CN106019402A - Method for comprehensively discriminating and verifying paleoclimatic cycle inside extremely thick coal seam - Google Patents
Method for comprehensively discriminating and verifying paleoclimatic cycle inside extremely thick coal seam Download PDFInfo
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- CN106019402A CN106019402A CN201610319308.1A CN201610319308A CN106019402A CN 106019402 A CN106019402 A CN 106019402A CN 201610319308 A CN201610319308 A CN 201610319308A CN 106019402 A CN106019402 A CN 106019402A
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- G01V11/00—Prospecting or detecting by methods combining techniques covered by two or more of main groups G01V1/00 - G01V9/00
Abstract
The invention discloses a method for comprehensively discriminating and verifying a paleoclimatic cycle inside an extremely thick coal seam. The method comprehensively discriminates the paleoclimatic cycle inside the extremely thick coal seam by using a paleobotanical content coefficient method, a petrographic constituent method, a characteristic element method, and a carbon isotope method, assigns corresponding values to recognized paleoclimatic cycles according to the sensitivity of different discrimination methods to the paleoclimate, accumulates total scores of the paleoclimatic cycles, quantitatively describes the reliability of each paleoclimatic cycle, recognizes earth revolution orbit parameters (Milankovitch cycle) included in the logging data by analyzing the logging data of the extremely thick coal seam, compares the Milankovitch cycle with paleoclimatic cycles comprehensively discriminated by the paleobotanical content coefficient method, the petrographic constituent method, the characteristic element method, and the carbon isotope method so as to fundamentally ascertain the earth revolution orbit parameters controlling paleoclimatic cycle development and enhance the paleoclimatic cycle discrimination credibility. The method is convenient, flexible, high in credibility, and good in practicality.
Description
Technical field
The present invention relates to a kind of original place that is suitable for and pile up identifying and the method for checking, especially of Paleoclimatic Cycles in thick sandstone
It it is the method for a kind of comprehensive distinguishing Paleoclimatic Cycles internal with checking thick sandstone.
Background technology
Prediction Future Climate is one of several difficult problems of current facing mankind.Owing to Future Climate does not occur, what is used
Method accurately predicts the variation tendency of Future Climate, becomes the key solving prediction Future Climate Change.According to " by the present
Opinion Gu " thought and relatively geological theory, recognize geology period of history palaeoclimatic Changing Pattern, explore paleo-climate change
Mechanism, and then the weather that prediction is following, this is an important channel of prediction Future Climate.
In the sedimentary rock of earth's surface extensive development, the deposition of coal is very sensitive to the change of weather, simultaneously record in coal
The information of abundant paleo-climate change, coal seam that particularly thickness is huge, it is possible to the Gu of long term in record earth history
Climate change.
In coal seam thickness is classified, the thickness in monolayer coal seam more than 8m referred to as " thick sandstone " (poplar rises, Han Dexin,
1979).The coal seam that much thickness is huge, such as single coal seam thickness of China's Er'lian Basin Shengli Coalfield it is found that in world wide
244.7m, Cole goldfield, the Soviet Union neat good guest coalfield list coal seam thickness 200m, Southern Part of Ordos Basin Jurassic Coalfield monolayer
Coal seam thickness up to more than 90 m, etc..
The research of Paleoclimatic Cycles is more disperseed by forefathers, and object of study complexity is various, the method lacking specific aim, system
Research, and fail inherently to differentiating that result explains, it determines the poor reliability of result.
Summary of the invention
It is an object of the invention to as overcoming above-mentioned the deficiencies in the prior art, it is provided that a kind of comprehensive distinguishing and checking thick sandstone
The method of internal Paleoclimatic Cycles, the method comprehensively uses fossil plants cryptogam, coal rock component, characteristic element, carbon isotope four
Parameter, the Paleoclimatic Cycles within comprehensive distinguishing thick sandstone, it determines result reliability is high;Every kind of method of discrimination is carried out simultaneously
Assignment, so can be quantitative description comprehensive distinguishing reliable results degree;Afterwards, the log data of thick sandstone is carried out the degree of depth
Information excavating, identifies the earth 's orbit parameter (reservoir rock and caprock) contained in thick sandstone, finds out that geologic climate is drilled
The governing factor changed, and then verify correctness and the accuracy of Paleoclimatic Cycles differentiation.
For achieving the above object, the present invention uses following technical proposals:
The method of a kind of comprehensive distinguishing Paleoclimatic Cycles internal with checking thick sandstone, comprises the following steps:
A. data prepares
1) thick sandstone is according to determining deviation system intensive sampling from bottom to top, and each sample carries out fossil plants cryptogam mirror respectively
Fixed, coal petrography test, trace/macroelement test and carbon isotope test;
2) the gamma ray log data of thick sandstone layer position are collected;
B. Paleoclimatic Cycles differentiates
Identify according to the fossil plants cryptogam of sample, coal petrography is tested, trace/macroelement is tested and carbon isotope test number
According to, carry out Paleoclimatic Cycles identification by fossil plants content Y-factor method Y, coal rock component method, characteristic element method, carbon isotope method respectively,
Differentiate that result carries out assignment according to certain scoring criteria to every kind, comprehensively draw quantitative differentiation result;Then, huge thickness is found out
The number of Paleoclimatic Cycles and the average thickness of each Paleoclimatic Cycles present in coal seam;
Institute's fossil plants concrete method of discrimination of content Y-factor method Y is: according to the palynomorph of fossil plants, content in thick sandstone
And the ecological characteristic of cryptogam parent, fossil plants SPORO-POLLEN FOSSILS is divided into four kinds of ecotypes: a. hygrophyte-growing environment
Moist plant;B. drought-halophytes-be grown in the rainfall is plentiful, but higher weak of bigger damp and hot, the salinity of evaporation capacity covers water
Plant in environment;C. the plant that mesad-build environment is more arid;The wettest mesad-between humidogene and mesad
Between the plant of ecotone;
In these ecotype plants, each fossil plants containing coefficient of discharge be the type plant quality content and other
The ratio of three types plant quality content sum;
According to all types of fossil plants height containing coefficient of discharge, the paleo-climate change of thick sandstone deposition phase can be reflected;
Drought-halophytes content COEFFICIENT KH-Y> 1, reflect arid climate, KH-Y< 1 reflection wet climates;
Wet mesad content COEFFICIENT KSZ> 1, reflect wet climates, KSZ< 1 reflection arid climate;
Hygrophyte content COEFFICIENT KSChange is not very sensitive, KS> 0.5 time reflection wet climates;
Mesad is insensitive to weather reflection, does not discusses;
C. Paleoclimatic Cycles checking
The log data (gamma ray log data) of thick sandstone is carried out advanced treating, identifies the earth wherein contained
Revolution orbit parameter, and then identify reservoir rock and caprock;Contain in analysis thick sandstone is joined by each revolution orbit of the earth
The number of the Paleoclimatic Cycles that number form becomes, and the average thickness of each Climate Cycles;With the Paleoclimatic Cycles differentiated in step B
Number and thickness compare, and find out and control the Earth orbital parameters of Paleoclimatic Cycles change in thick sandstone, and then inherently
Illustrate the governing factor of Paleoclimatic Cycles in thick sandstone, thus the correctness of the Paleoclimatic Cycles determined in verification step B
With accuracy.
A determining deviation in described step A is: when coal seam thickness is less than or equal to 50m, spacing is 0.2-0.5m, works as coal seam
Thickness can expand 1m to more than 50m, sampling interval;When the macrolithotype ofcoal thickness of thick sandstone is less than 0.2m, also to protect
Card adopts 1 sample.
In described step B, the concrete method of discrimination of characteristic element method is: the content of the elements Sr sensitive to geologic climate response > 20
μ g/g, reflection weather is xeothermic, and < 0.15 μ g/g reflects weather hygropyrexia;The content of element M n, > 0.15 μ g/g, reflection weather is xeothermic,
< 0.15 μ g/g reflects weather hygropyrexia;Sr/Cu ratio>10 reflection dry hot climates,<10 reflection warm humid climates;Mg/Ca ratio > 0.5
Reflection warm humid climate, < 0.5 reflection arid climate;FeO/Fe2O3Ratio>0.7 reflection wet climates,<0.7 reflection arid climate;
CaO/(MgO+Al2O3) ratio>0.6 reflection temperature climate,<0.6 reflects that relatively cold air is waited;(CaO+K2O+Na2O)/Al2O3Ratio, >
5 reflection arid climates, < 5 reflection moist climates.
In described step B, the concrete recognition methods of coal rock component method is: geologic climate xeothermic period, and in coal rock component, vitrinite contains
Measure relatively low, inertinite content is higher, mirror/lazy ratio < 1;Geologic climate warm and humid period, in coal rock component, vitrinite's content is higher, lazy
Matter group content is relatively low, mirror/lazy ratio > 1.
The ratio size of described mirror/lazy ratio Shi Meizhong vitrinite/inertinite volumn concentration.
In described step B, the concrete method of discrimination of carbon isotope method is: carbon isotope δ13C value lightens (numerical value becomes big), i.e. δ13C value >-21.5 ‰ time, reflection arid, the geologic climate of high temperature;Carbon isotope δ13C value becomes weight (numerical value diminishes), i.e. δ13C value <-
21.5 when ‰, reflection is moist, the geologic climate of low temperature.
Described in described step B, scoring criteria is:
Paleoclimatic Cycles checking in described step C method particularly includes: utilize thick sandstone gamma ray log data identification
The earth 's orbit parameter (reservoir rock and caprock) contained in coal seam, calculate respectively thick sandstone comprises the precession of the equinoxes,
The thickness of the Paleoclimatic Cycles that slope and eccentricity control and number, so with fossil plants Y-factor method Y, coal rock component method, characteristic element
The Paleoclimatic Cycles that element method, carbon isotope method determine carries out checking and analyzes, and finds out the control that Paleoclimatic Cycles is grown from root
Factor processed, is greatly increased the reliability differentiating result.
The present invention is to inherit on the basis of forefathers' part method of discrimination, combine fossil plants containing coefficient of discharge, coal rock component,
The analysis means such as characteristic element, carbon isotope, uses multi-method, multi-angle to carry out the internal Paleoclimatic of comprehensive distinguishing thick sandstone
Return;Meanwhile, the Paleoclimatic Cycles determined to palaeoclimatic sensitivity, is carried out accordingly by the present invention according to different method of discrimination
Assignment, the accumulative PTS drawing each Paleoclimatic Cycles, the reliability describing each Paleoclimatic Cycles of quantification.Afterwards, logical
Cross earth 's orbit parameter identification (reservoir rock and caprock) of log data, from origin mechanism, find out Paleoclimatic Cycles
Development mechanism, and then demonstrate the correctness of Paleoclimatic Cycles comprehensive distinguishing result.
The present invention comprehensively uses fossil plants content Y-factor method Y, coal rock component method, characteristic element method, carbon isotope method, quantitatively
The Paleoclimatic Cycles differentiated within thick sandstone changed, it determines result degree of accuracy is high, highly reliable;On this basis, pass through
Earth 's orbit parameter (reservoir rock and caprock) within well logging data analysis identification thick sandstone, has found out Paleoclimatic
Postback the governing factor educated, and then fundamentally demonstrate the correctness of Paleoclimatic Cycles differentiation result.
Accompanying drawing explanation
Fig. 1 is the Paleoclimatic Cycles figure that fossil plants content Y-factor method Y differentiates within thick sandstone;
Fig. 2 is the Paleoclimatic Cycles figure that coal rock component method differentiates within thick sandstone;
Fig. 3 is the Paleoclimatic Cycles figure that characteristic element method differentiates within thick sandstone;
Fig. 4 is the Paleoclimatic Cycles figure that carbon isotope method differentiates within thick sandstone.
Detailed description of the invention
The present invention is further described with embodiment below in conjunction with the accompanying drawings.
Structure depicted in this specification institute accompanying drawings, ratio, size etc., the most only in order to coordinate disclosed in description in
Hold, understand for those skilled in the art and read, being not limited to the enforceable qualifications of the present invention, therefore do not have skill
Essential meaning in art, the modification of any structure, the change of proportionate relationship or the adjustment of size, can produce not affecting the present invention
Under the effect given birth to and the purpose that can reach, all should still fall in the range of disclosed technology contents obtains and can contain.
Meanwhile, in this specification cited as " on ", D score, "left", "right", the term of " middle " and " " etc., be merely convenient to
Understanding of narration, and it is not used to limit the enforceable scope of the present invention, being altered or modified of its relativeness, changing without essence
Under technology contents, when being also considered as the enforceable category of the present invention.
The preferred forms of the present invention, can be carried out according to following 3 key steps:
It is object of study that the present embodiment chooses coalfield, Southern Part of Ordos Basin Huang Gansu Province Jurassic Period thick sandstone, carries out huge thickness
The differentiation research of the internal Paleoclimatic Cycles in coal seam, seeks more to accurately reflect the parameter of paleo-climate change, and these ginsengs
Number and the dependency of paleo-climate change, identify Paleoclimatic Cycles present in thick sandstone;Afterwards, from earth 's orbit parameter
The angle that (eccentricity, ecliptic obliquity, the precession of the equinoxes) changes, i.e. identifies reservoir rock and caprock, find out the control of paleo-climate change because of
Element, and then from " root ", verify the correctness of Paleoclimatic Cycles identification.
A. data prepares
1) thick sandstone according to determining deviation system intensive sampling from bottom to top when coal seam thickness less than or equal to 50 meters time,
Away from for 0.2-0.5m, when coal seam thickness expands 1m to more than 50m, sampling interval;Macrolithotype ofcoal thickness when thick sandstone
During less than 0.2m, also to ensure to adopt 1 sample.
2) the gamma ray log data of thick sandstone layer position are collected;
B. Paleoclimatic Cycles differentiates
Identify according to the fossil plants cryptogam of sample, coal petrography is tested, trace/macroelement is tested and carbon isotope test number
According to, carry out Paleoclimatic Cycles identification by fossil plants content Y-factor method Y, coal rock component method, characteristic element method, carbon isotope method respectively,
Every kind of recognition result is carried out assignment according to certain scoring criteria, comprehensively draws quantitative recognition result;Then, huge thickness is illustrated
The number of Paleoclimatic Cycles and and average thickness in coal seam.
Above-mentioned scoring criteria is:
C. Paleoclimatic Cycles checking
The log data (gamma ray log data) of thick sandstone is carried out advanced treating, identifies the earth wherein contained
Revolution orbit parameter, and then identify reservoir rock and caprock;Contain in analysis thick sandstone is joined by each revolution orbit of the earth
The number of the Paleoclimatic Cycles that number form becomes, and the average thickness of each Climate Cycles;With the Paleoclimatic Cycles differentiated in step B
Number and thickness compare, and find out and control the Earth orbital parameters of Paleoclimatic Cycles change in thick sandstone, and then inherently
Illustrate the governing factor of Paleoclimatic Cycles in thick sandstone, thus the correctness of the Paleoclimatic Cycles determined in verification step B
With accuracy.
The present invention includes 3 major parts, and one is the differentiation of Paleoclimatic Cycles, and two is Paleoclimatic Cycles differentiation assignment, three
Checking for Paleoclimatic Cycles.
One, the differentiation of Paleoclimatic Cycles
(1) fossil plants content system method
The bulk deposition of fossil plants remains is the material base that coal accumulation occurs, by coal seam pollen and spore in middle ancient times group
The correlation analysis closed and the identification of plant fossil, can recover the Paleo-plant community in coalforming period.Fossil plants cryptogam in coal seam and
In fine debris rock, quantity is various, intact, different types of fossil plants palynological assemblage and ecological characteristic, can reflect coal-forming
Phase is warm moist or hot dry climate.
(dry and wet, cold and hot according to the ecological characteristic of the palynomorph of fossil plants, content and cryptogam parent in thick sandstone
Deng), fossil plants SPORO-POLLEN FOSSILS is divided into four kinds of ecotypes: the plant that a. hygrophyte (S)-growing environment is moist;B. drought-
The rainfall is plentiful for halophytes (H-Y)-be grown in, but planting of covering in water environment of higher weak of bigger damp and hot, the salinity of evaporation capacity
Thing;C. the plant that mesad (Z)-build environment is more arid;The wettest mesad (SZ)-between humidogene and mesad
The plant of ecotone.In these ecotype plants, each fossil plants is the type plant quality containing coefficient of discharge
Content and the ratio of other three types plant quality content sums.According to all types of fossil plants height containing coefficient of discharge, substantially
On can reflect thick sandstone deposition the phase paleo-climate change.Drought-halophytes (K Han coefficient of dischargeH-Y) > 1, reflect arid climate,
< 1 reflection wet climates;Wet mesad (K Han coefficient of dischargeSZ)>1, reflect wet climates,<1 reflection arid climate;Hygrophyte
Containing coefficient of discharge (KS) change be not very sensitive, > 0.5 time reflection environment the moistest;Mesad is insensitive to weather reflection, this
In do not discuss.
Instance analysis: as a example by the 4# thick sandstone of PC hole, JP area, coalfield, Southern Part of Ordos Basin Huang Gansu Province (Fig. 1), according to
The fossil plants of thick sandstone is containing coefficient of discharge: drought-halophytes (K Han coefficient of dischargeH-Y), wet mesad (K Han coefficient of dischargeSZ) and wet
Raw plant content coefficient (KS) change, can identify this thick sandstone formed the phase there are 4 warm and humid-xeothermic geologic climates
Cycle changes, and by being early numbered I, II, III, IV successively to late each Paleoclimatic Cycles, this coal seam thickness is 18.16m, the most often
Individual Climate Cycles thickness is 4.54m.
(2) lithotype and coal quality component method
The maceral type of coal and content are the basic sign of the reflection coal origin cause of formation.Water reduction is being covered in vitrinite (V)
Under the conditions of formed;Inertinite (I) is to be formed at relatively dry oxidizing condition.Mirror/lazy ratio (V/I, also referred to as humidity in coal
Coefficient) size, reflect the degree of the humidity of coalforming period peat bog-dry.Vitrinite's content is high, and inertinite content is low, and mirror/
Lazy ratio (V/I) > 1, reflect weather more warm moist;Vitrinite's content is low, and inertinite content is high, mirror/lazy ratio (V/I) <
1, reflection weather is more hot to be dried.
Instance analysis:
As a example by the 4# thick sandstone of M10 hole, BC area, coalfield, Southern Part of Ordos Basin Huang Gansu Province, according to vitrinite, inertinite
Content and mirror/lazy ratio (V/I) (Fig. 2), can identify 4 warm and humid-xeothermic Paleoclimatic Cycles changes in thick sandstone,
By being early numbered I, II, III, IV successively to late each Paleoclimatic Cycles, this coal seam thickness is 11.30m, average each Climate Cycles
Thickness is 2.83m.
(3) characteristic element method
The content of the elements Sr sensitive to geologic climate response>20 μ g/g, reflection weather is xeothermic, and<0.15 μ g/g reflects weather
Hygropyrexia;The content of element M n,>0.15 μ g/g, reflection weather is xeothermic, and<0.15 μ g/g reflects weather hygropyrexia;Sr/Cu ratio > 10 anti-
Reflect dry hot climate, < 10 reflection warm humid climates;Mg/Ca ratio>0.5 reflection warm humid climate,<0.5 reflection arid climate;FeO/
Fe2O3Ratio>0.7 reflection wet climates,<0.7 reflection arid climate;CaO/(MgO+Al2O3) ratio > the 0.6 warm gas of reflection
Waiting, < 0.6 reflects that relatively cold air is waited;(CaO+K2O+Na2O)/Al2O3Ratio,>5 reflection arid climates,<5 reflection moist climates.
Instance analysis: as a example by the 4# thick sandstone of M10 hole, BC area, coalfield, Southern Part of Ordos Basin Huang Gansu Province, according to gas
Wait the sensitive trace elements and major elements of response and ratio thereof, 4 warm and humid-xeothermic geologic climates can be identified in thick sandstone
Cycle change (Fig. 3), by being early numbered I, II, III, IV successively to late each Paleoclimatic Cycles, this coal seam thickness is 11.30m, flat
The most each Climate Cycles thickness is 2.83m.
(4) carbon isotope method
Organic carbon isotope δ in coal seam13C value can represent temperature and humidity condition during peat deposits, i.e. along with temperature
Raising, what weather became is dried, and peat moor environment oxidisability strengthens, δ13C becomes weight (value becomes big);When atmospheric humidity is relatively low, gas
Hole degree of leading and intracellular CO2Concentration low (value diminishes), thus results in plant cellulose δ13C value increases, and then causes δ in coal13C becomes
Weight.Carbon isotope δ13C value lightens (numerical value becomes big), i.e. δ13C value >-21.5 ‰ time, reflection arid, the geologic climate of high temperature;Carbon is same
Position element δ13C value becomes weight (numerical value diminishes), i.e. δ13< when-21.5 ‰, reflection is moist, the geologic climate of low temperature for C value.
Instance analysis: as a example by the 4# thick sandstone of M11 hole, BC area, coalfield, Southern Part of Ordos Basin Huang Gansu Province, same according to carbon
Position element δ13The change of C value, can identify 4 warm and humid-xeothermic Paleoclimatic Cycles change (Fig. 4) in thick sandstone, by early
Being numbered I, II, III, IV successively to late each Paleoclimatic Cycles, this coal seam thickness is 13.15m, average each Climate Cycles thickness
For 3.28m.
Two, Paleoclimatic Cycles differentiates assignment
The 4 kinds of Paleoclimatic Cycles method of discrimination that the present invention relates to, fossil plants content Y-factor method Y, coal rock component method, feature
Element method, carbon isotope method are direct criterion;Research finds that different method of discrimination is to the sensitivity of Paleoclimatic Cycles not
With, in order to describe the reliability of discontinuity surface more accurately, this research has carried out assignment (table 1), full marks to various method of discrimination
Being 100 points, score is the highest, illustrates that the reliability that this Paleoclimatic Cycles exists is the biggest.Example case study the results are shown in Table 2.E Erduo
In this coalfield, Huang Gansu Province, south, basin, different borings, distinct methods all identify 4 Paleoclimatic Cycles in 4# thick sandstone.
Although the PTS of different Paleoclimatic Cycles is different, but all more than 80 points, credibility is the highest.
The weight assignment of all kinds of diagnostic method of table 1
Paleoclimatic Cycles comprehensive distinguishing result assignment table in table 2 example thick sandstone
Three, Paleoclimatic Cycles checking
The earth has 3 basic revolution orbit parameters, i.e. eccentricity, ecliptic obliquity and the precession of the equinoxes, and these 3 parameters all have each
Cycle period, regular change in different geologic(al) period, and then control the change of weather on the earth.Utilize huge
The gamma ray log data of high seam, can identify earth 's orbit parameter information (Milan section contained in thick sandstone
Tie up strange cycle), so analyze in thick sandstone comprise by the number of the various cycles of different earth 's orbit state modulator
And average thickness;Afterwards, sentence with aforementioned fossil plants content Y-factor method Y, coal rock component method, characteristic element method, carbon isotope method
The number of the Paleoclimatic Cycles not gone out and thickness carry out checking and analyze, and carry out the checking of Paleoclimatic Cycles, add from root
The reliability that Paleoclimatic Cycles differentiates.
Instance analysis: as a example by the thick sandstone of BC, JP area, coalfield, Southern Part of Ordos Basin Huang Gansu Province, owing to Milan section ties up
Strange cycle is a macroscopical Climate Cycles, and in the range of yellow coal region, Gansu Province, change is little;In order to improve accuracy of identification, this
Select thick sandstone row reservoir rock and caprock identification (table 3) of 3 borings in BC and JP area.Yellow M10 hole, BC area, coalfield, Gansu Province
Coal seam thickness 11.3m, identifies 4 Paleoclimatic Cycles by coal rock component method and feature with element method, and Paleoclimatic Cycles is the thickest
Degree is 2.83m, the most identical with the thickness 2.77m of this area's slope period.Coal seam, M11 hole, BC area, coalfield thickness 13.15m, logical
Crossing coal rock component method and feature and identify 4 Paleoclimatic Cycles with element method, Paleoclimatic Cycles average thickness is 3.28m, with this
The thickness 2.83m of area slope period is the most identical.Yellow PC hole, JP area, coalfield, Gansu Province coal seam thickness 18.16m, uses plant content system
Number method identifies 4 Paleoclimatic Cycles, and Paleoclimatic Cycles average thickness is 4.54m, with the thickness 4.12m of this area's slope period
The most identical.To sum up analyzing and understand, in coalfield thick sandstone, Huang Gansu Province, south, Erdos (4#), the thickness of Paleoclimatic Cycles is with oblique
The coal seam cycle thickness of rate periodic Control approximates very much, it is believed that in this thick sandstone, the growth of Paleoclimatic Cycles is by Milan section
Tie up the control of slope period change in strange cycle.And then inherently demonstrate Paleoclimatic Cycles differentiation result, add this
The credibility of bright differentiation Paleoclimatic Cycles.
Reservoir rock and caprock Periodic identification statistical table in the thick sandstone of table 3 Southern Part of Ordos Basin BC, JP area
Although the detailed description of the invention of the present invention is described by the above-mentioned accompanying drawing that combines, but not the present invention is protected model
The restriction enclosed, one of ordinary skill in the art should be understood that on the basis of technical scheme, and those skilled in the art are not
Need to pay various amendments or deformation that creative work can make still within protection scope of the present invention.
Claims (7)
1. a method for comprehensive distinguishing Paleoclimatic Cycles internal with checking thick sandstone, is characterized in that, comprise the following steps:
A. data prepares
1) thick sandstone is according to determining deviation system intensive sampling from bottom to top, each sample carry out respectively fossil plants cryptogam qualification,
Coal petrography test, trace/macroelement test and carbon isotope test;
2) the gamma ray log data of thick sandstone layer position are collected;
B. Paleoclimatic Cycles differentiates
Identify according to the fossil plants cryptogam of sample, coal petrography is tested, trace/macroelement is tested and carbon isotope test data, point
Do not carry out Paleoclimatic Cycles identification, to often by fossil plants content Y-factor method Y, coal rock component method, characteristic element method, carbon isotope method
Plant and differentiate that result carries out assignment according to certain scoring criteria, comprehensively draw quantitative differentiation result;Then, thick sandstone is found out
Present in the number of Paleoclimatic Cycles and the average thickness of each Paleoclimatic Cycles;
Institute's fossil plants concrete method of discrimination of content Y-factor method Y is: according to the palynomorph of fossil plants in thick sandstone, content and
The ecological characteristic of cryptogam parent, is divided into four kinds of ecotypes by fossil plants SPORO-POLLEN FOSSILS: a. hygrophyte;B. drought-salt is raw plants
Thing;C. mesad;The wettest mesad;
In these ecotype plants, each fossil plants is the type plant quality content and other three kinds containing coefficient of discharge
The ratio of type plant quality content sum;According to all types of fossil plants height containing coefficient of discharge, can reflect that thick sandstone sinks
The paleo-climate change of long-pending phase;
Drought-halophytes content COEFFICIENT KH-Y> 1, reflect arid climate, KH-Y< 1 reflection wet climates;
Wet mesad content COEFFICIENT KSZ> 1, reflect wet climates, KSZ< 1 reflection arid climate;
Hygrophyte content COEFFICIENT KSChange is not very sensitive, KS> 0.5 reflection wet climates;
Mesad is insensitive to weather reflection, does not discusses;
C. Paleoclimatic Cycles checking
The log data i.e. gamma ray log data of thick sandstone are done advanced treating, identifies the revolution of the earth rail wherein contained
Road parameter, and then identify reservoir rock and caprock;Contain in analysis thick sandstone is formed by the earth each revolution orbit parameter
The number of Paleoclimatic Cycles, and the average thickness of each Climate Cycles;With in step B differentiate Paleoclimatic Cycles number and
Thickness compares, and finds out and controls the Earth orbital parameters of Paleoclimatic Cycles change in thick sandstone, and then inherently illustrates huge
The governing factor of Paleoclimatic Cycles in high seam, thus the correctness of the Paleoclimatic Cycles determined in verification step B is with accurate
Property.
2. the method for comprehensive distinguishing as claimed in claim 1 Paleoclimatic Cycles internal with checking thick sandstone, is characterized in that, institute
Stating the concrete method of discrimination of characteristic element method in step B is:
The content of the elements Sr sensitive to geologic climate response>20 μ g/g, reflection weather is xeothermic, and<0.15 μ g/g, reflection weather is wet
Temperature;
The content of element M n,>0.15 μ g/g, reflection weather is xeothermic, and<0.15 μ g/g reflects weather hygropyrexia;
Sr/Cu ratio>10 reflection dry hot climates,<10 reflection warm humid climates;
Mg/Ca ratio>0.5 reflection warm humid climate,<0.5 reflection arid climate;
FeO/Fe2O3Ratio>0.7 reflection wet climates,<0.7 reflection arid climate;
CaO/(MgO+Al2O3) ratio>0.6 reflection temperature climate,<0.6 reflects that relatively cold air is waited;
(CaO+K2O+Na2O)/Al2O3Ratio,>5 reflection arid climates,<5 reflection moist climates.
3. the method for comprehensive distinguishing as claimed in claim 1 Paleoclimatic Cycles internal with checking thick sandstone, is characterized in that, institute
The determining deviation stated in step A is: when coal seam thickness is less than or equal to 50m, spacing is 0.2-0.5m, when coal seam thickness exceedes
50m, sampling interval expands 1m to;When the macrolithotype ofcoal thickness of thick sandstone is less than 0.2m, also to ensure to adopt 1 sample
Product.
4. the method for comprehensive distinguishing as claimed in claim 1 Paleoclimatic Cycles internal with checking thick sandstone, is characterized in that, institute
Stating the concrete recognition methods of coal rock component method in step B is:
Geologic climate xeothermic period, in coal rock component, vitrinite's content is relatively low, inertinite content is higher, i.e. mirror/lazy ratio < 1;
Geologic climate warm and humid period, in coal rock component, vitrinite's content is higher, inertinite content is relatively low, i.e. mirror/lazy ratio > 1;
The ratio size of described mirror/lazy ratio Shi Meizhong vitrinite/inertinite volumn concentration.
5. the method for comprehensive distinguishing as claimed in claim 1 Paleoclimatic Cycles internal with checking thick sandstone, is characterized in that, institute
Stating the concrete method of discrimination of carbon isotope method in step B is:
Carbon isotope δ13The C value i.e. numerical value that lightens becomes big, i.e. δ13C value >-21.5 ‰ time, reflection arid, the geologic climate of high temperature;
Carbon isotope δ13It is heavily that numerical value diminishes that C value becomes, i.e. δ13< when-21.5 ‰, reflection is moist, the geologic climate of low temperature for C value.
6. the method for comprehensive distinguishing as claimed in claim 1 Paleoclimatic Cycles internal with checking thick sandstone, is characterized in that, institute
The assignment stated in scoring criteria described in step B is respectively as follows:
Fossil plants content Y-factor method Y be entered as 35;
Coal rock component method be entered as 30;
In characteristic element method, the assignment of Sr, Mn, Sr/Cu and Mg/Ca is 4;FeO/Fe2O3、CaO/(MgO+Al2O3) and (CaO+
K2O+Na2O)/Al2O3Assignment be 3;
Carbon isotope method be entered as 10.
7. the method for comprehensive distinguishing as claimed in claim 1 Paleoclimatic Cycles internal with checking thick sandstone, is characterized in that, institute
State Paleoclimatic Cycles checking in step C method particularly includes: utilize in thick sandstone gamma ray log data identification coal seam and contain
Earth 's orbit parameter i.e. reservoir rock and caprock, calculate the precession of the equinoxes, slope and the bias comprised in thick sandstone respectively
The thickness of the Paleoclimatic Cycles that rate controls and number, and then with fossil plants Y-factor method Y, coal rock component method, characteristic element method, carbon together
The Paleoclimatic Cycles that position element method determines carries out checking and analyzes, and finds out the governing factor that Paleoclimatic Cycles is grown, increase from root
Add the reliability differentiating result.
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Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107153215A (en) * | 2017-04-19 | 2017-09-12 | 中国石油大学(华东) | A kind of depositional model construction method under the constraint based on arid climate |
CN110529106A (en) * | 2019-07-12 | 2019-12-03 | 中国石油天然气集团有限公司 | A method of coal seam maceral content is determined using well-log information |
CN112766148A (en) * | 2021-01-18 | 2021-05-07 | 河南大学 | Method and system for identifying stratum deposition rhythm disturbed and alluvial by human |
CN113065236A (en) * | 2021-03-19 | 2021-07-02 | 吉林大学 | Analysis method for continuous sediment paleoclimate substitution index tashengmycin gyrus change |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP1182466A1 (en) * | 2000-08-14 | 2002-02-27 | Enres Energy Resources International B.V. | System of processing and presenting drill hole data |
US20120084249A1 (en) * | 2010-10-05 | 2012-04-05 | Src, Inc. | Method for pollen-based geolocation |
CN102436013A (en) * | 2011-07-19 | 2012-05-02 | 北京师范大学 | Method for partitioning glutenite sedimentary period based on Fischer diagram |
CN105044797A (en) * | 2015-08-06 | 2015-11-11 | 中国石油天然气股份有限公司 | Method for quantitatively recovering carbonate rock stratum denudation quantity |
CN105201492A (en) * | 2015-09-07 | 2015-12-30 | 山东科技大学 | Method for comprehensively recognizing sedimentation hiatal surfaces in ultra-thick seam |
CN105388522A (en) * | 2014-09-04 | 2016-03-09 | 中国石油化工股份有限公司 | Well-to-seismic integration sedimentary cycle matching analysis method |
-
2016
- 2016-05-12 CN CN201610319308.1A patent/CN106019402B/en active Active
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP1182466A1 (en) * | 2000-08-14 | 2002-02-27 | Enres Energy Resources International B.V. | System of processing and presenting drill hole data |
US20120084249A1 (en) * | 2010-10-05 | 2012-04-05 | Src, Inc. | Method for pollen-based geolocation |
CN102436013A (en) * | 2011-07-19 | 2012-05-02 | 北京师范大学 | Method for partitioning glutenite sedimentary period based on Fischer diagram |
CN105388522A (en) * | 2014-09-04 | 2016-03-09 | 中国石油化工股份有限公司 | Well-to-seismic integration sedimentary cycle matching analysis method |
CN105044797A (en) * | 2015-08-06 | 2015-11-11 | 中国石油天然气股份有限公司 | Method for quantitatively recovering carbonate rock stratum denudation quantity |
CN105201492A (en) * | 2015-09-07 | 2015-12-30 | 山东科技大学 | Method for comprehensively recognizing sedimentation hiatal surfaces in ultra-thick seam |
Non-Patent Citations (4)
Title |
---|
曾永耀 等: "柴达木盆地咸水泉剖面三河组基于古气候环境的成煤远景评价", 《煤》 * |
李凤杰等: "测井曲线频谱分析在含煤地层沉积旋回研究中的应用", 《煤田地质与勘探》 * |
王东东 等: "琼东南盆地渐新世崖城组基准面旋回划分与转换机制", 《中国矿业大学学报》 * |
闫存凤等: "陕西榆林地区中侏罗统延安组孢粉组合及聚煤环境探讨", 《沉积学报》 * |
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107153215A (en) * | 2017-04-19 | 2017-09-12 | 中国石油大学(华东) | A kind of depositional model construction method under the constraint based on arid climate |
CN110529106A (en) * | 2019-07-12 | 2019-12-03 | 中国石油天然气集团有限公司 | A method of coal seam maceral content is determined using well-log information |
CN110529106B (en) * | 2019-07-12 | 2023-04-07 | 中国石油天然气集团有限公司 | Method for determining content of coal seam micro-components by using logging information |
CN112766148A (en) * | 2021-01-18 | 2021-05-07 | 河南大学 | Method and system for identifying stratum deposition rhythm disturbed and alluvial by human |
CN113065236A (en) * | 2021-03-19 | 2021-07-02 | 吉林大学 | Analysis method for continuous sediment paleoclimate substitution index tashengmycin gyrus change |
CN113065236B (en) * | 2021-03-19 | 2022-03-11 | 吉林大学 | Analysis method for continuous sediment paleoclimate substitution index tashengmycin gyrus change |
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