CN108693570B - Karst breccite identification method - Google Patents
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Abstract
The invention relates to a karst breccite identification method, which comprises the following steps: s1 dividing the karst breccid rock into karst crushed breccid rock, karst collapsed breccid rock and karst piled breccid rock according to different causes; s2 identifying karst crushed glutenite, karst collapsed glutenite and karst stacked glutenite from the core according to the identification characteristics; s3, respectively corresponding the identified karst broken breccite, karst collapsed breccite and karst piled breccite to the conventional logging curves at the same positions as the cores of the karst broken breccite, the karst collapsed breccite and the karst piled breccite, and summarizing the response characteristics of the conventional logging curves of the corresponding core taking sections; s4, establishing a karst breccite identification mode according to the obtained three types of breccite response characteristics, and finally realizing the breccite identification of the whole well section of the target layer according to the karst breccite identification mode. The technology provided by the invention can be better applied to a karst reservoir stratum. In the case of less well coring, the conglomerate pilates can be quickly identified, helping to find favorable reservoir development zones.
Description
Technical Field
The invention relates to the technical field of petroleum exploration and development, in particular to a karst breccite identification method.
Background
Lithology identification is the fundamental task for reservoir evaluation. Lithology identification is currently performed on reservoirs. Common well logging identification methods include: a cross-plot method, and various mathematical discriminant analysis methods.
The most used method for identifying the lithology of the stratum by using the conventional logging information is a cross plot method. The intersection graph method is characterized in that two physical quantities sensitive to lithological response are selected to be intersected to identify the lithology of a stratum, and abnormal division is carried out according to the characteristic that lithology and fluid type abnormality of different reservoirs occupy different areas on an intersection graph plane. Commonly used are neutron-density cross plots, acoustic time difference-density cross plots, neutron-acoustic time difference cross plots and the like. The cross plot has the advantages of simple manufacture, convenient and quick use, and is a lithology identification method which is widely adopted. But has the disadvantage of low recognition rate for complex lithology. With the development of technology, some new mathematical identification methods are emerging for complex lithology, and these methods mainly include: an M-N junction map, an element log (ECS), a BP neural network, and the like. The M-N intersection map is a suitable combination of density, neutron and acoustic wave lithology curves to achieve the purpose of dividing lithology. The element logging identifies the content of the sedimentary minerals of the stratum by accurately measuring the content of the composition elements of the stratum so as to achieve the aim of lithology identification. The lithology recognition method of the neural network is to select certain well-logging curve morphological characteristics as input vectors, use corresponding lithology as output vectors, form a training pair by the two, form a sample set by a plurality of training pairs, and thus establish a series of well-logging phase characteristics corresponding to actual geological conditions. The disadvantage of these new methods is the complex technical requirements and even the need for new logging tools.
In addition, the traditional well logging lithology identification method is based on the difference of rock mineral composition and structure in the deposition period. However, the karst breccid is formed in the karst phase, has a complex composition structure and is different from sedimentary rocks formed by the sedimentary action or magma rocks formed by the magma action, so that the karst breccid is difficult to identify by using the traditional lithology identification method.
Disclosure of Invention
When the karst effect takes place, the breccid often develops relatively, and the breccid often can represent certain ancient landform position, consequently can judge the karst ancient landform according to karst breccid. The most critical issue for breccia is lithology identification.
The identification of the karst breccite is difficult to realize by using the traditional lithology identification method. The invention starts from the cause of the breccia, statistically analyzes the logging response characteristics of various breccia of different types, and establishes a targeted karst breccia recognition mode to recognize different karst breccia.
The invention provides a karst breccite identification method, which comprises the following steps:
s1 dividing the karst breccid rock into karst crushed breccid rock, karst collapsed breccid rock and karst piled breccid rock according to different causes;
s2 identifying karst broken breccites, karst collapsed breccites, and karst stacked breccids from the core according to the identifying characteristics of the karst broken breccids, the karst collapsed breccids, and the karst stacked breccids;
s3, utilizing the identified karst broken breccite, karst collapsed breccite and karst piled breccite to respectively correspond to the logging curves at the same positions as the cores, and obtaining the response characteristics of the logging curves of the corresponding coring sections;
s4, establishing a karst breccite identification mode according to the obtained response characteristics of the three types of breccites, and realizing the breccite identification of the whole well section of the target layer according to the karst breccite identification mode.
Further, the step S1 includes:
s11 dividing the karst breccid rock formed by the breaking action at the karst stage into karst broken breccid rocks;
s12 dividing karst breccid rock formed by cave collapse of the cave rock in the karst process into karst cave breccid rock;
s13 divides the karst brecci formed by the underground river or cavern sediment of the karst period into karst piled brecci.
Further, in step S2, karst fractured and collapsed cobbles and karst stacked cobbles are identified from the core based on the composition of the cobbles, the shape of the cobbles corners, the spliceability of the cobbles, the type of cementation between the cobbles or the argillaceous content.
Further, the step S2 further includes:
s21, if the angle gravel has clear edges and splicing property, chemical cementation exists between the angle gravels, and the content of exogenous argillaceous debris is less than 10%, judging that the karst angle gravels are karst broken angle gravels;
s22, if the breccia is angular and disordered and can not be spliced, chemical cementation exists among the breccia and the content of exogenous argillaceous debris is 10-25%, judging that the karst breccia is karst collapse breccia;
s23, if the gravel has round and presents a plurality of gravel with different mineral components, and the content of foreign argillaceous debris is more than 25%, judging the karst glutenite to be karst piled glutenite.
In one embodiment, in step S3, the identified karst crushed breccites, karst collapsed breccids and karst piled breccids are used to correspond to GR curves at the same positions as the core, respectively, and response characteristics of the GR curves of the corresponding cored sections are analyzed.
Further, the step S3 includes:
a1 using the identified karst broken breccite, karst collapsed breccite and karst piled breccite to respectively correspond to GR curves at the same positions as the cores;
a2, carrying out qualitative analysis on the GR curves of the corresponding coring sections, summarizing the curve forms of the GR curves of the corresponding coring sections, and obtaining the qualitative characteristics of the GR curves of the corresponding coring sections;
a3, carrying out quantitative analysis on the GR curve of the corresponding coring segment, comparing the GR value of the corresponding coring segment with the GR mean value of the surrounding rock in the corresponding region, and counting the range of the GR value of the corresponding coring segment to obtain the quantitative characteristics of the GR curve of the corresponding coring segment.
In one embodiment, in step S3, the identified karst crushed breccites, karst collapsed breccids and karst piled breccids are used to correspond to the deep lateral resistivity curves at the same positions as the cores, respectively, and response characteristics of the deep lateral resistivity curves of the corresponding core segments are analyzed.
Further, the step S3 further includes:
b1 utilizing the identified karst crushed breccite, karst collapsed breccite and karst piled breccite to respectively correspond to the deep lateral resistivity curves at the same positions as the cores;
b2, qualitatively analyzing the deep lateral resistivity curve of the corresponding coring segment, summarizing the curve form of the deep lateral resistivity curve of the corresponding coring segment, and obtaining the qualitative characteristics of the deep lateral resistivity curve of the corresponding coring segment;
b3, carrying out quantitative analysis on the deep lateral resistivity curve of the corresponding coring segment, comparing the deep lateral resistivity value of the corresponding coring segment with the resistivity value of the surrounding rock in the corresponding region, and counting the range of the deep lateral resistivity of the corresponding coring segment to obtain the quantitative characteristics of the deep lateral resistivity curve of the corresponding coring segment.
In one embodiment, in step S3, the identified karst crushed breccites, karst collapsed breccids and karst piled breccids are used to respectively correspond to the bi-lateral resistivity curves at the same position as the core, and the response characteristics of the bi-lateral resistivity curves of the corresponding cored sections are analyzed.
Further, the step S3 includes:
c1 using the identified karst crushed glutenite, karst collapsed glutenite and karst piled glutenite to correspond to the deep lateral resistivity curve and the shallow lateral resistivity curve at the same position as the core respectively;
c2 qualitatively analyzing the deep lateral resistivity curve and the shallow lateral resistivity curve of the corresponding coring segment, summarizing the curve form difference of the deep lateral resistivity curve and the shallow lateral resistivity curve of the corresponding coring segment, and obtaining the qualitative characteristics of the double lateral resistivity curve of the corresponding coring segment;
and C3, carrying out quantitative analysis on the deep lateral resistivity curve and the shallow lateral resistivity curve of the corresponding coring section, and counting the range of the ratio of the deep lateral resistivity and the shallow lateral resistivity of the corresponding coring section to obtain the quantitative characteristics of the double-lateral resistivity curve of the corresponding coring section.
The invention has the beneficial effects that: compared with the prior art, the technology provided by the invention can be better applied to a karst reservoir stratum. In the case of less well coring, the conglomerate pilates can be quickly identified, helping to find favorable reservoir development zones.
Three types of karst breccid rocks are defined from the aspect of cause, and an important foundation is laid for the research and the carving of the breccid rocks and karst ancient landforms; the invention forms a set of method for identifying karst breccite, which solves the difficulties that the breccite is difficult to identify and insufficient to research to a certain extent; the method has the advantages of strong operability, visual and clear identification and high application value, and the steps of the method can be conveniently popularized and applied to exploration and development of karst strata.
Drawings
The invention will be described in more detail hereinafter on the basis of embodiments and with reference to the accompanying drawings. In the figure:
FIG. 1 is a flow chart of a method of identifying karst breccid rock according to the present invention;
FIG. 2 is a first breccia recognition pattern diagram for the karst breccia recognition method of the present invention;
FIG. 3 is a second breccia recognition pattern diagram for the karst breccia recognition method of the present invention.
In the drawings, like parts are provided with like reference numerals. The figures are not drawn to scale.
Detailed Description
The invention will be further explained with reference to the drawings.
Please refer to fig. 1, which is a flowchart illustrating a method for identifying karst breccid rock according to the present invention. As shown in the figure, the invention mainly comprises the following four steps:
step S1 performs lithology classification from the karst breccite cause angle: this step is at first to karst breccid cause assay, divide into karst broken breccid rock, karst collapse breccid rock and karst pile up breccid rock according to different causes again, and concrete step is:
s11 according to research and analysis, the karst broken breccite is formed in the breaking action of the karst period, and usually only generates small displacement; further dividing the karst breccid rock formed by the breaking action at the karst stage into karst broken breccid rocks;
s12, according to research analysis, collapse of cavernous rocks during karst collapse breccite formation; further dividing the karst breccid rock formed by cave collapse of the cavern rock in the karst process into karst collapsed breccid rocks
S13 karst piled glutenite is formed in underground river or cave sediment in the karst period, the forming process is similar to clastic rock deposition and is often carried out in short distance; and further dividing the karst breccid rock formed by the underground river or cavern sediment at the karst stage into karst piled breccid rocks.
In summary, based on the analysis of the cause of the karst breccite, the classification of lithology can be accomplished.
In addition, the longitudinal direction of the piled, crushed and collapsed breccia may constitute a complete karst cave sequence. In the combination of these three types of rock, there is often a combination of piled glutenite on the lower portion, collapsed glutenite in the middle portion and crushed glutenite on the upper portion. This law can play the additional role to lithology classification.
Step S2 identifies karst broken breccites, karst collapsed breccids, and karst stacked breccids from the core according to the identifying characteristics of the karst broken breccids, the karst collapsed breccids, and the karst stacked breccids. Wherein the core is a rock sample drilled into the well using a coring tool. Step S2 requires lithology analysis of all rock samples in the test area to distinguish and record the three types of breccia on the rock samples.
The identification features for identifying the type of karst breccid from the core are specifically:
s21 karst fractured breccite has the following identifying characteristics: the angle gravel has uniform components, clear edges and corners and good splicing property, and the angle gravel is mostly chemically cemented and basically does not contain exogenous argillaceous debris (the content of the exogenous argillaceous debris is less than 10%).
S22 karst collapsed breccite has the following identifying characteristics: the cobbles have relatively uniform components, are angular and can not be spliced disorderly, chemical cementation is mostly adopted among the cobbles, and the content of the detritus argillaceous components is relatively less (the content of exogenous argillaceous detritus accounts for 10-25%).
S23 karst conglomerate has the following identifying characteristics: the cobbles have certain rounding, but the sorting is generally poor, the cobbles with various mineral components can be seen, and the cobbles often contain a large amount of clastic argillaceous content (the foreign argillaceous clastic content accounts for more than 25 percent) and even can show a certain positive grain sequence.
The type of the breccia can be identified from the rock core according to the identification characteristics, wherein the amount of the argillaceous content is an important basis for judging the type of the breccia.
Step S3, utilizing the identified karst broken breccite, karst collapsed breccite and karst piled breccite to respectively correspond to the conventional well logging curves at the same position as the core, and summarizing the response characteristics of the conventional well logging curves of the corresponding core taking section.
Response characteristics of conventional logging curves of core sections of karst broken breccids, karst collapsed breccids and karst piled breccids need to be analyzed in sequence, the conventional logging curves are existing data, GR curves, depth resistivity (LL D, LL S) curves, natural potential curves and the like can be selected from the conventional logging curves, and the GR curves and the depth resistivity (LL D, LL S) curves are more obvious for the response characteristics of the three types of breccids in the invention, so that the GR curves and the depth resistivity (LL D, LL S) curves are selected for response characteristic analysis, and the specific implementation process of the step is as follows:
(1) and respectively corresponding the identified karst broken breccite, karst collapsed breccite and karst piled breccite to GR curves at the same position (namely core extraction depth) as the core, and analyzing the response characteristics of the GR curves of the corresponding core extraction sections. The method specifically comprises the following steps:
a1 using the identified karst broken breccite, karst collapsed breccite and karst piled breccite to respectively correspond to GR curves at the same positions as the cores;
a2, carrying out qualitative analysis on the GR curves of the corresponding coring segments, and summarizing the curve forms of the GR curves of the corresponding coring segments, wherein the curve forms are qualitative characteristics of the GR curves of the corresponding coring segments;
a3 carries out quantitative analysis on the GR curve of the corresponding coring segment, compares the GR value of the corresponding coring segment with the GR mean value of the surrounding rock in the corresponding region, and counts the range of the GR value of the corresponding coring segment, wherein the range of the GR value of the corresponding coring segment is the quantitative characteristic of the GR curve of the corresponding coring segment.
According to the method, the GR values of the karst broken breccite are basically smaller than the GR mean value of the surrounding rocks by counting the GR value range of the corresponding coring segment of the karst broken breccite; through statistics of the GR value ranges of corresponding coring sections of the karst collapse breccite, the GR values of the karst collapse breccite are basically between a1 and a2(a 1 and a2 are constants); and through statistics of the GR value ranges of corresponding coring sections of the karst piled glutenite, the GR values of the karst piled glutenite are basically greater than a 2.
Wherein the GR mean value of the surrounding rock is less than a1 and less than a 2. In different areas, the surrounding rock GR mean value is different, the constant a1 value is different, and the constant a2 value is also different.
(2) And respectively corresponding the identified karst broken breccite, karst collapsed breccite and karst piled breccite to a deep lateral resistivity curve at the same position (namely the coring depth) as the core, and analyzing the response characteristic of the deep lateral resistivity curve of the corresponding coring section. The method specifically comprises the following steps:
b1 utilizing the identified karst crushed breccite, karst collapsed breccite and karst piled breccite to respectively correspond to the deep lateral resistivity curves at the same positions as the cores;
b2, qualitatively analyzing the deep lateral resistivity curve of the corresponding coring segment, summarizing the curve form of the deep lateral resistivity curve of the corresponding coring segment, and obtaining the qualitative characteristics of the deep lateral resistivity curve of the corresponding coring segment;
b3, carrying out quantitative analysis on the deep lateral resistivity curve of the corresponding coring segment, comparing the deep lateral resistivity value of the corresponding coring segment with the surrounding rock resistivity mean value in the corresponding region, and counting the range of the deep lateral resistivity value of the corresponding coring segment, wherein the range of the deep lateral resistivity value of the corresponding coring segment is the quantitative characteristic of the deep lateral resistivity curve of the corresponding coring segment.
According to the invention, the deep lateral resistivity values of the karst crushed glutenite are basically between the GR mean value and c1 (c1 is a constant) by counting the range of the deep lateral resistivity values of the corresponding coring section of the karst crushed glutenite; obtaining the deep lateral resistivity values of the karst collapsed breccite which are basically between c1 and c2 (c2 is a constant) by counting the range of the deep lateral resistivity values of the corresponding coring segment of the karst collapsed breccite; by counting the range of deep lateral resistivity values of the corresponding cored section of the karst conglomerate, it is obtained that the deep lateral resistivity values of the karst conglomerate are all substantially less than c 2.
Wherein c2 < c1 < the average value of the resistivity of the surrounding rock. In different areas, the average value of the resistivity of the surrounding rock is different, the constant c1 value is different, and the constant c2 value is also different.
(3) And respectively corresponding the identified karst broken breccite, karst collapsed breccite and karst piled breccite to the bilateral resistivity curves at the same position as the core, and analyzing the response characteristics of the bilateral resistivity curves of the corresponding core-taking sections. The method specifically comprises the following steps:
c1 using the identified karst crushed glutenite, karst collapsed glutenite and karst piled glutenite to correspond to the deep lateral resistivity curve and the shallow lateral resistivity curve at the same position as the core respectively;
c2 qualitatively analyzing the deep lateral resistivity curve and the shallow lateral resistivity curve of the corresponding coring segment, summarizing the curve form difference of the deep lateral resistivity curve and the shallow lateral resistivity curve of the corresponding coring segment, and obtaining the qualitative characteristics of the double lateral resistivity curve of the corresponding coring segment;
and C3, carrying out quantitative analysis on the deep lateral resistivity curve and the shallow lateral resistivity curve of the corresponding coring section, and counting the ratio range of the deep lateral resistivity and the shallow lateral resistivity of the corresponding coring section, wherein the ratio range of the deep lateral resistivity and the shallow lateral resistivity of the corresponding coring section is the quantitative characteristic of the bilateral resistivity curve of the corresponding coring section.
In the invention, the ratio of the deep lateral resistivity and the shallow lateral resistivity of the karst crushed glutenite is basically greater than s2(s2 is a constant) by counting the ratio range of the deep lateral resistivity and the shallow lateral resistivity of the corresponding coring section of the karst crushed glutenite; obtaining the ratio of the deep lateral resistivity and the shallow lateral resistivity of the karst collapsed breccite basically between s1 and 1 (s1 is a constant) by counting the ratio range of the deep lateral resistivity and the shallow lateral resistivity of the corresponding coring section of the karst collapsed breccite; through statistics of the ratio range of the deep lateral resistivity and the shallow lateral resistivity of the corresponding coring segment of the karst conglomerate, the ratio of the deep lateral resistivity and the shallow lateral resistivity of the karst conglomerate is basically between s1 and s2(s2 is a constant).
Wherein s2 < s1 < 1. In different regions, the value of the constant s1 is different, and the value of the constant s2 is also different.
Finally, statistical analysis found that karst fractured and collapsed breccid rocks and karst piled breccid rocks have the following characteristics if the GR mean value of the surrounding rocks is set to a (api) and the resistivity mean value of the surrounding rocks is C (Ω · m):
karst crushed conglomerate has the following characteristics: the GR value is basically less than A (API), and the curve is relatively straight; most of crushed breccite gravel is chemically cemented by calcite, the deep lateral resistivity value is similar to C (omega · m), the curve is straight and slightly fluctuated, the curves of the bilateral resistivity are positively different, and the ratio of the deep lateral resistivity to the shallow lateral resistivity is greater than s 2;
karst collapsed breccite has the following characteristics: GR value is a1-a2(API), and the GR curve is in a bell shape and a funnel shape with lower height; the inter-gravel filling of the collapsed breccia is mostly characterized in that the upper part is chemically cemented by calcite, and the lower part is filled by argillaceous substances; the deep lateral resistivity value is c1-c2 (omega. m), and the ratio of the deep lateral resistivity to the shallow lateral resistivity is 1-s 1;
karst conglomerates have the following characteristics: the GR value is larger than a2(API), and the GR curve is in various forms such as a bell shape with high and low heights, a box shape and the like; the deep lateral resistivity value is less than c2 (omega m), and the ratio of the deep lateral resistivity to the shallow lateral resistivity is between s1 and s 2.
Wherein the average value of the surrounding rocks can be obtained by comparing pure limestone or pure dolomite in the core in the region; the closeness of the values of a1 and a2, c1 and c2, and s1 and s2 of the karst breccite from the same parent rock is mainly influenced by the contents of three types of lithologic argillaceous substances, the contents of the cementing substances and the chemical components of the cementing substances.
And step S4, establishing a karst breccite identification mode according to the obtained three types of breccite response characteristics, and finally realizing the breccite identification of the whole well section of the target layer according to the karst breccite identification mode.
The breccia recognition mode established in this step is shown in fig. 2 and 3. Finally, according to the breccia recognition mode shown in fig. 2 and 3, the response characteristics of the GR curve and the depth resistivity curve are compared with the response characteristics of the corresponding curves in the breccia recognition mode, so that the breccia recognition of the full-well section of the target zone can be realized.
The present invention will be further described with reference to the following specific examples.
Example (b):
the method is applied to the Fuxian county district blocks to identify the Ordovician karst breccid rocks of the following ancient kingdom, particularly the piled breccid rocks, and has a very good application effect.
The GR average value A of surrounding rocks in the Fuxian county block region is 60API, a1 is 70API, a2 is 100API, the surrounding rock resistivity average value C is 665 omega-m, C1 is 400 omega-m, C2 is 150 omega-m, the depth resistivity ratio s1 is 1.1, and s2 is 1.4.
The Rich 7 well 2959.5m-2963.0m is characterized in that GR value is very low and is in a range from 9.7 API to 18.3API, average 26.4API, curve is flat, resistivity is relatively low below average A, the resistivity is between 559 and 3499 omega, m is approximately arched, the depth resistivity and the shallow resistivity have certain difference, the shallow resistivity is LL S average value is 802.8 omega, m and the deep resistivity is LL D average value is 1170.1 omega, m are both larger than C value, LL D/LL S average value is 1.61 is higher than S2, and the typical crushed conglomerate is.
The new rich 3 wells 2835.0-2838.0 m are collapsed cornerite at the top, GR is bell-shaped, and has a mean value of 72API, which is greater than a1 but less than a2, top value is similar to matrix value, resistivity values are flat overall, LL S values are 81.5-408.5 Ω -m, mean values of 169.2 Ω -m, LL D values are 78.6-410.3 Ω -m, mean values of 174.3 Ω -m, values lower than c1, values higher than c2, depth resistivity values have substantially no amplitude difference, LL D/LL S mean values are 1.04 Ω collapse values, which are greater than 1, which are less than S1, collapsed cornerite at 2838.0-2839.0 m, bottom piled cornerite, well logging curves GR are bell-shaped, 58-5 API, mean values are 109API, mean values are greater than a2, resistivity values are whole collapsed cornerite values, LL S values are 84.8, 84.3, 3.3 g-95 g-35, and the combined upper and lower corner rock stacking depth values are equivalent to 95.3.3.3.3. 75 Ω -26.3.3, 26S, 75S values are all of the same as the average values of the stacked cornerite, the average values of the bottom angle rock depth values of the same as the stacked cornerite values of the stacked cornerite values are 6353S values of the same as the stacked cornerite, the stacked cornerite values of the stacked cornerite are equivalent to the same as the stacked cornerite values of the stacked cornerite, the stacked corne.
The Fugu 1 well is 3122.5-3128.5 m, the GR curve form presents the superposition of double funnels, the upper section is longer, 3122.5-3127.5 m form is slow, the lower section is shorter, 3127.5-3128.5, the form is funnel-shaped, the GR value is higher on the whole, the GR value ranges from 61.4-145.8 API, the average value is 106.6 and is larger than a2, the bilateral resistivity is opposite to the GR value, the value is lower, LL S ranges from 6.1-3363.5 omega.m, the average value is 95.6 omega.m, LL D ranges from 3.9-2948.7 omega.m, the average value is 91.5 omega.m, the average value is lower than c2, LL D/LL S average value is 1.19, and the average value is larger than S1 and smaller than S2.
While the invention has been described with reference to a preferred embodiment, various modifications may be made and equivalents may be substituted for elements thereof without departing from the scope of the invention. In particular, the technical features mentioned in the embodiments can be combined in any way as long as there is no structural conflict. It is intended that the invention not be limited to the particular embodiments disclosed, but that the invention will include all embodiments falling within the scope of the appended claims.
Claims (7)
1. A karst breccite identification method is characterized by comprising the following steps:
s1 dividing the karst breccid rock into karst crushed breccid rock, karst collapsed breccid rock and karst piled breccid rock according to different causes;
s2 identifying karst broken breccites, karst collapsed breccites, and karst stacked breccids from the core according to the identifying characteristics of the karst broken breccids, the karst collapsed breccids, and the karst stacked breccids;
s3, utilizing the identified karst broken breccite, karst collapsed breccite and karst piled breccite to respectively correspond to GR curves at the same positions as the cores, analyzing response characteristics of GR curves of corresponding core-taking sections, utilizing the identified karst broken breccite, karst collapsed breccite and karst piled breccite to respectively correspond to deep lateral resistivity curves at the same positions as the cores, analyzing response characteristics of deep lateral resistivity curves of corresponding core-taking sections, utilizing the identified karst broken breccite, karst collapsed breccite and karst piled breccite to respectively correspond to bi-lateral resistivity curves at the same positions as the cores, and analyzing response characteristics of bi-lateral resistivity curves of corresponding core-taking sections;
s4, establishing a karst breccite identification mode according to the obtained response characteristics of the three types of breccites, and realizing the breccite identification of the whole well section of the target layer according to the karst breccite identification mode.
2. The method for identifying karst breccid rock as claimed in claim 1, wherein said step S1 further comprises:
s11 dividing the karst breccid rock formed by the breaking action at the karst stage into karst broken breccid rocks;
s12 dividing karst breccid rock formed by cave collapse of the cave rock in the karst process into karst cave breccid rock;
s13 divides the karst brecci formed by the underground river or cavern sediment of the karst period into karst piled brecci.
3. The method of identifying karst breccid rock of claim 1, wherein in step S2, the karst fractured breccid rock, the karst collapsed breccid rock, and the karst stacked breccid rock are identified from the core based on the composition of the breccid, the shape of the breccid corners, the spliceability of the breccid, the type of cementation between the breccid, or the argillaceous content.
4. The method for identifying karst breccid rock as claimed in claim 3, wherein said step S2 further comprises:
s21, if the angle gravel has clear edges and splicing property, chemical cementation exists between the angle gravels, and the content of exogenous argillaceous debris is less than 10%, judging that the karst angle gravels are karst broken angle gravels;
s22, if the breccia is angular and disordered and can not be spliced, chemical cementation exists among the breccia and the content of exogenous argillaceous debris is 10-25%, judging that the karst breccia is karst collapse breccia;
s23, if the gravel has round and presents a plurality of gravel with different mineral components, and the content of foreign argillaceous debris is more than 25%, judging the karst glutenite to be karst piled glutenite.
5. The method for identifying karst breccid rock as claimed in claim 1, wherein said step S3 further comprises:
a1 using the identified karst broken breccite, karst collapsed breccite and karst piled breccite to respectively correspond to GR curves at the same positions as the cores;
a2, carrying out qualitative analysis on the GR curves of the corresponding coring sections, summarizing the curve forms of the GR curves of the corresponding coring sections, and obtaining the qualitative characteristics of the GR curves of the corresponding coring sections;
a3, carrying out quantitative analysis on the GR curve of the corresponding coring segment, comparing the GR value of the corresponding coring segment with the GR mean value of the surrounding rock in the corresponding region, and counting the range of the GR value of the corresponding coring segment to obtain the quantitative characteristics of the GR curve of the corresponding coring segment.
6. The method for identifying karst breccid rock as claimed in claim 1, wherein said step S3 further comprises:
b1 utilizing the identified karst crushed breccite, karst collapsed breccite and karst piled breccite to respectively correspond to the deep lateral resistivity curves at the same positions as the cores;
b2, qualitatively analyzing the deep lateral resistivity curve of the corresponding coring segment, summarizing the curve form of the deep lateral resistivity curve of the corresponding coring segment, and obtaining the qualitative characteristics of the deep lateral resistivity curve of the corresponding coring segment;
b3, carrying out quantitative analysis on the deep lateral resistivity curve of the corresponding coring segment, comparing the deep lateral resistivity value of the corresponding coring segment with the resistivity value of the surrounding rock in the corresponding region, and counting the range of the deep lateral resistivity of the corresponding coring segment to obtain the quantitative characteristics of the deep lateral resistivity curve of the corresponding coring segment.
7. The method for identifying karst breccid rock as claimed in claim 1, wherein said step S3 further comprises:
c1 using the identified karst crushed glutenite, karst collapsed glutenite and karst piled glutenite to correspond to the deep lateral resistivity curve and the shallow lateral resistivity curve at the same position as the core respectively;
c2 qualitatively analyzing the deep lateral resistivity curve and the shallow lateral resistivity curve of the corresponding coring segment, summarizing the curve form difference of the deep lateral resistivity curve and the shallow lateral resistivity curve of the corresponding coring segment, and obtaining the qualitative characteristics of the double lateral resistivity curve of the corresponding coring segment;
and C3, carrying out quantitative analysis on the deep lateral resistivity curve and the shallow lateral resistivity curve of the corresponding coring section, and counting the range of the ratio of the deep lateral resistivity and the shallow lateral resistivity of the corresponding coring section to obtain the quantitative characteristics of the double-lateral resistivity curve of the corresponding coring section.
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