CN106468171A - The laddering glutenite petrofacies method of discrimination of multi information coupling - Google Patents
The laddering glutenite petrofacies method of discrimination of multi information coupling Download PDFInfo
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Abstract
The present invention provides a kind of laddering glutenite petrofacies method of discrimination of multi information coupling, and the laddering glutenite petrofacies method of discrimination of this multi information coupling includes：Step 1, carries out sensitivity factor analysis, determines different petrofacies sensitivity logging curve series；Step 2, builds petrofacies logging mode, determines log property parameters index corresponding to different petrofacies；Step 3, determines not at the same level deposition interface type, and division can differentiate single type sedimentation unit；Step 4, sets up the two-dimentional well log attributes index of different sedimentation units；Step 5, determines its Lithofacies Types according to different petrofacies well log attributes patterns, sets up continuous lithofacies successions.The laddering glutenite petrofacies method of discrimination of this multi information coupling, on the basis of logging program sensitivity analyses, builds different petrofacies well log attributes patterns, and the sedimentation unit in conjunction with many algorithm couples divides, and determines the continuouss distribution of Lithofacies Types.
Description
Technical field
The present invention relates to oil field development technical field, especially relate to one kind based on different logging programs, different well logging genus
Property, the multi information coupling such as different mathematical algorithm carries out sandy gravel materials petrofacies continuouss and sentences method for distinguishing.
Background technology
Sandy gravel materials anisotropism is strong, and Lithofacies Types complexity is various.Different Lithofacies Types vertical variations are fast, and single rock
Phase thickness is typically relatively thin, is affected by log response resolution, and different logging programs are subject to shoulder effect serious, lead to glutenite
Reservoir Lithofacies identification is difficult.How effectively to identify sandy gravel materials Lithofacies Types, it has also become sandy gravel materials reservoir exploration,
Develop one of faced bottleneck.We have invented a kind of laddering glutenite petrofacies of new multi information coupling to differentiate for this
Method, solves above technical problem.
Content of the invention
It is an object of the invention to provide one kind is on the basis of logging program sensitivity analyses, build different petrofacies well log attributes moulds
Formula, determines the laddering glutenite petrofacies method of discrimination of the multi information coupling of the continuouss distribution of Lithofacies Types.
The purpose of the present invention can be achieved by the following technical measures：The laddering glutenite petrofacies differentiation side of multi information coupling
Method, the laddering glutenite petrofacies method of discrimination of this multi information coupling includes：Step 1, carries out sensitivity factor analysis, with
Scale difference logging program curve based on drilling and coring delivery, Image Logging Data, in conjunction with the resolution of different logging program curves
Rate and investigation depth difference, determine different petrofacies sensitivity logging curve series；Step 2, builds petrofacies logging mode, root
According to Lithofacies Types and difference in thickness, in conjunction with the vertical resolution of selected log series, preferably specific purpose interval storage
Layer logging response character value determines method, sets up log property parameters index corresponding to different petrofacies；Step 3, according to
Reservoir vertical deposition evolutionary series, with corresponding Lithofacies Types logging response character as partitioning standards, set up sandy gravel materials and sink
Long-pending interface type and standard, determine not at the same level deposition interface type, and division can differentiate single type petrofacies sedimentation unit；
Step 4, according to the sedimentation unit of not at the same level deposition interface restriction, sets up the two-dimentional well log attributes index of different sedimentation units；
Step 5, with sandy gravel materials depositional model for instructing, is responded as foundation with different petrofacies well log attributes patterns and signature logging,
Determine the Lithofacies Types under not at the same level deposition interface restriction, on the basis of Geological Mode constraint, set up continuous lithofacies successions.
The purpose of the present invention also can be achieved by the following technical measures：
In step 1, based on drilling and coring delivery description, Image Logging Data explanation results, nine conventional logging systems are divided
The Lithofacies Types that row can differentiate, on the basis of corresponding logging program resolution capability, build different petrofacies sample layers, by poly-
Alanysis, principal component analytical method, determine different petrofacies sensitivity logging curve series.
In step 2, according to different Lithofacies Types features, according to vertical resolution and the horizontal detection of different logging programs
Depth, preferably different signature loggings responds method of discrimination, including averaging method, extremum method, advantage analog value method, extracts
The sensitivity logging curve series of features value consistent with Lithofacies Types and log property parameters, by frequency histogram,
Optimality analysis method, determines log property parameters index corresponding to different petrofacies.
In step 3, for sensitivity logging curve series, in conjunction with its corresponding vertical resolution, carry out log filter
Ripple, passes through activity, corner feature analysis further, determines not at the same level deposition interface type, division can differentiate unitary class
Type sedimentation unit.
In step 4, the different logging programs corresponding to all types of sedimentation units under not at the same level deposition interface constraint are extracted
Well log attributes parameter, reads corresponding log response value, sets up the two-dimentional well log attributes index of different sedimentation units.
In steps of 5, analyze particular deposition unit well log attributes index, by level secondary control, by thick to thin, with glutenite
The depositional model that reservoir relative is answered, geology vertical petrofacies evolutionary series are constraints, according to different petrofacies well log attributes moulds
Formula determines its Lithofacies Types, and then sets up continuous lithofacies successions.
The laddering glutenite petrofacies method of discrimination of the multi information coupling in the present invention, based on different logging programs, different survey
The multi information couplings such as well attribute, different mathematical algorithm carry out sandy gravel materials petrofacies continuouss and sentence method for distinguishing.Including sensitive
Sex factor analysis, petrofacies logging mode build, multilevel sedimentation unit divides, well log attributes and characteristics extraction, continuous
Type Lithofacies Types differentiate five steps.By the correlation analysiss between different glutenite petrofacies and logging program, determine to rock
The log type of phase sensitive, sets up the well log attributes pattern of different petrofacies；Using the log shape such as activity, flex point
State feature, determines not at the same level reservoir sedimentary unit interface, extracts rudimentary sedimentation unit and corresponds to log response value and form
Attribute；By laddering contrast, determine reservoir continuouss Lithofacies Types.The laddering gravel of the multi information coupling of the present invention
Rock petrofacies method of discrimination, on the basis of logging program sensitivity analyses, builds different petrofacies well log attributes patterns, calculates in conjunction with more
The sedimentation unit of method coupling divides, and determines the continuouss distribution of Lithofacies Types.
Brief description
Fig. 1 is the flow chart of a specific embodiment of laddering glutenite petrofacies method of discrimination of multi information coupling of the present invention；
Fig. 2 is petrofacies logging program 1 logging response character value frequency histograms different in a specific embodiment of the present invention；
Fig. 3 is petrofacies logging program 2 logging response character value frequency histograms different in a specific embodiment of the present invention.
Specific embodiment
Above and other objects, features and advantages for enabling the present invention become apparent, cited below particularly go out preferred embodiment,
And coordinate shown in accompanying drawing, it is described in detail below.
Different logging program log responses are the concentrated expression to reservoir particular characteristics, and the eigenvalue of log, frequency,
The all reflection reservoir changes to a certain extent of the attributes such as tooth degree.By different logging program log response self attributes
Coupling and couple, can effectively identify reservoir difference Lithofacies Types the change of divergence, thus realize petrofacies continuouss differentiate with
Divide.
As shown in figure 1, Fig. 1 is the flow chart of the laddering glutenite petrofacies method of discrimination of multi information coupling of the present invention.
In step 101, based on rock core, Image Logging Data, divide the Lithofacies Types that log response can differentiate, build
Different petrofacies sample layers, by methods such as cluster analyses, principal component analysiss, determine different petrofacies sensitivity logging curve systems
Row.
In step 102, extract sensitivity logging curve series of features value and log property parameters, by frequency histogram,
The methods such as optimality analysis, determine log property parameters index corresponding to different petrofacies.
In step 103, for sensitivity logging curve series, in conjunction with its corresponding vertical resolution, carry out log filter
Ripple, passes through the feature analysiss such as activity, flex point further, determines not at the same level deposition interface type, division can differentiate single
Type deposition unit.
In step 104, extract each sedimentation unit difference logging program well log attributes parameter, set up the two dimension of different sedimentation units
Well log attributes index.
In step 105, analyze particular deposition unit well log attributes index, by level secondary control, by thick to thin, according to different
Petrofacies well log attributes pattern determines its Lithofacies Types, and then sets up continuous lithofacies successions.
In a specific embodiment of the application present invention, comprise the following steps：
In step 1, based on drilling and coring delivery description, Image Logging Data explanation results, nine conventional logging systems are divided
The Lithofacies Types that row can differentiate, on the basis of corresponding logging program resolution capability, build different petrofacies sample layers, by poly-
Alanysis, principal component analytical method, determine different petrofacies sensitivity logging curve series.
In step 2, according to different Lithofacies Types features, according to vertical resolution and the horizontal detection of different logging programs
Depth, preferably different signature loggings responds method of discrimination, including averaging method, extremum method, advantage analog value etc., extracts
The sensitivity logging curve series of features value consistent with Lithofacies Types and log property parameters, by frequency histogram,
Optimality analysis method, determines log property parameters index corresponding to different petrofacies, as shown in Figures 2 and 3.
In step 3, for sensitivity logging curve series, in conjunction with its corresponding vertical resolution, carry out log filter
Ripple, passes through activity, corner feature analysis further, determines not at the same level deposition interface type, division can differentiate unitary class
Type sedimentation unit.
In step 4, the different logging programs corresponding to all types of sedimentation units under not at the same level deposition interface constraint are extracted
Well log attributes parameter, reads corresponding log response value, sets up the two-dimentional well log attributes index of different sedimentation units.
In steps of 5, analyze particular deposition unit well log attributes index, by level secondary control, by thick to thin, with glutenite
The depositional model that reservoir relative is answered, geology vertical petrofacies evolutionary series are constraints, according to different petrofacies well log attributes moulds
Formula determines its Lithofacies Types, and then sets up continuous lithofacies successions.
The method that the present invention is based on " drilling core graduation imaging, imaging scale well logging ", using principal component analysiss, cluster analyses
Scheduling algorithm, determines well logging sensitivity series and the ATTRIBUTE INDEX of different petrofacies, builds different petrofacies and be based on logging program attribute
Parameter discrimination model.According to different logging program vertical resolutions, on the basis of log filtering, using activity,
The well log attributes characteristic parameter such as flex point, determines not at the same level deposition interface type, divides not at the same level sedimentation unit, is rock
Facies type is divided and is laid the foundation with differentiation.Based on not at the same level sedimentation unit, extract corresponding logging program log
Eigenvalue and property parameters, by level secondary control, by thick to thin, according to different petrofacies well log attributes Model Establishment serialitys
Lithofacies successions.
Claims (6)
1. the laddering glutenite petrofacies method of discrimination of multi information coupling is it is characterised in that the laddering glutenite petrofacies method of discrimination of this multi information coupling includes：
Step 1, carries out sensitivity factor analysis, scale difference logging program curve, the resolution in conjunction with different logging program curves and investigation depth difference based on drilling and coring delivery, Image Logging Data, determines different petrofacies sensitivity logging curve series；
Step 2, build petrofacies logging mode, according to Lithofacies Types and difference in thickness, in conjunction with the vertical resolution of selected log series, preferably specific purpose interval reservoir logging response character value determines method, sets up log property parameters index corresponding to different petrofacies；
Step 3, according to reservoir vertical deposition evolutionary series, with corresponding Lithofacies Types logging response character as partitioning standards, sets up sandy gravel materials deposition interface type and standard, determines not at the same level deposition interface type, division can differentiate single type petrofacies sedimentation unit；
Step 4, according to the sedimentation unit of not at the same level deposition interface restriction, sets up the two-dimentional well log attributes index of different sedimentation units；
Step 5, with sandy gravel materials depositional model for instructing, is responded as foundation with different petrofacies well log attributes patterns and signature logging, determines the Lithofacies Types under not at the same level deposition interface restriction, sets up continuous lithofacies successions on the basis of Geological Mode constraint.
2. the laddering glutenite petrofacies method of discrimination of multi information coupling according to claim 1, it is characterized in that, in step 1, based on drilling and coring delivery description, Image Logging Data explanation results, divide the Lithofacies Types that nine conventional logging suites can differentiate, on the basis of corresponding logging program resolution capability, build different petrofacies sample layers, by cluster analyses, principal component analytical method, determine different petrofacies sensitivity logging curve series.
3. the laddering glutenite petrofacies method of discrimination of multi information coupling according to claim 1, it is characterized in that, in step 2, according to different Lithofacies Types features, vertical resolution and horizontal detection depth according to different logging programs, preferably different signature logging response method of discrimination, including averaging method, extremum method, advantage analog value method, extract the sensitivity logging curve series of features value consistent with Lithofacies Types and log property parameters, by frequency histogram, optimality analysis method, determine log property parameters index corresponding to different petrofacies.
4. the laddering glutenite petrofacies method of discrimination of multi information coupling according to claim 1, it is characterized in that, in step 3, for sensitivity logging curve series, in conjunction with its corresponding vertical resolution, carry out log filtering, pass through activity, corner feature analysis further, determine not at the same level deposition interface type, division can differentiate single type sedimentation unit.
5. the laddering glutenite petrofacies method of discrimination of multi information coupling according to claim 1, it is characterized in that, in step 4, extract the different logging program well log attributes parameters corresponding to all types of sedimentation units under not at the same level deposition interface constraint, read corresponding log response value, set up the two-dimentional well log attributes index of different sedimentation units.
6. the laddering glutenite petrofacies method of discrimination of multi information coupling according to claim 1, it is characterized in that, in steps of 5, analysis particular deposition unit well log attributes index, by level secondary control, by thick to thin, with the corresponding depositional model of sandy gravel materials, geology vertical petrofacies evolutionary series as constraints, determine its Lithofacies Types according to different petrofacies well log attributes patterns, and then set up continuous lithofacies successions.
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