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SeiVis: An Interactive Visual Subsurface Modeling Application.

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This study introduces an integrated approach for creating accurate subsurface models from seismic data. It significantly speeds up the process by interactively linking seismic interpretation with velocity modeling, improving risk assessment for energy exploration.

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Area of Science:

  • Geophysics
  • Subsurface Modeling
  • Seismic Data Interpretation

Background:

  • Fossil fuels are vital for energy demands, necessitating accurate subsurface models for hydrocarbon exploration.
  • Current methods for creating subsurface models from seismic data involve complex, iterative processes with potential for inaccuracies.
  • Reconstructing subsurface structures from seismic reflection data is an inverse problem, challenged by data ambiguity and the need to integrate well data.

Purpose of the Study:

  • To present a novel, integrated approach for interactively creating subsurface models from reflection seismics.
  • To overcome the limitations of traditional, lengthy back-and-forth methods in seismic interpretation and velocity modeling.
  • To enhance the connection between seismic data in the time domain and well data in the depth domain for more accurate models.

Main Methods:

  • Integrated interpretation of seismic data using interactive horizon extraction with piecewise global optimization.
  • Coupled velocity modeling with interactive seismic interpretation to create depth-converted models.
  • Novel joint time/depth visualization for direct comparison of original seismic data and depth-converted models.

Main Results:

  • The presented workflow enables rapid and accurate creation of subsurface models.
  • Interactive feedback loop allows on-the-fly visualization of interpretation and velocity model changes.
  • Domain expert evaluation confirmed significantly faster model creation compared to previous approaches.

Conclusions:

  • The integrated approach revolutionizes subsurface model creation from seismic data.
  • It provides a more direct and efficient way for domain experts to fit seismic interpretations to ground truth data.
  • This method reduces economic and ecological risks in hydrocarbon reservoir exploitation.