CN107817522A - A kind of Deterministic Methods of marine qualitative recognition hydrate top bottom interface - Google Patents
A kind of Deterministic Methods of marine qualitative recognition hydrate top bottom interface Download PDFInfo
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- CN107817522A CN107817522A CN201711039200.8A CN201711039200A CN107817522A CN 107817522 A CN107817522 A CN 107817522A CN 201711039200 A CN201711039200 A CN 201711039200A CN 107817522 A CN107817522 A CN 107817522A
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- hydrate
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- attribute
- bottom interface
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V1/00—Seismology; Seismic or acoustic prospecting or detecting
- G01V1/28—Processing seismic data, e.g. analysis, for interpretation, for correction
- G01V1/30—Analysis
- G01V1/301—Analysis for determining seismic cross-sections or geostructures
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V2210/00—Details of seismic processing or analysis
- G01V2210/60—Analysis
- G01V2210/64—Geostructures, e.g. in 3D data cubes
- G01V2210/647—Gas hydrates
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V2210/00—Details of seismic processing or analysis
- G01V2210/60—Analysis
- G01V2210/66—Subsurface modeling
- G01V2210/665—Subsurface modeling using geostatistical modeling
- G01V2210/6652—Kriging
Abstract
The invention discloses a kind of Deterministic Methods of marine qualitative recognition hydrate top bottom interface, including step：A, studied by Seismic reflection character, AVO, elastic impedance inversion the methods of study, obtain a variety of Sensitive Attributes that can identify hydrate；B, analyzed by above Sensitive Attributes and hydrate characteristic relation, calculate the weight coefficient of above attribute, information convergence analysis obtains the attribute for identifying hydrate feature；C, the space correlation relation between above-mentioned weighting attribute and interval transit time curve variable is studied, by the information of weighting attribute, by collocating kriging algorithm, establishes the model that can reflect hydrate feature；D, on the basis of the modeling of above-mentioned collocating kriging, global optimizing broad-band constrained inversion, the top bottom interface of qualitative recognition hydrate are carried out；The present invention reduces the interference of limitation and multi-solution caused by monotechnics, more accurately searches out hydrate favo(u)rable target, can identify the top bottom interface of hydrate.
Description
Technical field
The present invention relates to identification hydrate top bottom interface technical field, specially a kind of marine qualitative recognition hydrate top bottom
The Deterministic Methods at interface.
Background technology
Gas hydrates are distributed across in the permafrost of halmeic deposit or land-based area, are forced down by natural gas with water in height
The crystalline material of the class ice-like formed under the conditions of temperature.Because of its outward appearance as ice and also meet fire be incendivity, so also referred to as
Combustible ice or the gentle ice of solid gas.Gas hydrates methane content accounts for 80%-99.9%, Air-pollution From Combustion than coal, oil,
Natural gas is all much smaller, and rich reserves, and the global enough mankind of reserves use 1000, thus are considered as following oil by various countries
The alternative energy source of natural gas.
Research in terms of having carried out geology, geophysics currently for offshore natural gas hydrate resource, achieves one
Criticize technological achievement.These achievements mainly include three means：Seismic reflection character research, AVO (Amplitude Versus
Offset, amplitude with offset distance change), elastic impedance inversion.These three means can predict hydrate to a certain extent
Distribution, but every kind of method has multi-solution.In order to solve reduction method multi-solution, a kind of sea based on information fusion is determined
Property identification hydrate top bottom interface Deterministic Methods proposed by the applicant.This method is intended to that monotechnics institute band can be reduced
The limitation come and the interference of multi-solution, more accurately search out hydrate favo(u)rable target.
The content of the invention
It is an object of the invention to provide a kind of Deterministic Methods of marine qualitative recognition hydrate top bottom interface, to solve
The problem of being proposed in above-mentioned background technology.
To achieve the above object, the present invention provides following technical scheme：A kind of marine qualitative recognition hydrate top bottom interface
Deterministic Methods, comprise the following steps：
A, studied by Seismic reflection character, AVO, elastic impedance inversion the methods of study, obtain a variety of to identify water
The Sensitive Attributes of compound；
B, analyzed by above Sensitive Attributes and hydrate characteristic relation, calculate the weight coefficient of above attribute, information fusion
Analysis obtains the attribute for identifying hydrate feature；
C, the space correlation relation between above-mentioned weighting attribute and interval transit time curve variable is studied, by the letter of weighting attribute
Breath, by collocating kriging algorithm, establish the model that can reflect hydrate feature；
D, on the basis of above-mentioned collocating kriging model, global optimizing broad-band constrained inversion, qualitative recognition hydrate are carried out
Top bottom interface.
Preferably, the computational methods of weight coefficient comprise the following steps in the step B：
A, Sensitive Attributes and hydrate characteristic relation are nonlinear function；Kissed using Sensitive Attributes and hydrate geologic feature
Right its contribution of judgement；
B, nonlinear weight coefficient is calculated by Sensitive Attributes and the hydrate geologic feature goodness of fit, weighted information merges
To the attribute for identifying hydrate feature.
Preferably, in the step C collocating kriging algorithm include it is as follows：
A, according to the feature of information, information is classified, connatural variable or aggregation of variable of different nature are existed
Spatial weighting calculating is carried out together；
B, when the sampling amount of a variable is not enough to obtain the estimator of the required accuracy.And other variables have it is more sufficient
During sampling amount, the space correlation relation between the other variables of this scope of a variable is studied, is cooperateed with by the sample message of other variables
Kriging method can improves the estimated accuracy to this variable；
C, hydrate feature of coincideing is established using collaboration Gauss Kriging method, integrated use log data and geological data
, the surge impedance model with space anisotropic.
Preferably, global optimizing Band-constrained inversion comprises the following steps in the step D：
A, the basic data of inverting is inputted；Wherein, the basic data include poststack data, modeling data,
Layer position data, wavelet data；
B, the basic data in step a, object function is established, including real seismic record, composite traces, priori are about
Beam, transverse gradients constraint；
C, an optimal geophysical model is found so that the response of the model is with observing the residual error of data in a most young waiter in a wineshop or an inn
Multiply meaning and be issued to minimum, i.e., on the basis of the collocating kriging model of foundation, make full use of high-frequency information, improve inverting
Precision and resolution ratio, using the fast inversion algorithm of global optimizing, iterated revision repeatedly is carried out to initial geological model, is obtained
High-resolution sound impedance/quasi-acoustic inversion model；
D, final inverting is corresponded to according to the final high-resolution sound impedance/quasi-acoustic inversion model obtained in step c
As a result.
Compared with prior art, the beneficial effects of the invention are as follows：The present invention can be reduced to be limited to caused by monotechnics
The interference of property and multi-solution, more precisely searches out hydrate favo(u)rable target, can identify the top bottom interface of hydrate；
The key links such as Sensitive Attributes, weight coefficient, information fusion, collocating kriging algorithm, modeling, inverting are together in series by the present invention,
A variety of valuable informations are merged, reduce the interference of limitation and multi-solution caused by monotechnics；Pass through the party
Method predicts marine hydrate top bottom interface, objective clear, the especially bottom interface BSR of hydrate zone, meets well
The geological knowledge of hydrate；In addition, the inversion method in the present invention has, precision is high, with a high credibility, the characteristics of having a wide range of application.
Brief description of the drawings
Fig. 1 is flow chart of the present invention；
Fig. 2 is the experimental result schematic diagram of the present invention.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Site preparation describes, it is clear that described embodiment is only part of the embodiment of the present invention, rather than whole embodiments.It is based on
Embodiment in the present invention, those of ordinary skill in the art are obtained every other under the premise of creative work is not made
Embodiment, belong to the scope of protection of the invention.
Referring to Fig. 1, the present invention provides a kind of technical scheme：A kind of determination of marine qualitative recognition hydrate top bottom interface
Property method, it is characterised in that：Comprise the following steps：
A, studied by Seismic reflection character, AVO, elastic impedance inversion the methods of study, obtain a variety of to identify water
The Sensitive Attributes of compound；
B, analyzed by above Sensitive Attributes and hydrate characteristic relation, calculate the weight coefficient of above attribute, information fusion
Analysis obtains the attribute for identifying hydrate feature；
C, the space correlation relation between above-mentioned weighting attribute and interval transit time curve variable is studied, by the letter of weighting attribute
Breath, by collocating kriging algorithm, establish the model that can reflect hydrate feature；
D, on the basis of above-mentioned collocating kriging model, global optimizing broad-band constrained inversion, qualitative recognition hydrate are carried out
Top bottom interface.
On seismic profile, gas hydrates generally occur within-strongly reflecting layer, and substantially parallel with seabed, it is represented substantially
The bottom circle of hydrate zone.In the project of prediction hydrate, the attribute of hydrate will can be reacted, by information fusion side
Method, the attribute of hydrate is identified, then carries out collocating kriging modeling, inverting is then carried out, so as to reach deterministically
The purpose of qualitative recognition hydrate top bottom interface.
Collocating kriging algorithm comes from geostatistics.Geostatistics mainly studies geological object with space (or time)
The phenomenon of change.It provides a set of certainty and statistical instrument, and the spatial relationship of each variable is established by variogram,
It is better understood when the spatial variability with analog variable.
Connatural variable or aggregation of variable of different nature are carried out spatial weighting meter by collocating kriging algorithm together
Calculate.When the sampling amount of a variable is not enough to obtain the estimator of the required accuracy, and other variables have more sufficient sampling amount
When, the space correlation relation between this variable and other variables is studied, information fusion is utilized by the sample message of other variables
Can improves the estimated accuracy to this variable.
Embodiment one：
In the present invention, the computational methods of weight coefficient comprise the following steps in the step B：
A, Sensitive Attributes and hydrate characteristic relation are nonlinear function；Kissed using Sensitive Attributes and hydrate geologic feature
Right its contribution of judgement；
B, nonlinear weight coefficient is calculated by Sensitive Attributes and the hydrate geologic feature goodness of fit, weighted information merges
To the attribute for identifying hydrate feature.
In the present invention, collocating kriging algorithm includes as follows in step C：
A, according to the feature of information, information is classified, connatural variable or aggregation of variable of different nature are existed
Spatial weighting calculating is carried out together；
B, when the sampling amount of a variable is not enough to obtain the estimator of the required accuracy.And other variables have it is more sufficient
During sampling amount, the space correlation relation between the other variables of this scope of a variable is studied, is cooperateed with by the sample message of other variables
Kriging method can improves the estimated accuracy to this variable；
C, hydrate feature of coincideing is established using collaboration Gauss Kriging method, integrated use log data and geological data
, the surge impedance model with space anisotropic.
The present invention is analyzed by the space correlation relation of attribute information, and according to the distance between evidence ullage certificate
According to mutual conflict spectrum, the higher evidence of conflict spectrum is rejected, collocating kriging algorithm is more favorably improved and establishes kiss
The reliability of the model of Heshui compound feature.
In the present invention, global optimizing Band-constrained inversion comprises the following steps in step D：
A, the basic data of inverting is inputted；Wherein, the basic data include poststack data, modeling data,
Layer position data, wavelet data；
B, the basic data in step a, object function is established, including real seismic record, composite traces, priori are about
Beam, transverse gradients constraint；
C, an optimal geophysical model is found so that the response of the model and the residual error of observation data (seismic channel)
Minimum is issued in least square meaning, i.e., on the basis of the collocating kriging model of foundation, makes full use of high-frequency information, carries
The precision and resolution ratio of high inverting, using the fast inversion algorithm of global optimizing, iteration repeatedly is carried out to initial geological model
Amendment, obtains high-resolution sound impedance/quasi-acoustic inversion model；
D, final inverting is corresponded to according to the final high-resolution sound impedance/quasi-acoustic inversion model obtained in step c
As a result.
The global optimizing Band-constrained inversion that the present invention uses, which has, spends spy that is high, with a high credibility, having a wide range of application
Point, reduces computation complexity, preferably characterizes the nonlinear characteristic of data and the randomness of noise, can obtain more smart
Really, the higher inversion result of resolution ratio.
Experiment effect：
As shown in Fig. 2 the body control model that application message fusion method obtains, can reduce and limit to caused by monotechnics
The interference of property and multi-solution, more precisely searches out hydrate favo(u)rable target, can identify the top bottom interface of hydrate,
Especially BSR interfaces, very clearly.
In summary, the present invention can reduce the interference of limitation caused by monotechnics and multi-solution, more accurately
Ground searches out hydrate favo(u)rable target, can identify the top bottom interface of hydrate；The present invention by Sensitive Attributes, weight coefficient,
The key links such as information fusion, collocating kriging algorithm, modeling, inverting are together in series, and a variety of valuable informations are merged one
Rise, reduce the interference of limitation and multi-solution caused by monotechnics；Marine hydrate top bottom interface is predicted by this method,
It is objective clear, the especially bottom interface BSR of hydrate zone, meet the geological knowledge of hydrate well；In addition, this hair
Inversion method in bright has that precision is high, with a high credibility, the characteristics of having a wide range of application.
Although an embodiment of the present invention has been shown and described, for the ordinary skill in the art, can be with
A variety of changes, modification can be carried out to these embodiments, replace without departing from the principles and spirit of the present invention by understanding
And modification, the scope of the present invention is defined by the appended.
Claims (4)
- A kind of 1. Deterministic Methods of marine qualitative recognition hydrate top bottom interface, it is characterised in that：Comprise the following steps：A, studied by Seismic reflection character, AVO, elastic impedance inversion the methods of study, obtain a variety of to identify hydrate Sensitive Attributes；B, analyzed by above Sensitive Attributes and hydrate characteristic relation, calculate the weight coefficient of above attribute, information convergence analysis Obtain the attribute for identifying hydrate feature；C, the space correlation relation between above-mentioned weighting attribute and interval transit time curve variable is studied, by the information of weighting attribute, By collocating kriging algorithm, the model that can reflect hydrate feature is established；D, on the basis of above-mentioned collocating kriging model, global optimizing broad-band constrained inversion, the top of qualitative recognition hydrate are carried out Bottom interface.
- 2. a kind of Deterministic Methods of marine qualitative recognition hydrate top bottom interface according to claim 1, its feature exist In：The computational methods of weight coefficient comprise the following steps in the step B：A, Sensitive Attributes and hydrate characteristic relation are nonlinear function；Utilize Sensitive Attributes and the hydrate geologic feature goodness of fit Judge its contribution；B, nonlinear weight coefficient is calculated by Sensitive Attributes and the hydrate geologic feature goodness of fit, weighted information, which merges, to be used In the attribute of identification hydrate feature.
- 3. a kind of Deterministic Methods of marine qualitative recognition hydrate top bottom interface according to claim 1, its feature exist In：Collocating kriging algorithm includes as follows in the step C：A, according to the feature of information, information is classified, by connatural variable or aggregation of variable of different nature together Carry out spatial weighting calculating；B, when the sampling amount of a variable is not enough to obtain the estimator of the required accuracy.And other variables have more sufficient sampling During amount, the space correlation relation between the other variables of this scope of a variable is studied, by the sample message of other variables with collaboration gram Golden algorithm can improves the estimated accuracy to this variable；C, hydrate feature of coincideing is established using collaboration Gauss Kriging method, integrated use log data and geological data, Surge impedance model with space anisotropic.
- 4. a kind of Deterministic Methods of marine qualitative recognition hydrate top bottom interface according to claim 1, its feature exist In：Global optimizing Band-constrained inversion comprises the following steps in the step D：A, the basic data of inverting is inputted；Wherein, the basic data includes poststack data, modeling data, layer position Data, wavelet data；B, the basic data in step a, establishes object function, including real seismic record, composite traces, it is prior-constrained, Transverse gradients constrain；C, an optimal geophysical model is found so that the response of the model and the residual error of observation data are anticipated in least square Justice is issued to minimum, i.e., on the basis of the collocating kriging model of foundation, makes full use of high-frequency information, improve the precision of inverting And resolution ratio, using the fast inversion algorithm of global optimizing, iterated revision repeatedly is carried out to initial geological model, obtains high score The sound impedance of resolution/quasi-acoustic inversion model；D, final inversion result is corresponded to according to the final high-resolution sound impedance/quasi-acoustic inversion model obtained in step c.
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| CN109143326A (en) * | 2018-07-18 | 2019-01-04 | 西安恒泰艾普能源发展有限公司 | The method and apparatus for identifying coal seam top bottom interface |
| CN110579802A (en) * | 2019-10-09 | 2019-12-17 | 中国科学院海洋研究所 | high-precision inversion method for physical property parameters of natural gas hydrate reservoir |
| CN111487681A (en) * | 2020-06-03 | 2020-08-04 | 中国石油大学(华东) | Natural gas hydrate and underlying free gas reservoir seismic response characteristic analysis method |
| CN113093286A (en) * | 2021-03-15 | 2021-07-09 | 中国科学院海洋研究所 | Inversion method for reservoir heterogeneity of cold spring development area |
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| CN113093286B (en) * | 2021-03-15 | 2022-08-02 | 中国科学院海洋研究所 | Inversion method for reservoir heterogeneity of cold spring development area |
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