CN112901156A - Rock debris logging detection system - Google Patents
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- CN112901156A CN112901156A CN202110049463.7A CN202110049463A CN112901156A CN 112901156 A CN112901156 A CN 112901156A CN 202110049463 A CN202110049463 A CN 202110049463A CN 112901156 A CN112901156 A CN 112901156A
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- 239000011435 rock Substances 0.000 title claims abstract description 57
- 238000001514 detection method Methods 0.000 title claims abstract description 45
- 238000007405 data analysis Methods 0.000 claims abstract description 63
- 238000012545 processing Methods 0.000 claims abstract description 4
- 230000015572 biosynthetic process Effects 0.000 claims description 34
- ZSLUVFAKFWKJRC-IGMARMGPSA-N 232Th Chemical compound [232Th] ZSLUVFAKFWKJRC-IGMARMGPSA-N 0.000 claims description 12
- 229910052776 Thorium Inorganic materials 0.000 claims description 12
- 229910052770 Uranium Inorganic materials 0.000 claims description 12
- 229910052767 actinium Inorganic materials 0.000 claims description 12
- QQINRWTZWGJFDB-UHFFFAOYSA-N actinium atom Chemical compound [Ac] QQINRWTZWGJFDB-UHFFFAOYSA-N 0.000 claims description 12
- 238000004364 calculation method Methods 0.000 claims description 12
- 229910052730 francium Inorganic materials 0.000 claims description 12
- KLMCZVJOEAUDNE-UHFFFAOYSA-N francium atom Chemical compound [Fr] KLMCZVJOEAUDNE-UHFFFAOYSA-N 0.000 claims description 12
- 229910052699 polonium Inorganic materials 0.000 claims description 12
- HZEBHPIOVYHPMT-UHFFFAOYSA-N polonium atom Chemical compound [Po] HZEBHPIOVYHPMT-UHFFFAOYSA-N 0.000 claims description 12
- 229910052705 radium Inorganic materials 0.000 claims description 12
- HCWPIIXVSYCSAN-UHFFFAOYSA-N radium atom Chemical compound [Ra] HCWPIIXVSYCSAN-UHFFFAOYSA-N 0.000 claims description 12
- 229910052704 radon Inorganic materials 0.000 claims description 12
- SYUHGPGVQRZVTB-UHFFFAOYSA-N radon atom Chemical compound [Rn] SYUHGPGVQRZVTB-UHFFFAOYSA-N 0.000 claims description 12
- JFALSRSLKYAFGM-UHFFFAOYSA-N uranium(0) Chemical compound [U] JFALSRSLKYAFGM-UHFFFAOYSA-N 0.000 claims description 12
- 230000002159 abnormal effect Effects 0.000 claims description 8
- 238000000034 method Methods 0.000 claims description 5
- 230000002285 radioactive effect Effects 0.000 claims description 5
- 238000005553 drilling Methods 0.000 abstract description 9
- 239000003208 petroleum Substances 0.000 abstract description 2
- 238000005259 measurement Methods 0.000 abstract 1
- 238000005520 cutting process Methods 0.000 description 2
- 229910052500 inorganic mineral Inorganic materials 0.000 description 2
- 239000011707 mineral Substances 0.000 description 2
- 239000003129 oil well Substances 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 230000005484 gravity Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
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- 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
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- General Life Sciences & Earth Sciences (AREA)
- Geochemistry & Mineralogy (AREA)
- Geophysics And Detection Of Objects (AREA)
Abstract
The invention relates to the technical field of petroleum drilling, in particular to a rock debris logging detection system, which comprises: the device comprises a collection end, a measurement end and a background end, wherein a plurality of collection units of the collection end are used for collecting rock debris samples of each stratum; the detection end is used for detecting rock debris samples of the stratum at each depth point and generating rock debris detection information, and the background end is used for receiving and processing the rock debris detection information from the detection end; the data analysis subsystem at the backstage end can calculate to obtain an element radioactivity energy total value according to the rock debris detection information of the stratum at each depth point, draw a stratum map to be compared, the data comparison module of the data analysis subsystem can extract a stratum curve to be compared in the stratum map to be compared, calculate curve similarity values of the stratum curve to be compared and each reference stratum property curve, and output corresponding stratum properties according to the reference stratum property map of the reference stratum property curve closest to the stratum curve to be compared.
Description
Technical Field
The invention relates to the technical field of petroleum drilling, in particular to a rock debris logging detection system.
Background
Before oil well operation and oil extraction, stratum properties of stratums at different depths are judged, a development scheme in an oil drilling process is designed according to the stratum properties of the stratums at different depths, and a drilling engineer can adjust the specific gravity, components and drilling parameters of drilling mud in advance according to the stratum properties, so that the drilling is safer.
For oil and gas exploration and well drilling engineering, formation property information is mainly obtained through rock debris logging. At present, the method for identifying the stratum property of the stratum where the oil well is located mainly comprises the steps of drilling and coring, generally sampling and detecting rock debris every 1 meter or 2 meters, observing the rock debris, analyzing and testing mineral components in the rock debris to determine the stratum property, however, as the mineral components in the rock debris are numerous and the rock debris components of each level need to be detected and analyzed, time and energy are consumed, the method has low accuracy in description of the stratum property of the stratum where the rock debris is located, and the judgment result has great deviation from the real situation.
Disclosure of Invention
The invention aims to provide a rock debris logging detection system which has the advantage of being capable of quickly, effectively and accurately identifying the stratum property of the stratum at the depth point of a rock.
In order to achieve the above purpose, the basic scheme of the invention is as follows: a cuttings logging detection system, comprising:
the collecting end is provided with a plurality of collecting units, and the collecting units are used for collecting rock debris samples of each stratum;
the detection end is used for detecting rock debris samples of the stratum at each depth point and generating rock debris detection information, and the rock debris detection information comprises element type information and element content information contained in rock debris;
the backstage end is connected with the detection end and used for receiving and processing the rock debris detection information from the detection end;
the backstage end is provided with a data analysis subsystem, the data analysis subsystem is provided with a data analysis module, the data analysis module is provided with a data analysis strategy, the data analysis strategy comprises a data analysis algorithm, the data analysis algorithm calculates to obtain an element radioactivity energy total value according to rock debris detection information of the stratum of each depth point, the stratum of the depth point is used as a horizontal coordinate, the element radioactivity energy total value is used as a vertical coordinate to draw a stratum map to be compared, and each coordinate point in the stratum map to be compared is sequentially connected to form a stratum curve to be compared;
the data analysis subsystem is configured with stratum property categories, each stratum property category corresponds to a reference stratum property map, and each reference stratum property map comprises a reference stratum property curve;
the data analysis subsystem is provided with a data comparison module which is provided with a data comparison strategy, the data comparison strategy comprises a comparison threshold, the data comparison strategy calculates curve similarity values of the stratum curve to be compared and each reference stratum property curve, and when the curve similarity value of the stratum curve to be compared and one of the reference stratum property curves is smaller than the comparison threshold, the stratum property is output according to the stratum property category corresponding to the reference stratum property map of the reference stratum property curve.
Further, the rock debris detection information includes polonium element content information, radon element content information, francium element content information, radium element content information, actinium element content information, thorium element content information, protactinium element content information, and uranium element content information; the data analysis algorithm calculates the total radioactive energy value of the element according to the polonium element content information, radon element content information, francium element content information, radium element content information, actinium element content information, thorium element content information, protactinium element content information and uranium element content information of the stratum at each depth point.
Further, the data analysis algorithm includes a first data analysis calculation formula, and the first data analysis calculation formula is:
Mi＝αx+βy+εz+γs+λt+ψf+θh+ηg
wherein Mi is the element radioactivity capacity value of the rock debris sample corresponding to the stratum at each depth point, α, β, γ, epsilon, η, θ, μ, ψ are preset weight parameters, x is the content of polonium, y is the content of radon, z is the content of francium, s is the content of radium, t is the content of actinium, f is the content of thorium, and h is the content of protactinium and g is the content of uranium.
Further, the data analysis algorithm includes a second data analysis calculation formula, and the second data analysis calculation formula is:
M＝ξHi*Mi
wherein, M is the total value of the element radioactivity of the stratum of the current depth point, Mi is the element radioactivity value of the rock debris sample corresponding to the stratum of each depth point, Hi is the depth value of the stratum of each depth point, and xi is a preset parameter.
Further, the data analysis subsystem is configured with a data compensation module, the data compensation module is configured with a data compensation strategy, the data compensation strategy is configured with a data compensation algorithm, and the data compensation algorithm calculates the total value of the element radioactivity energy of the stratum to the lost depth point according to the depth value of the stratum to the lost depth point, the total value of the element radioactivity energy of the stratum to the depth point of the previous level and the total value of the element radioactivity energy of the stratum to the depth point of the next level.
Further, the data compensation algorithm comprises a data compensation formula, and the data compensation formula is as follows:
Mi＝Hi*(Mj+Mk)/2
where, Mj (j ═ i-1) is the total value of the elemental radioactivity of the formation at the depth point of the previous level, and Mk (k ═ i +1) is the total value of the elemental radioactivity of the formation at the depth point of the next level.
Further, the distance between the strata of the depth points of adjacent levels is 2-5 m.
Further, the data analysis subsystem is configured with a data identification module, the data identification module is configured with a data identification strategy, the data identification strategy comprises an upper limit identification threshold and a lower limit identification threshold, the upper limit identification threshold and the lower limit identification threshold form an identification threshold interval, the data identification strategy compares a difference value between a total value of the elemental radioactivity energy of the formation at the current depth point, a total value of the elemental radioactivity energy of the formation at the depth point of the previous level and a total value of the elemental radioactivity energy of the formation at the depth point of the next level, and when both a maximum value and a minimum value of the difference value fall within the identification threshold interval, a normal identification result of data is output; and when any value of the maximum value and the minimum value of the phase difference value does not fall into the identification threshold interval, outputting the identification result of data abnormity.
Further, when the data identification module outputs an identification result of abnormal output data, the background end sends a compensation acquisition task request to the acquisition end, and the acquisition end acquires the rock debris samples of the stratum at the depth point corresponding to the abnormal data again.
Compared with the prior art, the scheme has the beneficial effects that:
the method comprises the steps of taking polonium, radon, francium, radium, actinium, thorium, protactinium and uranium elements as main influence factors of the formation properties of the formation where rock debris samples are located, giving different weights according to the radioactivity characteristics of the elements, analyzing and calculating the element radioactivity performance value of the rock debris samples corresponding to the formation at each depth point according to preset data in a data analysis subsystem at a background end, calculating the element radioactivity performance total value according to rock debris detection information of the formation at each depth point, drawing a formation map to be compared, obtaining a formation curve to be compared, comparing the formation curve with a reference formation property curve, outputting the formation properties according to the formation properties corresponding to the reference formation property map of the reference formation property curve, and achieving the purpose of rapidly, effectively and accurately identifying the formation properties of the formation at the depth point where the rock is located.
Drawings
FIG. 1 is a diagram of the inventive system architecture.
Reference numerals in the drawings of the specification include: the system comprises a collection end 1, a detection end 2, a background end 3, a data analysis subsystem 4, a data comparison module 5, a data identification module 6 and a data analysis module 7.
Detailed Description
The invention will be described in further detail by means of specific embodiments with reference to the accompanying drawings:
example (b):
a cuttings logging detection system, as shown in fig. 1, comprising:
the collecting end 1 is provided with a plurality of collecting units, and the collecting units are used for collecting rock debris samples of each stratum;
the detection end 2 is used for detecting rock debris samples of the stratum at each depth point and generating rock debris detection information, wherein the rock debris detection information comprises element type information and element content information contained in rock debris, including polonium element content information, radon element content information, francium element content information, radium element content information, actinium element content information, thorium element content information, protactinium element content information and uranium element content information;
the backstage end 3 is connected with the detection end 2 and is used for receiving and processing the rock debris detection information from the detection end 2;
the backstage end 3 is provided with a data analysis subsystem 4, the data analysis subsystem 4 is provided with stratum property categories, each stratum property category corresponds to a reference stratum property map, and each reference stratum property map comprises a reference stratum property curve;
the data analysis subsystem 4 is configured with a data analysis module 7 and a data comparison module 5, the data analysis module 7 is configured with a data analysis strategy, the data analysis strategy comprises a data analysis algorithm, and the data analysis algorithm calculates the total element radioactivity energy according to polonium element content information, radon element content information, francium element content information, radium element content information, actinium element content information, thorium element content information, protactinium element content information and uranium element content information of the stratum at each depth point.
The data analysis algorithm comprises a first data analysis calculation formula, and the first data analysis calculation formula is as follows:
Mi＝αx+βy+εz+γs+λt+ψf+θh+ηg
wherein Mi is the element radioactivity capacity value of the rock debris sample corresponding to the stratum at each depth point, α, β, γ, epsilon, η, θ, μ, ψ are preset weight parameters, x is the content of polonium, y is the content of radon, z is the content of francium, s is the content of radium, t is the content of actinium, f is the content of thorium, and h is the content of protactinium and g is the content of uranium.
The data analysis algorithm comprises a second data analysis calculation formula, and the second data analysis calculation formula is as follows:
M＝ξHi*Mi
wherein, M is the total value of the element radioactivity of the stratum of the current depth point, Mi is the element radioactivity value of the rock debris sample corresponding to the stratum of each depth point, Hi is the depth value of the stratum of each depth point, and xi is a preset parameter.
Calculating to obtain a total value of the element radioactivity energy according to the rock debris detection information of the stratum of each depth point by using a data analysis algorithm, drawing a stratum map to be compared by using the stratum of each depth point as an abscissa and the total value of the element radioactivity energy as an ordinate, and sequentially connecting each coordinate point in the stratum map to be compared to form a stratum curve to be compared;
the data comparison module 5 is configured with a data comparison strategy, the data comparison strategy comprises a comparison threshold, the data comparison strategy calculates curve similarity values of the stratum curve to be compared and each reference stratum property curve, and when the curve similarity value of the stratum curve to be compared and one of the reference stratum property curves is smaller than the comparison threshold, the stratum property is output according to the stratum property category corresponding to the reference stratum property map of the reference stratum property curve.
The data analysis subsystem 4 is further configured with a data compensation module, the data compensation module is configured with a data compensation strategy, the data compensation strategy is configured with a data compensation algorithm, the data compensation algorithm calculates a total value of the element radioactivity energy of the stratum to the lost depth point according to the depth value of the stratum to the lost depth point, the total value of the element radioactivity energy of the stratum to the depth point of the previous level and the total value of the element radioactivity energy of the stratum to the depth point of the next level, and the distance between the stratums of the depth points of the adjacent levels is 2 m.
The data compensation algorithm comprises a data compensation formula, and the data compensation formula is as follows:
Mi＝Hi*(Mj+Mk)/2
where, Mj (j ═ i-1) is the total value of the elemental radioactivity of the formation at the depth point of the previous level, and Mk (k ═ i +1) is the total value of the elemental radioactivity of the formation at the depth point of the next level.
The data analysis subsystem 4 is provided with a data identification module 6, the data identification module 6 is provided with a data identification strategy, the data identification strategy comprises an upper limit identification threshold and a lower limit identification threshold, the upper limit identification threshold and the lower limit identification threshold form an identification threshold interval, the data identification strategy compares a difference value between a total value of the element radioactivity energy of the stratum of a current depth point, a total value of the element radioactivity energy of the stratum of a previous level depth point and a total value of the element radioactivity energy of the stratum of a next level depth point, and when a maximum value and a minimum value of the difference value both fall into the identification threshold interval, a normal identification result of the data is output; and when any value of the maximum value and the minimum value of the phase difference value does not fall into the identification threshold interval, outputting the identification result of the data abnormity. When the data identification module 6 outputs an identification result of abnormal output data, the background end 3 sends a compensation acquisition task request to the acquisition end 1, and the acquisition end 1 acquires the rock debris samples of the stratum at the depth point corresponding to the abnormal data again.
The specific implementation mode of the scheme is as follows:
the acquisition terminal 1 is provided with a plurality of acquisition units, each acquisition unit acquires rock debris samples of strata of each level by taking every 2m as a level, each acquisition unit transmits polonium element content information, radon content information, francium element content information, radium element content information, actinium element content information, thorium element content information, protactinium element content information and uranium element content information of the strata of each level to the background terminal 3, the data analysis module 7 of the background terminal 3 calculates element radioactive performance values corresponding to the strata of each depth point according to polonium element content information, radon content information, francium element content information, radium element content information, actinium element content information, thorium element content information, protactinium element content information and uranium element content information of each depth point, and obtains element radioactive performance total values of the strata level according to the element radioactive performance values corresponding to the strata of each depth point, and drawing a to-be-compared stratum map by taking the stratum of the depth point as an abscissa and the total value of the element radioactivity energy as an ordinate, and sequentially connecting all coordinate points in the to-be-compared stratum map to form a to-be-compared stratum curve.
The data comparison module 5 of the background end 3 calculates curve similarity values of the formation curve to be compared and each reference formation property curve, and outputs the formation property according to the formation property category corresponding to the reference formation property map of the reference formation property curve when the curve similarity value of the formation curve to be compared and one of the reference formation property curves is smaller than a comparison threshold value; and when the curve similarity value of the stratum curve to be compared and one of the reference stratum property curves is larger than the comparison threshold value, analyzing the stratum curve to be compared through manual intervention, and recording the final analysis result into the stratum property category.
Meanwhile, the data identification module 6 in the data analysis subsystem 4 can also compare the difference value between the total value of the element radioactivity energy of the stratum of the current depth point, the total value of the element radioactivity energy of the stratum of the depth point of the previous level and the total value of the element radioactivity energy of the stratum of the depth point of the next level according to a preset identification threshold interval, and output a normal identification result when the maximum value and the minimum value of the difference value both fall into the identification threshold interval; and when any value of the maximum value and the minimum value of the phase difference value does not fall into the identification threshold interval, outputting the identification result of the data abnormity. When the data identification module 6 outputs an identification result of abnormal output data, the background end 3 sends a compensation acquisition task request to the acquisition end 1, and the acquisition end 1 acquires the rock debris samples of the stratum at the depth point corresponding to the abnormal data again; thereby further improving the accuracy of the formation properties of the formation at the point of depth of the rock.
The foregoing is merely an example of the present invention and common general knowledge of known specific structures and features of the embodiments is not described herein in any greater detail. It should be noted that, for those skilled in the art, without departing from the structure of the present invention, several changes and modifications can be made, which should also be regarded as the protection scope of the present invention, and these will not affect the effect of the implementation of the present invention and the practicability of the patent. The scope of the claims of the present application shall be determined by the contents of the claims, and the description of the embodiments and the like in the specification shall be used to explain the contents of the claims.
Claims (9)
1. The utility model provides a detritus logging detecting system which characterized in that: the method comprises the following steps:
the collecting end is provided with a plurality of collecting units, and the collecting units are used for collecting rock debris samples of each stratum;
the detection end is used for detecting rock debris samples of the stratum at each depth point and generating rock debris detection information, and the rock debris detection information comprises element type information and element content information contained in rock debris;
the backstage end is connected with the detection end and used for receiving and processing the rock debris detection information from the detection end;
the backstage end is provided with a data analysis subsystem, the data analysis subsystem is provided with a data analysis module, the data analysis module is provided with a data analysis strategy, the data analysis strategy comprises a data analysis algorithm, the data analysis algorithm calculates to obtain an element radioactivity energy total value according to rock debris detection information of the stratum of each depth point, the stratum of the depth point is used as a horizontal coordinate, the element radioactivity energy total value is used as a vertical coordinate to draw a stratum map to be compared, and each coordinate point in the stratum map to be compared is sequentially connected to form a stratum curve to be compared;
the data analysis subsystem is configured with stratum property categories, each stratum property category corresponds to a reference stratum property map, and each reference stratum property map comprises a reference stratum property curve;
the data analysis subsystem is provided with a data comparison module which is provided with a data comparison strategy, the data comparison strategy comprises a comparison threshold, the data comparison strategy calculates curve similarity values of the stratum curve to be compared and each reference stratum property curve, and when the curve similarity value of the stratum curve to be compared and one of the reference stratum property curves is smaller than the comparison threshold, the stratum property is output according to the stratum property category corresponding to the reference stratum property map of the reference stratum property curve.
2. The debris logging detection system of claim 1, wherein: the rock debris detection information comprises polonium element content information, radon element content information, francium element content information, radium element content information, actinium element content information, thorium element content information, protactinium element content information and uranium element content information; the data analysis algorithm calculates the total radioactive energy value of the element according to the polonium element content information, radon element content information, francium element content information, radium element content information, actinium element content information, thorium element content information, protactinium element content information and uranium element content information of the stratum at each depth point.
3. The debris logging detection system of claim 2, wherein: the data analysis algorithm comprises a first data analysis calculation formula, and the first data analysis calculation formula is as follows:
Mi＝αx+βy+εz+γs+λt+ψf+θh+ηg
wherein Mi is the element radioactivity capacity value corresponding to the rock debris sample of the stratum at each depth point, d, beta, gamma, epsilon, eta, theta, mu and psi are preset weight parameters, x is the content of polonium element, y is the content of radon element, z is the content of francium element, s is the content of radium element, t is the content of actinium element, f is the content of thorium element, and h is the content of protactinium element and g is the content of uranium element.
4. The debris logging detection system of claim 3, wherein: the data analysis algorithm comprises a second data analysis calculation formula, and the second data analysis calculation formula is as follows:
M＝ξHi*Mi
wherein, M is the total value of the element radioactivity of the stratum of the current depth point, Mi is the element radioactivity value of the rock debris sample corresponding to the stratum of each depth point, Hi is the depth value of the stratum of each depth point, and xi is a preset parameter.
5. The debris logging detection system of claim 4, wherein: the data analysis subsystem is configured with a data compensation module, the data compensation module is configured with a data compensation strategy, the data compensation strategy is configured with a data compensation algorithm, and the data compensation algorithm calculates the total value of the element radioactivity energy of the stratum to the lost depth point according to the depth value of the stratum to the lost depth point, the total value of the element radioactivity energy of the stratum to the depth point of the previous level and the total value of the element radioactivity energy of the stratum to the depth point of the next level.
6. The debris logging detection system of claim 5, wherein: the data compensation algorithm comprises a data compensation formula, and the data compensation formula is as follows:
Mi＝Hi*(Mj+Mk)/2
where, Mj (j ═ i-1) is the total value of the elemental radioactivity of the formation at the depth point of the previous level, and Mk (k ═ i +1) is the total value of the elemental radioactivity of the formation at the depth point of the next level.
7. The debris logging detection system of claim 6, wherein: the distance between the strata of depth points of adjacent levels is 2-5 m.
8. The debris logging detection system of claim 7, wherein: the data analysis subsystem is provided with a data identification module, the data identification module is provided with a data identification strategy, the data identification strategy comprises an upper limit identification threshold and a lower limit identification threshold, the upper limit identification threshold and the lower limit identification threshold form an identification threshold interval, the data identification strategy compares a difference value between a total value of the element radioactivity energy of the stratum at a current depth point, a total value of the element radioactivity energy of the stratum at a previous level depth point and a total value of the element radioactivity energy of the stratum at a next level depth point, and when the maximum value and the minimum value of the difference value both fall into the identification threshold interval, a normal identification result of data is output; and when any value of the maximum value and the minimum value of the phase difference value does not fall into the identification threshold interval, outputting the identification result of data abnormity.
9. The debris logging detection system of claim 8, wherein: and when the data identification module outputs an identification result of abnormal output data, the background end sends a compensation acquisition task request to the acquisition end, and the acquisition end acquires the rock debris samples of the stratum at the depth point corresponding to the abnormal data again.
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| CN101082277A (en) * | 2007-07-05 | 2007-12-05 | 北京奥能瑞科石油技术有限公司重庆分公司 | Oil well drilling geological X-ray fluorescent debris logging method |
| CN101126921A (en) * | 2007-09-28 | 2008-02-20 | 四川石油管理局地质勘探开发研究院 | Gas well oil testing logging system |
| CN101493888A (en) * | 2009-03-03 | 2009-07-29 | 中国石化集团胜利石油管理局地质录井公司 | PDC debris digital picture logging method |
| CN102621588A (en) * | 2012-03-29 | 2012-08-01 | 中国石油化工股份有限公司 | Gamma energy spectrum-based method for identifying clay shale reservoir and uranium ore occurrence on spot |
| CN103485758A (en) * | 2013-08-12 | 2014-01-01 | 中国石油天然气股份有限公司 | Method and device for performing fitting inversion by utilizing plurality of pieces of data to realize complex lithologic interpretation |
| GB201416526D0 (en) * | 2014-09-18 | 2014-11-05 | Inst Energiteknik | Tracers |
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| CN114993759A (en) * | 2022-07-18 | 2022-09-02 | 核工业北京地质研究院 | Rock powder sampling method for radioactive mineral exploration |
| CN114993759B (en) * | 2022-07-18 | 2022-10-25 | 核工业北京地质研究院 | Rock powder sampling method for radioactive mineral exploration |
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