Andrea E. Balza Morales

Results-driven geoscientist with extensive knowledge in geophysical data analysis, survey planning, data processing and geophysical inversion. Communicative, personable, and team player. Interested in gaining experience in developing and applying new technologies that explore and monitor Earth’s natural resources. Fluent in several coding languages. 

  • MSc Geophysics, Colorado School of Mines – Golden, Colorado, USA (Aug 2016- May 2017)
  • BSc Geophysical Engineering, Universidad Simón Bolívar – Caracas, Venezuela (May 2012)

Project Title: Geometry-based joint geological-geophysical inversion
Host Institutions: RWTH Aachen, ETH Zürich, Geophysica, Fraunhofer IEG
Supervisory Team: Florian Wagner, Hansruedi Maurer, Rolf Bracke, Renate Pechnig
Start date: 1.3.2021

ESR Objectives:

Imaging of geological structures with sharp parameter changes across layer boundaries is challenging using conventional smoothness-constrained inversion of geophysical data sets. Advanced regularization approaches consider constant geostatistical properties throughout the parameter domain and therefore fail to capture the complexity of 3D geological models including fault networks, fault–surface interactions, unconformities and dome structures.

We evaluate here geometry-based inversion using an implicit potential-field interpolation approach for an optimised representation of complex 3D reservoir models with low parametrizations.

This implementation has the potential to significantly improve reservoir models and associated process simulations to enable simplified model update with novel information. 

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