US5128904A
Expired / Lapsed
US
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Method for estimating the location of a sensor relative to a seismic energy source
Assignee: Westerngeco LLC
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Filing: 1991-10-11
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Granted: 1992-07-07
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Expires: 2011-10-11
Abstract
Abstract A method is disclosed for determining the separation between a seismic energy source and a seismic sensor, the location of which is known imperfectly. After the source emits a wavefield, the first-arriving impulse at the sensor is statistically processed to form a range statistic that is related to the true travel time between the source and the sensor. A set of range statistics from a plurality of source positions are filtered and converted to range loci, the intersection of which marks the location of the sensor.
Inventors
- 👤 Ronald E. Chambers
Bibliographic Details
Application Number
—
Jurisdiction
US
Data Source
google_patents
Last Synchronized
2026-10-29 03:10
CPC Classifications
G; G01; G01V; G01V1/00; G01V1/16; G01V1/20; G01S; G01S5/00; G01S5/18; G01S5/26
Claims Analysis
Total Claims: 12
Claim 1
Independent Claim
189 words
A method for estimating the separation between an acoustic source and an acoustic sensor, comprising: causing an acoustic source to emit an acoustic wavelet from each of a plurality of source positions; for each said source position: a. detecting the signature of the emitted acoustic wavelet, propagating along a substantially direct travel path to said sensor, b. measuring the amplitude of said detected signature at desired sample-time intervals to define a discrete time series, c. rectifying the samples in said time series to define an. amplitude vector, d. applying a pick operator to said amplitude vector to form a pick vector, e. transforming said pick vector to a discrete series of pseudo variance values, f. selecting the sample time corresponding to the least value from said discrete series of pseudo variances as a range statistic related to the true arrival time of said wavelet; forming a set of range statistics for said sensor location from the range statistics gleaned from each of the respective plurality of source positions; and filtering said set of range statistics to define the weighted location of said sensor with respect to said source positions.
Claim 2
Independent Claim
189 words
A method for estimating the separation between an acoustic source and an acoustic sensor, comprising: causing an acoustic source to emit an acoustic wavelet from each of a plurality of source positions; for each said source position: a. detecting the signature of the emitted acoustic wavelet, propagating along a substantially direct travel path to said sensor, b. measuring the amplitude of said detected signature at desired sample-time intervals to define a discrete time series, c. rectifying the samples in said time series to define an. amplitude vector, d. applying a pick operator to said amplitude vector to form a pick vector, e. transforming said pick vector to a discrete series of pseudo variance values, f. selecting the sample time corresponding to the least value from said discrete series of pseudo variances as a range statistic related to the true arrival time of said wavelet; forming a set of range statistics for said sensor location from the range statistics gleaned from each of the respective plurality of source positions; and filtering said set of range statistics to define the weighted location of said sensor with respect to said source positions.
Claim 3
Dependent Claim
32 words
The method of claim 1, comprising: measuring and combining the parameters of differential elevation between said source and said sensor, the velocity and said range statistics prior to the step of filtering.
Claim 4
Dependent Claim
44 words
The method as defined by claim 2, comprising: approximating the location of said sensor relative to known positions of said source, and combining the approximate location with said set of range statistics, said differential elevation and the velocity prior to the step of filtering.
Claim 5
Dependent Claim
19 words
The method as defined by claim 1, comprising: deconvolving the discrete time series prior to the step of rectifying.
Claim 6
Dependent Claim
23 words
The method as defined by claim 1, comprising: taking the second derivative of said discrete time series prior to the step of rectifying.
Claim 7
Independent Claim
161 words
A method for estimating the location of a seismic sensor relative to a seismic source, comprising: emitting an acoustic wavelet from said source at each of a plurality of source positions; for each source position: a. detecting the signature of the emitted acoustic wavelet propagating along a substantially direct travel path to said sensor; b. defining a discrete time series by measuring the amplitude of said detected signature at desired sample-time intervals within a search window of pre-selected length; c. transforming said discrete time series to a discrete series of pseudo variance values; d. selecting the least value from said discrete series of pseudo variances as a range statistic related to the true arrival time of said wavelet at said sensor; forming a set of range statistics for said sensor from the range statistics gleaned from the respective source positions; and filtering said set of range statistics to define the weighted location of said sensor with respect to said source positions.
Claim 8
Independent Claim
161 words
A method for estimating the location of a seismic sensor relative to a seismic source, comprising: emitting an acoustic wavelet from said source at each of a plurality of source positions; for each source position: a. detecting the signature of the emitted acoustic wavelet propagating along a substantially direct travel path to said sensor; b. defining a discrete time series by measuring the amplitude of said detected signature at desired sample-time intervals within a search window of pre-selected length; c. transforming said discrete time series to a discrete series of pseudo variance values; d. selecting the least value from said discrete series of pseudo variances as a range statistic related to the true arrival time of said wavelet at said sensor; forming a set of range statistics for said sensor from the range statistics gleaned from the respective source positions; and filtering said set of range statistics to define the weighted location of said sensor with respect to said source positions.
Claim 9
Dependent Claim
60 words
The method as defined by claim 6, comprising: approximating the location of said sensor with respect to known positions of said source; measuring and combining the parameters of differential elevation between said approximated sensor location and said source positions and the velocity of said wavelet with said range statistics and said approximated sensor location prior to the step of filtering.
Claim 10
Independent Claim
150 words
A method for estimating the location of a seismic sensor relative to a seismic source, comprising: emitting an acoustic wavelet from said source; at each of a plurality of sensor locations: a. detecting the signature of the emitted acoustic wavelet propagating along a substantially direct travel path from said source to said sensors, b. defining a discrete time series by measuring the amplitude of said detected signature at desired sample-time intervals, c. transforming said discrete time series to a discrete set of pseudo-variance values, d. selecting the least value from said set of pseudo-variance values as a range statistic related to the true arrival time of said wavelet at said sensor; forming a set of range statistics for said source from the range statistics calculated for the respective sensor locations; and filtering said set of range statistics to define the weighted position of said source relative to said sensor locations.
Claim 11
Independent Claim
150 words
A method for estimating the location of a seismic sensor relative to a seismic source, comprising: emitting an acoustic wavelet from said source; at each of a plurality of sensor locations: a. detecting the signature of the emitted acoustic wavelet propagating along a substantially direct travel path from said source to said sensors, b. defining a discrete time series by measuring the amplitude of said detected signature at desired sample-time intervals, c. transforming said discrete time series to a discrete set of pseudo-variance values, d. selecting the least value from said set of pseudo-variance values as a range statistic related to the true arrival time of said wavelet at said sensor; forming a set of range statistics for said source from the range statistics calculated for the respective sensor locations; and filtering said set of range statistics to define the weighted position of said source relative to said sensor locations.
Claim 12
Dependent Claim
49 words
The method as defined by claim 8, comprising: approximating the position of said source relative to known locations of said sensors; measuring and combining the differential elevation and the velocity with the approximate position of said source and the set of range statistics prior to the step of filtering.
References Cited (Backward Citations)
USPTO Annuity & Maintenance Windows
| Annuity Stage | Window Opens | Payment Deadline | Surcharge Period Until | Estimated Fee | Status |
|---|---|---|---|---|---|
| 3.5 Years (Year 4) | 1995-07-07 | 1996-01-06 | 1996-07-07 | $2000.00 | Window Closed / Lapsed |
| 7.5 Years (Year 8) | 1999-07-07 | 2000-01-06 | 2000-07-07 | $3760.00 | Window Closed / Lapsed |
| 11.5 Years (Year 12) | 2003-07-07 | 2004-01-06 | 2004-07-07 | $7700.00 | Window Closed / Lapsed |