CN115639622B - Quantitative recovery method for dry and wet factors of ancient climate - Google Patents
Quantitative recovery method for dry and wet factors of ancient climate Download PDFInfo
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
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Abstract
The invention provides a quantitative recovery method for the dry and wet factors of an ancient climate, which comprises the following steps: step 1, collecting basin background and geological data; step 2, core sampling and slice preparation are carried out; step 3, performing species identification and dry and wet factor calculation on the archaea spore powder; step 4, performing trace element test on a system mudstone sample of the well; step 5, performing oxygen isotope testing on a system mudstone sample of the well; step 6, calculating the C value and Rb/Sr of the ancient climate; step 7, performing mathematical fitting of the dry and wet factors and C values, rb/Sr and oxygen homonymies; and 8, quantitatively recovering the dry and wet factors of the paleoclimates of the key well. The quantitative calculation result of the ancient climate dry and wet factors, which is completed by the quantitative recovery method of the ancient climate dry and wet factors, can provide a favorable guiding effect for the exploration object prediction of the lake Hunan multi-type high-quality reservoirs and high-quality shale.
Description
Technical Field
The invention relates to the technical fields of sedimentary basin related theoretical research, technical application and oil and gas field geological exploration, in particular to a quantitative recovery method for a dry and wet factor of an ancient climate.
Background
The paleo-climate recovery is an important research work in oil-gas geological exploration, has a control effect on the evolution process of basin deposition environment, various geological effects and deposit formation, and particularly has an important indication effect on paleo-geographic conditions on the basis of the supply rate of a substance source and the characteristics of paleo-deposition water medium.
The climate itself includes four aspects of cold, heat, dry and wet, and can further form four different climates of dry and cold, dry and hot, wet and cold and wet and hot. The achievement of the fourth-period climate shows that the eastern Asia climate zone can be divided into Asia monsoon climate zone and Western weather zone climate, most areas in China are in the influence range of Asia monsoon climate zone, the monsoon climate zone has summer monsoon from ocean, warm and moist, the winter monsoon comes from inland, cold and dry; whereas western wind zones are exactly opposite in climate, obey the law of synchronization of ice period and rain period, i.e. the change of climate is between cold and wet and dry and heat. According to Zhu Zonghao and the like (2000), research on sporopollen science of ancient climates of Shandong victory oil fields shows that the deposition period of the ancient climates of Jiyang depression in a key objective layer sand river street group is Asia monsoon climate, and the main expression is dry-wet alternation, and the temperature change range is smaller, and the dry-wet change degree is larger; the deposition period of the eastern camping group is western wind zone climate, which is characterized by cold-wet and dry-hot alternation. However, as the main oil producing layer of the sand river street group, the study of the longitudinal rotation change of the paleoclimate of the target layer is critical, so that the paleoclimate of the Jiyang depression in the deposition period of the sand river street group mainly shows frequent change of dryness and wetness and has small fluctuation of temperature change, and the invention is also mainly proposed around the comprehensive quantitative recovery method of the dry and wet factors of the paleoclimate.
The prior common paleoclimate restoration method mainly comprises two major types of qualitative and semi-quantitative methods, the characteristic is characterized by qualitative special paleoliving things, special rock minerals, sediment colors, sediment structures and the like, the prior main stream paleoclimate dry and wet change is a semi-quantitative method, the methods comprise a paleoliving things spore powder content method, a clay mineral content method, a rare earth element method, a microelement method, a magnetic susceptibility method, an isotope method and the like, the relative paleoclimate change rules of laketubs in different geological history periods can be restored semi-quantitatively by the application of the methods, and the data types are often incomplete, the value ranges restored by the different methods are only limited to the semi-quantitative characterization of the method for paleoclimate environments of certain basin areas, and the numerical values among the different methods are not comparable, so that the methods have unified dimensions.
For the application of the semi-quantitative specific method, the more common ancient climate indexes are as follows: the paleosporine content method, the oxygen isotope method, the clay mineral content method, the clay magnetic susceptibility method and some geochemical index methods, such as microelements Rb/Sr, mg/Ca, sr/Mg, ca/S i +Al, sigma (Fe+Zn+Cr+V+Co+Ni)/(Sigma+Mg+Sr+Ba+Na+K) (Zhang Jianxin, 1996; crown citizen, 2005; wang Yanzhang, 2012), and the indexes of rare earth elements (REE, δEu, sigma REE, LREE/HREE), geochemical leaching coefficient ((CaO+MgO+Na 2O+K2O)/Al2O3) and the like can reflect the climate change to a certain extent (Liu Ning, 2009; chen Liang, 2009; yang Weili and the like, 1998).
Among the above technical methods, 3 methods of archaea spore powder, microelements and carbon-oxygen isotopes are more sensitive to climate reflection, which are simpler in data acquisition, more mature in technology, and the specific principle and applicability of the methods are analyzed as follows:
The spore powder in the sediment is widely distributed, and researches show that the ancient climate can be quantitatively recovered by utilizing the percentage content of the spore powder. The change of the percentage content of various spore powder of drought plants and happy wet plants in the section can better represent the quantitative index of the environment where the ancient climate is located at the moment. Meanwhile, the spore powder has rich data, and is divided into a heat preference group, a temperature preference group, a drought group and a wet group according to the suitability of spore powder parent plants for air temperature and drying (prince 2005). According to the spore powder classification, after the average content of each ecological group in different periods and the average number of each cover sheet are respectively calculated, the temperature ratio and the humidity ratio are reflected according to the following formula: temperature ratio = number of spore particles per cover slip x heat preference group/(heat preference group + Wen Zu); humidity ratio = number of spores per coversheet x wet group/(wet group + dry group). Therefore, the longitudinal gyratory of the temperature and the humidity of the characteristic basin in a certain period can be effectively recovered by utilizing the longitudinal content change of the spore powder, and the aim of quantitatively recovering the dry and wet factors of the ancient climate is fulfilled. As the spore powder is mostly stored in the mudstone sample and is basically not limited by the sediment type, the object source system and the fresh water injection, the quantitative method for recovering the ancient climate is reliable and applicable to a wide basin, and has the defects that a large amount of workload is required for manual identification of the quantity of different spore powder types in the cover sheet, and insufficient data is caused to make quantitative characterization difficult.
In addition, the geochemical microelement method is widely used for characterizing ancient climates. In arid, semiarid or arid climatic environments, geochemical action is weakened, precipitation is rare, runoff and carried substance components are reduced, sedimentation is weakened, so that general elements are relatively reduced in sediments of the lake, soluble elements reflecting salinity are gradually gathered, and therefore, changes of the climatic environment obviously cause abdominal muscles of part of the elements. Under the moist climate condition, the content of Fe, A1, V, ni, ba, zn, co and other elements in sedimentary rock is higher, which indicates that the lake water is desalted, is a period of high lake surface and reflects the moist climate environment; under the condition of dry climate, the alkalinity of the water medium is enhanced, na, ca, mg, cu, sr, mn is greatly separated out to form various salts to be deposited on the water bottom, so that the content of the salts is relatively increased, the low-lake surface period is reflected, and the reflected climate is warm dry or dry cold period. Therefore, the relative proportion relation of the two elements can be used for calculating the value of the paleoclimate index 'C' [ C= Σ (Fe+Zn+Cr+V+Co+Ni)/(Ca+Mg+Sr+Ba+Na+K) ], and according to the magnitude of the value, the paleoclimate index is larger, the more moist and the less drought; in addition, the ratio of Rb/Sr is one of the usual terrestrial geochemical indicators under sea conditions, and it is generally believed that the ratio decreases under humid conditions and increases under drought conditions. Research has suggested that land-phase basins are quite different from sea-phase environments. In a sea environment, when the climate is humid, the chemical weathering of an object area is strong, rb is adsorbed by clay after being separated out and remains in situ, sr enters the sea along with river water, so that the Rb/Sr ratio in the humid environment is reduced; however, in land-phase basins, although chemical weathering is strong under humid conditions, rb is largely precipitated and adsorbed by clay, but these clays generally do not remain in place, but are mainly degraded and transported into the basin, a large amount of clay adsorbing Rb is transported to the center of the lake to be deposited, and at the same time, dissolved Sr 2+ entering the lake basin is generally deposited in the same manner as carbonates in dry and dry conditions, so that the Rb/Sr ratio in humid environments is increased. Thus, in a land basin, the meaning of the Rb/Sr ratio is effective to indicate a gyratory change in the paleo-climate change of the land lake basin.
Another method is an isotope method, and representative methods are carbon-oxygen isotopes, strontium isotopes, molybdenum isotopes, and the like, wherein the strontium isotopes and the molybdenum isotopes are so expensive that the samples are rare, and carbon-oxygen isotopes are more widely used. Since the carbonate content in the sediment has a more sensitive reflection on the climate, but the carbonate content is often affected by certain non-climatic factors, such as photosynthesis of algae in the lake water, adsorption of carbonates by lake algae, etc., compared with the stable carbon oxygen isotopes of the self-generated carbonates of the lake phase, which are more sensitive and accurate in climate reflection and have more information content, the change of oxygen isotopes is mainly applied when analyzing the paleoclimates (the carbon isotopes are often related to more non-climatic factors, such as organic carbon isotopes, vital activities, etc.). However, the oxygen isotope of the autogenous carbonate is not an ideal indicator of climate change, and one of them is that the problem of climate zone in deposition must be considered; secondly, the problem of influence of river water injection must be considered, and if oxygen isotopes in a deposition environment are diluted by fresh water injection, the reflection of the oxygen isotopes on climate is limited; thirdly, carbon-oxygen isotopes are only distributed in carbonate rock phases, and archaic climate characterization in clastic rock sediments is limited due to limited sampling rock phases. Therefore, the method is carefully applied, the values of oxygen isotopes which are comprehensively influenced by differences of climate, object source, lithofacies and the like are required to be comprehensively considered, and if the values have obvious correlation with the content of the archaea powder representing the climate environment change, the method has a certain application value of the archaic climate recovery method.
In conclusion, the method for recovering the cold, hot, dry and wet of the basin ancient climate by using the archaea spore powder content method is most reliable, and the method has wide applicability because vast terrestrial lakes in China contain a large amount of spore powder types and content, and the gyratory change of climate can be effectively quantified by calculating the spore powder content of different climate types. In contrast, the carbon-oxygen isotope can also recover the change of the ancient climate more effectively, and the carbon-oxygen isotope is mainly stored in a small amount of carbonate rock, has relatively high test cost and general data support degree and can be used as an auxiliary means; in addition, the geochemical microelements can reflect the change of the paleoclimate, and at present, 2 types of sigma (Fe+Zn+Cr+V+Co+Ni)/(sigma (Ca+Mg+Sr+Ba+Na+K) and Rb/Sr can effectively reflect the change of the paleoclimate.
The system analysis considers that the dry and wet factors calculated by the spore powder content in the ancient climates have quantitative characterization significance in the ancient climates, and the method needs a large amount of sheet identification and spore powder content calculation, is very complicated to operate and is difficult to implement. To this end, we invented a new quantitative recovery method for the dry and wet factors of the ancient climate.
Disclosure of Invention
The invention aims to provide a quantitative recovery method for the dry and wet factors of paleoclimates, which is applied to paleoclimates evolution history of a sedimentary basin and change of paleoliving things, trace elements and oxygen isotopes in a lake basin.
The aim of the invention can be achieved by the following technical measures: the quantitative recovery method for the archaic weather dry and wet factors comprises the following steps:
Step 1, collecting basin background and geological data;
step 2, core sampling and slice preparation are carried out;
step3, performing species identification and dry and wet factor calculation on the archaea spore powder;
Step 4, performing trace element test on a system mudstone sample of the well;
Step 5, performing oxygen isotope testing on a system mudstone sample of the well;
Step6, calculating the C value and Rb/Sr of the ancient climate;
step 7, performing mathematical fitting of the dry and wet factors with the C value, rb/Sr and oxygen isotopes;
And 8, quantitatively recovering the dry and wet factors of the paleoclimates of the key well.
The aim of the invention can be achieved by the following technical measures:
in step 1, basic evolution characteristics of the type, scale and paleo-climate of the lake basin of the study object are ascertained from the actually mastered geological data and literature data, and the drilling coring of the sedimentary basin and the analysis and test data in the relevant room are collected.
In the step 2, a long well section coring well of a key well in the basin is optimized, systematic mudstone sampling is carried out, and the spore powder type identification is carried out through grinding of a microscopic slice.
In step 3, identification of species of the archaea spore powder species of the microscopic photograph under the microscope of each mudstone sample is carried out, and types and numbers of different species in the visual field range are counted.
In the step 3, the dry and wet factor of the sample is quantitatively calculated by using a dry and wet factor=the number of spore particles per cover slip×the wet group/(the wet group+the dry group) of the regional archery powder and the calculation formula.
In step 4, a trace element test is performed on a mudstone sample of a key well centered on a long well section, wherein the tested elements at least comprise Fe, zn, cr, V, co, ni, ca, mg, sr, ba, na, K, rb, sr types.
In step 5, an oxygen isotope content test is performed on a mudstone sample of a key well of which the long well section is cored.
In step 6, trace element tests were performed on the system mudstone sample of the well, and the test results were calculated as the following 2 element ratios, namely 2 kinds of paleo-climate C values, i.e., Σ (fe+zn+cr+v+co+ni)/Σ (ca+mg+sr+ba+na+k) and trace element ratio Rb/Sr, respectively.
In the step 7, the calculated results of the dry and wet factors of the archaic climate and the microelement ratio, namely Sigma (Fe+Zn+Cr+V+Co+Ni)/(Ca+Mg+Sr+Ba+Na+K), rb/Sr and oxygen isotopes, obtained by calculation of the spore powder in the sample are subjected to mathematical fitting, the correlation between the three and the dry and wet factors of the archaic climate is analyzed, parameters with a correlation coefficient R 2 more than 0.70 are screened, and a fitting formula is established.
In step 7, the fitting formula established is:
Y＝1.6888X1 3-3.0298X1 2+1.9819X1-0.1049 R2＝0.8147
Y＝9.3065X2 3-3.7982X2 2+0.5373X2+0.0094 R2＝0.7568
Y＝-1240X3 3+637.64X3 2-109.51X3-2.7685 R2＝0.7403
y-ancient climate dry and wet factors; x 1 -ancient climate C value, i.e., sigma (Fe+Zn+Cr+V+Co+Ni)/(Ca+Mg+Sr+Ba+Na+K); x 2 -ancient climate Rb/Sr value; x 3 -archaic oxygen isotopes.
In the step 8, the quantitative recovery of the dry and wet factors of the ancient climates of the key well is carried out by utilizing the unified quantitative mathematical relationship established by the microelement ratio, the oxygen isotope and the dry and wet factors of the spore powder of the ancient climates, the dry and wet gyratory changes of the ancient climates of different layers are cleared, and the quantitative recovery of the dry and wet factors of the ancient climates of the key layer of the key well is completed.
The invention relates to a quantitative recovery method of a dry and wet factor of a paleoclimate, which is a comprehensive quantitative calculation method of the dry and wet factor of the paleoclimate, which is applied to paleogeographic climate change of a sedimentary basin, paleobiological spore powder content in a lake basin, microelement ratio and oxygen isotope. Based on the correlation among the content method of the archaea spore powder, microelements, oxygen isotopes and the archaic climate dry-wet factors in the modern lake basin sediment, the method can accurately recover the dry-wet changes of the climate due to the content changes of the preferred dry-wet types of the archaea, can be used as a key technology of quantitative recovery, however, the analysis and the test of the method are complicated and difficult to implement, and under the background, the method provides the method for representing the dry-wet changes of the archaic climate formed by the sediment by combining the microelements sigma (Fe+Zn+Cr+V+Co+Ni)/sigma (Ca+Mg+Sr+Ba+Na+K), rb/Sr ratio and carbon-oxygen isotopes, and realizes the archaic climate dry-wet factors under unified dimension by establishing mathematical relations. The method further improves the ancient climate recovery means, and provides new research ideas and technical means for the research of the deposition evolution process of ancient lakes.
The method is mainly suitable for quantitative recovery of the dry and wet factors of the paleoclimates deposited on the lake. The quantitative calculation result of the archaic climate dry and wet factors, which is completed by the method, can provide a favorable guiding function for the exploration object prediction of the Hunan multi-type high-quality reservoir and high-quality shale.
Drawings
FIG. 1 is a flow chart of a method for quantitatively recovering the archaic climate dryness and humidity factors according to an embodiment of the present invention;
FIG. 2 is a plot of dry and wet factors of the archetypalar climate versus the archetypalar C value (ΣFe+Zn+Cr+V+Co+Ni)/(Ca+Mg+Sr+Ba+Na+K) for an embodiment of the present invention;
FIG. 3 is a graph showing the relationship between the dry and wet factors of the archesporial spore powder paleoclimate and Rb/Sr values of the paleoclimate in accordance with one embodiment of the present invention;
FIG. 4 is a graph showing the relationship between dry and wet factors of the A-staurosporine climate and the oxygen isotope of the archaic climate in an embodiment of the invention;
FIG. 5 is a graph of a dry and wet factor synthesis for a W1 well paleo-climate for an embodiment of the present invention;
FIG. 6 is a graph of a dry and wet factor synthesis for a-pit W2 well paleoclimate in accordance with one embodiment of the present invention;
FIG. 7 is a plot of the correlation of the archaic climate dry and wet factors and the archaic climate C values for the A pit W3 well in accordance with an embodiment of the present invention.
Detailed Description
It should be noted that the following detailed description is exemplary and is intended to provide further explanation of the invention. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of exemplary embodiments according to the present invention. As used herein, the singular forms also are intended to include the plural forms unless the context clearly indicates otherwise, and furthermore, it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, and/or combinations thereof.
The quantitative recovery method of the dry and wet factors of the ancient climate is realized in the following way:
(1) Based on the geological data and literature data which are actually mastered, basic evolution characteristics such as the type and scale of the lake basin and the ancient climate of the lake basin of a study object are ascertained, and the drilling core of the sedimentary basin and the analysis and test data in a relevant room are collected.
(2) And (3) preferably selecting a long well section coring well of a key well in the basin, carrying out systematic mudstone sampling, grinding by a microscopic sheet, identifying the type of the spore powder, and quantitatively calculating dry and wet factors according to the spore powder identification result of the sample by utilizing a classification table of the dry preference and the wet preference of the ancient spore powder in the region.
(3) Performing microelement tests on a system mudstone sample of the well, and performing the following 2 element ratio calculation on test results, wherein the test results are 2 elements of a paleo-climate C value (Sigma (Fe+Zn+Cr+V+Co+Ni)/(Sigma (Ca+Mg+Sr+Ba+Na+K)) and a microelement ratio Rb/Sr respectively;
(4) Performing an oxygen isotope test on a system mudstone sample of the well;
(5) Performing mathematical fitting on the calculated results of the dry and wet factors of the ancient climate, microelement ratio (sigma (Fe+Zn+Cr+V+Co+Ni)/(sigma (Ca+Mg+Sr+Ba+Na+K)) and Rb/Sr, oxygen isotopes and the like of the spore powder in the sample, analyzing the correlation between the three and the dry and wet factors of the ancient climate, screening out parameters of R 2 (correlation coefficient) >0.70, and establishing a 3-item fitting formula;
(6) And (3) carrying out quantitative recovery of the dry and wet factors of the ancient climates of the key well by utilizing a unified quantitative mathematical relationship established by the microelement ratio, the oxygen isotope and the dry and wet factors of the spore powder of the ancient climates, and clearing the dry and wet gyratory changes of the ancient climates of different layers to finish quantitative recovery of the dry and wet factors of the ancient climates of the key layer of the key well.
The invention preferably selects microelement ratio (sigma (Fe+Zn+Cr+V+Co+Ni)/sigma (Ca+Mg+Sr+Ba+Na+K)), rb/Sr and oxygen isotopes to have good correlation with the dry and wet factors of the ancient climates, and as different methods have respective dimension and numerical ranges, the dry and wet laws of the ancient climates calculated by the methods can not be compared in unified basins, so the invention provides mathematical correlation between the three and the dry and wet factors of the ancient climates, thereby realizing the recovery of the dry and wet factors of the ancient climates under the unified dimension, the method gets rid of the support of geological data controlled by a certain type, and can perform quantitative recovery of the dry and wet factors of the ancient climates of basins by a plurality of methods.
The following are several specific examples of the application of the present invention.
Example 1:
In the embodiment 1 to which the present invention is applied, as shown in fig. 1, fig. 1 is a flowchart of the quantitative recovery method of the present invention with respect to the archaic climate dry and wet factors. The quantitative calculation of the archaic climate dry and wet factors comprises the following specific steps:
(1) Basin background and geologic data collection
Based on the geological data and literature data which are actually mastered, basic evolution characteristics such as the type and scale of the lake basin and the ancient climate of the lake basin of a study object are ascertained, and the drilling core of the sedimentary basin and the analysis and test data in a relevant room are collected.
(2) Core sampling and flake preparation (step 101)
Preferably a long well section coring well of a key well in the basin, carrying out systematic mudstone sampling, grinding by a microscopic slice and carrying out sporopollen type identification,
(3) Ancient organism spore powder species identification and dry-wet factor calculation (step 102)
Carrying out identification of species of the archaea spore powder of microscopic photos of each mudstone sample, counting types and numbers of different species within a visual field, and then utilizing a classification table of the archaea powder of the region to obtain a dry-like and wet-like characteristic, and utilizing a calculation formula dry-wet factor = the number of spore particles per cover slip x the wet group/(the wet group + the dry group) to complete quantitative calculation of the dry-wet factor of the sample (tables 1 and 2);
(4) Testing of microelements (step 103)
Performing a trace element test on a mudstone sample of a key well with a long well section coring, wherein the tested elements at least comprise Fe, zn, cr, V, co, ni, ca, mg, sr, ba, na, K, rb, sr types;
(5) Testing of oxygen isotopes (step 104)
Performing a content test of oxygen isotopes for mudstone samples of a long section cored key well (table 2);
(6) Calculation of the archaic C value and Rb/Sr (steps 105, 106)
Performing microelement tests on a system mudstone sample of the well, and performing the following 2 element ratio calculations on the test results, wherein the results are 2 elements of a paleo-climate C value (Sigma (Fe+Zn+Cr+V+Co+Ni)/(Sigma (Ca+Mg+Sr+Ba+Na+K)) and a microelement ratio Rb/Sr (table 1 and table 2);
(7) Mathematical fitting of the wetting and wetting factors to the C value, rb/Sr and oxygen isotopes (step 107)
Performing mathematical fitting on the calculated results of the dry and wet factors of the ancient climate, microelement ratio (sigma (Fe+Zn+Cr+V+Co+Ni)/(sigma (Ca+Mg+Sr+Ba+Na+K)) and Rb/Sr, oxygen isotopes and the like of the spore powder in the sample, analyzing the correlation between the three and the dry and wet factors of the ancient climate, screening out parameters of R 2 (correlation coefficient) to be more than 0.70, and establishing 3 fitting formulas (figures 2, 3 and 4);
Y＝1.6888X1 3-3.0298X1 2+1.9819X1-0.1049 R2＝0.8147
Y＝9.3065X2 3-3.7982X2 2+0.5373X2+0.0094 R2＝0.7568
Y＝-1240X3 3+637.64X3 2-109.51X3-2.7685 R2＝0.7403
Y-ancient climate dry and wet factors; x 1 -ancient climate C value, i.e., sigma (Fe+Zn+Cr+V+Co+Ni)/(Ca+Mg+Sr+Ba+Na+K); x 2 -ancient climate Rb/Sr value; x 3 -ancient climatic oxygen isotope
(8) Ancient climate dry and wet factor quantitative recovery of key well (step 108)
And (3) carrying out quantitative recovery of the dry and wet factors of the ancient climates of the key well by utilizing a unified quantitative mathematical relationship established by the microelement ratio, the oxygen isotope and the dry and wet factors of the ancient climates of the key well, and clearing the dry and wet gyratory changes of the ancient climates of different layers to finish quantitative recovery of the dry and wet factors of the ancient climates of the key layer of the key well (figures 5 and 6).
Example 2:
In a specific example 2 of the application of the invention, the study object is the X-group section sediment of the A-concave sand river street group, and the sediment is considered to be a set of land-phase lake basin sediment of shallow water-deep lake through comprehensive analysis of geological data. Through the comparison analysis of the type, scale, paleo-climate and other aspects of the lake basin, the paleo-lake climate forming the target layer is considered to be mainly controlled by the frequent change of drying and wetting, and the change interval of temperature is smaller, so that the recovery of the paleo-climate dry and wet factors of the lake basin has important significance. Through literature data research, the predecessor samples a large amount of samples through mudstone samples, and part of key wells have long well section system coring, and have a certain sporopollen identification data, very rich trace element test and a small amount of oxygen isotope test data.
Firstly, analyzing test data through system sporopollen of a key well, counting the number of the sporopollen which is happy with drought and is happy with humidity of each sample, and calculating the archaic weather dry and wet factors (table 1 and table 2) of the sample;
Table 1A concave X group W1 well ancient climate comprehensive data table
Table 2A concave Y-group W2 well ancient climate comprehensive data table
Then, each sample with the same depth was subjected to a trace element test and an oxygen isotope test simultaneously, and the ancient climate C values, i.e., sigma (Fe+Zn+Cr+V+Co+Ni)/(sigma (Ca+Mg+Sr+Ba+Na+K), rb/Sr values, and oxygen isotope values were calculated (Table 1, table 2);
Secondly, carrying out correlation coefficient analysis on the three components and the dry and wet factors of the archeoclimate sporopollen, wherein the correlation coefficient (R 2) is more than 0.7, and the correlation is considered to be better, so that a quantitative recovery formula (figure 2, figure 3 and figure 4) is established;
Finally, the established recovery formula can be applied to quantitative recovery of the dry and wet factors of the ancient climates of the X groups of the A sunk sand river street groups, and as the final recovery results among different methods can be unified to the dimension range of the dry and wet factors of the sporopollen, the possibility and comparability of establishing the ancient climates by various methods are realized, the longitudinal change of the ancient climates of the key wells is recovered by various methods (fig. 5 and 6), and the quantitative recovery of the dry and wet factors is completed.
Example 3:
In a specific embodiment 3 of the present invention, the study object is a Z-group sediment of a sand river street group with a concave area, and the sediment is mainly a sediment of lithofacies such as a schlieren limestone, a argillite limestone, a biological clastic limestone, etc. through analysis of comprehensive geological background information, and the analysis and sediment environment is a set of extremely shallow water-shallow water land-lake basin mixed rock sediment. Through the comparison analysis of the type, scale, paleo-climate and other aspects of the lake basin, the paleo-lake climate forming the target layer deposition is mainly the frequent change of semiarid and semi-humid, the external water system is injected less, and the paleo-lake basin is a period which is typical of a closed-flow lake basin and is thoroughly controlled by the climate, and meanwhile, the change interval of the temperature in the period is smaller, so that the paleo-climate dryness and humidity factor of the lake basin is recovered. Through literature data research, the predecessor samples a large amount of samples through mudstone samples, and part of key wells have long well section system coring, have certain spore powder identification data and quite abundant trace element tests, are limited by the types of sample tests, and the section of mudstone sediment mainly tests related trace elements, can only support the element types (Fe, zn, cr, V, co, ni, ca, mg, sr, ba, na and K) with ancient climate C values, and the elements Rb, sr and oxygen isotopes are not tested. Therefore, the quantitative recovery of the archaic climate factors mainly depends on the test analysis of a large number of elements, and the invention establishes the mathematical connection between the archaic climate 'C value' and the archaic climate dry and wet factors by using a large number of archaic spore powder recovered from a long coring section well, thus getting rid of the limitation of insufficient archaic spore powder samples and achieving the purpose of recovering the unified dimension archaic climate dry and wet factors by using the 'C value' calculated by trace elements. Therefore, the method can effectively improve the quantitative recovery accuracy and the comparability of the dry and wet factors of the ancient climates.
Firstly, analyzing test data through system sporopollen of a key well, counting the number of the sporopollen which is happy with drought and is happy with humidity of each sample, and calculating the archaic weather dry and wet factors of the sample (table 3);
Then, each sample at the same depth was subjected to a trace element test simultaneously, and a paleoclimate C value, i.e., Σ (Fe+Zn+Cr+V+Co+Ni)/(Σ (Ca+Mg+Sr+Ba+Na+K), was calculated (Table 3);
Secondly, the correlation coefficient analysis of the three and the dry and wet factors of the archeorological sporopollen is carried out, and the correlation coefficient (R 2) is larger than 0.7, so that the correlation is considered to be better, and a quantitative recovery formula (figure 7) is established:
Y= -1.1773X 3+1.7854X2-0.1072X+0.098 R2 = 0.8835; y-ancient climate dry and wet factors; x 1 -ancient climate C value, i.e. Sigma (Fe+Zn+Cr+C) V+Co+Ni)/(Sigma (Ca+ Mg+Sr+Ba +Na+K
Finally, the established recovery formula can be applied to quantitative recovery of the dry and wet factors of the ancient climates of the Z-group section of the A-sunk sand river street group, and as the final recovery results among different methods can be unified to the dimension range of the dry and wet factors of the sporopollen, the possibility and comparability of establishing the ancient climates by various methods are realized, the longitudinal change of the ancient climates of the key well is recovered by various methods, and the quantitative recovery of the dry and wet factors is completed.
Table 3A comprehensive data sheet for ancient climate of Z group of recessed sections W3 well
Finally, it should be noted that: the foregoing description is only a preferred embodiment of the present invention, and is not intended to limit the present invention, but although the present invention has been described in detail with reference to the foregoing embodiment, it will be apparent to those skilled in the art that modifications may be made to the technical solution described in the foregoing embodiment, or equivalents may be substituted for some of the technical features thereof. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Other than the technical features described in the specification, all are known to those skilled in the art.
Claims (9)
1. The quantitative recovery method for the archaic climate dry and wet factors is characterized by comprising the following steps of:
Step 1, collecting basin background and geological data;
step 2, core sampling and slice preparation are carried out;
step3, performing species identification and dry and wet factor calculation on the archaea spore powder;
step 4, performing trace element test on a system mudstone sample of the well;
step 5, performing oxygen isotope test on a system mudstone sample of the well;
Step6, calculating the C value and Rb/Sr of the ancient climate;
step 7, performing mathematical fitting of the dry and wet factors with the C value, rb/Sr and oxygen isotopes;
Step 8, carrying out quantitative recovery of the archaic climate dry and wet factors of the key well;
In the step 7, the calculated results of the dry and wet factors of the ancient climate and microelement ratio, i.e. sigma (Fe+Zn+Cr+V+Co+Ni)/(Ca+Mg+Sr+Ba+Na+K), rb/Sr and oxygen isotopes, obtained by calculation of the spore powder in the sample are subjected to mathematical fitting, the correlation between the three and the dry and wet factors of the ancient climate is analyzed, parameters with correlation coefficient R 2 more than 0.70 are screened, and a fitting formula is established;
In step 7, the fitting formula established is:
Y = 1.6888X1 3 - 3.0298X1 2 + 1.9819 X1 - 0.1049 R2=0.8147
Y = 9.3065 X2 3 - 3.7982 X2 2 + 0.5373 X2 + 0.0094 R² = 0.7568
Y = -1240 X3 3 + 637.64 X3 2 - 109.51 X3 - 2.7685 R² = 0.7403
y-ancient climate dry and wet factors; x 1 -ancient climate C value, i.e., sigma (Fe+Zn+Cr+V+Co+Ni)/(Ca+Mg+Sr+Ba+Na+K); x 2 -ancient climate Rb/Sr value; x 3 -archaic oxygen isotopes.
2. The quantitative recovery method for the archaic climate dryness and humidity factors according to claim 1, wherein in step 1, basic evolution characteristics of the type, scale and archaic climate of a lake basin of a study object are ascertained from geological data and literature data which are actually mastered, and drilling coring of a sedimentary basin and analysis and test data in a relevant room are collected.
3. The quantitative recovery method for the archaic climate dry and wet factors according to claim 1, wherein in step 2, a long well section coring well of a key well in a basin is preferred, systematic mudstone sampling is carried out, and the spore powder type identification is carried out through micro-slice grinding.
4. The quantitative recovery method for the dry and wet factors of the paleoclimate according to claim 1, wherein in step 3, identification of the species of the paleosporidium powder of the microscopic photograph under the lens of each mudstone sample is carried out, and the types and the numbers of different species in the visual field are counted.
5. The method according to claim 4, wherein in step 3, the quantitative calculation of the dry-wet factor of the sample is performed by using a classification table of dry preference and wet preference of regional archaeological powder and a calculation formula dry-wet factor = number of spore particles per cover slip x wet group/(wet group + dry group).
6. The method for quantitative recovery of the dry and wet factors of the paleoclimates according to claim 1, wherein in step 4, trace element tests are carried out on the mudstone samples of the key wells of the long well section core, wherein the elements to be tested comprise at least Fe, zn, cr, V, co, ni, ca, mg, sr, ba, na, K, rb, sr of the 14 types.
7. The quantitative recovery method for the archaic climate dryness and humidity factors according to claim 1, wherein in step 5, the content test of oxygen isotopes is carried out for the mudstone sample of the key well of the long well section coring.
8. The method according to claim 1, wherein in step 6, trace element tests are performed on the mud rock sample of the well, and the test results are calculated as the following 2 element ratios, namely 2 values of the paleoclimate C (Σ+zn+cr+v+co+ni)/Σ (ca+mg+sr+ba+na+k) and the trace element ratio Rb/Sr, respectively.
9. The quantitative recovery method for the dry and wet factors of the paleoclimates according to claim 1, wherein in the step 8, quantitative recovery of the dry and wet factors of the paleoclimates of the key wells is carried out by utilizing a unified quantitative mathematical relationship established by a microelement ratio, an oxygen isotope and the dry and wet factors of the paleoclimates, so that the change of the dry and wet loops of the paleoclimates of different layers is clarified, and the quantitative recovery of the dry and wet factors of the paleoclimates of the key layers of the key wells is completed.
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