20240045090. METHOD FOR SEPARATING INFORMATION ASSOCIATED WITH DIFFRACTION EVENTS FROM SPECULAR INFORMATION PRESENT IN THE SEISMIC DATA simplified abstract (PETRÓLEO BRASILEIRO S.A. - PETROBRAS)

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METHOD FOR SEPARATING INFORMATION ASSOCIATED WITH DIFFRACTION EVENTS FROM SPECULAR INFORMATION PRESENT IN THE SEISMIC DATA

Organization Name

PETRÓLEO BRASILEIRO S.A. - PETROBRAS

Inventor(s)

EVALDO CESARIO Mundim of Rio de Janeiro (BR)

CAIAN Benedicto of Campinas (BR)

JORGE HENRIQUE Faccipieri, Jr. of Campinas (BR)

DANY Rueda Serrano of Campinas (BR)

MARTIN Tygel of Campinas (BR)

TIAGO ANTONIO Alves Coimbra of Campinas (BR)

METHOD FOR SEPARATING INFORMATION ASSOCIATED WITH DIFFRACTION EVENTS FROM SPECULAR INFORMATION PRESENT IN THE SEISMIC DATA - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240045090 titled 'METHOD FOR SEPARATING INFORMATION ASSOCIATED WITH DIFFRACTION EVENTS FROM SPECULAR INFORMATION PRESENT IN THE SEISMIC DATA

Simplified Explanation

The present invention is a method for separating diffraction events from seismic data. The method involves obtaining pre-stacked seismic data and building velocity guides. Kinematic parameters associated with the double square root (DSR) traveltime are estimated for each sample of the input data. DSR stacking is performed on each input data sample, and the amplitudes of the stacked data are distributed over the DSR traveltime.

  • The method separates diffraction events from specular information in seismic data.
  • Pre-stacked seismic data is used as input data.
  • Velocity guides are built using a table containing velocity information for different common-depth points (CDPs) indices.
  • Kinematic parameters associated with the DSR traveltime are estimated for each sample of the input data.
  • DSR stacking is performed on each input data sample considering a stacking aperture.
  • The amplitudes of the stacked data are distributed over the DSR traveltime.

Potential applications of this technology:

  • Oil and gas exploration: The method can help in identifying and analyzing subsurface structures and potential hydrocarbon reservoirs.
  • Geotechnical engineering: The method can be used to study the properties of the Earth's subsurface for construction projects or infrastructure development.
  • Environmental monitoring: The method can assist in detecting and monitoring geological hazards such as landslides or earthquakes.

Problems solved by this technology:

  • Separation of diffraction events: The method addresses the challenge of distinguishing diffraction events from specular information in seismic data, which is crucial for accurate interpretation and analysis.
  • Improved imaging: By separating diffraction events, the method enhances the quality and clarity of seismic images, allowing for better identification and characterization of subsurface features.

Benefits of this technology:

  • Enhanced data interpretation: The method provides clearer and more accurate seismic data, enabling geoscientists and engineers to make more informed decisions.
  • Time and cost savings: By automating the separation of diffraction events, the method reduces the manual effort required for data processing, saving time and resources.
  • Improved subsurface characterization: The method improves the understanding of subsurface structures and properties, leading to better reservoir characterization and resource estimation.


Original Abstract Submitted

the present invention relates to a method for separating information associated with diffraction events from specular information present in the seismic data, the method comprising the steps of: obtaining an input data, wherein the input data is a pre-stacked seismic data; building velocity guides, which comprises providing a table containing velocity information for time samples for different cdps (common-depth points) indices; estimating dsr (double square root) kinematic parameters, which comprises estimating kinematic parameters associated with the dsr traveltime for each sample of the input data considering an estimation aperture, which comprises the region in which the dsr traveltime adjustment to the input data will be evaluated; dsr stacking of each input data sample considering a stacking aperture, which comprises the region in which the input data amplitudes will be stacked over the dsr traveltime; and dsr spreading each sample of the pre-stacked data, comprising defining a aperture, wherein the aperture comprises the region in which the amplitudes of the dsr stacked data, obtained in the dsr stacking step over the dsr traveltime, are distributed.

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