CN116931081A - Verification method of diffraction wave imaging method - Google Patents
Verification method of diffraction wave imaging method Download PDFInfo
- Publication number
- CN116931081A CN116931081A CN202310682925.8A CN202310682925A CN116931081A CN 116931081 A CN116931081 A CN 116931081A CN 202310682925 A CN202310682925 A CN 202310682925A CN 116931081 A CN116931081 A CN 116931081A
- Authority
- CN
- China
- Prior art keywords
- imaging
- diffraction
- offset
- point
- wave
- 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.)
- Pending
Links
- 238000003384 imaging method Methods 0.000 title claims abstract description 197
- 238000000034 method Methods 0.000 title claims abstract description 50
- 238000012795 verification Methods 0.000 title claims abstract description 20
- 238000010586 diagram Methods 0.000 claims abstract description 54
- 230000008569 process Effects 0.000 claims abstract description 10
- 230000035772 mutation Effects 0.000 claims description 18
- 238000004364 calculation method Methods 0.000 claims description 9
- 238000004088 simulation Methods 0.000 claims description 7
- 239000013598 vector Substances 0.000 claims description 3
- 238000000926 separation method Methods 0.000 abstract description 11
- 238000013461 design Methods 0.000 abstract description 4
- 238000001914 filtration Methods 0.000 description 7
- 230000000694 effects Effects 0.000 description 5
- 238000012937 correction Methods 0.000 description 4
- 238000013508 migration Methods 0.000 description 4
- 230000005012 migration Effects 0.000 description 4
- 238000000354 decomposition reaction Methods 0.000 description 3
- 229910052704 radon Inorganic materials 0.000 description 3
- SYUHGPGVQRZVTB-UHFFFAOYSA-N radon atom Chemical compound [Rn] SYUHGPGVQRZVTB-UHFFFAOYSA-N 0.000 description 3
- 230000004044 response Effects 0.000 description 3
- 239000011435 rock Substances 0.000 description 3
- BVKZGUZCCUSVTD-UHFFFAOYSA-L Carbonate Chemical compound [O-]C([O-])=O BVKZGUZCCUSVTD-UHFFFAOYSA-L 0.000 description 2
- 238000011160 research Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 150000004649 carbonic acid derivatives Chemical class 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 150000003839 salts Chemical class 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
- 238000012216 screening Methods 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
- 238000011426 transformation method Methods 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V1/00—Seismology; Seismic or acoustic prospecting or detecting
- G01V1/28—Processing seismic data, e.g. analysis, for interpretation, for correction
- G01V1/30—Analysis
- G01V1/301—Analysis for determining seismic cross-sections or geostructures
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V1/00—Seismology; Seismic or acoustic prospecting or detecting
- G01V1/28—Processing seismic data, e.g. analysis, for interpretation, for correction
- G01V1/34—Displaying seismic recordings or visualisation of seismic data or attributes
- G01V1/345—Visualisation of seismic data or attributes, e.g. in 3D cubes
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V2210/00—Details of seismic processing or analysis
- G01V2210/50—Corrections or adjustments related to wave propagation
- G01V2210/51—Migration
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V2210/00—Details of seismic processing or analysis
- G01V2210/70—Other details related to processing
- G01V2210/74—Visualisation of seismic data
Abstract
The method includes the steps of establishing a combined model and parameter setting thereof, establishing an observation system and parameter setting thereof, simulating seismic wave data, obtaining full wave field data and ray tracing data, obtaining dip-domain common imaging point offset gathers, obtaining positive dip offset imaging bodies and negative dip offset imaging bodies, outputting a corresponding imaging result schematic diagram, obtaining positive dip product offset imaging bodies and negative dip product offset imaging bodies, and outputting a corresponding product schematic diagram, namely a diffraction wave imaging section. The design can provide a verification method for a diffraction wave imaging method, which is effective in verification and can process original full-wave field data without diffraction wave and reflected wave field separation.
Description
Technical Field
The application relates to the technical field of seismic migration imaging, in particular to a verification method of a diffraction wave imaging method.
Background
Global carbonates account for only about 20% of sedimentary rocks, but more than 50% of the oil and gas exploration reserves. The Chinese carbonate rock has wide stratum distribution, rich oil and gas resources and huge exploration potential. In a carbonate rock detection area, a reservoir space is mainly represented by small-scale geologic bodies such as faults, holes, cracks and the like, and the reservoir has the characteristics of irregularity, multiple scales, strong heterogeneity and the like, and earthquake response is often represented by diffraction wave characteristics. The diffraction wave imaging method is utilized to detect underground small-scale structures and salt dome edges to become the hot spot research direction of seismic migration imaging, and the method is widely focused and researched.
The mainstream seismic migration imaging technique uses reflected wave signals in the seismic wave field for imaging, while the diffracted wave imaging technique uses diffracted signals other than reflection for imaging. Diffracted wave signals are orders of magnitude weaker than reflected wave signals and tend to flood and become indistinguishable in full wave field signals. Therefore, the key of diffraction wave imaging is how to suppress the reflected wave signal, highlighting the diffraction wave response. Based on this idea, more diffraction wave imaging studies can be referred to. These technical methods can be largely classified into two types of methods, namely, a data domain and an offset domain. The data domain diffraction wave imaging method is to convert full-wave field data into different domains and image the full-wave field data by using separated diffraction wave information. Like some dynamic correction filtering methods, dynamic correction dip filtering methods (Bansal and Imhof, 2005), dynamic correction singular value filtering methods (Xu Jun, etc., 2019), dynamic correction radon transform methods, etc. After the original wave field data is dynamically corrected, the method separates out diffraction wave signals by means of linear FK filtering, singular value decomposition, radon transformation or the like based on the in-phase axis difference of the reflected wave and the diffraction wave, and images the diffraction wave signals. The filtering method has the advantages of visual thought, simple realization, poor separation effect, large calculated amount, poor parameter control and the like, and is easy to introduce additional noise. In addition, there is a method of data domain diffraction wave imaging implemented in the plane wave domain (Taner et al, 2006, fomel et al, 2007, zhu Shengwang et al, 2013). The method comprises the steps of converting full-wave field data into a plane wave domain, carrying out p decomposition, applying plane wave deconstruction filtering to different p sections to remove reflected wave signals, screening diffracted wave energy, and then imaging. The plane wave decomposition diffraction wave imaging method is deep in research and obvious in effect. However, the method has complex process and complicated steps. In general, the data domain diffraction-like wave separation imaging method is a conventional and mature diffraction wave method, but the separation effect is affected by a plurality of factors.
The diffraction wave imaging method of the offset domain is to suppress/attenuate reflected wave energy in the offset process so as to realize diffraction imaging. Such as dip diffraction wave imaging methods that separate from the difference in phase axis of diffraction and reflection in dip domain common-image point gather (Landa et al, 2008, zhang and Zhang,2014, klokov and Fomel,2012, liu et al, 2014, li Zhengwei et al, 2018). In the dip angle domain common imaging point, diffraction wave information is leveled, and reflected waves are hyperbolic, and can be separated locally by searching stable image points or by a radon transformation method. There is also a class of anti-phase-stable offset domain diffraction wave imaging methods that compress the reflected energy during the offset process by changing the offset kernel or adding an anti-phase-stable filter (Kozlov et al, 2004, moser and Howard,2008, li Xiaofeng et al, 2015). How the method determines the threshold parameters is critical in the implementation process.
From the above summary, it can be seen that the current diffracted wave imaging technique still relies on wave field separation, and it is necessary to find the difference between the reflected wave and the diffracted wave for wave field separation, both before and during migration. In practice, the reflected wave and the diffracted wave are generalized diffracted waves, which are essentially responses of point scattering or point aggregate scattering, and complete separation is impossible. Therefore, most of the problems of unsatisfactory separation effect, poor control of filtering or threshold parameters and the like exist, and extra noise is easy to introduce.
The disclosure of this background section is only intended to increase the understanding of the general background of the application and should not be taken as an admission or any form of suggestion that this information forms the prior art that is already known to a person of ordinary skill in the art.
Disclosure of Invention
The application aims to overcome the defects in the prior art and provide a verification method of a diffraction wave imaging method, which is effective in verification and can process original full-wave field data without diffraction wave and reflected wave field separation.
In order to achieve the above object, the technical solution of the present application is: a method for verifying diffraction wave imaging method; the diffraction wave imaging method comprises the following steps: acquiring inclination domain common imaging point offset gathers according to full wave field data, speed field parameters, observation system parameters and ray tracing data, respectively acquiring a positive inclination offset imaging body and a negative inclination offset imaging body based on the inclination domain common imaging point offset gathers, and multiplying the positive inclination offset imaging body and the negative inclination offset imaging body to acquire a positive inclination product offset imaging body and a negative inclination product offset imaging body, namely a diffraction wave imaging section;
the verification method comprises the following steps:
the first step: firstly, establishing a combined model, wherein the horizontal length of the combined model is 8km, the depth of the combined model is 3km, a continuous reflection interface and a plurality of isolated diffraction points are arranged in the combined model, the continuous reflection interface comprises a 0-degree inclination angle and positive and negative 45-degree inclination angle inclined structures, and an observation system is arranged;
the parameters of the velocity field include: the background speed of the combined model is 2km/s, and the speeds of the diffraction points and the continuous reflection interface are all 2.2km/s;
the parameters of the observation system include: uniformly arranging 201 cannons at intervals within the range of 0-8km at the top of the combined model to serve as vibration source points, wherein the cannon distance is 40m, and uniformly arranging 801 channels of detectors within the same range of 0-8km to serve as receiving points, wherein the channel distance is 10m;
and a second step of: firstly, performing seismic wave data simulation to generate full-wave field data U (s, r, t), and meanwhile, performing ray tracing calculation on each seismic source point and each receiving point to calculate weight W (x, alpha) and t=tau (s, x, r) when the seismic wave travels, and substituting the weight W (x, alpha) and the full-wave field data into the following formula I to obtain an inclination domain common imaging point offset gather:
wherein I (x, alpha) is the inclination angle alphaThe corresponding offset of the imaging volume is performed,respectively representing the observation line or observation plane where the vibration source point and the receiving point are located, s, r and x are respectively coordinate vectors of the vibration source point, the receiving point and the underground imaging point, W is a weight function, U is input wave field data, tau is alpha when the earthquake wave travels 0 Alpha is the offset inclination angle of the ray pair (s-x-r) at the imaging point x in the offset process, and delta is a dirac function;
and a third step of: based on the inclination angle domain common imaging point offset gather, a positive inclination angle offset imaging body is obtained by calculation according to the following formula II,
generating a corresponding positive imaging result schematic diagram; then the negative inclination angle offset imaging body is obtained by calculation according to the following formula III,
and generating a corresponding negative imaging result schematic diagram; wherein I (x, alpha) is the tilt domain common imaging point offset gather, an
Fourth step: the positive inclination angle offset imaging body and the negative inclination angle offset imaging body are subjected to point-to-point multiplication according to the following formula IV to obtain a positive inclination angle product offset imaging body,
and generating a corresponding product result diagram, namely a diffraction wave imaging section.
The continuous reflection interface comprises a first mutation point, a second mutation point, a third mutation point, a fourth mutation point and a fifth mutation point which are sequentially connected, wherein adjacent mutation points are connected with each other to form a 0-degree inclination angle and positive and negative 45-degree inclination angle inclination structure, and the structure is displayed as a left horizontal line, an upper inclination line, a lower inclination line and a right horizontal line.
The isolated diffraction points comprise three left diffraction points and three right diffraction points, wherein the three left diffraction points are all positioned on the left side of the upper inclined line, and the three right diffraction points are all positioned on the right side of the lower inclined line.
The dirac function delta is obtained according to the following formula:
where H is a step function and Δα is an interval of an angle interval set to a predetermined value.
After the positive imaging result schematic diagram is obtained, judging whether the positive inclination angle offset imaging body is correct or not according to the diagram, and judging that:
because the amplitude of the continuous reflection interface is stronger than the diffraction amplitude, imaging of diffraction points is suppressed, wherein the diffraction points near the left side of the combined model are suppressed to a greater extent than the diffraction points near the right side of the combined model;
after the negative imaging result schematic diagram is obtained, judging whether the negative inclination angle offset imaging body is correct or not according to the diagram, and judging that:
since the continuous reflection interface amplitude is stronger than the diffraction amplitude, imaging of diffraction points is suppressed, wherein diffraction points near the right side of the combined model are suppressed to a greater extent than diffraction points near the left side of the combined model.
After the positive imaging result schematic diagram and the negative imaging result schematic diagram are obtained, the positive inclination angle offset imaging body and the negative inclination angle offset imaging body are firstly subjected to the summation offset imaging body with positive inclination angle and negative inclination angle, a corresponding summation result schematic diagram is generated, and then the summation result schematic diagram is compared with a continuous reflection interface and an isolated diffraction point to judge the imaging quality, and the imaging quality is judged:
diffraction point imaging amplitudes are weaker than continuous reflection interfaces.
After the product result schematic diagram is obtained, comparing the product result schematic diagram with a continuous reflection interface and isolated diffraction points to judge imaging quality, and judging:
the imaging quality of the isolated diffraction point and the abrupt point in the continuous reflection interface is greater than that of a line interface comprising a left horizontal line, an upper inclined line, a lower inclined line, and a right horizontal line.
The source point selects a Rake wavelet simulation.
Compared with the prior art, the application has the beneficial effects that:
1. the application relates to a verification method of diffraction wave imaging method, which sequentially comprises the steps of establishing a combination model and parameter setting thereof, establishing an observation system and parameter setting thereof, simulating seismic wave data, obtaining full wave field data and ray tracing data, obtaining dip angle domain common imaging point offset gathers, obtaining positive and negative dip angle offset imaging bodies, outputting a corresponding imaging result schematic diagram, obtaining a positive and negative dip angle product offset imaging body, outputting a corresponding product result schematic diagram, namely, the diffraction wave imaging profile, not only can a novel diffraction wave imaging method be provided, which does not need to perform diffraction wave field separation at all, can avoid the influence of separation on imaging, but also can provide a specially designed verification method (comprising a specially designed combination model and a specially corresponding design of a verification step) so as to verify the result of the aforementioned diffraction wave imaging method, thereby proving the effectiveness of the diffraction wave imaging method. Therefore, the present application can provide a method for verifying a diffraction wave imaging method, which is effective in verification and can process the original full-wave-field data without separating the diffracted wave from the reflected wave field.
2. In the verification method of the diffraction wave imaging method, after the positive and negative inclination angle offset imaging bodies are obtained, corresponding imaging result diagrams are output, the correctness of the positive and negative inclination angle offset imaging bodies can be effectively verified in time by the design, whether the expected design effect is achieved or not can be judged, whether the follow-up verification method is continued or how to improve can be provided, and the diffraction wave imaging method can be compared with an initial built combined model or even a final obtained product result diagram to judge the imaging quality, so that the validity of the diffraction wave imaging method is verified, and the verification purpose is truly achieved. Therefore, the diffraction wave imaging method is high in quality and high in verification effectiveness.
Drawings
FIG. 1 is a schematic diagram of a combined model according to the present application.
FIG. 2 is a schematic diagram of a positive imaging result corresponding to a positive tilt shift imaging body according to the present application.
FIG. 3 is a diagram of a negative imaging result corresponding to a negative tilt offset imager according to the present application.
FIG. 4 is a graph showing the result of the product shift between positive and negative tilt angles.
FIG. 5 is a diagram showing the result of the addition of positive and negative tilt angles to the corresponding offset imaging body.
Detailed Description
The application is described in further detail below with reference to the accompanying drawings and detailed description.
Referring to fig. 1-5, a method of verifying a diffraction wave imaging method; the diffraction wave imaging method comprises the following steps: acquiring inclination domain common imaging point offset gathers according to full wave field data, speed field parameters, observation system parameters and ray tracing data, respectively acquiring a positive inclination offset imaging body and a negative inclination offset imaging body based on the inclination domain common imaging point offset gathers, and multiplying the positive inclination offset imaging body and the negative inclination offset imaging body to acquire a positive inclination product offset imaging body and a negative inclination product offset imaging body, namely a diffraction wave imaging section;
the verification method comprises the following steps:
the first step: firstly, establishing a combined model, wherein the horizontal length of the combined model is 8km, the depth of the combined model is 3km, a continuous reflection interface and a plurality of isolated diffraction points are arranged in the combined model, the continuous reflection interface comprises a 0-degree inclination angle and positive and negative 45-degree inclination angle inclined structures, and an observation system is arranged;
the parameters of the velocity field include: the background speed of the combined model is 2km/s, and the speeds of the diffraction points and the continuous reflection interface are all 2.2km/s;
the parameters of the observation system include: uniformly arranging 201 cannons at intervals within the range of 0-8km at the top of the combined model to serve as vibration source points, wherein the cannon distance is 40m, and uniformly arranging 801 channels of detectors within the same range of 0-8km to serve as receiving points, wherein the channel distance is 10m;
and a second step of: firstly, performing seismic wave data simulation to generate full-wave field data U (s, r, t), and meanwhile, performing ray tracing calculation on each seismic source point and each receiving point to calculate weight W (x, alpha) and t=tau (s, x, r) when the seismic wave travels, and substituting the weight W (x, alpha) and the full-wave field data into the following formula I to obtain an inclination domain common imaging point offset gather:
wherein I (x, alpha) is an offset imaging body corresponding to the inclination angle alpha,respectively representing the observation line or observation plane where the vibration source point and the receiving point are located, s, r and x are respectively coordinate vectors of the vibration source point, the receiving point and the underground imaging point, W is a weight function, U is input wave field data, tau is alpha when the earthquake wave travels 0 Alpha is the offset inclination angle of the ray pair (s-x-r) at the imaging point x in the offset process, and delta is a dirac function;
and a third step of: based on the inclination angle domain common imaging point offset gather, a positive inclination angle offset imaging body is obtained by calculation according to the following formula II,
generating a corresponding positive imaging result schematic diagram; then the negative inclination angle offset imaging body is obtained by calculation according to the following formula III,
and generating a corresponding negative imaging result schematic diagram; wherein I (x, alpha) is the tilt domain common imaging point offset gather, an
Fourth step: the positive inclination angle offset imaging body and the negative inclination angle offset imaging body are subjected to point-to-point multiplication according to the following formula IV to obtain a positive inclination angle product offset imaging body,
and generating a corresponding product result diagram, namely a diffraction wave imaging section.
The continuous reflection interface comprises a first mutation point, a second mutation point, a third mutation point, a fourth mutation point and a fifth mutation point which are sequentially connected, wherein adjacent mutation points are connected with each other to form a 0-degree inclination angle and positive and negative 45-degree inclination angle inclination structure, and the structure is displayed as a left horizontal line, an upper inclination line, a lower inclination line and a right horizontal line.
The isolated diffraction points comprise three left diffraction points and three right diffraction points, wherein the three left diffraction points are all positioned on the left side of the upper inclined line, and the three right diffraction points are all positioned on the right side of the lower inclined line.
The dirac function delta is obtained according to the following formula:
where H is a step function and Δα is an interval of an angle interval set to a predetermined value.
After the positive imaging result schematic diagram is obtained, judging whether the positive inclination angle offset imaging body is correct or not according to the diagram, and judging that:
because the amplitude of the continuous reflection interface is stronger than the diffraction amplitude, imaging of diffraction points is suppressed, wherein the diffraction points near the left side of the combined model are suppressed to a greater extent than the diffraction points near the right side of the combined model;
after the negative imaging result schematic diagram is obtained, judging whether the negative inclination angle offset imaging body is correct or not according to the diagram, and judging that:
since the continuous reflection interface amplitude is stronger than the diffraction amplitude, imaging of diffraction points is suppressed, wherein diffraction points near the right side of the combined model are suppressed to a greater extent than diffraction points near the left side of the combined model.
After the positive imaging result schematic diagram and the negative imaging result schematic diagram are obtained, the positive inclination angle offset imaging body and the negative inclination angle offset imaging body are firstly subjected to the summation offset imaging body with positive inclination angle and negative inclination angle, a corresponding summation result schematic diagram is generated, and then the summation result schematic diagram is compared with a continuous reflection interface and an isolated diffraction point to judge the imaging quality, and the imaging quality is judged:
diffraction point imaging amplitudes are weaker than continuous reflection interfaces.
After the product result schematic diagram is obtained, comparing the product result schematic diagram with a continuous reflection interface and isolated diffraction points to judge imaging quality, and judging:
the imaging quality of the isolated diffraction point and the abrupt point in the continuous reflection interface is greater than that of a line interface comprising a left horizontal line, an upper inclined line, a lower inclined line, and a right horizontal line.
The source point selects a Rake wavelet simulation.
Referring to fig. 1, fig. 1 is a schematic structural diagram of a combined model in the present application, namely a velocity model with a horizontal length of 8km, a depth of 3km, a model grid number of 1601×601, and a grid spacing of 5×5m. The combination model is internally provided with 6 isolated diffraction points and a continuous reflection interface comprising a tilt structure with 0 degree tilt angle and positive and negative 45 degrees tilt angles. The background speed of the speed model is 2km/s, and the speed of the diffraction point and the interface is 2.2km/s. The synthetic data of the present verification method was numerically modeled using the scattered wave field integral equation. The earthquake source is excited on the ground surface, 201 cannons are arranged at uniform intervals within the range of 0-8km, and the cannon spacing is 40m. The 801 detectors are uniformly arranged in the same range, and the track spacing is 10m. The seismic source selects the Rake wavelet simulation with a maximum frequency of 30Hz. The recording length is 5s and the time sampling interval is 5ms.
The full-wave field data is directly used as input, and the verification method or the diffraction imaging method in the application can respectively obtain a positive inclination angle offset imaging body and an imaging schematic diagram thereof (shown in fig. 2), a negative inclination angle offset imaging body and an imaging schematic diagram thereof (shown in fig. 3), a positive inclination angle product offset imaging body and an imaging schematic diagram thereof (shown in fig. 4), and a positive inclination angle sum offset imaging body and an imaging schematic diagram thereof (shown in fig. 5).
As shown in fig. 2, it can be seen that a portion of the diffraction point and 45 ° reflection interface are imaged, and the imaging of the diffraction point is suppressed, especially by the diffraction point on the left side of the model, because the reflection interface has a much stronger amplitude than the diffraction amplitude.
As shown in fig. 3, it can be seen that part of the diffraction points and the-45 ° reflection interface are imaged, and similarly, the imaging of the diffraction points is suppressed, especially by the diffraction points on the right side of the model.
As shown in fig. 5, it can be seen that both the diffraction point and the reflection interface are effectively imaged, but the diffraction point imaging amplitude is very weak.
As shown in fig. 4, it can be clearly seen that both isolated diffraction points and diffraction peaks (i.e., abrupt points) at the interface connection are well imaged, while horizontal and sloped continuous reflection interfaces are not.
The above description is merely of preferred embodiments of the present application, and the scope of the present application is not limited to the above embodiments, but all equivalent modifications or variations according to the present disclosure will be within the scope of the claims.
Claims (8)
1. A method for verifying a diffraction wave imaging method is characterized in that:
the diffraction wave imaging method comprises the following steps: acquiring inclination domain common imaging point offset gathers according to full wave field data, speed field parameters, observation system parameters and ray tracing data, respectively acquiring a positive inclination offset imaging body and a negative inclination offset imaging body based on the inclination domain common imaging point offset gathers, and multiplying the positive inclination offset imaging body and the negative inclination offset imaging body to acquire a positive inclination product offset imaging body and a negative inclination product offset imaging body, namely a diffraction wave imaging section;
the verification method comprises the following steps:
the first step: firstly, establishing a combined model, wherein the horizontal length of the combined model is 8km, the depth of the combined model is 3km, a continuous reflection interface and a plurality of isolated diffraction points are arranged in the combined model, the continuous reflection interface comprises a 0-degree inclination angle and positive and negative 45-degree inclination angle inclined structures, and an observation system is arranged;
the parameters of the velocity field include: the background speed of the combined model is 2km/s, and the speeds of the diffraction points and the continuous reflection interface are all 2.2km/s;
the parameters of the observation system include: uniformly arranging 201 cannons at intervals within the range of 0-8km at the top of the combined model to serve as vibration source points, wherein the cannon distance is 40m, and uniformly arranging 801 channels of detectors within the same range of 0-8km to serve as receiving points, wherein the channel distance is 10m;
and a second step of: firstly, performing seismic wave data simulation to generate full-wave field data U (s, r, t), and meanwhile, performing ray tracing calculation on each seismic source point and each receiving point to calculate weight W (x, alpha) and t=tau (s, x, r) when the seismic wave travels, and substituting the weight W (x, alpha) and the full-wave field data into the following formula I to obtain an inclination domain common imaging point offset gather:
wherein I (x, alpha) is an offset imaging body corresponding to the inclination angle alpha,respectively representing the observation line or observation plane where the vibration source point and the receiving point are located, s, r and x are respectively coordinate vectors of the vibration source point, the receiving point and the underground imaging point, W is a weight function, U is input wave field data, tau is alpha when the earthquake wave travels 0 Alpha is the offset inclination angle of the ray pair (s-x-r) at the imaging point x in the offset process, and delta is a dirac function;
and a third step of: based on the inclination angle domain common imaging point offset gather, a positive inclination angle offset imaging body is obtained by calculation according to the following formula II,
generating a corresponding positive imaging result schematic diagram; then the negative inclination angle offset imaging body is obtained by calculation according to the following formula III,
and generating a corresponding negative imaging result schematic diagram; wherein I (x, alpha) is the tilt domain common imaging point offset gather, an
Fourth step: the positive inclination angle offset imaging body and the negative inclination angle offset imaging body are subjected to point-to-point multiplication according to the following formula IV to obtain a positive inclination angle product offset imaging body,
and generating a corresponding product result diagram, namely a diffraction wave imaging section.
2. The method for verifying a diffracted wave imaging method as defined in claim 1, wherein: the continuous reflection interface comprises a first mutation point, a second mutation point, a third mutation point, a fourth mutation point and a fifth mutation point which are sequentially connected, wherein adjacent mutation points are connected with each other to form a 0-degree inclination angle and positive and negative 45-degree inclination angle inclination structure, and the structure is displayed as a left horizontal line, an upper inclination line, a lower inclination line and a right horizontal line.
3. The method for verifying a diffracted wave imaging method as defined in claim 1, wherein: the isolated diffraction points comprise three left diffraction points and three right diffraction points, wherein the three left diffraction points are all positioned on the left side of the upper inclined line, and the three right diffraction points are all positioned on the right side of the lower inclined line.
4. A method of validating a diffracted wave imaging method as claimed in claim 1, 2 or 3, wherein: the dirac function delta is obtained according to the following formula:
where H is a step function and Δα is an angular interval given to a predetermined setting.
5. A method of validating a diffracted wave imaging method as claimed in claim 1, 2 or 3, wherein:
after the positive imaging result schematic diagram is obtained, judging whether the positive inclination angle offset imaging body is correct or not according to the diagram, and judging that:
because the amplitude of the continuous reflection interface is stronger than the diffraction amplitude, imaging of diffraction points is suppressed, wherein the diffraction points near the left side of the combined model are suppressed to a greater extent than the diffraction points near the right side of the combined model;
after the negative imaging result schematic diagram is obtained, judging whether the negative inclination angle offset imaging body is correct or not according to the diagram, and judging that:
since the continuous reflection interface amplitude is stronger than the diffraction amplitude, imaging of diffraction points is suppressed, wherein diffraction points near the right side of the combined model are suppressed to a greater extent than diffraction points near the left side of the combined model.
6. A method of validating a diffracted wave imaging method as claimed in claim 1, 2 or 3, wherein: after the positive imaging result schematic diagram and the negative imaging result schematic diagram are obtained, the positive inclination angle offset imaging body and the negative inclination angle offset imaging body are firstly subjected to the summation offset imaging body with positive inclination angle and negative inclination angle, a corresponding summation result schematic diagram is generated, and then the summation result schematic diagram is compared with a continuous reflection interface and an isolated diffraction point to judge the imaging quality, and the imaging quality is judged:
diffraction point imaging amplitudes are weaker than continuous reflection interfaces.
7. The method for verifying a diffracted wave imaging method as defined in claim 2, wherein: after the product result schematic diagram is obtained, comparing the product result schematic diagram with a continuous reflection interface and isolated diffraction points to judge imaging quality, and judging:
the imaging quality of the isolated diffraction point and the abrupt point in the continuous reflection interface is greater than that of a line interface comprising a left horizontal line, an upper inclined line, a lower inclined line, and a right horizontal line.
8. A method of validating a diffracted wave imaging method as claimed in claim 1, 2 or 3, wherein: the source point selects a Rake wavelet simulation.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202310682925.8A CN116931081A (en) | 2022-11-17 | 2022-11-17 | Verification method of diffraction wave imaging method |
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202211466628.1A CN115542395A (en) | 2022-11-17 | 2022-11-17 | Diffracted wave imaging method based on positive and negative dip angle offset volume product |
CN202310682925.8A CN116931081A (en) | 2022-11-17 | 2022-11-17 | Verification method of diffraction wave imaging method |
Related Parent Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202211466628.1A Division CN115542395A (en) | 2022-11-17 | 2022-11-17 | Diffracted wave imaging method based on positive and negative dip angle offset volume product |
Publications (1)
Publication Number | Publication Date |
---|---|
CN116931081A true CN116931081A (en) | 2023-10-24 |
Family
ID=84720781
Family Applications (2)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202310682925.8A Pending CN116931081A (en) | 2022-11-17 | 2022-11-17 | Verification method of diffraction wave imaging method |
CN202211466628.1A Pending CN115542395A (en) | 2022-11-17 | 2022-11-17 | Diffracted wave imaging method based on positive and negative dip angle offset volume product |
Family Applications After (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202211466628.1A Pending CN115542395A (en) | 2022-11-17 | 2022-11-17 | Diffracted wave imaging method based on positive and negative dip angle offset volume product |
Country Status (1)
Country | Link |
---|---|
CN (2) | CN116931081A (en) |
Family Cites Families (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104297789B (en) * | 2014-10-23 | 2016-09-28 | 中国科学院地质与地球物理研究所 | A kind of three-dimensional dip territory steady phase prestack time migration method and system |
US11275190B2 (en) * | 2018-05-16 | 2022-03-15 | Saudi Arabian Oil Company | Generating diffraction images based on wave equations |
CN112444871B (en) * | 2019-08-30 | 2023-07-04 | 中国石油化工股份有限公司 | Quantitative analysis method and equipment for crack spacing based on scattered wave seismic response characteristics |
CN111880219B (en) * | 2020-08-07 | 2021-06-08 | 中国科学院地质与地球物理研究所 | Diffracted wave imaging method and device based on azimuth-dip angle gather |
-
2022
- 2022-11-17 CN CN202310682925.8A patent/CN116931081A/en active Pending
- 2022-11-17 CN CN202211466628.1A patent/CN115542395A/en active Pending
Also Published As
Publication number | Publication date |
---|---|
CN115542395A (en) | 2022-12-30 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN107526101B (en) | A kind of acquisition and processing method obtaining earthquake reflected wave | |
CN102053261B (en) | Method for processing seismic data | |
CN104237940B (en) | A kind of diffraction wave imaging method based on dynamic characteristic and device | |
CN102866421B (en) | Identify the scattering wave Prestack Imaging method of little turn-off breakpoint | |
CN102841379B (en) | Method for analyzing pre-stack time migration and speed based on common scatter point channel set | |
CN108897041B (en) | Prediction method and device for uranium ore enrichment area | |
CN105093292A (en) | Data processing method and device for earthquake imaging | |
CN104316965B (en) | Prediction method and system for fissure azimuth and intensity | |
CN103995288A (en) | Gauss beam prestack depth migration method and device | |
CN104216014A (en) | Seismic signal frequency division processing method | |
CN104533396A (en) | Remote exploration sound wave processing method | |
CN105242318A (en) | Method and apparatus for determining a communicating relation of sand bodies | |
CN102854526B (en) | Multi-component seismic data processing method | |
CN102928878A (en) | Amplitude balance quantitative evaluation method for three-dimensional earthquake observing system | |
CN104570116A (en) | Geological marker bed-based time difference analyzing and correcting method | |
CN103454681A (en) | Method and equipment for evaluating imaging effect of three-dimensional earthquake observing system | |
CN106547020A (en) | A kind of relative amplitude preserved processing method of geological data | |
CN107656308B (en) | A kind of common scattering point pre-stack time migration imaging method based on time depth scanning | |
CN104977615B (en) | A kind of multiple ripple drawing method of deep water OBC data based on modeling statistics pickup | |
CN115373023A (en) | Joint detection method based on seismic reflection and vehicle noise | |
CN102565852B (en) | Angle domain pre-stack offset data processing method aiming to detect oil-gas-bearing property of reservoir | |
CN104749623A (en) | Seismic data imaging processing method | |
CN105510975A (en) | Method and device for improving signal-to-noise ratio of seismic data | |
CN106125139B (en) | A kind of D seismic modeling method and system | |
CN106950600A (en) | A kind of minimizing technology of near surface scattering surface ripple |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination |