CN101105537A - High accuracy depth domain prestack earthquake data inversion method - Google Patents
High accuracy depth domain prestack earthquake data inversion method Download PDFInfo
- Publication number
- CN101105537A CN101105537A CNA2006100986745A CN200610098674A CN101105537A CN 101105537 A CN101105537 A CN 101105537A CN A2006100986745 A CNA2006100986745 A CN A2006100986745A CN 200610098674 A CN200610098674 A CN 200610098674A CN 101105537 A CN101105537 A CN 101105537A
- Authority
- CN
- China
- Prior art keywords
- gather
- point
- focusing
- shot
- avp
- 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.)
- Granted
Links
Images
Landscapes
- Geophysics And Detection Of Objects (AREA)
Abstract
The invention relates to a pre stack seismic data inversion method of globe physical exploration high accuracy depth domain, which has the following steps: single shot records are collected; according to pre stack shot gather data and through radial line track or wave-field continuation focus, wave-field continuation focusing operators of all detecting wave points are pointed to and the focusing operator of each imaging point is obtained; the focusing operator and the single shot record are implemented in a migration aperture, and focus point shot gather corresponding to each shot is obtained; the focusing operator and common focus point gather are implemented cross correlation operation in time domain and space domain at the same time, and net point gather is obtained; the net point gather is implemented Radon transform, and CFP-AVP gather of corresponding imaging point is obtained; each imaging point gather is stacked, and the whole 2D document pre stack high accuracy analysis sectional plane is obtained. The CFP-AVP analysis in the invention has the advantages of wide application condition, reliable analysis sectional plane and sound effect of supercritical information inversion.
Description
Technical Field
The invention relates to a geophysical exploration technology, in particular to a high-precision depth domain prestack seismic data inversion method under the premise of not reducing imaging quality in reflected wave seismic exploration.
Background
In the reflected wave seismic exploration, reflection information (seismic records) from underground geologic bodies is obtained by exciting a ground explosive source, a controllable source or a heavy hammer source, and the reflection information needs to be processed by a series of seismic data including static correction, dynamic correction, superposition, migration and the like, so as to obtain an imaging section for explaining geology, wherein the imaging section comprises a superposition section and a migration section, a superposition acceleration field, a layer velocity field and the like, and the places where petroleum and natural gas possibly exist are predicted by the joint interpretation of geologists. However, the overlay and offset profiles are the result of adding all the same reflection point information, i.e. the same reflection point is overlaid with all the information varying with the offset. The comprehensive response of the reflection point information is seen on the superposition and offset sections, and the information of different offset reflection before superposition of the same reflection point is needed to be known in actual exploration.
As oil and gas exploration is further deepened, post-stack inversion (inversion performed on a stacked profile, mainly wave impedance and some other hydrocarbon detection) cannot meet the requirements of oil and gas exploration, and people need to know the variation (AVO) characteristics of the reflection amplitude of a reservoir along with the offset (information before stacking the same reflection point) in more detail, so that pre-stack AVO inversion becomes a hot point for research. Conventional prestack AVO inversion (extracting an angle gather from a common-midpoint gather after dynamic correction, and then performing linear fitting along an offset direction on the angle gather to obtain an intercept and a gradient profile and a hydrocarbon detection profile) has some problems. First, the motion correction (NMO) process in the conventional process tends to distort the waveform of the in-phase axis (mainly waveform deformation), and is most serious for the in-phase axis distortion of the far offset distance. Therefore, waveform distortion becomes the biggest problem in conventional AVO inversion. Further, the NMO processing also shifts the processed waveform to a low frequency (mainly due to waveform stretching), and in a region with a relatively complicated structure, the amplitude of the reflected wave generated by a fault, a non-integration, a killer, or the like is severely distorted, and the AVO inversion result obtained thereby is not very reliable. Furthermore, since the in-phase axis of the reflected wave is not completely repositioned after NMO processing and the diffracted wave is not completely converged (which is a necessary defect in conventional processing), the result of AVO inversion thereof is biased in the region with structural dip. At present, prestack depth migration is considered to be the most accurate reflected wave homing and diffracted wave convergence method, but how to realize the inversion of prestack reflection amplitude along with the change of ray parameters (AVP) on the basis of ensuring the reflected wave migration homing becomes a problem to be solved in petroleum geological exploration.
Disclosure of Invention
The invention aims to provide an AVP high-precision depth domain prestack seismic data inversion method based on prestack depth migration.
The pre-stack AVP inversion method comprises the following specific steps:
1) Acquiring a single shot record through conventional field seismic data acquisition;
2) By ray tracing or wave field continuation focusing in the imaging aperture according to prestack shot gather data
3) Obtaining a focusing operator of each imaging point by a wave field continuation operator from the point to each wave detection point;
performing convolution on the obtained focusing operator and the single-shot record in the offset aperture to obtain a focusing point shot gather corresponding to each shot;
4) Performing mutual correlation operation on the focusing operator and the confocal point gather in a time domain and a space domain to obtain a grid point gather;
5) Transforming the grid point gather into a radon domain through radon transformation to obtain a CFP-AVP gather corresponding to the imaging points;
6) And superposing the CFP-AVP gather of each imaging point according to the same ray parameters to obtain a pre-stack CFP-AVP analysis section of the whole two-dimensional data.
In the step (4), two-step focusing is applied to solve the grid point gather of which the reflection amplitude changes along with the incident angle.
The invention is a very effective method in prestack AVO inversion, which mainly shows that:
the AVP gather is obtained in the pre-stack migration imaging process, the in-phase axis of the reflected wave is already reset, and the diffracted wave is converged, so that the result of AVP inversion is accurate in the area with the structural dip angle. Therefore, the CFP-AVP analysis has wider application conditions and more reliable section analysis results. The amplitude-ray parameter (AVP) analysis of the invention has no hypothesis of small inclination angle, and not only can well invert the reflection coefficient when the reflection coefficient is smaller than the critical angle, but also has good inversion effect on the supercritical information. And accurately analyzing the cross section of the pre-stack CFP-AVP of the two-dimensional data obtained by the method.
FIG. 5 is a cross-sectional view of the intercept (a) and gradient (b) of the fit after the pre-stack CFP-AVP analysis of the present invention. Diffracted waves that do not converge completely can be seen where indicated by the arrows, which is also a drawback of conventional AVO analysis (fig. 4). However, the position of the section structure obtained by the method is very accurate, the reflected wave is correctly returned, the diffracted wave is converged, and the accuracy of the AVO analysis result and the accuracy of the position are far better than those of the conventional AVO analysis. Particularly, the CFP-AVP analysis result of the two-dimensional data of the invention is a three-dimensional data volume, which has a third-dimensional ray parameter P besides the (X, Z) of the conventional overlay section, and can truly reflect the parameter of AVP information.
Drawings
FIG. 1 (a) is the focusing operator, (b) is the CFP gather;
FIG. 2 is a CFP-AVP analysis of a single focus point;
FIG. 3 is a sectional view of a CFP-AVP analysis at a location;
FIG. 4 is a cross-sectional view of the intercept (a) and gradient (b) of a conventional AVO inversion of a model;
FIG. 5 is an intercept (a) and gradient (b) profile of a fit after a pre-stack CFP-AVP analysis of the present invention.
Detailed Description
The following describes embodiments of the present invention with reference to the drawings.
The invention is realized based on a confocal point gather seismic wave propagation mode proposed by Berkhout in 1997Model (III)The principle is realized.
By eliminating the effects of acquisition and propagation effects in seismic records, reflection coefficient information is obtained for the subsurface.
And eliminating the effect of seismic source and downlink wave propagation by using excitation point focusing. The remaining detector, the propagation effect and reflection coefficient of the down-going wave:
P j (z 0 ,z m )=D(z 0 )W(z 0 ,z m )R j (z m )+ε j (z≠z m ) (2)
(2) For focus point response, P j (z 0 ,z m ) Is located at (x) for the focus point j ,z m ) A Confocal Focus (CFP) trace set.
And eliminating the demodulator probe and the uplink wave propagation effect by utilizing the demodulator probe focusing. A dual focused CFP shift result is obtained:
ΔP ji (z m )=R ji (z m ) (3)
in the time domain, (3) indicates that the reflection information is located at t =0 (zero travel time imaging principle).
The dual focusing process is repeated at each grid point in the subsurface. And after all grid points are finished, acquiring a copolymerization CFP migration imaging result of the seismic record.
(3) Is a cross-correlation process in the second focusing step of double-focusing offset, and utilizes the zero-data time imaging principle to obtain underground grid point (x) j ,z m ) Full under-critical and over-critical reflection coefficients in the radon domain (grid point gathers):
where k represents the plane wave component at the grid point.
And transforming the previous grid point gather into a linear radon field to obtain a gather of which the reflection amplitude at each imaging point is changed along with ray parameters.
In most cases using oblique incidence divergence correction factors, the continuous medium amplitude compensation is:
wherein, theta 0 Is the angle of departure of the ray at the surface, K is the relative rate of change of velocity, z is the depth, v 0 Is the speed of the ground table(s),is the root mean square velocity at the depth z. Compensation for inelastic attenuation can be performed by using a compensation module on the existing processing system.
On the basis of the above principle, the present invention proposes the following embodiments:
acquiring a single shot record through conventional field seismic data acquisition;
obtaining a focusing operator of each imaging point by ray tracing or wave field continuation operators from a focusing point to each demodulator probe according to the prestack shot gather data in the imaging aperture (as shown in figure 1 (a));
performing convolution on the obtained focusing operator and the single shot record in the offset aperture to obtain a focusing point shot gather corresponding to each shot;
and (3) superposing the focus point shot gathers generated in the previous step according to time to generate a confocal focus gather (namely a CFP gather) corresponding to the reverse time focusing operator (as shown in figure 1 (b)). Two-step focusing is applied to obtain a grid point gather of which the reflection amplitude changes along with the incident angle.
Performing two-dimensional full-cross correlation on the reverse time focusing operator and the confocal point gather to obtain a grid point gather; transforming the grid point gather into a Lawning domain to obtain a CFP-AVP gather (shown in figure 2) of the imaging point;
the CFP-AVP gathers for each image point are superimposed to obtain a pre-stack CFP-AVP analysis profile of the entire two-dimensional data (see FIG. 3).
Claims (2)
1. A high-precision depth domain pre-stack seismic data inversion method is characterized by comprising the following steps: the method comprises the following specific steps:
(1) Acquiring a single shot record through conventional field seismic data acquisition;
(2) Obtaining a focusing operator of each imaging point through ray tracing or wave field continuation operators from a focusing point to each demodulator probe according to the prestack shot gather data in the imaging aperture;
(3) Performing convolution on the obtained focusing operator and the single shot record in the offset aperture to obtain a focusing point shot gather corresponding to each shot;
(4) Performing cross-correlation operation on the focusing operator and the confocal point gather in a time domain and a space domain simultaneously to obtain a grid point gather;
(5) Transforming the grid point gather into a radon domain through radon transformation to obtain a CFP-AVP gather corresponding to the imaging points;
(6) And superposing the CFP-AVP trace sets of each imaging point according to the same ray parameters to obtain the pre-stack CFP-AVP high-precision analysis profile of the whole two-dimensional data.
2. The high-precision depth domain pre-stack seismic data inversion method according to claim 1, characterized in that: and (4) applying two-step focusing to obtain a grid point gather of which the reflection amplitude changes along with the incident angle.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CNB2006100986745A CN100487489C (en) | 2006-07-12 | 2006-07-12 | High accuracy depth domain prestack earthquake data inversion method |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CNB2006100986745A CN100487489C (en) | 2006-07-12 | 2006-07-12 | High accuracy depth domain prestack earthquake data inversion method |
Publications (2)
Publication Number | Publication Date |
---|---|
CN101105537A true CN101105537A (en) | 2008-01-16 |
CN100487489C CN100487489C (en) | 2009-05-13 |
Family
ID=38999517
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CNB2006100986745A Expired - Fee Related CN100487489C (en) | 2006-07-12 | 2006-07-12 | High accuracy depth domain prestack earthquake data inversion method |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN100487489C (en) |
Cited By (19)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2009105964A1 (en) * | 2008-02-25 | 2009-09-03 | 中国石油集团东方地球物理勘探有限责任公司 | Method of pre-stack two-dimension-like transformation of three-dimensional seismic record |
CN101840000B (en) * | 2009-03-20 | 2011-12-07 | 中国石油天然气集团公司 | Plane wave pre-stack depth migration method |
CN101598804B (en) * | 2008-06-04 | 2012-02-29 | 中国石油天然气集团公司 | Three-dimensional method for determining structure of underground oil-gas reservoir |
CN102455439A (en) * | 2010-11-02 | 2012-05-16 | 中国石油大学(北京) | Diffracted wave field separation method based on Kirchhoff integral method |
CN102590859A (en) * | 2011-12-31 | 2012-07-18 | 中国石油集团西北地质研究所 | Anisotropic reverse time migration method for quasi-P wave equation in transverse isotropy with a vertical axis of symmetry (VTI) medium |
CN104267433A (en) * | 2014-09-12 | 2015-01-07 | 中国科学院地质与地球物理研究所 | Method and device for obtaining migration noise of converted waves of three-dimensional multi-component seismological observation system |
CN106570040A (en) * | 2015-10-12 | 2017-04-19 | 中国石油化工股份有限公司 | Multilevel data indexing method and system based on pre-stack reverse time migration |
CN106772592A (en) * | 2016-11-10 | 2017-05-31 | 中国矿业大学(北京) | The analysis method and device of diffracted wave focus energy |
CN106873031A (en) * | 2017-02-15 | 2017-06-20 | 中国科学院地质与地球物理研究所 | A kind of 3 D seismic observation system vertical resolution quantitative analysis evaluation method |
CN108802817A (en) * | 2018-05-28 | 2018-11-13 | 中国石油天然气股份有限公司 | A kind of method, apparatus and system of multiple aperture depth migration imaging |
CN109490964A (en) * | 2018-11-12 | 2019-03-19 | 同济大学 | A kind of improved high-precision A VO elastic parameter fast inversion method |
CN109507722A (en) * | 2017-09-15 | 2019-03-22 | 中国石油化工股份有限公司 | Interbed multiple prediction technique and system based on model and dual wavefield continuation |
CN110573911A (en) * | 2017-03-16 | 2019-12-13 | 沙特***石油公司 | Continuous seismic reservoir monitoring using confocal methods |
CN110741284A (en) * | 2017-04-11 | 2020-01-31 | 沙特***石油公司 | Compressing seismic wavefields in three-dimensional reverse time migration |
CN112099088A (en) * | 2020-09-16 | 2020-12-18 | 中油奥博(成都)科技有限公司 | Oil-gas indication and characterization method based on high-density optical fiber seismic data |
CN112987088A (en) * | 2021-02-22 | 2021-06-18 | 成都理工大学 | Seepage medium seismic transverse wave numerical simulation and imaging method |
CN113589385A (en) * | 2021-08-11 | 2021-11-02 | 成都理工大学 | Reservoir characteristic inversion method based on seismic scattering wave field analysis |
US11268352B2 (en) | 2019-04-01 | 2022-03-08 | Saudi Arabian Oil Company | Controlling fluid volume variations of a reservoir under production |
US11656378B2 (en) | 2020-06-08 | 2023-05-23 | Saudi Arabian Oil Company | Seismic imaging by visco-acoustic reverse time migration |
Families Citing this family (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102269821B (en) * | 2010-06-01 | 2016-08-31 | 潜能恒信能源技术股份有限公司 | A kind of WEFOX disintegrating method double-directional focusing pre-stack seismic formation method |
CN102778693B (en) * | 2011-05-13 | 2014-09-10 | 中国石油化工股份有限公司 | Diffracted wave separation processing method based on reflection wave layer leveling extraction and elimination |
-
2006
- 2006-07-12 CN CNB2006100986745A patent/CN100487489C/en not_active Expired - Fee Related
Cited By (26)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2009105964A1 (en) * | 2008-02-25 | 2009-09-03 | 中国石油集团东方地球物理勘探有限责任公司 | Method of pre-stack two-dimension-like transformation of three-dimensional seismic record |
CN101598804B (en) * | 2008-06-04 | 2012-02-29 | 中国石油天然气集团公司 | Three-dimensional method for determining structure of underground oil-gas reservoir |
CN101840000B (en) * | 2009-03-20 | 2011-12-07 | 中国石油天然气集团公司 | Plane wave pre-stack depth migration method |
CN102455439B (en) * | 2010-11-02 | 2013-10-23 | 中国石油大学(北京) | Diffracted wave field separation method based on Kirchhoff integral method |
CN102455439A (en) * | 2010-11-02 | 2012-05-16 | 中国石油大学(北京) | Diffracted wave field separation method based on Kirchhoff integral method |
CN102590859B (en) * | 2011-12-31 | 2014-01-22 | 中国石油集团西北地质研究所 | Anisotropic reverse time migration method for quasi-P wave equation in transverse isotropy with a vertical axis of symmetry (VTI) medium |
CN102590859A (en) * | 2011-12-31 | 2012-07-18 | 中国石油集团西北地质研究所 | Anisotropic reverse time migration method for quasi-P wave equation in transverse isotropy with a vertical axis of symmetry (VTI) medium |
CN104267433A (en) * | 2014-09-12 | 2015-01-07 | 中国科学院地质与地球物理研究所 | Method and device for obtaining migration noise of converted waves of three-dimensional multi-component seismological observation system |
CN106570040A (en) * | 2015-10-12 | 2017-04-19 | 中国石油化工股份有限公司 | Multilevel data indexing method and system based on pre-stack reverse time migration |
CN106772592A (en) * | 2016-11-10 | 2017-05-31 | 中国矿业大学(北京) | The analysis method and device of diffracted wave focus energy |
CN106772592B (en) * | 2016-11-10 | 2018-08-07 | 中国矿业大学(北京) | Diffracted wave focuses the analysis method and device of energy |
CN106873031A (en) * | 2017-02-15 | 2017-06-20 | 中国科学院地质与地球物理研究所 | A kind of 3 D seismic observation system vertical resolution quantitative analysis evaluation method |
CN106873031B (en) * | 2017-02-15 | 2019-01-15 | 中国科学院地质与地球物理研究所 | A kind of 3 D seismic observation system vertical resolution quantitative analysis evaluation method |
CN110573911A (en) * | 2017-03-16 | 2019-12-13 | 沙特***石油公司 | Continuous seismic reservoir monitoring using confocal methods |
CN110741284A (en) * | 2017-04-11 | 2020-01-31 | 沙特***石油公司 | Compressing seismic wavefields in three-dimensional reverse time migration |
CN109507722B (en) * | 2017-09-15 | 2020-11-13 | 中国石油化工股份有限公司 | Model and dual-wavefield continuation-based interlayer multiple prediction method and system |
CN109507722A (en) * | 2017-09-15 | 2019-03-22 | 中国石油化工股份有限公司 | Interbed multiple prediction technique and system based on model and dual wavefield continuation |
CN108802817A (en) * | 2018-05-28 | 2018-11-13 | 中国石油天然气股份有限公司 | A kind of method, apparatus and system of multiple aperture depth migration imaging |
CN109490964A (en) * | 2018-11-12 | 2019-03-19 | 同济大学 | A kind of improved high-precision A VO elastic parameter fast inversion method |
US11268352B2 (en) | 2019-04-01 | 2022-03-08 | Saudi Arabian Oil Company | Controlling fluid volume variations of a reservoir under production |
US11656378B2 (en) | 2020-06-08 | 2023-05-23 | Saudi Arabian Oil Company | Seismic imaging by visco-acoustic reverse time migration |
CN112099088A (en) * | 2020-09-16 | 2020-12-18 | 中油奥博(成都)科技有限公司 | Oil-gas indication and characterization method based on high-density optical fiber seismic data |
CN112099088B (en) * | 2020-09-16 | 2022-04-12 | 中油奥博(成都)科技有限公司 | Oil-gas indication and characterization method based on high-density optical fiber seismic data |
CN112987088A (en) * | 2021-02-22 | 2021-06-18 | 成都理工大学 | Seepage medium seismic transverse wave numerical simulation and imaging method |
CN113589385A (en) * | 2021-08-11 | 2021-11-02 | 成都理工大学 | Reservoir characteristic inversion method based on seismic scattering wave field analysis |
CN113589385B (en) * | 2021-08-11 | 2023-08-04 | 成都理工大学 | Reservoir characteristic inversion method based on seismic scattered wave field analysis |
Also Published As
Publication number | Publication date |
---|---|
CN100487489C (en) | 2009-05-13 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN101105537A (en) | High accuracy depth domain prestack earthquake data inversion method | |
Toomey et al. | Tomographic imaging of the shallow crustal structure of the East Pacific Rise at 9° 30′ N | |
CN104570125B (en) | A kind of method utilizing well data to improve image taking speed model accuracy | |
CN102033242B (en) | Deep inclined fractured reservoir earthquake amplitude prediction method | |
CN100501449C (en) | Method for dividing and processing earthquake data | |
CN102305941B (en) | Method for determining stratum stack quality factor by direct scanning of prestack time migration | |
CN109738945B (en) | Method for directly generating construction diagram by using prestack depth migration result | |
CN104280777B (en) | Method for suppressing interference of seismic data multiples on land | |
CN109669212B (en) | Seismic data processing method, stratum quality factor estimation method and device | |
CN102073064B (en) | Method for improving velocity spectrum resolution by using phase information | |
CN102854526B (en) | Multi-component seismic data processing method | |
CN111722284B (en) | Method for establishing speed depth model based on gather data | |
Wilson et al. | Single‐chamber silicic magma system inferred from shear wave discontinuities of the crust and uppermost mantle, Coso geothermal area, California | |
US6430508B1 (en) | Transfer function method of seismic signal processing and exploration | |
CN104570116A (en) | Geological marker bed-based time difference analyzing and correcting method | |
EP3929629B1 (en) | Method for improving 2d seismic acquisition | |
CN107656308B (en) | A kind of common scattering point pre-stack time migration imaging method based on time depth scanning | |
CN1797033A (en) | Method for raising precision of shifted image before superposition by using root mean square velocity | |
Plescia et al. | Teleseismic P‐wave coda autocorrelation imaging of crustal and basin structure, Bighorn Mountains Region, Wyoming, USA | |
Hu et al. | Wavefield reconstruction of teleseismic receiver function with the stretching‐and‐squeezing interpolation method | |
Li et al. | Elastic transmitted wave reverse time migration for imaging Earth’s interior discontinuities: a numerical study | |
CN109839659B (en) | Method for carrying out iterative optimization on prestack depth migration profile | |
Ye et al. | Preserved amplitude migration based on the one way wave equation in the angle domain | |
Ghalayini | Geophysical Investigation of Carrizo Formation by Using Two-Dimensional Seismic Surveys in the Tullos-Urania Oilfield in LaSalle Parish, LA | |
Osinowo | Reprocessing of regional 2D marine seismic data of part of Taranaki basin, New Zealand using Latest processing techniques |
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 | ||
CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20090513 |
|
CF01 | Termination of patent right due to non-payment of annual fee |