18162547. EFFICIENT NONLINEAR BEAMFORMING VIA ON-THE-FLY MODEL-SPACE RECONSTRUCTION simplified abstract (SAUDI ARABIAN OIL COMPANY)
EFFICIENT NONLINEAR BEAMFORMING VIA ON-THE-FLY MODEL-SPACE RECONSTRUCTION
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EFFICIENT NONLINEAR BEAMFORMING VIA ON-THE-FLY MODEL-SPACE RECONSTRUCTION - A simplified explanation of the abstract
This abstract first appeared for US patent application 18162547 titled 'EFFICIENT NONLINEAR BEAMFORMING VIA ON-THE-FLY MODEL-SPACE RECONSTRUCTION
Simplified Explanation
The patent application describes a method for enhancing seismic data to locate hydrocarbon reservoirs in a subterranean region of interest.
- Obtaining seismic data from a survey over the region.
- Dividing the data into sub-regions with local traveltime operators.
- Calculating traveltime operators using conventional and convergent methods.
- Enhancing the seismic dataset through non-linear beamforming.
- Locating hydrocarbon reservoirs using the enhanced data.
Key Features and Innovation
- Discretization of seismic data into sub-regions with local traveltime operators.
- Combination of conventional and convergent methods for calculating traveltime operators.
- Non-linear beamforming for enhancing seismic data.
- Improved accuracy in locating hydrocarbon reservoirs.
Potential Applications
The technology can be used in oil and gas exploration to accurately locate hydrocarbon reservoirs underground.
Problems Solved
- Enhances the accuracy of seismic data interpretation.
- Improves the efficiency of hydrocarbon reservoir detection.
Benefits
- Increased success rate in identifying hydrocarbon reservoirs.
- Cost-effective exploration and drilling processes.
Commercial Applications
- Oil and gas exploration companies can use this technology to optimize their exploration efforts and increase the chances of discovering valuable hydrocarbon reserves.
Questions about Seismic Data Enhancement
How does the method of discretizing seismic data into sub-regions improve the accuracy of locating hydrocarbon reservoirs?
The method allows for a more detailed analysis of the data in smaller sections, leading to a more precise understanding of the subsurface structures.
What are the advantages of using non-linear beamforming in enhancing seismic data for hydrocarbon reservoir detection?
Non-linear beamforming helps in focusing on specific areas of interest, reducing noise and improving the signal-to-noise ratio for better reservoir detection.
Original Abstract Submitted
A method is disclosed that includes obtaining a seismic data set from a seismic survey conducted over a subterranean region of interest and discretizing the seismic data set into a plurality of sub-regions each with a local traveltime operator. The method further includes dividing the plurality of sub-regions into a first subset and a second subset and calculating the local traveltime operator for each sub-region of the first subset using a conventional method and determining the local traveltime operator for each sub-region of the second subset using a convergent POCS method based on the local traveltime operators for the sub-regions of the first subset. The method further includes determining an enhanced seismic dataset by performing non-linear beamforming using the local traveltime operator for each sub-region of the plurality of sub-regions and determining a location of a hydrocarbon reservoir in the subterranean region of interest using the enhanced seismic data set.