for simulating migration and emplacement of allochtonous salt bodies. A rectangular ECT sensor was used for internal visualization of analog geologic deformation. The monitoring of analog models consists in the reconstruction of permittivity images from the capacitance measurements obtained by introducing the model inside the ECT sensor. A simulated annealing (SA) algorithm is used as a reconstruction method, and is optimized by taking full advantage of some special features in a linearized version of this inverse approach. As a second part of this work our SA image reconstruction algorithm is applied to synthetic models, where its performance is evaluated in comparison to other commonly used algorithms such as linear back-projection and iterative Landweber methods. Finally, the SA method is applied to visualise two simple geological analog models. Encouraging results were obtained in terms of the quality of the reconstructed images, as interfaces corresponding to main geological units in the analog model were clearly distinguishable in them. We found reliable results quite useful for real time non-invasive monitoring of internal deformation of analog geological models.

Original languageEnglish
Article number065401
JournalMeasurement Science and Technology
Volume28
Issue number6
DOIs
StatePublished - 11 May 2017

Keywords

  • ECT
  • analog geological models
  • congugate gradient
  • electrical capacitance tomography
  • imaging
  • simulated annealing
  • tomography

Fingerprint

Dive into the research topics of 'Processing-optimised imaging of analog geological models by electrical capacitance tomography'. Together they form a unique fingerprint.

Cite this