CN116245673A - Method for calculating permeability by using logging data - Google Patents
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- 230000035699 permeability Effects 0.000 title claims abstract description 76
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- 238000010276 construction Methods 0.000 claims description 3
- 229910052770 Uranium Inorganic materials 0.000 abstract description 19
- JFALSRSLKYAFGM-UHFFFAOYSA-N uranium(0) Chemical compound [U] JFALSRSLKYAFGM-UHFFFAOYSA-N 0.000 abstract description 19
- 239000004576 sand Substances 0.000 abstract description 14
- 238000011156 evaluation Methods 0.000 abstract description 4
- 230000015572 biosynthetic process Effects 0.000 description 5
- 230000002349 favourable effect Effects 0.000 description 3
- 238000002386 leaching Methods 0.000 description 3
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- 230000009977 dual effect Effects 0.000 description 2
- 238000011065 in-situ storage Methods 0.000 description 2
- 229910052500 inorganic mineral Inorganic materials 0.000 description 2
- 239000011707 mineral Substances 0.000 description 2
- 230000033764 rhythmic process Effects 0.000 description 2
- 239000005995 Aluminium silicate Substances 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 229920005610 lignin Polymers 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 239000011148 porous material Substances 0.000 description 1
- 238000012216 screening Methods 0.000 description 1
- 229910001727 uranium mineral Inorganic materials 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
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Abstract
The invention relates to the technical field of sandstone-type uranium ore-forming environment research and uranium resource prediction evaluation, in particular to a method for calculating permeability by using logging data, which comprises the following steps: step S1: constructing a drilling database of a research area by constructing a drilling data model; step S2: determining a target layer for prospecting according to geological prospecting results of a research area; step S3: counting exploration drilling holes of a target horizon; step S4: counting logging data of the target horizon drilling according to the investigation drilling of the target horizon; step S5: calculating the permeability of the target horizon by using logging data; step S6: and (5) utilizing the permeability data to manufacture a target horizon permeability contour map. The invention can rapidly and effectively extract the permeability parameters of each target layer sand body in the research area; the permeability parameters can be used for conveniently and rapidly compiling a sand permeability contour map.
Description
Technical Field
The invention relates to the technical field of sandstone-type uranium ore-forming environment research and uranium resource prediction evaluation, in particular to a method for calculating permeability by using logging data.
Background
In the new century, sandstone type uranium ores have become the geological prospecting type of key uranium ores in China, particularly sandstone type uranium ores which can be immersed in water, and the type has the advantages of large ore body scale, low exploitation cost, environmental protection and the like. Numerous large-area medium-new-generation basin fields are distributed in the north of China, large-scale and ultra-large uranium ore deposits such as large camps, nano-kaolin ditches, money stores, tower lignin and the like are found in the basin fields, the sandstone-type uranium ore prospecting space is very wide, and the prospecting prospect is also very optimistic. Some mineral deposits are also of sandstone type, but the current technical conditions cannot be exploited by utilizing an in-situ leaching technology, such as a Talignan mineral deposit of Bayibi and a nodding-double-dragon uranium mineral deposit of a Erdos basin, which are all of "hard sandstone type" and cannot be achieved at present. Therefore, in the geological exploration process of uranium ores, the hard sandstone type uranium ores are not the ore finding objects at present, and the hard sandstone areas should be avoided in the drilling and ore finding process.
Whether sandstone uranium ores can be leached or not, one of the important indexes is the diagenetic degree of the mineralized sand bodies, and the porosity and the permeability are two important parameters for evaluating the diagenetic degree, wherein the permeability is the most important evaluation parameter for the hydrogeologic condition of the in-situ leaching exploitation and is a key parameter for distinguishing hard sandstone from sandy rock. At present, the permeability of the sand body is not more than 0.5m/d or not less than 10m/d, which is unfavorable for on-site leaching exploitation, and the diagenetic degree of the sand body with the permeability not more than 0.5m/d is lower.
Therefore, firstly, the layers and areas which are favorable in the rock formation degree and can be immersed in the sand are selected according to the porosity and the permeability before drilling and prospecting, and how to accurately calculate the permeability is a technical problem to be solved in the current stage for identifying the ore formation environment and the ore formation area of the uranium ores which can be immersed in the sandstone.
Disclosure of Invention
The invention provides a method for calculating permeability by using logging data, which can be used for solving the technical problems that the permeability in the rock formation degree of an ore-forming sand body is difficult to calculate and the calculation method is complex in the existing sandstone uranium ore formation measurement and evaluation work.
The technical scheme of the invention is as follows:
a method of calculating permeability using well log data, comprising the steps of:
step S1: constructing a drilling database of a research area by constructing a drilling data model;
step S2: determining a target layer for prospecting according to geological prospecting results of a research area;
step S3: counting exploration drilling holes of a target horizon;
step S4: recording the drilling number, the drilling X coordinate, the drilling Y coordinate and the drilling Z coordinate of the investigation drilling of the target horizon according to statistics, acquiring depth, single-receiving sound wave time difference and double-receiving sound wave time difference data, and counting logging data of the drilling of the target horizon;
step S5: calculating the permeability of the target horizon by using logging data;
step S6: and (5) utilizing the permeability data to manufacture a target horizon permeability contour map.
Step S1: by constructing a drilling data model, constructing a drilling database of a research area specifically comprises: the borehole data model includes: basic information table, comprehensive catalogue table and logging record table; wherein the basic information table includes: the method comprises the steps of working areas, drilling numbers, exploration line numbers, drilling X coordinates, drilling Y coordinates, drilling Z coordinates, drilling dates, finishing dates, construction units and project responsible person information; the basic information table is used for recording basic information of drilling holes;
the comprehensive catalog table comprises: working area, drilling number, depth, lithology, stratum, color and granularity information, wherein the table is used for recording detailed catalogue information of drill cores;
the logging table includes: the method mainly records data acquired by a related logging method according to the working area, the drilling number, the depth, the conductivity, the single-receiving sound wave time difference, the double-receiving sound wave time difference and the natural potential information.
Step S3: the investigation drilling of the statistics target horizon specifically includes: and (3) obtaining all drill holes of the target horizon revealed by the drilling engineering by utilizing the drill hole database constructed in the step (S1) according to the prospecting target horizon determined in the step (S2).
The sound wave time difference value counted in the step S4 includes a single-receiving sound wave time difference value and a double-receiving sound wave time difference value.
The step S5: calculating the permeability of the target horizon by using logging data specifically comprises: according to the corresponding relation between the acoustic time difference and the permeability in the logging data, firstly, a regression equation is summarized according to a statistical rule, the permeability of a single borehole is calculated one by one according to the regression equation by utilizing the acoustic time difference value counted in the step S4, and the permeability calculation of all the boreholes in the target horizon is completed according to the investigation boreholes of the target horizon counted in the step S3.
In the step S5, according to the statistical rule, the regression equation of the acoustic time difference and the permeability in the logging data is shown in the following formula (1):
y＝a*exp(b*x)……………………(1)
wherein y is the calculated permeability result in m/d;
x is the acoustic time difference in mu s/m;
a, b are correlation coefficients obtained through statistics, and the correlation coefficients of the two are different in different areas.
The step S6 of preparing a target horizon permeability contour map by using permeability data comprises the following steps: and (3) preparing a target horizon permeability contour map by using a spatial interpolation method in software according to the drilling coordinates of the target horizon counted in the step (S4) and the permeability calculated in the step (S5).
The invention has the beneficial effects that:
the permeability calculation method based on the logging data is high in operability; the permeability parameters of each target layer sand body in the research area can be rapidly and effectively extracted; the permeability parameters can be used for conveniently and rapidly compiling a sand permeability contour map so as to intuitively reflect the spatial distribution characteristics of the diagenetic degree of the sand body of the target layer, and the characteristics are one of important bases for delineating the ore-forming remote scenic area of the sandy uranium which can be immersed in the sand, and are very effective for screening the favorable environment for the ore-forming of the sandy uranium which can be immersed in the sand. The invention can provide important basis for regional uranium deposit strategic selection area, newly added backup investigation base and long-term investigation deployment in the sandy rock-type-immersed uranium deposit geology.
Drawings
FIG. 1 is a flow chart of a method for calculating permeability using log data in accordance with the present invention;
Detailed Description
A method of calculating permeability using log data according to the present invention will be described in detail with reference to the accompanying drawings and examples.
A method of calculating permeability using well log data, comprising the steps of:
step S1: constructing a drilling database of a research area by constructing a drilling data model;
step S2: determining a target layer for prospecting according to geological prospecting results of a research area;
step S3: counting exploration drilling holes of a target horizon;
step S4: recording the drilling number, the drilling X coordinate, the drilling Y coordinate and the drilling Z coordinate of the investigation drilling of the target horizon according to statistics, acquiring depth, single-receiving sound wave time difference and double-receiving sound wave time difference data, and counting logging data of the drilling of the target horizon;
step S5: calculating the permeability of the target horizon by using logging data;
step S6: and (5) utilizing the permeability data to manufacture a target horizon permeability contour map.
Step S1: by constructing a drilling data model, constructing a drilling database of a research area specifically comprises: the borehole data model includes: basic information table, comprehensive catalogue table and logging record table; wherein the basic information table includes: the method comprises the steps of working areas, drilling numbers, exploration line numbers, drilling X coordinates, drilling Y coordinates, drilling Z coordinates, drilling dates, finishing dates, construction units and project responsible person information; the basic information table is used for recording basic information of drilling holes;
the comprehensive catalog table comprises: working area, drilling number, depth, lithology, stratum, color and granularity information, wherein the table is used for recording detailed catalogue information of drill cores;
the logging table includes: the method mainly records data acquired by a related logging method according to the working area, the drilling number, the depth, the conductivity, the single-receiving sound wave time difference, the double-receiving sound wave time difference and the natural potential information.
Step S3: the investigation drilling of the statistics target horizon specifically includes: and (3) obtaining all drill holes of the target horizon revealed by the drilling engineering by utilizing the drill hole database constructed in the step (S1) according to the prospecting target horizon determined in the step (S2).
The sound wave time difference value counted in the step S4 includes a single-receiving sound wave time difference value and a double-receiving sound wave time difference value.
The step S5: calculating the permeability of the target horizon by using logging data specifically comprises: according to the corresponding relation between the acoustic time difference and the permeability in the logging data, firstly, a regression equation is summarized according to a statistical rule, the permeability of a single borehole is calculated one by one according to the regression equation by utilizing the acoustic time difference value counted in the step S4, and the permeability calculation of all the boreholes in the target horizon is completed according to the investigation boreholes of the target horizon counted in the step S3.
In the step S5, according to the statistical rule, the regression equation of the acoustic time difference and the permeability in the logging data is shown in the following formula (1):
y＝a*exp(b*x)……………………(1)
wherein y is the calculated permeability result in m/d;
x is the acoustic time difference in mu s/m;
a, b are correlation coefficients obtained through statistics, and the correlation coefficients of the two are different in different areas.
The step S6 of preparing a target horizon permeability contour map by using permeability data comprises the following steps: and (3) preparing a target horizon permeability contour map by using a spatial interpolation method in software according to the drilling coordinates of the target horizon counted in the step (S4) and the permeability calculated in the step (S5).
Specific embodiments of the invention are as follows:
taking a certain section of a Ten red beach area of a vomit-hakun basin as an example, the method comprises the following steps:
1) And constructing a drilling database in the ten red beach area of the vomit-hakun.
2) Selecting a first lithology section first rhythm layer J of the section Xishan kiln group 2 X 1-1 The application is developed as a target horizon.
3) Statistics of ten red beach area J of vomit-haku basin 2 X 1-1 The drilling holes disclosed by the target horizon drilling engineering.
4) Logging data of the target horizon drilling is counted.
Target horizon J determined according to step 2 2 X 1-1 And counting all drilling holes of the stratum revealed by drilling engineering through the constructed drilling database in the ten red beach area, recording drilling hole numbers, drilling hole coordinates and the like, and respectively obtaining the acoustic wave time difference values (including single receiving and double receiving) of different drilling holes in the target layer.
5) Calculating a first rhythm layer J of a first lithology section of a target horizon Xishan kiln group 2 X 1-1 Is a permeability of (c).
Calculating target horizon J using regression equations 2 X 1-1 Is a porous material, and has a permeability of:
single-receive acoustic wave time difference: y=202 x exp (-0.0119 x);
dual receive acoustic time difference: y=28.1 x exp (-0.0106 x);
wherein y is calculated permeability result, and the unit is m/d;
the time difference of the sound wave (including single receiving and double receiving) is x, and the unit is mu s/m;
through statistics, the correlation coefficient values of the ten red beach areas of the vomit-hakun are respectively as follows:
single-receive acoustic wave time difference: a=202, b= -0.0119;
dual receive acoustic time difference: a=28.1 and b= -0.0106.
6) All drilling statistics are completed, arcGIS software is adopted to generate a target horizon permeability contour map, a target horizon sand diagenetic degree spatial distribution map can be further compiled through the map, the spatial distribution characteristics of the sand diagenetic degree in the decahong beach area can be intuitively reflected, and a favorable ore section can be defined through the research result of the diagenetic degree and uranium diagenetic relation.
The embodiments of the present invention have been described in detail, but the present invention is not limited to the above examples, and various changes can be made within the knowledge of those skilled in the art without departing from the spirit of the present invention.
Claims (7)
1. A method for calculating permeability using well log data, comprising the steps of:
step S1: constructing a drilling database of a research area by constructing a drilling data model;
step S2: determining a target layer for prospecting according to geological prospecting results of a research area;
step S3: counting exploration drilling holes of a target horizon;
step S4: recording the drilling number, the drilling X coordinate, the drilling Y coordinate and the drilling Z coordinate of the investigation drilling of the target horizon according to statistics, acquiring depth, single-receiving sound wave time difference and double-receiving sound wave time difference data, and counting logging data of the drilling of the target horizon;
step S5: calculating the permeability of the target horizon by using logging data;
step S6: and (5) utilizing the permeability data to manufacture a target horizon permeability contour map.
2. A method of calculating permeability using well log data as defined in claim 1, wherein: step S1: by constructing a drilling data model, constructing a drilling database of a research area specifically comprises: the borehole data model includes: basic information table, comprehensive catalogue table and logging record table; wherein the basic information table includes: the method comprises the steps of working areas, drilling numbers, exploration line numbers, drilling X coordinates, drilling Y coordinates, drilling Z coordinates, drilling dates, finishing dates, construction units and project responsible person information; the basic information table is used for recording basic information of drilling holes;
the comprehensive catalog table comprises: working area, drilling number, depth, lithology, stratum, color and granularity information, wherein the table is used for recording detailed catalogue information of drill cores;
the logging table includes: the method mainly records data acquired by a related logging method according to the working area, the drilling number, the depth, the conductivity, the single-receiving sound wave time difference, the double-receiving sound wave time difference and the natural potential information.
3. A method of calculating permeability using well log data as claimed in claim 2, wherein: step S3: the investigation drilling of the statistics target horizon specifically includes: and (3) obtaining all drill holes of the target horizon revealed by the drilling engineering by utilizing the drill hole database constructed in the step (S1) according to the prospecting target horizon determined in the step (S2).
4. A method of calculating permeability using well log data according to claim 3, wherein: the sound wave time difference value counted in the step S4 includes a single-receiving sound wave time difference value and a double-receiving sound wave time difference value.
5. A method of calculating permeability using well log data as defined in claim 4, wherein: the step S5: calculating the permeability of the target horizon by using logging data specifically comprises: according to the corresponding relation between the acoustic time difference and the permeability in the logging data, firstly, a regression equation is summarized according to a statistical rule, the permeability of a single borehole is calculated one by one according to the regression equation by utilizing the acoustic time difference value counted in the step S4, and the permeability calculation of all the boreholes in the target horizon is completed according to the investigation boreholes of the target horizon counted in the step S3.
6. A method of calculating permeability using well log data as defined in claim 5, wherein: in the step S5, according to the statistical rule, the regression equation of the acoustic time difference and the permeability in the logging data is shown in the following formula (1):
y＝a*exp(b*x)……………………(1)
wherein y is the calculated permeability result in m/d;
x is the acoustic time difference in mu s/m;
a, b are correlation coefficients obtained through statistics, and the correlation coefficients of the two are different in different areas.
7. A method of calculating permeability using well log data as claimed in claim 1, wherein said step S6 of using permeability data to generate a target horizon permeability contour map comprises: and (3) preparing a target horizon permeability contour map by using a spatial interpolation method in software according to the drilling coordinates of the target horizon counted in the step (S4) and the permeability calculated in the step (S5).
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