CN105527653B - A kind of virtual log construction method based on geological information - Google Patents
A kind of virtual log construction method based on geological information Download PDFInfo
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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
- G01V1/40—Seismology; Seismic or acoustic prospecting or detecting specially adapted for well-logging
- G01V1/44—Seismology; Seismic or acoustic prospecting or detecting specially adapted for well-logging using generators and receivers in the same well
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Abstract
The invention provides a kind of virtual log construction method based on geological information, for obtaining the natural gamma curve of virtual log in the target area with multiple real drilling wells, including：Obtain the Acoustic Impedance Data at the GR data and Acoustic Impedance Data and virtual log of multiple real drilling wells；The linear relationship y=k*x+b between Acoustic Impedance Data and GR data corresponding to each real drilling well is fitted, wherein, x is Acoustic Impedance Data, and y is GR data), so as to obtain the k value and b parameter values of each real drilling well position；The k value and b parameter values at virtual log are obtained by fitting algorithm；According to the k value and b parameter values and Acoustic Impedance Data at virtual log, the GR data at virtual log are obtained；With the natural gamma curve for obtaining virtual log.The virtual log construction method of the present invention improves the resolution capability of virtual log and portrays the ability of details, meanwhile, also there is higher precision, more conform to real geological condition.
Description
Technical field
The present invention relates to petroleum geophysics field of detecting, is built more particularly to a kind of virtual log based on geological information
Method.
Background technology
Drilling well (prospect pit) can directly obtain most reliable geologic information, but drilling cost is high, be surveyed in oil exploratory area
Prospect pit is not suitable for a large amount of probings in the case that spy degree is relatively low.Subsurface lithologic information generally by under the conditions of borehole restraint to earthquake
Data carry out what wave impedance inversion obtained, due to the earthquake number when drilling well rareness and skewness in some oil exploratory areas
According to well information constraint is lacked in refutation process, inversion result precision is relatively low, causes to be restricted the geological knowledge in oil exploratory area.
It is that necessary, traditional virtual log constructing technology is to be based on seismic inversion Wave Impedance Data Volume to establish virtual seismic inversion bound by well data
Obtained wave impedance information, there is resolution ratio relatively low to build virtual log using wave impedance information and ignore the deficiency of details, therefore pass
Larger error be present in the virtual log constructing technology of system.Therefore a kind of technology for building high-precision virtual log is sought to depositing basin
Ground is explored and raising inversion accuracy is all significant.
The content of the invention
The invention aims to provide a kind of recovery precision height, high resolution, the virtual log structure for meeting geologic rule
Method.
Especially, the invention provides a kind of virtual log construction method based on geological information, for multiple realities
The target area of drilling well obtains the natural gamma curve of the virtual log of pre-position in the target area, including：
To obtain the respective GR data of the multiple real drilling well and wave resistance along the first sampling density of depth direction
Acoustic Impedance Data at anti-data and the virtual log；
For each real drilling well, the line between the Acoustic Impedance Data and the GR data corresponding to it is fitted
Sexual intercourse y=k*x+b, wherein, x is Acoustic Impedance Data, and y is GR data, so as to obtain the k of each real drilling well opening position
Parameter value and b parameter values；
According to the k value and b parameter values of each real drilling well opening position, obtained by fitting algorithm at the virtual log
K value and b parameter values；
According to the k value and b parameter values and Acoustic Impedance Data at the virtual log, obtained based on the linear relationship
The first GR data at the virtual log；With
The first natural gamma curve of the virtual log is obtained based on the first GR data, described first is natural
Gamma curve is the natural gamma curve of the virtual log.
Alternatively, the fitting algorithm is interpolation algorithm；
Alternatively, the interpolation algorithm is Kriging regression algorithm.
Alternatively, in addition to：To obtain the pre- timing at the virtual log along the second sampling density of the depth direction
Between amount of radiation in length range；Wherein, second sampling density is more than first sampling density；
The GR data of each real drilling well are carried out with trending to operate and establish it between the amount of radiation
Scaling relation, then based on the amount of radiation at the virtual log and the scaling relation obtain corresponding to go the second of trending
GR data；With
The second nature gamma curve of the virtual log is obtained based on the second nature gamma data.
Alternatively, wherein, by first natural gamma curve and the second nature gamma curve it is superimposed with obtain
The natural gamma curve of the virtual log.
Alternatively, in addition to：According to the geological stratification structural information at the virtual log with along depth direction the 3rd sampling
Density obtains the variation tendency of the GR data of the virtual log, and obtain corresponding to the reflection variation tendency the 3rd from
Right gamma curve；Wherein, the 3rd sampling density is more than first sampling density but is less than the second sampling density.
Alternatively, wherein, by the use of the geological stratification structural information at the real drilling well nearest with the virtual log described in
Geological stratification structural information at virtual log.
Alternatively, the geological stratification structural information includes sequence dividing characteristic information, time Stratigraphic framework information and earthquake
Layer position information.
Alternatively, wherein, by first natural gamma curve and the Third Nature gamma curve it is superimposed with obtain
The natural gamma curve of the virtual log.
Alternatively, wherein, by first natural gamma curve, the second nature gamma curve and the Third Nature
Gamma curve is superimposed to obtain the natural gamma curve of the virtual log.
The virtual log construction method based on geological information of the present invention, by natural in first obtained by Acoustic Impedance Data
On the basis of gamma curve superposition by astrodisasters science control the second nature gamma curve and determined by geological model information the
Three natural gamma curves, so as to obtain the natural gamma curve of virtual log, this has taken into full account Gao Lian of the geological data in transverse direction
Continuous property, the high-resolution of real well data longitudinal direction be forthright and the binding character of geological model.The virtual log construction method of the present invention improves
The resolution capability of virtual log and the ability for portraying details, meanwhile, also there is higher precision, more conform to real geology feelings
Condition.
According to the accompanying drawings will be brighter to the detailed description of the specific embodiment of the invention, those skilled in the art
Above-mentioned and other purposes, the advantages and features of the present invention.
Brief description of the drawings
Some specific embodiments of the present invention are described in detail by way of example, and not by way of limitation with reference to the accompanying drawings hereinafter.
Identical reference denotes same or similar part or part in accompanying drawing.It should be appreciated by those skilled in the art that these
What accompanying drawing was not necessarily drawn to scale.In accompanying drawing：
Fig. 1 is the flow chart of the virtual log construction method according to an embodiment of the invention based on geological information；
Fig. 2 is the schematic diagram in the oil exploratory area of the embodiment of the present invention；
Fig. 3 is the amplitude section figure of excessively real the drilling well w2 and w4 of the embodiment of the present invention geological data；
Fig. 4 is the profile of excessively real the drilling well w2 and w4 of the embodiment of the present invention Acoustic Impedance Data；
Fig. 5 is the real drilling well w2 of embodiment of the present invention linear relationship chart of the Acoustic Impedance Data with GR data；
Fig. 6 is the real drilling well w4 of embodiment of the present invention linear relationship chart of the Acoustic Impedance Data with GR data；
Fig. 7 is the spectrum signature figure of the interval of interest GR data of the embodiment of the present invention；
Fig. 8 is the interval of interest theory amount of radiation curve map of the embodiment of the present invention；
Fig. 9 is the natural gamma curve figure of the embodiment of the present invention.
Embodiment
Fig. 1 is the flow chart of the virtual log construction method according to an embodiment of the invention based on geological information.One
As property include：
S1, with obtained along the first sampling density of depth direction the respective GR data of multiple existing real drilling wells and
Acoustic Impedance Data at Acoustic Impedance Data and virtual log；
Geological data is the amplitude data for reflecting formation wave impedance variations interfaces, can according to existing data record or
The geological data at multiple real drilling wells in Reconnaissance Survey acquisition target area and at virtual log is carried out to target area, to the ground
Shake data and carry out wave impedance inversion, Acoustic Impedance Data corresponding to them can be obtained.At the same time it can also be measured along real drilled well bore
The natural gamma ray intensity of rock stratum, so as to obtain the GR data of each real drilling well.
S2, for each real drilling well, fit corresponding to it between Acoustic Impedance Data and the GR data
Linear relationship y=k*x+b, wherein, x is Acoustic Impedance Data, and y is GR data, so as to obtain each real drilling well position
The k value and b parameter values at place；
Extract the sampling depth point a of the Acoustic Impedance Data of each real drilling well1、a2、a3、……、an, will be obtained by step 1
Each real drilling well GR data smoothing after obtain the smooth curve of each real drilling well, in the smooth curve of each real drilling well
On with sampling depth point a1、a2、a3、……、anGR data corresponding to acquisition, pass through sampling depth point a1、a2、
a3、……、anCorresponding multigroup GR data and Acoustic Impedance Data return out the Acoustic Impedance Data of each real drilling well with from
Linear relationship y=k*x+b (wherein, x is Acoustic Impedance Data, and y is GR data) between right gamma data, that is, obtain every
The k value and b parameter values of one real drilling well opening position.
S3, k value and b parameter values according to each real drilling well opening position, the virtual log is obtained by fitting algorithm
The k value and b parameter values at place；
The distribution of corresponding k value and the b parameter values in each real drilling well position is obtained by Kriging regression algorithm
Situation, its corresponding curve is fitted, the position of virtual log is extracted from the curve, so as to obtain the k value at virtual log
With b parameter values.
S4, according to the k value and b parameter values and Acoustic Impedance Data at the virtual log, based on the linear relationship
Obtain the first GR data at the virtual log；
K value at virtual log and b parameter values and Acoustic Impedance Data can be updated to linear relationship y=k*x+b
, will so as to obtain the GR data at virtual log in (wherein, x is Acoustic Impedance Data, and y is GR data)
The GR data setting is the first GR data.
S5, the first natural gamma curve based on the first GR data acquisition virtual log, described first
Natural gamma curve is the natural gamma curve of the virtual log.
The fitting of first GR data can be returned out by the first natural gamma curve by the method that data are fitted.The
One natural gamma curve is the low-frequency information determined based on the first sampling density by the Acoustic Impedance Data of virtual log.Need to illustrate
, the first GR data described in the present embodiment are the GR data at virtual log, the first natural gal
Maqu line is the natural gamma curve of virtual log.
In another embodiment of the present invention, in addition to：
To be obtained along the second sampling density of the depth direction in the scheduled time length range at the virtual log
Amount of radiation；Wherein, second sampling density is more than first sampling density；
Whether the precondition of the present embodiment is to determine the amount of radiation as caused by astrodisasters science to the nature of the target area
Gamma data has an impact.Its reason can be drawn according to the latitude and research purpose interval duration scope of the target area
By amount of radiation curve.
The GR data of each real drilling well are carried out with trending to operate and establish it between the amount of radiation
Scaling relation, then based on the amount of radiation at the virtual log and the scaling relation obtain corresponding to go the second of trending
GR data；With
The second nature gamma curve of the virtual log is obtained based on the second nature gamma data.
The fitting of the second nature gamma data can be returned out by the second nature gamma curve by the method that data are fitted.The
Two natural gamma curves are the high-frequency informations drawn based on the second sampling density by the change of astrodisasters science amount of radiation.
It is it should be noted that first natural gamma curve and the second nature gamma curve is superimposed with acquisition
The natural gamma curve of the virtual log.
In another embodiment of the present invention, in addition to：
According to the geological stratification structural information at the virtual log to obtain the void along the 3rd sampling density of depth direction
Intend the variation tendency of the GR data of well；
Geological stratification structural information reflect developed under the conditions of certain geology sedimentary rock distribution, develop and feature it is comprehensive
Close, therefore, lithologic character and Evolution have certain similitude in identical geology Rotating fields.So the present embodiment
Using the geological stratification structural information at the real drilling well closest with the virtual log as the geological stratification at the virtual log
Structural information.Specifically, the geological stratification structural information includes sequence dividing characteristic information, time Stratigraphic framework information and earthquake
Layer position information.
Its corresponding Third Nature gamma curve is obtained based on the variation tendency；Wherein, the 3rd sampling density is big
In first sampling density but it is less than the second sampling density.
Third Nature gamma curve is in being determined based on the 3rd sampling density by the geological stratification structural information of target area
Frequency information.
It is it should be noted that first natural gamma curve and the Third Nature gamma curve is superimposed with acquisition
The natural gamma curve of the virtual log.
In another embodiment of the present invention, by first natural gamma curve, the second nature gamma curve
It is superimposed to obtain the natural gamma curve of the virtual log with the Third Nature gamma curve.
The present embodiment combines the low-frequency information determined by Acoustic Impedance Data, the height drawn by the change of astrodisasters science amount of radiation
Frequency information and the intermediate frequency information determined by the geological stratification structural information of target area so that the stratigraphic well of foundation has higher essence
Degree, more meets real geological condition.
Previous embodiment will be illustrated by specific virtual log constructing plan below.
This programme is chosen positioned at the oil exploratory area of half deep lake environment as target area, and Fig. 2 shows of the invention real
Apply the schematic diagram in the oil exploratory area of example.With reference to figure 2, wherein 5 cause for gossip drilling wells, respectively w1, w2, w3, w4 and w5 be present.Its
In, in excessively real drilling well w2 and w4 hatching, there is a well sparse region, the purpose of this programme i.e. in the well sparse region and
Cross structure virtual log at the position x1 of real drilling well w2 and w4 hatching.It should be noted that the GR of the 5 cause for gossip drilling well
The geological data in data and oil exploratory area was, it is known that wherein, Fig. 3 showed that the amplitude of real drilling well w2 and w4 geological data cutd open
Face figure.
Wave impedance inversion is carried out to the geological data in the oil exploratory area, the ripple of the 5 cause for gossip drilling well and virtual log can be obtained
Impedance data, wherein, Fig. 4 showed the profile of real drilling well w2 and w4 Acoustic Impedance Data.At the same time it can also along this 5 mouthfuls
The natural gamma ray intensity of the well bore measurement rock stratum of real drilling well, so as to obtain the GR data of the 5 cause for gossip drilling well.
Fig. 5 and Fig. 6 is the real drilling well w2 and w4 of embodiment of the present invention Acoustic Impedance Data and GR data respectively
Linear relationship chart.Extract sampling depth point a1, a2 of the Acoustic Impedance Data of each real drilling well in the 5 cause for gossip drilling well, a3 ...,
An, the smooth curve of each real drilling well will be obtained after the GR data smoothing of each real drilling well, in the smooth of each real drilling well
On curve with sampling depth point a1, a2, a3 ..., an obtain corresponding to GR data, by sampling depth point a1, a2,
A3 ..., multigroup GR data and Acoustic Impedance Data corresponding to an return out the Acoustic Impedance Data of each real drilling well with
Linear relationship y=k*x+b (wherein, x is Acoustic Impedance Data, and y is GR data) between GR data, that is, obtain
The k value and b parameter values of each real drilling well opening position.
The distribution of corresponding k value and the b parameter values in each real drilling well position is obtained by Kriging regression algorithm
Situation, its corresponding curve is fitted, the position of virtual log is extracted from the curve, so as to obtain the k value at virtual log
With b parameter values.
According to the k value and b parameter values and Acoustic Impedance Data at the virtual log, obtained based on the linear relationship
The first GR data at the virtual log.
It is then possible to determine whether the amount of radiation as caused by astrodisasters science produces to the GR data of the target area
Influence.The Shi Hu exploratory areas that this programme is chosen are half body lake and deep gyittja, and its major developmental lithology has mud shale and siltstone.
And half Shen Hu and deep gyittja are influenceed substantially by astrodisasters science, so meeting the precondition of this programme.
Spectrum analysis statistics is carried out to the first natural gamma curve of the 5 cause for gossip drilling well and matched with astrodisasters science.Fig. 7 is
The spectrum signature figure of the interval of interest GR data of the embodiment of the present invention.As shown in fig. 7, obtaining frequency and being respectively
0.0085Hz, 0.0098Hz, 0.0174Hz, 0.0248Hz, 0.0475Hz main peak, according to formula cycle T=1/f, (f is frequency
Rate), the corresponding cycle that the 5 cause for gossip drilling well can be calculated be respectively 117.65kyr, 102.04kyr, 57.47kyr,
40.32kyr, 21.05kyr, its ratio corresponding relation respectively between maximum cycle 117.65kyr is respectively 1,0.867,
0.488th, 0.343,0.179, and the corresponding theoretical cycle is 125kyr, 96kyr, 54kyr, 40kyr, 23kyr, its respectively with most
Ratio corresponding relation difference 1,0.768,0.432,0.32,0.184 between broad theory cycle 125kyr.It can be found that the two
Proportionate relationship has preferable corresponding relation.
Fig. 8 is the interval of interest theory amount of radiation curve map of the embodiment of the present invention.As shown in figure 8, according to previous studies
Know, oil exploratory area target zone geological epoch continues about 3.36Ma, and the stratum duration that said frequencies calculate grinds with forefathers
Study carefully achievement to match, therefore the above-mentioned cycle is record of the astrodisasters science in deposit.Therefore it can learn that the interval of interest sinks
Product process is influenceed by astrodisasters science, to the i.e. available temporally layer screen work, while GR data master of corresponding frequencies filtering
To be controlled by astrodisasters science, GR data are related to amount of radiation change caused by astrodisasters science, i.e. this oil exploratory area is adapted to
Using this technology, theoretical amount of radiation curve is drawn according to the latitude in oil exploratory area and research purpose interval duration scope.
The GR data of each real drilling well are carried out with trending to operate and establish it between the amount of radiation
Scaling relation, then based on the amount of radiation at the virtual log and the scaling relation obtain corresponding to go the second of trending
GR data.The second nature gamma curve of the virtual log is obtained based on the second nature gamma data.It can lead to
The fitting of the second nature gamma data is returned out the second nature gamma curve by the method for crossing data fitting.The second nature gamma curve
It is the high-frequency information drawn based on the second sampling density by the change of astrodisasters science amount of radiation.
Explained further according to the sequence dividing feature, time Stratigraphic framework and seismic horizon of the real drilling well closest with virtual log
Data is inferred to the sequence evolution process of geology virtual log, and the change of virtual log well logging information is inferred according to the Characteristics of Evolution of sequence
Change tendency chart.Fig. 9 is the natural gamma curve figure of the embodiment of the present invention.As shown in figure 9, it is right to obtain its based on the variation tendency
The Third Nature gamma curve answered；Wherein, the 3rd sampling density is more than first sampling density but less than the second sampling
Density.Third Nature gamma curve is that the intermediate frequency determined based on the 3rd sampling density by the geological stratification structural information of target area is believed
Breath.
Finally the first natural gamma curve, the second nature gamma curve and Third Nature gamma curve are superimposed i.e.
The natural gamma curve at virtual log can be obtained.
So far, although those skilled in the art will appreciate that detailed herein have shown and described multiple showing for the present invention
Example property embodiment, still, still can be direct according to present disclosure without departing from the spirit and scope of the present invention
It is determined that or derive many other variations or modifications for meeting the principle of the invention.Therefore, the scope of the present invention is understood that and recognized
It is set to and covers other all these variations or modifications.
Claims (8)
- A kind of 1. virtual log construction method based on geological information, described in being obtained in the target area with multiple real drilling wells The natural gamma curve of the virtual log of pre-position in target area, including：To obtain the respective GR data of the multiple real drilling well and wave impedance number along the first sampling density of depth direction According to and the virtual log at Acoustic Impedance Data；For each real drilling well, the linear pass between the Acoustic Impedance Data and the GR data corresponding to it is fitted It is y=k*x+b, wherein, x is Acoustic Impedance Data, and y is GR data, so as to obtain the k of each real drilling well opening position Value and b parameter values；According to the k value and b parameter values of each real drilling well opening position, the k at the virtual log is obtained by fitting algorithm and is joined Numerical value and b parameter values；According to the k value and b parameter values and Acoustic Impedance Data at the virtual log, based on described in linear relationship acquisition The first GR data at virtual log；The first natural gamma curve of the virtual log is obtained based on the first GR data；To obtain the radiation in the scheduled time length range at the virtual log along the second sampling density of the depth direction Amount；Wherein, second sampling density is more than first sampling density；The multiple real respective GR data of drilling well are carried out trending operate and establish itself and the amount of radiation it Between scaling relation, then based on the amount of radiation at the virtual log and the scaling relation obtain corresponding to go the of trending Two GR data；WithThe second nature gamma curve of the virtual log is obtained based on the second nature gamma data, by the described first natural gal Maqu line and the second nature gamma curve are superimposed to obtain the natural gamma curve of the virtual log.
- 2. virtual log construction method according to claim 1, it is characterised in that the fitting algorithm is interpolation algorithm.
- 3. virtual log construction method according to claim 2, it is characterised in that the interpolation algorithm is calculated for Kriging regression Method.
- 4. virtual log construction method according to claim 1, it is characterised in that also include：According to the geological stratification structural information at the virtual log to obtain the virtual log along the 3rd sampling density of depth direction GR data variation tendency, and obtain Third Nature gamma curve corresponding to the reflection variation tendency；Wherein, institute The 3rd sampling density is stated more than first sampling density but is less than the second sampling density.
- 5. virtual log construction method according to claim 4, it is characterised in that wherein, with nearest with the virtual log Geological stratification structural information at the real drilling well is as the geological stratification structural information at the virtual log.
- 6. virtual log construction method according to claim 4, it is characterised in that the geological stratification structural information includes sequence Divide characteristic information, time Stratigraphic framework information and seismic horizon information.
- 7. the virtual log construction method according to any one of claim 4-6, it is characterised in that wherein, by described first Natural gamma curve and the Third Nature gamma curve are superimposed to obtain the natural gamma curve of the virtual log.
- 8. the virtual log construction method according to any one of claim 4-6, it is characterised in that wherein, by described first Natural gamma curve, the second nature gamma curve and the Third Nature gamma curve are superimposed to obtain the virtual log The natural gamma curve.
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| CN201810019787.4A CN108345047B (en) | 2015-12-01 | 2015-12-01 | Natural gamma curve reconstruction method for virtual well |
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| CN110346654B (en) * | 2019-07-19 | 2021-03-16 | 中国人民解放军国防科技大学 | Electromagnetic spectrum map construction method based on common kriging interpolation |
| CN112649867B (en) * | 2019-10-12 | 2024-04-09 | 中国石油化工股份有限公司 | Virtual well construction method and system |
| CN112748462A (en) * | 2019-10-31 | 2021-05-04 | 中国石油天然气股份有限公司 | Pre-stack data processing method and device based on virtual well |
| CN112255686B (en) * | 2020-10-14 | 2023-08-11 | 东北石油大学 | Fault edge speed modeling method based on regression algorithm |
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Also Published As
| Publication number | Publication date |
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| CN108333624A (en) | 2018-07-27 |
| CN108333624B (en) | 2020-05-15 |
| CN108345047A (en) | 2018-07-31 |
| CN108345047B (en) | 2020-07-03 |
| CN105527653A (en) | 2016-04-27 |
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