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Bridge Electro-magnetics, 2.5D EM Forward Modeling
By Cegal (previously Blueback Reservoir)
Plug-in Attributes
Exploration | Appraisal | Concept
Norway, EAR99
  • 2015 | 2016 | 2017
Supporting Documents
Installation Guide
Release Notes
The Bridge Electromagnetics (EM) plug-in consists of a series of modules for visualization, data QC, EM attribute analysis, EM forward modeling and EM inversion analysis. The 2.5D EM Forward Modeling module is a key part in the interpretation workflow where you investigate the EM response based on your static reservoir model and/or your well data.
  • Create and design an EM survey using a set of tools for positioning the receivers. Rotation, alignment and editing of tow lines are some of the tools available
  • Build 1D resistivity models from sea level to your selected maximum depth. Define model position according to a receiver, a XY coordinate or a well position.
  • Edit the resistivity model and apply anisotropy.
  • Run the 1D plane layer modeling algorithm to model the EM response. This tool has the advantage of computational speed. Each run typically takes a few seconds.
  • Build 2.5D resistivity models based on an existing EM survey with given receiver locations. The survey can either be built in Bridge or imported
  • The input resistivity typically is based on a Petrel 3D property model and can be edited using standard Petrel functionality
  • A series of settings for the EM forward modeling algorithm can be edited and fine tuned
  • Run the 2.5D finite-difference time-domain (FTTD) algorithm to model the EM response. This tool handles more complex earth models. Each run typically will take a few minutes.
  • The modeled EM response will be made available in the EM data tree. Compare modeling runs and recorded data to optimize the resistivity model
The 2.5D EM Forward Modeling module includes functionality for building a resistivity model based on your static Petrel model and/or well logs. The resistivity distribution is then used as input in a 1D or 2.5D EM modeling algorithm. A series of model properties can be edited and tuned, together with a survey design tool to provide the modeling algorithm with coordinates for the receivers. The resulting output is stored in the Bridge EM data structure as modeled magnitude and phase. The modeling can be run in Petrel workflows.