CN111980686A - Method for identifying lithology by using mineral element spectrum - Google Patents
Method for identifying lithology by using mineral element spectrum Download PDFInfo
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- CN111980686A CN111980686A CN202010896913.1A CN202010896913A CN111980686A CN 111980686 A CN111980686 A CN 111980686A CN 202010896913 A CN202010896913 A CN 202010896913A CN 111980686 A CN111980686 A CN 111980686A
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- 239000002366 mineral element Substances 0.000 title claims abstract description 67
- 238000001228 spectrum Methods 0.000 title claims abstract description 63
- 238000000034 method Methods 0.000 title claims abstract description 46
- 239000011707 mineral Substances 0.000 claims description 88
- 229910052500 inorganic mineral Inorganic materials 0.000 claims description 79
- 239000011435 rock Substances 0.000 claims description 21
- 238000005553 drilling Methods 0.000 claims description 20
- 238000012417 linear regression Methods 0.000 claims description 3
- 239000011159 matrix material Substances 0.000 claims description 3
- 230000003595 spectral effect Effects 0.000 claims description 3
- VNWKTOKETHGBQD-UHFFFAOYSA-N methane Chemical compound C VNWKTOKETHGBQD-UHFFFAOYSA-N 0.000 abstract description 4
- 239000003345 natural gas Substances 0.000 abstract description 2
- 239000003209 petroleum derivative Substances 0.000 abstract description 2
- 230000000694 effects Effects 0.000 description 5
- BVKZGUZCCUSVTD-UHFFFAOYSA-L Carbonate Chemical compound [O-]C([O-])=O BVKZGUZCCUSVTD-UHFFFAOYSA-L 0.000 description 4
- 239000010459 dolomite Substances 0.000 description 4
- 229910000514 dolomite Inorganic materials 0.000 description 4
- 229910052683 pyrite Inorganic materials 0.000 description 4
- NIFIFKQPDTWWGU-UHFFFAOYSA-N pyrite Chemical compound [Fe+2].[S-][S-] NIFIFKQPDTWWGU-UHFFFAOYSA-N 0.000 description 4
- 239000011028 pyrite Substances 0.000 description 4
- 238000005259 measurement Methods 0.000 description 3
- 230000015572 biosynthetic process Effects 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 2
- 238000006243 chemical reaction Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000011156 evaluation Methods 0.000 description 2
- 238000005755 formation reaction Methods 0.000 description 2
- 239000004576 sand Substances 0.000 description 2
- 239000004215 Carbon black (E152) Substances 0.000 description 1
- 235000019738 Limestone Nutrition 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 239000007771 core particle Substances 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 239000007789 gas Substances 0.000 description 1
- 229930195733 hydrocarbon Natural products 0.000 description 1
- 150000002430 hydrocarbons Chemical class 0.000 description 1
- 239000006028 limestone Substances 0.000 description 1
- 238000004611 spectroscopical analysis Methods 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Classifications
-
- E—FIXED CONSTRUCTIONS
- E21—EARTH OR ROCK DRILLING; MINING
- E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B49/00—Testing the nature of borehole walls; Formation testing; Methods or apparatus for obtaining samples of soil or well fluids, specially adapted to earth drilling or wells
-
- E—FIXED CONSTRUCTIONS
- E21—EARTH OR ROCK DRILLING; MINING
- E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B47/00—Survey of boreholes or wells
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- Life Sciences & Earth Sciences (AREA)
- Engineering & Computer Science (AREA)
- Geology (AREA)
- Mining & Mineral Resources (AREA)
- Physics & Mathematics (AREA)
- Environmental & Geological Engineering (AREA)
- Fluid Mechanics (AREA)
- General Life Sciences & Earth Sciences (AREA)
- Geochemistry & Mineralogy (AREA)
- Geophysics (AREA)
- Geophysics And Detection Of Objects (AREA)
Abstract
The invention discloses a method for identifying lithology by using a mineral element spectrum, and relates to the technical field of petroleum and natural gas exploration and development. The method is based on the content difference of mineral elements, the content of the mineral elements with different lithologies is converted into the content of the element, and a lithology mineral element spectrum which accords with the regional stratum characteristics is established through core calibration. The lithology mineral element spectrum is used as a standard for lithology identification, and accuracy of lithology identification is improved in a multivariate matching mode.
Description
Technical Field
The invention relates to the technical field of petroleum and natural gas exploration and development, in particular to a method for identifying lithology by utilizing a mineral element spectrum.
Background
Lithology interpretation has been a difficult problem for well logging interpretation. At present, in Chongqing areas, carbonate rock stratums mainly depend on a carbonate rock analyzer, and can well identify limestone and nephrite, but if other lithologies exist, the identification is relatively difficult. For clastic rock formations, the current lithology identification mainly depends on visual observation, and no corresponding technology exists.
In recent years, element logging is widely applied in Chongqing areas, dozens of element parameters are added to logging parameters, and the logging lithology recognition capability is obviously improved.
The authors include Hanlin, Zhang Jian Min, Chen Yangjuan, Pan Bao Zhi, Wang Ming Min, and so on, published on journal documents named "logging technology", published on journal documents entitled "element Capture Spectrum logging (ECS) method combined with QAPF method for identifying igneous rock lithology", and published on the date of 2010, No. 01. The journal literature mainly discloses: the method is characterized in that element content obtained by element capture spectrum logging (ECS) is used, standard mineral volume content of medium-acidity igneous rock is obtained by calculation through combining a igneous rock quantitative mineral composition classification method (CIPW) standard mineral method, and is compared with mineral density to obtain skeleton density and core particle density, and field application proves that the calculated mineral content is reliable. The TAS chart method and the conventional curve chart lithology method which use ECS data to judge lithology are combined with the igneous rock quantitative mineral component classification method to divide lithology according to standard minerals, and the obtained comprehensive lithology and slice have good comparison effect. The method provides a new means for lithology identification for the evaluation of the lithology of the well logging.
However, the prior art represented by the journal literature is unstable in application effect, and mainly has the following problems:
1. the existing methods are qualitative judgment of element curves, have no strict standard or have insufficient system standard, and have too large artificial factors in evaluation.
2. In the existing methods, some mineral content calculation methods exist, but the lithology of a single mineral is judged according to the content of a specific mineral by using a single element, and the basis is not sufficient enough.
Disclosure of Invention
The invention aims to provide a method for identifying lithology by using a mineral element spectrum, aiming at the defects and shortcomings of the prior art. The method sets different lithologies as different mineral volume proportions, establishes a lithology mineral element spectrum which accords with regional stratum characteristics by converting the mass proportions, calculating the element content and calibrating the element value of the rock core, takes the lithology mineral element spectrum as a lithology identification standard, realizes the rapid explanation of the lithology in the process of drilling through multivariate matching, and improves the accuracy of the lithology identification.
The invention is realized by adopting the following technical scheme:
a method for identifying lithology by utilizing a mineral element spectrum is characterized by comprising the following steps:
a. selecting mineral combinations and corresponding element combinations according to the lithological characteristics of the regional strata;
b. according to the selected mineral combination, converting the mass ratio by taking different mineral volume ratios (0-100%, 5% or 10% as intervals and according to regional reality), calculating the element content according to the molar mass ratio of mineral molecules, and establishing a lithologic mineral element spectrum table;
c. calibrating a mineral element spectrum table by utilizing the element logging values of the rock core samples in the region, and adjusting the equal proportion or equal cutoff value of the existing lithological element values in the mineral element spectrum table to a standard value;
d. in the forward drilling process, the lithology is matched and identified by utilizing the forward drilling element logging value and combining the calibrated mineral element spectrogram.
In the step a, according to the lithological characteristics of the regional stratum, the selected mineral combination and the corresponding element combination are as follows: according to the recognition of regional stratum characteristics, selecting main lithologic minerals of a target layer section, and listing element combinations according to the composition of each mineral element: lithology e (mineral)1Minerals, minerals2Minerals, minerals3Minerals, minerals4… … e (element)1Elements of2Elements of3Elements of4,……)。
In the step b, the mass ratio converted by the volume ratios of different minerals is specifically as follows: setting the volume ratio of minerals according to the selected mineral combination and the known lithological characteristics of the region, wherein 5% or 10% is taken as a value interval between 0% and 100%; for example, the four sections of carbonate rocks of the lamp shadow group in Sichuan area have lithology mainly of dolomite and sandy dolomite, are locally thin and contain pyrite, wherein the content of the sand is not more than 50 percent, and the content of the pyrite is not more than 5 percent. And calculating the element content according to the molar mass ratio of the elements of the mineral molecules by combining the volume ratio of the minerals and the converted mass ratio of the mineral density:
in the step b, establishing a lithologic mineral element spectrogram as follows: according to the element content of the mineral volume ratio corresponding to different lithologies, establishing a mineral element spectrum table matrix:
in the step c, calibrating the mineral element spectrum table by using the logging values of the core sample elements in the region, and adjusting the equal proportion or equal cutoff value of the existing lithological element values in the mineral element spectrum table to a standard value specifically comprises the following steps: due to measurement errors, theoretical mineral element content and element logging values often have certain differences. In order to remove the error, calibrating corresponding lithologic mineral element values in a mineral element spectrum table by using the logging values of the rock core sample elements in the region, and obtaining an adjustment multiple j and an adjustment coefficient k by adopting linear regression:
in the formula: x is the number ofi' -adjusting the elemental spectra values;
xi-raw element spectral values;
j-fold of adjustment,%;
k-adjustment factor,%;
obtaining a calibrated mineral element spectrum:
in the step d, in the forward drilling process, the forward drilling element logging value is utilized, and the lithology is matched and identified by combining the calibration mineral element spectrogram, specifically: and in the single-well forward drilling process, according to the forward drilling element value, the lithology is identified by comparing the mineral element spectrum.
Compared with the prior art, the invention has the following beneficial effects:
1. according to the method, different lithologic mineral element spectrums are formulated based on element differences of different mineral combinations through molar mass and volume conversion according to an element logging measurement mechanism, and lithologic identification is realized by adopting a multivariate matching mode.
2. The invention sets the theoretical mineral element value, and utilizes the rock core mineral element value to calibrate, and has strong reliability.
3. The invention can correct the gas logging total hydrocarbon in real time by directly applying conventional logging data without purchasing a special experimental instrument.
4. Compared with journal literature of ' identifying igneous rock lithology by combining an element capture spectrum logging (ECS) with a QAPF method ', the CIPW standard mineral method in the journal literature of ' identifying igneous rock lithology by combining the element capture spectrum logging (ECS) with the QAPF method is to convert the mass percentage of rock oxide into the number of oxide molecules, combine the number of the oxide molecules into a plurality of standard minerals with ideal components according to a certain rule according to a certain sequence, convert the standard minerals into the standard mineral mass content, and convert the standard mineral mass content into the volume content of the standard minerals by combining the theoretical density of the minerals after obtaining the standard mineral mass content. This method has a significant problem in that the mineral combinations in the formation do not have a fixed binding pattern and priority, and the type, number, and priority of standard mineral selection has a significant impact on the results in a way that the number of oxide molecules is used to forward the mineral content.
In order to overcome the problem, the invention firstly selects mineral combinations and corresponding element combinations according to the lithological characteristics of regional strata. And establishing a lithologic mineral element spectrum table by combining rock core calibration according to the selected mineral combination. And matching and identifying the lithology according to the element spectrum table. The method effectively reduces the influence of manual selection on the result. The following are specifically mentioned: the present invention is directed to elemental logging (XRF), which is a significant difference from Elemental Capture Spectroscopy (ECS), which is not miscible.
5. In the invention, the element spectrum table is established by adopting the specific mode of the application, and the method has the following technical effects: before the element spectrum table is established, mineral combinations and corresponding element combinations are selected according to the lithological characteristics of the regional strata. And calculating corresponding element content according to different mineral combinations and proportions and establishing an element spectrum table. It can be seen that the data in the element staff is objective, free of human influence. Then the result obtained by the matching identification is also reliable.
6. In the invention, the element spectrum table is calibrated by adopting the specific mode of the application, and the method has the following technical effects: the data in the element spectrum table is established on the basis of theoretical values, and the data in the element spectrum table needs to be calibrated by utilizing the rock core mineral analysis data, so that the data are more accurate.
7. In the invention, the lithology is matched and identified by adopting the specific mode, and the method has the following technical effects: the lithology matching identification is to compare the measured element logging values in the actual drilling process with data in an element spectrum table after the establishment of the element spectrum table is completed, and the content of various minerals corresponding to the most consistent item is the lithology of the stratum.
Detailed Description
As the best mode for implementing the invention, the invention discloses a method for identifying lithology by utilizing a mineral element spectrum, which comprises the following steps:
a. selecting mineral combinations and corresponding element combinations according to the lithological characteristics of the regional strata;
b. according to the selected mineral combination, converting the mass ratio by taking different mineral volume ratios (0-100%, 5% and 10% as intervals and according to regional reality), calculating the element content according to the molar mass ratio of mineral molecules, and establishing a lithologic mineral element spectrum table;
c. calibrating a mineral element spectrum table by utilizing the element logging values of the rock core samples in the region, and adjusting the equal proportion or equal cutoff value of the existing lithological element values in the mineral element spectrum table to a standard value;
d. in the forward drilling process, the lithology is matched and identified by utilizing the forward drilling element logging value and combining with the calibration mineral element spectrogram.
In the step a, according to the lithological characteristics of the regional stratum, the selected mineral combination and the corresponding element combination are as follows: and (4) according to the recognition of the regional stratum characteristics, selecting main lithologic minerals of the target layer interval. And the element combination is listed according to the composition of each mineral element.
Lithology e (mineral)1Minerals, minerals2Minerals, minerals3Minerals, minerals4… … e (element)1Elements of2Elements of3Elements of4,……)
In the step b, different mineral proportions (0-100%, 5% and 10% are used as intervals, and according to regional practice), the element content is calculated as follows: according to the selected mineral combination, the mineral volume ratio is set according to the known lithological characteristics of the region, wherein the mineral volume ratio is 0-100%, and 5% and 10% are taken as value intervals. For example, the four sections of carbonate rocks of the lamp shadow group in Sichuan area have lithology mainly of dolomite and sandy dolomite, are locally thin and contain pyrite, wherein the content of the sand is not more than 50 percent, and the content of the pyrite is not more than 5 percent. And calculating the element content according to the element molar mass ratio of mineral molecules by combining the mineral volume ratio and the mineral density conversion mass ratio.
In the step b, establishing a lithologic mineral element spectrogram as follows: and establishing a mineral element spectrum table matrix according to the element content of the mineral volume proportion corresponding to different lithologies.
In the step c, calibrating the mineral element spectrum table by using the logging values of the core sample elements in the region, and adjusting the equal proportion or equal cutoff value of the existing lithological element values in the mineral element spectrum table to a standard value: due to measurement errors, theoretical mineral element content and element logging values often have certain differences. In order to remove the error, corresponding lithologic mineral element values in the mineral element spectrum table are calibrated by using the logging values of the rock core sample elements in the region. By linear regression, the adjustment multiple j and the adjustment coefficient k can be obtained.
In the formula: x is the number ofi' -adjusting the elemental spectra values;
xi-raw element spectral values;
j-fold of adjustment,%;
k-adjustment coefficient,%.
And obtaining a calibrated mineral element spectrum.
In the step d, in the forward drilling process, the forward drilling element logging value is utilized, and the lithology is matched and identified by combining the calibration mineral element spectrum as follows: and in the single well forward drilling process, according to the forward drilling element value, the lithology is identified by comparing the mineral element spectrum table.
Claims (6)
1. A method for identifying lithology by utilizing a mineral element spectrum is characterized by comprising the following steps:
a. selecting mineral combinations and corresponding element combinations according to the lithological characteristics of the regional strata;
b. according to the selected mineral combination, calculating the mass ratio by the volume ratio of different minerals, and calculating the element content according to the molar mass ratio of mineral molecules to establish a lithologic mineral element spectrum table;
c. calibrating a mineral element spectrum table by utilizing the element logging values of the rock core samples in the region, and adjusting the equal proportion or equal cutoff value of the existing lithological element values in the mineral element spectrum table to a standard value;
d. in the forward drilling process, the lithology is matched and identified by utilizing the forward drilling element logging value and combining the calibrated mineral element spectrogram.
2. The method for identifying lithology by using mineral element spectrum as claimed in claim 1, wherein: in the step a, according to the lithological characteristics of the regional stratum, the selected mineral combination and the corresponding element combination are as follows: according to the recognition of regional stratum characteristics, selecting main lithologic minerals of a target layer section, and listing element combinations according to the composition of each mineral element: lithology e (mineral)1Minerals, minerals2Minerals, minerals3Minerals, minerals4C.. E.. element1Elements of2Elements of3Elements of4,······)。
3. The method for identifying lithology by using mineral element spectrum as claimed in claim 1, wherein: in the step b, the mass ratio converted by the volume ratios of different minerals is specifically as follows: according to the selected mineral combination, setting the volume ratio of the minerals according to the known lithological characteristics of the region, taking 5% or 10% as a value interval between 0% and 100%, and calculating the element content according to the molar mass ratio of the elements of the mineral molecules:
4. a method for identifying lithology using mineral element spectra according to claim 3, wherein: in the step b, establishing a lithologic mineral element spectrogram as follows: according to the element content of the mineral volume ratio corresponding to different lithologies, establishing a mineral element spectrum table matrix:
5. the method for identifying lithology by using mineral element spectrum as claimed in claim 1, wherein: in the step c, calibrating the mineral element spectrum table by using the logging values of the core sample elements in the region, and adjusting the equal proportion or equal cutoff value of the existing lithological element values in the mineral element spectrum table to a standard value specifically comprises the following steps: calibrating corresponding lithologic mineral element values in the mineral element spectrum table by using the in-region core sample element logging values, and obtaining an adjustment multiple j and an adjustment coefficient k by adopting linear regression:
in the formula: x is the number ofi' -adjusting the elemental spectra values;
xi-raw element spectral values;
j-fold of adjustment,%;
k-adjustment factor,%;
obtaining a calibrated mineral element spectrum:
6. the method for identifying lithology by using mineral element spectrum as claimed in claim 1, wherein: in the step d, in the forward drilling process, the forward drilling element logging value is utilized, and the lithology is matched and identified by combining the calibration mineral element spectrogram, specifically: and in the single-well forward drilling process, according to the forward drilling element value, the lithology is identified by comparing the mineral element spectrum.
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Cited By (1)
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| CN117890184A (en) * | 2024-03-14 | 2024-04-16 | 中国科学院地质与地球物理研究所 | Mars-simulated soil and preparation method thereof |
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| CN117890184B (en) * | 2024-03-14 | 2024-05-28 | 中国科学院地质与地球物理研究所 | Mars-simulated soil and preparation method thereof |
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