CN114112905A - Method for judging whether biological effect participates in diagenetic ore of black rock series - Google Patents
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- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
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- G01N2223/00—Investigating materials by wave or particle radiation
- G01N2223/10—Different kinds of radiation or particles
- G01N2223/101—Different kinds of radiation or particles electromagnetic radiation
- G01N2223/1016—X-ray
Abstract
The invention belongs to the technical field of uranium resource prospecting, and particularly relates to a method for judging whether biological effects participate in diagenetic ore of black rock series, which comprises the following steps: the method comprises the following steps: collecting black rock samples; step two: carrying out optical sheet manufacturing on the collected sample; step three: measuring the contents of Sr and Cu elements in the sample screened in the second step; step four: calculating element characteristic parameters; step five: sample P2O5And (5) judging the content. The invention has wide coverage, good effectiveness and strong applicability, can be effectively popularized to the whole field of geography, can extract key elements such as the marking phenomenon, characteristic parameters, index elements and the like of the biological action of the black rock system as criteria, and cuts off redundant stemsDisturbance factors are fast and intuitively used for drawing a conclusion.
Description
Technical Field
The invention belongs to the technical field of uranium resource prospecting, and particularly relates to a method for judging whether biological effects participate in diagenetic ore of black rock series.
Background
The black rock series is widely distributed in the world, and is distributed in Asia, Europe, North America, oceania and the like, the rock horizon is stable, the thickness is large, mineral deposits such as vanadium, nickel, molybdenum, barite, stone coal, platinum group elements and the like are all planted in the black rock series in multiple places in the world, large and ultra-large mineral deposits are not lacked, and a large amount of rare metal, nonmetal and oil gas resources are also stored in the black rock series in China. Biological action can play a crucial role in the black rock system mineralization process, and a large amount of plankton and bacteria and algae organisms in the ocean can absorb mineralized substances in the growth process, and the mineralized substances can be further enriched to form ores after death and sinking.
The existing method for judging whether biological action participates in the diagenetic mineralization process of the black rock system mainly depends on observation of biological fossil contained in the rock under a microscope, and the existing judging method mainly has the following defects: the method has the advantages that the requirements on the ancient biological knowledge and practical experience of research personnel are high, otherwise, tiny and incomplete ancient biogenic fossil is difficult to recognize under a microscope; the method of identification under a microscope is easy to misjudge because the shape of the paleontological fossil and the paleontological trails in the rock is sometimes similar to the shape formed by geological action in the rock; and thirdly, the efficiency is low, and when a large number of rock samples need to be judged, the observation method through the microscope can consume several months.
Therefore, a method needs to be designed for judging whether the black rock system has biological effect participation in the diagenetic mineralization process, so that the accuracy and the mineralization efficiency of the black rock system in the aspect of prospecting are greatly improved, the labor and material cost is saved, and the damage of large-scale construction to the environment is reduced.
Disclosure of Invention
The invention designs a method for judging whether biological effects participate in diagenetic mineralization of black rock series, which is used for solving the technical problem that misjudgment occurs mainly depending on the experience of researchers on the ancient biology knowledge and the ancient biology practice in the existing judging method or due to insufficient experience of the researchers or similar observation forms under a microscope.
The technical scheme of the invention is as follows:
a method for judging whether biological effects participate in diagenetic ores of black rock series, which comprises the following steps:
the method comprises the following steps: collecting black rock samples; carrying out sample sampling work on a black rock system needing to be subjected to biological mineralization judgment, wherein the sampling direction of the sample is perpendicular to the rock bedding, and the sampling interval of the sample is determined according to the rock bedding thickness; not less than one rock sample per layer, not less than 500g of sample weight, and fresh and complete sample;
step two: making an optical slice on a collected sample, observing the optical slice of the sample under a microscope, and screening the optical slice of the sample;
step three: measuring the contents of Sr and Cu elements in the sample screened in the second step;
step four: calculating element characteristic parameters, including: calculating characteristic parameters of the Sr and Cu element contents obtained from the sample in the third step, and judging whether the sample has no biological effect in the diagenetic mineralization process of the black rock series stratum according to the characteristic parameter result;
step five: sample P2O5The judgment of the content comprises the following steps: performing P treatment on the sample with biological effect participating in the diagenetic mineralization process of the stratum with black rock series in the fourth step2O5And (4) measuring the content.
The thickness of the optical sheet in the second step is 0.3 mm; the second step further comprises: at least one optical sheet is manufactured for each collected sample, and the rest part of each sample which is manufactured into the optical sheet is used in the third step.
The step two of observing the sample light slice under a microscope and screening the sample light slice comprises the following steps of: and observing whether the asphalt spots exist on each sample light slice through a microscope, if the asphalt spots are observed from the sample light slices, the sample is reserved and used in the subsequent step three, and if the asphalt spots are not observed from the sample light slices, the black rock-based stratum corresponding to the sample does not participate in the diagenetic mineralization process, and the sample is not used in the subsequent step.
The step three of measuring the Sr and Cu contents of the sample screened in the step two comprises the following steps: and (4) crushing the sample pair screened in the step two to 200 meshes, and measuring the contents of Sr and Cu elements in each sample by a plasma mass spectrometer.
In the fourth step, the characteristic parameter calculation of the Sr and Cu contents of the sample in the third step comprises the following steps: calculating the ratio of the Sr element content to the Cu element content measured by each sample in the third step to obtain the Sr element content and the Cu element content characteristic parameter values; namely Sr/Cu.
In the fourth step, the judgment that no biological effect participates in the diagenetic mineralization process of the black lithologic stratum is carried out on the sample through the characteristic parameter result, and the judgment comprises the following steps:
if the characteristic parameter of the Sr and Cu element content of the sample is less than or equal to 5.0 at the value of 1.3, the sample is reserved and used for carrying out the fifth step;
if the characteristic parameter of the Sr and Cu element content of the sample is less than 1.3 or the characteristic parameter of the Sr and Cu element content of the sample is greater than 5.0, the black rock series stratum corresponding to the sample does not participate in the diagenetic mineralization process, and the sample is not used in the step five.
In the fifth step, P is carried out on the sample which has biological action participation in the process of diagenetic mineralization of the stratum with the black rock series in the fourth step2O5The content determination comprises the following steps:
because the P element is an important constituent element of marine organisms, the black rock system formed in the process of depositing the diagenesis on the seabed necessarily contains higher P element if the black rock system is accompanied by strong biological action, and therefore, the sample selected in the fourth step is subjected to P by an X-ray fluorescence spectrometer2O5And (4) measuring the content.
P measured by the X-ray fluorescence spectrometer2O5And if the content is more than or equal to 1.5 percent, finally judging that the black rock system stratum corresponding to the sample has biological action in the diagenetic mineralization process, wherein the sample can be used for carrying out uranium resource prospecting exploration work.
P measured by the X-ray fluorescence spectrometer2O5If the content is less than 1.5%, the black rock stratum corresponding to the sample does not participate in the formation process of the black rock stratum under the biological action, and the uranium resource prospecting work is not required to be carried out.
The invention has the beneficial effects that:
the method for judging whether biological effects participate in the black rock-series diagenesis ore can efficiently and quickly screen out the black rock-series stratum with high uranium diagenesis potential. The method comprises the steps of field black rock sample collection, under-mirror observation, element content analysis and test, element characteristic parameter calculation and the like, and the established flow judgment basis can intuitively obtain a judgment result;
the method is designed on the basis of 7300 parts of geological data acquired by 70 black rock sampling points in countries such as Saudi Arabia, China, Russia and the like. By adopting the method for rapidly judging whether the biological effect participates in the diagenetic mineralization process of the black rock series, the stratum with the diagenetic potential of uranium resources can be accurately and efficiently screened out from the black rock series widely distributed in the world, the exploration construction is reduced by over 75 percent, the capital, time and labor cost are saved, and the environment-friendly, economic and efficient prospecting work of the black rock series can be realized.
The method has the advantages of wide coverage, good effectiveness and strong applicability, can be effectively popularized to the whole field of geography, and has the innovation points that key elements such as the marking phenomenon, characteristic parameters, index elements and the like of the biological action of the black rock system are extracted as criteria, redundant interference factors are cut off, and the conclusion is rapidly and visually obtained. The method for rapidly judging whether biological effects participate in the diagenetic mineralization process of the black rock series constructed by the method is verified in the black rock series developed in a large area in Guizhou province in 2016 & 2020, and the black rock series horizon 5 layers with the participation of the biological mineralization are judged together, the total area is 460km2, and the highest uranium content in the horizons reaches 1573 multiplied by 10 in the later period-6Important black rock series uranium resources are made to find the mine in the area.
Detailed Description
The method for determining the presence or absence of biological effects in the black rock-based diagenetic ore designed by the present invention is described in detail below with reference to examples.
The invention discloses a method for judging whether biological action participates in diagenetic ore of black rock series, which comprises the following steps:
the method comprises the following steps: collecting black rock samples; carrying out sample sampling work on a black rock system needing to be subjected to biological mineralization judgment, wherein the sampling direction of the sample is perpendicular to the rock bedding, and the sampling interval of the sample is determined according to the rock bedding thickness; not less than one rock sample per layer, not less than 500g of sample weight, and fresh and complete sample;
step two: making an optical slice on a collected sample, observing the optical slice of the sample under a microscope, and screening the optical slice of the sample; observing whether asphalt spots exist on each sample light slice through a microscope to screen the sample light slices; if asphalt spots are observed in the sample light slice, the sample is reserved and used in the subsequent step three, and if no asphalt spots are observed in the sample light slice, the black rock series stratum corresponding to the sample has no biological effect in the diagenetic mineralization process, and the sample is not used for the subsequent step.
The thickness of the optical sheet in the second step is 0.3 mm; and at least one optical sheet is manufactured for each collected sample, and the rest part of each sample which is manufactured into the optical sheet is used in the third step.
Step three: measuring the contents of Sr and Cu elements in the sample screened in the second step;
the geochemistry property of the Sr element is dry, the Sr element is easy to enrich in a drought climate background and can generate high content, and the Sr element is low in a humid climate background; the geochemical property of the Cu element is that the Cu element is loving moisture, is easy to enrich in warm and humid climates and generates high content, and conversely, the Cu element has low content under the drought condition, so the two trace elements are selected for content measurement in the invention.
And (4) crushing the sample pair screened in the step two to 200 meshes, and measuring the contents of Sr and Cu elements in each sample by a plasma mass spectrometer.
Step four: calculating element characteristic parameters, including: calculating characteristic parameters of Sr and Cu element contents obtained from the sample in the third step, and judging whether the sample has no biological effect in the process of diagenetic mineralization of the black rock series stratum according to the characteristic parameter result, wherein the judgment specifically comprises the following steps: calculating the ratio of the Sr element content to the Cu element content measured by each sample in the third step to obtain the Sr element content and the Cu element content characteristic parameter values; i.e. the characteristic parameter value of Sr/Cu-Sr and Cu element content
The judgment that no biological action participates in the diagenetic mineralization process of the black lithologic stratum is carried out on the sample through the characteristic parameter result, and the judgment comprises the following steps: if the characteristic parameter of the Sr and Cu element contents of the sample is less than or equal to 5.0 at the value of 1.3, the sample is reserved and used for carrying out the fifth step; if the characteristic parameter of the Sr and Cu element contents of the sample is less than 1.3 or the characteristic parameter of the Sr and Cu element contents of the sample is greater than 5.0, the black rock series stratum corresponding to the sample does not have biological effect in the process of rock formation and ore formation, and the sample is not used in the step five.
By utilizing the geochemical characteristics of Sr element enriched in drought climate and Cu element enriched in humid climate, whether the climate environment of the black rock system is favorable for the multiplication and survival of a large number of organisms when the black rock system is formed by deposition can be more accurately judged according to the Sr/Cu ratio, and the judgment error caused by the abnormal content of a single element can be eliminated by utilizing the ratio of the two elements.
The invention is obtained by measuring the content of Sr and Cu in 7300 parts of water system sediments near black rock series collected in different regions, different environments and different climates of the country such as Saudiarabia, China, Russia and the like and calculating the ratio of the Sr and the Cu, when Sr/Cu is more than or equal to 1.3 and less than or equal to 5.0, the environment where the sediments are located is certain to be warm and humid and suitable for the large amount of organisms, when Sr/Cu is more than 5.0, although partial organisms exist, the quantity of the organisms under the climatic condition is far less than the biological abundance value which is necessary to achieve the biogeochemical mineralization, when Sr/Cu is less than 1.3, the content of the elements is abnormal, and the indication significance of the deposition climate environment is not provided.
Step five: sample P2O5The judgment of the content comprises the following steps: performing P treatment on the sample with biological effect participating in the diagenetic mineralization process of the stratum with black rock series in the fourth step2O5The content determination specifically comprises the following steps:
because the P element is an important constituent element of marine organisms, the black rock system formed in the process of depositing the diagenesis on the seabed necessarily contains higher P element if the black rock system is accompanied by strong biological action, and therefore, the sample selected in the fourth step is subjected to P by an X-ray fluorescence spectrometer2O5Measuring the content;
if sample P2O5The content is more than or equal to 1.5 percent, and finally the corresponding content of the sample is judgedThe black rock stratum has biological action in the diagenesis and mineralization process, and the sample can be used for carrying out uranium resource prospecting work; if sample P2O5If the content is less than 1.5%, the black rock stratum corresponding to the sample does not participate in the formation process of the black rock stratum under the biological action, and the uranium resource prospecting work is not required to be carried out.
P2O5And finally judging that the black rock stratum corresponding to the sample has biological action in the diagenesis and mineralization process if the content is more than or equal to 1.5 percent.
The P is2O5Determining the content of the black rock series through the fourth step, wherein the climate conditions are favorable for mass propagation and aggregation of organisms in the deposition forming process, so that the precondition that the P element enrichment is generated by the organisms exists; furthermore, according to the ancient biological professional scientist, through microscopic identification of 7300 samples, 1812 samples determined to have biological action involved were strictly selected, and through P on these selected samples2O5The content measurement found that these samples P2O5The content is more than or equal to 1.5 percent.
The present invention will be described in further detail below by taking a black rock stratum developed in a large area in the middle of Guizhou province as an example.
The method comprises the following steps: although the color of the rock is dark black and the structural appearance is basically consistent, the formation causes of the rock layers are very different, the black rock layers at partial layers participate in the diagenesis process, the content of organic matters is high, and uranium resource mineral-bearing strata are easy to form, so that 1 fresh and complete sample is collected from each layer from bottom to top in the direction perpendicular to the bedding of the black rock layers, the weight of each sample is not less than 500g, and 57 samples are collected.
Step two: in the period of the flourishing marine plankton, the marine plankton sinks together with land-source debris after death, remains of the marine plankton are gathered and stored in the deep-sea oxygen-deficient environment, and organic matter components such as asphalt and the like are formed in rocks through long-term compaction and thermal transformation. Therefore, whether the black rock series stratum has biological effect in the forming process can be judged primarily through optical thin slice observation. Therefore, 57 black rock samples collected from the middle area of the Guizhou province are sliced and ground to obtain 57 optical thin slices, 23 optical thin slices with asphalt spots are generated through observation under a rock and mineral microscope, and the next work is carried out on the black rock strata corresponding to the 23 optical thin slices.
Step three: 23 samples in which asphalt spots were observed by a rock-mineral microscope were pulverized to 200 mesh. The contents of two elements Sr and Cu in 23 samples were measured using a plasma mass spectrometer, and the measurement results are shown in table 1.
As the P element is an important constituent element of marine organisms, the black rock system formed in the process of depositing the diagenesis on the seabed must contain higher P element if strong biological action is involved, and the X-ray fluorescence spectrometer is used for carrying out the P element treatment on 23 samples P2O5The content was measured, the measurement results are shown in Table 1, and sample P was measured2O5The content step can also be carried out in step five, in this example the sample P2O5The determination of the content is carried out in step three for the purpose of simplifying the operational procedures in the actual work.
Step four: calculating the characteristic parameters of each sample according to the Sr and Cu element contents obtained by analyzing and testing 23 samples in the third step, wherein the calculation result is shown in the Sr/Cu column in the table 1, and when the Sr/Cu is more than or equal to 1.3 and less than or equal to 5.0, the Sr/Cu column represents that the sample is in a warm and humid environment and is weakly evaporated at the moment, so that the Sr/Cu column is favorable for the flourishing of organisms; when Sr/Cu is more than 5.0, the seawater is in a dry environment at the moment, evaporation is strong, the salinity in the seawater is high, and the seawater is not beneficial to gathering and breeding of organisms; when Sr/Cu <1.3 has no indicative significance for the deposition environment. Therefore, the method judges that seven samples are included in the samples between 1.3 and 5.0 according to the calculated Sr/Cu characteristic parameter values, and continues to perform step five on the black rock series strata corresponding to the seven samples.
TABLE 1 element content and characteristic parameter numerical table
Step five: p is carried out on the seven samples selected in the step 42O5Judgment of the content, P2O5The total content of the samples with the content of more than or equal to 1.5 percent is five (as shown in the table 1 above), so that the black rock strata corresponding to the five samples are finally judged, biological action is involved in the diagenesis and mineralization process, the uranium resource mineralization potential is great, and the next prospecting and exploration work is necessary to be carried out.
Judging 5 black rock system horizons in Guizhou Zunyi areas according to the steps, confirming that the black rock system horizons have biological action in the forming process through ancient biology, fossil and other research works in the later period, carrying out exploration work on the black rock system stratums of the five horizons according to the national nuclear industry standard 'black rock system unconventional uranium resource prediction and evaluation technical guideline', and finding that the highest U content is 1573 multiplied by 10-6Average content of 301X 10-6The average U content is 2.01 times of the content specified by the national nuclear industry standard, and the biological action is determined to play an important enrichment role in the black rock series uranium mineralization process of the 5 layers by combining the later comprehensive research.
While the embodiments of the present invention have been described in detail, the present invention is not limited to the above-described examples, and various changes can be made without departing from the spirit of the present invention within the knowledge of those skilled in the art.
Claims (9)
1. A method for judging whether biological effects participate in diagenetic ore of a black rock system is characterized by comprising the following steps:
the method comprises the following steps: collecting black rock samples; carrying out sample sampling work on a black rock system needing to be subjected to biological mineralization judgment, wherein the sampling direction of the sample is perpendicular to the rock bedding, and the sampling interval of the sample is determined according to the rock bedding thickness; not less than one rock sample per layer, not less than 500g of sample weight, and fresh and complete sample;
step two: making an optical slice on a collected sample, observing the optical slice of the sample under a microscope, and screening the optical slice of the sample;
step three: measuring the contents of Sr and Cu elements in the sample screened in the second step;
step four: calculating element characteristic parameters, including: calculating characteristic parameters of the Sr and Cu element contents obtained from the sample in the third step, and judging whether the sample has no biological effect in the diagenetic mineralization process of the black rock series stratum according to the characteristic parameter result;
step five: sample P2O5The judgment of the content comprises the following steps: performing P treatment on the sample with biological effect participating in the diagenetic mineralization process of the stratum with black rock series in the fourth step2O5And (4) measuring the content.
2. The method for determining the presence or absence of biological effects in black lithologic diagenesis ore according to claim 1, wherein: the thickness of the optical sheet in the second step is 0.3 mm; the second step further comprises: at least one optical sheet is manufactured for each collected sample, and the rest part of each sample which is manufactured into the optical sheet is used in the third step.
3. The method for determining the presence or absence of biological effects in black lithologic diagenesis ore according to claim 2, wherein: the step two of observing the sample light slice under a microscope and screening the sample light slice comprises the following steps of: and (3) observing whether each sample light slice has asphalt spots through a microscope, if the asphalt spots are observed from the sample light slices, the sample is reserved and used in the subsequent step three, and if the asphalt spots are not observed from the sample light slices, the black lithologic stratum corresponding to the sample does not participate in the diagenesis and mineralization process, and the sample is not used in the subsequent step.
4. The method for determining the presence or absence of biological effects in black lithologic diagenesis ore according to claim 3, wherein: the step three of measuring the Sr and Cu contents of the sample screened in the step two comprises the following steps: and (4) crushing the sample pair screened in the step two to 200 meshes, and measuring the contents of Sr and Cu elements in each sample by a plasma mass spectrometer.
5. The method for determining the presence or absence of biological effects in black lithologic diagenesis ore according to claim 4, wherein: in the fourth step, the characteristic parameter calculation of the Sr and Cu contents of the sample in the third step comprises the following steps: calculating the ratio of the Sr element content to the Cu element content measured by each sample in the third step to obtain the Sr element content and the Cu element content characteristic parameter values; namely Sr/Cu.
6. The method for determining the presence or absence of biological effects in black lithologic diagenesis ore according to claim 5, wherein: in the fourth step, the judgment that no biological effect participates in the diagenetic mineralization process of the black lithologic stratum is carried out on the sample through the characteristic parameter result, and the judgment comprises the following steps:
if the characteristic parameter of the Sr and Cu element contents of the sample is less than or equal to 5.0 at the value of 1.3, the sample is reserved and used for carrying out the fifth step;
if the characteristic parameter of the Sr and Cu element content of the sample is less than 1.3 or the characteristic parameter of the Sr and Cu element content of the sample is greater than 5.0, the black rock series stratum corresponding to the sample does not participate in the diagenetic mineralization process, and the sample is not used in the step five.
7. The method for determining the presence or absence of biological effects in black lithologic diagenesis ore according to claim 6, wherein: in the fifth step, P is carried out on the sample with biological effect participating in the diagenetic mineralization process of the black rock stratum in the fourth step2O5The content determination comprises the following steps:
since P is an important element of marine life, the black rock system is accompanied by strong deposit formation in the seabedThe black rock system formed by the method necessarily contains higher P element, so that the sample selected in the step four is subjected to P by an X-ray fluorescence spectrometer2O5And (4) measuring the content.
8. The method of claim 7, wherein the method comprises the steps of: p measured by the X-ray fluorescence spectrometer2O5And if the content is more than or equal to 1.5 percent, finally judging that the black rock system stratum corresponding to the sample has biological action in the diagenetic mineralization process, wherein the sample can be used for carrying out uranium resource prospecting exploration work.
9. The method of claim 8, wherein the method comprises the steps of: p measured by the X-ray fluorescence spectrometer2O5If the content is less than 1.5%, the black rock stratum corresponding to the sample does not participate in the formation process of the black rock stratum under the biological action, and the uranium resource prospecting work is not required to be carried out.
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Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| AU2010233421A1 (en) * | 2009-10-14 | 2011-04-28 | Mega Hindmarsh Pty Ltd | Method for detecting a mineral deposit |
| US20130091925A1 (en) * | 2011-10-12 | 2013-04-18 | Thomas Henry Darrah | Method for Determining the Genetic Fingerpring of Hydrocarbons and Other Geological Fluids using Noble Gas Geochemistry |
| CN111044549A (en) * | 2019-12-30 | 2020-04-21 | 核工业北京地质研究院 | Method for rapidly judging whether black rock series has uranium polymetallic mining value |
| CN111090709A (en) * | 2019-05-17 | 2020-05-01 | 核工业二0八大队 | Big data geological analysis method for sandstone-type uranium ore mineralization prediction |
| CN111679340A (en) * | 2020-06-09 | 2020-09-18 | 青海省第五地质勘查院 | Ore seeking method for black rock series vanadium-molybdenum ore |
| CN111948374A (en) * | 2020-08-14 | 2020-11-17 | 中国地质大学（武汉） | Geochemical identification method and system for organic-rich shale layer section in shale |
| CN112132791A (en) * | 2020-09-02 | 2020-12-25 | 数岩科技股份有限公司 | Shale scanning electron microscope image processing method, device, equipment and storage medium |
| CN113092725A (en) * | 2021-04-09 | 2021-07-09 | 中国科学院地质与地球物理研究所 | Method for determining mineralized microfossicles and application |
-
2021
- 2021-08-30 CN CN202111004886.3A patent/CN114112905A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| AU2010233421A1 (en) * | 2009-10-14 | 2011-04-28 | Mega Hindmarsh Pty Ltd | Method for detecting a mineral deposit |
| US20130091925A1 (en) * | 2011-10-12 | 2013-04-18 | Thomas Henry Darrah | Method for Determining the Genetic Fingerpring of Hydrocarbons and Other Geological Fluids using Noble Gas Geochemistry |
| CN111090709A (en) * | 2019-05-17 | 2020-05-01 | 核工业二0八大队 | Big data geological analysis method for sandstone-type uranium ore mineralization prediction |
| CN111044549A (en) * | 2019-12-30 | 2020-04-21 | 核工业北京地质研究院 | Method for rapidly judging whether black rock series has uranium polymetallic mining value |
| CN111679340A (en) * | 2020-06-09 | 2020-09-18 | 青海省第五地质勘查院 | Ore seeking method for black rock series vanadium-molybdenum ore |
| CN111948374A (en) * | 2020-08-14 | 2020-11-17 | 中国地质大学（武汉） | Geochemical identification method and system for organic-rich shale layer section in shale |
| CN112132791A (en) * | 2020-09-02 | 2020-12-25 | 数岩科技股份有限公司 | Shale scanning electron microscope image processing method, device, equipment and storage medium |
| CN113092725A (en) * | 2021-04-09 | 2021-07-09 | 中国科学院地质与地球物理研究所 | Method for determining mineralized microfossicles and application |
Non-Patent Citations (9)
| Title |
|---|
| KUN ZHANG 等: "Influence of palaeoclimate and hydrothermal activity on organic matter accumulation in lacustrine black shales from the Lower Cretaceous Bayingebi Formation of the Yin’e Basin, China", PALAEOGEOGRAPHY, PALAEOCLIMATOLOGY, PALAEOECOLOGY, vol. 560, pages 1 - 21 * |
| SHAMIM A. DARK 等: "Uranium (U) concentration and its genetic significance in the phosphorites of the Paleoproterozoic Bijawar Group of the Lalitpur district, Uttar Pradesh, India", ARABIAN JOURNAL OF GEOSCIENCES, vol. 7, no. 6, pages 2237 - 2248 * |
| 付超等: "内蒙古狼山-渣尔泰山 SEDEX型矿床微量稀土元素特征――以甲生盘矿床为例", 矿床地质, vol. 33, pages 381 - 382 * |
| 凌斯祥: "黑色页岩风化的地球化学行为及力学特性研究", 中国优秀博士学位论文全文数据库, no. 02, pages 1 - 201 * |
| 宋小军等: "贵州英坪钼镍多金属矿地质特征及成矿条件", 矿产勘查, vol. 10, no. 9, pages 2270 - 2279 * |
| 张维乾等: "贵州岩孔含铀磷块岩矿床元素地球化学及其指示意义", 矿产勘查, vol. 9, no. 02, pages 253 - 259 * |
| 梁万乐等: "库车坳陷北部山前带中生界泥岩元素地球化学特征及其沉积环境意义", 矿业科学学报, vol. 4, no. 05, pages 375 - 383 * |
| 王健: "湘西北黑色岩系铀多金属地球化学特征及成矿作用", 中国优秀硕士学位论文全文数据库工程科技Ⅰ辑, no. 02, pages 1 - 177 * |
| 赵岩;刘池洋;张东东;邓辉;赵晓辰;: "宁南盆地古近纪沉积岩地球化学特征对沉积环境的反映", 地质科技情报, no. 05, pages 32 - 38 * |
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