CN108240999A - Method for identifying lithology of clastic rock - Google Patents
Method for identifying lithology of clastic rock Download PDFInfo
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- CN108240999A CN108240999A CN201611216378.0A CN201611216378A CN108240999A CN 108240999 A CN108240999 A CN 108240999A CN 201611216378 A CN201611216378 A CN 201611216378A CN 108240999 A CN108240999 A CN 108240999A
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- 239000011435 rock Substances 0.000 title claims abstract description 60
- 238000000034 method Methods 0.000 title claims abstract description 39
- 229910017108 Fe—Fe Inorganic materials 0.000 claims description 6
- 238000007781 pre-processing Methods 0.000 claims description 5
- 238000010606 normalization Methods 0.000 claims description 2
- 238000011161 development Methods 0.000 description 2
- VNWKTOKETHGBQD-UHFFFAOYSA-N methane Chemical compound C VNWKTOKETHGBQD-UHFFFAOYSA-N 0.000 description 2
- 239000004576 sand Substances 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000019771 cognition Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000008021 deposition Effects 0.000 description 1
- 238000006253 efflorescence Methods 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 239000012634 fragment Substances 0.000 description 1
- 239000007789 gas Substances 0.000 description 1
- 239000003345 natural gas Substances 0.000 description 1
- 239000003209 petroleum derivative Substances 0.000 description 1
- 206010037844 rash Diseases 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
- 238000011425 standardization method Methods 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
Classifications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N23/00—Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00
- G01N23/22—Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00 by measuring secondary emission from the material
- G01N23/223—Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00 by measuring secondary emission from the material by irradiating the sample with X-rays or gamma-rays and by measuring X-ray fluorescence
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- Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Investigating Strength Of Materials By Application Of Mechanical Stress (AREA)
Abstract
The invention provides a method for identifying lithology of clastic rock. The method comprises the following steps: obtaining a clastic rock sample, and measuring the rock sample to respectively obtain content data of elements Si, Fe and Sr in the rock sample; calculating to obtain Si/Fe and Fe/Sr data based on the content data of the elements Si, Fe and Sr; and judging the lithology according to the data of Si/Fe and Fe/Sr to obtain an identification result. The technical scheme provided by the invention can conveniently and quickly identify the lithology of the clastic rock, has high identification efficiency and accurate and reliable identification result, and has important significance for identifying the clastic rock.
Description
Technical Field
The invention relates to a method for identifying lithology of clastic rock, and belongs to the field of petroleum and natural gas geology.
Background
The current clastic rock lithology identification method mainly comprises the following steps:
① hand sample identification, ② observation under a mirror, ③ earthquake attribute and inversion, wherein the hand sample identification and the observation under the mirror are relatively reliable, then the two methods need to obtain a core from the underground to the surface, and the existing core-taking well can be few in the oil field development area, so that the time and the labor are quite wasted, the earthquake attribute and the inversion prediction of the underground lithology can only define the approximate range of sandstone and mudstone macroscopically, the prediction accuracy is not high, and the control of a dense well network is needed.
Therefore, the mature identification methods have certain defects.
Therefore, it is a technical problem to be solved in the art to provide a method for rapidly identifying lithology of clastic rock.
Disclosure of Invention
In order to solve the above technical problems, an object of the present invention is to provide a method for identifying lithology of clastic rock, which can quickly and effectively identify lithology of clastic rock, and the identification result is accurate and reliable.
In order to achieve the purpose, the invention provides a clastic rock lithology identification method, which comprises the following steps:
obtaining a clastic rock sample, and measuring the rock sample to respectively obtain content data of elements Si, Fe and Sr in the rock sample;
calculating to obtain Si/Fe and Fe/Sr data based on the content data of the elements Si, Fe and Sr;
and judging the lithology according to the data of Si/Fe and Fe/Sr to obtain an identification result.
According to the invention, when clastic rock is researched and explored, the correlation exists between the contents of various geochemical elements and the lithology of clastic rock, and if the lithology changes, the contents of the geochemical elements also change correspondingly; the sand content of the clastic rock is increased, the argillaceous content is reduced, the contents of elements Si, In and Sr are increased, and the increasing trend and the increasing amplitude of the contents of the elements Si and Sr are relatively obvious; and the content of the elements Fe, Ti, Ba and Al is reduced, wherein the content reduction trend and the amplitude of the element Fe are more obvious.
The technical scheme provided by the invention takes the contents of three geochemical elements of Si, Fe and Sr as basic parameters for lithology evaluation, wherein the contents of the elements Si and Sr can represent the sandy content in clastic rock, and the content of the element Fe can represent the argillaceous content in clastic rock. Further data are then obtained for Si/Fe and Fe/Sr, where Si/Fe can replace the elements Si, Sr, representing the sandy content of clastic rock, and Fe/Sr can replace the element Fe, representing the muddy content of clastic rock.
In the above method, preferably, the lithology of the clastic rock comprises sandstone and/or argillite.
In the above method, preferably, the data for calculating Si/Fe and Fe/Sr based on the content data of the elements Si, Fe and Sr includes:
preprocessing the content data of the elements Si, Fe and Sr to respectively obtain the preprocessed content data of the elements Si, Fe and Sr;
and respectively calculating the data of Si/Fe and Fe/Sr according to the content data of pretreated elements Si, Fe and Sr.
In the above method, preferably, the data for calculating Si/Fe and Fe/Sr based on the content data of the elements Si, Fe and Sr includes:
respectively calculating the content data of elements Si, Fe and Sr to obtain the initial data of Si/Fe and Fe/Sr;
the preliminary data obtained for Si/Fe and Fe/Sr are preprocessed to obtain Si/Fe and Fe/Sr data, respectively.
In the above method, preferably, when the lithology is judged, the judgment criterion is:
when the Si/Fe-Fe/Sr is more than or equal to 0, judging that the lithology of the clastic rock is sandstone;
and when the Si/Fe-Fe/Sr is less than 0, judging the lithology of the clastic rock to be argillaceous rock.
In the above method, preferably, the preprocessing is performed by a Max-min standardization method, and the Max-min standardization formula is as follows:
new data is (original data-min)/(max-min).
In the above method, preferably, the XRF fluorescence analyzer is used to measure the rock sample to obtain the content data of the elements Si, Fe and Sr in the rock sample.
In the above method, preferably, the clastic rock sample comprises one or more of clastic rock, clastic core and clastic debris.
In the above method, preferably, the method further includes a step of plotting the contents of the elements Si, Fe, and Sr, respectively, based on the content data after the pretreatment of the elements Si, Fe, and Sr.
In the above method, preferably, the method further comprises the step of plotting Si/Fe and Fe/Sr based on the Si/Fe and Fe/Sr data, respectively.
The curve can display the continuity characteristics of the lithology of the stratum, the development condition and the lithology change of the sand shale in the stratum are intuitively reflected, and the cognition degree of the technical personnel in the field on the lithology, the deposition and the tectonic geology of the underground stratum is improved; in addition, the distribution area of the elements can be clarified through the curve, and the correlation characteristics among different elements are helped to be known.
The invention has the beneficial effects that:
the technical scheme provided by the invention judges the lithology of the underground clastic rock of the oil and gas field through the change of the geochemical element content of the rock, can conveniently and quickly identify the lithology of the clastic rock, has high identification efficiency and accurate and reliable identification result, and has important significance for judging the chemical composition, the change rule and the like of the sedimentary rock.
Drawings
Fig. 1 is a schematic flow chart of a method for identifying lithology of clastic rock provided in example 1;
FIG. 2 is a graphical representation of data for the elements Si, Fe, Sr of example 1.
Detailed Description
The technical solutions of the present invention will be described in detail below in order to clearly understand the technical features, objects, and advantages of the present invention, but the present invention is not limited to the practical scope of the present invention.
Examples
The embodiment provides a clastic lithology identification method (the main flow of the method is shown in figure 1).
The method mainly comprises the following steps:
1) collecting samples of clastic rock, rock core or rock debris of a 1200-1250m well section of an FS1 well in a certain oil field, wherein the collection work of the rock core and the rock debris can be obtained by logging technicians, and the rock sampling can be obtained by field geological exploration personnel;
the test samples selected should have the following characteristics:
① samples are fresh and the efflorescence phenomenon does not develop;
② the sample is preferably sorted and rounded.
2) Analyzing and measuring the sample by using an XRF fluorescence analyzer to accurately obtain the content data (shown in table 1) of the geochemical elements of Si, Fe and Sr in the sample;
3) respectively calculating to obtain preliminary data of Si/Fe and Fe/Sr according to the content data of Si, Fe and Sr, and then preprocessing the obtained preliminary data of Si/Fe and Fe/Sr according to a Max-min standardized formula (shown in a table 2), wherein index values of the processed data are in the same order of magnitude; the method has the advantages that the Max-min standardized formula is adopted for pretreatment, so that the problem that the threshold value of the element content in actual operation is difficult to determine can be solved, and manual intervention is not needed; wherein,
the Max-min normalization formula is shown below:
new data is (original data-min)/(max-min).
4) And judging the lithology of the clastic rock according to the data of Si/Fe and Fe/Sr, wherein the judgment standard is as follows:
when the Si/Fe-Fe/Sr is more than or equal to 0, judging that the lithology of the clastic rock is sandstone;
when Si/Fe-Fe/Sr is less than 0, judging that the lithology of the clastic rock is argillite;
the judgment results are shown in Table 2.
TABLE 1 Mass percents of Si, Fe and Sr
TABLE 2
If the sample is a continuously developing core or rock fragment, it can be characterized quantitatively by a curve method (i.e., plotting the corresponding curve according to the obtained data), as shown in FIG. 2.
To verify the reliability of the identification results obtained in table 2, the samples in this example were described one by one for observation, and the clastic lithology of the interval was determined. The results show that: the lithology of the clastic rock predicted by the identification method provided by the embodiment is consistent with the lithology determined by core observation description, and the identification result obtained by the technical scheme provided by the invention can be proved to be accurate and reliable.
Claims (10)
1. A method of identifying lithology of clastic rock, comprising the steps of:
obtaining a clastic rock sample, and measuring the rock sample to respectively obtain content data of elements Si, Fe and Sr in the rock sample;
calculating to obtain Si/Fe and Fe/Sr data based on the content data of the elements Si, Fe and Sr;
and judging the lithology according to the data of Si/Fe and Fe/Sr to obtain an identification result.
2. The method of claim 1, wherein the lithology of the clastic rock comprises sandstone and/or argillite.
3. The method of claim 1, wherein calculating Si/Fe and Fe/Sr data based on the elemental Si, Fe and Sr content data comprises:
preprocessing the content data of the elements Si, Fe and Sr to respectively obtain the preprocessed content data of the elements Si, Fe and Sr;
and respectively calculating the data of Si/Fe and Fe/Sr according to the content data of pretreated elements Si, Fe and Sr.
4. The method of claim 1, wherein calculating Si/Fe and Fe/Sr data based on the elemental Si, Fe and Sr content data comprises:
respectively calculating the content data of elements Si, Fe and Sr to obtain the initial data of Si/Fe and Fe/Sr;
the preliminary data obtained for Si/Fe and Fe/Sr are preprocessed to obtain Si/Fe and Fe/Sr data, respectively.
5. The method according to any one of claims 1 to 4, wherein the lithology is judged by:
when the Si/Fe-Fe/Sr is more than or equal to 0, judging that the lithology of the clastic rock is sandstone;
and when the Si/Fe-Fe/Sr is less than 0, judging the lithology of the clastic rock to be argillaceous rock.
6. The method of claim 3 or 4, wherein the pre-processing is performed using a Max-min normalization formula:
new data is (original data-min)/(max-min).
7. The method of claim 1, wherein the rock sample is measured using an XRF fluorescence analyzer to obtain data on the content of each of the elements Si, Fe, and Sr in the rock sample.
8. The method of claim 1, wherein the clastic rock sample comprises one or a combination of clastic rock, clastic core, and clastic debris.
9. The method of claim 1, further comprising the step of plotting the elements Si, Fe, and Sr, respectively, based on the content data for the elements Si, Fe, and Sr.
10. The method of claim 3 or 4, further comprising the step of plotting Si/Fe and Fe/Sr, respectively, based on the Si/Fe and Fe/Sr data.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611216378.0A CN108240999A (en) | 2016-12-26 | 2016-12-26 | Method for identifying lithology of clastic rock |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611216378.0A CN108240999A (en) | 2016-12-26 | 2016-12-26 | Method for identifying lithology of clastic rock |
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| CN108240999A true CN108240999A (en) | 2018-07-03 |
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| CN201611216378.0A Pending CN108240999A (en) | 2016-12-26 | 2016-12-26 | Method for identifying lithology of clastic rock |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109541722A (en) * | 2018-11-19 | 2019-03-29 | 中国地质调查局成都地质调查中心 | A kind of Lithology Identification Methods for Volcanic Rocks |
| CN113125412A (en) * | 2019-12-31 | 2021-07-16 | 中石化石油工程技术服务有限公司 | Sandstone-mudstone recognition plate lithology recognition method based on laser element information |
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| CN101936929A (en) * | 2010-07-27 | 2011-01-05 | 中国石化集团华北石油局 | X-ray fluorescent element analysis device and mud logging unit thereof |
| CN102944570A (en) * | 2012-12-02 | 2013-02-27 | 天津陆海石油设备系统工程有限责任公司 | Analysis method for rock sample lithology denomination based on X-ray element fluorescence |
| WO2015123431A1 (en) * | 2014-02-14 | 2015-08-20 | Chevron U.S.A. Inc. | System and method for identifying hydrocarbon potential in a rock formation using x-ray fluorescence |
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2016
- 2016-12-26 CN CN201611216378.0A patent/CN108240999A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN101936929A (en) * | 2010-07-27 | 2011-01-05 | 中国石化集团华北石油局 | X-ray fluorescent element analysis device and mud logging unit thereof |
| CN102944570A (en) * | 2012-12-02 | 2013-02-27 | 天津陆海石油设备系统工程有限责任公司 | Analysis method for rock sample lithology denomination based on X-ray element fluorescence |
| WO2015123431A1 (en) * | 2014-02-14 | 2015-08-20 | Chevron U.S.A. Inc. | System and method for identifying hydrocarbon potential in a rock formation using x-ray fluorescence |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109541722A (en) * | 2018-11-19 | 2019-03-29 | 中国地质调查局成都地质调查中心 | A kind of Lithology Identification Methods for Volcanic Rocks |
| CN113125412A (en) * | 2019-12-31 | 2021-07-16 | 中石化石油工程技术服务有限公司 | Sandstone-mudstone recognition plate lithology recognition method based on laser element information |
| CN113125412B (en) * | 2019-12-31 | 2023-04-07 | 中国石油化工集团有限公司 | Sandstone-mudstone recognition plate lithology recognition method based on laser element information |
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Application publication date: 20180703 |