CN109521178A - A kind of geologic sedimentation process variation analysis method and system - Google Patents
A kind of geologic sedimentation process variation analysis method and system Download PDFInfo
- Publication number
- CN109521178A CN109521178A CN201710842684.3A CN201710842684A CN109521178A CN 109521178 A CN109521178 A CN 109521178A CN 201710842684 A CN201710842684 A CN 201710842684A CN 109521178 A CN109521178 A CN 109521178A
- Authority
- CN
- China
- Prior art keywords
- lithology
- process variation
- depth
- variation analysis
- sedimentation process
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/24—Earth materials
Landscapes
- Life Sciences & Earth Sciences (AREA)
- Health & Medical Sciences (AREA)
- Engineering & Computer Science (AREA)
- Chemical & Material Sciences (AREA)
- Food Science & Technology (AREA)
- Analytical Chemistry (AREA)
- Geology (AREA)
- General Life Sciences & Earth Sciences (AREA)
- Environmental & Geological Engineering (AREA)
- Medicinal Chemistry (AREA)
- Physics & Mathematics (AREA)
- Remote Sensing (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Geophysics And Detection Of Objects (AREA)
Abstract
Disclose a kind of geologic sedimentation process variation analysis method and system.This method comprises: 1) interval of interest is sampled in target block, and lithology breakdown is carried out to rock sample；2) factor based on control rock growth category establishes one or more dimensions；3) occurrence scope and average value under the dimension that every kind of lithology is established in step 2) are determined；It 4) is the lithology assignment of depth or thickness coordinate system in geological epoch calibration and high frequency etc. on the basis of the division of stratigraphic unit；5) the when depth relationship provided based on equal times Stratigraphic framework, is converted to time coordinate for depth coordinate；6) it is smoothed, the period under the dimension that step 2) is established is determined based on the result after smoothing processing.The data such as integrated application outcrop of the present invention, well logging on stratum etc. on the basis of time intervals dividing elements, realize and carry out quantitative analysis to geology deposition process periodic regularity, achieve good application effect.
Description
Technical field
The present invention relates to Basic quota fields, more particularly, to a kind of geologic sedimentation process variation analysis method
And system.
Background technique
In the prior art there is no can based on etc. time intervals classification and correlation on the basis of quantitative analysis
The method of the cyclically-varying feature of certain regional stratum deposition process.It being capable of quantitative analysis deposition therefore, it is necessary to develop one kind
The method of the cyclic fluctuation of stratigraphic cycles rule and description deposition process.
The information for being disclosed in background of invention part is merely intended to deepen the reason to general background technique of the invention
Solution, and it is known to those skilled in the art existing to be not construed as recognizing or imply that the information is constituted in any form
Technology.
Summary of the invention
For quantitative analysis sedimentary formation cyclicity rule, and in order to etc. the stratum compartment quantification of time intervals retouch
Cycle of sedimentation rule is stated, the invention proposes a kind of geologic sedimentation process variation analysis method and systems.
According to an aspect of the invention, it is proposed that a kind of geologic sedimentation process variation analysis method.This method comprises:
1) interval of interest is sampled in target block, and carries out lithology breakdown to rock sample；
2) factor based on control rock growth category establishes one or more dimensions；
3) occurrence scope and average value under the dimension that every kind of lithology is established in step 2) are determined；
It 4) is depth or thickness coordinate system in geological epoch calibration and high frequency etc. on the basis of the division of stratigraphic unit
Lithology assignment；
5) the when depth relationship provided based on equal times Stratigraphic framework, is converted to time coordinate for depth coordinate；
6) it is smoothed, the period under the dimension that step 2) is established is determined based on the result after smoothing processing.
Preferably, the interval of interest is successive sedimentation and the not no interval of strata denudation.
Preferably, sample point is drilling well or appears.
Preferably, the occurrence scope of lithology is relative value occurrence scope or absolute value occurrence scope in step 3).
According to another aspect of the invention, it is proposed that a kind of geologic sedimentation process variation analysis system.The system includes storage
Device, processor and storage are on a memory and the computer program that can run on a processor, which is characterized in that the processing
Device performs the steps of when executing described program
1) interval of interest is sampled in target block, and carries out lithology breakdown to rock sample；
2) factor based on control rock growth category establishes one or more dimensions；
3) occurrence scope and average value under the dimension that every kind of lithology is established in step 2) are determined；
It 4) is depth or thickness coordinate system in geological epoch calibration and high frequency etc. on the basis of the division of stratigraphic unit
Lithology assignment；
5) the when depth relationship provided based on equal times Stratigraphic framework, is converted to time coordinate for depth coordinate；
6) it is smoothed, the period under the dimension that step 2) is established is determined based on the result after smoothing processing.
Preferably, the interval of interest is successive sedimentation and the not no interval of strata denudation.
Preferably, sample point is drilling well or appears.
Preferably, the occurrence scope of lithology is relative value occurrence scope or absolute value occurrence scope in step 3).
The data such as integrated application outcrop of the present invention, well logging, it is real on stratum etc. on the basis of time intervals dividing elements
Show and quantitative analysis is carried out to geology deposition process periodic regularity, has achieved good application effect.
Methods and apparatus of the present invention has other characteristics and advantages, these characteristics and advantages are attached from what is be incorporated herein
It will be apparent in figure and subsequent specific embodiment, or will be in the attached drawing and subsequent specific implementation being incorporated herein
It is stated in detail in example, these the drawings and specific embodiments are used together to explain specific principle of the invention.
Detailed description of the invention
Exemplary embodiment of the present is described in more detail in conjunction with the accompanying drawings, of the invention is above-mentioned and other
Purpose, feature and advantage will be apparent, wherein in exemplary embodiments of the present invention, identical reference label is usual
Represent same parts.
Fig. 1 shows the flow chart of geologic sedimentation process variation analysis method in accordance with an exemplary embodiment of the invention；
Fig. 2 shows different lithology " global sea or weather " and " local landforms " two dimensions occurrence scope；
Fig. 3 shows the assignment of certain well well logging lithology；
Fig. 4 shows the assignment using the time as ordinate；
Fig. 5 shows global sea or climatic cycle distribution histogram.
Specific embodiment
The present invention will be described in more detail below with reference to accompanying drawings.Although showing the preferred embodiment of the present invention in attached drawing,
However, it is to be appreciated that may be realized in various forms the present invention and should not be limited by the embodiments set forth herein.On the contrary, providing
These embodiments are of the invention more thorough and complete in order to make, and can will fully convey the scope of the invention to ability
The technical staff in domain.
Below with reference to the geologic sedimentation process variation analysis side of Fig. 1 detailed description in accordance with an exemplary embodiment of the invention
Method.This method specifically includes that
Step 1: interval of interest is sampled in target block, and carries out lithology breakdown to rock sample.
Interval of interest is sampled in target block, which should be that there is no the layers of strata denudation for successive sedimentation
Section, sample point, which can be drilling well and can also be, appears.
Category name is carried out to the lithology of demonstration sample, obtains the rock type developed in the interval, for example, thin
Brilliant limestone, micrite, argillaceous limestone, rock salt, cream rock etc..
Step 2: the factor based on control rock growth category establishes a dimension or multiple dimensions.
For example, the principal element of control rock growth category includes global sea or weather, local landforms and the depth of water etc.
Deng can establish a dimension, also can establish multiple dimensions.
Step 3: determining the occurrence scope and average value under the dimension that every kind of lithology is established in step 2.
It is quantified under the dimension established in step 2 to every kind of rock sample, i.e., occurrence scope under the dimension (including most
Small value, maximum value) and average value, it also can establish most probable value etc..
The occurrence scope can be relative value occurrence scope, be also possible to absolute value occurrence scope.
Step 4: being depth or thickness coordinate system in geological epoch calibration and high frequency etc. on the basis of the division of stratigraphic unit
The lithology assignment of system.Including carrying out geochronic assignment to maximum value, minimum value or mean value etc. based on available data.
Step 5: depth coordinate is converted to time coordinate by the when depth relationship provided based on equal times Stratigraphic framework.
Etc. time intervals age screen work calibration under, by the value in step 4 be transformed into the time be ordinate stratum lattice
In frame.
Step 6: being smoothed, determine the period under the dimension that step 2 is established.
It can use the Time-Frequency Analysis Methods such as sliding window, wavelet analysis or empirical mode decomposition and carry out period calculating.Through
After smoothing processing, the existing primary period under each dimension is shown using such as histogram, that is, reflects and deposits under these dimensions
In these periods.
Using example
This application example passes through drilling well high frequency stratum by taking Dolomitization, Lower Paleozoic, tarim Basin Cambrian-Ordovician stratum as an example
The division and comparison of cycle, are analyzed using this patent method, are carried out to the periodicity of interval of interest sedimentation process
Analysis, obtains good application effect.
Expert system is initially set up, analysis is in dimension 1 (global sea variation or weather) and dimension 2 (local landforms) two
Under a governing factor, the range of various lithology developments, as shown in Figure 2.And the phase in dimension 1 and dimension 2 is determined for every kind of lithology
To value occurrence scope, as shown in the table.
Table 1
| Lithology | A | B | Lithology | A | B | Lithology | A | B |
| Fine grain limestone | 2-4 | 1-3 | Gypsum matter dolomite | 5-9 | 3-6 | Rock salt | 7-9 | 7-9 |
| White clouds matter calcarenite | 2-2 | 1-2 | Dolarenite | 1-2 | 1-2 | Containing salt constituent | 5-9 | 5-9 |
| Spar calcarenite | 2-2 | 1-2 | Fine grain dolomite | 1-4 | 1-3 | Gypsum matter rock salt | 6-9 | 6-9 |
| Sand formation cuttings powder crystal limestone | 2-3 | 1-3 | Powder crystal dolomite | 1-5 | 1-4 | Cream rock | 4-9 | 4-9 |
| Sand formation cuttings micrite | 2-3 | 1-3 | Containing grey powder crystal dolomite | 1-5 | 1-4 | Selenolite | 4-9 | 4-9 |
| Dolomitic limestone | 2-5 | 1-6 | Dolomite | 1-9 | 1-5 | Grey mud stone | 1-4 | 8-9 |
| White clouds matter micrite | 2-5 | 1-5 | Dolomicrite | 1-9 | 1-5 | Brown mud stone | 6-8 | 1-2 |
| White clouds matter marl | 2-4 | 5-7 | Argillaceous dolomite | 1-4 | 5-7 | Brown grey matter mud stone | 5-7 | 2-3 |
| Micrite | 2-5 | 1-5 | Calcite dolomite | 1-6 | 1-6 | Brown stone creaming mudstone | 6-8 | 2-4 |
| Argillaceous limestone | 2-4 | 5-7 | Micritic calcite dolomite | 1-9 | 1-5 | Taupe gray grey matter mud stone | 2-5 | 5-8 |
| Grey grey matter mud stone | 2-4 | 7-8 | Grey dolomicrite containing sand | 1-4 | 1-1 | Brown mud stone containing gypsum | 6-8 | 2-4 |
| Brown white clouds matter mud stone | 1-3 | 6-9 |
It is the rock of depth or thickness coordinate system in geological epoch calibration and high frequency etc. on the basis of the division of stratigraphic unit
Property assignment, as shown in Figure 3.Using the when depth relationship that equal times Stratigraphic framework as shown in the table provides, depth coordinate is converted
For time coordinate, as shown in figure 4, and calculating the maximum value in time coordinate figure (a1, b1 in such as Fig. 4), minimum value (such as Fig. 4
In a2, b3), average value (a in such as Fig. 4~, b~).
Table 2
As shown in figure 4, being smoothed by step-length of 0.5ma.
Using the method for cycle analysis, the period in global sea variation or climate change dimension is calculated.Shown in Fig. 5
Global sea or climatic cycle distribution histogram in it is found that it there are primary period 1.2Ma, 2.2Ma, 3.7Ma, is reflected entirely
There are these periods for the variation of ball sea level or weather.
It will be understood by those skilled in the art that above to the purpose of the description of the embodiment of the present invention only for illustratively saying
The beneficial effect of bright the embodiment of the present invention is not intended to limit embodiments of the invention to given any example.
Various embodiments of the present invention are described above, above description is exemplary, and non-exclusive, and
It is not limited to disclosed each embodiment.Without departing from the scope and spirit of illustrated each embodiment, for this skill
Many modifications and changes are obvious for the those of ordinary skill in art field.The selection of term used herein, purport
In the principle, practical application or improvement to the technology in market for best explaining each embodiment, or make the art
Other those of ordinary skill can understand each embodiment disclosed herein.
Claims (8)
1. a kind of geologic sedimentation process variation analysis method characterized by comprising
1) interval of interest is sampled in target block, and carries out lithology breakdown to rock sample；
2) factor based on control rock growth category establishes one or more dimensions；
3) occurrence scope and average value under the dimension that every kind of lithology is established in step 2) are determined；
It 4) is the lithology of depth or thickness coordinate system in geological epoch calibration and high frequency etc. on the basis of the division of stratigraphic unit
Assignment；
5) the when depth relationship provided based on equal times Stratigraphic framework, is converted to time coordinate for depth coordinate；
6) it is smoothed, the period under the dimension that step 2) is established is determined based on the result after smoothing processing.
2. geologic sedimentation process variation analysis method according to claim 1, wherein the interval of interest is successive sedimentation
And the not no interval of strata denudation.
3. geologic sedimentation process variation analysis method according to claim 1, wherein sample point is drilling well or appears.
4. geologic sedimentation process variation analysis method according to claim 1, wherein the occurrence scope of lithology in step 3)
It is relative value occurrence scope or absolute value occurrence scope.
5. a kind of geologic sedimentation process variation analysis system, which is characterized in that the system comprises memory, processor and deposit
Store up the computer program that can be run on a memory and on a processor, which is characterized in that the processor executes described program
When perform the steps of
1) interval of interest is sampled in target block, and carries out lithology breakdown to rock sample；
2) factor based on control rock growth category establishes one or more dimensions；
3) occurrence scope and average value under the dimension that every kind of lithology is established in step 2) are determined；
It 4) is the lithology of depth or thickness coordinate system in geological epoch calibration and high frequency etc. on the basis of the division of stratigraphic unit
Assignment；
5) the when depth relationship provided based on equal times Stratigraphic framework, is converted to time coordinate for depth coordinate；
6) it is smoothed, the period under the dimension that step 2) is established is determined based on the result after smoothing processing.
6. geologic sedimentation process variation analysis system according to claim 5, wherein the interval of interest is successive sedimentation
And the not no interval of strata denudation.
7. geologic sedimentation process variation analysis system according to claim 5, wherein sample point is drilling well or appears.
8. geologic sedimentation process variation analysis system according to claim 5, wherein the occurrence scope of lithology in step 3)
It is relative value occurrence scope or absolute value occurrence scope.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710842684.3A CN109521178B (en) | 2017-09-18 | 2017-09-18 | Geological deposition process fluctuation analysis method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710842684.3A CN109521178B (en) | 2017-09-18 | 2017-09-18 | Geological deposition process fluctuation analysis method and system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN109521178A true CN109521178A (en) | 2019-03-26 |
| CN109521178B CN109521178B (en) | 2021-07-20 |
Family
ID=65769268
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710842684.3A Active CN109521178B (en) | 2017-09-18 | 2017-09-18 | Geological deposition process fluctuation analysis method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109521178B (en) |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| GB2309562A (en) * | 1996-01-26 | 1997-07-30 | Inst Francais Du Petrole | Modelling the filling of sedimentary basins |
| GB2384304A (en) * | 2002-01-04 | 2003-07-23 | Nigel Allister Anstey | Method of distinguishing types of geologic sedimentation |
| US20120215628A1 (en) * | 2011-02-22 | 2012-08-23 | Williams Ralph A | Chronostratigraphic Modeling and Mapping System and Method |
-
2017
- 2017-09-18 CN CN201710842684.3A patent/CN109521178B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| GB2309562A (en) * | 1996-01-26 | 1997-07-30 | Inst Francais Du Petrole | Modelling the filling of sedimentary basins |
| GB2384304A (en) * | 2002-01-04 | 2003-07-23 | Nigel Allister Anstey | Method of distinguishing types of geologic sedimentation |
| US20120215628A1 (en) * | 2011-02-22 | 2012-08-23 | Williams Ralph A | Chronostratigraphic Modeling and Mapping System and Method |
Non-Patent Citations (5)
| Title |
|---|
| 刘国臣等: "波动地质学研究中资料的收集与整理", 《石油大学学报（自然科学版）》 * |
| 包秀娟: "华南新元古代大塘坡组旋回地层学研究及其意义", 《中国优秀硕士学位论文全文数据库 基础科学辑》 * |
| 吴怀春等: "旋回地层学理论基础、研究进展和展望", 《地球科学——中国地质大学学报》 * |
| 张国仁: "用图解法表示控制相对海平面变化因素及其对沉积地层分布模式的影响", 《辽宁地质》 * |
| 黄春菊: "旋回地层学和天文年代学及其在中生代的研究现状", 《地学前缘》 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN109521178B (en) | 2021-07-20 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US11385374B2 (en) | Borehole dispersive wave processing with automatic dispersion matching for compressional and shear slowness | |
| RU2652172C2 (en) | Stratigraphic and structural interpretation of deviated and horizontal wellbores | |
| Subhakar et al. | Reservoir characterization using multifractal detrended fluctuation analysis of geophysical well-log data | |
| CN111025384B (en) | Reservoir stratum prediction method and device based on waveform classification intersection fusion | |
| DE112016001828T5 (en) | Continuous beamforming during motion: A method for reducing spatial overlap distortion in leak detection | |
| Lagos et al. | Microseismic event location using global optimization algorithms: An integrated and automated workflow | |
| J Al-Mudhafar | Integrating lithofacies and well logging data into smooth generalized additive model for improved permeability estimation: Zubair formation, South Rumaila oil field | |
| CN103869362A (en) | Method and equipment for obtaining body curvature | |
| Chen et al. | A novel iterative approach for mapping local singularities from geochemical data | |
| US20220120933A1 (en) | Method of detection of hydrocarbon horizontal slippage passages | |
| US9103933B2 (en) | Estimating a property by assimilating prior information and survey data | |
| Aleardi et al. | Two-stage and single-stage seismic-petrophysical inversions applied in the Nile Delta | |
| Venkataramanan et al. | New method to estimate porosity more accuately from NMR data with short relaxation times | |
| Ray* et al. | More robust methods of low-frequency model building for seismic impedance inversion | |
| Sharma et al. | Empirical relationship between strength and geophysical properties for weakly cemented formations | |
| Shiroodi et al. | Shear wave prediction using committee fuzzy model constrained by lithofacies, Zagros basin, SW Iran | |
| CN109521178A (en) | A kind of geologic sedimentation process variation analysis method and system | |
| CN107942373B (en) | Coherent algorithm based on fracture system detection of fractured oil and gas reservoir | |
| While et al. | A comparison of the variability of biological nutrients against depth and potential density | |
| Wang et al. | Prestack inversion based on anisotropic Markov random field–maximum posterior probability inversion and its application to identify shale gas sweet spots | |
| Pendrel et al. | Estimating porosity from 3D seismic inversion and 3D geostatistics | |
| Pinto et al. | Seismic uncertainty estimation in reservoir structural modelling | |
| CN113655544A (en) | High-precision stratum dividing method for organic-rich shale | |
| Liu et al. | Seismic geometric attributes and information integration techniques for interpretation of small faults | |
| Goto | Bayesian posterior mean in velocity modeling as alternative to resolution guaranteed imaging |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |