CN201747364U - Interval transit time curve reconstruction equipment - Google Patents
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Abstract
The utility model discloses interval transit time curve reconstruction equipment, which comprises a data obtaining device, a functional relation storing device, a curve reconstruction processor and a reconstruction data output device, wherein the curve reconstruction processor is respectively connected with the data obtaining device, the functional relation storing device and the reconstruction data output device. The interval transit time curve reconstruction equipment of the embodiment of the utility model can be used for accurately and fast reconstructing the interval transit time curve, the problem of incapability of quantitatively working out storing layer porosity because of the lack of the interval transit time curve can be solved, the quantitative calculation of physical parameters of oil-gas storing layers can be realized, the requirements of appraisal and interpretation of well logging data can be met, and the utility model has better application effect.
Description
Technical Field
The utility model relates to an oil logging technical field especially relates to a sound wave time difference curve reconstruction equipment.
Background
In the technical field of oil exploration and well logging, along with the development of well logging technology and well logging instruments, the processing and interpretation of well logging information can reflect the condition of an underground reservoir more truly, but in some old wells needing to be re-interpreted, the well logging series are older, well logging curves are seriously lacked, even some wells only have well diameters and potential or gradient curves, which brings great difficulty to the well logging digital processing and interpretation work, and therefore, the development of data mining and well logging curve reconstruction research is very necessary.
The well logging curve reconstruction is a method for obtaining a well logging curve by utilizing the relation between the existing well logging curve and a curve to be constructed in a well logging project. In wells lacking logging items, the method of virtual well prediction technology, curve fitting and the like can be used for obtaining an unmeasured logging curve for calculating reservoir parameters.
The acoustic moveout is a main and common method for researching section lithology and calculating reservoir porosity, and the acoustic moveout curve can be used for synthesizing seismic sections and carrying out stratum comparison and analysis, thereby having important research significance. Therefore, for some wells with missing well logs, the acoustic time difference curve reconstructed by using the existing well logs has important significance in interpretation and evaluation of well log data.
SUMMERY OF THE UTILITY MODEL
An object of the utility model is to provide a sound wave time difference curve reconsitution equipment, include: the system comprises a data acquisition device, a functional relation storage device, a curve reconstruction processing device and a reconstruction data output device; the curve reconstruction processing device is respectively connected with the data acquisition device, the functional relation storage device and the reconstructed data output device; wherein, the data acquisition device includes: the device comprises a resistivity data acquisition device for acquiring formation resistivity curve data and a logging depth data acquisition device for acquiring logging depth curve data; the functional relation storage device is used for storing an acoustic wave time difference curve calculation formula; the curve reconstruction processing device comprises: the coefficient generating device is used for generating the coefficient of the acoustic time difference curve calculation formula according to the acoustic time difference curve calculation formula, the formation resistivity curve data, the logging depth curve data and the least square method, and the reconstruction result generating device is used for generating curve reconstruction result data according to the acoustic time difference curve calculation formula, the formation resistivity curve data and the logging depth curve data; and the reconstruction data output device is used for outputting the curve reconstruction result data. The reconstruction data output device comprises a reconstruction curve display device for displaying a set of reconstructed acoustic time difference DT values.
Utilize the utility model discloses sound wave time difference curve reconsitution equipment can reconstruct sound wave time difference well logging curve comparatively accurately, rapidly, has solved because lack the sound wave time difference curve and can't the problem of quantitative acquisition reservoir porosity, has realized the quantitative calculation of oil and gas reservoir physical property parameter, can in time serve or satisfy the needs that the evaluation was explained to the logging data, has better application effect.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the principles of the invention. In the drawings:
fig. 1 is a schematic structural diagram of an acoustic time difference curve reconstruction device according to an embodiment of the present invention;
fig. 2 is another schematic structural diagram of the acoustic time difference curve reconstructing apparatus according to the embodiment of the present invention;
fig. 3 is a flowchart of a method for generating a sound wave time difference curve by using the sound wave time difference curve reconstructing device according to the embodiment of the present invention;
fig. 4 is a schematic structural diagram of a first embodiment of reconstructing a sound wave time difference curve by using the sound wave time difference curve reconstructing apparatus shown in fig. 1 according to the present invention;
fig. 5 is a schematic structural diagram of a second embodiment of the present invention, which reconstructs a sound wave time difference curve by using the sound wave time difference curve reconstruction apparatus shown in fig. 2;
fig. 6 is a comparison graph of the reconstructed sound wave time difference curve and the actually measured sound wave time difference curve of the third embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, embodiments of the present invention are described in detail with reference to the accompanying drawings. The exemplary embodiments and descriptions of the present invention are provided to explain the present invention, but not to limit the present invention.
Fig. 1 is the utility model discloses sound wave time difference curve reconstruction equipment's structure schematic diagram. As shown in the figure, the acoustic wave time difference curve reconstruction apparatus includes a data acquisition device 101, a functional relationship storage device 102, a curve reconstruction processing device 103, and a reconstructed data output device 104. Wherein,
the data acquisition device 101 is used for acquiring formation resistivity curve data and logging depth curve data.
When reconstructing the acoustic time difference curve, the following principle must be followed: firstly, aiming at the geological characteristics of a reservoir in a local area, multidisciplinary synthesis is carried out, the relation between well logging information such as lithology, electrical property and radioactivity and acoustic properties is fully utilized, the reconstruction of a reservoir characteristic curve is carried out, and the reconstructed characteristic curve can reflect the characteristics of the reservoir; and secondly, the obtained data volume is ensured to have higher resolution in the longitudinal direction, and the accuracy of reservoir prediction is improved. And (3) knowing the geological background data of the region where the reconstructed acoustic time difference curve is located in detail, analyzing all the logging curve characteristics of the well in detail, determining that the reconstructed curve is the acoustic time difference curve, and analyzing whether the formation resistivity curve and the logging depth curve well reflect the reservoir characteristic information. The reconstruction of the reservoir characteristic curve is to synthesize relevant information beneficial to reservoir prediction according to a reservoir prediction target to obtain a characteristic curve capable of highlighting the reservoir resolution, namely, a reconstruction method is optimized according to regional geological background, logging response characteristics and indication degree of stratum lithology change rules. In this embodiment, the formation resistivity curve and the logging depth curve can well reflect the reservoir characteristic information, and therefore, the formation resistivity curve and the logging depth curve are used as the characteristic curves for reconstructing the acoustic moveout curves.
In this embodiment, the data acquisition device 101 may be connected to an external logging curve database to acquire a formation resistivity curve, a logging depth curve, and data corresponding thereto. The external logging curve database is an actual curve obtained through various logging tests, and comprises the following steps: a formation resistivity curve, a logging depth curve, a potential resistivity curve, a gradient resistivity curve, a natural gamma curve, a caliper curve, a natural potential curve, and a lateral resistivity curve. The utility model discloses the method of obtaining formation resistivity curve data and logging depth curve data is not limited to this, can also take manual input's mode, leads into the sound wave time difference curve reconstruction equipment with the mode of each data through the data sheet to carry out follow-up calculation.
And the functional relation storage device 102 is used for storing the acoustic wave time difference curve calculation formula.
The sound wave time difference curve calculation formula function relationship is as follows:
wherein DT is acoustic time difference curve data, Dep is logging depth curve data acquired by the data acquisition device 101, Rt is formation resistivity curve data, and x is1、x2To a set fitting index, C0、C1Is the undetermined coefficient. The function relation is the deformation of a Faust formula, the Faust formula represents the statistical relation between a formation resistivity curve and an acoustic wave curve, and the effect of reconstructing the acoustic wave time difference curve by using the Faust formula is better when the formation resistivity curve and the acoustic wave curve have good statistical relation.
And the curve reconstruction processing device 103 is configured to reconstruct and generate an acoustic wave time difference curve by using a least square fitting method according to the acoustic wave time difference curve calculation formula in the functional relationship storage device 102.
In this embodiment, the curve reconstruction processing device 103 generates acoustic time difference curve reconstruction result data according to the acoustic curve calculation formula, the formation resistivity curve data, and the logging depth curve data. First, a fitting index x is set1、x2Then obtaining formation resistivity curve data and logging depth curve data according to the obtained formation resistivity curve data and logging depth curve data in a formula
Fitting by using least square fitting method to generate undetermined coefficient C0、C1And finally, substituting the obtained formation resistivity curve and the logging depth curve into the generated functional relation which determines the undetermined coefficient and the fitting index, thereby generating the acoustic time difference curve. However, the utility model discloses be not limited to this, curve reconfiguration processing apparatus 103 also can adopt the method that the planning was solved, utilizes the planning in excel to solve the function, and direct leading-in multiunit data reachs undetermined coefficient C0、C1The value of (c).
Fitting index x1、x2The value of (A) is statistically derived from a large number of data, in this example, x is calculated1Set at-0.1666, x2And the acoustic wave time difference curve obtained by reconstruction can better reflect the characteristics of the stratum and has better consistency with the logging acoustic wave time difference value of the stratum under the condition of being set to-0.1667.
And a reconstructed data output device 104, configured to output and display the generated acoustic wave time difference curve as a result of acoustic wave time difference curve reconstruction. The reconstructed data output means 104 includes a reconstructed curve display means for displaying a reconstructed curve of the reconstructed set of acoustic time difference DT values.
Fig. 2 is another schematic structural diagram of the acoustic time difference curve reconstructing apparatus according to the embodiment of the present invention. In the embodiment shown in fig. 1, the data acquiring device includes a logging depth data acquiring device 1011 and a resistivity data acquiring device 1012, wherein the logging depth data acquiring device 1011 is used for acquiring logging depth curve data, and the resistivity data acquiring device 1012 is used for acquiring formation resistivity curve data.
The curve reconstruction processing device 103 comprises a coefficient generating device 1031 and a reconstruction result generating device 1032, wherein the coefficient generating device 1031 is used for generating the coefficients of the acoustic wave curve calculation formula according to the acoustic wave time difference curve calculation formula, the formation resistivity curve data, the logging depth curve data and the least square method; and the reconstruction result generating device 1032 is used for generating curve reconstruction result data according to the acoustic curve calculation formula, the formation resistivity curve data and the logging depth curve data.
In this embodiment, a least square fitting method is adopted to generate the undetermined coefficient, or a planning solution method may be adopted, that is, the acquired formation resistivity curve data and the logging depth data are imported into an excel planning solution module, and direct fitting is performed to obtain the undetermined coefficient C0、C1The value of (c).
Fig. 3 is a flow chart of a method for generating a sound wave time difference curve by using the sound wave time difference curve reconstruction device of the embodiment of the present invention. As shown in the figure:
and S101, acquiring formation resistivity curve data and logging depth curve data.
Firstly, the geological background information of the area where the acoustic time difference curve to be reconstructed is located is known in detail, all logging curve characteristics of the well are analyzed in detail, the reconstructed curve is definitely the acoustic time difference curve, and whether the formation resistivity curve and the logging depth curve well reflect reservoir characteristic information is analyzed. The reconstruction of the reservoir characteristic curve is to synthesize relevant information beneficial to reservoir prediction according to a reservoir prediction target to obtain a characteristic curve capable of highlighting the reservoir resolution, namely, a reconstruction method is optimized according to regional geological background, logging response characteristics and indication degree of stratum lithology change rules. In this embodiment, the formation resistivity curve and the logging depth curve can well reflect the reservoir characteristic information, and therefore, the formation resistivity curve and the logging depth curve are used as the characteristic curve for reconstructing the acoustic moveout curve.
In this embodiment, formation resistivity curve data and logging depth curve data may be obtained by connecting to an external logging curve database. The logging data in the external logging curve database comprises: a formation resistivity curve, a logging depth curve, a potential resistivity curve, a gradient resistivity curve, a natural gamma curve, a caliper curve, a natural potential curve, and a lateral resistivity curve.
And S102, establishing a functional relation between the acoustic time difference curve and the formation resistivity curve data and the logging depth curve data, namely establishing an acoustic time difference curve calculation formula. The function relation is as follows:
And S103, generating an acoustic wave time difference curve by adopting a least square fitting method according to the function relation, and outputting the generated acoustic wave time difference curve as an acoustic wave time difference result. First, a fitting index x is set1、x2Using least square fitting method to calculate the undetermined coefficient C0、C1Substituting the obtained formation resistivity curve data and the logging depth curve data to obtain reconstructed acoustic time difference curve data, outputting a curve formed by the data as an acoustic time difference curve, or calculating to obtain a undetermined coefficient C0、C1After the value is obtained, the formation resistivity curve and the logging depth curve are brought into a complete acoustic time difference curve calculation formula to directly obtainAnd (5) reconstructing the acoustic time difference curve.
The first embodiment is as follows:
fig. 4 is a schematic structural diagram of a first embodiment of the present invention, which reconstructs a sound wave time difference curve by using the sound wave time difference curve reconstruction apparatus shown in fig. 1. As shown in the figure, 10 is the acoustic wave time difference curve reconstruction apparatus shown in fig. 1, which includes a data acquisition device 101, a functional relationship storage device 102, a curve reconstruction processing device 103, and a reconstructed data output device 104. The data acquisition device 101 acquires formation resistivity curve data and logging depth curve data from the external curve data repository 20, the curve reconstruction processing device 103 obtains reconstructed acoustic wave time difference curve data by a least square fitting method or a planning and solving method according to the formation resistivity curve data and the logging depth curve data acquired by the functional relationship storage device 102 and the data acquisition device, and a reconstructed curve composed of a group of acoustic wave time difference curve data is mapped to the external display device 30 through the reconstructed data output device 104 for display.
Example two:
fig. 5 is a schematic structural diagram of a second embodiment of the present invention, which reconstructs the sound wave time difference curve by using the sound wave time difference curve reconstruction device shown in fig. 2. As shown in the figure, 10' is the acoustic time difference curve reconstruction apparatus shown in fig. 2, which includes a logging depth data acquisition device 1011, a resistivity data acquisition device 1012, a functional relationship storage device 102, a coefficient generation device 1031, a reconstruction result generation device 1032, and a reconstruction data output device 105. In this embodiment, the reconstruction data output device is a reconstruction curve display device for displaying a reconstruction curve formed by a set of acoustic wave time difference curve data. In the manual input mode, the person 20' manually inputs the formation resistivity data and the logging depth data to the logging depth data acquiring device 1011 and the resistivity data acquiring device 1012 of the acoustic time difference curve reconstruction device. The manually inputted data may be directly imported in the form of a data table, and the coefficient generating means 1031 may store the acoustic wave in the means 102 according to the functional relationshipDifference curve calculation formulaAnd input data, directly solving undetermined coefficient C by using a planning solving mode0、C1Then, the reconstruction result generating device can substitute the formation resistivity curve data and the logging depth curve data into a complete acoustic time difference curve calculation formula to obtain a group of reconstructed acoustic time difference curve data and transmit the data to the reconstruction curve display device 105 for curve display, so as to facilitate later data analysis.
Example three:
in this embodiment, a well with acoustic time difference curve data measured in a certain oil field is selected to perform comparative analysis and effect test with a reconstructed acoustic time difference curve, and the specific implementation method is performed according to the following steps. As shown in table 1, table 1 is the utility model provides a third stratum resistivity curve data, logging depth curve data, sound wave time difference curve actual measurement data and reconsitution back sound wave time difference curve data's reference table.
TABLE 1
| (us/m) | (us/m) | ||||
| 5260.0 | 231.7 | 3.76 | 223.2 | -3.8 | |
| 5260.2 | 225.2 | 5.77 | 216.1 | -4.2 | |
| 5260.4 | 214.4 | 7.52 | 211.9 | -1.2 | |
| 5260.6 | 206.5 | 9.52 | 208.3 | 0.9 | |
| 5260.8 | 202.5 | 10.09 | 207.4 | 2.4 | |
| 5261.0 | 200.4 | 9.80 | 207.9 | 3.6 | |
| 5261.2 | 199.4 | 10.09 | 207.4 | 3.9 | |
| 5261.4 | 198.6 | 9.80 | 207.9 | 4.5 | |
| 5261.6 | 199.3 | 10.55 | 206.8 | 3.6 | |
| 5261.8 | 201.9 | 9.10 | 209.0 | 3.4 | |
| 5262.0 | 208.7 | 6.03 | 215.3 | 3.1 | |
| 5262.2 | 215.8 | 4.83 | 219.0 | 1.4 | |
| 5262.4 | 221.7 | 4.11 | 221.7 | 0.0 | |
| 5262.6 | 224.6 | 4.42 | 220.5 | -1.9 | |
| 5262.8 | 228 | 3.76 | 223.2 | -2.1 | |
| 5263.0 | 230.1 | 3.60 | 224.0 | -2.7 | |
| 5263.2 | 229.7 | 3.34 | 225.3 | -2.0 | |
| 5263.4 | 226.2 | 3.55 | 224.2 | -0.9 | |
| 5263.6 | 223.3 | 4.49 | 220.2 | -1.4 | |
| 5263.8 | 221.9 | 3.87 | 222.7 | 0.4 | |
| 5264.0 | 221.5 | 4.69 | 219.5 | -0.9 | |
| 5264.2 | 220.7 | 5.20 | 217.7 | -1.4 | |
| 5264.4 | 221.5 | 5.60 | 216.5 | -2.3 | |
| 5264.6 | 223 | 5.13 | 218.0 | -2.3 | |
| 5264.8 | 223.2 | 4.83 | 219.0 | -1.9 | |
| 5265.0 | 219.3 | 5.60 | 216.5 | -1.3 | |
| 5265.2 | 212.1 | 7.19 | 212.5 | 0.2 |
The specific steps of reconstructing the acoustic transit time curve of the embodiment are as follows:
1) and (3) understanding geological background data of the region where the reconstructed acoustic time difference curve is located, analyzing characteristics of a formation resistivity curve Rt, determining that the reconstructed curve is the acoustic time difference curve, and analyzing whether the formation resistivity curve Rt and the acoustic time difference curve well reflect reservoir characteristic information. If yes, acquiring a formation resistivity curve Rt and formation resistivity curve data corresponding to the formation resistivity curve Rt, a logging depth curve Dep and logging depth curve data corresponding to the logging depth curve Dep, which are stored in an external curve data storage library, by a data acquisition device. In this embodiment, the obtained depth section of the logging curve is 5260m to 5295m, the sampling interval is 0.2m, and the formation resistivity curve data is the formation resistivity data of 175 corresponding depth sections. The specific data values are shown in the first and third columns of table 1. The second line data is the sound wave time difference curve data of actual measurement to in with utilize the utility model discloses sound wave time difference curve data after carrying out the reconsitution contrast.
2) The acoustic wave time difference curve stored in the functional relationship storage means 102 is calculated by the formula:
In this embodiment, according to the size of a certain oil fieldStatistical finding of quantitative geological and well logging data, fitting index x1Set at-0.1666, x2The setting is-0.1667, the reconstructed acoustic time difference curve can better reflect the geological characteristics of the stratum and has better consistency with the logging acoustic time difference value of the stratum, so x is used in the embodiment1Set to-0.1666, x2Set at-0.1667.
3) The curve reconstruction processing device 103 calculates the undetermined coefficient C by using the function relationship and the fitting index of the reconstructed acoustic time difference curve obtained in the step 2) and the formation resistivity curve data and the logging depth curve data (shown in the table 1) obtained in the step 1) through a least square fitting method0、C1To obtain C0120.917 and C1248.687. Therefore, the generated functional relation formula is as follows:
DT＝119.037+541.857*Dep(-0.1666)*Rt (-0.1667)
and substituting the stratum resistivity curve Rt and the logging depth curve Dep of the well where the acoustic time difference curve to be reconstructed obtained in the step 1) is located to obtain a reconstructed acoustic time difference curve DT.
4) The generated acoustic time difference curve DT is output and displayed by the reconstructed data output device 30. The display result is shown in fig. 6, wherein the curve (i) is an original sound wave time difference curve, and the curve (ii) is a reconstructed sound wave time difference curve.
According to the degree of Depth data and the stratum resistivity curve data of table 1, to utilizing the utility model discloses a sound wave time difference curve of sound wave time difference curve reconstruction equipment reconsitution carries out the error and verifies, and the second in table 1 is listed as actual measurement sound wave time difference curve data, according to the utility model discloses, when Depth for 5260.0m, Rt be 3.76 ohm when the meter, obtain:
DT＝119.037+541.857*Dep(-0.1666)*Rt (-0.1667)
＝119.037+541.857*5260.0-0.1666*3.76-0.1667
＝119.037+541*0.2399295696415191*0.8018925639919395
＝119.036+104.252
＝223.288
it is verified that the calculated result obtained by the formula according to the present embodiment has a relative error of only-3.8% from the measured 231.7, i.e. the curve trend is substantially consistent.
When Depth is 5292.8m, Rt is 4.17 ohm meter, we get:
DT＝119.037+541.857*Dep(-0.1666)*Rt (-0.1667)
＝119.037+541.857*5292.8-0.1666*4.17-0.1667
＝119.037+541*0.23968121548445775*0.78817620543003028233
＝119.036+102.201
＝221.237
the comparison result obtained according to the formula of the embodiment is only-0.1% of the relative error of the calculation result and the actually measured 221.5, namely the curve trend is basically consistent, and the geological characteristics of the reservoir can be well reflected.
Fig. 6 is the utility model discloses restructuring sound wave time difference curve and actual measurement sound wave time difference curve contrast map. From table 1 and fig. 6, adopt the utility model discloses restructuring sound wave time difference curve is unanimous with actual measurement sound wave time difference curve trend, the geological feature of reflection reservoir stratum that can be better, and the result of application is fine.
Utilize the utility model discloses sound wave time difference method and equipment can reconstruct sound wave time difference curve comparatively accurately, rapidly, has solved because lack the problem that the reservoir porosity can't be asked to the ration to sound wave time difference curve, has realized the quantitative calculation of oil and gas reservoir physical property parameter, can in time serve or satisfy the needs that the evaluation was explained to the logging data, has better application effect.
The above-mentioned embodiments, further detailed description of the objects, technical solutions and advantages of the present invention, it should be understood that the above-mentioned embodiments are only specific embodiments of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (3)
1. An acoustic transit time curve reconstructing apparatus, comprising: the system comprises a data acquisition device, a functional relation storage device, a curve reconstruction processing device and a reconstruction data output device;
the curve reconstruction processing device is respectively connected with the data acquisition device, the functional relation storage device and the reconstructed data output device; wherein,
the data acquisition device comprises: the device comprises a resistivity data acquisition device for acquiring formation resistivity curve data and a logging depth data acquisition device for acquiring logging depth curve data;
the functional relation storage device is used for storing an acoustic wave time difference curve calculation formula;
the curve reconstruction processing device comprises: the coefficient generating device is used for generating the coefficient of the acoustic time difference curve calculation formula according to the acoustic time difference curve calculation formula, the formation resistivity curve data, the logging depth curve data and the least square method, and the reconstruction result generating device is used for generating curve reconstruction result data according to the acoustic time difference curve calculation formula, the formation resistivity curve data and the logging depth curve data; and the reconstruction data output device is used for outputting the sound wave time difference curve reconstruction result data.
2. The acoustic moveout reconstruction apparatus of claim 1, wherein the reconstruction data output means comprises: and a reconstruction curve display device for displaying the reconstructed set of acoustic time difference DT values.
3. The acoustic moveout reconstruction apparatus of claim 1, wherein the reconstruction data output means comprises: and the reconstruction curve data output device is used for outputting a group of sound wave time difference DT values.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103485768A (en) * | 2012-06-13 | 2014-01-01 | 中国石油天然气集团公司 | Method for forming acoustic logging curve |
| CN103850679A (en) * | 2014-04-01 | 2014-06-11 | 北京师范大学 | Method for reconstructing interval transit time curve by virtue of multiple logging curves |
| CN104295293A (en) * | 2014-10-23 | 2015-01-21 | 中国石油天然气股份有限公司 | Method for obtaining logging density curve |
| CN106837313A (en) * | 2016-12-28 | 2017-06-13 | 中国石油天然气集团公司 | LWF memory-type acoustic logging slowness extracting methods |
| CN113050189A (en) * | 2019-12-27 | 2021-06-29 | 北京国双科技有限公司 | Method, device and equipment for reconstructing logging curve and storage medium |
-
2010
- 2010-06-01 CN CN2010202200758U patent/CN201747364U/en not_active Expired - Lifetime
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103485768A (en) * | 2012-06-13 | 2014-01-01 | 中国石油天然气集团公司 | Method for forming acoustic logging curve |
| CN103485768B (en) * | 2012-06-13 | 2016-03-09 | 中国石油天然气集团公司 | The construction process of acoustic logging |
| CN103850679A (en) * | 2014-04-01 | 2014-06-11 | 北京师范大学 | Method for reconstructing interval transit time curve by virtue of multiple logging curves |
| CN103850679B (en) * | 2014-04-01 | 2019-12-17 | 北京师范大学 | method for reconstructing sound wave time difference curve by using various logging curves |
| CN104295293A (en) * | 2014-10-23 | 2015-01-21 | 中国石油天然气股份有限公司 | Method for obtaining logging density curve |
| CN104295293B (en) * | 2014-10-23 | 2017-04-12 | 中国石油天然气股份有限公司 | Method for obtaining logging density curve |
| CN106837313A (en) * | 2016-12-28 | 2017-06-13 | 中国石油天然气集团公司 | LWF memory-type acoustic logging slowness extracting methods |
| CN106837313B (en) * | 2016-12-28 | 2019-10-11 | 中国石油天然气集团公司 | LWF memory-type acoustic logging slowness extracting method |
| CN113050189A (en) * | 2019-12-27 | 2021-06-29 | 北京国双科技有限公司 | Method, device and equipment for reconstructing logging curve and storage medium |
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