CN108693570A - A kind of karst breccia recognition methods - Google Patents
A kind of karst breccia recognition methods Download PDFInfo
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- CN108693570A CN108693570A CN201710235174.XA CN201710235174A CN108693570A CN 108693570 A CN108693570 A CN 108693570A CN 201710235174 A CN201710235174 A CN 201710235174A CN 108693570 A CN108693570 A CN 108693570A
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Abstract
The present invention relates to a kind of karst breccia recognition methods comprising:S1 is divided into karst rubble breccia according to the different origin causes of formation, karst breccia, karst caves in breccia and karst accumulation breccia;S2 identifies from core that karst rubble breccia, karst cave in breccia and karst accumulation breccia according to identification feature;S3 is caved in breccia and karst accumulation breccia using the karst rubble breccia, the karst that identify, is corresponded to respectively on the Logging Curves of its core same position, and is summarized the response characteristic of corresponding coring section Logging Curves;S4 establishes karst breccia recognition mode according to the three classes breccia response characteristic obtained, finally realizes that the breccia of the full well section of destination layer identifies according to the karst breccia recognition mode.Technology proposed by the present invention can preferably be applied in Karst-type reservoir.In the case where drilling extracting core is less, accumulation breccia can be rapidly identified, help to find Favorable Reservoir development area.
Description
Technical field
The present invention relates to petroleum exploration and development technical field more particularly to a kind of karst breccia recognition methods.
Background technology
Lithology Discrimination is the element task of evaluating reservoir.Lithology Discrimination is carried out to reservoir at present.Common well logging recognition side
Method has:Cross-plot and various Math judgment analysis methods.
It is cross-plot to be used at most using Conventional Logs identification formation lithology.Plot method is that two kinds of selection is right
The sensitive physical quantity of lithology reaction is intersected to identify the lithology on stratum, mainly according to the lithology and fluid class of different reservoir
Type is abnormal the characteristics of occupying different zones on intersecting plan, carries out dividing anomaly.There are commonly neutron-density crossplot,
Interval transit time-density cross plot, neutron-interval transit time cross plot etc..Cross plot have make it is simple, easy to use and efficiently
Advantage is a kind of Lithology Identification Methods being widely adopted.But it is the disadvantage is that low to Complex lithologic identification rate.With the hair of technology
Exhibition, for complex lithology, some new mathematics are sentenced knowledge method and are emerged in large numbers successively, these methods include mainly:M-N crosses figure, element
Well logging (ECS), BP neural networks etc..The M-N figures that cross are by density, neutron and sound wave three kinds of lithology curves are appropriately combined reaches
To the purpose for dividing lithology.Geochemical well logging differentiates that sedimentation mineral contain by the content of accurate measurement stratum component
Amount, to achieve the purpose that Lithology Discrimination.Neural network Lithology Discrimination method be select certain form of logs feature as
Input vector is used in combination lithology correspondingly as output vector, and the two forms a training pair, by multiple training to forming one
A sample set thus sets up a series of well logging phase characters corresponding with practical geological state.The shortcomings that these new methods
It is that technology requires well logging means that are complicated, or even needing new.
In addition difference of the previous Recognition of Weil Logging Lithology method mostly based on deposition period rock forming mineral the Nomenclature Composition and Structure of Complexes.But
Since karst breccia is formed in karst stage diagenesis, constituent structure is complicated, is different from the sedimentary rock that deposition is formed
The magmatic rock that class or magmatism are formed, so with the method for traditional Lithology Discrimination, it is difficult to realize to karst breccia
Identification.
Invention content
When occurring due to karstification, breccia often comparative development, and also breccia tends to represent certain ancient ground
Looks position, therefore can judge Palaeokarst Landform according to karst breccia.It is then lithology for the problem of breccia most critical
Identification.
With the method for traditional Lithology Discrimination, it is difficult to realize the identification to karst breccia.The present invention is then from breccia
The origin cause of formation is set out, the logging response character of statistical analysis various types breccia, establishes specific aim karst breccia identification mould
Formula, to identify different karst breccias.
The present invention proposes a kind of karst breccia recognition methods, includes the following steps:
S1 is divided into karst rubble breccia according to the different origin causes of formation, karst breccia, karst caves in breccia and karst
Accumulate breccia;
S2 according to karst rubble breccia, karst cave in breccia and karst accumulation breccia identification feature from core
Identify that karst rubble breccia, karst cave in breccia and karst accumulation breccia;
S3 is caved in breccia and karst accumulation breccia using the karst rubble breccia, the karst that identify, is corresponded to respectively
To with the response characteristic that on the log of core same position, obtains corresponding coring section log;
S4 establishes karst breccia recognition mode according to the response characteristic of the three classes breccia obtained, according to the karst angle
Conglomerate recognition mode realizes the breccia identification of the full well section of destination layer.
Further, the step S1 includes:
The karst breccia formed by the fragmentation in karst period is divided into karst rubble breccia by S11;
S12 will be divided into karst by the karst breccia for caving in and being formed of cave rock in Karst process and cave in dust
Rock;
The karst breccia formed by the underground underground river in karst period or Cave sediments is divided into karst accumulation by S13
Breccia.
Further, in step s 2, according between dust ingredient, dust angular shape, the sliceable property of dust, dust
Cementation type or shale content identify that karst rubble breccia, karst cave in breccia and karst accumulation dust from core
Rock.
Further, the step S2 further comprises:
If S21 dusts corner angle are clearly demarcated and have sliceable property, between dust be chemical bond and external source shale clast content accounts for
Than being less than 10%, then judge the karst breccia for karst rubble breccia;
If S22 dusts in angular and mixed and disorderly not sliceable, account between dust for chemical bond and external source shale clast content
Than between 10%-25%, then judging the karst breccia for karst collapse breccia;
If S23 dusts have rounding and the dust of a variety of different minerals ingredients, and external source shale clast content accounting are presented
More than 25%, then judge the karst breccia for karst accumulation breccia.
In one embodiment, in step s3, using the karst rubble breccia, the karst that identify cave in breccia and
Karst accumulation breccia is corresponded to respectively on the GR curves with core same position, and analyzes the GR curves of corresponding coring section
Response characteristic.
Further, the step S3 includes:
A1 is caved in breccia and karst accumulation breccia using the karst rubble breccia, the karst that identify, is corresponded to respectively
Onto the GR curves with core same position;
A2 carries out qualitative analysis to the GR curves of corresponding coring section, summarizes the tracing pattern of the GR curves of corresponding coring section,
Obtain the qualitative features of the GR curves of corresponding coring section;
A3 carries out quantitative analysis to the GR curves of corresponding coring section, by the GR values of corresponding coring section and enclosing in corresponding region
Rock GR mean values are compared, and count the range of the GR values of corresponding coring section, obtain the quantitative characteristic of the GR curves of corresponding coring section.
In one embodiment, in step s3, using the karst rubble breccia, the karst that identify cave in breccia and
Karst accumulation breccia corresponds on the deep lateral resistivity curve with core same position, and analyzes corresponding coring respectively
The response characteristic of the deep lateral resistivity curve of section.
Further, the step S3 further comprises:
B1 is caved in breccia and karst accumulation breccia using the karst rubble breccia, the karst that identify, is corresponded to respectively
Onto the deep lateral resistivity curve with core same position;
B2 carries out qualitative analysis to the deep lateral resistivity curve of corresponding coring section, summarizes the deep lateral electricity of corresponding coring section
The tracing pattern of resistance rate curve obtains the qualitative features of the deep lateral resistivity curve of corresponding coring section;
B3 carries out quantitative analysis to the deep lateral resistivity curve of corresponding coring section, by the lateral resistance of depth of corresponding coring section
Rate value is compared with the shoulder-bed resistivity (SBR) value in corresponding region, is counted the range of the deep lateral resistivity of corresponding coring section, is obtained
To the quantitative characteristic of the deep lateral resistivity curve of corresponding coring section.
In one embodiment, in step s3, using the karst rubble breccia, the karst that identify cave in breccia and
Karst accumulation breccia corresponds on the al-lateral resistivity curve with core same position, and analyzes corresponding coring respectively
The response characteristic of the al-lateral resistivity curve of section.
Further, the step S3 includes:
C1 is caved in breccia and karst accumulation breccia using the karst rubble breccia, the karst that identify, is corresponded to respectively
To with core same position deep lateral resistivity curve and shallow lateral resistivity curve on;
C2 carries out qualitative analysis to the deep lateral resistivity curve of corresponding coring section and shallow lateral resistivity curve, summarizes
The tracing pattern difference of the deep lateral resistivity curve and shallow lateral resistivity curve of corresponding coring section, obtains corresponding coring section
The qualitative features of al-lateral resistivity curve;
C3 carries out quantitative analysis, statistics to the deep lateral resistivity curve of corresponding coring section and shallow lateral resistivity curve
The ratio range of the deep lateral resistivity and shallow lateral resistivity of corresponding coring section, obtains the al-lateral resistivity of corresponding coring section
The quantitative characteristic of curve.
Beneficial effects of the present invention:Compared with prior art, technology proposed by the present invention can preferably be applied to karst
In type reservoir.In the case where drilling extracting core is less, accumulation breccia can be rapidly identified, help to find Favorable Reservoir
Development area.
The present invention defines three classes karst breccia from the angle of the origin cause of formation, is research and the quarter of breccia and Palaeokarst Landform
Picture establishes important foundation;The present invention forms a set of progress karst breccia and knows method for distinguishing, solves breccia identification hardly possible, centainly
The difficulty being not enough is studied in degree;Operability of the present invention is strong, and identification is intuitive, clear, has very high application value,
Method and step can be promoted the use of very easily in the exploration and development of karst strata.
Description of the drawings
The invention will be described in more detail below based on embodiments and refering to the accompanying drawings.In figure:
Fig. 1 is the flow chart of karst breccia recognition methods of the present invention;
Fig. 2 is the breccia recognition mode figure one of karst breccia recognition methods of the present invention;
Fig. 3 is the breccia recognition mode figure two of karst breccia recognition methods of the present invention.
In the accompanying drawings, identical component uses identical reference numeral.Attached drawing is not according to actual scaling.
Specific implementation mode
The present invention will be further described with reference to the accompanying drawings.
Referring to Fig. 1, it is the flow chart of karst breccia recognition methods of the present invention.As shown, the present invention mainly wraps
Include following four step:
Step S1 carries out lithology breakdown from karst breccia origin cause of formation angle:This step first carries out the karst breccia origin cause of formation
Karst breccia is divided into karst rubble breccia by analysis further according to the different origin causes of formation, karst caves in breccia and karst accumulation
Breccia, the specific steps are:
For S11 according to researching and analysing, karst rubble breccia is formed in the fragmentation in karst period, often only occurs smaller
Displacement;And then the karst breccia formed by the fragmentation in karst period is divided into karst rubble breccia;
For S12 according to researching and analysing, the karst breccia that caves in is formed in caving in for cave rock in Karst process;And then it will be by
The karst breccia for caving in and being formed of cave rock is divided into karst and caves in breccia in Karst process
S13 karst accumulation breccias be formed in karst period underground underground river or Cave sediments, forming process it is similar
In clastic deposited sediments, short-range carrying often experienced;And then it will be by the underground underground river in karst period or Cave sediments
The karst breccia of formation is divided into karst accumulation breccia.
In conclusion according to the analysis to the karst breccia origin cause of formation, the classification to lithology can be completed.
In addition, accumulating breccia, rubble breccia and caving in breccia in the longitudinal direction, a complete solution cavity can be formed
Sequence.In the syntagmatic of this three rocks, often lower part is accumulation breccia, and centre is the breccia that caves in, and top is broken
The combination of broken breccia.This rule can play booster action to lithology breakdown.
Step S2 according to karst rubble breccia, karst cave in breccia and karst accumulation breccia identification feature from rock
Identify that karst rubble breccia, karst cave in breccia and karst accumulation breccia on core.Wherein, core is to utilize coring work
Tool, the rock sample drilled through out into well.Step S2 needs to carry out lithologic analysis to whole rock samples of test zone with area
The three classes breccia on rock sample is separated, and is kept a record.
For identifying that the identification feature of karst breccia type is specially from core:
S21 karst rubble breccias have feature identified below:Dust uniform component, corner angle are clearly demarcated, have and well may be used
Splicing property is mostly chemical bond between dust, is substantially free of external source shale clast (external source shale clast content accounting is less than 10%).
S22 karst caves in breccia with feature identified below:Dust ingredient is relatively uniform, is in angular, in a jumble can not
Splice, is mostly chemical bond between dust, clast shale component content is relatively fewer, and (external source shale clast content accounting is in 10%-
Between 25%).
S23 karst accumulation breccias have feature identified below:Dust has certain rounding, but sorting is general poor, can
To see the dust of a variety of different minerals ingredients, and often containing a large amount of clast shale contents, (external source shale clast content accounts for
Than being more than 25%), it might even be possible to show certain positive grain sequence.
Breccia type can be identified from core according to feature identified above, wherein the number of shale content is to sentence
The important evidence of angle of rupture conglomerate type.
Step S3 is caved in breccia and karst accumulation breccia using the karst rubble breccia, the karst that identify, respectively
It corresponds to on the Logging Curves of core same position, and summarizes the response characteristic of corresponding coring section Logging Curves.
This step needs to analyze karst rubble breccia successively, karst caves in breccia and karst accumulation breccia take
The response characteristic of core section Logging Curves, Logging Curves are data with existing, Logging Curves can choose GR curves,
Deep and shallow resistivity (LLD, LLS) curve and spontaneous potential curve etc..Due to GR curves and deep and shallow resistivity (LLD, LLS) curve
The response characteristic of three classes breccia in the present invention is become apparent, and then in the present invention, chooses GR curves and depth electricity
Resistance rate (LLD, LLS) curve carries out response characteristic analysis, then the specific implementation process of this step is:
(1) it is caved in breccia and karst accumulation breccia using the karst rubble breccia, the karst that identify, is corresponded to respectively
To on the GR curves of core same position (i.e. coring depth), and the response characteristic of the GR curves of corresponding coring section is analyzed.
Specially:
A1 is caved in breccia and karst accumulation breccia using the karst rubble breccia, the karst that identify, is corresponded to respectively
Onto the GR curves with core same position;
A2 carries out qualitative analysis to the GR curves of corresponding coring section, summarizes the tracing pattern of the GR curves of corresponding coring section,
The tracing pattern is the qualitative features of the GR curves of corresponding coring section;
A3 carries out quantitative analysis to the GR curves of corresponding coring section, by the GR values of corresponding coring section and enclosing in corresponding region
Rock GR mean values are compared, and count the range of the GR values of corresponding coring section, the GR value ranges of corresponding coring section are corresponding coring
The quantitative characteristic of the GR curves of section.
In the present invention, by corresponding to the statistics of the range of the GR values of coring section to karst rubble breccia, karst is obtained
The GR values of rubble breccia are substantially respectively less than country rock GR mean values;By the GR values for corresponding to karst collapse breccia coring section
The statistics of range obtains the GR values of karst collapse breccia substantially between a1 and a2 (a1 be constant with a2);By right
Karst accumulation breccia corresponds to the statistics of the range of the GR values of coring section, and the GR values for obtaining karst accumulation breccia are substantially big
In a2.
Wherein, country rock GR mean values < a1 < a2.Wherein, in different zones, country rock GR mean values are different, and constant a1 values are different,
Constant a2 values are also different.
(2) it is caved in breccia and karst accumulation breccia using the karst rubble breccia, the karst that identify, is corresponded to respectively
To on the deep lateral resistivity curve of core same position (i.e. coring depth), and the deep lateral electricity of corresponding coring section is analyzed
The response characteristic of resistance rate curve.Specially:
B1 is caved in breccia and karst accumulation breccia using the karst rubble breccia, the karst that identify, is corresponded to respectively
Onto the deep lateral resistivity curve with core same position;
B2 carries out qualitative analysis to the deep lateral resistivity curve of corresponding coring section, summarizes the deep lateral electricity of corresponding coring section
The tracing pattern of resistance rate curve obtains the qualitative features of the deep lateral resistivity curve of corresponding coring section;
B3 carries out quantitative analysis to the deep lateral resistivity curve of corresponding coring section, by the lateral resistance of depth of corresponding coring section
Rate value is compared with the shoulder-bed resistivity (SBR) mean value in corresponding region, counts the model of the deep lateral resistivity value of corresponding coring section
It encloses, the range of the deep lateral resistivity value of corresponding coring section is the quantitative spy of the deep lateral resistivity curve of corresponding coring section
Sign.
In the present invention, by corresponding to the system of the range of the deep lateral resistivity value of coring section to karst rubble breccia
Meter, obtains the deep lateral resistivity value of karst rubble breccia substantially between country rock GR mean values and c1 (c1 is constant);
By corresponding to the statistics of the range of the deep lateral resistivity value of coring section to karst collapse breccia, karst collapse breccia is obtained
Deep lateral resistivity value substantially between c1 and c2 (c2 is constant);By corresponding to coring section to karst accumulation breccia
Deep lateral resistivity value range statistics, the deep lateral resistivity value for obtaining karst accumulation breccia is substantially respectively less than
c2。
Wherein, c2 < c1 < shoulder-bed resistivity (SBR) mean values.In different zones, shoulder-bed resistivity (SBR) mean value is different, and constant c1 values are not
Together, constant c2 values are also different.
(3) it is caved in breccia and karst accumulation breccia using the karst rubble breccia, the karst that identify, is corresponded to respectively
Onto the al-lateral resistivity curve with core same position, and analyze the sound of the al-lateral resistivity curve of corresponding coring section
Answer feature.Specially:
C1 is caved in breccia and karst accumulation breccia using the karst rubble breccia, the karst that identify, is corresponded to respectively
To with core same position deep lateral resistivity curve and shallow lateral resistivity curve on;
C2 carries out qualitative analysis to the deep lateral resistivity curve of corresponding coring section and shallow lateral resistivity curve, summarizes
The tracing pattern difference of the deep lateral resistivity curve and shallow lateral resistivity curve of corresponding coring section, obtains corresponding coring section
The qualitative features of al-lateral resistivity curve;
C3 carries out quantitative analysis, statistics to the deep lateral resistivity curve of corresponding coring section and shallow lateral resistivity curve
The ratio range of the deep lateral resistivity and shallow lateral resistivity of corresponding coring section, the deep lateral resistivity of corresponding coring section and shallow
The ratio range of lateral resistivity is the quantitative characteristic of the al-lateral resistivity curve of corresponding coring section.
In the present invention, pass through the deep lateral resistivity that coring section is corresponded to karst rubble breccia and shallow lateral resistivity
Ratio range statistics, the ratio of the deep lateral resistivity and shallow lateral resistivity that obtain karst rubble breccia is substantially equal
More than s2 (s2 is constant);Pass through the deep lateral resistivity that coring section is corresponded to karst collapse breccia and shallow lateral resistivity
The ratio of the statistics of ratio range, the deep lateral resistivity and shallow lateral resistivity that obtain karst collapse breccia substantially exists
Between s1 and 1 (s1 is constant);Pass through the deep lateral resistivity that coring section is corresponded to karst accumulation breccia and shallow lateral resistance
The statistics of the ratio range of rate, the ratio of the deep lateral resistivity and shallow lateral resistivity that obtain karst accumulation breccia is substantially
Between s1 and s2 (s2 is constant).
Wherein, s2 < s1 < 1.Wherein, in different zones, constant s1 values are different, and constant s2 values are also different.
Finally, it is found by statistical analysis, if setting country rock GR mean values as A (API), shoulder-bed resistivity (SBR) mean value is C (Ω
M), then karst rubble breccia, karst collapse breccia and karst accumulation breccia have following characteristics:
Karst rubble breccia has following characteristics:GR values are approximately less than A (API), and curve is more straight;Rubble breccia gravel
Between be mostly calcite chemical bond, deep lateral resistivity value is close with C (Ω m), curve is straight slightly fluctuating, bilaterally resistance
Rate curve positive variance, deep lateral resistivity and the ratio of shallow lateral resistivity are more than s2;
Karst caves in breccia with following characteristics:For GR values at a1-a2 (API), GR curves present low high bell, leakage
It is bucket-shaped;It is calcite chemical bond that the charges between the gravel of breccia that cave in show as top more, and lower part is the feature of shale filling;
Deep lateral resistivity value is at c1-c2 (Ω m), and the ratio of deep lateral resistivity and shallow lateral resistivity is between 1-s1;
Karst accumulation breccia has following characteristics:GR values are more than a2 (API), and GR curves present low bell, the case of relative superiority or inferiority
The various forms such as shape;Deep lateral resistivity value is less than c2 (Ω m), the ratio of deep lateral resistivity and shallow lateral resistivity between
Between s1 and s2.
Wherein, country rock mean value can be obtained by pure limestone in rock core in contrast district or pure dolomite;Wherein, same mother
The karst breccia in rock source, a1 and a2, c1 and c2, s1 and s2 values degree of closeness mainly by the more of three classes lithology shale content
The influence of number and its chemical composition less and containing cement.
Step S4 establishes karst breccia recognition mode, according to the karst according to the three classes breccia response characteristic obtained
Breccia recognition mode finally realizes the breccia identification of the full well section of destination layer.
The breccia recognition mode that this step is established, as shown in Figures 2 and 3.Finally, according to fig. 2 with it is shown in Fig. 3
Breccia recognition mode, by the response characteristic of GR curves and deep and shallow resistivity curve with it is corresponding in the breccia recognition mode
Curve response characteristic is compared, and the breccia identification of the full well section of destination layer may be implemented.
Below in conjunction with specific embodiment, the invention will be further described.
Embodiment:
This patent is applied to Fu County block progress Lower Paleozoic strata Ordovician Karstified breccia and especially accumulates breccia knowledge
Not, there is extraordinary application effect.
The GR mean values A of country rock is 60API, a1 70API, a2 100API in the block areas of Fu County, and shoulder-bed resistivity (SBR) is equal
It is 150 Ω .m, deep and shallow resistivity ratio s1=1.1, s2=1.4 that value C, which is 400 Ω .m, c2 for 665 Ω .m, c1,.
7 well 2959.5m-2963.0m of rich Gu, wherein GR values are very low, in 9.7~18.3API, mean value 26.4API, curve
It is straight, it is less than mean value A.Resistivity is relatively low, and between 559~3499 Ω .m, substantially arcuate, deep and shallow resistivity has centainly
Difference, shallow lateral resistivity LLS mean values be 802.8 Ω .m, deep lateral resistivity LLD mean values be 1170.1 Ω .m, be all higher than
C values, LLD/LLS mean values are 1.61 higher than s2.For typical rubble breccia.
3 2835.0~2838.0m of well of nouveaux riches is the breccia that caves at top, and GR values are bell-like, and 35.4~
142.5API, mean value 72API are more than a1 values, but are less than a2, and top numerical value is close with matrix value, and resistivity value is whole more
Gently, LLS values are in 81.5~408.5 Ω .m, and mean value is 169.2 Ω .m, LLD values in 78.6~410.3 Ω .m, and mean value is
174.3 Ω .m are less than c1 values, are higher than c2 values, for deep and shallow resistivity substantially without amplitude difference, LLD/LLS mean values are 1.04, small more than 1
In s1, for the breccia that caves in;2838.0~2839.0m is then the accumulation breccia of bottom, and log GR shows as funnel
Type, 58~142.0API, mean value are 109 API, are more than a2, and resistivity value is whole to be shown as bell, and LLS values are 84.8~249.3
Ω .m, mean value are 124.9 Ω .m, LLD values in 91.4~292.2 Ω .m, and mean value is 138.2 Ω .m, respectively less than c2 values, the depth
For resistivity substantially without amplitude difference, LLD/LLS mean values are 1.10, identical as s1, to accumulate breccia.2835.0~2839.5m wells
It is the breccia that caves in that section, which is rendered as top, and lower part is accumulation breccia combination.
1 well 3122.5~3128.5m, GR tracing pattern of rich Gu shows the stacked of double funnels, and epimere is longer by 3122.5~
3127.5m forms are slow, and hypomere is shorter, and 3127.5~3128.5, form funnel-form, GR numerical value is higher on the whole, and range is 61.4
Between~145.8API, mean value 106.6 is more than a2, and in contrast, numerical value is relatively low for al-lateral resistivity, and LLS ranges are 6.1
~3363.5 Ω .m, mean value 95.6 Ω .m, LLD are less than c2 values, LLD/LLS in 3.9~2948.7 Ω .m, 91.5 Ω .m of mean value
Mean value is 1.19, is more than s1 and is less than s2.For the accumulation breccia of multilayer.
Although by reference to preferred embodiment, invention has been described, the case where not departing from the scope of the present invention
Under, various improvement can be carried out to it and can replace component therein with equivalent.Especially, as long as there is no structures to rush
Prominent, items technical characteristic mentioned in the various embodiments can be combined in any way.The invention is not limited in texts
Disclosed in specific embodiment, but include all technical solutions fallen within the scope of the appended claims.
Claims (10)
1. a kind of karst breccia recognition methods, which is characterized in that include the following steps:
S1 is divided into karst rubble breccia according to the different origin causes of formation, karst breccia, karst caves in breccia and karst accumulation
Breccia;
S2 is identified according to the cave in identification feature of breccia and karst accumulation breccia of karst rubble breccia, karst from core
Go out karst rubble breccia, karst caves in breccia and karst accumulation breccia;
S3 is caved in breccia and karst accumulation breccia using the karst rubble breccia, the karst that identify, correspond to respectively with
On the log of core same position, the response characteristic of corresponding coring section log is obtained;
S4 establishes karst breccia recognition mode according to the response characteristic of the three classes breccia obtained, according to the karst breccia
Recognition mode realizes the breccia identification of the full well section of destination layer.
2. karst breccia recognition methods according to claim 1, which is characterized in that the step S1 further comprises:
The karst breccia formed by the fragmentation in karst period is divided into karst rubble breccia by S11;
S12 will be divided into karst by the karst breccia for caving in and being formed of cave rock in Karst process and cave in breccia;
The karst breccia formed by the underground underground river in karst period or Cave sediments is divided into karst accumulation dust by S13
Rock.
3. karst breccia recognition methods according to claim 1, which is characterized in that in step s 2, according to dust at
Divide, the cementation type between the sliceable property of dust angular shape, dust, dust or shale content identify that karst is broken from core
Broken breccia, karst cave in breccia and karst accumulation breccia.
4. karst breccia recognition methods according to claim 3, which is characterized in that the step S2 further comprises:
If S21 dusts corner angle are clearly demarcated and have sliceable property, between dust be chemical bond and external source shale clast content accounting is small
In 10%, then judge the karst breccia for karst rubble breccia;
If S22 dusts in angular and mixed and disorderly not sliceable, exist between dust for chemical bond and external source shale clast content accounting
Between 10%-25%, then judge the karst breccia for karst collapse breccia;
If S23 dusts have rounding and the dust of a variety of different minerals ingredients is presented, and external source shale clast content accounting is more than
25%, then judge the karst breccia for karst accumulation breccia.
5. karst breccia recognition methods according to claim 1, which is characterized in that in step s3, using identifying
Karst rubble breccia, karst cave in breccia and karst accumulation breccia, correspond to the GR with core same position respectively
On curve, and analyze the response characteristic of the GR curves of corresponding coring section.
6. karst breccia recognition methods according to claim 5, which is characterized in that the step S3 further comprises:
A1 is caved in breccia and karst accumulation breccia using the karst rubble breccia, the karst that identify, correspond to respectively with
On the GR curves of core same position;
A2 carries out qualitative analysis to the GR curves of corresponding coring section, summarizes the tracing pattern of the GR curves of corresponding coring section, obtains
The qualitative features of the GR curves of corresponding coring section;
A3 carries out quantitative analysis to the GR curves of corresponding coring section, by the country rock GR in the GR values of corresponding coring section and corresponding region
Mean value is compared, and counts the range of the GR values of corresponding coring section, obtains the quantitative characteristic of the GR curves of corresponding coring section.
7. karst breccia recognition methods according to claim 1, which is characterized in that in step s3, using identifying
Karst rubble breccia, karst cave in breccia and karst accumulation breccia, correspond to the depth with core same position respectively
On lateral resistivity curve, and analyze the response characteristic of the deep lateral resistivity curve of corresponding coring section.
8. karst breccia recognition methods according to claim 7, which is characterized in that the step S3 further comprises:
B1 is caved in breccia and karst accumulation breccia using the karst rubble breccia, the karst that identify, correspond to respectively with
On the deep lateral resistivity curve of core same position;
B2 carries out qualitative analysis to the deep lateral resistivity curve of corresponding coring section, summarizes the deep lateral resistivity of corresponding coring section
The tracing pattern of curve obtains the qualitative features of the deep lateral resistivity curve of corresponding coring section;
B3 carries out quantitative analysis to the deep lateral resistivity curve of corresponding coring section, by the deep lateral resistivity value of corresponding coring section
It is compared with the shoulder-bed resistivity (SBR) value in corresponding region, counts the range of the deep lateral resistivity of corresponding coring section, obtain phase
Answer the quantitative characteristic of the deep lateral resistivity curve of coring section.
9. karst breccia recognition methods according to claim 1, which is characterized in that in step s3, using identifying
Karst rubble breccia, karst cave in breccia and karst accumulation breccia, correspond to respectively double with core same position
On lateral resistivity curve, and analyze the response characteristic of the al-lateral resistivity curve of corresponding coring section.
10. karst breccia recognition methods according to claim 9, which is characterized in that the step S3 further comprises:
C1 is caved in breccia and karst accumulation breccia using the karst rubble breccia, the karst that identify, correspond to respectively with
On the deep lateral resistivity curve of core same position and shallow lateral resistivity curve;
C2 carries out qualitative analysis to the deep lateral resistivity curve of corresponding coring section and shallow lateral resistivity curve, summarizes corresponding
The tracing pattern difference of the deep lateral resistivity curve of coring section and shallow lateral resistivity curve obtains the bilateral of corresponding coring section
To the qualitative features of resistivity curve;
C3 carries out quantitative analysis to the deep lateral resistivity curve of corresponding coring section and shallow lateral resistivity curve, and statistics is corresponding
The ratio range of the deep lateral resistivity of coring section and shallow lateral resistivity obtains the al-lateral resistivity curve of corresponding coring section
Quantitative characteristic.
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| CN103116192A (en) * | 2012-07-30 | 2013-05-22 | 中国石油化工股份有限公司 | Fissure-cave type carbonate-reservoir reservoir body modeling method |
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