CN102621594B - Bedding structure recognition method and system - Google Patents
Bedding structure recognition method and system Download PDFInfo
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- CN102621594B CN102621594B CN201210095243.9A CN201210095243A CN102621594B CN 102621594 B CN102621594 B CN 102621594B CN 201210095243 A CN201210095243 A CN 201210095243A CN 102621594 B CN102621594 B CN 102621594B
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Abstract
The invention discloses bedding structure recognition method and system, which overcome the defects that the traditional bedding structure recognition technology is single and has low reliability. The method comprises the following steps of: obtaining the lamina form combinations of outcrop or core data and the relationship between the lamina and the bed series interface to determine the bedding structure type; obtaining line form combinations in an imaging data image corresponding to the outcrop or core data, and determining the line form combination characteristics of different bedding structure types in the imaging data image; obtaining the inclination angle vector mode reflected by inclination angles and inclination degrees in the inclination degree data corresponding to the outcrop or core data, and determining the inclination degree vector characteristics of different bedding structure types; determining the bedding structure mode according to the line form combination characteristics and the inclination degree vector characteristics of different bedding structure types in the imaging data image by combining the formation cause mechanism of bedding deposition and the lithological type. The invention can provide a basis for the application of imaging and well logging technique and the like.
Description
Technical field
The present invention relates to the recognition technology of bedding structure, relate in particular to a kind of bedding conformation identification method and system.
Background technology
The stratification structure that bedding forms while being the sediment deposition in layer, the key element that forms bedding comprises lamina and series of strata.At present, bedding structure be identified on geology be mainly according to appear or the rock core material object in phenomenon observe identification, on logging well, be mainly to identify according to imaging logging image pattern or dipmeter logging arrow pattern.
The recognition methods of constructing in these two kinds of layers at present all has certain limitation.For down-hole formation, just be difficult to obtain deposition bedding structure while lacking rock core, even there is rock core also can't carry out orientation to rock core.Adopt well-log information identification bedding structure, proved owing to lacking the bedding Geological Mode again, the accuracy of its result is just very limited.
Summary of the invention
Technical matters to be solved by this invention is the defect that recognition technology is single and reliability is lower that overcomes current bedding structure.
In order to solve the problems of the technologies described above, the invention provides a kind of bedding conformation identification method, comprising:
Acquisition is appeared or the laminated forms combination of rock core information and the relation at lamina and series of strata interface are determined the bedding structural type;
Line strip state combination in the imaging data image that acquisition is appeared or rock core information is corresponding, determine the line strip state combination feature of different bedding structural types in the imaging data image;
The dip vector pattern that in the dip information that acquisition is appeared or rock core information is corresponding, inclination angle and tendency size reflect, determine the dip vector feature of different bedding structural types;
Line strip state combination feature according to different bedding structural types in the imaging data image, dip vector feature, in conjunction with genesis mechanism and the lithology type of bedding deposition, determine the bedding structural model.
Wherein, different bedding structural models have reflected the difference of sedimental color, granularity, composition and lithology.
Wherein, the bedding structural model comprises:
Horizontal stratification, wavy bedding, incision template shape diagonal stratification, cut template shape diagonal stratification, trough cross-stratification, block bedding and pinniform diagonal stratification down.
The present invention also provides a kind of bedding conformation identification system, comprising:
The type determination module, appear or the laminated forms combination of rock core information and the relation at lamina and series of strata interface are determined the bedding structural type for acquisition;
Line strip state combination feature determination module, with the type determination module, be connected, appear or the line strip state combination of the imaging data image that rock core information is corresponding for obtaining, to determine the line strip state combination feature of different bedding structural types in the imaging data image;
Dip vector feature determination module, be connected with the type determination module, for dip information inclination angle and the big or small dip vector pattern reflected of tendency that acquisition is appeared or rock core information is corresponding, determines the dip vector feature of different bedding structural types;
The mode decision module, with line strip state combination feature determination module and dip vector feature determination module, be connected, for line strip state combination feature, the dip vector feature at the imaging data image according to different bedding structural types, in conjunction with genesis mechanism and the lithology type of bedding deposition, determine the bedding structural model.
Wherein, the different bedding structural models that the mode decision module is determined have reflected the difference of sedimental color, granularity, composition and lithology.
Wherein, the definite bedding structural model of mode decision module comprises horizontal stratification, wavy bedding, incision template shape diagonal stratification, cuts template shape diagonal stratification, trough cross-stratification, block bedding and pinniform diagonal stratification down.
Compared with prior art, embodiments of the invention combine well-log information and geological theory, set up the comprehensive model of cognition of common bedding structure, can provide foundation for the application of imaging logging techniques, paleocurrent direction analysis, the analysis of thing source and the SEDIMENTARY FACIES ANALYSIS etc. of clastic reservoir rock.
Other features and advantages of the present invention will be set forth in the following description, and, partly from instructions, become apparent, or understand by implementing the present invention.Purpose of the present invention and other advantages can realize and obtain by specifically noted structure in instructions, claims and accompanying drawing.
The accompanying drawing explanation
Fig. 1 is the schematic flow sheet of embodiment of the present invention bedding conformation identification method.
Fig. 2 is the determined 7 kinds of bedding structural models of embodiment of the present invention bedding conformation identification method.
Fig. 3 is the structural representation of embodiment of the present invention bedding conformation identification system.
Embodiment
For making the purpose, technical solutions and advantages of the present invention clearer, hereinafter in connection with accompanying drawing, embodiments of the invention are elaborated.It should be noted that, in the situation that do not conflict, the embodiment in the application and the feature in embodiment be combination in any mutually.
The offshore oilfield drilling cost is high cores lessly, and the deposition bedding tectonic information on stratum can't obtain.And deposition bedding structure is one of core content of sedimentology research, especially significant in SEDIMENTARY FACIES ANALYSIS, the thing source side in the time of can indicating sand body to deposit to paleocurrent to information.Embodiments of the invention combine well-log information and geological theory etc., set up the comprehensive model of cognition of common bedding structure, for SEDIMENTARY FACIES ANALYSIS provides foundation.
As shown in Figure 1, the bedding conformation identification method of the embodiment of the present invention mainly comprises the steps:
Step S110, obtain and to appear or the laminated forms combination of rock core information and the relation at lamina and series of strata interface, definite appearing or the bedding structural type of rock core information;
Step S120, the line strip state combination in the imaging data image that acquisition is appeared or rock core information is corresponding, determine the line strip state combination feature of different bedding structural types in the imaging data image.
Step S130, obtain appear or dip information that rock core information is corresponding in the dip vector pattern that reflects of inclination angle and tendency size, determine the dip vector feature of different bedding structural types.
Step S140, the line strip state combination feature according to different bedding structural types in the imaging data image, dip vector feature, in conjunction with genesis mechanism and the lithology type of bedding deposition, determine the bedding structural model.
7 kinds of bedding structural models that the embodiment of the present invention relates to, belong to flow into because of sedimentary structure, different hydrodynamic force energy conditions forms different bedding structures, and shown along vertical variation by sedimental color, granularity, composition and lithology etc., therefore, can determine genesis mechanism and the type of different beddings according to sedimentary environment and corresponding hydrodynamic condition thereof.
Fig. 2 has provided the signal of determined 7 kinds of bedding structural models in the embodiment of the present invention.In Fig. 2, the N under imaging pattern represents north, and E represents east, and S represents south, and W represents west; 0-90 under the pattern of inclination angle represents the inclination angle angle.
Horizontal stratification (Hb) shows as one group of one group horizontal line substantially parallel with aspect on the imaging data image, shows as green pattern (one group of inclination angle equal and opposite in direction, be inclined to consistent dip vector) on arrow plot.
Wavy bedding (Wb) shows as one group of lines substantially parallel with aspect generally on the imaging data image, and the amplitude difference is little, but orientation is changeful.Show as the angle variation less on arrow plot, orientation comes and go.
Incision template shape diagonal stratification (Pc) shows as sinusoidal curve on the imaging data image, and general top lamina occurrence is basic identical, and the bottom occurrence slows down gradually, and in series of strata, lamina shows that bottom is tangent, top is cut mutually.Showing as top on arrow plot is green pattern, and bottom is blue pattern (one group of inclination angle diminishes gradually, is inclined to consistent dip vector) combination.
Under cut template shape diagonal stratification (Ps) to show as the sinusoidal curve occurrence on the imaging data image basic identical, in series of strata, lamina shows that the end, top cut off, angle of inclination is consistent.Show as green pattern on arrow plot.
Trough cross-stratification (Tc) is that the series of strata group that the sinusoidal curve of a set of different angles shows forms on the imaging data image, it between two series of strata interfaces, is the lamina that cuts off of arc, the sinusoidal curve occurrence difference of different series of strata groups is larger, and last group of sinusoidal curve degraded by latter one group.Show as little red pattern (one group of inclination angle becomes greatly gradually, is inclined to consistent dip vector), blue pattern combination that one group short mode line connects on arrow plot.
Block bedding (Mb) sinusoidal curve on the imaging data image slices does not have rule or can't see sinusoidal curve, shows as mixed and disorderly or blank pattern on arrow plot.
It is contrary that pinniform diagonal stratification (Fc) shows as the occurrence of two adjacent groups lamina series of strata sinusoidal curve on the imaging data image, shows as two prescriptions to contrary dip vector blue pattern on arrow plot.
As shown in Figure 3, the bedding conformation identification system of the embodiment of the present invention mainly comprises type determination module 310, line strip state combination feature determination module 320, dip vector feature determination module 330 and mode decision module 340.
Line strip state combination feature determination module 320, with type determination module 310, be connected, appear or the line strip state combination of the imaging data image that rock core information is corresponding for obtaining, to determine the line strip state combination feature of different bedding structural types in the imaging data image.
Dip vector feature determination module 330, be connected with type determination module 310, for dip information inclination angle and the big or small dip vector pattern reflected of tendency that acquisition is appeared or rock core information is corresponding, determines the dip vector feature of different bedding structural types.
Wherein, the different bedding structural models that mode decision module 340 is determined have reflected the difference of sedimental color, granularity, composition and lithology.
Wherein, the definite bedding structural model of mode decision module 340 comprises horizontal stratification as shown in Figure 2, wavy bedding, incision template shape diagonal stratification, cuts template shape diagonal stratification, trough cross-stratification, block bedding and pinniform diagonal stratification down.
The bedding of the embodiment of the present invention is constructed comprehensive recognition technology by the drilling core graduation imaging data, according to different shape lines array mode in the imaging data image, in conjunction with the dip vector pattern, fully merge imaging logging image morphological feature, dipmeter logging arrow pattern and bedding sedimentary origin mechanism, realized the unification of three kinds of technical methods.Embodiments of the invention have merged the image line bar form families feature of imaging logging, the arrow pattern feature of dipmeter logging and the geologic model that bedding forms, the three-dimensional integrated bedding conformation identification technology of setting up has comprised common bedding structural type, and the credibility of identification achievement is strong and kind is comparatively complete.
Utilize embodiments of the invention, the laminated forms combination that can provide by Image Logging Data and dip information and the response characteristic of dip vector, compare with the bedding tectonic geology pattern in the embodiment of the present invention, thereby determine and judge the type of bedding structure.
Embodiments of the invention can play a significant role aspect the GEOLOGICAL APPLICATION of expanding well-log information, can provide important evidence for paleocurrent direction analysis, the analysis of thing source and the SEDIMENTARY FACIES ANALYSIS etc. of clastic reservoir rock, can, for estimating and studying many complicated reservoirs, can meet the needs of oil field SEDIMENTARY FACIES ANALYSIS.
Although the disclosed embodiment of the present invention as above, the embodiment that described content just adopts for the ease of understanding the present invention, not in order to limit the present invention.Technician in any the technical field of the invention; under the prerequisite that does not break away from the disclosed spirit and scope of the present invention; can do any modification and variation what implement in form and on details; but scope of patent protection of the present invention, still must be as the criterion with the scope that appending claims was defined.
Claims (6)
1. a bedding conformation identification method comprises:
Acquisition is appeared or the laminated forms combination of rock core information and the relation at lamina and series of strata interface, determines the bedding structural type;
Line strip state combination in the imaging data image that acquisition is appeared or rock core information is corresponding, determine the line strip state combination feature of different bedding structural types in the imaging data image;
The dip vector pattern that in the dip information that acquisition is appeared or rock core information is corresponding, inclination angle and tendency size reflect, determine the dip vector feature of different bedding structural types;
Line strip state combination feature according to different bedding structural types in the imaging data image, dip vector feature, in conjunction with genesis mechanism and the lithology type of bedding deposition, determine the bedding structural model.
2. method according to claim 1, wherein:
Different bedding structural models have reflected the difference of sedimental color, granularity, composition and lithology.
3. method according to claim 1, wherein, the bedding structural model comprises:
Horizontal stratification, wavy bedding, incision template shape diagonal stratification, cut template shape diagonal stratification, trough cross-stratification, block bedding and pinniform diagonal stratification down.
4. a bedding conformation identification system comprises:
The type determination module, appear or the laminated forms combination of rock core information and the relation at lamina and series of strata interface for acquisition, determines the bedding structural type;
Line strip state combination feature determination module, with the type determination module, be connected, appear or the line strip state combination of the imaging data image that rock core information is corresponding for obtaining, to determine the line strip state combination feature of different bedding structural types in the imaging data image;
Dip vector feature determination module, be connected with the type determination module, for dip information inclination angle and the big or small dip vector pattern reflected of tendency that acquisition is appeared or rock core information is corresponding, determines the dip vector feature of different bedding structural types;
The mode decision module, with line strip state combination feature determination module and dip vector feature determination module, be connected, for line strip state combination feature, the dip vector feature at the imaging data image according to different bedding structural types, in conjunction with genesis mechanism and the lithology type of bedding deposition, determine the bedding structural model.
5. system according to claim 4, wherein:
The different bedding structural models that the mode decision module is determined have reflected the difference of sedimental color, granularity, composition and lithology.
6. system according to claim 4, wherein:
The definite bedding structural model of mode decision module comprises horizontal stratification, wavy bedding, incision template shape diagonal stratification, cuts template shape diagonal stratification, trough cross-stratification, block bedding and pinniform diagonal stratification down.
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| CN106249314B (en) * | 2014-07-23 | 2018-10-26 | 中国地质大学（北京） | Rich organic matter mud stone section and low organic matter mud stone section division methods |
| CN108956941B (en) * | 2018-06-12 | 2021-07-02 | 中国石油天然气股份有限公司 | Shale bedding recognition method |
| CN112253087A (en) * | 2020-10-20 | 2021-01-22 | 河南理工大学 | Biological disturbance reservoir physical property calculation method based on multi-source logging data |
| CN114359569B (en) | 2022-03-09 | 2022-06-03 | 中国科学院地质与地球物理研究所 | Rock bedding recognition method, device, equipment and storage medium |
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Address after: 100010 Chaoyangmen North Street, Dongcheng District, Dongcheng District, Beijing Co-patentee after: China Oilfield Services Limited Patentee after: China Offshore Oil Group Co., Ltd. Address before: 100010 Chaoyangmen North Street, Dongcheng District, Dongcheng District, Beijing Co-patentee before: China Oilfield Services Limited Patentee before: China National Offshore Oil Corporation |