The analytical approach of granularity in conglomerate core particle structure
Technical field
The present invention relates to oil and gas exploration and development field, particularly the analytical approach of granularity in a kind of conglomerate core particle structure.
Background technology
The petroclastic rock structure refers to characteristics and the mutual relationship of each structural constituent in petroclastic rock, comprises grain pattern, assorted base and cementing matter structure, pore texture, detrital grain and assorted base and cementing matter Relations Among.The petroclastic rock grain pattern comprises granularity, circularity, sphericity, shape, sorting and grain surface texture.Grain size characteristic in the petroclastic rock grain pattern (size, distribution) is the foundation of petroclastic rock Classification And Nomenclature, is also the basis that in the petroclastic rock grain pattern, sorting is asked for.The important symbol of physical geographic environment and hydrodynamic condition when in the petroclastic rock grain pattern, grain size characteristic and sorting are the analysis clastic deposited sediments.Simultaneously, in the petroclastic rock grain pattern, grain size characteristic and sorting are buried in evolutionary process reservoir physical to petroclastic rock and are developed and also have important control action.Therefore, the sreen analysis of petroclastic rock grain pattern is one of important research content in the oil-gas exploration and development field.
At present, the petroclastic rock Analytical Methods of Grain Grade mainly contains the direct method of measurement, sieve formula, sedimentation, laser particle size analysis method and image analytical method.The direct method of measurement is to utilize ruler or gauge directly to measure in unconsolidated sediment diameter greater than the diameter of the gravel of 2mm, and analyzes the Analytical Methods of Grain Grade of its feature.Sieve formula is the main method of analyzing granule level and sand level unconsolidated sediment grain size characteristic, normally gets the above sample of 50g, and at the about 10min of vibration screening machine top sieve, then classification is weighed.The ultimate principle of sedimentation is to utilize particle sinking speed to come the grade of the thinner flour sand of granularity of division and clay to distribute.The laser particle size analysis method be according to Ear Mucosa Treated by He Ne Laser Irradiation after particle, the phenomenon that particle can make laser produce diffraction or scattering is tested particle size range in the size-grade distribution of 0.02-2mm.Image analytical method comprises Slice Image analysis and Core Scanning Image Analysis, the Slice Image analysis refers to that image acquisition with microscopically is in computing machine, on computers the two dimensional image of particle is measured statistical treatment, in the analysis petroclastic rock, particle size diameter is less than the particle size distribution characteristic of 2mm; Core Scanning Image Analysis is by choosing the core sample of certain-length (10-50cm), use that rock core dissects, polishing and image scanning technology, form high-resolution rock core color scanning image, utilize the gravel (diameter is greater than 2mm) in advanced image analysis method extraction image, obtain the data such as particle diameter, form, rounding of single gravel, the parameters such as the sorting of statistics gravel, distribution, orientation.
Conglomerate refer to diameter greater than the detrital grain content of 2mm greater than 50% petroclastic rock.Conglomerate Reservoir is one of important reservoir of oil, rock gas.But present existing petroclastic rock Analytical Methods of Grain Grade can not accurately characterize the grain size characteristic of conglomerate.The direct method of measurement and sieve formula are only applicable to unconsolidated sediment, and for the conglomerate of fixed diagenesis, if adopt Mechanical Crushing, particle are occured broken or not exclusively broken, cause analysis result inaccurate; If adopt the method for chemical agent dissolves chink, particle is dissolved simultaneously, cause analysis result inaccurate; Laser particle size analysis method, Slice Image analytic approach are only applicable to diameter less than the particle of 2mm; The Core Scanning Image Analysis method is only applicable to analyze in conglomerate diameter greater than the gravel of 2mm.Therefore, in order to characterize accurately the feature of granularity in the conglomerate grain pattern, physical geographic environment and hydrodynamic condition when analyzing clastic deposited sediments, and control petroclastic rock and bury that in evolutionary process, reservoir physical develops, need to set up the analytical approach that is applicable to granularity in the conglomerate grain pattern.
Summary of the invention
The object of the invention is to solve the problems referred to above such as grain size characteristic that existing petroclastic rock Analytical Methods of Grain Grade can not accurately characterize conglomerate, the analytical approach of granularity in a kind of conglomerate core particle structure is provided.The method can characterize the feature of granularity in the conglomerate grain pattern accurately, and physical geographic environment and hydrodynamic condition when be used for analyzing clastic deposited sediments bury in evolutionary process reservoir physical to petroclastic rock simultaneously and develop and have important control action.
Technical scheme of the present invention is: the analytical approach of granularity in a kind of conglomerate core particle structure, and concrete steps are as follows:
(1) for diameter in the conglomerate rock core greater than the gravel particle of 2mm, by tracing paper, adopt the method for artificial sketch that rock core 1:1 essence is retouched, then utilize mapping software to carry out fair drawing, obtain gravel grade particles image, ask for again area SAi and homalographic circular diameter Di, the rock core total area S of each gravel by image analysis software, with sue for peace the to get total area SA of gravel of the area of each gravel;
(2) for the particle of diameter 0.03-2mm in conglomerate, select representative area to drill through sample from rock core, grind petrographic thin section, utilize microscope and camera system to obtain the particle image of 0.03-2mm, then ask for area Sbi and homalographic circular diameter di, the thin slice total area Sc of each particle in thin slice by image analysis software, with sue for peace the to get total area Sb of particle in thin slice of the area of each particle.Then, calculate the total area SB of 0.03-2mm particle in the corresponding area SBi of particle that each diameter-homalographic circular diameter in the conglomerate rock core is 0.03-2mm and rock core;
(3) analysis of the macroscopical essence tracing of conglomerate rock core picture is combined with the analysis result of representative region microcosmic Slice Image analysis, in calculating conglomerate rock core, particle total area Sg and the corresponding particle area of each homalographic circular diameter account for the percentage composition of the particle total area;
(4) utilize in the conglomerate rock core the corresponding particle area of each homalographic circular diameter to account for the percentage composition data of the particle total area, draw conglomerate rock core grain size probability cumulative curve chart by mapping software, ask for the structural parameters of conglomerate particle.
Preferably, in step (1), mapping software adopts CorelDRAW X4SP2 software, and image analysis software adopts Motic Image Advanced image analysis software.
Preferably, in step (2), microscope adopts the saturating anti-polarizing microscope of Zeiss AxioscopeA1APOL. numeral, and image analysis software adopts Axio Vision Software Rel. image analysis software.
Preferably, in step (4), mapping software adopts the Grapher mapping software.
Beneficial effect of the present invention is: the present invention adopts conglomerate rock core macroscopic view essence tracing picture to analyze the method that combines with the analysis of representative region microcosmic Slice Image, Obtaining Accurate the feature of granularity in the conglomerate grain pattern, physical geographic environment and hydrodynamic condition when being used for analyzing the conglomerate deposition, and be used for the original reservoir physical of research Conglomerate Reservoir and the Evolution that buries the process reservoir physical, and then be used in reference to the exploitation of Oil Guide gas exploration.
Description of drawings
Fig. 1 is FB(flow block) of the present invention.
Fig. 2 is the conglomerate grain size probability summation curve that utilizes the Core Scanning Image Analysis method to obtain.
Fig. 3 is the conglomerate grain size probability summation curve that the Slice Image analytic approach is obtained.
Fig. 4 is the conglomerate grain size probability summation curve that utilizes the present invention to obtain.
Fig. 5 is Shengli Oil Field somewhere conglomerate rock core gravel particle 1:1 essence tracing picture.
Fig. 6 is Slice Image in the conglomerate rock core of Shengli Oil Field somewhere.
Fig. 7 is Shengli Oil Field somewhere conglomerate rock core grain size probability summation curve.
Embodiment
The concrete technical scheme of this invention is described with Shengli Oil Field somewhere conglomerate grain pattern acquiring method.
The analytical approach of granularity in a kind of conglomerate core particle structure, concrete steps are as follows:
(1) for diameter in the conglomerate rock core greater than the gravel particle of 2mm, by tracing paper, adopt the method for artificial sketch that rock core 1:1 essence is retouched, then utilize CorelDRAW X4SP2 mapping software to carry out fair drawing, obtain gravel grade particles image (as shown in Figure 5), ask for again area SAi and homalographic circular diameter Di, the rock core total area S of each gravel by the CorelDRAWX4SP2 image analysis software, with sue for peace the to get total area SA of gravel of the area of each gravel.Table 1 is depicted as certain conglomerate rock core gravel particle 1:1 essence and retouches analysis granularity data table.
The total area computing formula of gravel is:
In formula, SAi-refers to the area of each gravel particle in rock core; N-refers to the number of rock core cobble-stone particle.
Table 1
(2) for the particle of diameter 0.03-2mm in conglomerate, select representative area to drill through sample from rock core, grind petrographic thin section, utilize the Zeiss AxioscopeA1APOL. saturating anti-polarizing microscope of numeral and camera system to obtain the particle image of 0.03-2mm, then ask for the area Sbi of each particle in thin slice and homalographic circular diameter di, thin slice total area Sc(as shown in Figure 6 by Axio Vision Software Rel. image analysis software), with sue for peace the to get total area Sb of particle in thin slice of the area of each particle; Then, calculate the total area SB of 0.03-2mm particle in the corresponding area SBi of particle that each diameter-homalographic circular diameter in the conglomerate rock core is 0.03-2mm and rock core.Table 2 is depicted as certain conglomerate rock core 0.03-2mm particle Slice Image and analyzes the granularity data table.
In rock core, the total area SB computing formula of 0.03-2mm particle is:
In formula, Sbi-refers to the area of each 0.03-2mm particle in thin slice; N-refers to the number of sand-size particle in thin slice.
SBi=Sbi/Sc×(S-SA),i=1,2,3……n(3)
In formula, in SBi-conglomerate rock core, each homalographic circular diameter is the corresponding area of particle of 0.03-2mm.
In formula, n-refers to the number of 0.03-2mm particle in rock core;
Table 2
(3) analysis of the macroscopical essence tracing of conglomerate rock core picture is combined with the analysis result of representative region microcosmic Slice Image analysis, in calculating conglomerate rock core, particle total area Sg and the corresponding particle area of each homalographic circular diameter account for the percentage composition (as shown in table 3) of the particle total area.
Computing formula is as follows:
The particle total area in the conglomerate rock core:
Sg=SA+SB (5)
In the conglomerate rock core, the gravel of each homalographic circular diameter accounts for the percentage composition of the particle total area:
PAi=SAi/Sg×100% (6)
In the conglomerate rock core, the particle of each homalographic circular diameter 2-0.03mm accounts for the percentage composition of the particle total area:
PBi=SBi/Sg×100% (7)
Table 3 is depicted as the corresponding particle area of each homalographic circular diameter of certain conglomerate rock core and accounts for particle total area percentage composition reckoner.
Table 3
In table 3: φ=-log2D, D is particle homalographic circular diameter (mm of unit) in conglomerate.
(4) utilize in the conglomerate rock core the corresponding particle area of each homalographic circular diameter to account for the percentage composition data (as shown in table 3) of the particle total area, draw conglomerate rock core grain size probability cumulative curve chart (as shown in Figure 7) by the Grapher mapping software, ask for the structural parameters of conglomerate particle: Mz=-2.57 φ, So=3.08, wherein Mz is mean grain size, and So is sorting coefficient.
Table 4 is depicted as the grain pattern parameter comparison table that grain pattern parameter that the present invention asks for and existing analytic approach are asked for.
Table 4
The Granularity Structure parameter |
The Core Scanning Image Analysis method |
The Slice Image analytic approach |
The inventive method |
Mz/φ |
-3.83 |
1.3 |
-2.85 |
So |
1.8 |
1.6 |
2.83 |
For same conglomerate rock core, Fig. 2 is the conglomerate grain size probability summation curve that utilizes the Core Scanning Image Analysis method to obtain, Fig. 3 is the conglomerate grain size probability summation curve that the Slice Image analytic approach is obtained, Fig. 4 is the conglomerate grain size probability summation curve that the inventive method is obtained, and table 4 is sorting coefficient (So), mean grain sizes (Mz) of utilizing conglomerate grain size probability summation curve that three kinds of methods are obtained to ask for.Comparative analysis as can be known, utilize conglomerate particle size diameter scope, grain size probability summation curve form, sorting coefficient (So), the mean grain size (Mz) that three kinds of methods are obtained to have notable difference, and the conglomerate particle size diameter scope obtained of the inventive method and grain size probability summation curve form, sorting coefficient (So), mean grain size (Mz) more meet the grain size characteristic of conglomerate in theory.