CN104090299B - Surface seismic data amplitude compensation method based on VSP primary waves - Google Patents

Surface seismic data amplitude compensation method based on VSP primary waves Download PDF

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CN104090299B
CN104090299B CN201410337200.6A CN201410337200A CN104090299B CN 104090299 B CN104090299 B CN 104090299B CN 201410337200 A CN201410337200 A CN 201410337200A CN 104090299 B CN104090299 B CN 104090299B
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vsp data
index
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CN104090299A (en
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曹中林
何光明
吴战培
陈爱萍
陈丹
熊晶璇
王珑
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China National Petroleum Corp
BGP Inc
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Geophysical Prospecting Co of CNPC Chuanqing Drilling Engineering Co Ltd
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Abstract

The invention provides a surface seismic data amplitude compensation method based on VSP primary waves. The method includes the following steps that downlink waves in VSP data are separated, initial time of each VSP datum in the downlink waves of the VSP data is automatically picked up, amplitudes corresponding to the initial time of the VSP data are obtained, and a data sequence is formed; the data sequence is fitted by means of an exponential curve, and an exponent x of the exponential curve is solved in a non-linear inversion method; amplitudes of sampling points of the seismic trace of surface seismic data are multiplied by an X power of time values corresponding to the sampling points respectively, so that time function gain is carried out on the surface seismic data, and amplitude compensation is achieved. According to the method, deep energy of the surface seismic data can be effectively compensated, true amplitude recovery of the seismic data is achieved, and prediction precision of an oil and gas reservoir is improved.

Description

Surface seismic data vibration amplitude compensation method based on vsp preliminary wave
Technical field
The present invention relates to oil exploration technology field, more particularly, it is related to a kind of amplitude compensation of geological data or extensive Compound recipe method.
Background technology
Gradually going deep into oil-gas exploration, the input for complex lithology oil-gas reservoir and subtle pool gradually adds Greatly, the requirement more and more higher therefore to accuracy of seismic exploration.When seismic wave is propagated in media as well, between the energy of ripple is due to particle Interact and be converted into heat energy, thus leading to the amplitude of seismic wave constantly to be decayed.Medium to the absorption of seismic wave substantially with ripple Propagation time be directly proportional, on the record section of seismic wave, echo from shallow to, the dominant frequency amplitude step-down of deep layer, differentiate Rate also decreases.Therefore it is necessary to be carried out by the amplitude that some way decays to this part in surface seismic data process Certain compensation.
For the process of surface seismic data amplitude compensation, conventional method have single track amplitude equalization, spherical diffusion compensation, Earth surface consistency vibration amplitude compensation and residual amplitude compensation etc., but the application effect of said method is not all good.
Content of the invention
For the deficiencies in the prior art, an object of the present invention is to solve present in above-mentioned prior art One or more problems.For example, an object of the present invention is to provide one kind can be better achieved to surface seismic data Carry out the method compensating with recovering of real amplitude.
To achieve these goals, the invention provides a kind of surface seismic data amplitude compensation based on vsp preliminary wave Method.The method comprising the steps of: a, the down going wave isolating in vsp data, and pick up in the down going wave of vsp data The first arrival time of per pass vsp data, and obtain the corresponding amplitude of first arrival time of per pass vsp data, form a data sequence; B, adopt data sequence described in exponential curve fitting, and obtain the index x of described exponential curve using nonlinear inversion method; C, the amplitude of each sampling point of surface seismic data seismic channel is multiplied by respectively the x power of the corresponding time value of described each sampling point, with Time function gain is carried out to surface seismic data and realizes amplitude compensation.
Alternatively, step a includes: a1, reading zero-offset vsp data;A2, separately described zero-offset vsp data Upgoing wave and down going wave;A3, per pass is obtained according to the through wave velocity of the corresponding well depth of per pass vsp data and given lower shape ripple The vsp data corresponding time;A4, corresponding for described per pass vsp data time moved down after the scheduled time with described per pass Window when constituting between the vsp data corresponding time;A5, per pass vsp data when window in count peak swing;A6, ask for every Per pass vsp data is extracted through described step a2 the first arrival time of road vsp data, and the down going wave of the vsp data after processing The amplitude a corresponding to first arrival timei, wherein, certain amplitude corresponding to one vsp data first arrival time and this road vsp data First arrival time adjacent and be located at this road vsp data first arrival time before the amplitude corresponding to two time points and with this road Vsp data first arrival time is adjacent and is located at the amplitude sum corresponding to two time points after this road vsp data first arrival time More than described peak swing divided by correction factor gained value;Wherein i is the road serial number of vsp data, and 1≤i≤n and i is just Integer, n is the maximum road number of zero-offset vsp data.
Alternatively, step a2 includes: described zero-offset vsp data is made with two-dimensional Fourier transform with by Space Time domain Data transforms in frequency wavenumber domain, makees Filtering Processing to the figure after conversion, so that up wave attenuation, then will convert again Data afterwards makees two-dimensional Fourier transform to switch back to the data of frequency wavenumber domain in Space Time domain.
Alternatively, step b includes:
B1, randomly generate m value x in the span of index x using random functionj, 1≤j≤m, and j is just whole Number, obtains exponent data group { x1,x2,…,xm, wherein, the span of described index x is [1,3];
B2, carry out first time iteration to ask for optimality index x, comprise the steps:
B21, from exponent data group { x produced by described step b11,x2,…,xmArbitrarily choose value xjAnd according to Equation below (1) is calculated corresponding calculated amplitude value a of every one vsp data first arrival timei':
(fi)x=ai' (1)
B22, set up object function, and according to the calculated a of described step b21i' and from vsp data pickup every The corresponding amplitude a of road vsp data first arrival timeiCalculate ej:
e j = σ i = 1 n ( a i - a i ′ ) 2 - - - ( 2 )
In formula (1) and (2), fiFor the first arrival time of the i-th road vsp data, i is the road serial number of vsp data, 1≤i ≤ n and i are positive integer, and n is the maximum road number of zero-offset vsp data;
B23, according to described step b21 and b22, be calculated m x produced by step b1jM, corresponding ground ej, and look for Go out m ejIn minima eminCorresponding index xbestWith m ejIn maximum emaxCorresponding index xworst
B24, as described m ejIn minima eminDuring less than predictive error precision ε, by index xbestAs optimality index X, otherwise, continues iteration next time;
B3, carry out the τ time iteration, τ >=2 and be positive integer, to ask for optimality index x, comprise the following steps:
B31, m value x that described step b1 is randomly generatedjIt is calculated new index number according to equation below (3) According to x':
x ′ = σ j = 1 m a j x j - - - ( 3 )
In formula (3),-0.5≤aj≤1.5;
B32, x' is substituted in described formula (1) and (2), if calculated e-value is less than described m ejIn maximum Value, then will substitute described exponent data group { x with x'1,x2,…,xmIn xworst, form new exponent data group;
B33, on the basis of described new exponent data group, recalculate according to described step b21~b23 and obtain minima emin', maximum emax', index xbest' and index xworst′;
If b34 is emin' < ε, by index xbest' as optimality index x, otherwise, continue iteration next time.
Compared with prior art, the present invention asks for referring to by vsp first arrival automatic Picking and using the method for non-linear inversion Number x, and time function gain compensation is carried out to surface seismic data according to index x, it is capable of the deep layer of effective compensation geological data Energy, it is achieved that surface seismic data is carried out with compensation and the recovery of real amplitude, is favorably improved the prediction essence of oil-bearing reservoir Degree.
Specific embodiment
Hereinafter, the ground based on vsp preliminary wave according to the present invention will be described in detail with reference to exemplary embodiment Geological data vibration amplitude compensation method.
Vsp (vertical seismic profiling, i.e. VSP) earthquake record (or referred to as vsp ground Shake data, vsp seismic data, vsp data) observed pattern of downhole receiving is excited for ground, that is, shot point is arranged on ground and examines Wave point is arranged in well, and its descending direct wave is affected by noise less, can more accurately reflect underground compared with surface seismic record Medium proposes to extract earth-attenuation index using the through down going wave of vsp to amplitude attenuation, therefore inventor, and is referred to using this Several surface seismic data that the same area is collected carry out time function gain compensation.Here, down going wave and upgoing wave be by The direction traveling to receiving point according to ripple to be changed point, wherein, is down going wave, below receiving point above receiving point Call traveling wave.
Surface seismic data (or referred to as surface seismic record, surface-seismic data) refers to that ground excites the sight of ground receiver Survey mode, that is, on the ground and geophone station is also provided in ground for shot point setting.
Specifically, a kind of surface seismic data vibration amplitude compensation method based on vsp preliminary wave, the method are inventors herein proposed Isolate the down going wave in vsp data first, then in the down going wave of vsp data automatic Picking per pass vsp data first arrival (i.e. First arrival time), and obtain the corresponding amplitude of first arrival time of per pass vsp data take out formation one DS, adopt one This data of bar exponential curve fitting, thus obtain the index x determining, further according to this index x, to the surface seismic data collecting Carry out time function gain compensation, thus realizing surface seismic data is carried out with compensation and the recovery of real amplitude.Wherein, preliminary wave Refer to first arrival time: when seismic wave wavefront arrives first at certain observation station, the particle of this medium start to occur vibration when Carve, the referred to as first arrival time of ripple, and the ripple recorded, referred to as preliminary wave that is to say, that in earthquake record record the The ripple of one arrival is referred to as preliminary wave.
The present invention is achieved through the following technical solutions:
A, the down going wave isolated first in vsp data, then automatic Picking per pass vsp number in the down going wave of vsp data According to first arrival time, and obtain per pass vsp data the corresponding amplitude of first arrival time formed a data sequence;
B, adopt data sequence described in an exponential curve fitting, and described index is obtained using nonlinear inversion method The index x of curve;
C, the various kinds point of surface seismic record seismic channel is multiplied by the x power of the corresponding time value of each sampling point, with over the ground Face geological data carries out time function gain compensation.
In one exemplary embodiment, the geological data vibration amplitude compensation method based on vsp preliminary wave according to the present invention Comprise the following steps:
(1) read in zero-offset vsp data v (i, t).
Wherein, be zero-offset vsp data road serial number, i={ 1,2......, n }, n be zero-offset vsp data Maximum road number;T is the time, and t={ 1,2......, t }, t are the zero-offset vsp Data Data dominant record time.Below In, with regard to the implication all same of i, repeat no more.
(2) upgoing wave and the down going wave of zero-offset vsp data are separated.
This step can separate the upgoing wave of zero-offset vsp data and the side of down going wave using commonly used in the prior art Method, for example, longitudinal stack, multiple tracks pie slice, f-k filtering, medium filtering, best of breed filtering, least squares filtering etc..
In the present embodiment, filtered using frequency wavenumber domain.That is, by two dimension is done to zero-offset vsp data s (i, t) The data in Space Time domain is transformed in frequency wavenumber domain by Fourier transformation, and at this moment in positive half-plane, upgoing wave exists down going wave In negative half-plane;Filtering Processing is made to the figure after conversion, the data in negative half-plane is multiplied by decimal (such as 0.00001) and makes Traveling wave decays, and the down going wave of positive half-plane is unaffected;Data after conversion is returned to Space Time domain in the two-dimentional Fourier transform of work Result sdw(i, t), upgoing wave has been decayed, and down going wave strengthens.
(3) read every track data corresponding well depth h from vsp data trace headeri, give the through wave velocity of down going wave simultaneously V, and it is corresponding to obtain per pass vsp data according to the through wave velocity of the corresponding well depth of per pass vsp data and given lower shape ripple Time, that is,
(4) the time t being obtained according to the every track data of step (3)i, move down time tl, window (t when obtainingi,ti+tl).This Place, tlValue to comprise the first arrival in all roads according to the when window being so that formation as far as possible, but be difficult excessive, typically take tl= 100ms.
(5) in the when window (t of per pass vsp datai,ti+tl) interior statistics peak swing, obtain maxampi.
(6) ask for the first arrival time of per pass vsp data, specifically:
Order takes window (t during the i-th roadi,ti+tl) in a time point tp, by this time point tpAmplitude and with its before and after It is adjacent to two time point tp-2、tp-1、tp+1、tp+2Corresponding amplitude is added summation and obtains amplitude sub, when this amplitude Sub is more than maxampiDivided by the value of correction factor sf gained, when being considered as the first arrival that this time point is corresponding vsp track data Between.
That is: sub=sdw(i,tp-2)+sdw(i,tp-1)+sdw(i,tp)+sdw(i,tp+1)+sdw(i,tp+2), if sub > (maxampi/ sf), then tpIt is exactly the first arrival time of this road vsp data, wherein, sf refers to a corrected parameter, can pass through Set a sf value and observe each road first arrival that automatic Picking obtains and manual observation to the difference of the actual first arrival in each road to sentence Whether rationally disconnected this correction factor sf value, if the unreasonable value adjusting sf again, for example, first takes sf=1, in the manner described above Obtain the first arrival time of per pass vsp data, and the difference of the first arrival time of artificial judgment pickup and actual first arrival time, if difference Larger, again choose sf value and pick up again, the first arrival until picking up is consistent that is to say, that being directed to substantially with actual first arrival Data with different, can adjust the precision of sf value adjustment pickup, sf=10 in this example.Set in the present embodiment and automatically pick up The method taking the vsp data first arrival of all roads, but the invention is not restricted to this, per pass can also be picked up by the method for manual observation The first arrival time of vsp data, but the automatic Picking mode according to the present embodiment, decrease the workload of artificial pickup, save Time.
Wherein, sdw(i,tp-2) represent the t of the i-th road vsp datap-2Moment corresponding amplitude, sdw(i,tp+1)、sdw(i, tp)、sdw(i,tp+2) implication in the same manner.
(7) corresponding first arrival time f of per pass is obtained according to above (1)~(6) stepi, will be from the vsp after step (2) is processed Data sdwCorresponding taking-up per pass first arrival time corresponding amplitude a in (i, t)i.
(8) set up following relational expression (1), ask for index x:
(fi)x=ai' (1)
Wherein, fiFor the first arrival time of the i-th road vsp data, for example, f1Represent first arrival time t of the 1st road vsp datap, f2 Represent first arrival time t of the 2nd road vsp datap.
(9) in the span [1,3] of given index x, that is, x, in the range of 1~3, randomly generates m with random function Value xj, 1≤j≤m, and j is positive integer, obtains exponent data group { x1,x2,…,xm, and carry out according to step (10)~(15) First time iteration, τ=1.
(10) index x is from exponent data group { x produced by step (9)1,x2,…,xmArbitrarily choose value xjAnd root It is calculated x according to above formula (1) and be taken as xjWhen corresponding calculated amplitude value a of every one vsp data first arrival timei′;
(11) set up object function, and according to the calculated a of described step (10)i' and step (7) from vsp data The corresponding amplitude a of every track data first arrival time of pickupiCalculate x and be taken as xjWhen ej:
e j = σ i = 1 n ( a i - a i ′ ) 2 - - - ( 2 )
(12) according to described step (10) and (11), it is calculated m x produced by (9)jM, corresponding ground ej, and look for Go out m ejIn minima eminAnd its corresponding index xbest, m ejIn maximum emaxAnd it is corresponding Index xworst
(13) give error precision ε=0.001.
(14) work as emin> ε, then repeat below step (15)~(19);Otherwise, by minima eminCorresponding Index xbestAs optimum index x, and carry out step (20).
(15) τ=τ+1, carries out next iteration.
(16) according to equation below (3) to { x1,x2,…,xmCarrying out recombinating generates new data x':
x ′ = σ i = 1 m a i x i - - - ( 3 )
In formula (3),-0.5≤ai≤1.5.
(17) this new data x' is substituted into formula (1) and (2), if the calculated e-value of fruit is less than xworstCorresponding e-value (i.e. emax), then will substitute described exponent data group { x with x'1,x2,…,xmIn xworst, form new exponent data group.
(18) on the basis of the new exponent data group of gained, according to step (8), (10), (11) and (12), that is, again according to Formula (1) and (2), recalculate minima e obtaining emin', the maximum e of emax' and the corresponding index x of its differencebest′、 Index xworst′;
(19) if emin' < ε, by index xbest' as optimality index x, and carry out step (20);Otherwise, continue next time Iteration, that is, repeat above step (15)~(18).
(20) according to index x, surface seismic data is carried out with the recovery of real amplitude, the amplitude of each sampling point of seismic channel is taken advantage of With the x power of its time value it may be assumed that
a0=attx(4)
Wherein, a0It is the amplitude after compensating, atRefer to the amplitude of a sampling point of seismic channel, t refers to atThe corresponding time Value (moment in other words).That is, above (1st) be provided to obtain index x, per pass surface seismic data to (19) step It is all with identical index x, formula (4) is that to surface seismic data seismic channel carries out amplitude compensation, other earthquakes Road also compensates according to this formula (4).
According to the present invention, by vsp first arrival automatic Picking, and quantitative obtain index x, without empirically or experimentally coming Given index x, it is to avoid lose time and surface seismic data compensation effect bad problem, realizes surface seismic data is entered The compensation of row real amplitude and recovery.Apply the present invention in the amplitude compensation process of surface-seismic data, being capable of effective compensation The deep energy of surface seismic data, realizes the true amplitude recovery of surface seismic data, is so favorably improved oil-bearing reservoir Precision of prediction;This technical side's convenient to operate, the speed of service are fast simultaneously, disclosure satisfy that the demand of actual production.Using the present invention Further positive role can be played during seismic data treatment, application prospect is good.
Although above by describing the present invention with reference to exemplary embodiment, those skilled in the art should be clear Chu, in the case of the spirit and scope being limited without departing from claim, can be carried out respectively to the exemplary embodiment of the present invention Plant modifications and changes.

Claims (4)

1. a kind of surface seismic data vibration amplitude compensation method based on vsp preliminary wave it is characterised in that methods described include following Step:
A, the down going wave isolated in vsp data, and pick up the first arrival time of per pass vsp data in the down going wave of vsp data, And obtain the corresponding amplitude of first arrival time of per pass vsp data, form a data sequence;
B, adopt data sequence described in exponential curve fitting, and obtain the finger of described exponential curve using nonlinear inversion method Number x;
C, the amplitude of each sampling point of surface seismic data seismic channel is multiplied by respectively x time of the corresponding time value of described each sampling point Power, to carry out time function gain to surface seismic data and to realize amplitude compensation.
2. the surface seismic data vibration amplitude compensation method based on vsp preliminary wave according to claim 1 it is characterised in that Described step a includes:
A1, reading zero-offset vsp data;
A2, the upgoing wave separating described zero-offset vsp data and down going wave;
A3, to obtain per pass vsp data according to the corresponding well depth of per pass vsp data and the through wave velocity of given lower shape ripple corresponding Time;
When a4, corresponding for described per pass vsp data time are moved down corresponding with described per pass vsp data after the scheduled time Between between constitute when window;
A5, per pass vsp data when window in count peak swing;
A6, ask for the first arrival time of per pass vsp data, and carry the down going wave of the vsp data after processing through described step a2 Take the amplitude a corresponding to the first arrival time of per pass vsp datai, wherein, certain amplitude corresponding to one vsp data first arrival time, Adjacent with this road vsp data first arrival time and be located at this road vsp data first arrival time before two time points corresponding to shake Width and two time point institutes that are adjacent with this road vsp data first arrival time and being located at after this road vsp data first arrival time are right The amplitude sum answered is more than the value divided by correction factor gained for the described peak swing;
Wherein i is the road serial number of vsp data, and 1≤i≤n and i is positive integer, and n is the maximum road number of zero-offset vsp data.
3. the surface seismic data vibration amplitude compensation method based on vsp preliminary wave according to claim 2 it is characterised in that Described step a2 includes:
Two-dimensional Fourier transform is made so that the data in Space Time domain is transformed to frequency wavenumber domain to described zero-offset vsp data In, Filtering Processing is made to the figure after conversion, so that up wave attenuation, then again the data after conversion is made two-dimentional Fourier and become Change to switch back to the data of frequency wavenumber domain in Space Time domain.
4. the surface seismic data vibration amplitude compensation method based on vsp preliminary wave according to claim 1 it is characterised in that Described step b includes:
B1, randomly generate m value x in the span of index x using random functionj, 1≤j≤m, and j is positive integer, obtains Exponent data group { x1,x2,…,xm, wherein, the span of described index x is [1,3];
B2, carry out first time iteration to ask for optimality index x, comprise the steps:
B21, from exponent data group { x produced by described step b11,x2,…,xmArbitrarily choose value xjAnd according to following Formula (1) is calculated corresponding calculated amplitude value a of every one vsp data first arrival timei':
(fi)x=ai' (1)
B22, set up object function, and according to the calculated a of described step b21i' and from vsp data pickup per pass vsp Data first arrival time corresponding amplitude aiCalculate ej:
e j = σ i = 1 n ( a i - a i ′ ) 2 - - - ( 2 )
In formula (1) and (2), fiFor the first arrival time of the i-th road vsp data, i is the road serial number of vsp data, 1≤i≤n and I is positive integer, and n is the maximum road number of zero-offset vsp data;
B23, according to described step b21 and b22, be calculated m x produced by step b1jM, corresponding ground ej, and find out m Individual ejIn minima eminCorresponding index xbestWith m ejIn maximum emaxCorresponding index xworst
B24, as described m ejIn minima eminDuring less than predictive error precision ε, by index xbestAs optimality index x, no Then, continue iteration next time;
B3, carry out the τ time iteration, τ >=2 and be positive integer, to ask for optimality index x, comprise the following steps:
B31, m value x that described step b1 is randomly generatedjIt is calculated new exponent data x' according to equation below (3):
x ′ = σ j = 1 m a j x j - - - ( 3 )
In formula (3),-0.5≤aj≤1.5;
B32, x is taken as x', substitutes in described formula (1) and (2), if calculated e-value is less than described m ejIn maximum Value, then will substitute described exponent data group { x with x'1,x2,…,xmIn xworst, form new exponent data group;
B33, on the basis of described new exponent data group, recalculate according to described step b21~b23 and obtain minima emin', maximum emax', index xbest' and index xworst′;
If b34 is emin' < ε, by index xbest' as optimality index x, otherwise, continue iteration next time.
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