CN112764101A - Anticline structure form determination method and device based on seismic migration profile - Google Patents
Anticline structure form determination method and device based on seismic migration profile Download PDFInfo
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Abstract
The invention provides a method and a device for determining a anticline structure form based on a seismic migration profile, wherein the method for determining the anticline structure form based on the seismic migration profile comprises the following steps: acquiring anticline structure seismic data to be determined, wherein the anticline structure seismic data at least comprises syncline structure seismic data; performing seismic migration imaging processing on the anticline structure seismic data to generate a migration profile; and performing offset homing on the syncline structure on the offset section to determine a anticline structure form. The invention can provide the earthquake method for accurately determining the anticline structure form with strong operability.
Description
Technical Field
The invention relates to the field of petroleum exploration, in particular to the technical field of improving the description precision of structural traps by utilizing seismic processing data, and specifically relates to a anticline structural form determining method and device based on a seismic migration profile.
Background
Most complex anticline (high and steep structure) seismic data are low in signal noise, the quality of migration imaging is directly related to the implementation of trap and well exploration success rate, and the characteristics of anticline trap cannot be characterized by insufficient migration and excessive migration (figure 1). The method has the advantages that the large deviation speed is selected to be appropriate, whether the deviated anticline form is reasonable or not is generally different greatly due to personal viewpoints and experiences, correct judgment needs to be made in actual work, the rationality and the reliability of the structural form are guaranteed, and reliable trap is provided for exploratory well deployment.
In summary, a convenient, feasible and effective method for determining the anticline structure form based on the seismic migration profile is lacked at present.
Disclosure of Invention
Aiming at the problems in the prior art, the invention can provide the earthquake method for accurately determining the anticline structure form with strong operability.
In order to solve the technical problems, the invention provides the following technical scheme:
in a first aspect, the invention provides a method for determining a anticline structure form based on a seismic migration profile, which comprises the following steps:
acquiring anticline structure seismic data to be determined, wherein the anticline structure seismic data at least comprises syncline structure seismic data;
performing seismic migration imaging processing on the anticline structure seismic data to generate a migration profile;
homing the syncline construct on the offset profile to determine a anticline construct morphology.
In one embodiment, the homing the syncline configuration on the offset profile includes:
picking up the shear wave of the syncline configuration on the offset profile;
and returning the rotating wave to a preset syncline structure form.
In one embodiment, the homing the syncline structure on the offset profile to determine a anticline structure morphology includes:
homing the rotating waves on the migration section according to a preset syncline structure form to generate the homed syncline structure seismic data;
and determining the anticline structure form according to the migration profile and the repositioned syncline structure seismic data.
In one embodiment, the seismic migration imaging process comprises: seismic time-migration imaging processing and seismic depth-migration imaging processing, the migration profiles including time-migration profiles and depth-migration profiles.
In a second aspect, the present invention provides a anticline structure shape determining apparatus based on a seismic migration profile, the apparatus comprising:
the system comprises a seismic data acquisition unit, a data processing unit and a data processing unit, wherein the seismic data acquisition unit is used for acquiring anticline structure seismic data to be determined, and the anticline structure seismic data at least comprise syncline structure seismic data;
the migration profile generation unit is used for carrying out seismic migration imaging processing on the anticline structure seismic data to generate a migration profile;
a configuration form determination unit for homing the syncline configuration on the offset section to determine a anticline configuration form.
In one embodiment, the structural form determination unit includes:
a gyro wave pickup module for picking up gyro waves of the syncline configuration on the offset profile;
and the homing module is used for homing the rotating wave to a preset syncline structure form.
In one embodiment, the structural form determination unit further includes:
the syncline data generation module is used for homing the rotating waves on the migration section according to a preset syncline structure form so as to generate the homed syncline structure seismic data;
and the structural form determining module is used for determining the anticline structural form according to the migration section and the repositioned syncline structural seismic data.
In one embodiment, the seismic migration imaging process comprises: seismic time-migration imaging processing and seismic depth-migration imaging processing, the migration profiles including time-migration profiles and depth-migration profiles.
In a third aspect, the present invention provides an electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the method for determining the morphology of a anticline structure based on a seismic migration profile when executing the program.
In a fourth aspect, the present invention provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of a method for determining a morphology of a anticline formation based on a seismic migration profile.
As apparent from the above description, the present invention provides a method and an apparatus for determining a anticline structural form based on a seismic migration profile, which acquire a true anticline structural form by performing seismic migration imaging processing on seismic data including anticlines and synclines and by returning a syncline gyro wave (or a diffracted wave, a cross-sectional wave, and a lateral wave) on the generated migration profile in accordance with a syncline structure. The method determines that the anticline width on the offset section is reasonable and is matched with the reality, thereby being beneficial to calibrating the size and the shape of the anticline trap, the closing height, the trapping area and the lowest trapping line. And data basis is provided for accurate calculation control and detection of reserves.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a schematic illustration of seismic widths in various seismic sections in an embodiment of the invention;
FIG. 2 is a schematic flow chart of a method for determining a morphology of a anticline structure based on a seismic migration profile according to an embodiment of the present invention;
FIG. 3 is a first flowchart illustrating a step 300 according to an embodiment of the present invention;
FIG. 4 is a first flowchart illustrating step 300 according to an embodiment of the present invention;
FIG. 5 is a schematic flow chart of a method for determining the morphology of a anticline structure based on a seismic migration profile in an embodiment of the present invention;
FIG. 6 is a schematic diagram of a method for determining the morphology of a anticline structure based on a seismic migration profile in an embodiment of the present invention;
FIG. 7 is a schematic diagram of a horizontal stacking time section in an embodiment of the present invention;
FIG. 8 is a schematic diagram of a construction model in an embodiment of the present invention;
FIG. 9 is a cross-sectional view of a prestack time migration in an embodiment of the present invention;
FIG. 10 is a horizontal overlay section of the BC survey line of the garage vehicle in an embodiment of the invention;
FIG. 11 is a cross section of a post-stack time migration of the BC survey line of a garage vehicle in an embodiment of the present invention;
FIG. 12 is a cross section of YAC line horizontally superimposed in an embodiment of the present invention;
FIG. 13 is a YAC line post-stack time migration profile in an embodiment of the present invention;
FIG. 14 is a schematic horizontal superposition section of a special wave in an embodiment of the present invention;
FIG. 15 is a cross-sectional view of a specific pre-stack time migration of a wave in an embodiment of the present invention;
FIG. 16 is a schematic cross-sectional view of a specific pre-stack depth migration in an embodiment of the present invention;
FIG. 17 is a pre-stack time migration profile containing well data in an embodiment of the present invention;
FIG. 18 is a pre-stack depth migration profile containing well data in an embodiment of the present invention;
FIG. 19 is a schematic structural diagram of a anticline tectonic configuration determination device based on seismic migration profiles in an embodiment of the present invention;
FIG. 20 is a first schematic structural diagram of a configuration determining unit according to an embodiment of the present invention;
FIG. 21 is a second schematic structural diagram of a configuration determination unit according to an embodiment of the present invention;
fig. 22 is a schematic structural diagram of an electronic device in an embodiment of the invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The embodiment of the invention provides a specific implementation of a method for determining a anticline structure form based on a seismic migration profile, and referring to fig. 2, the method specifically comprises the following steps:
step 100: and acquiring anticline structure seismic data to be determined, wherein the anticline structure seismic data at least comprises syncline structure seismic data.
It will be appreciated that generally complex anticline structures have a "concave-convex" structure, i.e. "syncline-anticline" development tends to occur simultaneously, as reflected reflections are correlated on seismic sections.
Step 200: and performing seismic migration imaging processing on the anticline structure seismic data to generate a migration profile.
Migration imaging refers to rearranging seismic information units, so that diffracted waves are converged, reflected waves are restored to a real position, and the real form of an underground structure is visually displayed.
Seismic migration can be done either before or after the stack. Pre-stack migration is the process of homing the reflected waves in the common shot gather records or common offset gather records to the reflection interface that generated them and causing the diffracted waves to converge on the diffracted spot that generated it. The propagation effects, such as diffusion and attenuation, are removed when the reflected wave is back projected onto the reflecting interface and the diffracted wave converges on the diffraction point. And finally obtaining a seismic waveform section which can reflect the characteristics of the interface reflection coefficient and is correctly restored, namely an offset section. The post-stack migration is performed on the basis of a horizontal stacking section, and the concept of an explosive reflecting surface is adopted to realize the accurate homing of the inclined reflecting layer and the complete convergence of the diffracted wave aiming at the problems that the inclined reflecting layer on the horizontal stacking section cannot be accurately homing and the diffracted wave cannot be completely converged.
Step 300: homing the syncline construct on the offset profile to determine a anticline construct morphology.
Specifically, when the syncline structure is restored to its true structural form on the offset cross section, the anticline structural form on the offset cross section is the true form of the anticline structure.
As is apparent from the above description, the present invention provides a method for determining a anticline structural form based on a seismic migration cross section, which obtains a true anticline structural form by performing seismic migration imaging processing on seismic data including anticlines and synclines and by returning a syncline gyro wave (or a diffracted wave, a cross-sectional wave, and a lateral wave) in accordance with a syncline structure on a generated migration cross section. The method determines that the anticline width on the offset section is reasonable and is matched with the reality, thereby being beneficial to calibrating the size and the shape of the anticline trap, the closing height, the trapping area and the lowest trapping line. And data basis is provided for accurate calculation control and detection of reserves.
In one embodiment, referring to fig. 3, step 300 specifically includes:
step 301: picking up the syncline-configured gyrotron wave on the offset profile.
It will be understood that a return wave (reverse branch) is a reflected wave formed where the radius of curvature of the concave interface is less than the depth of the interface or when the velocity gradient is large, the distance curve being such that it overlaps the intersection.
Step 302: and shifting and returning the rotating wave to a preset syncline structure form.
It should be noted that the reason why the overlap-and-mask intersection phenomenon occurs on the time-distance curve when the revolving waves arrive at the same point on the ground surface is that the reflected waves from both sides of the concave interface and from the flat interface reach the same point on the ground surface, and the order of the points on the time-distance curve and the order of their corresponding reflection points are opposite, which is called the underground focus effect (buffered focus effect). The characteristics of the rotating wave are that the apparent speed is low, and the amplitude is increased at the rotating point; it always accompanies the normal reflected wave and interferes with each other. It is very confusing with steep dip reflections near faults and needs to be carefully identified. In addition, the preset syncline structure form can be determined by technologies such as field outcrop in geological exploration.
In one embodiment, referring to fig. 4, step 300 further comprises:
step 303: and carrying out migration homing on the rotating waves on the migration section according to a preset syncline structure form so as to generate the homed syncline structure seismic data.
Step 304: and determining the anticline structure form according to the migration profile and the repositioned syncline structure seismic data.
It is understood that the configuration form in steps 303 to 304 is used to describe the form and shape of the wrinkles. The method comprises the following steps: the rock stratum at the central part of the nuclear fold. ② the wing refers to a relatively straight part at two sides of the fold. And the turning end refers to a bent part of a corrugated surface (such as a rock layer surface) which is transited from one wing to the other wing. The form of the turning end has a circular arc shape, a pointed edge shape, a box shape, a knee shape, etc., and thus the wrinkles are described as a circular arc wrinkle (a), a pointed edge wrinkle (b), a box-shaped wrinkle (c), a fan-shaped wrinkle (d), a flexure (e), etc., respectively. Hinge (hingeoneoffold) refers to the line connecting the points of maximum curvature of a single fold surface (e.g. a rock surface). The hinge can be a straight line, and can also be a curve line and a broken line. The spatial aspect of the hub may be horizontal, inclined or upright. Axis plane (axialplane), the plane formed by connecting the hinges of adjacent fold planes (such as rock plane) is called axis plane, the axis plane is an assumed mark plane which can be a straight plane or a curved plane, and the intersection line of the axis plane and the ground or any other plane is called axis trace. And the inflection point is the boundary point of the convex part and the concave part on the continuous periodic waveform curve. I.e. the point where the curvature of the fold wing is zero. The connecting line of the highest point of the same back-shaped fold surface is called ridge line; on the contrary, the connecting line of the lowest points of the same directional corrugated surface is called a groove line.
In one embodiment, the seismic migration imaging process comprises: seismic time-migration imaging processing and seismic depth-migration imaging processing, the migration profiles including time-migration profiles and depth-migration profiles.
It is understood that the inexpensive imaging methods fall into two categories, time-domain and depth-domain, the time-warping technique is based on the generation of a horizontal laminar medium model with weak lateral velocity variations, and the depth-warping technique is based on the development of a true geological depth model with lateral variations, both based on kirchhoff integration, finite difference and Fourier variations.
As is apparent from the above description, the present invention provides a method for determining a anticline structural form based on a seismic migration cross section, which obtains a true anticline structural form by performing seismic migration imaging processing on seismic data including anticlines and synclines and by returning a syncline gyro wave (or a diffracted wave, a cross-sectional wave, and a lateral wave) in accordance with a syncline structure on a generated migration cross section. The method determines that the anticline width on the offset section is reasonable and is matched with the reality, thereby being beneficial to calibrating the size and the shape of the anticline trap, the closing height, the trapping area and the lowest trapping line. And data basis is provided for accurate calculation control and detection of reserves.
To further illustrate the present solution, the present invention provides a specific application example of a method for determining a anticline structure form based on a seismic migration profile by taking a certain block anticline structure as an example, and the specific application example specifically includes the following contents, see fig. 5 and fig. 6.
Here, the rotating wave, the diffracted wave, the cross-sectional wave, the lateral wave, and the like are called special waves (fig. 7), and are often coexisting with the anticline reflected wave, and are special reflection forms of the structural form on the superimposed cross-section, and the actual form and position are greatly different from those of the underground structure, and it is necessary to perform offset homing. Compared with other special wave offset homing, the rotating wave offset becomes syncline, and is one of the criteria for judging whether time offset imaging is good or not. Generally complex high and steep structures, with a "concavo-convex" structure (fig. 8). On the superposition profile (fig. 7), "syncline-anticline" reflections are interrelated, with the gyro reflection curvature being greater than the anticline reflection curvature. The syncline generates a broad rotating wave, and the anticline reflection becomes abnormally broad. On the prestack time-shifted profile (fig. 9), the anticline morphology and width are optimal when the broad gyro wave is shifted to full syncline.
S0: analysis of reflection characteristics of synclines and anticlines.
Referring to fig. 10-13, anticline and syncline reflections are first identified on a seismic section. The main signatures are as follows:
1) energy marking: the syncline reflection energy is focused, and the rotating wave energy is stronger. The anticline reflected energy is diffused, and the reflected rotating wave energy is weaker.
2) The geometrical shape is as follows: the curvature of the back-oblique reflection form on the superimposed section is small, and the curvature of the reflection form of the revolving wave is large.
3) "apparent high point" position: the high point of the gyrocompass (syncline low point) is closer to the large fault than the high point of the anticline.
4) Time marking: generally, the time value of the apparent high point (syncline low point) of the rotating wave is larger than that of the anticline high point.
S1: and (5) returning the rotating wave.
It is understood that the special waves in step S1 include diffracted waves, gyrowaves, and cross-sectional waves, and generally have a complex steep configuration (anticline configuration) and have a "concave-convex" structure reflection. In the horizontal stacking section, "syncline-anticline" reflection is interrelated, and the curvature of reflection of the gyro wave is greater than that of anticline reflection. The syncline generates a broad rotating wave, and the anticline also becomes abnormally broad. On the offset section, when the broad rotating wave is optimally returned and the offset is syncline, the anticline form after the offset is optimal. On a BC measuring line horizontal superposition section of the garage (figure 10), syncline rotating waves develop between TB1 and Tubei TB4 anticline, the rotating waves of the offset section are not returned, and the anticline widths of the offset section TB1 and TB4 are unreasonable (figure 11); on YAC survey line of east part of Sichuan, the fault is laid on the horizontal superposed section (figure 12), the syncline rotating wave develops, the rotating wave of the offset section is well restored (figure 13), and the upper anticline width of the offset section is reasonable.
S2: the special wave is returned.
It is understood that the special waves in step S1 include diffracted waves and cross-sectional waves, and the abnormal waves (diffracted waves and cross-sectional waves) are comprehensively analyzed based on step S1 to determine the plausibility of the anticline morphology. Referring to fig. 14 to 16, on a horizontal stacking section of the LHC structure in eastern sichuan, the development of the rotating wave, the half-branch rotating wave, the diffracted wave and the section wave and the three-dimensional pre-stack time migration all obtain better homing, but the three-dimensional pre-stack depth migration homing has better homing effect, the form is more reasonable, and the steep interface imaging is better, so the anticline width is more reasonable.
S3: and verifying the drilling data.
According to the inspection of drilling hy # data (see fig. 17-18), at the position indicated by an arrow, the steep inclination interface of the prestack time migration profile has aberration, the syncline width is gentle, the corresponding anticline width is about 1500m (fig. 17), the anticline high point is pre-drilled according to the prestack time migration result, and the real drill enters the steep zone; and then, according to the drilling hy # data and the formation dip logging analysis, a speed model is established, prestack depth migration is carried out, the imaging of a section steep dip interface is good, the homing of a rotating wave is good, the syncline reduction imaging is good, the corresponding anticline width is about 800m (figure 18), and the section width is reduced by 700m compared with the prestack time migration section width.
As is apparent from the above description, the present invention provides a method for determining a anticline structural form based on a seismic migration cross section, which obtains a true anticline structural form by performing seismic migration imaging processing on seismic data including anticlines and synclines and by returning a syncline gyro wave (or a diffracted wave, a cross-sectional wave, and a lateral wave) in accordance with a syncline structure on a generated migration cross section. The method determines that the anticline width on the offset section is reasonable and is matched with the reality, thereby being beneficial to calibrating the size and the shape of the anticline trap, the closing height, the trapping area and the lowest trapping line. And data basis is provided for accurate calculation control and detection of reserves.
Based on the same inventive concept, the embodiment of the present application further provides a anticline structure morphology determining apparatus based on a seismic migration profile, which can be used to implement the method described in the above embodiments, such as the following embodiments. Because the principle of solving the problems of the anticline structure form determining device based on the seismic migration profile is similar to that of the anticline structure form determining method based on the seismic migration profile, the implementation of the anticline structure form determining device based on the seismic migration profile can be implemented by referring to the implementation of the anticline structure form determining method based on the seismic migration profile, and repeated details are omitted. As used hereinafter, the term "unit" or "module" may be a combination of software and/or hardware that implements a predetermined function. While the system described in the embodiments below is preferably implemented in software, implementations in hardware, or a combination of software and hardware are also possible and contemplated.
An embodiment of the present invention provides a specific implementation of a anticline structure form determining apparatus based on a seismic migration profile, which can implement a method for determining a anticline structure form based on a seismic migration profile, and with reference to fig. 19, the apparatus for determining a anticline structure form based on a seismic migration profile specifically includes the following:
the seismic data acquisition unit 10 is configured to acquire anticline structure seismic data to be determined, where the anticline structure seismic data at least includes syncline structure seismic data.
And the migration profile generation unit 20 is used for carrying out seismic migration imaging processing on the anticline structure seismic data to generate a migration profile.
A configuration form determining unit 30 for shift-homing the syncline configuration on the shifted section to determine a anticline configuration form.
In one embodiment, referring to fig. 20, the structural configuration determining unit 30 includes:
a gyro wave pickup module 301 for picking up the gyro wave of the syncline configuration on the offset profile;
a homing module 302, configured to home the rotating wave to a preset syncline configuration.
In an embodiment, referring to fig. 21, the structural configuration determining unit 30 further includes:
a syncline data generation module 303, configured to perform homing on the migration profile according to a preset syncline structure form to generate homed syncline structure seismic data;
a configuration form determination module 304, configured to determine the anticline configuration form according to the migration profile and the repositioned syncline configuration seismic data.
In one embodiment, the seismic migration imaging process comprises: seismic time-migration imaging processing and seismic depth-migration imaging processing, the migration profiles including time-migration profiles and depth-migration profiles.
As is apparent from the above description, the present invention provides a anticline structure form determining apparatus based on a seismic migration cross section, which performs seismic migration imaging processing on seismic data including anticlines and synclines, and performs homing of the synclines' rotating waves (or diffracted waves, cross-sectional waves, and side waves) in accordance with the synclines on the generated migration cross section, thereby obtaining a true anticline structure form. The method determines that the anticline width on the offset section is reasonable and is matched with the reality, thereby being beneficial to calibrating the size and the shape of the anticline trap, the closing height, the trapping area and the lowest trapping line. And data basis is provided for accurate calculation control and detection of reserves.
An embodiment of the present application further provides a specific implementation manner of an electronic device capable of implementing all steps in the method for determining a anticline structure form based on a seismic migration profile in the foregoing embodiment, and referring to fig. 22, the electronic device specifically includes the following contents:
a processor (processor)1201, a memory (memory)1202, a communication Interface 1203, and a bus 1204;
the processor 1201, the memory 1202 and the communication interface 1203 complete communication with each other through the bus 1204; the communication interface 1203 is configured to implement information transmission between related devices, such as a server-side device, a pickup device, and a client device.
The processor 1201 is configured to call a computer program in the memory 1202, and the processor executes the computer program to implement all the steps of the method for determining a morphology of a anticline structure based on a seismic migration profile in the above embodiments, for example, the processor executes the computer program to implement the following steps:
step 100: and acquiring anticline structure seismic data to be determined, wherein the anticline structure seismic data at least comprises syncline structure seismic data.
Step 200: and performing seismic migration imaging processing on the anticline structure seismic data to generate a migration profile.
Step 300: and performing offset homing on the syncline structure on the offset section to determine a anticline structure form.
As is apparent from the above description, the electronic device in the embodiment of the present application obtains a true anticline structural form by performing seismic migration imaging processing on seismic data including anticlines and synclines and by returning the synclines of a rotating wave (or a diffracted wave, a cross-sectional wave, and a lateral wave) to the syncline structure on a generated migration cross-section. The method determines that the anticline width on the offset section is reasonable and is matched with the reality, thereby being beneficial to calibrating the size and the shape of the anticline trap, the closing height, the trapping area and the lowest trapping line. And data basis is provided for accurate calculation control and detection of reserves.
Embodiments of the present application also provide a computer-readable storage medium capable of implementing all steps of the method for determining a morphology of a anticline structure based on a seismic migration profile in the above embodiments, where the computer-readable storage medium stores thereon a computer program, and the computer program implements all steps of the method for determining a morphology of a anticline structure based on a seismic migration profile in the above embodiments when executed by a processor, for example, the processor implements the following steps when executing the computer program:
step 100: and acquiring anticline structure seismic data to be determined, wherein the anticline structure seismic data at least comprises syncline structure seismic data.
Step 200: and performing seismic migration imaging processing on the anticline structure seismic data to generate a migration profile.
Step 300: and performing offset homing on the syncline structure on the offset section to determine a anticline structure form.
As is apparent from the above description, the computer-readable storage medium according to the embodiment of the present invention obtains a true anticline structural morphology by performing seismic migration imaging processing on seismic data including anticlines and synclines and restoring the syncline gyro waves (or the diffracted waves, the cross-sectional waves, and the lateral waves) in accordance with the syncline structure on the generated migration cross-section. The method determines that the anticline width on the offset section is reasonable and is matched with the reality, thereby being beneficial to calibrating the size and the shape of the anticline trap, the closing height, the trapping area and the lowest trapping line. And data basis is provided for accurate calculation control and detection of reserves.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the hardware + program class embodiment, since it is substantially similar to the method embodiment, the description is simple, and the relevant points can be referred to the partial description of the method embodiment.
The foregoing description has been directed to specific embodiments of this disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
Although the present application provides method steps as described in an embodiment or flowchart, additional or fewer steps may be included based on conventional or non-inventive efforts. The order of steps recited in the embodiments is merely one manner of performing the steps in a multitude of orders and does not represent the only order of execution. When an actual apparatus or client product executes, it may execute sequentially or in parallel (e.g., in the context of parallel processors or multi-threaded processing) according to the embodiments or methods shown in the figures.
Although embodiments of the present description provide method steps as described in embodiments or flowcharts, more or fewer steps may be included based on conventional or non-inventive means. The order of steps recited in the embodiments is merely one manner of performing the steps in a multitude of orders and does not represent the only order of execution. When an actual apparatus or end product executes, it may execute sequentially or in parallel (e.g., parallel processors or multi-threaded environments, or even distributed data processing environments) according to the method shown in the embodiment or the figures. The terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, the presence of additional identical or equivalent elements in a process, method, article, or apparatus that comprises the recited elements is not excluded.
For convenience of description, the above devices are described as being divided into various modules by functions, and are described separately. Of course, in implementing the embodiments of the present description, the functions of each module may be implemented in one or more software and/or hardware, or a module implementing the same function may be implemented by a combination of multiple sub-modules or sub-units, and the like. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
Those skilled in the art will also appreciate that, in addition to implementing the controller as pure computer readable program code, the same functionality can be implemented by logically programming method steps such that the controller is in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers and the like. Such a controller may therefore be considered as a hardware component, and the means included therein for performing the various functions may also be considered as a structure within the hardware component. Or even means for performing the functions may be regarded as being both a software module for performing the method and a structure within a hardware component.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
As will be appreciated by one skilled in the art, embodiments of the present description may be provided as a method, system, or computer program product. Accordingly, embodiments of the present description may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, embodiments of the present description may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and so forth) having computer-usable program code embodied therein.
The embodiments of this specification may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The described embodiments may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment. In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of an embodiment of the specification. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
The above description is only an example of the embodiments of the present disclosure, and is not intended to limit the embodiments of the present disclosure. Various modifications and variations to the embodiments described herein will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the embodiments of the present specification should be included in the scope of the claims of the embodiments of the present specification.
Claims (10)
1. A method for determining the morphology of a anticline structure based on a seismic migration profile is characterized by comprising the following steps:
acquiring anticline structure seismic data to be determined, wherein the anticline structure seismic data at least comprises syncline structure seismic data;
performing seismic migration imaging processing on the anticline structure seismic data to generate a migration profile;
homing the syncline construct on the offset profile to determine a anticline construct morphology.
2. The method of determining a morphology of a anticline structure as claimed in claim 1, wherein said homing the syncline structure on the offset profile comprises:
picking up the shear wave of the syncline configuration on the offset profile;
and returning the rotating wave to a preset syncline structure form.
3. The method of determining a anticline structure morphology as claimed in claim 2 wherein said homing of said syncline structure on said offset profile to determine a anticline structure morphology further comprises:
homing the rotating waves on the migration section according to a preset syncline structure form to generate the homed syncline structure seismic data;
and determining the anticline structure form according to the migration profile and the repositioned syncline structure seismic data.
4. The method of anticline morphology determination of claim 1 wherein the seismic migration imaging process comprises: seismic time-migration imaging processing and seismic depth-migration imaging processing, the migration profiles including time-migration profiles and depth-migration profiles.
5. A anticline formation morphology determination apparatus based on seismic migration profiles, comprising:
the system comprises a seismic data acquisition unit, a data processing unit and a data processing unit, wherein the seismic data acquisition unit is used for acquiring anticline structure seismic data to be determined, and the anticline structure seismic data at least comprise syncline structure seismic data;
the migration profile generation unit is used for carrying out seismic migration imaging processing on the anticline structure seismic data to generate a migration profile;
a configuration form determination unit for homing the syncline configuration on the offset section to determine a anticline configuration form.
6. The anticline structural form determination device according to claim 5, wherein the structural form determination unit includes:
a gyro wave pickup module for picking up gyro waves of the syncline configuration on the offset profile;
and the homing module is used for homing the rotating wave to a preset syncline structure form.
7. The anticline structure form determining device according to claim 6, wherein the structure form determining unit further includes:
the syncline data generation module is used for homing the rotating waves on the migration section according to a preset syncline structure form so as to generate the homed syncline structure seismic data;
and the structural form determining module is used for determining the anticline structural form according to the migration section and the repositioned syncline structural seismic data.
8. The anticline tectonic form determination device as claimed in claim 5, characterized in that said seismic migration imaging process comprises: seismic time-migration imaging processing and seismic depth-migration imaging processing, the migration profiles including time-migration profiles and depth-migration profiles.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the program performs the steps of the method for determining a morphology of a anticline structure based on seismic migration profiles of any of claims 1 to 4.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method for determining a morphology of a anticline structure based on seismic migration profiles of any one of claims 1 to 4.
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP0442719A2 (en) * | 1990-02-13 | 1991-08-21 | Conoco Inc. | Constant offset migration velocity analysis |
| US20130182538A1 (en) * | 2012-01-12 | 2013-07-18 | Westerngeco L.L.C. | Reverse time migration model dip-guided imaging |
| CN105242318A (en) * | 2015-10-10 | 2016-01-13 | 中国石油天然气股份有限公司 | Method and apparatus for determining a communicating relation of sand bodies |
| US20170176615A1 (en) * | 2014-04-14 | 2017-06-22 | Total Sa | Method for processing seismic images |
| CN108107473A (en) * | 2017-12-12 | 2018-06-01 | 中国石油天然气集团有限公司 | Seismic migration time section constructs the bearing calibration of distortion phenomenon |
| CN109061734A (en) * | 2018-05-24 | 2018-12-21 | 中国石油天然气集团有限公司 | A kind of processing method and processing device of seismic data |
-
2019
- 2019-11-04 CN CN201911065647.1A patent/CN112764101A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP0442719A2 (en) * | 1990-02-13 | 1991-08-21 | Conoco Inc. | Constant offset migration velocity analysis |
| US20130182538A1 (en) * | 2012-01-12 | 2013-07-18 | Westerngeco L.L.C. | Reverse time migration model dip-guided imaging |
| US20170176615A1 (en) * | 2014-04-14 | 2017-06-22 | Total Sa | Method for processing seismic images |
| CN105242318A (en) * | 2015-10-10 | 2016-01-13 | 中国石油天然气股份有限公司 | Method and apparatus for determining a communicating relation of sand bodies |
| CN108107473A (en) * | 2017-12-12 | 2018-06-01 | 中国石油天然气集团有限公司 | Seismic migration time section constructs the bearing calibration of distortion phenomenon |
| CN109061734A (en) * | 2018-05-24 | 2018-12-21 | 中国石油天然气集团有限公司 | A kind of processing method and processing device of seismic data |
Non-Patent Citations (3)
| Title |
|---|
| 梁顺军, 彭更新, 齐英敏, 叶林, 雷刚林, 刘云祥: "山地复杂构造地震成图方法探讨", 石油物探, vol. 42, no. 04, pages 529 - 537 * |
| 肖宇;梁顺军;陈小二;赵园;吴育林;高怀军;王静;李宏伟;: "两步法地震深度成像技术及其应用效果", 中国石油勘探, vol. 18, no. 02, pages 31 - 33 * |
| 顾雯;王铎翰;阎建国;: "Kirchhoff叠前时间偏移关键参数分析与研究", 物探化探计算技术, vol. 33, no. 02, pages 140 - 146 * |
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