CN110955982A - Metamorphic rock reservoir permeability calculation method and device and computer storage medium - Google Patents
Metamorphic rock reservoir permeability calculation method and device and computer storage medium Download PDFInfo
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- E—FIXED CONSTRUCTIONS
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Abstract
The invention relates to the technical field of oil and gas exploration, and discloses a metamorphic rock reservoir permeability calculation method, which comprises the following steps: s1, acquiring conventional logging information and core analysis information of the reservoir, and obtaining a formation resistivity relative value at a depth point with the core analysis information; s2, dividing the relative formation resistivity values of all points into different distribution intervals; s3, respectively fitting the core porosity value and the core analysis permeability value in each distribution interval of the relative formation resistivity values, and establishing a permeability logging interpretation model; s4, acquiring the porosity of the reservoir by using conventional logging information; and S5, calculating the permeability of the reservoir according to the permeability logging interpretation model, the porosity of the reservoir and the relative value of the formation resistivity. The invention aims at the metamorphic rock reservoir characteristics and can achieve the technical effects of high calculation precision and low cost.
Description
Technical Field
The invention relates to the technical field of oil and gas exploration, in particular to a metamorphic rock reservoir permeability calculation method and device and a computer storage medium.
Background
With the deep exploration and development of domestic oil and gas fields, metamorphic rock reservoirs gradually enter the visual field of people. Compared with the traditional sedimentary rock reservoir, the metamorphic rock reservoir has the characteristics of complex lithology, strong heterogeneity, compact reservoir, low pore permeability and the like. At present, in the aspect of evaluating a metamorphic rock reservoir by utilizing conventional logging data, the method is basically in qualitative and semi-quantitative evaluation stages, and has the disadvantages of poor adaptability, low interpretation parameter precision and large evaluation result error. Therefore, a permeability calculation method which is strong in adaptability, effective, reliable in calculation result and convenient to operate is urgently needed to be established for the characteristics of the metamorphic rock reservoir and can be used for guiding production practice.
Disclosure of Invention
The invention aims to overcome the technical defects, provides a metamorphic rock reservoir permeability calculation method, a metamorphic rock reservoir permeability calculation device and a computer storage medium, and solves the technical problems that in the prior art, the calculation precision of the tight metamorphic rock fractured reservoir permeability is low, and the tight metamorphic rock fractured reservoir characteristics are not met.
In order to achieve the technical purpose, the technical scheme of the invention provides a metamorphic rock reservoir permeability calculation method, which comprises the following steps:
s1, acquiring conventional logging information and core analysis information of the reservoir, and obtaining a formation resistivity relative value at a depth point with the core analysis information;
s2, dividing the relative formation resistivity values of all points into different distribution intervals;
s3, respectively fitting the core porosity value and the core analysis permeability value in each distribution interval of the relative formation resistivity values, and establishing a permeability logging interpretation model;
s4, acquiring the porosity of the reservoir by using conventional logging information;
and S5, calculating the permeability of the reservoir according to the permeability logging interpretation model and the porosity of the reservoir.
The invention also provides a metamorphic rock reservoir permeability computing device which comprises a processor and a memory, wherein the memory is stored with a computer program, and the computer program is executed by the processor to realize the metamorphic rock reservoir permeability computing method.
The invention also provides a computer storage medium on which a computer program is stored, which, when executed by a processor, implements the metamorphic rock reservoir permeability calculation method.
Compared with the prior art, the invention has the beneficial effects that: according to the invention, the permeability logging interpretation model is obtained by fitting the core porosity value and the analysis permeability value, and describes the relationship between the permeability and the porosity, so that the porosity of the reservoir is obtained firstly, and then the permeability of the reservoir can be obtained by combining the permeability logging interpretation model. Meanwhile, fitting is carried out in different distribution intervals of the relative values of the formation resistivity so as to enhance the correlation between the porosity and the permeability and improve the interpretation precision of a permeability logging interpretation template, thereby further improving the calculation precision of the permeability and providing guiding opinions for oil and gas development of a compact metamorphic rock fractured reservoir.
Drawings
FIG. 1 is a flow chart of one embodiment of a reservoir permeability calculation method provided by the present invention;
FIG. 2 is a cross-plot of an embodiment of the present invention providing a core porosity value to core analysis permeability value fit
FIG. 3 is a diagram of the well logging computational results of an embodiment of a permeability logging interpretation model provided by the present invention;
FIG. 4 is a cross-plot of core porosity values versus acoustic time differences for one embodiment provided by the present invention;
FIG. 5 is a cross-plot of core porosity values versus compensated density for one embodiment of the present disclosure;
FIG. 6 is a cross-plot of an embodiment of core porosity values versus compensated neutron fitting provided by the present invention;
FIG. 7 is a diagram of the computational results of an embodiment of a porosity log interpretation model provided by the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Example 1
As shown in fig. 1, embodiment 1 of the present invention provides a metamorphic rock reservoir permeability calculation method, including the steps of:
s1, acquiring conventional logging information and core analysis information of the reservoir, and obtaining a formation resistivity relative value at a depth point with the core analysis information;
s2, dividing the relative formation resistivity values of all points into different distribution intervals;
s3, respectively fitting the core porosity value and the core analysis permeability value in each distribution interval of the relative formation resistivity values, and establishing a permeability logging interpretation model;
s4, acquiring the porosity of the reservoir by using conventional logging information;
and S5, calculating the permeability of the reservoir according to the permeability logging interpretation model and the porosity of the reservoir.
In the embodiment, the permeability logging interpretation model is obtained by fitting the core porosity value and the core analysis permeability value, and the permeability logging interpretation model describes the relationship between the permeability and the porosity, so that the permeability of the reservoir can be obtained by firstly obtaining the porosity of the reservoir and then combining the permeability logging interpretation model. The permeability logging interpretation model provided by the invention is established by combining porosity, is more fit with the reservoir characteristics of the compact metamorphic rock fractured reservoir, and has high calculation precision and low calculation cost. Meanwhile, fitting is carried out in different distribution intervals of the relative values of the formation resistivity so as to enhance the correlation between the porosity and the permeability and improve the interpretation precision of the permeability logging interpretation template, thereby further improving the calculation precision of the permeability.
FIG. 2 shows the core Porosity (POR) value and the core analysis Permeability (PREM) value at R 'in this example'tThe fitted intersection plot in different distribution intervals. FIG. 3 shows a log result chart of the present embodiment providing an interpretation model of permeability logs.
The method has the technical effects of high calculation precision, fitting of reservoir characteristics of the compact metamorphic rock fractured reservoir and low cost.
Preferably, the first and second liquid crystal materials are,
in S1, the obtaining of the relative formation resistivity value specifically includes:
wherein R'tIs the relative value of the formation resistivity, RminFor the minimum formation resistivity, R, detected in the depth sectionmaxFor the maximum formation resistivity, R, detected in the depth zonetIs the formation resistivity of the point.
The stratum resistivity relative value can be divided into different numbers of distribution intervals according to reservoirs with different conditions, and the more complicated the lithology of the reservoir is, the number of the divided intervals of the stratum resistivity relative value can be increased, so that the correlation between the porosity and the permeability is enhanced, and the interpretation precision is improved.
Preferably, the core porosity value is obtained through porosity logging data or nuclear magnetic logging data.
The core porosity value obtained through the porosity logging data or the nuclear magnetic logging data is high in precision, and the precision of the permeability logging interpretation model is improved. According to the invention, porosity logging data or nuclear magnetic logging data are acquired only before the permeability logging interpretation model is established, and the calculation of permeability can be completed only by acquiring porosity after the permeability logging interpretation model is established.
Preferably, the S3 further includes:
s31, calculating a correlation coefficient of the permeability logging interpretation model;
and S32, judging whether the correlation coefficient of the permeability logging interpretation model reaches a set threshold value, if so, outputting the permeability logging interpretation model, otherwise, subdividing the distribution interval of the formation resistivity relative value of each point, reconstructing the permeability logging interpretation model according to the subdivided distribution interval, and then turning to S31.
The number of the distribution intervals of the formation resistivity relative values is related to the correlation between the core porosity value and the core analysis permeability value, and the interpretation precision of the permeability logging interpretation model can be improved by increasing the number of the distribution intervals of the formation resistivity relative values, so that the division of the appropriate distribution intervals of the formation resistivity relative values is particularly important. In the preferred embodiment, whether the division of the distribution interval of the formation resistivity relative value meets the precision requirement is judged by calculating the correlation coefficient of the permeability logging interpretation model, if yes, the current permeability logging interpretation model is output, the permeability is calculated, if not, the distribution interval of the formation resistivity relative value is divided again, and the permeability logging interpretation model is reconstructed until the precision requirement is met.
Preferably, the S4 is specifically:
s41, obtaining a relative formation resistivity value at the depth point with the core analysis data;
s42, dividing the stratum resistivity relative values of each point into different distribution intervals;
s43, fitting the core porosity value and the conventional logging curve value in the distribution interval of the resistivity relative value of each stratum, and establishing a porosity logging interpretation model;
and S44, calculating the porosity of the reservoir according to the porosity logging interpretation model and the conventional logging information.
The porosity can be obtained by core analysis data acquisition or by conventional data calculation. The porosity of the preferred embodiment can be obtained through conventional logging information, but the porosity is not directly obtained, and the porosity is calculated by establishing a porosity logging interpretation model of the core porosity and a conventional logging curve. The porosity logging interpretation model describes the relationship between the porosity and the conventional logging curve, so that after the porosity logging interpretation model is obtained, the porosity can be obtained only by obtaining the conventional logging curve. And only a conventional logging curve needs to be obtained, so the use cost is low, and the large-scale development is facilitated. Meanwhile, before the porosity logging interpretation model is established, distribution intervals are divided according to the relative value of the formation resistivity, fitting of the core porosity value and the porosity curve value of the conventional logging curve is carried out in different distribution intervals of the relative value of the formation resistivity, namely, fitting of the porosity curve value and the actual porosity value under different electrical conditions is carried out, and the porosity logging interpretation model is established, so that the correlation between the conventional logging curve and the core porosity value is enhanced, the interpretation precision of the porosity logging interpretation model is improved, and high-precision porosity calculation is realized on the basis of low cost. It should be understood that the determination of the relative formation resistivity values and the interval division in S4 are performed for the establishment of the porosity logging interpretation model, which is not the same step as S1 and S2, and S1 and S2 are performed for the establishment of the permeability logging interpretation model. When the porosity logging interpretation model and the permeability logging interpretation model are corrected, the distribution intervals are divided again and are respectively performed on different objects.
In the preferred embodiment, a porosity logging interpretation model of porosity and permeability is established, a porosity logging interpretation model of a conventional logging curve and porosity is established, and finally the permeability of the reservoir is obtained by utilizing the porosity calculated by the porosity logging interpretation model.
Preferably, the conventional logging curve values comprise acoustic time difference, compensation neutrons and compensation density, and the core porosity value is fitted with the acoustic time difference, the compensation neutrons and the compensation density respectively to obtain the porosity logging interpretation model.
The conventional logging curves include two mudness indication logging curves, three porosity logging curves and three resistivity logging curves, and the three porosity logging curves are used for respectively acquiring logging values of acoustic time difference (AC), Compensated Neutron (CNL) and compensated Density (DEN), and then are respectively fitted with the core Porosity (POR) value.FIGS. 4, 5, and 6 show the values of acoustic time difference (AC), Compensated Neutrons (CNL), and compensated Density (DEN) versus core Porosity (POR) at R'tFitting intersection graphs in different distribution intervals. Fig. 7 shows a logging result diagram of the porosity logging interpretation model provided by the present embodiment.
Preferably, the S43 further includes:
s431, calculating a correlation coefficient of the porosity logging interpretation model;
s432, judging whether the correlation coefficient of the porosity logging interpretation model reaches a set threshold value, if so, outputting the porosity logging interpretation model, otherwise, subdividing the distribution interval of the formation resistivity relative value of each point, reconstructing the porosity logging interpretation model according to the subdivided distribution interval, and then turning to S431.
The division number of the distribution intervals of the formation resistivity relative values is related to the correlation between the conventional logging curve and the core porosity value, and the interpretation precision of the porosity logging interpretation model can be improved by increasing the number of the distribution intervals of the formation resistivity relative values, so that the division of the appropriate distribution intervals is particularly important. In the preferred embodiment, whether the division of the distribution interval of the formation resistivity relative value meets the precision requirement is judged by calculating the correlation coefficient of the porosity logging interpretation model, if yes, the current porosity logging interpretation model is output, the porosity is calculated, if not, the distribution interval of the formation resistivity relative value is divided again, and the porosity logging interpretation model is reconstructed until the precision requirement is met.
Example 2
The device for calculating the permeability of the metamorphic rock reservoir provided by the invention is used for realizing the method for calculating the permeability of the metamorphic rock reservoir, so that the device for calculating the permeability of the metamorphic rock reservoir has the technical effects, and the device for calculating the permeability of the metamorphic rock reservoir is also provided, and is not repeated herein.
Example 3
The computer storage medium provided by the invention is used for realizing the metamorphic rock reservoir permeability calculation method, so that the computer storage medium has the technical effects of the metamorphic rock reservoir permeability calculation method, and the description is omitted here.
The above-described embodiments of the present invention should not be construed as limiting the scope of the present invention. Any other corresponding changes and modifications made according to the technical idea of the present invention should be included in the protection scope of the claims of the present invention.
Claims (9)
1. A metamorphic rock reservoir permeability calculation method is characterized by comprising the following steps:
s1, acquiring conventional logging information and core analysis information of the reservoir, and obtaining a formation resistivity relative value at a depth point with the core analysis information;
s2, dividing the relative formation resistivity values of all points into different distribution intervals;
s3, respectively fitting the core porosity value and the core analysis permeability value in each distribution interval of the relative formation resistivity values, and establishing a permeability logging interpretation model;
s4, acquiring the porosity of the reservoir by using conventional logging information;
and S5, calculating the permeability of the reservoir according to the permeability logging interpretation model, the porosity of the reservoir and the relative value of the formation resistivity.
2. The method for calculating the permeability of the metamorphic rock reservoir according to claim 1, wherein in the step S1, the step of obtaining the relative formation resistivity specifically comprises the steps of:
wherein R'tIs the relative value of the formation resistivity, RminFor the minimum value of the formation resistivity, R, detected in said depth zonemaxFor the maximum value of the formation resistivity, R, detected in said depth sectiontIs the formation resistivity of the point.
3. The method for calculating the permeability of the metamorphic rock reservoir of claim 1 wherein the core porosity value is obtained by core analysis data.
4. The method for calculating permeability of a metamorphic rock reservoir as claimed in claim 1, wherein the S3 further comprises:
s31, calculating a correlation coefficient of the permeability logging interpretation model;
and S32, judging whether the correlation coefficient of the permeability logging interpretation model reaches a set threshold value, if so, outputting the permeability logging interpretation model, otherwise, subdividing the distribution interval of the formation resistivity relative value of each point, reconstructing the permeability logging interpretation model according to the subdivided distribution interval, and then turning to S31.
5. The method for calculating the permeability of the metamorphic rock reservoir according to claim 1, wherein the S4 is specifically:
s41, obtaining a relative formation resistivity value at the depth point with the core analysis data;
s42, dividing the stratum resistivity relative values of each point into different distribution intervals;
s43, fitting the core porosity value and the conventional logging curve value in the distribution interval of the resistivity relative value of each stratum, and establishing a porosity logging interpretation model;
and S44, calculating the porosity of the reservoir according to the porosity logging interpretation model and the conventional logging information.
6. The metamorphic rock reservoir permeability calculation method according to claim 5, wherein the conventional logging curve values include acoustic moveout logging, compensated neutrons and compensated density logging, and the porosity value of the core is fitted with the acoustic moveout logging value, the compensated neutrons and the compensated density logging value respectively to obtain the porosity logging interpretation model.
7. The method for calculating permeability of a metamorphic rock reservoir of claim 5, wherein the S43 further comprises:
s431, calculating a correlation coefficient of the porosity logging interpretation model;
s432, judging whether the correlation coefficient of the porosity logging interpretation model reaches a set threshold value, if so, outputting the porosity logging interpretation model, otherwise, subdividing the distribution interval of the formation resistivity relative value of each point, reconstructing the porosity logging interpretation model according to the subdivided distribution interval, and then turning to S431.
8. A reservoir metamorphic rock permeability calculation apparatus comprising a processor and a memory, the memory having stored thereon a computer program that, when executed by the processor, implements the metamorphic rock reservoir permeability calculation method of any of claims 1-7.
9. A computer storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the metamorphic rock reservoir permeability calculation method according to any of claims 1-7.
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| CN112182845A (en) * | 2020-09-04 | 2021-01-05 | 长江大学 | Oil-water dry layer distinguishing method and system based on resistivity weighted average value |
| CN112559957A (en) * | 2020-11-17 | 2021-03-26 | 中海油田服务股份有限公司 | Permeability calculation method and device |
| CN112796738A (en) * | 2021-02-04 | 2021-05-14 | 西南石油大学 | Stratum permeability calculation method combining array acoustic logging and conventional logging |
| CN115467653A (en) * | 2022-08-29 | 2022-12-13 | 成都理工大学 | Method for acquiring logging permeability spectrum |
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| CN112069444A (en) * | 2020-08-18 | 2020-12-11 | 中海石油(中国)有限公司深圳分公司 | Method and computer for calculating reservoir well testing permeability by using well logging data |
| CN112069444B (en) * | 2020-08-18 | 2022-05-27 | 中海石油(中国)有限公司深圳分公司 | Method and computer for calculating reservoir well testing permeability by using well logging data |
| CN112182845A (en) * | 2020-09-04 | 2021-01-05 | 长江大学 | Oil-water dry layer distinguishing method and system based on resistivity weighted average value |
| CN112182845B (en) * | 2020-09-04 | 2022-08-26 | 长江大学 | Oil-water dry layer distinguishing method and system based on resistivity weighted average value |
| CN112559957A (en) * | 2020-11-17 | 2021-03-26 | 中海油田服务股份有限公司 | Permeability calculation method and device |
| CN112796738A (en) * | 2021-02-04 | 2021-05-14 | 西南石油大学 | Stratum permeability calculation method combining array acoustic logging and conventional logging |
| CN115467653A (en) * | 2022-08-29 | 2022-12-13 | 成都理工大学 | Method for acquiring logging permeability spectrum |
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