CN102193107B - Method for separating and denoising seismic wave field - Google Patents

Method for separating and denoising seismic wave field Download PDF

Info

Publication number
CN102193107B
CN102193107B CN 201010118989 CN201010118989A CN102193107B CN 102193107 B CN102193107 B CN 102193107B CN 201010118989 CN201010118989 CN 201010118989 CN 201010118989 A CN201010118989 A CN 201010118989A CN 102193107 B CN102193107 B CN 102193107B
Authority
CN
China
Prior art keywords
correction
seismic
linearity
wave
singular value
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Expired - Fee Related
Application number
CN 201010118989
Other languages
Chinese (zh)
Other versions
CN102193107A (en
Inventor
沈鸿雁
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Xian Shiyou University
Original Assignee
Xian Shiyou University
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Xian Shiyou University filed Critical Xian Shiyou University
Priority to CN 201010118989 priority Critical patent/CN102193107B/en
Publication of CN102193107A publication Critical patent/CN102193107A/en
Application granted granted Critical
Publication of CN102193107B publication Critical patent/CN102193107B/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Abstract

The invention discloses a method for separating and denoising a seismic wave field, comprising the following steps of: 1, reading seismic data, including m channels with each having n sampling points, into a two-dimensional array F1; 2, subjecting original seismic data F1 to linear correction to obtain L1; 3, subjecting the linearly-corrected seismic signal L1 to singular value decomposition; 4, processing a singular value series sigma1, and extracting a singular value sigma 2 reconstruction signal of a target signal to obtain L2; 5, subjecting the reconstructed signal L2 to linear inverse moveout correction in accordance with the time-distance rule of seismic wave velocity and seismic signals to obtain F2, and returning to an input data field; and 6, outputting the data F2 subjected to linear inverse correction in a seismic data format during input, thus separating and denoising seismic wave field are completed by combining linear correction with singular value decomposition. The method has the characteristic of thorough wave field separation.

Description

A kind of seismic wave field separates and denoising method
Technical field
The invention belongs to the Seismic wave processing technical field, particularly a kind of based on linearity correction (LineNormal Move Out, abbreviation LNMO) unite seismic wave field separation and the denoising method of realization with svd (Singular ValueDecomposition is called for short SVD).
Technical background
Seismic wave field is very complicated, in the open air during earthquake data acquisition, and the propagation property of the impact of extraneous various disturbing factors and seismic event self, the undesired signal that can bring many regular and irregulars into; In addition, some of indoor processing processed measure also can introduce a large amount of noises, as deconvolution, skew etc., has had a strong impact on the extraction of geological information.Seismic wave field separates with denoising extremely important, and it is prerequisite and the guarantee that improves seismic data signal to noise ratio (S/N ratio) and resolution, therefore, in geological data is processed, will do unremitting struggle with undesired signal all the time.SVD filtering is to optimize to extract relevant information from multitrace seismogram, to utilize singular value to strengthen coherent energy as orthogonal basis in the feature of signal space Orthogonal Decomposition, the compacting noise, be that it is to utilize coherence's difference of seismic event to reach the purpose of wave field separation and denoising, if come reconstruction signal just to realize elimination to weak signal and random noise with larger singular value; In order to eliminate specific lineups, also can cast out larger singular value and come reconstruction signal.Existing method is nearly all just come seismic wave field separation and denoising with SVD single method technology, and the application space is limited, and useful signal easily is damaged, and has affected the extraction of effective information.
Summary of the invention
In order to overcome above-mentioned the deficiencies in the prior art, the object of the invention is to propose a kind of seismic wave field separates and denoising method, realize that with the means of SVD Combined Treatment seismic wave field separates and denoising by LNMO, directly carry out SVD wave field separation and denoising for interested seismic signal composition, avoided the conventional art application space narrow, the defective that the useful signal loss is serious has wave field separation characteristics thoroughly.
To achieve these goals, the technical solution used in the present invention is: a kind of seismic wave field separates the method with denoising, comprises the steps:
The first step: will contain the m road, per pass has the geological data of n sampled point to read two-dimensional array F 1In;
Second step: with original earthquake data F 1Carry out linearity correction, obtain L 1:
Carry out linearity correction for linear pattern signal (as: direct wave, refraction wave) lineups, its implementation is the apparent velocity value of given linear lineups, relation by apparent velocity and offset distance, for each seismic trace is determined the linearity correction time difference, then each data of each seismic trace are carried out time shift; During linearity correction, method for determining difference is:
ΔT = x V T
Wherein: Δ T is the linearity correction time difference, V TBe the lineups apparent velocity that needs are proofreaied and correct, x is offset distance;
Carry out linearity correction for non-conversion reflection wave (as: reflected P-P ripple, S-S ripple) lineups, its implementation is at that time on the basis of rule, for each seismic trace is determined the linearity correction time difference, then each data of each seismic trace are carried out time shift; During linearity correction, method for determining difference is:
Δt = t - t 0 = t 0 2 + x 2 v 2 - t 0
Wherein: Δ t is the non-conversion reflection wave linearity correction time difference, and x is offset distance, and t is that offset distance is the whilst on tour of x, t 0Be the whilst on tour in the zero shot-geophone distance situation, v is stack velocity;
Carry out linearity correction for conversion reflection wave (as: reflected P-S ripple) lineups, be when transformed wave on the basis of rule, for each seismic trace is determined the linearity correction time difference, then each data of each seismic trace are carried out time shift; During linearity correction, method for determining difference is:
Δ t PS = t PS - t 0 PS = 1 v P ( x P 2 + z 2 - z ) + 1 v S ( x S 2 + z 2 - z )
Wherein: Δ t PSBe the conversion reflection wave linearity correction time difference, x PBe the distance of focus to transfer point, x SBe the distance of transfer point to acceptance point, t PSThat offset distance is (x P+ x S) whilst on tour, t 0PSBe the whilst on tour in the zero shot-geophone distance situation, v PBe p wave interval velocity, v SBe the S wave velocity, z is the reflecting interface degree of depth;
The 3rd step: to the seismic signal L after the process linearity correction 1Carry out svd:
L 1=U∑ 1V T
Wherein: upper angle T represents transposition, and U is by L 1L 1 TFeature value vector consist of, V is by L 1 TL 1Feature value vector consist of, ∑ 1Be made of singular value, singular value is descending to be arranged on the principal diagonal of matrix:
Σ 1 = σ 1 0 σ 2 O 0 σ m
Wherein: σ 1, σ 2Λ σ mBe L 1Singular value;
The 4th step: to ∑ 1Process, extract the singular value ∑ of echo signal 2Reconstruction signal obtains L 2Signal can be divided into two classes and be reconstructed, specific as follows:
(1) svd low-pass filtering, extract linear wave field:
L Lp = Σ j = 1 p σ j u j v j T
Wherein: upper angle T represents transposition, L LpBe the signal of reconstruct after the SVD low-pass filtering, j is the singular value sequence number, and p is L 1Order, and 1≤p≤m, σ jBe L 1J singular value, u jBe L 1L 1 TJ proper vector, v jBe L 1 TL 1J proper vector;
(2) svd high-pass filtering, isolate other seismic signal:
L Hp = Σ j = q m σ j u j v j T
Wherein: upper angle T represents transposition, L HpBe the signal of reconstruct after the svd high-pass filtering, j is the singular value sequence number, and q is L 1Order, and 1≤q≤m, m are earthquake total road number, σ jBe L 1J singular value, u jBe L 1L 1 TJ proper vector, v jBe L 1 TL 1J proper vector;
The relative size of singular value is depended in the selection of p and q, and specific practice is by singular value σ jThe function curve of subscript j determine;
According to actual filtering situation, L 2Be L Lp, L HPOne of;
The 5th the step: according to seimic wave velocity and seismic signal the time apart from rule, with the signal L after reconstruct 2Carry out anti-correction of the linearity time difference, obtain F 2, get back in the data field of input:
Carry out the anti-correction of linearity for linear pattern signal (as: direct wave, refraction wave) lineups, on the basis of linearity correction apparent velocity value, the relation of Negotiation speed and offset distance is determined linear anti-the correction time difference for each seismic trace, then each data of each seismic trace is carried out time shift:
ΔT = x V T
Wherein: Δ T is the linear anti-time difference, the V of proofreading and correct TBe the lineups apparent velocity that needs are proofreaied and correct, x is offset distance;
Carry out the anti-correction of linearity for non-conversion reflection wave (as: reflected P-P ripple, S-S ripple) lineups, at that time on the basis of rule and linearity correction apparent velocity value, determine anti-the correction time difference for each seismic trace, then each data of each seismic trace carried out time shift:
Δt = t - t 0 = t 0 2 + x 2 v 2 - t 0
Wherein: Δ t is anti-the correction time difference, and x is offset distance, and t is that offset distance is the whilst on tour of x, t 0Be the whilst on tour in the zero shot-geophone distance situation, v is stack velocity;
Carry out the anti-correction of linearity for conversion reflection wave (as: reflected P-S ripple) lineups, conversion during reflection wave on the basis of rule and linearity correction apparent velocity value, determine linear anti-the correction time difference for each seismic trace, then each data of each seismic trace carried out time shift:
Δ t PS = t PS - t 0 PS = 1 v P ( x P 2 + z 2 - z ) + 1 v S ( x S 2 + z 2 - z )
Wherein: Δ t PSBe the linear anti-time difference, the x of proofreading and correct of conversion reflection wave PBe the distance of focus to transfer point, x SBe the distance of transfer point to acceptance point, t PSThat offset distance is (x P+ x S) whilst on tour, t 0PSBe the whilst on tour in the zero shot-geophone distance situation, v PBe p wave interval velocity, v SBe the S wave velocity, z is the reflecting interface degree of depth;
The 6th step: with the data F after the anti-correction of linearity 2By the geological data formatted output in when input, just completed linearity correction and united with svd and realize that seismic wave field separates and denoising.
Because adopting LNMO with the means of SVD Combined Treatment, seismic wave field to be separated with denoising, the present invention processes, the result of doing like this is that purpose is stronger, directly carry out SVD wave field separation and denoising for interested seismic signal composition, avoided simultaneously the application space of conventional art narrow, the defectives such as the useful signal loss is serious have wave field separation characteristics thoroughly.
Description of drawings
Fig. 1 is that example of the present invention one seismic wave field separates and denoising figure as a result, and wherein (a) be ray tracing list big gun seismologic record, and model records and contains direct wave and three reflection line-ups, and has added strong random noise figure; (b) for model seismogram is carried out figure after LNMO (simultaneously downwards time shift 100ms) processes by direct wave; (c) be singular value spectrogram after original seismic data LNMO; (d) for extracting the figure as a result of the 1st σ reconstruction signal; (e) for the result of figure c being carried out the anti-figure as a result that proofreaies and correct of linearity; (f) be singular value spectrogram after LNMO, extract 2~60 σ reconstruction signals; (g) for extracting the figure as a result of 2~60 σ reconstruction signals; (h) for the result of figure g being carried out the anti-figure as a result that proofreaies and correct of linearity.
Fig. 2 is example two wave field separations of the present invention and denoising figure as a result, and wherein (a) is original single big gun seismogram, contains direct wave, ground roll, refraction wave and random noise; (b) process rear figure as a result for the non-conversion reflection wave being carried out LNMO; (c) be singular value spectrogram after original seismic data LNMO, extract the result of 1~5 σ reconstruct seismic signal; (d) the reflection seismic waves field pattern for extracting; (e) be singular value spectrogram after original seismic data LNMO, extract 6~228 σ reconstruct seismic signals; (f) the interference noise figure for extracting; (g) for the isolated effective reflection of SVD being carried out the anti-figure as a result that proofreaies and correct of linearity; (h) for the isolated interference noise of SVD being carried out the anti-figure as a result that proofreaies and correct of linearity.
Fig. 3 is the t of real data LNMO 0Time and corresponding stack velocity Parameter Map.
Embodiment
Below in conjunction with accompanying drawing, the present invention is described in further detail.
Referring to Fig. 1, Fig. 2, Fig. 3, a kind of seismic wave field separates and denoising method, comprises the steps:
The first step: will contain the m road, per pass has the geological data of n sampled point to read two-dimensional array F 1In;
Second step: with original earthquake data F 1Carry out linearity correction, obtain L 1:
Carry out linearity correction for linear pattern signal (as: direct wave, refraction wave) lineups, its implementation is the apparent velocity value of given linear lineups, relation by apparent velocity and offset distance, for each seismic trace is determined the linearity correction time difference, then each data of each seismic trace are carried out time shift; During linearity correction, method for determining difference is:
ΔT = x V T
Wherein: Δ T is the linearity correction time difference, V TBe the lineups apparent velocity that needs are proofreaied and correct, x is offset distance;
Carry out linearity correction for non-conversion reflection wave (as: reflected P-P ripple, S-S ripple) lineups, its implementation is at that time on the basis of rule, for each seismic trace is determined the linearity correction time difference, then each data of each seismic trace are carried out time shift; During linearity correction, method for determining difference is:
Δt = t - t 0 = t 0 2 + x 2 v 2 - t 0
Wherein: Δ t is the non-conversion reflection wave linearity correction time difference, and x is offset distance, and t is that offset distance is the whilst on tour of x, t 0Be the whilst on tour in the zero shot-geophone distance situation, v is stack velocity;
Carry out linearity correction for conversion reflection wave (as: reflected P-S ripple) lineups, be when transformed wave on the basis of rule, for each seismic trace is determined the linearity correction time difference, then each data of each seismic trace are carried out time shift; During linearity correction, method for determining difference is:
Δ t PS = t PS - t 0 PS = 1 v P ( x P 2 + z 2 - z ) + 1 v S ( x S 2 + z 2 - z )
Wherein: Δ t PSBe the conversion reflection wave linearity correction time difference, x PBe the distance of focus to transfer point, x SBe the distance of transfer point to acceptance point, t PSThat offset distance is (x P+ x S) whilst on tour, t 0PSBe the whilst on tour in the zero shot-geophone distance situation, v PBe p wave interval velocity, v SBe the S wave velocity, z is the reflecting interface degree of depth;
The 3rd step: to the seismic signal L after the process linearity correction 1Carry out svd:
L 1=U∑ 1V T
Wherein: upper angle T represents transposition, and U is by L 1L 1 TFeature value vector consist of, V is by L 1 TL 1Feature value vector consist of, ∑ 1Be made of singular value, singular value is descending to be arranged on the principal diagonal of matrix:
Σ 1 = σ 1 0 σ 2 O 0 σ m
Wherein: σ 1, σ 2Λ σ mBe L 1Singular value;
The 4th step: to ∑ 1Process, extract the singular value ∑ of echo signal 2Reconstruction signal obtains L 2Signal can be divided into two classes and be reconstructed, specific as follows:
(1) svd low-pass filtering, extract linear wave field:
L Lp = Σ j = 1 p σ j u j v j T
Wherein: upper angle T represents transposition, L LpBe the signal of reconstruct after the svd low-pass filtering, j is the singular value sequence number, and p is L 1Order, and 1≤p≤m, σ jBe L 1J singular value, u jBe L 1L 1 TJ proper vector, v jBe L 1 TL 1J proper vector;
(2) svd high-pass filtering, isolate other seismic signal:
L Hp = Σ j = q m σ j u j v j T
Wherein: upper angle T represents transposition, L HpBe the signal of reconstruct after the svd high-pass filtering, j is the singular value sequence number, and q is L 1Order, and 1≤q≤m, m are earthquake total road number, σ jBe L 1J singular value, u jBe L 1L 1 TJ proper vector, v jBe L 1 TL 1J proper vector;
The relative size of singular value is depended in the selection of p and q, and specific practice is by singular value σ jThe function curve of subscript j determine;
According to actual filtering situation, L 2Be L Lp, L HPOne of;
The 5th the step: according to seimic wave velocity and seismic signal the time apart from rule, with the signal L after reconstruct 2Carry out anti-correction of the linearity time difference, obtain F 2, get back in the data field of input:
Carry out the anti-correction of linearity for linear pattern signal (as: direct wave, refraction wave) lineups, on the basis of linearity correction apparent velocity value, the relation of Negotiation speed and offset distance is determined linear anti-the correction time difference for each seismic trace, then each data of each seismic trace is carried out time shift:
ΔT = x V T
Wherein: Δ T is the linear anti-time difference, the V of proofreading and correct TBe the lineups apparent velocity that needs are proofreaied and correct, x is offset distance;
Carry out the anti-correction of linearity for non-conversion reflection wave (as: reflected P-P ripple, S-S ripple) lineups, at that time on the basis of rule and linearity correction apparent velocity value, determine anti-the correction time difference for each seismic trace, then each data of each seismic trace carried out time shift:
Δt = t - t 0 = t 0 2 + x 2 v 2 - t 0
Wherein: Δ t is anti-the correction time difference, and x is offset distance, and t is that offset distance is the whilst on tour of x, t 0Be the whilst on tour in the zero shot-geophone distance situation, v is stack velocity;
Carry out the anti-correction of linearity for conversion reflection wave (as: reflected P-S ripple) lineups, conversion during reflection wave on the basis of rule and linearity correction apparent velocity value, determine linear anti-the correction time difference for each seismic trace, then each data of each seismic trace carried out time shift:
Δ t PS = t PS - t 0 PS = 1 v P ( x P 2 + z 2 - z ) + 1 v S ( x S 2 + z 2 - z )
Wherein: Δ t PSBe the linear anti-time difference, the x of proofreading and correct of conversion reflection wave PBe the distance of focus to transfer point, x SBe the distance of transfer point to acceptance point, t PSThat offset distance is (x P+ x S) whilst on tour, t 0PSBe the whilst on tour in the zero shot-geophone distance situation, v PBe p wave interval velocity, v SBe the S wave velocity, z is the reflecting interface degree of depth;
The 6th step: with the data F after the anti-correction of linearity 2By the geological data formatted output in when input, just completed linearity correction and united with svd and realize that seismic wave field separates and denoising.
Embodiment one:
Take a ray tracing model, the implementation step of this example is described as example:
The first step: will contain 60 roads, per pass has the geological data of 600 sampled points to read two-dimensional array F 1In;
Second step: with original earthquake data F 1Carry out linearity correction, obtain L 1:
Carry out linearity correction for the direct wave lineups, given direct wave apparent velocity value 1400m/s, the relation of Negotiation speed and offset distance for each seismic trace is determined linear normal moveout, is then carried out time shift to each data of each seismic trace; During linearity correction, method for determining difference is:
ΔT = x V T
Wherein: Δ T is the linearity correction time difference, V TBe the lineups apparent velocity that needs are proofreaied and correct, x is offset distance;
Carry out linearity correction for non-conversion reflection wave (as: reflected P-P ripple, S-S ripple) lineups, its implementation is at that time on the basis of rule, for each seismic trace is determined the linearity correction time difference, then each data of each seismic trace are carried out time shift; During linearity correction, method for determining difference is:
Δt = t - t 0 = t 0 2 + x 2 v 2 - t 0
Wherein: Δ t is the non-conversion reflection wave linearity correction time difference, and x is offset distance, and t is that offset distance is the whilst on tour of x, t 0Be the whilst on tour in the zero shot-geophone distance situation, v is stack velocity;
Carry out linearity correction for conversion reflection wave (as: reflected P-S ripple) lineups, be when transformed wave on the basis of rule, for each seismic trace is determined the linearity correction time difference, then each data of each seismic trace are carried out time shift; During linearity correction, method for determining difference is:
Δ t PS = t PS - t 0 PS = 1 v P ( x P 2 + z 2 - z ) + 1 v S ( x S 2 + z 2 - z )
Wherein: Δ t PSBe the conversion reflection wave linearity correction time difference, x PBe the distance of focus to transfer point, x SBe the distance of transfer point to acceptance point, t PSThat offset distance is (x P+ x S) whilst on tour, t 0PSBe the whilst on tour in the zero shot-geophone distance situation, v PBe p wave interval velocity, v SBe the S wave velocity, z is the reflecting interface degree of depth;
The 3rd step: to the seismic signal L after the process linearity correction 1Carry out svd:
L 1=U∑ 1V T
Wherein: upper angle T represents transposition, and U is by L 1L 1 TFeature value vector consist of, V is by L 1 TL 1Feature value vector consist of, ∑ 1Be made of singular value, singular value is descending to be arranged on the principal diagonal of matrix:
Σ 1 = σ 1 0 σ 2 O 0 σ m
Wherein: σ 1, σ 2Λ σ mBe L 1Singular value;
The 4th step: to singular value series ∑ 1Process, extract the singular value ∑ of echo signal 2Reconstruction signal obtains L 2Signal can be divided into two classes and be reconstructed, specific as follows:
(1) svd low-pass filtering is got the 1st singular value reconstruction signal, extracts through wave field:
L Lp = Σ j = 1 p σ j u j v j T
Wherein: upper angle T represents transposition, L LpBe the signal of reconstruct after the svd low-pass filtering, j is the singular value sequence number, and p is L 1Order, and p=1, σ jBe L 1J singular value, u jBe L 1L 1 TJ proper vector, v jBe L 1 TL 1J proper vector;
(2) the 2nd~60 singular value reconstruction signal got in svd high-pass filtering, isolates other signal:
L Hp = Σ j = q m σ j u j v j T
Wherein: upper angle T represents transposition, L HpBe the signal of reconstruct after the svd high-pass filtering, j is the singular value sequence number, and q is L 1Order, and q=2, m are earthquake total road number, and m=60, σ jBe L 1J singular value, u jBe L 1L 1 TJ proper vector, v jBe L 1 TL 1J proper vector;
The relative size of singular value is depended in the selection of p and q, and specific practice is by singular value σ jThe function curve of subscript j determine;
According to actual filtering situation, L 2Be L Lp, L HPOne of;
The 5th the step: during according to direct wave apparent velocity 1400m/s and direct wave apart from rule, with the signal L after reconstruct 2Carry out anti-correction of the linearity time difference, obtain F 2, get back in the data field of input:
Carry out the anti-correction of linearity for linear pattern signal (as: direct wave, refraction wave) lineups, on the basis of linearity correction apparent velocity value, the relation of Negotiation speed and offset distance is determined linear anti-the correction time difference for each seismic trace, then each data of each seismic trace is carried out time shift:
ΔT = x V T
Wherein: Δ T is the linear anti-time difference, the V of proofreading and correct TBe the lineups apparent velocity that needs are proofreaied and correct, x is offset distance;
Carry out the anti-correction of linearity for non-conversion reflection wave (as: reflected P-P ripple, S-S ripple) lineups, at that time on the basis of rule and linearity correction apparent velocity value, determine anti-the correction time difference for each seismic trace, then each data of each seismic trace carried out time shift:
Δt = t - t 0 = t 0 2 + x 2 v 2 - t 0
Wherein: Δ t is anti-the correction time difference, and x is offset distance, and t is that offset distance is the whilst on tour of x, t 0Be the whilst on tour in the zero shot-geophone distance situation, v is stack velocity;
Carry out the anti-correction of linearity for conversion reflection wave (as: reflected P-S ripple) lineups, conversion during reflection wave on the basis of rule and linearity correction apparent velocity value, determine linear anti-the correction time difference for each seismic trace, then each data of each seismic trace carried out time shift:
Δ t PS = t PS - t 0 PS = 1 v P ( x P 2 + z 2 - z ) + 1 v S ( x S 2 + z 2 - z )
Wherein: Δ t PSBe the linear anti-time difference, the x of proofreading and correct of conversion reflection wave PBe the distance of focus to transfer point, x SBe the distance of transfer point to acceptance point, t PSThat offset distance is (x P+ x S) whilst on tour, t 0PSBe the whilst on tour in the zero shot-geophone distance situation, v PBe p wave interval velocity, v SBe the S wave velocity, z is the reflecting interface degree of depth;
The 6th step: with the data F after the anti-correction of linearity 2By the geological data formatted output in when input, just completed linearity correction and united with svd and realize that seismic wave field separates and denoising.
Embodiment two
Take an actual seismic data, the implementation step of this example is described as example:
The first step: will contain 228 roads, per pass has the geological data of 2112 sampled points to read two-dimensional array F 1In;
Second step: with original earthquake data F 1Carry out linearity correction, obtain L 1:
Carry out linearity correction for reflected P-P ripple lineups, its implementation is at that time on the basis of rule, for each seismic trace is determined the linearity correction time difference, then each data of each seismic trace is carried out time shift; During linearity correction, method for determining difference is:
ΔT = x V T
Wherein: Δ T is the linearity correction time difference, V TBe the lineups apparent velocity that needs are proofreaied and correct, x is offset distance;
Carry out linearity correction for non-conversion reflection wave (as: reflected P-P ripple, S-S ripple) lineups, its implementation is at that time on the basis of rule, for each seismic trace is determined the linearity correction time difference, then each data of each seismic trace are carried out time shift.During linearity correction, method for determining difference is:
Δt = t - t 0 = t 0 2 + x 2 v 2 - t 0
Wherein: Δ t is the non-conversion reflection wave linearity correction time difference, and x is offset distance, and t is that offset distance is the whilst on tour of x, t 0Be the whilst on tour in the zero shot-geophone distance situation, v is stack velocity;
Carry out linearity correction for conversion reflection wave (as: reflected P-S ripple) lineups, be when transformed wave on the basis of rule, for each seismic trace is determined the linearity correction time difference, then each data of each seismic trace are carried out time shift; During linearity correction, method for determining difference is:
Δ t PS = t PS - t 0 PS = 1 v P ( x P 2 + z 2 - z ) + 1 v S ( x S 2 + z 2 - z )
Wherein: Δ t PSBe the conversion reflection wave linearity correction time difference, x PBe the distance of focus to transfer point, x SBe the distance of transfer point to acceptance point, t PSThat offset distance is (x P+ x S) whilst on tour, T 0PSBe the whilst on tour in the zero shot-geophone distance situation, v PBe p wave interval velocity, v SBe the S wave velocity, z is the reflecting interface degree of depth;
The 3rd step: to the seismic signal L after the process linearity correction 1Carry out svd:
L 1=U∑ 1V T
Wherein: upper angle T represents transposition, and U is by L 1L 1 TFeature value vector consist of, V is by L 1 TL 1Feature value vector consist of, ∑ 1Be made of singular value, singular value is descending to be arranged on the principal diagonal of matrix:
Σ 1 = σ 1 0 σ 2 O 0 σ m
Wherein: σ 1, σ 2Λ σ mBe L 1Singular value;
The 4th step: to singular value sequence ∑ 1Process, extract the singular value ∑ of echo signal 2Reconstruction signal obtains L 2Signal can be divided into two classes and be reconstructed, specific as follows:
(1) svd low-pass filtering is extracted the 1st~5 singular value reconstruction signal, extracts reflection wave:
L Lp = Σ j = 1 p σ j u j v j T
Wherein: upper angle T represents transposition, L LpBe the signal of reconstruct after the svd low-pass filtering, j is the singular value sequence number, and p is L 1Order, and p=5, σ jBe L 1J singular value, u jBe L 1L 1 TJ proper vector, v jBe L 1 TL 1J proper vector;
(2) svd high-pass filtering, extract the 6th~228 singular value reconstruction signal, burbling noise:
L Hp = Σ j = q m σ j u j v j T
Wherein: upper angle T represents transposition, L HpBe the signal of reconstruct after the svd high-pass filtering, j is the singular value sequence number, and q is L 1Order, and q=6, m are earthquake total road number, and m=228, σ jBe L 1J singular value, u jBe L 1L 1 TJ proper vector, v jBe L 1 TL 1J proper vector;
The relative size of singular value is depended in the selection of p and q, and specific practice is by singular value σ jThe function curve of subscript j determine;
According to actual filtering situation, L 2Be L Lp, L HPOne of;
The 5th the step: according to earthquake overlap wave velocity and reflected P-P ripple the time apart from rule, with the signal L after reconstruct 2Carry out anti-correction of the linearity time difference, obtain F 2, get back in the data field of input:
Carry out the anti-correction of linearity for linear pattern signal (as: direct wave, refraction wave) lineups, on the basis of linearity correction apparent velocity value, the relation of Negotiation speed and offset distance is determined linear anti-the correction time difference for each seismic trace, then each data of each seismic trace is carried out time shift:
ΔT = x V T
Wherein: Δ T is the linear anti-time difference, the V of proofreading and correct TBe the lineups apparent velocity that needs are proofreaied and correct, x is offset distance;
Carry out the anti-correction of linearity for non-conversion reflection wave (as: reflected P-P ripple, S-S ripple) lineups, at that time on the basis of rule and linearity correction apparent velocity value, determine anti-the correction time difference for each seismic trace, then each data of each seismic trace carried out time shift:
Δt = t - t 0 = t 0 2 + x 2 v 2 - t 0
Wherein: Δ t is anti-the correction time difference, and x is offset distance, and t is that offset distance is the whilst on tour of x, t 0Be the whilst on tour in the zero shot-geophone distance situation, v is stack velocity;
Carry out the anti-correction of linearity for conversion reflection wave (as: reflected P-S ripple) lineups, conversion during reflection wave on the basis of rule and linearity correction apparent velocity value, determine linear anti-the correction time difference for each seismic trace, then each data of each seismic trace carried out time shift:
Δ t PS = t PS - t 0 PS = 1 v P ( x P 2 + z 2 - z ) + 1 v S ( x S 2 + z 2 - z )
Wherein: Δ t PSBe the linear anti-time difference, the x of proofreading and correct of conversion reflection wave PBe the distance of focus to transfer point, x SBe the distance of transfer point to acceptance point, t PSThat offset distance is (x P+ x S) whilst on tour, t 0PSBe the whilst on tour in the zero shot-geophone distance situation, v PBe p wave interval velocity, v SBe the S wave velocity, z is the reflecting interface degree of depth;
The 6th step: with the data F after the anti-correction of linearity 2By the geological data formatted output in when input, just completed linearity correction and united with svd and realize that seismic wave field separates and denoising.

Claims (1)

1. a seismic wave field separates the method with denoising, it is characterized in that, comprises the steps:
The first step: will contain the m road, per pass has the geological data of n sampled point to read two-dimensional array F 1In;
Second step: original earthquake data F1 is carried out linearity correction, obtain L 1:
Carry out linearity correction for linear pattern signal lineups, its implementation is the apparent velocity value of given linear lineups, by the relation of apparent velocity and offset distance, for each seismic trace is determined the linearity correction time difference, then each data of each seismic trace are carried out time shift; During linearity correction, method for determining difference is:
ΔT = x V T
Wherein: Δ T is the linearity correction time difference, V TBe the lineups apparent velocity that needs are proofreaied and correct, x is offset distance;
Carry out linearity correction for the non-conversion reflection line-ups, its implementation is at that time on the basis of rule, for each seismic trace is determined the linearity correction time difference, then each data of each seismic trace is carried out time shift; During linearity correction, method for determining difference is:
Δt = t - t 0 = t 0 2 + x 2 v 2 - t 0
Wherein: Δ t is the non-conversion reflection wave linearity correction time difference, and x is offset distance, and t is that offset distance is the whilst on tour of x, t 0Be the whilst on tour in the zero shot-geophone distance situation, v is stack velocity;
For the conversion reflection line-ups carry out linearity correction, be when transformed wave on the basis of rule, for each seismic trace is determined the linearity correction time difference, then each data of each seismic trace are carried out time shift; During linearity correction, method for determining difference is:
Δt PS = t PS - t 0 PS = 1 v P ( x P 2 + z 2 - z ) + 1 v s ( x S 2 + z 2 - z )
Wherein: Δ t PSBe the conversion reflection wave linearity correction time difference, x PBe the distance of focus to transfer point, x SBe the distance of transfer point to acceptance point, t PSThat offset distance is x P+ x SWhilst on tour, t 0PSBe the whilst on tour in the zero shot-geophone distance situation, v PBe p wave interval velocity, v SBe the S wave velocity, z is the reflecting interface degree of depth;
The 3rd step: to the seismic signal L after the process linearity correction 1Carry out svd:
L 1=U∑ 1V T
Wherein: upper angle T represents transposition, U by L 1 L 1 T Feature value vector consist of, V by L 1 T L 1 Feature value vector consist of, ∑ 1Be made of singular value, singular value is descending to be arranged on the principal diagonal of matrix:
Figure FDA00002753598400024
Wherein: σ 1, σ 2σ mBe L 1Singular value;
The 4th step: to ∑ 1Process, extract the singular value ∑ of echo signal 2Reconstruction signal obtains L 2Signal can be divided into two classes and be reconstructed, specific as follows:
(1) svd low-pass filtering, extract linear wave field:
L Lp = Σ j = 1 p σ j u j v j T
Wherein: upper angle T represents transposition, L LpBe the signal of reconstruct after the SVD low-pass filtering, j is the singular value sequence number, and p is L 1Order, and 1≤p≤m, σ jBe L 1J singular value, u jFor L 1 L 1 T J proper vector, v jFor L 1 T L 1 J proper vector;
(2) svd high-pass filtering, isolate other seismic signal:
L Hp = Σ j = q m σ j u j v j T
Wherein: upper angle T represents transposition, L HpBe the signal of reconstruct after the svd high-pass filtering, j is the singular value sequence number, and q is L 1Order, and 1≤q≤m, m are earthquake total road number, σ jBe L 1J singular value, u jFor L 1 L 1 T J proper vector, v jFor L 1 T L 1 J proper vector;
The relative size of singular value is depended in the selection of p and q, and specific practice is by singular value σ jThe function curve of subscript j determine;
According to actual filtering situation, L 2Be L Lp, L HPOne of;
The 5th the step: according to seimic wave velocity and seismic signal the time apart from rule, with the signal L after reconstruct 2Carry out anti-correction of the linearity time difference, obtain F 2, get back in the data field of input:
Carry out the anti-correction of linearity for linear pattern signal lineups, on the basis of linearity correction apparent velocity value, the relation of Negotiation speed and offset distance is that each seismic trace is determined linear anti-the correction time difference, then each data of each seismic trace is carried out time shift:
ΔT = x V T
Wherein: Δ T is the linear anti-time difference, the V of proofreading and correct TBe the lineups apparent velocity that needs are proofreaied and correct, x is offset distance;
Carrying out for the non-conversion reflection line-ups that linearity is anti-proofreaies and correct, at that time on the basis of rule and linearity correction apparent velocity value, is that each seismic trace is determined anti-the correction time difference, then each data of each seismic trace is carried out time shift:
Δt = t - t 0 = t 0 2 + x 2 v 2 - t 0
Wherein: Δ t is anti-the correction time difference, and x is offset distance, and t is that offset distance is the whilst on tour of x, t 0Be the whilst on tour in the zero shot-geophone distance situation, v is stack velocity;
Carrying out the anti-correction of linearity for the conversion reflection line-ups, on the basis of rule and linearity correction apparent velocity value, is that each seismic trace is determined the linear anti-correction time difference when the conversion reflection wave, then each data of each seismic trace is carried out time shift:
Δ t PS = t PS - t 0 PS = 1 v P ( x P 2 + z 2 - z ) + 1 v S ( x S 2 + z 2 - z )
Wherein: Δ t PSBe the linear anti-time difference, the x of proofreading and correct of conversion reflection wave PBe the distance of focus to transfer point, x SBe the distance of transfer point to acceptance point, t PSThat offset distance is x P+ x SWhilst on tour, t 0PSBe the whilst on tour in the zero shot-geophone distance situation, v PBe p wave interval velocity, v SBe the S wave velocity, z is the reflecting interface degree of depth;
The 6th step: with the data F after the anti-correction of linearity 2By the geological data formatted output in when input, just completed linearity correction and united with svd and realize that seismic wave field separates and denoising.
CN 201010118989 2010-03-05 2010-03-05 Method for separating and denoising seismic wave field Expired - Fee Related CN102193107B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN 201010118989 CN102193107B (en) 2010-03-05 2010-03-05 Method for separating and denoising seismic wave field

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN 201010118989 CN102193107B (en) 2010-03-05 2010-03-05 Method for separating and denoising seismic wave field

Publications (2)

Publication Number Publication Date
CN102193107A CN102193107A (en) 2011-09-21
CN102193107B true CN102193107B (en) 2013-05-08

Family

ID=44601519

Family Applications (1)

Application Number Title Priority Date Filing Date
CN 201010118989 Expired - Fee Related CN102193107B (en) 2010-03-05 2010-03-05 Method for separating and denoising seismic wave field

Country Status (1)

Country Link
CN (1) CN102193107B (en)

Families Citing this family (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104297782B (en) * 2013-07-19 2017-03-15 中国石油天然气集团公司 A kind of method that instantaneous slowness is estimated using the plural coefficient correlation that frequency becomes
CN104865603A (en) * 2014-02-26 2015-08-26 中国石油化工股份有限公司 SVD filtering method and device for inclined layer
CN105319593A (en) * 2014-07-04 2016-02-10 中国石油化工股份有限公司 Combined denoising method based on curvelet transform and singular value decomposition
CN104133241B (en) * 2014-07-31 2017-04-05 中国科学院地质与地球物理研究所 Wave field separation method and apparatus
CN104360393A (en) * 2014-10-20 2015-02-18 李闯 Seismic data reconstruction method
CN107402404B (en) * 2016-05-18 2019-12-17 中国石油化工股份有限公司 VSP data wave field separation method
CN106094033B (en) * 2016-06-05 2017-12-26 吉林大学 The orientation seismic beam forming method of singular value decomposition
CN108645920B (en) * 2018-04-09 2020-12-22 华南理工大学 Denoising and alignment-based direct wave suppression method for ultrasonic flaw detection of steel rail
CN109343110B (en) * 2018-09-26 2020-04-07 西安石油大学 Method for separating seismic diffracted waves by mean value rejection filtering
CN112180445A (en) * 2019-07-03 2021-01-05 中国石油化工股份有限公司 Seismic exploration data noise removing method, storage medium and computer system
CN110895346A (en) * 2019-11-19 2020-03-20 西安石油大学 Method for separating seismic diffracted waves by common offset distance domain SVD filtering
CN110895345A (en) * 2019-11-19 2020-03-20 西安石油大学 Method for separating seismic diffracted waves by post-stack SVD filtering
CN111856551A (en) * 2020-06-22 2020-10-30 山东电力工程咨询院有限公司 Shallow layer transverse high-resolution Rayleigh wave exploration method and system
CN114199489B (en) * 2021-12-10 2023-05-09 江南大学 Method and device for adjusting natural seismic wave fitting reaction spectrum based on digital filtering

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6967898B2 (en) * 2000-07-22 2005-11-22 Schlumberger Technology Corporation Method of processing vertical seismic profile data using effective VTI models
CN101598809A (en) * 2008-06-04 2009-12-09 中国石油天然气集团公司 A kind of self-adaptation is eliminated the method for linear programming noise and multiple reflection interference

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6967898B2 (en) * 2000-07-22 2005-11-22 Schlumberger Technology Corporation Method of processing vertical seismic profile data using effective VTI models
CN101598809A (en) * 2008-06-04 2009-12-09 中国石油天然气集团公司 A kind of self-adaptation is eliminated the method for linear programming noise and multiple reflection interference

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
沈鸿雁等.奇异值分解(SVD)实现地震波场分离与去噪新思路.《地球物理学进展》.2010,第25卷(第1期),225-230. *

Also Published As

Publication number Publication date
CN102193107A (en) 2011-09-21

Similar Documents

Publication Publication Date Title
CN102193107B (en) Method for separating and denoising seismic wave field
CN101893719B (en) Method for separating and de-noising wave fields of longitudinal and transverse earthquake waves
CN103091714B (en) A kind of self-adaptation surface wave attenuation method
CN101598812B (en) Method for removing abnormal noise in single-point reception of seismic record by digital detector
CN101382598B (en) Pressing method for true 3-d seismics data linear noise
CN101598808B (en) Method for improving image quality of seismic data
CN102073064B (en) Method for improving velocity spectrum resolution by using phase information
CN103675897A (en) Seismic diffracted wave separating and imaging method
CN102053276A (en) Two-dimensional filtering method for a plurality of gathers of digital seismic signal
CN104614769B (en) A kind of Beamforming for suppressing seismic surface wave
CN102323619B (en) Linear denoising method based on multi-core processor
CN101598803A (en) A kind of method that directly obtains stacked section of converted wave
CN103412325B (en) The method of the wave field separation of a kind of earthquake P-wave And S and denoising
CN103675896B (en) A kind of diffracted wave and echo method for separate imaging
CN104216010B (en) The method improving earthquake data quality using controlled source harmonic wave
CN101900833A (en) Imaging velocity analysis method of seismic scattering P-P waves
CN102798894A (en) Sliding scanning harmonic suppression method based on sparse inversion
CN102401908A (en) Method for suppressing multiple waves by the aid of different-mode weighting sparse parabola Radon transform
CN106970417A (en) Ellipse expansion converted-wave velocity analysis method and system
CN102103215B (en) Method for suppressing surface waves of three-dimensional high-density seismic prospecting records before stack
CN106019374A (en) Reflective slot wave frequency dispersion similarity-based tomographic imaging method
CN102338886B (en) Polarization filtering method for effectively attenuating surface waves in three-component seismic record
CN1295672A (en) Ground roll attenuation method
Hu et al. Wavefield reconstruction of teleseismic receiver function with the stretching‐and‐squeezing interpolation method
CN104155688A (en) High precision weighted stack method

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C14 Grant of patent or utility model
GR01 Patent grant
C17 Cessation of patent right
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20130508

Termination date: 20140305