Well logging interpretation method and device for glauconite sandstone reservoir permeability

Abstract

The embodiment of the invention provides a glauconite sandstone reservoir permeability well logging interpretation method and device, and belongs to the technical field of oil exploration. According to the method and device, firstly, a glauconite sandstone layer section is determined; the porosity of the glauconite sandstone layer section and logging data of the corresponding depth are obtained; and determining the logging interpretation permeability of the glauconite sandstone reservoir according to the porosity and the logging data. According to the embodiment of the invention, the calculation process is simplified while the permeability precision of glauconite sandstone is improved.

Description

Technical Field

[0001] The embodiments of the present application relate to the technical field of oil exploration, and in particular, to a logging interpretation method and device for the permeability of glauconite sandstone reservoirs. Background Art

[0002] Glauconite sandstone generally refers to sandstone containing glauconite minerals, which is a kind of rock capable of storing oil and gas, and is widely distributed globally, having certain oil and gas exploitation prospects.

[0003] However, due to the mineral characteristics of glauconite, the oil and gas exploration and production in glauconite sandstone reservoirs are much more difficult than those in conventional rock reservoirs. One of the relatively large difficulties is that it is difficult to determine the physical properties such as shale content, porosity, oil saturation of pore fluid, and permeability, as well as fluid properties of glauconite sandstone reservoirs. In addition, due to the conductivity of glauconite minerals and the destructive effect of conductive clay minerals similar to glauconite on rock permeability, conventional logging interpretation methods cannot accurately calculate the permeability of glauconite sandstone. Summary of the Invention

[0004] In view of this, the embodiments of the present application provide a logging interpretation method and device for the permeability of glauconite sandstone reservoirs. According to the principle that the content of glauconite minerals will affect a variety of logging parameters, the method and device combine porosity with two logging data, namely natural gamma ray GR and photoelectric absorption cross-section index PEF, to generate a glauconite porosity-permeability index, and calculate the permeability of glauconite sandstone reservoirs based on the glauconite porosity-permeability index, while improving the calculation accuracy of permeability and simplifying the calculation process.

[0005] In a first aspect, the embodiments of the present application provide a logging interpretation method for the permeability of glauconite sandstone reservoirs, including:

[0006] Determine the glauconite sandstone layer section;

[0007] Obtain the porosity of the glauconite sandstone layer section and the logging data at the corresponding depth;

[0008] Determine the logging interpretation permeability of the glauconite sandstone reservoir according to the porosity and the logging data.

[0009] Optionally, the formula for determining the logging interpretation permeability of the glauconite sandstone reservoir according to the porosity and the logging data is:

[0010] PERM = a·e (b·POR+c·GR+d·PEF)

[0011] where a, b, c, and d are all constants, POR is porosity, GR is natural gamma ray, and PEF is photoelectric absorption cross-section index.

[0012] Optionally, perform normalization on the natural gamma ray GR in the formula for logging interpretation of the glauconite sandstone reservoir permeability:

[0013]

[0014] GR GA and GR SA respectively represent the typical value or average value of GR of glauconite sandstone and conventional sandstone in adjacent horizons in each actual well, with the unit of API, and values are taken for each well respectively.

[0015] Optionally, perform normalization on the photoelectric absorption cross-section index PEF in the formula for logging interpretation of the glauconite sandstone reservoir permeability:

[0016]

[0017] PEF GA and PEF SA respectively represent the typical value or average value of PEF of glauconite sandstone and conventional sandstone in adjacent horizons in each actual well, with the unit of barns / electron volt, and values are taken for each well respectively.

[0018] Optionally, the four constants a, b, c, and d in the formula for logging interpretation of the glauconite sandstone reservoir permeability can be determined by the sample experimental measurement data of the core hole.

[0019] In a second aspect, the embodiments of the present application further provide a logging interpretation device for the permeability of a glauconite sandstone reservoir, including the following modules:

[0020] A glauconite sandstone layer section determination module, configured to determine the glauconite sandstone layer section for which the permeability is to be calculated;

[0021] An extraction module, configured to obtain the porosity of the glauconite sandstone layer section and the logging data at the corresponding depth;

[0022] A permeability module, configured to determine the logging interpretation permeability of the glauconite sandstone reservoir according to the porosity and the logging data.

[0023] Optionally, the formula used by the permeability module to calculate the permeability of the glauconite sandstone reservoir is:

[0024] PERM = a·e (b·POR+c·GR+d·PEF)

[0025] wherein, a, b, c, and d are all constants, POR is the porosity, GR is the natural gamma ray, and PEF is the photoelectric absorption cross-section index.

[0026] Optionally, the device further includes a natural gamma ray (GR) normalization module, which is located between the extraction module and the permeability module, and is configured to perform normalization processing on the natural gamma ray (GR) extracted by the extraction module and send the data after normalization processing to the permeability module. The normalization processing formula is:

[0027]

[0028] GR GA and GR SA respectively represent the typical values or average values of glauconitic sandstone and conventional sandstone in adjacent horizons in each actual well for GR, with the unit of API, and are taken for each well respectively.

[0029] Optionally, the device further includes a photoelectric absorption cross-section index (PEF) normalization module, which is located between the extraction module and the permeability module, and is configured to perform normalization processing on the photoelectric absorption cross-section index (PEF) extracted by the extraction module and send the data after normalization processing to the permeability module. The normalization processing formula is:

[0030]

[0031] PEF GA and PEF SA respectively represent the typical values or average values of glauconitic sandstone and conventional sandstone in adjacent horizons in each actual well for PEF, with the unit of barns / electron volt, and are taken for each well respectively.

[0032] Optionally, the device further includes a constant confirmation module, which is configured to determine the four constants a, b, c, and d through the sample test measurement data of the cored well.

[0033] For the logging interpretation method and device for the permeability of glauconitic sandstone reservoir provided in the embodiments of the present application, compared with the prior art in which only porosity is considered when calculating permeability, the embodiments of the present application also consider the natural gamma ray (GR) and the photoelectric absorption cross-section index (PEF) that can reflect the glauconite content in glauconitic sandstone. Since the content of glauconite minerals has a greater impact on permeability, the accuracy of the calculated glauconite permeability in the embodiments of the present application is higher, and it is not necessary to directly measure the content of glauconite in glauconitic sandstone, which simplifies the calculation process of permeability. Description of the Drawings

[0034] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings described below are only some embodiments recorded in the embodiments of the present application. For those of ordinary skill in the art, other drawings can also be obtained based on these drawings.

[0035] Figure 1 Schematic flow chart of a logging interpretation method for the permeability of glauconite sandstone reservoirs shown in an exemplary embodiment of the present application;

[0036] Figure 2 Flow chart of the method for calculating the permeability of glauconite sandstone in an exemplary embodiment of the present application;

[0037] Figure 3 Schematic diagram of the correlation between the permeability obtained by applying the permeability calculation method of the present application and the core;

[0038] Figure 4 Schematic diagram of the correlation between the permeability calculated by the existing technology and the core;

[0039] Figure 5 Structure diagram of a logging interpretation device for the permeability of glauconite sandstone reservoirs provided in an exemplary embodiment of the present application. Detailed implementation manners

[0040] In order to enable those skilled in the art to better understand the technical solutions in the embodiments of the present application, the following will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the embodiments of the present application, all other embodiments obtained by those of ordinary skill in the art shall fall within the scope protected by the embodiments of the present application.

[0041] In the invention patent application with the application name "Sandstone Logging Interpretation Method and Device Based on the Dual-Textural Model of Glauconite Minerals" and the application number 202210181635.0, the porosity and water saturation of glauconite are calculated using the glauconite framework model. However, the specific calculation method for the permeability of glauconite sandstone is not involved.

[0042] Currently, there are relatively many patents for determining the content of glauconite minerals in glauconite sandstone. For example, in the invention patent "A Method and Device for Determining the Content of Glauconite in Glauconite Sandstone" with the authorization announcement number CN105510986B, a method for determining the content of glauconite using the correlation between logging data and the content of glauconite in core samples is proposed. And in the utility model patent "A Device for Measuring the Content of Glauconite in Glauconite Quartz Sandstone" with the authorization announcement number CN207689392U, a logging device is also designed to directly measure the content of glauconite in the formation. However, how the content of glauconite quantitatively affects the permeability is not involved in these patents.

[0043] The calculation method of glauconite sandstone reservoir permeability is involved in the publicly published literature. For example, in the literature of the SEG Association, Zhang Y. "Permeability evaluation in a glauconite-rich formation in the Carnarvon Basin, Western Australia" [J]. SEG Technical Program Expanded Abstracts, 1999, 16(1) (doi: 10.1190 / 1.1886147), the neural network method is used for quantitative calculation of the permeability of clastic rock reservoirs in similar oil and gas areas. This quantitative calculation method is mainly the application of artificial intelligence learning methods and does not explain from the perspective of rock physics principles.

[0044] Based on the above, from the research results of the existing technology, there is basically no method for calculating the permeability of glauconite sandstone in the existing technology. Most of the technologies are to solve the determination of the glauconite content in sandstone or qualitatively analyze the influence of glauconite on physical properties.

[0045] As Figure 1 shown, the embodiments of the present application propose a logging interpretation method for the permeability of glauconite sandstone reservoirs, including the following steps:

[0046] Determine the glauconite sandstone layer section;

[0047] Obtain the porosity of the glauconite sandstone layer section and the logging data at the corresponding depth;

[0048] Determine the logging interpretation permeability of the glauconite sandstone reservoir according to the porosity and the logging data.

[0049] In practical applications, the content of glauconite minerals in glauconite sandstone has a great influence on permeability. In general logging interpretation permeability formulas, only the relationship between porosity and permeability is considered, and it is usually an exponential relationship, as shown in formula (1). Where a and b are constants, usually determined by the measured permeability and porosity of core and cuttings samples in the test area.

[0050] PERM = a·e (b·POR) (1)

[0051] In the embodiments of the present application, considering that glauconitic sandstone is a sandstone relatively rich in glauconite minerals, as a kind of clay mineral, glauconite is rich in natural radioactive elements. Therefore, the relatively enriched intervals can produce higher readings in natural gamma ray (GR) logging, which is actually similar to ordinary clay minerals. However, different from ordinary clay minerals, glauconite has the characteristic of being rich in iron (Fe) elements, which will affect various logging readings such as resistivity and photoelectric absorption cross section index (PEF). Among them, resistivity logging is very sensitive to the fluid type in addition to the influence of minerals. Especially in formations containing oil and gas, these hydrocarbon fluids have a great influence on resistivity. Therefore, it is not suitable as a mineral indication index. The photoelectric absorption cross section index (PEF) mainly reflects the photoelectric effect of minerals on external GR rays and is hardly affected by fluids. The PEF measurement value of glauconite minerals rich in iron elements is relatively high and significantly higher than that of ordinary clay minerals such as aluminum and magnesium. Therefore, it is an important parameter for identifying glauconite and its content.

[0052] Taking the above factors into comprehensive consideration, in the embodiments of the present application, natural gamma ray (GR) and photoelectric absorption cross section index (PEF) are combined as an index to reflect the content of glauconite in sandstone.

[0053] Therefore, in the embodiments of the present application, after determining the target glauconitic sandstone interval, in addition to obtaining the porosity of the glauconitic sandstone interval, it is also necessary to obtain logging data such as natural gamma ray (GR) and photoelectric absorption cross section index (PEF) at the corresponding depth, and combine the porosity and logging data to jointly determine the permeability of glauconitic sandstone. In this way, various factors affecting glauconitic sandstone are comprehensively considered, and the calculation accuracy of permeability is improved.

[0054] Further, according to the porosity and logging data, the formula for determining the logging interpretation permeability of the glauconitic sandstone reservoir is:

[0055] PERM = a·e (b·POR+c·GR+d·PEF) (2)

[0056] Wherein, a, b, c, and d are all constants. POR is the porosity, GR is the natural gamma ray, and PEF is the photoelectric absorption cross section index.

[0057] It should be noted that in the embodiments of the present application, b·POR + c·GR + d·PEF is called the glauconite porosity-permeability index, which is used to distinguish the method of estimating permeability only by porosity in the ordinary permeability formula.

[0058] It should also be noted that by using the measured permeability and porosity of core and cuttings samples in the test area, and combining the logging values GR and PEF at the same positions of the core and cuttings, the four constants a, b, c, and d can be determined.

[0059] In the embodiments of the present application, considering that the natural gamma ray GR is affected by differences in instrument equipment and acquisition conditions, the logging parameters can be normalized. The specific processing method can be as follows:

[0060]

[0061] GR GA and GR SA respectively represent the maximum and minimum values of GR for glauconitic sandstone and conventional sandstone in adjacent horizons in each actual well, with the unit of API, and the values are taken for each well respectively.

[0062] After normalizing the natural gamma ray, the permeability formula is updated to:

[0063] PERM = a·e (b·POR+c·ΔGR+d·PEF) (4)

[0064] The glauconite porosity-permeability index also becomes b·POR + c·ΔGR + d·PEF.

[0065] Similarly, the photoelectric absorption cross-section index PEF is also affected by differences in instrument equipment and acquisition conditions. To make the data more accurate, PEF can also be normalized:

[0066]

[0067] PEF GA and PEF SA respectively represent the maximum and minimum values of PEF for glauconitic sandstone and conventional sandstone in adjacent horizons in each actual well, with the unit of barns / electron volt, and the values are taken for each well respectively.

[0068] The permeability formula after normalizing the photoelectric absorption cross-section index PEF is updated to:

[0069] PERM = a·e (b·POR+c·GR+d·ΔPEF) (6)

[0070] The glauconite porosity-permeability index also becomes b·POR + c·GR + d·ΔPEF.

[0071] Furthermore, if both the natural gamma ray GR and the photoelectric absorption cross-section index PEF are normalized, the problem of inaccuracy of the natural gamma ray GR and the photoelectric absorption cross-section index PEF caused by differences in instrument equipment and acquisition conditions can be avoided, and the formula becomes:

[0072] PERM = a·e (b·POR+c·ΔGR+d·ΔPEF) (7)

[0073] (b·POR + c·GR + d·PEF) in Formula (2), b·POR + c·ΔGR + d·PEF in Formula (4), b·POR + c·GR + d·ΔPEF in Formula (6), and b·POR + c·ΔGR + d·ΔPEF in Formula (7) can all be referred to as the glauconite porosity-permeability index. It can be seen from the glauconite porosity-permeability index that the glauconite porosity-permeability index is not only related to porosity, but also related to the natural gamma ray GR and the photoelectric absorption cross-section index. Therefore, compared with the prior art where only porosity is considered when calculating permeability, the embodiments of the present application also consider the natural gamma ray GR and the photoelectric absorption cross-section index PEF that can reflect the glauconite content in glauconite sandstone. Since the content of glauconite minerals has a greater impact on permeability, the calculated glauconite permeability in the embodiments of the present application has higher accuracy, and it is not necessary to directly measure the content of glauconite in glauconite sandstone, simplifying the calculation process of permeability.

[0074] Furthermore, the four constants a, b, c, and d in the embodiments of the present application can be determined by the sample experimental measurement data of the core well. Specifically, it can be determined by the sample experimental measurement data of the core well in the target area. According to the permeability formula in the embodiments of the present application, if four groups of data of the measured porosity, permeability, natural gamma ray GR, and photoelectric absorption cross-section index PEF obtained from sample experiments can be obtained, the four constants a, b, c, and d can be calculated. Therefore, in theory, as long as the number of samples is more than 4, a, b, c, and d can be determined.

[0075] In the embodiments of the present application, without directly calculating the specific content of glauconite minerals, by combining porosity with natural gamma ray GR and the photoelectric index PEF to calculate the permeability of glauconite sandstone, while improving the calculation accuracy of the permeability of glauconite sandstone, it is simple and relatively accurate to understand the development value of the glauconite sandstone reservoir.

[0076] As Figure 2 shown, an embodiment of the present application completes the permeability of glauconite sandstone in the target area drilling through four steps. The steps are as follows:

[0077] Step 1: Obtain the experimental permeability data, experimental porosity data, and well logging interpretation data GR and PEF of the glauconite sandstone core.

[0078] Using the core and cuttings of the glauconite sandstone section in the target area drilling, measure the experimental permeability data and experimental porosity data of the glauconite sandstone as the measured permeability PERM C and the measured porosity POR C， At the same time, obtain the experimental well logging data corresponding to the depth of the sandstone section, including the natural gamma ray GR data and the photoelectric absorption cross-section index PEF curve.

[0079] Step 2: Obtain the normalized data ΔGR and ΔPEF of GR and PEF.

[0080] Based on the maximum values of the GR and PEF indices read from the well in the glauconite sandstone section, and the minimum values of the GR and PEF indices of the conventional sandstone in the adjacent horizons vertically read from the well, combined with the GR experimental data and PEF experimental data corresponding to the depths of the sandstone section that have been obtained, perform normalization processing using the aforementioned formula (3) and the aforementioned formula (5) respectively to obtain ΔGR and ΔPEF.

[0081] Step 3: Determine the constant coefficients a, b, c, and d in the permeability formula.

[0082] Use the measured porosity POR of the core C , the measured core permeability PERM C , the normalized well logging data ΔGR at the corresponding position of the core, and the normalized well logging data ΔPEF to solve the constant coefficients a, b, c, and d involved in the permeability calculation formula (2) in the embodiments of the present application. The constant coefficients a, b, c, and d can be calculated using the following formula (8).

[0083]

[0084] Then, use blind wells or blind data points to perform quality control on the calculation results. Compare the correlation between the calculation results and the permeability results measured by the cores involved in the calculation, and the correlation between the calculation results and the permeability results of the blind wells or blind data points. It can be seen that the correlation calculated by the method of the embodiments of the present application is significantly higher than the correlation of the calculation results using formula (1) in the prior art. The embodiments of the present application take the calculation results with a high correlation with the permeability results measured by the cores as the final constant coefficients a, b, c, and d.

[0085] Step 4: Calculate the permeability of glauconite sandstone in other wells in the target area.

[0086] Use the constant coefficients a, b, c, and d determined in Step 3 to extend the permeability calculation formula (2) to other wells without core sample analysis data, and directly calculate the permeability of the glauconite sandstone section using the total porosity from well logging interpretation, the normalized well logging data ΔGR, and the normalized well logging data ΔPEF.

[0087] Taking 56 core samples in the glauconite sandstone section of 3 wells in a certain oilfield in the Orinoco Basin as an example, the method for calculating the permeability of glauconite sandstone in the embodiments of the present application is introduced in detail.

[0088] First, organize the laboratory test results and logging data of core samples at 56 sample points from 3 wells, extract the measured data of porosity and permeability of the cores, and extract the logging data of natural gamma ray GR and photoelectric absorption cross-section factor PEF at the corresponding depths of the cores.

[0089] An optional step is to normalize the natural gamma ray GR and photoelectric absorption cross-section factor PEF. If normalization is performed, read GR in the formula for each well respectively GA 、GR SA 、PEF GA and PEF SA , and then execute the normalization calculation formula to obtain the normalized natural gamma ray GR and photoelectric absorption cross-section factor PEF.

[0090] Secondly, according to the experimentally determined porosity POR C 、permeability PERM C 、logging data GR, PEF or normalized logging data ΔGR and ΔPEF, randomly select 50% of the samples, that is, 28, and solve the constant coefficients a, b, c, and d in formulas (2), (4), (6), and (7).

[0091] Finally, calculate the permeability PERM of 56 sample points according to the already calculated constant coefficients a, b, c, and d, and the porosity POR, logging data GR, PEF or normalized logging data ΔGR and ΔPEF.

[0092] As Figure 3 shown, the results show that the permeability calculated by the permeability calculation method in the embodiment of the present application has a good correlation with the core, and the correlation coefficient reaches 84.38%, with a high degree of coincidence, and fully meets the requirements for batch application to calculate the permeability of glauconite sandstone sections in other wells in the same area.

[0093] As a comparison, the permeability was also calculated using the conventional calculation formula (1) and conventional process. Only the experimentally determined porosity POR C was used, and the calculation results show that its correlation with the measured core permeability is poor, and the correlation coefficient is about 40%, which belongs to weak correlation and cannot be directly used to calculate the permeability.

[0094] Generally speaking, the presence of glauconite minerals has a negative effect on the permeability of sandstone. The number of samples with the calculation result of the conventional formula (1) that only considers porosity being higher than the experimentally determined result is relatively large, resulting in poor correlation. While the present invention relatively well considers the influence of the content of glauconite sandstone on the permeability, so the corresponding permeability calculation result has significantly improved coincidence with the experimentally determined result.

[0095] The present invention relates to a method and process for calculating the permeability of glauconite sandstone using conventional logging parameters. The method utilizes two logging parameters that are highly sensitive to the abundance of glauconite minerals, namely natural gamma ray and photoelectric absorption cross section index, to design an index for the pore-permeability relationship of glauconite sandstone. By using this index, the traditional porosity-permeability calculation method is improved to enable it to reflect the influence of glauconite abundance on the permeability of sandstone, and a corresponding calculation process for the permeability of glauconite sandstone is designed. The present invention does not require direct determination of the abundance of glauconite, and uses conventional logging parameters and basic logging interpretation parameters such as effective porosity, which is convenient for popularization and application. The application of the present invention in a glauconite sandstone section of an oilfield in the Orinoco Basin shows that the calculated results have a high correlation and a high degree of coincidence with the measured permeability, and the correlation is much higher than the permeability results calculated by using the traditional porosity method.

[0096] Based on the same inventive concept, the embodiment of the present application also provides a logging interpretation device for the permeability of a glauconite sandstone reservoir, as Figure 5 shown, the device includes:

[0097] A glauconite sandstone layer section determination module 501, configured to determine the glauconite sandstone layer section for which the permeability is to be calculated;

[0098] An extraction module 502, configured to obtain the porosity of the glauconite sandstone layer section and the logging data at the corresponding depth;

[0099] A permeability module 503, configured to determine the logging interpretation permeability of the glauconite sandstone reservoir according to the porosity and the logging data.

[0100] Further, the formula used by the permeability module 503 to calculate the permeability of the glauconite sandstone reservoir is:

[0101] PERM = a·e (b·POR+c·GR+d·PEF)

[0102] where a, b, c, and d are all constants, POR is porosity, GR is natural gamma ray, and PEF is photoelectric absorption cross section index.

[0103] Further, the device further includes a natural gamma ray GR normalization module, which is located between the extraction module and the permeability module, and is configured to perform normalization processing on the natural gamma ray GR extracted by the extraction module, and send the data after the normalization processing to the permeability module. The normalization processing formula is:

[0104]

[0105] GR GA and GR SAThey respectively represent the typical values or average values of glauconitic sandstone and adjacent conventional sandstone in each actual well, with the unit of API, and the values are taken for each well respectively.

[0106] Furthermore, the device further includes a photoelectric absorption cross-section index PEF normalization module, which is located between the extraction module and the permeability module, and is used to perform normalization processing on the photoelectric absorption cross-section index PEF extracted by the extraction module, and send the data after normalization processing to the permeability module. The normalization processing formula is:

[0107]

[0108] PEF GA and PEF SA They respectively represent the typical values or average values of glauconitic sandstone and adjacent conventional sandstone in each actual well, with the unit of barns / electron volt, and the values are taken for each well respectively.

[0109] Furthermore, the four constants a, b, c, and d can be determined by the experimental measurement data of the core samples in the cored wells.

[0110] In the above embodiments, the descriptions of the respective embodiments have their own focuses. For the parts not detailed or recorded in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0111] Those of ordinary skill in the art can realize that the functional modules and method steps of each example described in combination with the embodiments disclosed herein can be implemented by electronic hardware, or by a combination of computer software and electronic hardware. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of this application.

[0112] The above embodiments are only used to illustrate the technical solutions of this application, rather than to limit them. Although the preferred embodiments of the embodiments of this application have been described, those of ordinary skill in the art can make additional changes and modifications once they know the basic creative concepts. Therefore, the appended claims are intended to be interpreted to include the preferred embodiments and all changes and modifications falling within the scope of the embodiments of this application. Obviously, those skilled in the art can make various changes and variations to the embodiments of this application without departing from the spirit and scope of the embodiments of this application. Thus, if these modifications and variations of the embodiments of this application fall within the scope of the claims of the embodiments of this application and their equivalent technologies, the embodiments of this application are also intended to include these modifications and variations.

Claims

1. A logging interpretation method for the permeability of glauconite sandstone reservoirs, characterized in that, Including: Determine the glauconite sandstone layer section; Obtain the porosity of the glauconite sandstone layer section and the logging data at the corresponding depth; Determine the logging interpretation permeability of the glauconite sandstone reservoir according to the porosity and the logging data.

2. The logging interpretation method for the permeability of glauconite sandstone reservoir according to claim 1, characterized in that The formula for determining the logging interpretation permeability of the glauconite sandstone reservoir according to the porosity and the logging data is: PERM = a·e (b·POR+c·GR+d·PEF) Wherein, a, b, c, and d are constants, POR is the porosity, GR is the natural gamma ray, and PEF is the photoelectric absorption cross-section index.

3. The logging interpretation method for the permeability of glauconite sandstone reservoir according to claim 2, characterized in that, Perform normalization processing on the natural gamma ray GR in the formula for the logging interpretation permeability of the glauconite sandstone reservoir: GR GA and GR SA represent the typical or average GR values of glauconitic sandstone and adjacent conventional sandstone in each actual well, respectively, with the unit of API.

4. The logging interpretation method for the permeability of glauconitic sandstone reservoir according to claim 2 or 3, characterized in that, Perform normalization processing on the photoelectric absorption cross-section index PEF in the formula for the logging interpretation permeability of the glauconite sandstone reservoir: PEF GA and PEF SA represent the typical or average PEF values of glauconitic sandstone and conventional sandstone in adjacent horizons in each actual well, respectively, with the unit of barns / electron volt.

5. The logging interpretation method for the permeability of glauconite sandstone reservoir according to claim 2, wherein The four constants a, b, c, and d in the formula for the logging interpretation permeability of the glauconite sandstone reservoir can be determined by the sample experimental measurement data of the core hole.

6. A logging interpretation device for the permeability of glauconite sandstone reservoirs, characterized in that, Including the following modules: Glauconite sandstone layer section determination module, used to determine the glauconite sandstone layer section for which the permeability is to be calculated; Extraction module, used to obtain the porosity of the glauconite sandstone layer section and the logging data at the corresponding depth; Permeability module, used to determine the logging interpretation permeability of the glauconite sandstone reservoir according to the porosity and the logging data.

7. The logging interpretation device for the permeability of glauconite sandstone reservoir according to claim 6, characterized in that, The formula used by the permeability module to calculate the permeability of the glauconite sandstone reservoir is: PERM = a·e (b·POR+c·GR+d·PEF) Wherein, a, b, c, and d are all constants, POR is the porosity, GR is the natural gamma ray, and PEF is the photoelectric absorption cross-section index.

8. The logging interpretation device for the permeability of glauconite sandstone reservoir according to claim 7, characterized in that, The device further includes a natural gamma ray GR normalization module, which is located between the extraction module and the permeability module, and is used to perform normalization processing on the natural gamma ray GR extracted by the extraction module and send the normalized data to the permeability module. The normalization processing formula is: GR GA and GR SA respectively represent the typical value or average value of glauconitic sandstone and adjacent conventional sandstone in each actual well, with the unit of API, and the values are taken for each well respectively.

9. The logging interpretation device for the permeability of glauconitic sandstone reservoir according to claim 7 or 8, characterized in that The device further includes a photoelectric absorption cross-section index PEF normalization module, which is located between the extraction module and the permeability module, and is used to perform normalization processing on the photoelectric absorption cross-section index PEF extracted by the extraction module and send the normalized data to the permeability module. The normalization processing formula is: PEF GA and PEF SA represent the typical or average values of PEF of glauconitic sandstone and adjacent conventional sandstone in each actual well, respectively, with the unit of barns / electron volt, and the values are taken for each well separately.

10. The logging interpretation device for the permeability of glauconitic sandstone reservoir according to claim 6, characterized in that, The four constants a, b, c, and d can be determined by the sample experimental measurement data of the core hole.

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