CN105527653A - Virtual well construction method based on geological information - Google Patents
Virtual well construction method based on geological information Download PDFInfo
- Publication number
- CN105527653A CN105527653A CN201510868288.9A CN201510868288A CN105527653A CN 105527653 A CN105527653 A CN 105527653A CN 201510868288 A CN201510868288 A CN 201510868288A CN 105527653 A CN105527653 A CN 105527653A
- Authority
- CN
- China
- Prior art keywords
- virtual log
- data
- gamma curve
- parameter value
- construction method
- 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
- 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
- G01V1/48—Processing data
- G01V1/50—Analysing data
Landscapes
- Physics & Mathematics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Engineering & Computer Science (AREA)
- Acoustics & Sound (AREA)
- Environmental & Geological Engineering (AREA)
- Geology (AREA)
- Remote Sensing (AREA)
- General Life Sciences & Earth Sciences (AREA)
- General Physics & Mathematics (AREA)
- Geophysics (AREA)
- Geophysics And Detection Of Objects (AREA)
Abstract
The invention provides a virtual well construction method based on geological information and can be applied for obtaining natural gamma curves of virtue wells from a target region having multiple real drilled wells. The method comprises following steps: natural gamma data and wave impedance data of multiple real drilled wells and wave impedance data of virtue wells are obtained; a linear relation between the wave impedance data and the natural gamma data corresponding to each real drilled well is fitted, y=k*x+b, (wherein x represents the wave impedance data, y represent the natural gamma data), and therefore, a parameter value k and a parameter value b corresponding to each real drilled well position are obtained; a parameter value k and a parameter value b of the virtue wells are obtained through a fitting algorithm; natural gamma data of the virtue wells is obtained on the basis of the parameter value k, the parameter value b and the wave impedance data of the virtue wells; natural gamma curves of the virtue wells can be obtained. By use of the virtual well construction method, the resolution capacity and detail describing ability of the virtue wells are improved; the constructed virtue wells have higher precision and are better in accordance with the real geological condition.
Description
Technical field
The present invention relates to petroleum geophysics field of detecting, particularly relate to a kind of virtual log construction method based on geological information.
Background technology
Drilling well (prospect pit) directly can obtain the most reliable geologic information, but drilling cost is high, and when oil exploratory area degree of prospecting is lower, prospect pit is not suitable for a large amount of probing.Subsurface lithologic information generally obtains by carrying out wave impedance inversion to geological data under borehole restraint condition, because drilling well is rare and lack well information constraint in seismic data inversion process in the situations such as skewness in some oil exploratory area, inversion result precision is lower, causes being restricted the geological knowledge in oil exploratory area.It is necessary for setting up virtual seismic inversion bound by well data, traditional virtual log constructing technology is the wave impedance information obtained based on seismic inversion Wave Impedance Data Volume, utilize wave impedance information to have the lower deficiency with ignoring details of resolution to build virtual log, therefore there is larger error in traditional virtual log constructing technology.Therefore a kind of technology building high-precision virtual log is sought to sedimentary basin exploration and to improve inversion accuracy all significant.
Summary of the invention
The object of the invention is to provide a kind of and recover that precision is high, resolution is high, meet the virtual log construction method of geologic rule.
Especially, the invention provides a kind of virtual log construction method based on geological information, for obtaining the natural gamma curve of the virtual log of pre-position in described target area in the target area with multiple real drilling well, comprising:
Described multiple real drilling well GR data separately and the Acoustic Impedance Data at Acoustic Impedance Data and described virtual log place is obtained with the first sampling density along depth direction;
For each real drilling well, simulate the linear relationship y=k*x+b between the described Acoustic Impedance Data of its correspondence and described GR data, wherein, x is Acoustic Impedance Data, y is GR data, thus obtains k parameter value and the b parameter value of each real drilling well position;
According to k parameter value and the b parameter value of each real drilling well position, obtained k parameter value and the b parameter value at described virtual log place by fitting algorithm;
According to the k parameter value at described virtual log place and b parameter value and Acoustic Impedance Data, obtain the first GR data at described virtual log place based on described linear relationship; With
Based on the first natural gamma curve of virtual log described in described first GR data acquisition, described first natural gamma curve is the described natural gamma curve of described virtual log.
Alternatively, described fitting algorithm is interpolation algorithm;
Alternatively, described interpolation algorithm is Kriging regression algorithm.
Alternatively, also comprise: to obtain the radiant quantity in the schedule time length range at described virtual log place along the second sampling density of described depth direction; Wherein, described second sampling density is greater than described first sampling density;
Go trending to operate to the GR data of described each real drilling well and set up the convergent-divergent relation between itself and described radiant quantity, then based on the radiant quantity at described virtual log place and the second nature gamma data removing trending of described convergent-divergent relation acquisition correspondence; With
The second nature gamma curve of described virtual log is obtained based on described the second nature gamma data.
Alternatively, wherein, by described first natural gamma curve and described the second nature gamma curve superimposed with the described natural gamma curve obtaining described virtual log.
Alternatively, also comprise: according to the geological stratification structural information at described virtual log place to obtain the variation tendency of the GR data of described virtual log along the 3rd sampling density of depth direction, and obtain Third Nature gamma curve corresponding to the described variation tendency of reflection; Wherein, described 3rd sampling density is greater than described first sampling density but is less than the second sampling density.
Alternatively, wherein, by the geological stratification structural information of described real drilling well place nearest with the described virtual log geological stratification structural information as described virtual log place.
Alternatively, described geological stratification structural information comprises sequence dividing characteristic information, time Stratigraphic framework information and seismic horizon information.
Alternatively, wherein, by described first natural gamma curve and described Third Nature gamma curve superimposed with the described natural gamma curve obtaining described virtual log.
Alternatively, wherein, by superimposed to described first natural gamma curve, described the second nature gamma curve and described Third Nature gamma curve with the described natural gamma curve obtaining described virtual log.
Virtual log construction method based on geological information of the present invention, by superposing the second nature gamma curve controlled by astrodisasters science and the Third Nature gamma curve determined by geologic model information on the basis of the first natural gamma curve obtained by Acoustic Impedance Data, thus obtaining the natural gamma curve of virtual log, this has taken into full account the binding character of geological data and geologic model forthright at the high-resolution of the high continuity of transverse direction, real well data longitudinal direction.Virtual log construction method of the present invention improves the resolution characteristic of virtual log and portrays the ability of details, meanwhile, also has higher precision, more meets real geological condition.
According to hereafter by reference to the accompanying drawings to the detailed description of the specific embodiment of the invention, those skilled in the art will understand above-mentioned and other objects, advantage and feature of the present invention more.
Accompanying drawing explanation
Hereinafter describe specific embodiments more of the present invention with reference to the accompanying drawings by way of example, and not by way of limitation in detail.Reference numeral identical in accompanying drawing denotes same or similar parts or part.It should be appreciated by those skilled in the art that these accompanying drawings may not be drawn in proportion.In accompanying drawing:
Fig. 1 is according to an embodiment of the invention based on the process flow diagram of the virtual log construction method of 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 the geological data of real drilling well w2 and w4 of mistake of the embodiment of the present invention;
Fig. 4 is the sectional view of the Acoustic Impedance Data of real drilling well w2 and w4 of mistake of the embodiment of the present invention;
Fig. 5 is the Acoustic Impedance Data of real drilling well w2 and the linear relationship chart of GR data of the embodiment of the present invention;
Fig. 6 is the Acoustic Impedance Data of real drilling well w4 and the linear relationship chart of GR data of the embodiment of the present invention;
Fig. 7 is the spectrum signature figure of the objective interval GR data of the embodiment of the present invention;
Fig. 8 is the theoretical radiant quantity curve map of objective interval 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 according to an embodiment of the invention based on the process flow diagram of the virtual log construction method of geological information.It comprises in general manner:
S1, obtain the respective GR data of multiple existing real drilling well and the Acoustic Impedance Data at Acoustic Impedance Data and virtual log place with the first sampling density along depth direction;
Geological data is the amplitude data at reflection formation wave impedance variation interface, the geological data that Reconnaissance Survey obtains multiple real drilling well place in target area and virtual log place can be carried out according to existing data record or to target area, wave impedance inversion is carried out to this geological data, the Acoustic Impedance Data of their correspondences can be obtained.Meanwhile, the natural gamma ray intensity of rock stratum can also be measured along real drilled well bore, thus obtain the GR data of each real drilling well.
S2, for each real drilling well, simulate the linear relationship y=k*x+b between the described Acoustic Impedance Data of its correspondence and described GR data, wherein, x is Acoustic Impedance Data, y is GR data, thus obtains k parameter value and the b parameter value of each real drilling well position;
Extract the sampling depth point a of the Acoustic Impedance Data of each real drilling well
1, a
2, a
3..., a
n, the smooth curve of each real drilling well will be obtained after the GR data smoothing of each real drilling well obtained by step 1, with sampling depth point a on the smooth curve of each real drilling well
1, a
2, a
3..., a
nobtain corresponding GR data, by sampling depth point a
1, a
2, a
3..., a
ncorresponding many groups GR data and Acoustic Impedance Data return out linear relationship y=k*x+b between the Acoustic Impedance Data of each real drilling well and GR data (wherein, x is Acoustic Impedance Data, y is GR data), namely obtain k parameter value and the b parameter value of each real drilling well position.
S3, according to the k parameter value of each real drilling well position and b parameter value, obtained k parameter value and the b parameter value at described virtual log place by fitting algorithm;
Obtained the distribution situation of each real drilling well position k parameter value corresponding with it and b parameter value by Kriging regression algorithm, simulate the curve of its correspondence, from this curve, extract the position of virtual log, thus obtain k parameter value and the b parameter value at virtual log place.
S4, according to the k parameter value at described virtual log place and b parameter value and Acoustic Impedance Data, obtain the first GR data at described virtual log place based on described linear relationship;
The k parameter value at virtual log place and b parameter value and Acoustic Impedance Data can be updated to linear relationship y=k*x+b (wherein, x is Acoustic Impedance Data, y is GR data) in, thus the GR data at virtual log place can be obtained, be the first GR data by this GR data setting.
S5, the first natural gamma curve based on virtual log described in described first GR data acquisition, described first natural gamma curve is the described natural gamma curve of described virtual log.
By the method for data fitting, the first GR data fitting can be returned out the first natural gamma curve.First natural gamma curve is the low-frequency information determined by the Acoustic Impedance Data of virtual log based on the first sampling density.It should be noted that, described in the present embodiment, the first GR data are the GR data at virtual log place, and described first natural gamma curve is the natural gamma curve of virtual log.
In another embodiment of the present invention, also comprise:
To obtain the radiant quantity in the schedule time length range at described virtual log place along the second sampling density of described depth direction; Wherein, described second sampling density is greater than described first sampling density;
The precondition of the present embodiment is whether the radiant quantity determining to be caused by astrodisasters science has an impact to the GR data of this target area.The time range that can continue according to the latitude of this target area and research purpose interval draws its theoretical radiant quantity curve.
Go trending to operate to the GR data of described each real drilling well and set up the convergent-divergent relation between itself and described radiant quantity, then based on the radiant quantity at described virtual log place and the second nature gamma data removing trending of described convergent-divergent relation acquisition correspondence; With
The second nature gamma curve of described virtual log is obtained based on described the second nature gamma data.
By the method for data fitting, the matching of the second nature gamma data can be returned out the second nature gamma curve.The second nature gamma curve is changed based on the second sampling density the high-frequency information drawn by astrodisasters science radiant quantity.
It should be noted that, by described first natural gamma curve and described the second nature gamma curve superimposed with the described natural gamma curve obtaining described virtual log.
In another embodiment of the present invention, also comprise:
According to the geological stratification structural information at described virtual log place to obtain the variation tendency of the GR data of described virtual log along the 3rd sampling density of depth direction;
Geological stratification structural information reflect grow under certain geologic condition sedimentogeneous rock distribution, develop and feature comprehensive, therefore, in identical geological stratification structure, rock signature and Evolution have certain similarity.So the present embodiment adopts the geological stratification structural information of geological stratification structural information as described virtual log place of described real drilling well place the most contiguous with described virtual log.Particularly, described geological stratification structural information comprises sequence dividing characteristic information, time Stratigraphic framework information and seismic horizon information.
The Third Nature gamma curve of its correspondence is obtained based on described variation tendency; Wherein, described 3rd sampling density is greater than described first sampling density but is less than the second sampling density.
Third Nature gamma curve is the intermediate frequency information determined by the geological stratification structural information of target area based on the 3rd sampling density.
It should be noted that, by described first natural gamma curve and described Third Nature gamma curve superimposed with the described natural gamma curve obtaining described virtual log.
In another embodiment of the present invention, by superimposed to described first natural gamma curve, described the second nature gamma curve and described Third Nature gamma curve with the described natural gamma curve obtaining described virtual log.
The present embodiment combine determined by Acoustic Impedance Data low-frequency information, change the high-frequency information drawn and the intermediate frequency information determined by the geological stratification structural information of target area by astrodisasters science radiant quantity, make the strat test set up have higher precision, more meet real geological condition.
By by concrete virtual log constructing plan, previous embodiment is described below.
This programme choose be positioned at half dark lake environment oil exploratory area as target area, Fig. 2 shows the schematic diagram in the oil exploratory area of the embodiment of the present invention.With reference to figure 2, wherein there are 5 cause for gossip drilling wells, be respectively w1, w2, w3, w4 and w5.Wherein, in the profile line crossing real drilling well w2 and w4, have a well sparse region, namely the object of this programme crosses x1 place, the position structure virtual log of the profile line of real drilling well w2 and w4 in this well sparse region.It should be noted that, the GR data of this 5 cause for gossip drilling well and the geological data in oil exploratory area all known, wherein, Fig. 3 showed the amplitude section figure of the geological data of real drilling well w2 and w4.
Carry out wave impedance inversion to the geological data in this oil exploratory area, can obtain the Acoustic Impedance Data of this 5 cause for gossip drilling well and virtual log, wherein, Fig. 4 showed the sectional view of the Acoustic Impedance Data of real drilling well w2 and w4.Meanwhile, the natural gamma ray intensity of rock stratum can also be measured along the well bore of this 5 cause for gossip drilling well, thus obtain the GR data of this 5 cause for gossip drilling well.
Fig. 5 and Fig. 6 is the Acoustic Impedance Data of real drilling well w2 and w4 and the linear relationship chart of GR data of the embodiment of the present invention respectively.Extract the sampling depth point a1 of the Acoustic Impedance Data of each real drilling well in this 5 cause for gossip drilling well, a2, a3, an, the smooth curve of each real drilling well will be obtained after the GR data smoothing of each real drilling well, with sampling depth point a1 on the smooth curve of each real drilling well, a2, a3, an obtains corresponding GR data, by sampling depth point a1, a2, a3, many groups GR data corresponding to an and Acoustic Impedance Data return out linear relationship y=k*x+b between the Acoustic Impedance Data of each real drilling well and GR data (wherein, x is Acoustic Impedance Data, y is GR data), namely k parameter value and the b parameter value of each real drilling well position is obtained.
Obtained the distribution situation of each real drilling well position k parameter value corresponding with it and b parameter value by Kriging regression algorithm, simulate the curve of its correspondence, from this curve, extract the position of virtual log, thus obtain k parameter value and the b parameter value at virtual log place.
According to the k parameter value at described virtual log place and b parameter value and Acoustic Impedance Data, obtain the first GR data at described virtual log place based on described linear relationship.
Then, can determine whether the radiant quantity caused by astrodisasters science has an impact to the GR data of this target area.The Shi Hu exploratory area that this programme is chosen is half body lake and dark gyittja, and its major developmental lithology has mud shale and siltstone.And half Shen Hu and dark gyittja affect obviously by astrodisasters science, so meet the precondition of this programme.
Spectrum analysis statistics is carried out to the first natural gamma curve of this 5 cause for gossip drilling well and mates with astrodisasters science.Fig. 7 is the spectrum signature figure of the objective interval GR data of the embodiment of the present invention.As shown in Figure 7, obtain frequency and be respectively 0.0085Hz, 0.0098Hz, 0.0174Hz, 0.0248Hz, the main peak of 0.0475Hz, according to formula cycle T=1/f (f is frequency), the corresponding cycle that can calculate this 5 cause for gossip drilling well is respectively 117.65kyr, 102.04kyr, 57.47kyr, 40.32kyr, 21.05kyr, its ratio corresponding relation respectively and between maximum cycle 117.65kyr is respectively 1, 0.867, 0.488, 0.343, 0.179, and the theoretical cycle of correspondence is 125kyr, 96kyr, 54kyr, 40kyr, 23kyr, its ratio corresponding relation respectively and between theoretical maximum cycle 125kyr respectively 1, 0.768, 0.432, 0.32, 0.184.Can find that the proportionate relationship of the two has good corresponding relation.
Fig. 8 is the theoretical radiant quantity curve map of objective interval of the embodiment of the present invention.As shown in Figure 8, learn according to forefathers' research, oil exploratory area zone of interest continues to be about 3.36Ma geochron, and the stratum duration that said frequencies calculates and former achievements match, and therefore the above-mentioned cycle is the record of astrodisasters science in sediment.Therefore can learn that this objective interval deposition process is subject to astrodisasters science impact, time Stratigraphic framework can be obtained to corresponding frequencies filtering, GR data mainly control by astrodisasters science simultaneously, the radiant quantity that GR data and astrodisasters science cause changes relevant, namely this oil exploratory area is applicable to this technology of application, draws theoretical radiant quantity curve according to the time range that latitude and the research purpose interval in oil exploratory area continue.
Go trending to operate to the GR data of described each real drilling well and set up the convergent-divergent relation between itself and described radiant quantity, then based on the radiant quantity at described virtual log place and the second nature gamma data removing trending of described convergent-divergent relation acquisition correspondence.The second nature gamma curve of described virtual log is obtained based on described the second nature gamma data.By the method for data fitting, the matching of the second nature gamma data can be returned out the second nature gamma curve.The second nature gamma curve is changed based on the second sampling density the high-frequency information drawn by astrodisasters science radiant quantity.
Infer the sequence evolution process of geology virtual log again according to the sequence dividing feature of the real drilling well the most contiguous with virtual log, time Stratigraphic framework and seismic horizon interpretation data, infer the changing trend diagram of virtual log well logging information according to the Characteristics of Evolution of sequence.Fig. 9 is the natural gamma curve figure of the embodiment of the present invention.As shown in Figure 9, the Third Nature gamma curve of its correspondence is obtained based on described variation tendency; Wherein, described 3rd sampling density is greater than described first sampling density but is less than the second sampling density.Third Nature gamma curve is the intermediate frequency information determined by the geological stratification structural information of target area based on the 3rd sampling density.
Finally the first natural gamma curve, the second nature gamma curve and Third Nature gamma curve are superimposed and can obtain the natural gamma curve at virtual log place.
So far, those skilled in the art will recognize that, although multiple exemplary embodiment of the present invention is illustrate and described herein detailed, but, without departing from the spirit and scope of the present invention, still can directly determine or derive other modification many or amendment of meeting the principle of the invention according to content disclosed by the invention.Therefore, scope of the present invention should be understood and regard as and cover all these other modification or amendments.
Claims (10)
1., based on a virtual log construction method for geological information, for obtaining the natural gamma curve of the virtual log of pre-position in described target area in the target area with multiple real drilling well, comprising:
Described multiple real drilling well GR data separately and the Acoustic Impedance Data at Acoustic Impedance Data and described virtual log place is obtained with the first sampling density along depth direction;
For each real drilling well, simulate the linear relationship y=k*x+b between the described Acoustic Impedance Data of its correspondence and described GR data, wherein, x is Acoustic Impedance Data, y is GR data, thus obtains k parameter value and the b parameter value of each real drilling well position;
According to k parameter value and the b parameter value of each real drilling well position, obtained k parameter value and the b parameter value at described virtual log place by fitting algorithm;
According to the k parameter value at described virtual log place and b parameter value and Acoustic Impedance Data, obtain the first GR data at described virtual log place based on described linear relationship; With
Based on the first natural gamma curve of virtual log described in described first GR data acquisition, described first natural gamma curve is the described natural gamma curve of described virtual log.
2. virtual log construction method according to claim 1, is characterized in that, described fitting algorithm is interpolation algorithm.
3. virtual log construction method according to claim 2, is characterized in that, described interpolation algorithm is Kriging regression algorithm.
4. the virtual log construction method according to any one of claim 1-3, is characterized in that, also comprise:
To obtain the radiant quantity in the schedule time length range at described virtual log place along the second sampling density of described depth direction; Wherein, described second sampling density is greater than described first sampling density;
Go trending to operate to the GR data of described each real drilling well and set up the convergent-divergent relation between itself and described radiant quantity, then based on the radiant quantity at described virtual log place and the second nature gamma data removing trending of described convergent-divergent relation acquisition correspondence; With
The second nature gamma curve of described virtual log is obtained based on described the second nature gamma data.
5. virtual log construction method according to claim 4, is characterized in that, wherein, by described first natural gamma curve and described the second nature gamma curve superimposed with the described natural gamma curve obtaining described virtual log.
6. the virtual log construction method according to any one of claim 1-5, is characterized in that, also comprise:
According to the geological stratification structural information at described virtual log place to obtain the variation tendency of the GR data of described virtual log along the 3rd sampling density of depth direction, and obtain Third Nature gamma curve corresponding to the described variation tendency of reflection; Wherein, described 3rd sampling density is greater than described first sampling density but is less than the second sampling density.
7. virtual log construction method according to claim 6, is characterized in that, wherein, by the geological stratification structural information of described real drilling well place nearest with the described virtual log geological stratification structural information as described virtual log place.
8. the virtual log construction method according to claim 6 or 7, is characterized in that, described geological stratification structural information comprises sequence dividing characteristic information, time Stratigraphic framework information and seismic horizon information.
9. the virtual log construction method according to any one of claim 1-8, is characterized in that, wherein, by described first natural gamma curve and described Third Nature gamma curve superimposed with the described natural gamma curve obtaining described virtual log.
10. the virtual log construction method according to any one of claim 1-9, it is characterized in that, wherein, by superimposed to described first natural gamma curve, described the second nature gamma curve and described Third Nature gamma curve with the described natural gamma curve obtaining described virtual log.
Priority Applications (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810019237.2A CN108333624B (en) | 2015-12-01 | 2015-12-01 | Virtual well construction method based on geophysical information |
| CN201810019787.4A CN108345047B (en) | 2015-12-01 | 2015-12-01 | Natural gamma curve reconstruction method for virtual well |
| CN201510868288.9A CN105527653B (en) | 2015-12-01 | 2015-12-01 | A kind of virtual log construction method based on geological information |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510868288.9A CN105527653B (en) | 2015-12-01 | 2015-12-01 | A kind of virtual log construction method based on geological information |
Related Child Applications (2)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810019237.2A Division CN108333624B (en) | 2015-12-01 | 2015-12-01 | Virtual well construction method based on geophysical information |
| CN201810019787.4A Division CN108345047B (en) | 2015-12-01 | 2015-12-01 | Natural gamma curve reconstruction method for virtual well |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN105527653A true CN105527653A (en) | 2016-04-27 |
| CN105527653B CN105527653B (en) | 2018-01-12 |
Family
ID=55769988
Family Applications (3)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510868288.9A Active CN105527653B (en) | 2015-12-01 | 2015-12-01 | A kind of virtual log construction method based on geological information |
| CN201810019237.2A Active CN108333624B (en) | 2015-12-01 | 2015-12-01 | Virtual well construction method based on geophysical information |
| CN201810019787.4A Active CN108345047B (en) | 2015-12-01 | 2015-12-01 | Natural gamma curve reconstruction method for virtual well |
Family Applications After (2)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810019237.2A Active CN108333624B (en) | 2015-12-01 | 2015-12-01 | Virtual well construction method based on geophysical information |
| CN201810019787.4A Active CN108345047B (en) | 2015-12-01 | 2015-12-01 | Natural gamma curve reconstruction method for virtual well |
Country Status (1)
| Country | Link |
|---|---|
| CN (3) | CN105527653B (en) |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106971035A (en) * | 2017-03-23 | 2017-07-21 | 中铁第勘察设计院集团有限公司 | The method of quick identification geological information in bridge foundation design |
| CN106979002A (en) * | 2017-04-18 | 2017-07-25 | 中国石油天然气股份有限公司 | Branch horizontal well predicts the determination method and apparatus of section |
| CN110259430A (en) * | 2019-06-27 | 2019-09-20 | 北京中油瑞飞信息技术有限责任公司 | A kind of method and device for disposing well location |
| CN110873901A (en) * | 2018-08-29 | 2020-03-10 | 中国石油化工股份有限公司 | Pseudo well curve frequency increasing method and system |
| CN112255686A (en) * | 2020-10-14 | 2021-01-22 | 东北石油大学 | Fault edge speed modeling method based on regression algorithm |
| CN112505760A (en) * | 2020-10-15 | 2021-03-16 | 中国石油天然气股份有限公司 | Dissolved-fluid reservoir depicting method based on virtual well |
| CN112649867A (en) * | 2019-10-12 | 2021-04-13 | 中国石油化工股份有限公司 | Virtual well construction method and system |
Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109343120B (en) * | 2018-10-17 | 2019-10-01 | 吉林大学 | Incorporate the sound wave curve reconstructing method of constrained sparse spike inversion inverting low-frequency compensation |
| 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 |
| 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 |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4610309A (en) * | 1984-11-30 | 1986-09-09 | Phillips Petroleum Company | Downhole tool |
| CN102841378A (en) * | 2011-06-23 | 2012-12-26 | 中国石油天然气股份有限公司 | Method for predicting reservoir stratum by seismic inversion data |
| CN103529473A (en) * | 2013-09-27 | 2014-01-22 | 长江大学 | Compensation method for differential compaction in seismic inversion process |
| CN104375183A (en) * | 2014-11-20 | 2015-02-25 | 中国石油天然气股份有限公司 | Method and device for obtaining fault plane blocking performance |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101634717A (en) * | 2009-08-26 | 2010-01-27 | 中国石油大学(华东) | Fine shear-wave (S-wave) impedance access technology based on logging and prestack channel set seismic data |
| CN105089652A (en) * | 2014-05-20 | 2015-11-25 | 中国石油化工股份有限公司 | Pseudo-acoustic curve rebuilding and sparse pulse joint inversion method |
-
2015
- 2015-12-01 CN CN201510868288.9A patent/CN105527653B/en active Active
- 2015-12-01 CN CN201810019237.2A patent/CN108333624B/en active Active
- 2015-12-01 CN CN201810019787.4A patent/CN108345047B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4610309A (en) * | 1984-11-30 | 1986-09-09 | Phillips Petroleum Company | Downhole tool |
| CN102841378A (en) * | 2011-06-23 | 2012-12-26 | 中国石油天然气股份有限公司 | Method for predicting reservoir stratum by seismic inversion data |
| CN103529473A (en) * | 2013-09-27 | 2014-01-22 | 长江大学 | Compensation method for differential compaction in seismic inversion process |
| CN104375183A (en) * | 2014-11-20 | 2015-02-25 | 中国石油天然气股份有限公司 | Method and device for obtaining fault plane blocking performance |
Non-Patent Citations (4)
| Title |
|---|
| 严建文 等: "基于遗传算法的叠前地震波形反演构建虚拟井曲线", 《石油地球物理勘探》 * |
| 刘超 等: "利用虚拟井提高相控随机建模中地质约束的原理和方法", 《天然气地球科学》 * |
| 李忠荣 等: "虚拟井测井曲线的预测技术", 《石油大学学报（自然科学版）》 * |
| 黄海平 等: ""虚拟井"技术在复杂气藏建模中的应用", 《地质勘探》 * |
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106971035A (en) * | 2017-03-23 | 2017-07-21 | 中铁第勘察设计院集团有限公司 | The method of quick identification geological information in bridge foundation design |
| CN106971035B (en) * | 2017-03-23 | 2020-05-22 | 中铁第一勘察设计院集团有限公司 | Method for quickly identifying geological information in bridge foundation design |
| CN106979002A (en) * | 2017-04-18 | 2017-07-25 | 中国石油天然气股份有限公司 | Branch horizontal well predicts the determination method and apparatus of section |
| CN110873901A (en) * | 2018-08-29 | 2020-03-10 | 中国石油化工股份有限公司 | Pseudo well curve frequency increasing method and system |
| CN110259430A (en) * | 2019-06-27 | 2019-09-20 | 北京中油瑞飞信息技术有限责任公司 | A kind of method and device for disposing well location |
| CN112649867A (en) * | 2019-10-12 | 2021-04-13 | 中国石油化工股份有限公司 | Virtual well construction method and system |
| 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 |
| CN112255686A (en) * | 2020-10-14 | 2021-01-22 | 东北石油大学 | Fault edge speed modeling method based on regression algorithm |
| CN112255686B (en) * | 2020-10-14 | 2023-08-11 | 东北石油大学 | Fault edge speed modeling method based on regression algorithm |
| CN112505760A (en) * | 2020-10-15 | 2021-03-16 | 中国石油天然气股份有限公司 | Dissolved-fluid reservoir depicting method based on virtual well |
| CN112505760B (en) * | 2020-10-15 | 2024-05-28 | 中国石油天然气股份有限公司 | Method for describing broken solution reservoir based on virtual well |
Also Published As
| Publication number | Publication date |
|---|---|
| CN108333624B (en) | 2020-05-15 |
| CN108345047A (en) | 2018-07-31 |
| CN105527653B (en) | 2018-01-12 |
| CN108333624A (en) | 2018-07-27 |
| CN108345047B (en) | 2020-07-03 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105527653A (en) | Virtual well construction method based on geological information | |
| CN108802812B (en) | Well-seismic fusion stratum lithology inversion method | |
| CN104047597B (en) | Oily mud shale stratum log standardized method | |
| CN103527184B (en) | A kind of Forecasting Methodology of dolostone reservoirs and system | |
| CN101158724B (en) | Reservoir thickness prediction method based on dipolar wavelet | |
| CN104516018B (en) | Porosity inversion method under lithological constraint in geophysical exploration | |
| CN105044770A (en) | Compact glutenite gas reservoir quantificational prediction method | |
| CN108680951A (en) | A method of judging that Enriching Coalbed Methane depositional control acts on based on earthquake information | |
| CN104502969A (en) | Channel sandstone reservoir identification method | |
| EA020635B1 (en) | Method for seismic survey for hydrocarbons using average velocity of wave velocity field construction | |
| WO2017035104A1 (en) | Velocity model seismic static correction | |
| CN109541685B (en) | River channel sand body identification method | |
| Yu et al. | Reservoir characterization and modeling: a look back to see the way forward | |
| Bashore et al. | Importance of a geological framework and seismic data integration for reservoir modeling and subsequent fluid-flow predictions | |
| CN105629308A (en) | Phase control heterogeneous mechanical parameter crustal stress prediction method | |
| CN104502966A (en) | Thin reservoir prediction method and thin reservoir prediction system | |
| CN113050157A (en) | Carbonate rock seismic reservoir inversion method and system based on outcrop data | |
| CN106285642A (en) | A kind of formation pore pressure Forecasting Methodology based on seismic data | |
| Imran et al. | Integrated well data and 3D seismic inversion study for reservoir delineation and description | |
| CN112505754B (en) | Method for collaborative partitioning sedimentary microfacies by well-seismic based on high-precision sequence grid model | |
| Changzi et al. | Seismic prediction of sweet spots in the Da'anzhai shale play, Yuanba area, the Sichuan Basin | |
| Gharechelou et al. | A seismic-driven 3D model of rock mechanical facies: An example from the Asmari reservoir, SW Iran | |
| CN104898164B (en) | A kind of thin tight reservoir earthquake prediction method based on the micro- change analysis of seismic phase | |
| Zhao et al. | Re-Exploration Programs for Petroleum-Rich Sags in Rift Basins | |
| Jafari et al. | Estimation of acoustic-impedance model by using model-based seismic inversion on the Ghar Member of Asmari Formation in an oil field in southwestern Iran |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |