CN107340541A - A kind of pre-stack depth migration velocity modeling method and its pip method for optimizing - Google Patents
A kind of pre-stack depth migration velocity modeling method and its pip method for optimizing Download PDFInfo
- Publication number
- CN107340541A CN107340541A CN201710557094.6A CN201710557094A CN107340541A CN 107340541 A CN107340541 A CN 107340541A CN 201710557094 A CN201710557094 A CN 201710557094A CN 107340541 A CN107340541 A CN 107340541A
- Authority
- CN
- China
- Prior art keywords
- reflection
- chromatographic
- point
- reflection point
- points
- 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
- 238000000034 method Methods 0.000 title claims abstract description 65
- 230000005012 migration Effects 0.000 title claims abstract description 42
- 238000013508 migration Methods 0.000 title claims abstract description 42
- 238000003325 tomography Methods 0.000 claims abstract description 28
- 238000004587 chromatography analysis Methods 0.000 claims abstract description 14
- 238000005457 optimization Methods 0.000 claims description 11
- 238000004454 trace mineral analysis Methods 0.000 claims description 3
- 238000004458 analytical method Methods 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 230000015572 biosynthetic process Effects 0.000 description 1
- 239000012504 chromatography matrix Substances 0.000 description 1
- 230000001427 coherent effect Effects 0.000 description 1
- 230000009918 complex formation Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000005755 formation reaction Methods 0.000 description 1
- 238000009499 grossing Methods 0.000 description 1
- 238000003384 imaging method Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000003208 petroleum Substances 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. for interpretation or for event detection
- G01V1/30—Analysis
- G01V1/306—Analysis for determining physical properties of the subsurface, e.g. impedance, porosity or attenuation profiles
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V2210/00—Details of seismic processing or analysis
- G01V2210/60—Analysis
- G01V2210/62—Physical property of subsurface
- G01V2210/624—Reservoir parameters
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V2210/00—Details of seismic processing or analysis
- G01V2210/60—Analysis
- G01V2210/66—Subsurface modeling
Landscapes
- Engineering & Computer Science (AREA)
- Remote Sensing (AREA)
- Physics & Mathematics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Acoustics & Sound (AREA)
- Environmental & Geological Engineering (AREA)
- Geology (AREA)
- General Life Sciences & Earth Sciences (AREA)
- General Physics & Mathematics (AREA)
- Geophysics (AREA)
- Geophysics And Detection Of Objects (AREA)
Abstract
The invention provides a kind of pre-stack depth migration velocity modeling method and pip method for optimizing.The pip method for optimizing includes：The structure dip of subsurface reflection point is obtained, forms dip section；Point of the pickup with residual move out time on offset gather；It on the spot projection with residual move out time picked up to the dip section, will obtain chromatographing pip；Along dip section direction, the chromatography pip for the inclination direction minimum for deviateing upper chromatography pip is chosen successively as preferable chromatography pip.The pre-stack depth migration velocity modeling method is included in during pre-stack depth migration velocity modeling, and suitable pip is determined using pip method for optimizing in seismic reflection tomography as described above.The present invention accurately efficiently preferably can go out to chromatograph pip, the distribution of control pip on the whole, enhance the distribution rationality of chromatography pip.
Description
Technical Field
The invention relates to the field of petroleum seismic exploration, in particular to a method for optimizing a reflection point in seismic reflection chromatography and a prestack depth migration velocity modeling method.
Background
In areas of complex formation, pre-stack depth migration helps to improve the imaging of subsurface formations. However, the prestack depth migration requires a relatively accurate velocity field, and in most cases, the velocity field required for migration needs to be estimated using reflection tomography. Reflection tomography is the estimation of the physical parameter distribution of the subsurface medium by using reflection information in seismic data, and is generally used for estimating velocity information; the reflection chromatography has two different implementation modes of layer control chromatography and grid chromatography.
By adopting the grid chromatography technology, the computer automatically analyzes the residual time difference in the offset channel set, the work of artificially picking up reflection points can be reduced, and the efficiency of depth domain speed modeling is improved. In the process of automatically analyzing the residual time difference by a computer, as long as a point of the residual time difference exists, a reflection point exists from the projection of the offset gather to the velocity space, so that excessive reflection points are caused, the chromatography equation is excessively huge, and the difficulty in solving is brought; at the same time, the wrong reflection point will introduce wrong information into the chromatography matrix.
In order to optimize the tomographic reflection points, a reliability judgment of the tomographic reflection points is necessarily introduced. The conventional reliability judgment is based on the energy value in the offset gather, namely the gather superposition energy value at the residual time difference is picked up to be used as the basis of the reliability of the reflection point. The method can screen a part of reflection points with weak energy in the same direction and axis to a certain extent, but does not restrict the overall distribution of the reflection points.
Disclosure of Invention
In view of the deficiencies in the prior art, it is an object of the present invention to address one or more of the problems in the prior art as set forth above. For example, one of the objectives of the present invention is to provide a reflection point optimization method in seismic reflection tomography, which optimizes continuous reflection points conforming to geological structures through the guidance of the dip angle of underground structures.
In order to achieve the purpose, the invention provides a reflection point optimization method in seismic reflection tomography. The preferred method of reflection point comprises the steps of: forming a dip profile; picking points with residual moveout on the offset gathers; projecting the picked points with residual time difference onto the dip angle profile to obtain chromatographic reflection points; and sequentially selecting the chromatographic reflection point with the smallest inclination angle direction deviating from the last chromatographic reflection point along the inclination angle section direction as the preferred chromatographic reflection point.
According to the reflection point optimization method in seismic reflection tomography of the exemplary embodiment of the invention, the step of selecting the optimal tomography reflection point may include: and determining an included angle between a connecting line of the last chromatographic reflection point and the adjacent chromatographic reflection point to be optimized and a horizontal line along the section direction of the inclination angle, and selecting the chromatographic reflection point with the minimum included angle from a plurality of chromatographic reflection points adjacent to the last reflection point as the optimized chromatographic reflection point.
According to the preferred method for reflecting points in seismic reflection tomography, the distance between the last reflecting point and a plurality of tomography reflecting points adjacent to the last reflecting point can be not more than 100-200 m.
According to the reflection point optimization method in seismic reflection tomography, the dip profile is formed by acquiring the constructed dip of the subsurface reflection points.
According to the reflection point optimization method in seismic reflection tomography, a scanning method based on coherence, a scanning method based on complex seismic channel analysis or a method based on gradient structure tensor can be adopted to obtain the construction inclination angle of the underground reflection point.
In another aspect, the invention provides a method for modeling prestack depth migration velocity. The method for modeling the prestack depth migration velocity comprises the following steps: in the pre-stack depth migration velocity modeling process, reflection points are preferred using the reflection point preferred method in seismic reflection tomography as described above.
A method of pre-stack depth migration velocity modeling in accordance with an exemplary embodiment of the present invention may include the steps of: (A1) carrying out prestack depth migration on the prestack depth migration speed model, and outputting a migration distance gather; (A2) judging whether the offset gather reaches a preset leveling degree or not; (A3) if the offset gather does not reach the preset leveling degree, the step of optimizing the chromatographic reflection point is carried out; (A4) performing reflection ray tracing on the preferred reflection point; (A5) establishing a reflection chromatography equation and solving; (A6) updating a pre-stack depth migration velocity model according to the solution of the chromatographic equation; (A7) and repeating the steps (A1) to (A6) until the offset gather reaches a preset leveling degree. Wherein the prestack depth migration initial velocity model may be established from the prestack time migration velocity model.
Compared with the prior art, the method can accurately and efficiently select the chromatographic reflection points, integrally control the distribution of the reflection points and enhance the distribution rationality of the chromatographic reflection points.
Drawings
The above and other objects and features of the present invention will become more apparent from the following description taken in conjunction with the accompanying drawings, in which:
FIG. 1 shows a schematic diagram of a preferred method of reflection points in seismic reflection tomography, according to an exemplary embodiment of the invention.
Detailed Description
Hereinafter, a preferred method of reflection points in seismic reflection tomography of the present invention will be described in detail with reference to the accompanying drawings and exemplary embodiments.
The invention provides a method for optimizing reflection points in seismic reflection chromatography, which optimizes continuous reflection points according with geological structures through underground structure inclination angles.
A preferred method of reflection points in seismic reflection tomography according to an exemplary embodiment of the present invention may include the steps of:
A. and acquiring the structural inclination angle of the underground reflection point through a correlation algorithm (such as an inclination angle scanning method) to form an inclination angle profile.
Wherein, the correlation algorithm may include a tilt angle scanning method, and the conventional tilt angle scanning method may include: a scanning method based on coherence, a scanning method based on complex seismic trace analysis or a method based on gradient structure tensor, preferably a scanning method based on coherence. The scanning method based on the complex seismic trace analysis and the method based on the gradient structure tensor are not widely applied due to the limitation of the scanning precision. The similarity-based scanning method is used and developed by most people with its high computational accuracy. The calculation method comprises the steps of performing dip angle scanning along two-dimensional seismic survey lines, abstracting a three-dimensional curved surface to two dimensions for dip angle estimation, and obtaining dip angle data which are in a strip shape and are not accurate enough; finn (1986) proposed the definition of the dip and azimuth angles in three dimensions and practiced in two dimensions; marfurt (1998, 2000) proposes a three-dimensional similarity-based dip scanning method, which, in agreement with the C2 algorithm in the coherent attribute, mentions the algorithms of Finn and Backus (1986) in a true three-dimensional sense; as the algorithm adopts a central scanning window, a smoothing effect exists on the structures at two sides of an analysis point during calculation, in order to improve the point, Marfurt (2006) provides a multi-window scanning mode, and the method can relatively accurately scan the change of the dip angle at two sides of a fault as a robust dip angle and azimuth angle estimation method.
B. Points with residual time difference (RMO) are picked on the offset gathers. Wherein the position information of the picked-up points with the residual time difference has an application in the following.
C. The picked-up points with residual moveout (also called picked-up points) are projected onto the tilt profile.
In this step, the picked points with residual moveout on the offset gathers are projected onto the dip profile to obtain tomographic reflection points.
D. And sequentially selecting the chromatographic reflection point with the smallest inclination angle direction deviating from the last chromatographic reflection point along the inclination angle section direction as the preferred chromatographic reflection point.
The picked points (tomographic reflection points) are screened along the direction of the dip profile. The selection of the adjacent point (i.e. the chromatographic reflection point) can be judged according to the inclination angle direction, specifically, the principle of selecting the selection points is that the inclination angle direction deviating from the last reflection point is the smallest, namely, the chromatographic reflection point deviating from the inclination angle direction of the last chromatographic reflection point is selected as the preferred chromatographic reflection point from the chromatographic reflection points adjacent to the last chromatographic reflection point to be preferred. Here, the selection of the adjacent reflection points may be determined according to the distance, for example, the points which are not more than 100-200 meters away from the previous horizon reflection point, but the invention is not limited thereto, and the adjacent horizon reflection points may be determined in other manners as required.
Wherein, the dip profile has a value at each position, that is, each tomographic reflection point on the dip profile has a structural dip value. The tilt direction refers to a direction along the value of the tilt of the position having the remaining time difference point, i.e. along the tilt, e.g. a tilt of 20 ° at a point, the tilt direction is a direction forming 20 ° from said point and the horizontal plane.
In this embodiment, the step of selecting the preferred tomographic reflection point comprises: and determining an included angle between a connecting line of the last chromatographic reflection point and the adjacent chromatographic reflection point to be optimized and a horizontal line along the section direction of the inclination angle, and selecting the chromatographic reflection point with the minimum included angle from a plurality of chromatographic reflection points adjacent to the last reflection point as the optimized chromatographic reflection point.
As shown in FIG. 1, point p is a selected tomographic reflection point, and is preferably selected from points a, b, c, d, and e adjacent to point p, wherein the structural inclination angle θ of point p is 30 °, and the included angle between point a and point p is 30 °ap(i.e., the angle between the line connecting point p and point a and the horizontal) is 51 DEG, and the angle between point b and point p is 51 DEGbpIs 38 DEG, and the angle between point c and point pcpIs 32 DEG, and the angle between the point d and the point p isdpIs 18 DEG, the angle between point e and point pepIs-23 deg. Wherein,cpthe difference from θ is minimal, so point c is the point chosen along the direction of the build slope, and the remaining points a, b, d and e are the rejected points.
It should be noted that, in the present invention, the preferred reflection point is obtained by selecting the angle with the closest angle to the structure inclination angle, and if two or more angles are the same and both angles are the closest angle to the structure inclination angle, then selecting the tomographic reflection point with the closest distance to the reflection point.
According to another aspect of the invention, a method for modeling prestack depth migration velocity is provided, and in the prestack depth migration velocity modeling process, a method for optimizing reflection points in seismic reflection tomography is adopted to determine appropriate reflection points.
In an exemplary embodiment, the prestack depth velocity migration modeling method according to the present invention may include the steps of:
(A1) and carrying out prestack depth migration on the prestack depth migration speed model, and outputting a migration distance gather.
(A2) And judging whether the offset gather reaches a preset leveling degree.
(A3) And if the offset gather does not reach the preset leveling degree, adopting the method for optimizing the reflection point in the seismic reflection tomography to optimize the reflection point, and determining a reasonable reflection point.
(A4) And performing reflection ray tracing on the preferred reflection point. Specifically, a preferred reflection point is used as a ray tracing point, the previous round of prestack time migration velocity model is used as a ray tracing model, and reflection ray tracing is carried out; the first round of prestack time migration velocity model is a ground prestack depth migration initial velocity model established according to the prestack time migration velocity model.
(A5) And establishing a reflection chromatography equation and solving.
(A6) And updating the prestack depth migration velocity model according to the solution of the chromatographic equation.
(A7) And repeating the steps (A1) to (A6) until the offset gather reaches a preset leveling degree. The preset leveling degree may be a reasonable leveling degree value determined according to actual needs, for example, leveling all offset gathers.
In conclusion, according to the reflection point optimization method in seismic reflection tomography, the distribution of the reflection points is controlled integrally by constructing dip angle optimization tomography reflection points, the distribution rationality of the tomography reflection points is enhanced, and a better application effect is obtained in prestack depth migration modeling.
Although the present invention has been described above in connection with exemplary embodiments, it will be apparent to those skilled in the art that various modifications and changes may be made to the exemplary embodiments of the present invention without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (8)
1. A reflection point optimization method in seismic reflection tomography is characterized by comprising the following steps:
forming a dip profile;
picking points with residual moveout on the offset gathers;
projecting the picked points with residual time difference onto the dip angle profile to obtain chromatographic reflection points;
and sequentially selecting the chromatographic reflection point with the smallest inclination angle direction deviating from the last chromatographic reflection point along the inclination angle section direction as the preferred chromatographic reflection point.
2. The method for selecting reflection points in seismic reflection tomography according to claim 1, wherein the step of selecting preferred tomography reflection points comprises:
and determining an included angle between a connecting line of the last chromatographic reflection point and the adjacent chromatographic reflection point to be optimized and a horizontal line along the section direction of the inclination angle, and selecting the chromatographic reflection point with the minimum included angle from a plurality of chromatographic reflection points adjacent to the last reflection point as the optimized chromatographic reflection point.
3. The method for optimizing reflection points in seismic reflection tomography according to claim 2, wherein the distance between the last reflection point and a plurality of tomography reflection points adjacent to the last reflection point is not more than 100-200 m.
4. The method for reflecting point selection in seismic reflection tomography according to claim 1, wherein the dip profile is formed by obtaining a constructed dip of subsurface reflecting points.
5. The reflection point optimization method in seismic reflection tomography according to claim 4, wherein the constructed dip angle of the subsurface reflection point is obtained by a scanning method based on coherence, a scanning method based on complex seismic trace analysis or a method based on gradient structure tensor.
6. A method for modeling prestack depth migration velocity, characterized in that during the prestack depth migration velocity modeling, tomographic reflection points are optimized by using the reflection point optimization method in seismic reflection tomography according to any one of claims 1 to 5.
7. The method of modeling prestack depth migration velocity according to claim 6, characterized in that the method of modeling prestack depth migration velocity includes the steps of:
(A1) carrying out prestack depth migration on the prestack depth migration speed model, and outputting a migration distance gather;
(A2) judging whether the offset gather reaches a preset leveling degree or not;
(A3) if the offset gather does not reach the preset leveling degree, the step of optimizing the chromatographic reflection point is carried out;
(A4) performing reflection ray tracing on the preferred reflection point;
(A5) establishing a reflection chromatography equation and solving;
(A6) updating a pre-stack depth migration velocity model according to the solution of the chromatographic equation;
(A7) and repeating the steps (A1) to (A6) until the offset gather reaches a preset leveling degree.
8. The method of modeling prestack depth migration velocity according to claim 7, characterized in that the prestack depth migration initial velocity model is built from the prestack time migration velocity model.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710557094.6A CN107340541A (en) | 2017-07-10 | 2017-07-10 | A kind of pre-stack depth migration velocity modeling method and its pip method for optimizing |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710557094.6A CN107340541A (en) | 2017-07-10 | 2017-07-10 | A kind of pre-stack depth migration velocity modeling method and its pip method for optimizing |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN107340541A true CN107340541A (en) | 2017-11-10 |
Family
ID=60218630
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710557094.6A Pending CN107340541A (en) | 2017-07-10 | 2017-07-10 | A kind of pre-stack depth migration velocity modeling method and its pip method for optimizing |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107340541A (en) |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113219534A (en) * | 2021-05-18 | 2021-08-06 | 中海石油(中国)有限公司深圳分公司 | Pre-stack depth migration speed quality control method, device, medium and electronic equipment |
| CN114185086A (en) * | 2020-09-14 | 2022-03-15 | 中国石油化工股份有限公司 | Method and device for calculating spatial position of reflection imaging point, electronic equipment and medium |
| CN115657119A (en) * | 2022-09-30 | 2023-01-31 | 同济大学 | Markov decision process-based residual time difference picking method and device |
| RU2794968C1 (en) * | 2019-05-15 | 2023-04-26 | Сауди Арабиан Ойл Компани | Simulation of seismic velocities |
| US11994639B2 (en) | 2019-05-15 | 2024-05-28 | Saudi Arabian Oil Company | Seismic velocity modeling |
| US12123994B2 (en) | 2019-07-31 | 2024-10-22 | Saudi Arabian Oil Company | Enhancement of seismic data |
| US12123993B2 (en) | 2019-07-31 | 2024-10-22 | Saudi Arabian Oil Company | Enhancement of seismic data |
| US12196904B2 (en) | 2019-07-31 | 2025-01-14 | Saudi Arabian Oil Company | Enhancement of seismic data |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101630016A (en) * | 2008-07-16 | 2010-01-20 | 中国石油天然气集团公司 | Method for improving imaging quality of vertical seismic profile |
| CN102565853A (en) * | 2011-12-20 | 2012-07-11 | 中国石油集团川庆钻探工程有限公司地球物理勘探公司 | Method for modeling velocity model of geologic structure |
| CN103076628A (en) * | 2011-10-26 | 2013-05-01 | 中国石油化工股份有限公司 | Method for processing pre-stack time migration with optimized aperture |
| CN104268412A (en) * | 2014-09-29 | 2015-01-07 | 中国石油天然气股份有限公司 | Angle gather ray chromatography migration velocity analysis method and device |
| CN106896408A (en) * | 2017-03-23 | 2017-06-27 | 中国石油天然气股份有限公司 | Angle domain pre-stack time migration method |
-
2017
- 2017-07-10 CN CN201710557094.6A patent/CN107340541A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101630016A (en) * | 2008-07-16 | 2010-01-20 | 中国石油天然气集团公司 | Method for improving imaging quality of vertical seismic profile |
| CN103076628A (en) * | 2011-10-26 | 2013-05-01 | 中国石油化工股份有限公司 | Method for processing pre-stack time migration with optimized aperture |
| CN102565853A (en) * | 2011-12-20 | 2012-07-11 | 中国石油集团川庆钻探工程有限公司地球物理勘探公司 | Method for modeling velocity model of geologic structure |
| CN104268412A (en) * | 2014-09-29 | 2015-01-07 | 中国石油天然气股份有限公司 | Angle gather ray chromatography migration velocity analysis method and device |
| CN106896408A (en) * | 2017-03-23 | 2017-06-27 | 中国石油天然气股份有限公司 | Angle domain pre-stack time migration method |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| RU2794968C1 (en) * | 2019-05-15 | 2023-04-26 | Сауди Арабиан Ойл Компани | Simulation of seismic velocities |
| US11994639B2 (en) | 2019-05-15 | 2024-05-28 | Saudi Arabian Oil Company | Seismic velocity modeling |
| US12123994B2 (en) | 2019-07-31 | 2024-10-22 | Saudi Arabian Oil Company | Enhancement of seismic data |
| US12123993B2 (en) | 2019-07-31 | 2024-10-22 | Saudi Arabian Oil Company | Enhancement of seismic data |
| US12196904B2 (en) | 2019-07-31 | 2025-01-14 | Saudi Arabian Oil Company | Enhancement of seismic data |
| CN114185086A (en) * | 2020-09-14 | 2022-03-15 | 中国石油化工股份有限公司 | Method and device for calculating spatial position of reflection imaging point, electronic equipment and medium |
| CN113219534A (en) * | 2021-05-18 | 2021-08-06 | 中海石油(中国)有限公司深圳分公司 | Pre-stack depth migration speed quality control method, device, medium and electronic equipment |
| CN113219534B (en) * | 2021-05-18 | 2023-10-20 | 中海石油(中国)有限公司深圳分公司 | Pre-stack depth migration speed quality control method and device, medium and electronic equipment |
| CN115657119A (en) * | 2022-09-30 | 2023-01-31 | 同济大学 | Markov decision process-based residual time difference picking method and device |
| CN115657119B (en) * | 2022-09-30 | 2025-01-28 | 同济大学 | A method and device for picking up residual time difference based on Markov decision process |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107340541A (en) | A kind of pre-stack depth migration velocity modeling method and its pip method for optimizing | |
| US8666668B2 (en) | Multiple anisotropic parameter inversion for a TTI earth model using well data | |
| CN108072892B (en) | Automatic geological structure constraint chromatography inversion method | |
| US9671512B2 (en) | Inversion-based reflector dip estimation | |
| CN109884700B (en) | Multi-information fusion seismic velocity modeling method | |
| CN111123359B (en) | Surrounding well seismic imaging detection method and device based on logging while drilling and stratigraphic framework constraints | |
| CN104884974A (en) | System and method for depth conversion of 3D seismic data using artificial neural network | |
| US10359524B2 (en) | Interactive salt model modification | |
| US20120320712A1 (en) | Dip seismic attribute | |
| US10387583B2 (en) | Rotations from gradient directions | |
| CN114542056A (en) | Rapid construction method and device for horizontal well stratum interpretation model | |
| CN104614762B (en) | Loose sandstone gas reservoir boundary determining method and device | |
| CN109581521B (en) | Local chromatographic method and system for TTI anisotropy | |
| WO2023043476A1 (en) | Formation evaluation based on seismic horizon mapping with multi-scale optimization | |
| CN109975869B (en) | Reflection wave waveform inversion method for smooth constraint along stratum trend | |
| CN109031411B (en) | Gaussian beam offset imaging method and system based on vertical seismic profiling (VSP) data | |
| US9784865B2 (en) | System and method for estimating lateral positioning uncertainties of a seismic image | |
| CN115144899B (en) | Rugged seabed OBN elastic wave combined deflection imaging method and device | |
| US20190378343A1 (en) | 3d structural restoration of a geological setting | |
| US11255993B2 (en) | Variable aperture estimation using bottom-up ray tracing | |
| CN106597536A (en) | Processing method and device for seismic imaging | |
| CN106896402B (en) | Seismic forward method and device based on geologic element body | |
| CN114442155A (en) | Three-dimensional seismic velocity model fusion method and system based on geological constraints | |
| CN109212607B (en) | Method and system for optimizing imaging quality of target in undulating surface area | |
| US20240111067A1 (en) | Faulted seismic horizon mapping |
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 | ||
| CB02 | Change of applicant information | ||
| CB02 | Change of applicant information |
Address after: No. 216, No. 216, Huayang Avenue, Tianfu New District, Sichuan, Sichuan Applicant after: GEOPHYSICAL EXPLORATION COMPANY OF CNPC CHUANQING DRILLING ENGINEERING Co.,Ltd. Address before: 610213 No. 1, No. 1, No. 1, Huayang Avenue, Huayang Town, Shuangliu County, Chengdu, Sichuan Applicant before: GEOPHYSICAL EXPLORATION COMPANY OF CNPC CHUANQING DRILLING ENGINEERING Co.,Ltd. |
|
| TA01 | Transfer of patent application right | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20180330 Address after: No. 189, fan Yangxi Road, Zhuozhou City, Baoding, Hebei Applicant after: BGP INC., CHINA NATIONAL PETROLEUM Corp. Address before: No. 216, No. 216, Huayang Avenue, Tianfu New District, Sichuan, Sichuan Applicant before: GEOPHYSICAL EXPLORATION COMPANY OF CNPC CHUANQING DRILLING ENGINEERING Co.,Ltd. |
|
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20171110 |