SAUDI ARABIAN OIL COMPANY (20240280717). EFFICIENT NONLINEAR BEAMFORMING VIA ON-THE-FLY MODEL-SPACE RECONSTRUCTION simplified abstract
Contents
EFFICIENT NONLINEAR BEAMFORMING VIA ON-THE-FLY MODEL-SPACE RECONSTRUCTION
Organization Name
Inventor(s)
EFFICIENT NONLINEAR BEAMFORMING VIA ON-THE-FLY MODEL-SPACE RECONSTRUCTION - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240280717 titled 'EFFICIENT NONLINEAR BEAMFORMING VIA ON-THE-FLY MODEL-SPACE RECONSTRUCTION
The method described in the patent application involves analyzing seismic data obtained from a survey conducted over a subterranean region to locate a hydrocarbon reservoir.
- Obtaining a seismic data set from a survey over a subterranean region
- Discretizing the data set into sub-regions with local traveltime operators
- Dividing the sub-regions into two subsets
- Calculating traveltime operators using conventional and convergent methods
- Enhancing seismic data through non-linear beamforming
- Locating a hydrocarbon reservoir in the region of interest
- Potential Applications:**
This technology can be used in the oil and gas industry for more accurate reservoir mapping and exploration.
- Problems Solved:**
The method addresses the challenge of accurately locating hydrocarbon reservoirs beneath the earth's surface.
- Benefits:**
Improved accuracy in identifying hydrocarbon reservoirs can lead to more efficient and cost-effective extraction processes.
- Commercial Applications:**
This technology could be valuable for oil and gas companies looking to optimize their exploration and production activities.
- Questions about Seismic Data Analysis:**
1. How does the method of dividing sub-regions into subsets improve the accuracy of locating hydrocarbon reservoirs? 2. What are the advantages of using a convergent method for determining traveltime operators in seismic data analysis?
- Frequently Updated Research:**
Researchers are continually exploring new techniques and technologies to enhance the accuracy and efficiency of seismic data analysis for oil and gas exploration.
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.
