Clastic rock hydrogen-rich reservoir logging identification method, system, equipment and medium

Abstract

The invention is suitable for the field of oil and gas field exploration and development, and discloses a clastic rock hydrogen-rich reservoir logging identification method, system, equipment and medium, and the method comprises the steps: identifying an oil and gas reservoir in a clastic rock reservoir according to the difference of conductivity of fluid of the clastic rock reservoir; identifying a gas reservoir in the clastic rock reservoir according to the difference of the influence of oil and gas in the oil and gas reservoir on the elastic modulus of the stratum; and recognizing the hydrogen-rich reservoir according to the gas density difference in the gas reservoir and the difference of the gas occurrence environment. According to the technical scheme, the hydrogen-rich reservoir in the clastic rock reservoir is identified by comprehensively utilizing well logging methods such as depth and depth resistivity well logging, density well logging, neutron well logging, acoustic well logging and natural gamma-ray spectrum well logging, and the effectiveness and accuracy of hydrogen-rich reservoir identification are improved.

Description

Technical Field

[0001] The present invention relates to the field of oil and gas field exploration and development, and in particular to a method, system, equipment and medium for well logging identification of hydrogen-rich reservoirs in clastic rocks. Background Art

[0002] In the context of global energy decarbonization, the global energy structure is transitioning from fossil energy to non-fossil energy. Hydrogen, as a clean, efficient, zero-emission new energy source, has attracted attention from many countries in the world. Natural hydrogen is hydrogen generated in underground geological processes. Under certain geological conditions, the hydrogen is generated, transported, and enriched in underground rock formations to form natural hydrogen reservoirs. The development and utilization of natural hydrogen has attracted attention from countries around the world in the past decade. As natural hydrogen has received more and more attention and related exploration work has been carried out, research on related exploration technologies and methods has also been carried out.

[0003] However, the formation mechanism and occurrence environment of hydrogen-rich reservoirs are significantly different from those of oil and gas reservoirs. The logging identification methods and evaluation factors of hydrogen-rich reservoirs are also necessarily different. Difficulties are encountered when using existing logging methods to evaluate hydrogen-rich reservoirs. The main reasons are:

[0004] (1) From the perspective of conductivity, hydrogen and oil or natural gas are both high-resistance media that are similar to insulators and are difficult to distinguish from each other in terms of conductivity;

[0005] (2) The volume density and hydrogen content of hydrogen and natural gas are similar, so it is not easy to identify them using density logging or neutron logging alone;

[0006] (3) Hydrogen and natural gas are both in gaseous state and their effects on rock elastic parameters are almost the same.

[0007] From the above, it can be seen that it is relatively difficult to identify hydrogen-rich reservoirs using the current conventional logging method for identifying oil and gas layers. In view of the problems encountered in the exploration of natural hydrogen reservoirs, it is necessary to develop a hydrogen-rich reservoir logging identification method. Summary of the invention

[0008] To solve the above problems, the present invention provides a method, system, equipment and medium for identifying hydrogen-rich reservoirs in clastic rocks by logging, which comprehensively utilizes logging methods such as deep and shallow resistivity logging, density logging, neutron logging, acoustic logging, and natural gamma ray spectrum logging to identify hydrogen-rich reservoirs in clastic rock reservoirs, thereby improving the effectiveness and accuracy of hydrogen-rich reservoir identification.

[0009] To achieve the above object, the present invention adopts the following technical solution:

[0010] In a first aspect, the present invention provides a method for well logging identification of hydrogen-rich reservoirs in clastic rocks, comprising:

[0011] Based on the difference in electrical conductivity of the fluid in the clastic reservoir, the oil and gas reservoirs in the clastic reservoir are identified;

[0012] Based on the difference in the effect of oil and gas on the elastic modulus of the formation, the gas reservoir in the clastic reservoir is identified;

[0013] Hydrogen-rich reservoirs are identified based on differences in gas density in gas reservoirs and differences in gas occurrence environments.

[0014] Furthermore, the oil and gas reservoirs in the clastic reservoirs are identified based on the difference in electrical conductivity of the fluid in the clastic reservoirs, including:

[0015] Determine apparent formation water resistivity based on formation resistivity and formation factors;

[0016] Oil and gas reservoirs in clastic rock reservoirs are identified based on apparent formation water resistivity.

[0017] Furthermore, the calculation formula of apparent formation water resistivity is:

[0018]

[0019] Among them, R wa is the apparent formation water resistivity; R t is the formation resistivity; F is the formation factor.

[0020] Furthermore, the calculation formula of the underlying factor is:

[0021]

[0022] Among them, F is the formation factor, φ is the porosity, a is the lithology coefficient, and m is the cementation index.

[0023] Furthermore, porosity can be calculated from density logging and neutron logging, including:

[0024] Density porosity is obtained through density logging calculation;

[0025] Neutron porosity is obtained through neutron logging calculation;

[0026] The porosity was determined as the average of the density porosity and the neutron porosity.

[0027] Furthermore, based on the difference in the effect of oil and gas on the elastic modulus of the formation in the oil and gas reservoir, the gas reservoir in the clastic reservoir is identified, including:

[0028] Calculate the actual formation compression coefficient of oil and gas reservoirs and the saturated water formation compression coefficient;

[0029] Based on the relationship between the actual formation compression coefficient and the saturated water formation compression coefficient, the gas reservoir in the clastic rock reservoir is identified.

[0030] Furthermore, based on the differences in gas density in the gas reservoir and the differences in the gas storage environment, hydrogen-rich reservoirs are identified, including:

[0031] The gas density in the gas reservoir is obtained through neutron logging and density logging calculations;

[0032] The total intensity of natural gamma rays in the gas-bearing environment is measured by natural gamma ray spectrum logging method;

[0033] According to the ratio of the content of radioactive elements in the clastic rock reservoir, the ratio of the intensity of natural gamma rays produced by the corresponding radioactive elements is determined;

[0034] Hydrogen-rich reservoirs are identified based on the ratio of the gas density in the gas reservoir to the intensity of natural gamma rays produced by radioactive elements.

[0035] In a second aspect, the present invention further provides a clastic rock hydrogen-rich reservoir logging identification system, comprising:

[0036] The first identification module is used to identify the oil and gas reservoir in the clastic reservoir according to the difference in electrical conductivity of the fluid in the clastic reservoir;

[0037] The second identification module is used to identify the gas reservoir in the clastic rock reservoir according to the difference in the influence of oil and gas in the oil and gas reservoir on the formation elastic modulus;

[0038] The third identification module is used to identify the hydrogen-rich reservoir according to the difference in gas density in the gas reservoir and the difference in the gas occurrence environment.

[0039] In a third aspect, the present invention further provides an electronic device, comprising: a processor and a memory;

[0040] The processor is coupled to the memory;

[0041] The processor is used to read and execute the program or instructions stored in the memory, so that the device executes the method of the first aspect.

[0042] In a fourth aspect, the present invention further provides a computer-readable storage medium storing a computer program, which implements the method of the first aspect when executed by a processor.

[0043] In summary, the technical solution provided by the present invention has at least the following technical effects or advantages:

[0044] The technical solution of the present invention first identifies oil, natural gas, and hydrogen layers based on the difference in conductivity between oil, natural gas, hydrogen, and formation water by using the apparent resistivity of formation water, and then identifies natural gas and hydrogen reservoirs based on the different effects of natural gas or hydrogen and oil on the elastic modulus of the formation by using the formation compression coefficient; finally, the gas density is calculated using density logging, neutron logging, and residual oil and gas saturation in the flushing zone, and the thorium-uranium ratio is calculated using natural gamma ray spectrum logging to identify the redox environment, and the hydrogen-rich reservoir is identified based on the difference in density between hydrogen and natural gas combined with the different redox environments in which they are stored. The technical solution of the present invention comprehensively utilizes logging methods such as deep and shallow resistivity logging, density logging, neutron logging, acoustic logging, and natural gamma ray spectrum logging to identify hydrogen-rich reservoirs in clastic rock reservoirs, thereby improving the effectiveness and accuracy of hydrogen-rich reservoir identification.

[0045] Other features and advantages of the present disclosure will be described in the following description, and partly become apparent from the description, or be understood by implementing the present disclosure. The purpose and other advantages of the present disclosure can be realized and obtained by the structures pointed out in the description, claims and drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] In order to more clearly illustrate the embodiments of the present disclosure or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present disclosure. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0047] Figure 1 It is a schematic diagram of the process of a well logging identification method for clastic hydrogen-rich reservoirs in an embodiment of the present disclosure;

[0048] Figure 2 It is a further schematic diagram of a process of a well logging identification method for clastic hydrogen-rich reservoirs in an embodiment of the present invention;

[0049] Figure 3 It is a gas layer intersection plate for identifying the gas layer according to the formation water resistivity and compressibility in the embodiment of the present disclosure;

[0050] Figure 4 Determine the oil and gas density plate for the neutron porosity to density porosity ratio and the residual oil and gas saturation in the embodiments of the present disclosure;

[0051] Figure 5 A cross-plot of gas density and identification of hydrogen-rich reservoirs in the embodiment of the present disclosure;

[0052] Figure 6 The schematic diagram of the well logging identification and evaluation results and verification of the hydrogen-rich reservoir in a typical well in the embodiment of the present disclosure;

[0053] Figure 7 It is a structural schematic diagram of a well logging identification system for clastic hydrogen-rich reservoirs in an embodiment of the present disclosure;

[0054] Figure 8 A schematic diagram of the structure of an electronic device provided in an embodiment of the present disclosure. DETAILED DESCRIPTION

[0055] In order to make the purpose, technical solution and advantages of the embodiments of the present disclosure clearer, the technical solution in the embodiments of the present disclosure will be clearly and completely described below in conjunction with the drawings in the embodiments of the present disclosure. Obviously, the described embodiments are part of the embodiments of the present disclosure, not all of the embodiments. Based on the embodiments in the present disclosure, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present disclosure.

[0056] Geophysical logging technology is a common method for classifying reservoir types, obtaining reservoir parameters, and identifying fluid properties. Reservoir fluid logging identification is mainly for water, oil, and natural gas. The reason why geophysical logging can identify the properties of reservoir fluids is mainly due to the differences between the physical properties of oil, gas, and water, whether these differences can be effectively observed, and the influence of reservoir lithology and pore structure. For oil and water in the reservoir, the most obvious difference in their physical properties is conductivity. Although pure water is a weak insulator and its conductivity is not strong, natural water generally contains certain salts, its conductivity is strong, and its resistivity is very low compared to oil and gas. Therefore, resistivity logging can be used to distinguish and identify oil and gas layers and water layers. Drawing intersection diagrams based on the logging data of the tested reservoir (oil layer, water layer) to identify reservoir fluids is a qualitative identification method of reservoir fluid properties by combining resistivity logging data with lithology pore logging data to draw intersection diagrams. The lateral resistivity difference method is also a commonly used method for identifying reservoir fluid properties. It uses the resistivity difference caused by the different effects of the invasion zone on the resistivity logging at different lateral detection depths to identify fluid properties. The method of calculating water saturation based on the Archie formula to identify reservoir fluid properties is to obtain water (oil and gas) saturation based on the relationship between resistivity, porosity and saturation established by the Archie formula, and use the volume size of different types of fluids to identify oil, gas and water layers.

[0057] The present invention provides a method, system, equipment and medium for identifying hydrogen-rich reservoirs in clastic rocks by logging, which comprehensively utilizes logging methods such as deep and shallow resistivity logging, density logging, neutron logging, and natural gamma ray spectrum logging to identify hydrogen-rich reservoirs in clastic rock reservoirs, thereby improving the effectiveness and accuracy of hydrogen-rich reservoir identification.

[0058] Figure 1 : is a schematic diagram of a flow chart of a method for identifying hydrogen-rich reservoirs in clastic rocks according to an embodiment of the present invention. Figure 2 This is a further flow chart of a method for identifying hydrogen-rich reservoirs in clastic rocks by logging in an embodiment of the present invention. As shown in the figure, the method includes:

[0059] S101, identifying oil and gas reservoirs in the clastic reservoir according to the difference in electrical conductivity of the fluid in the clastic reservoir;

[0060] The apparent formation water resistivity is determined based on the formation resistivity and formation factors; the oil and gas reservoirs in the clastic rock reservoirs are identified based on the apparent formation water resistivity.

[0061] Exemplarily, the fluid types in the clastic reservoir include: oil, natural gas, hydrogen and formation water, etc. The properties of the reservoir fluid are identified based on the physical properties of oil, gas and water, and then the type of the reservoir is identified.

[0062] Based on the difference in conductivity of clastic reservoir fluids, oil and gas reservoirs (oil, natural gas, hydrogen reservoirs) in clastic reservoirs can be identified. The fluid types in the reservoir are divided into oil, water, natural gas, and hydrogen. The most obvious physical property of oil and gas is conductivity, so the apparent formation water resistivity can be used to identify oil and gas reservoirs. The calculation formula for the apparent formation water resistivity is:

[0063]

[0064] Among them, R wa is the apparent formation water resistivity; R t is the formation resistivity, which can be obtained through deep lateral logging or deep induction logging; F is the formation factor.

[0065] The calculation formula of the underlying factor is:

[0066]

[0067] Among them, F is the formation factor, φ is the porosity, a is the lithology coefficient, and m is the cementation index, which can be obtained through rock electrical experiments.

[0068] Porosity φ can be calculated from density logging and neutron logging, including:

[0069] Density porosity is obtained through density logging calculation;

[0070] Neutron porosity is obtained through neutron logging calculation;

[0071] The porosity was determined as the average of the density porosity and the neutron porosity.

[0072] The formula for calculating neutron porosity is:

[0073] φ N =(Φ N -Φ Nma) / (Φ Nf -Φ Nma )-V sh (Φ Nsh -Φ Nma ) / (Φ Nf -Φ Nma ) (3)

[0074] The formula for calculating density porosity is:

[0075] φ D =(ρ b -ρ ma ) / (ρ f -ρ ma )-V sh (ρ sh -ρ ma ) / (ρ f -ρ ma ) (4)

[0076] Among them, V sh is the mud content, which can be obtained by natural gamma or natural potential logging, Φ N is the apparent porosity of neutron logging, Φ Nma is the skeleton neutron response value, Φ Nsh is the neutron response value of mud, Φ Nf is the neutron response value of the mud filtrate, ρ ma is the rock skeleton density, ρ f is the density of the mud filtrate, ρ b is the apparent bulk density of density logging, ρ sh Density of mud.

[0077] In order to minimize the influence of residual gas that may exist in the formation invasion zone on the density logging and neutron logging on the porosity calculation results, the effective porosity φ of clastic rock is taken as the average value of neutron porosity and density porosity, and the formula is:

[0078]

[0079] in, is the neutron porosity, is the density porosity.

[0080] Assume that the upper limit of apparent formation water resistivity of the water layer is R w0 , the formula for identifying oil and gas (natural gas, hydrogen) reservoirs is:

[0081] R wa >R w0 (6)

[0082] That is, the reservoir whose apparent formation water resistivity is greater than the upper limit of the apparent formation water resistivity of the water layer is identified as an oil and gas reservoir in the clastic rock reservoir.

[0083] S102, identifying a gas reservoir in a clastic rock reservoir according to differences in the effects of oil and gas in the oil and gas reservoir on the formation elastic modulus;

[0084] The actual formation compression coefficient and the saturated water formation compression coefficient of the oil and gas reservoir are calculated; based on the relationship between the actual formation compression coefficient and the saturated water formation compression coefficient, the gas reservoir in the clastic rock reservoir is identified.

[0085] This is exemplary. Since the compressibility coefficient of gas is very different from that of liquid oil or water, the compressibility coefficient of rock in the reservoir is sensitive to changes in gas saturation. Therefore, gas reservoirs in clastic rock reservoirs can be identified based on the relationship between the actual compression coefficient of the formation and the apparent water-saturated formation compression coefficient.

[0086] The calculation formula of the actual formation compression coefficient is:

[0087]

[0088] Among them, C t is the formation compression coefficient; ρ b is the rock density, which can be obtained by using compensated density logging; v p 、v s They are the longitudinal and shear wave velocities, respectively, and can be obtained using array acoustic logging or long-space acoustic logging.

[0089] Apparent water-saturated formation compression coefficient C sat The calculation formula is:

[0090]

[0091] Where: K ma is the bulk modulus of the skeleton matrix, which can be obtained based on the lithological data; K w is the bulk modulus of formation water; φ is the porosity.

[0092] According to the relationship between the actual formation compression coefficient and the saturated water formation compression coefficient, combined with the apparent formation water resistivity, the formula for identifying gas (natural gas, hydrogen) reservoirs is:

[0093]

[0094] That is, a reservoir whose actual formation compression coefficient is greater than the saturated water formation compression coefficient and whose apparent formation water resistivity is greater than the upper limit of the apparent formation water resistivity of the water layer is identified as a gas reservoir in the clastic rock reservoir.

[0095] According to formula (9), it can also be converted into a plate method, using the intersection map plate to identify gas reservoirs in clastic reservoirs (such as Figure 3 shown).

[0096] S103. Identify hydrogen-rich reservoirs based on differences in gas density in the gas reservoirs and differences in gas storage environments.

[0097] The gas density in the gas reservoir is obtained through neutron logging and density logging calculations; the total intensity of natural gamma rays in the gas storage environment is measured through natural gamma spectrum logging method; based on the ratio of the content of radioactive elements in the clastic rock reservoir, the ratio of the intensity of natural gamma rays produced by the corresponding radioactive elements is determined; based on the ratio of the gas density in the gas reservoir and the intensity of natural gamma rays produced by the radioactive elements, the hydrogen-rich reservoir is identified.

[0098] For example, from the perspective of density, the density of natural gas is greater than that of hydrogen. From the perspective of the storage environment, hydrogen has strong redox properties, and its storage environment belongs to a strong redox environment. Therefore, based on the above steps to identify the gas reservoir in the clastic reservoir, the hydrogen-rich reservoir is identified based on the difference in gas (natural gas, hydrogen) density in the gas reservoir and the difference in the gas storage environment. Gas density ρ g The calculation method of Frost E (1979) is used to obtain the value through neutron logging and density logging. The formula is:

[0099]

[0100] Among them, S hr The residual oil and gas (natural gas or hydrogen) saturation can be measured by the resistivity R xo , calculated using Archie's formula, the calculation formula is:

[0101]

[0102] Among them, b and n are both rock electrical parameters, which can be obtained by rock electrical experiments; a is the additional conductivity correction coefficient of lithology, and its value is closely related to the mud composition, content and distribution form of the target layer; R mf is the formation water resistivity, Ω.m; φ is the porosity of the target layer, a decimal; m is the porosity index (cementation index), which is a measure of the pore tortuosity caused by the rock skeleton and pores. The higher the pore tortuosity, the larger the m value.

[0103] According to formula (10), it can also be converted into the plate method, and the gas density (such as Figure 4 shown).

[0104] The natural gamma ray spectrum logging can be used to identify the gas occurrence environment, that is, the gas redox environment. The natural gamma ray spectrum logging can be used to measure the uranium series (U), thorium series (Th) and 40The intensity of gamma rays produced by radioactive elements such as K and the sum of the intensities of natural gamma rays produced by all radioactive elements in the formation. In an oxidizing environment, low-valent uranium is easily oxidized to a high-valent state and forms complex ions that dissolve in water. Therefore, the uranium content in an oxidizing environment is low and the gamma rays produced are also low. The content of thorium elements in clastic rocks is relatively stable, so the thorium-to-uranium ratio (Th / U) is relatively high in hydrogen-rich reservoirs, and the thorium-to-uranium ratio (Th / U) can be used to identify hydrogen-rich gas layers.

[0105] Assuming that the intensities of gamma rays produced by uranium (U) and thorium (Th) are U and Th respectively, their ratio is:

[0106] P=Th / U (12)

[0107] Assume that the minimum limit of the thorium-uranium ratio of the hydrogen-rich gas layer is P0, and the maximum limit of the gas density is ρ g0 , then combined with the gas density, the relationship for identifying hydrogen-rich reservoirs is:

[0108]

[0109] That is, on the basis of identifying the gas reservoir in the clastic rock reservoir, the reservoir whose ratio of the intensity of gamma rays produced by uranium (U) and thorium (Th) is greater than the minimum limit of the thorium-uranium ratio of the hydrogen-rich gas layer and whose gas density is less than the maximum limit of the gas-containing density is identified as a hydrogen-rich reservoir.

[0110] According to formula (13), it can also be converted into a plate method, and the intersection map plate method can be used to identify hydrogen-rich reservoirs (such as Figure 5 shown).

[0111] The effectiveness of the above-mentioned logging identification method for hydrogen-rich reservoirs in clastic rocks is further illustrated by combining specific examples. Figure 6 This is a verification diagram of the evaluation results of hydrogen-rich reservoirs in a well in the Qaidam Basin. As shown in the figure, the logging data of the well include compensated neutron, compensated density, acoustic time difference, wellbore, natural potential, natural gamma, microresistivity, seven lateral directions of depth and shallowness, natural gamma spectrum logging and long source distance acoustic full wave logging data, in addition to logging data and gas testing data. The technical solution adopted by the present invention is used for processing:

[0112] (1) The effective porosity of the formation was calculated using density logging and neutron logging;

[0113] (2) Residual oil and gas saturation was calculated using microresistivity logging and effective porosity;

[0114] (3) The apparent formation water resistivity was calculated using deep lateral resistivity and effective porosity;

[0115] (4) The P- and S-wave velocities of the formation were obtained using the long-source-distance full-wave logging data, and the formation compression coefficient was obtained based on the P- and S-wave velocities. The apparent water-saturated formation compression coefficient was then calculated using the lithology skeleton bulk modulus and the water bulk modulus.

[0116] (5) The uranium-to-thorium ratio was calculated using natural gamma ray spectroscopy logging;

[0117] (6) The gas density was calculated using density porosity, neutron porosity and residual oil and gas saturation;

[0118] (7) The uranium-thorium ratio was calculated using natural gamma ray spectroscopy logging;

[0119] (8) Four gas layers 1, 2, 3, and 4 were identified using apparent formation water resistivity, formation compressibility modulus, and apparent saturated water formation compressibility modulus;

[0120] (9) Using gas density and uranium-thorium ratio, we identified layers 3 and 4 as hydrogen-rich layers. ⑩ Gas testing confirmed that layers 3 and 4 were hydrogen-rich layers.

[0121] In summary, the technical solution provided by the present invention has at least the following technical effects or advantages:

[0122] The technical solution of the present invention first identifies oil, natural gas, and hydrogen layers based on the difference in conductivity between oil, natural gas, hydrogen, and formation water by using the apparent resistivity of formation water, and then identifies natural gas and hydrogen reservoirs based on the different effects of natural gas or hydrogen and oil on the elastic modulus of the formation by using the formation compression coefficient; finally, the gas density is calculated using density logging, neutron logging, and residual oil and gas saturation in the flushing zone, and the thorium-uranium ratio is calculated using natural gamma ray spectrum logging to identify the redox environment, and the hydrogen-rich reservoir is identified based on the difference in density between hydrogen and natural gas combined with the different redox environments in which they are stored. The technical solution of the present invention comprehensively utilizes logging methods such as deep and shallow resistivity logging, density logging, neutron logging, acoustic logging, and natural gamma ray spectrum logging to identify hydrogen-rich reservoirs in clastic rock reservoirs, thereby improving the effectiveness and accuracy of hydrogen-rich reservoir identification.

[0123] Figure 7 This is a structural schematic diagram of a clastic rock hydrogen-rich reservoir logging identification system provided in an embodiment of the present disclosure. As shown in the figure, the system includes:

[0124] The first identification module is used to identify the oil and gas reservoir in the clastic reservoir according to the difference in electrical conductivity of the fluid in the clastic reservoir;

[0125] The second identification module is used to identify the gas reservoir in the clastic rock reservoir according to the difference in the influence of oil and gas in the oil and gas reservoir on the formation elastic modulus;

[0126] The third identification module is used to identify the hydrogen-rich reservoir according to the difference in gas density in the gas reservoir and the difference in the gas occurrence environment.

[0127] It should be noted that, for the sake of convenience, Figure 7 For example, only the main modules of the clastic hydrogen-rich reservoir logging identification system structure are shown. In practical applications, the system may also include modules or components not shown in the figure; the system is not limited to the above module structure, and may also be other module structures that implement the above method embodiments.

[0128] Figure 8 A schematic diagram of the structure of an electronic device provided in an embodiment of the present disclosure.

[0129] like Figure 8 As shown, the electronic device includes: a processor and a memory;

[0130] The processor is used to read and execute programs and instructions stored in the memory, so that the electronic device executes the above method embodiment.

[0131] It should be noted that, for the sake of convenience, Figure 8 Only the main components of the electronic device are shown. In practical applications, the electronic device may also include components or assemblies not shown in the figure.

[0132] The present disclosure also provides a computer-readable storage medium storing a program or instruction. When a computer reads and executes the program or instruction, the computer executes the above method embodiment.

[0133] Although the present disclosure has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present disclosure.

Claims

1. A method for identifying hydrogen-rich reservoirs in clastic rocks through logging, characterized in that: include: Based on the difference in electrical conductivity of the fluid in the clastic reservoir, the oil and gas reservoirs in the clastic reservoir are identified; Based on the difference in the effect of oil and gas on the elastic modulus of the formation, the gas reservoir in the clastic reservoir is identified; Hydrogen-rich reservoirs are identified based on differences in gas density in gas reservoirs and differences in gas occurrence environments.

2. The method for identifying hydrogen-rich reservoirs in clastic rocks by logging according to claim 1, characterized in that: The method of identifying the oil and gas reservoir in the clastic reservoir according to the difference in electrical conductivity of the clastic reservoir fluid comprises: Determine apparent formation water resistivity based on formation resistivity and formation factors; Oil and gas reservoirs in clastic rock reservoirs are identified based on apparent formation water resistivity.

3. The method for identifying hydrogen-rich reservoirs in clastic rocks by logging according to claim 2, characterized in that: The calculation formula of the apparent formation water resistivity is: Among them, R wa is the apparent formation water resistivity; R t is the formation resistivity; F is the formation factor.

4. The method for identifying hydrogen-rich reservoirs in clastic rocks by logging according to claim 2, characterized in that: The calculation formula of the underlying factor is: Among them, F is the formation factor, φ is the porosity, a is the lithology coefficient, and m is the cementation index.

5. The method for identifying hydrogen-rich reservoirs in clastic rocks by logging according to claim 4, characterized in that: The porosity can be calculated by density logging and neutron logging, including: Density porosity is obtained through density logging calculation; Neutron porosity is obtained through neutron logging calculation; The average value of the density porosity and the neutron porosity is determined as the porosity.

6. The method for identifying hydrogen-rich reservoirs in clastic rocks by logging according to claim 1, characterized in that: The method of identifying a gas reservoir in a clastic rock reservoir based on the difference in the effect of oil and gas in the oil and gas reservoir on the elastic modulus of the formation comprises: Calculate the actual formation compression coefficient of oil and gas reservoirs and the saturated water formation compression coefficient; Based on the relationship between the actual formation compression coefficient and the saturated water formation compression coefficient, the gas reservoir in the clastic rock reservoir is identified.

7. The method for identifying hydrogen-rich reservoirs in clastic rocks by logging according to claim 1, characterized in that: The method of identifying the hydrogen-rich reservoir according to the difference in gas density in the gas reservoir and the difference in the gas storage environment includes: The gas density in the gas reservoir is obtained through neutron logging and density logging calculations; The total intensity of natural gamma rays in the gas-bearing environment is measured by natural gamma ray spectrum logging method; According to the ratio of the content of radioactive elements in the clastic rock reservoir, the ratio of the intensity of natural gamma rays produced by the corresponding radioactive elements is determined; The hydrogen-rich reservoir is identified based on the ratio of the gas density in the gas reservoir and the intensity of the natural gamma rays produced by the radioactive elements.

8. A clastic rock hydrogen-rich reservoir logging identification system, characterized in that: include: The first identification module is used to identify the oil and gas reservoir in the clastic reservoir according to the difference in electrical conductivity of the fluid in the clastic reservoir; The second identification module is used to identify the gas reservoir in the clastic rock reservoir according to the difference in the influence of oil and gas in the oil and gas reservoir on the formation elastic modulus; The third identification module is used to identify the hydrogen-rich reservoir according to the difference in gas density in the gas reservoir and the difference in the gas occurrence environment.

9. An electronic device, characterized in that: include: Processor and memory; The processor is coupled to the memory; The processor is used to read and execute the program or instruction stored in the memory, so that the device executes the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: A computer program is stored, and when the program is executed by a processor, the method according to any one of claims 1 to 7 is implemented.

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