CN110007343A - A kind of evaluation method of regional tectonics complexity - Google Patents
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Abstract
The invention discloses a kind of evaluation methods of regional tectonics complexity, comprising the following steps: step 1: establishing the stratum three-dimensional geological model in region to be evaluated;Step 2: seeking a certain region a using note package topologynThe similar dimension d of tomographyi, then seek tomography solid dimension Dds, and seek the earthquake intensity I of the tomography;Step 3: seeking a certain region a using note package topologynThe similar dimension Z of foldi, then seek three-dimensional dimension Dzs, and seek the Gaussian curvature K in fold face;Step 4: seeking region anMagmatic rock intrusion index Q;Step 5: seeking region anKarst collapse col umn index M;Step 6: data being normalized: step 7: complexity of structures partition of the level.The complexity of structures for passing through the available region of above step in the present invention, so that the prospecting and exploration and development for the energy minerals in later period provide certain foundation.
Description
Technical field
The present invention relates to geological region evaluation technical fields, more particularly to a kind of regional tectonics fault network complexity evaluation
Method.
Background technique
In the development process to the geological and mineral resource in a region, internal structure development situation is a weight
The influence factor wanted.It determines technical requirements and economic requirement in Resource Development Process.Currently used evaluation method master
If factors such as the Planar Fractal dimensions and FAULT STRENGTH in the considerations of dispersion region.But the geological structure inside region is not
It is that simple plane influences, the trend and tendency inside stratum such as tomography and fold also have the complexity in the region
Great influence.
For this reason, it may be necessary to which a kind of evaluation method for architectonic practical developmental state, complicated to the construction in region
Degree is determined that the exploitation for the geology and mineral resources in later period provides certain theoretical foundation.
Summary of the invention
In order to overcome the above-mentioned deficiencies of the prior art, the present invention provides a kind of regional tectonics fault network complexity evaluation sides
Method.
The technical scheme adopted by the invention is that: a kind of evaluation method of regional tectonics complexity, including it is following
Step:
Step 1: establishing the stratum three-dimensional geological model in region to be evaluated;
Step 2: seeking a certain region a using note package topologynThe similar dimension d of tomographyi, then seek tomography solid dimension Dds,
And seek the earthquake intensity I of the tomography;
Step 3: seeking a certain region a using note package topologynThe similar dimension Z of foldi, then seek three-dimensional dimension Dzs, and
Seek the Gaussian curvature K in fold face;
Step 4: seeking region anMagmatic rock intrusion index Q;
Step 5: seeking region anKarst collapse col umn index M;
Step 6: data are normalized;
Step 7: complexity of structures partition of the level.
Further, in above-mentioned steps 1, will study the geological structure inside area: tomography, magmatic rock body, is subside at fold
Column is identified, and the square net for being a × a by the region division on horizontal plane, number a1~an;
Further, in step 2 above, three-dimensional geologic is divided into 1m × 1m × 1m cubic unit body, every
Secondary cubic unit body is divided in a cell cube, counts the secondary cubic unit body number for having fault plane to pass through in each cell cube
N (b) reduces secondary cubic unit body, enables b=b0/2、b0/3、b0/4、b0/ 8, obtain corresponding N (b) value;It is launched
In lgN (b)-lgb coordinate system, fitting obtains straight line, solves straight slope with least square method, absolute value is that this is vertical
The similar dimension d of square cell blocki.To a certain cell a of earth surface arean, unit area anTomography solid tie up Dds:
In formula, DdsIt is tieed up for the tomography solid of region an;diTo have fault plane in the region in three-dimensional geological body to be evaluated
By cubic unit body similar dimension;hiFor the depth of the cubic unit lattice, unit m;H is the stratum total thickness in region to be evaluated
Degree;N is the tomography quantity in the region.
Further, in step 2 above, the earthquake intensity I of the tomography is sought:
In formula, I is tomography earthquake intensity;SimaxFor fault plane in some cubic unit body on a certain vertical plane of cell cube most
Big projected area, unit m2;hiFor the depth of the cell, unit m is value with the depth to center of cell;H is evaluation area
The formation thickness in domain, unit m;I is the tomography quantity inside the region.
Further, in above-mentioned steps 3, three-dimensional geologic is divided into 1m × 1m × 1m cubic unit body, every
Secondary cubic unit body is divided in a cell cube, counts the secondary cubic unit body number for having fold face to pass through in each cell cube
N (c) reduces secondary cubic unit body, enables c=c0/2、c0/3、c0/4、c0/ 8, obtain corresponding N (c) value;It is launched
In lgN (c)-lgc coordinate system, fitting obtains straight line, solves straight slope with least square method, absolute value is that this is vertical
The similar dimension Z of square cell cubei;Vertical principal stress suffered by the fold of different depth is different, and the size of vertical principal stress stress
It is also the standard of one of complexity of structures of critical region, considers in the plane using depth as coefficient, to earth surface area
A certain unit area an, unit area anFold solid tie up Dzs::
In formula, DzsFor region anFold solid dimension;ZiTo have fold face in the region in three-dimensional geological body to be evaluated
By cubic unit lattice similar dimension;hiFor the depth of the cubic unit lattice, unit m;H is the stratum total thickness in region to be evaluated
Degree, unit m;N is the fold quantity in the region.
Further, in above-mentioned steps 3, performance characteristic of the fold in three-dimensional formation is one group of bending parallel to each other
Face then indicates the fold degree of the cell cube with the formation beds across cubic unit body.Seek the Gaussian curvature in fold face:
If fold face is
Then
In formula, KiFor the Gaussian curvature of the cubic unit body.
In formula, K is region anTotal Gaussian curvature, kiFor plane domain anUnder all fold faces Gaussian curvature,
hiFor the depth of the cubic unit body, unit m;H is the stratum overall thickness in region to be evaluated, unit m;N is the fold in the region
Quantity.
Further, in above-mentioned steps 4, region a is characterized with the intrusion index Q of magmatic rocknStructures In Magmatic shadow
The degree of sound:
In formula, Q is unit area anIgneous invasion index, ViFor the volume of the intrusive gas of the cell, unit
m3;hiFor the depth of the cell, unit m;H is the stratum overall thickness in region to be evaluated, unit m;N is the rock in unit area
Starch intrusive body number;
Further, in above-mentioned steps 5,
In formula, M is region an karst collapse col umn index;ViTo subside column volume, m in region3;hiFor karst collapse col umn depth, m;H is
The formation thickness in the region to be evaluated, m;N is the karst collapse col umn quantity in the region.B be karst collapse col umn fragmentation degree, the present invention by its
Be quantified as 1: stratum is more complete;2: stratum is in fragmentation state;4: stratum and its broken being not generally visible original state.
Further, in above-mentioned steps 6, above-mentioned data are normalized:
In formula, Xi ' is normalized formation parameter, xiFor a unit area anParameter, μ be region a to be evaluated1~
anData mean value, σ be area data a to be evaluated1~anStandard deviation;And treat evaluation region a1~anConstruction complexity journey
Degree scores:
Tan=0.23Dds+0.21I+0.25Dzs+0.21K+0.05Q+0.05M (9)
Further, in above-mentioned steps 7, complexity of structures rank is divided:
Region anComplexity of structures classification
Compared with prior art, it the beneficial effects of the present invention are: constructing a three-dimensional stereo model in survey region, utilizes
Fractal thought, note package topology seek the similar dimension of each three-dimensional element body, to characterize the construction complexity dimension in research area
Degree, while considering that the tendency inclination angle of tomography and fold can not be embodied in formation level complexity dimension, introduce tomography earthquake intensity, pleat
Rugosity rate etc. characterizes regional structure complexity.By the complexity of structures in the available region of above step, to be
The prospecting and exploration and development of the energy minerals in later period provide certain foundation.
Specific embodiment
In order to deepen the understanding of the present invention, below with reference to embodiment, the present invention is further described, which only uses
In explaining the present invention, protection scope of the present invention is not constituted and limited.
A kind of evaluation method of regional tectonics complexity, comprising the following steps:
Step 1: using the existing borehole data and well log interpretation and seismic data analysis of areal geology, by three-dimensional geological
Modeling software Petrel establishes the stratum three-dimensional geological model in region to be evaluated, will study the geological structure inside area: tomography, pleat
Wrinkle, magmatic rock body, karst collapse col umn are identified, and the square net for being a × a by the region division on horizontal plane, number a1~
an;
Step 2: stratum is subjected to that Fault displacement occurs after powerful tectonic movement effect, this step from the distribution of tomography and
Two aspect evaluation region complexity of structures of earthquake intensity of tomography;Three-dimensional geologic is divided into 1m × 1m × 1m cubes of list
First body divides secondary cubic unit body in each cell cube, counts secondary cube for having fault plane to pass through in each cell cube
Cell cube number N (b) reduces secondary cubic unit body, enables b=b0/2、 b0/3、b0/4、b0/ 8, obtain corresponding N (b) value;
It is launched in lgN (b)-lgb coordinate system, fitting obtains straight line, solves straight slope with least square method, absolutely
Value is the similar dimension d of the cubic unit bodyi;Vertical principal stress suffered by tomography in view of different depth is different, and vertical
The size of principal stress stress is also the standard of one of complexity of structures of critical region, therefore, in the plane using depth as
Coefficient considers, to a certain unit area a of earth surface arean, unit area anTomography solid tie up Dds:
In formula, DdsIt is tieed up for the tomography solid of region an;diTo have fault plane in the region in three-dimensional geological body to be evaluated
By cubic unit body similar dimension;hiFor the depth of the cubic unit body, m;H is the stratum overall thickness in region to be evaluated;n
For the tomography quantity in the region.
In step 2 above, the earthquake intensity I of the tomography is sought:
In formula, I is tomography earthquake intensity;SimaxFor fault plane in some cubic unit body on a certain vertical plane of cell most
Big projected area, unit m2;hiIt is value, unit m with the depth to center of cell cube for the depth of the cell cube;H is evaluation area
The formation thickness in domain, unit m;I is the tomography quantity inside the region.
Step 3: when tectonic stress is not enough to stratum attrition crushing, just will form fold.This is that ground bottom stress is concentrated
One of important behaviour;Three-dimensional geologic is divided into 1m × 1m × 1m cubic unit block, is divided in each cell block secondary
Grade cubic unit body, counts the secondary cubic unit body number N (c) for having fold face to pass through in each cell cube, reduces secondary vertical
Square cell cube, enables c=c0/2、c0/3、c0/4、c0/ 8, obtain corresponding N (c) value;Launched lgN (c)-lgc coordinate system
In, fitting obtains straight line, solves straight slope with least square method, absolute value is the similar dimension of the cubic unit block
zi, vertical principal stress suffered by the fold of different depth is different, and the size of vertical principal stress stress is also the structure of critical region
The standard of one of complexity is made, is considered in the plane using depth as coefficient, to a certain unit area a of earth surface areanAnd
Speech, unit area anFold solid tie up Dzs:
In formula, DzsIt is tieed up for the fold solid in the region;ZiTo there is fold face logical in the region in three-dimensional geological body to be evaluated
The similar dimension for the cubic unit body crossed;hiFor the depth of the cubic unit body, unit m;H is the stratum total thickness in region to be evaluated
Degree, unit m;N is the fold quantity in the region.
In above-mentioned steps 3, performance characteristic of the fold in three-dimensional formation is one group of flexure plane parallel to each other, then with wearing
The formation beds of cubic unit body are crossed to indicate the fold degree of the cell cube.It seeks the Gaussian curvature in fold face: setting fold face
For
Then
In formula, KiFor the Gaussian curvature of the cubic unit lattice.
In formula, K is region anTotal Gaussian curvature, kiFor plane domain anUnder all fold faces Gaussian curvature,
hiFor the depth of the cubic unit body, unit m;H is the stratum overall thickness in region to be evaluated, unit m;N is region anFold
Quantity.
Step 4: region a is characterized with the intrusion index Q of magmatic rocknStructures In Magmatic influence degree:
In formula, Q is unit area anIgneous invasion index, ViFor the volume of the intrusive gas of the cell cube, unit
m3;hiFor the depth of the cell, unit m;H is the stratum overall thickness in region to be evaluated, unit m;N is the rock in unit area
Starch intrusive body number;
Step 5: the complexity of structures in the region is characterized using karst collapse col umn index M,
In formula, M is region an karst collapse col umn index;ViTo subside column volume, m in region3;hiFor karst collapse col umn depth, m;H is
The formation thickness in the region to be evaluated, m;N is the karst collapse col umn quantity in the region.B be karst collapse col umn fragmentation degree, the present invention by its
Be quantified as 1: stratum is more complete;2: stratum is in fragmentation state;4: stratum and its broken being not generally visible original state.
Step 6: the geologic parameter on above-mentioned stratum carries out above-mentioned data since there are biggish differences for dimension and the order of magnitude
Normalized:
In formula, Xi ' is normalized formation parameter, xiFor a unit area anParameter, μ be region a to be evaluated1~
anData mean value, σ be area data a to be evaluated1~anStandard deviation;And treat evaluation region a1~anConstruction complexity journey
Degree scores:
Tan=0.23Dds+0.21I+0.25Dzs+0.21K+0.05Q+0.05M (9)
Step 7: divide complexity of structures rank:
Region anComplexity of structures classification
Evaluation analysis is carried out for the complexity of structures in region, all indexs are positiveization, and uniform consideration.Cause
This T value is bigger, it is meant that the construction in region is more complicated.
What the embodiment of the present invention was announced is preferred embodiment, and however, it is not limited to this, the ordinary skill people of this field
Member, easily according to above-described embodiment, understands spirit of the invention, and make different amplification and variation, but as long as not departing from this
The spirit of invention, all within the scope of the present invention.
Claims (10)
1. a kind of evaluation method of regional tectonics complexity, which comprises the following steps:
Step 1: establishing the stratum three-dimensional geological model in region to be evaluated;
Step 2: seeking a certain region a using note package topologynThe similar dimension d of tomographyi, then seek tomography solid dimension Dds, and seek
The earthquake intensity I of the tomography;
Step 3: seeking a certain region a using note package topologynThe similar dimension Z of foldi, then seek three-dimensional dimension Dzs, and seek pleat
The Gaussian curvature K of drawn grain;
Step 4: seeking region anMagmatic rock intrusion index Q;
Step 5: seeking region anKarst collapse col umn index M;
Step 6: data are normalized;
Step 7: complexity of structures partition of the level.
2. the evaluation method of regional tectonics complexity according to claim 1, it is characterised in that: in above-mentioned steps
In 1, will study the geological structure inside area: tomography, fold, magmatic rock body, karst collapse col umn be identified, and by the area on horizontal plane
Domain is divided into the square net of a × a, number a1~an。
3. the evaluation method of regional tectonics complexity according to claim 1, it is characterised in that: in above-mentioned steps
In 2, three-dimensional geologic is divided into 1m × 1m × 1m cubic unit body, secondary cubic unit is divided in each cell cube
Body counts the number N (b) for the secondary cubic unit body for having fault plane to pass through in each cell cube, reduces secondary cubic unit body,
Enable b=b0/2、b0/3、b0/4、b0/ 8, obtain corresponding N (b) value;It is launched in lgN (b)-lgb coordinate system, is fitted
To straight line, straight slope is solved with least square method, absolute value is the similar dimension d of the cubic unit bodyi;It is different deep
Vertical principal stress suffered by the tomography of degree is different, and the size of vertical principal stress stress is one of complexity of structures of critical region
Standard, using depth in the plane as coefficient, to a certain unit area a of earth surface arean, the tomography of the unit area is vertical
Body ties up Dds:
In formula, DdsFor region anTomography solid dimension;diThere is fault plane to pass through in the region in three-dimensional geological body to be evaluated
The similar dimension of cubic unit body;hiFor the depth of the cubic unit lattice, unit m;H is the stratum overall thickness in region to be evaluated, single
Position m;N is the tomography quantity in the region.
4. the evaluation method of regional tectonics complexity according to claim 1, it is characterised in that:
In step 2 above, the earthquake intensity I of the tomography is sought:
In formula, I is tomography earthquake intensity;SimaxIt is thrown for fault plane in some cubic unit body is maximum on a certain vertical plane of cell cube
Shadow area, unit m2;hiIt is value, unit m with the depth to center of cell cube for the depth of the cell cube;H is evaluation region
Formation thickness, unit m;I is region anInternal tomography quantity.
5. the evaluation method of regional tectonics complexity according to claim 1, it is characterised in that: in above-mentioned steps
In 3, three-dimensional geologic is divided into 1m × 1m × 1m cubic unit body, secondary cubic unit is divided in each cell cube
Body counts the secondary cubic unit block number N (c) for having fold face to pass through in each cell cube, reduces secondary cubic unit body, enables
C=c0/2、c0/3、c0/4、c0/ 8, obtain corresponding N (c) value;It is launched in lgN (c)-lgc coordinate system, fitting obtains
Straight line solves straight slope with least square method, and absolute value is the similar dimension z of the cubic unit bodyi;Different depth
Fold suffered by vertical principal stress it is different, the size of vertical principal stress stress is one of complexity of structures of critical region
Standard, using depth in the plane as coefficient, to a certain unit area a of earth surface areanFor, the fold of the unit area
Solid dimension Dzs:
In formula, DzsIt is tieed up for the fold solid in the region;ZiFor region a in three-dimensional geological body to be evaluatednInside there is fold face to pass through
The similar dimension of cubic unit body;hiFor the depth of the cubic unit body, unit m;H is the stratum overall thickness in region to be evaluated, single
Position m;N is region anFold quantity.
6. the evaluation method of regional tectonics complexity according to claim 1, it is characterised in that: in above-mentioned steps
In 3, performance characteristic of the fold in three-dimensional formation is one group of flexure plane parallel to each other, then with across the stratum of cubic unit body
Level indicates the fold degree of the cell cube;Seek the Gaussian curvature in fold face: set fold face as
Then
In formula, KiFor the Gaussian curvature of the cubic unit body.
In formula, K is region anTotal Gaussian curvature, kiFor plane domain anUnder all fold faces Gaussian curvature, hiFor
The depth of the cubic unit body, unit m;H is the stratum overall thickness in region to be evaluated, unit m;N is the fold quantity in the region.
7. the evaluation method of regional tectonics complexity according to claim 1, it is characterised in that: in above-mentioned steps
In 4, region a is characterized with the intrusion index Q of magmatic rocknStructures In Magmatic influence degree:
In formula, Q is unit area anIgneous invasion index, ViFor the volume of the intrusive gas of the cell cube, unit m3;hi
For the depth of the cell cube, unit m;H is the stratum overall thickness in region to be evaluated, unit m;N is that the magma in unit area is invaded
Enter body number.
8. the evaluation method of regional tectonics complexity according to claim 1, it is characterised in that: in above-mentioned steps
In 5,
In formula, M is region an karst collapse col umn index;viTo subside column volume, unit m in region3;hiFor karst collapse col umn depth, unit m;
H is the formation thickness in the region to be evaluated, unit m;N is the karst collapse col umn quantity in the region;B is karst collapse col umn fragmentation degree, this
Invention is quantified as 1: stratum is more complete;2: stratum is in fragmentation state;4: stratum and its broken being not generally visible original state.
9. the evaluation method of regional tectonics complexity according to claim 1, it is characterised in that: in above-mentioned steps
In 6, above-mentioned data are normalized:
In formula, Xi' it is normalized formation parameter, xiFor a unit area anParameter, μ be region a to be evaluated1~anNumber
According to mean value, σ is area data a to be evaluated1~anStandard deviation;And treat evaluation region a1~anComplexity of structures carry out
Scoring:
Tan=0.23Dds+0.21I+0.25Dzs+0.21K+0.05Q+0.05M (9) 。
10. the evaluation method of regional tectonics complexity according to claim 1, it is characterised in that: in above-mentioned step
In rapid 7, complexity of structures rank is divided:
Region anComplexity of structures classification
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WO2020211277A1 (en) * | 2019-04-18 | 2020-10-22 | 中国矿业大学 | Method for evaluating regional geological structure complexity |
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Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US6052333A (en) * | 1992-10-23 | 2000-04-18 | Texaco Inc. | Method for seismic antenna illumination of subterranean feature for display and evaluation |
CN101853522A (en) * | 2010-04-30 | 2010-10-06 | 中国矿业大学(北京) | Multidimensional space information quality detecting and analyzing model and modeling method thereof |
CN105243394A (en) * | 2015-11-03 | 2016-01-13 | 中国矿业大学 | Evaluation method for performance influence degree of classification models by class imbalance |
CN106019405A (en) * | 2016-05-13 | 2016-10-12 | 赵向原 | Reservoir crack modeling method and system |
CN107015275A (en) * | 2017-04-14 | 2017-08-04 | 中国矿业大学(北京) | Karst collapse col umn detection method and device |
CN107193053A (en) * | 2017-07-12 | 2017-09-22 | 中国石油化工股份有限公司胜利油田分公司勘探开发研究院西部分院 | The vertical transporting capability evaluation method of nappe-gliding structure Volcanic Area reversed fault subdivision in front of the mountains |
CN107942381A (en) * | 2017-11-01 | 2018-04-20 | 中国矿业大学 | A kind of fine and close oily reservoir stratification seam quantitative forecasting technique |
CN109345119A (en) * | 2018-09-30 | 2019-02-15 | 山东科技大学 | A kind of roof Dynamical Division evaluation method based on analytic hierarchy process (AHP) |
Family Cites Families (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US8892388B2 (en) * | 2010-09-30 | 2014-11-18 | Schlumberger Technology Corporation | Box counting enhanced modeling |
CN104239738B (en) * | 2014-09-28 | 2016-09-21 | 山东科技大学 | The original Forecasting Methodology leading high-band of a kind of base plate |
US11112530B2 (en) * | 2016-11-04 | 2021-09-07 | Exxonmobil Upstream Research Company | Global inversion of gravity data using the principle of general local isostasy for lithospheric modeling |
CN106934860B (en) * | 2017-01-12 | 2019-12-31 | 天津大学 | Three-dimensional geological modeling method based on T-spline |
CN108804849B (en) * | 2018-06-22 | 2022-04-26 | 西南石油大学 | Rock mechanical parameter evaluation method based on structural complexity |
CN109598015B (en) * | 2018-10-08 | 2023-06-06 | 成都理工大学 | Grading evaluation method for rock mass fragmentation degree of fragmentation structure |
CN109490985A (en) * | 2018-12-24 | 2019-03-19 | 桂林理工大学 | A kind of geophysical reconnaissance system and method |
CN110007343B (en) * | 2019-04-18 | 2021-01-29 | 中国矿业大学 | Method for evaluating complexity of regional geological structure |
-
2019
- 2019-04-18 CN CN201910312580.0A patent/CN110007343B/en active Active
- 2019-09-16 WO PCT/CN2019/105877 patent/WO2020211277A1/en active Application Filing
- 2019-09-16 AU AU2019429806A patent/AU2019429806B2/en not_active Ceased
Patent Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US6052333A (en) * | 1992-10-23 | 2000-04-18 | Texaco Inc. | Method for seismic antenna illumination of subterranean feature for display and evaluation |
CN101853522A (en) * | 2010-04-30 | 2010-10-06 | 中国矿业大学(北京) | Multidimensional space information quality detecting and analyzing model and modeling method thereof |
CN105243394A (en) * | 2015-11-03 | 2016-01-13 | 中国矿业大学 | Evaluation method for performance influence degree of classification models by class imbalance |
CN106019405A (en) * | 2016-05-13 | 2016-10-12 | 赵向原 | Reservoir crack modeling method and system |
CN107015275A (en) * | 2017-04-14 | 2017-08-04 | 中国矿业大学(北京) | Karst collapse col umn detection method and device |
CN107193053A (en) * | 2017-07-12 | 2017-09-22 | 中国石油化工股份有限公司胜利油田分公司勘探开发研究院西部分院 | The vertical transporting capability evaluation method of nappe-gliding structure Volcanic Area reversed fault subdivision in front of the mountains |
CN107942381A (en) * | 2017-11-01 | 2018-04-20 | 中国矿业大学 | A kind of fine and close oily reservoir stratification seam quantitative forecasting technique |
CN109345119A (en) * | 2018-09-30 | 2019-02-15 | 山东科技大学 | A kind of roof Dynamical Division evaluation method based on analytic hierarchy process (AHP) |
Non-Patent Citations (4)
Title |
---|
吴财芳 等: ""基于层次分析法的煤储层构造复杂程度定量评价"", 《河南理工大学学报(自然科学版)》 * |
舒建生 等: ""地质构造复杂程度定量化评估"", 《煤田地质与勘探》 * |
苏贵芬 等: ""灰色模糊理论在地质构造复杂程度评价中应用"", 《煤炭科学技术》 * |
陈善成 等: ""祁东煤矿61煤地质构造复杂程度定量分析"", 《煤炭科学技术》 * |
Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2020211277A1 (en) * | 2019-04-18 | 2020-10-22 | 中国矿业大学 | Method for evaluating regional geological structure complexity |
CN112987087A (en) * | 2021-02-20 | 2021-06-18 | 中南大学 | Early warning method for micro-seismic monitoring/acoustic emission fracture source time-space distribution state and trend |
CN112987087B (en) * | 2021-02-20 | 2022-01-04 | 中南大学 | Early warning method for micro-seismic monitoring/acoustic emission fracture source time-space distribution state and trend |
CN112687001A (en) * | 2021-03-15 | 2021-04-20 | 四川省公路规划勘察设计研究院有限公司 | Three-dimensional geological structure model random generation and uncertainty analysis method |
CN112687001B (en) * | 2021-03-15 | 2021-06-01 | 四川省公路规划勘察设计研究院有限公司 | Three-dimensional geological structure model random generation and uncertainty analysis method |
CN114966842A (en) * | 2022-05-27 | 2022-08-30 | 山东科技大学 | Construction method of three-dimensional visualization model of coal-bearing stratum fault |
CN114966842B (en) * | 2022-05-27 | 2024-06-07 | 山东科技大学 | Method for constructing three-dimensional visualization model of coal-bearing stratum fault |
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