Invention Grant
- Patent Title: Automated system and methods for adaptive robust denoising of large-scale seismic data sets
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Application No.: US15914802Application Date: 2018-03-07
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Publication No.: US11243322B2Publication Date: 2022-02-08
- Inventor: Weichang Li , Ke Chen
- Applicant: Saudi Arabian Oil Company
- Applicant Address: SA Dhahran
- Assignee: Saudi Arabian Oil Company
- Current Assignee: Saudi Arabian Oil Company
- Current Assignee Address: SA Dhahran
- Agency: Fish & Richardson P.C.
- Main IPC: G01V1/36
- IPC: G01V1/36 ; G01V1/32

Abstract:
Seismic survey data is received, indexed into index sets, and each index set partitioned into data blocks. For each particular data block of a particular index set, the particular data block is sliced into frequency slices. For each particular frequency slice of the particular data block, the particular frequency slice is processed to remove random and erratic noise by: forming a Hankel matrix from the particular frequency slice: determining an optimal rank for the Hankel matrix, determining a clean signal and erratic noise from the ranked Hankel matrix, and returning the clean signal and erratic noise for the particular frequency slice. A clean signal is assembled from the index sets.
Public/Granted literature
- US20180259664A1 AUTOMATED SYSTEM AND METHODS FOR ADAPTIVE ROBUST DENOISING OF LARGE-SCALE SEISMIC DATA SETS Public/Granted day:2018-09-13
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