Patent US4397006A successfully refreshed from Google Patents.
US4397006A
Expired / Lapsed
US
⏱️ 0.0 years remaining
Cross trace coherent noise filtering for seismograms
Assignee: Mobil Oil AS
•
Filing: 1980-12-31
•
Granted: 1983-08-02
•
Expires: 2000-12-31
Abstract
Abstract In seismic exploration windows from a pair of contiguous traces are used in a process which determines the coherent noise on a basis trace and removes this coherent noise from a prediction trace. The operator of a digital filter is determined by autocorrelating the basis trace, cross-correlating the window of the basis trace, with the window of the prediction trace, and selecting the filter operator which produces the least error between the cross-correlation function and the product of the autocorrelation function and the operator.
Inventors
- 👤 James N. Galbraith, Jr.
Bibliographic Details
Application Number
—
Jurisdiction
US
Data Source
google_patents
Last Synchronized
2026-10-23 07:47
CPC Classifications
G; G01; G01V; G01V1/00; G01V1/28; G01V1/36; G01V1/364; G01V1/366; G01V2210/00; G01V2210/30; G01V2210/32; G01V2210/324; G01V2210/3246; G01V2210/50; G01V2210/52
Claims Analysis
Total Claims: 4
Claim 1
Independent Claim
145 words
In seismic exploration wherein sets of seismic traces represent the reflections of seismic energy detected at locations along a line of exploration, the method of filtering coherent noise which has a different moveout from trace to trace than said reflections comprising: selecting sampling windows from a pair of contiguous traces in said set, one being a basis trace and the other a prediction trace; determining the coefficients of a digital filter which correlates the coherent noise in the window of said basis trace with the coherent noise in the window of said prediction trace; filtering said basis trace with said digital filter to produce an estimate of said coherent noise; removing said estimate of said coherent noise from said prediction trace; and repeating all of the foregoing steps for other pairs of contiguous traces in said set to remove said coherent noise from said traces.
Claim 2
Dependent Claim
145 words
In seismic exploration wherein sets of seismic traces represent the reflections of seismic energy detected at locations along a line of exploration, the method of filtering coherent noise which has a different moveout from trace to trace than said reflections comprising: selecting sampling windows from a pair of contiguous traces in said set, one being a basis trace and the other a prediction trace; determining the coefficients of a digital filter which correlates the coherent noise in the window of said basis trace with the coherent noise in the window of said prediction trace; filtering said basis trace with said digital filter to produce an estimate of said coherent noise; removing said estimate of said coherent noise from said prediction trace; and repeating all of the foregoing steps for other pairs of contiguous traces in said set to remove said coherent noise from said traces.
Claim 3
Dependent Claim
61 words
The method recited in claim 1 wherein the step of determining the coefficients of a filter comprises: autocorrelating the window of the basis trace; cross-correlating the window of said basis trace with the window of said prediction trace; and selecting the coefficients which produce the least error between the cross-correlation function and the product of the autocorrelation function and the coefficients.
Claim 4
Dependent Claim
129 words
The method recited in claim 1 wherein the step of selecting the window from said prediction trace comprises: cross-correlating the window of said basis trace with said prediction trace through all sampling intervals in which said coherent noise may appear; determining the coefficients of a digital filter which correlates the coherent noise in said window of said basis trace with the coherent noise in a window of said prediction trace; determining the least squared error between the coherent noise in said basis trace and the noise predicted from said filter coefficients; repeating the foregoing two steps for different sampling windows of said prediction trace through all of said sampling intervals; and selecting the minimum least squared error to identify the sampling window to be selected for said prediction trace.
References Cited (Backward Citations)
US3629800A
Cited
US3705382A
Cited
US4204279A
Cited
US4323876A
Cited
US4095225A
Cited
US4063549A
Cited
US4283601A
Cited
US4223399A
Cited
USPTO Annuity & Maintenance Windows
| Annuity Stage | Window Opens | Payment Deadline | Surcharge Period Until | Estimated Fee | Status |
|---|---|---|---|---|---|
| 3.5 Years (Year 4) | 1986-08-01 | 1987-01-31 | 1987-08-02 | $2000.00 | Window Closed / Lapsed |
| 7.5 Years (Year 8) | 1990-08-01 | 1991-01-31 | 1991-08-02 | $3760.00 | Window Closed / Lapsed |
| 11.5 Years (Year 12) | 1994-08-01 | 1995-01-31 | 1995-08-02 | $7700.00 | Window Closed / Lapsed |