CN107356970B - High-precision well seismic data matching method - Google Patents
High-precision well seismic data matching method Download PDFInfo
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- CN107356970B CN107356970B CN201710813844.1A CN201710813844A CN107356970B CN 107356970 B CN107356970 B CN 107356970B CN 201710813844 A CN201710813844 A CN 201710813844A CN 107356970 B CN107356970 B CN 107356970B
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- 238000000034 method Methods 0.000 title claims abstract description 11
- 238000010801 machine learning Methods 0.000 claims abstract description 6
- 238000006243 chemical reaction Methods 0.000 claims description 6
- 238000013500 data storage Methods 0.000 claims description 2
- 230000002194 synthesizing effect Effects 0.000 claims description 2
- 238000012935 Averaging Methods 0.000 claims 1
- 238000010586 diagram Methods 0.000 description 4
- 238000005070 sampling Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
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- 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
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V1/00—Seismology; Seismic or acoustic prospecting or detecting
- G01V1/40—Seismology; Seismic or acoustic prospecting or detecting specially adapted for well-logging
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- 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
- G01V2210/61—Analysis by combining or comparing a seismic data set with other data
- G01V2210/616—Data from specific type of measurement
- G01V2210/6169—Data from specific type of measurement using well-logging
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Abstract
The invention discloses a high-precision well-seismic matching method which is characterized in that the well data content corresponding to a seismic grid with the minimum resolution can be accurately matched and subjected to reservoir marking, high-precision well-seismic combined data matching is realized, and the number and the position of the well data corresponding to one seismic grid can be confirmed; the high-precision seismic grid data label is realized, the reservoir and non-reservoir are not represented by 0,1, and the reservoir label of the seismic grid is floating point type data in the range of [0,1], so that accurate sample point support can be provided for machine learning.
Description
Technical Field
The invention belongs to the field of geophysical exploration and the field of machine learning, and particularly relates to a high-precision well seismic data matching method.
Background
As the seismic exploration and the well logging are different in principle and method, the seismic data reflect the information of the stratum in the transverse direction and the longitudinal direction by utilizing the advantage of plane dense acquisition, but the longitudinal resolution is lower, and the longitudinal resolution of the well data is high but the transverse resolution is low. The conventional well-seismic multi-scale matching processing method gives the matching condition of certain position depth and time by using time-depth conversion, or reduces the resolution of well data to achieve multi-scale matching, is not accurate to the matching of seismic grids and high-precision well data, and also causes the problem that whether a sample point is a data label of a reservoir layer or not is difficult to determine during machine learning.
Disclosure of Invention
In order to overcome the defects of the existing well-seismic matching technology, the invention provides a high-precision well-seismic data matching method, which can be used for accurately matching the well data content corresponding to the seismic grid with the minimum resolution and marking the reservoir stratum.
In order to achieve the purpose, the technical scheme of the invention is as follows: after the borehole position and the well side seismic data are determined, matching of well seismic data horizons is determined through time depth matching. Then, aiming at the small layer without accurate matching, the well data corresponding to one seismic grid is obtained by evenly dividing the well data in the small layer, namely dividing the number of the well sampling points in the small layer by the number of the seismic grids, so that one seismic grid can correspond to a plurality of well sampling point data. Meanwhile, whether one seismic grid point is a label of the reservoir can be calculated by dividing the number of well data of the reservoir in the corresponding well data by the number of well data corresponding to the seismic grid.
The invention has the beneficial effects that: high-precision well-seismic combined data matching is realized, and the number and the position of well data corresponding to one seismic grid can be determined; the high-precision seismic grid data label is realized, the reservoir and non-reservoir are not represented by 0,1, the reservoir label of the seismic grid is floating point type data within the range of [0,1], and accurate sample point support can be provided for machine learning.
Drawings
FIG. 1 is a data flow diagram of the present invention
FIG. 2 is a data structure diagram of the present invention
In the upper diagram: 11. seismic data, 12 well data, 13 achievement data, 14 well-seismic combined data volume, 15 reservoir marks, 16 seismic grid attribute values, 17 well data and 21 well-seismic combined data specification.
Detailed Description
FIG. 1 is a flow chart of high-precision well seismic data matching data of the present invention, and the matching method is divided into four stages, specifically including:
A. time-depth conversion of well seismic data: the method carries out preliminary matching on the seismic data 11 and the well data 12 through artificially synthesizing seismic records to obtain partial matching points of the well data and the well-side seismic data.
B. High-precision matching of well seismic data: according to the method, partial well seismic data matching points are obtained after time-depth conversion in the step A, and well seismic data which are not matched in the connected matching points are averaged by taking seismic data resolution as a main mode, so that well data of which one seismic grid point is matched with multiple depths are obtained.
C. Seismic grid marking: the invention obtains well seismic data matched with high precision through B, and the reservoir mark of each seismic grid is calculated by dividing the number of well data of the reservoir in the well data corresponding to the seismic grid by the number of well data corresponding to the seismic grid. In addition, the existing achievement data 13 is imported into the seismic data body, so that a well-seismic combined data body 14 matched with high precision is obtained. The reservoir label of the seismic grid is floating point type data in a [0,1] range, and can provide better sample point support for machine learning.
D. Data storage and query: according to the invention, the well-seismic combined data volume 14 is obtained through C, and is stored according to the well-seismic combined data specification 21, so that the reservoir marks 15, the seismic attribute values 16 and the well data 17 in the seismic grid can be effectively inquired.
FIG. 2 is a data structure diagram of the present invention, where a seismic data 11 is matched to a plurality of well data 12 in a well-seismic data set specification 21, the matching method being accurate for each seismic grid's well data as compared to the original time-depth conversion.
The foregoing is only a preferred embodiment of this invention and any person skilled in the art may use the above-described solutions to modify or change the same into equivalent embodiments with equivalent variations. Any simple modification, change or amendment to the above-mentioned embodiments according to the technical solutions of the present invention without departing from the technical solutions of the present invention belong to the protection scope of the technical solutions of the present invention.
Claims (1)
1. A high-precision well seismic data matching method is characterized by comprising the following steps:
A. time-depth conversion of well seismic data:
performing primary matching on the seismic data and the well data through artificially synthesizing seismic records to obtain partial matching points of the well data and the well-side seismic data;
B. high-precision matching of well seismic data:
obtaining partial well seismic data matching points after time-depth conversion in the step A, and averaging well seismic data which are not matched in the connected matching points by taking seismic data resolution as a main point, thereby obtaining well data of which one seismic grid point is matched with a plurality of depths;
C. seismic grid marking:
obtaining high-precision matched well-seismic data through B, wherein the reservoir label of each seismic grid is calculated by dividing the number of the well data of the reservoir in the well data corresponding to the seismic grid by the number of the well data corresponding to the seismic grid, in addition, the existing achievement data is led into a seismic data body, so that a high-precision matched well-seismic combined data body is obtained, the reservoir label of the seismic grid is floating point type data within the range of [0,1], and better sample point support can be provided for machine learning;
D. data storage and query: and obtaining a well-seismic combined data volume through the C, wherein the well-seismic combined data volume is stored according to the well-seismic combined data specification, and reservoir marks, seismic attribute values and well data in a seismic grid can be inquired.
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| CN110927796A (en) * | 2018-09-20 | 2020-03-27 | 中国石油化工股份有限公司 | Method for improving time-depth conversion precision of seismic data |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| WO2004008388A1 (en) * | 2002-07-12 | 2004-01-22 | Chroma Energy, Inc. | Pattern recognition template application applied to oil exploration and production |
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| CN103675904B (en) * | 2012-09-10 | 2016-08-17 | 中国石油集团东方地球物理勘探有限责任公司 | Explanatory target processing method and processing device is mated in a kind of well shake |
| CN103901478B (en) * | 2012-12-28 | 2016-09-07 | 中国石油天然气集团公司 | The method that a kind of well shake information consolidation determines Reservoir Depositional Characteristics and distribution |
| CN103969682B (en) * | 2013-01-28 | 2016-08-17 | 中国石油集团东方地球物理勘探有限责任公司 | A kind of brill well-log information Matching Method of Depth and system |
| CN106610505B (en) * | 2016-12-29 | 2019-03-22 | 中国石油大学(华东) | One kind shaking material matches method based on the united well of DTW and ABA |
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| WO2004008388A1 (en) * | 2002-07-12 | 2004-01-22 | Chroma Energy, Inc. | Pattern recognition template application applied to oil exploration and production |
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