Natural hydrogen reservoir evaluation method, device, equipment and medium

Abstract

The embodiment of the invention discloses a natural hydrogen reservoir evaluation method and device, equipment and a medium. The method comprises the following steps: acquiring hydrogen source associated data of a to-be-evaluated zone; the hydrogen source associated data comprises at least one of the following items: first hydrogen source rock area data, second hydrogen source rock area data, rock type and rock thickness of an upper covering layer of the to-be-evaluated zone, depth data of a target layer of the to-be-evaluated zone and seismic exploration type of the to-be-evaluated zone; generating an effective coefficient of the to-be-evaluated zone according to the hydrogen source associated data; the effective coefficient reflects the hydrogen-containing potential of the zone to be evaluated; and determining an exploration potential assessment result of the natural hydrogen reservoir of the to-be-assessed zone according to the effective coefficient of the to-be-assessed zone. According to the technical scheme, the effective coefficient reflecting the hydrogen-containing potential of the to-be-evaluated zone is determined through the hydrogen source associated data, the evaluation result is determined according to the effective coefficient of the to-be-evaluated zone, the exploration potential of the natural hydrogen-rich reservoir is quantified, and support is provided for exploration of the natural hydrogen reservoir.

Description

Technical Field

[0001] This invention relates to the field of natural gas reservoir exploration technology, and in particular to an assessment method, apparatus, equipment and medium for natural hydrogen reservoirs. Background Technology

[0002] Hydrogen is a green and carbon-free new energy source with characteristics such as being pollution-free, having a high energy conversion rate, and being widely distributed in nature. It plays an irreplaceable role in achieving carbon neutrality.

[0003] Favorable zones for natural hydrogen-rich gas reservoirs refer to areas that have not yet been drilled but have been evaluated as having hydrogen-rich potential. These zones serve as the direct basis for screening the exploration potential of natural hydrogen-rich gas reservoirs and determining whether drilling efforts are worthwhile. For this emerging associated resource, how to quantitatively assess the exploration potential of favorable zones within natural hydrogen-rich gas reservoirs is a pressing technical problem that needs to be solved. Summary of the Invention

[0004] This invention provides a method, apparatus, equipment, and medium for evaluating natural hydrogen reservoirs, which can quantitatively assess the exploration potential of natural hydrogen-rich reservoirs and provide support for subsequent exploration of natural hydrogen reservoirs.

[0005] According to one aspect of the present invention, a method for evaluating natural hydrogen reservoirs is provided, the method comprising:

[0006] Obtain hydrogen source correlation data for the area to be evaluated; the hydrogen source correlation data includes at least one of the following: area data of the first hydrogen source rock, area data of the second hydrogen source rock, rock type and rock thickness of the overlying layer of the area to be evaluated, depth data of the target layer of the area to be evaluated, and seismic exploration type of the area to be evaluated.

[0007] Based on the hydrogen source correlation data, an effective coefficient is generated for the zone to be evaluated; the effective coefficient reflects the hydrogen potential of the zone to be evaluated.

[0008] Based on the effective coefficient of the zone to be evaluated, the exploration potential assessment results of the natural hydrogen reservoir in the zone to be evaluated are determined.

[0009] According to another aspect of the present invention, an apparatus for evaluating natural hydrogen reservoirs is provided, comprising:

[0010] The hydrogen source association data acquisition module is used to acquire hydrogen source association data of the zone to be evaluated; the hydrogen source association data includes at least one of the following: first hydrogen source rock area data, second hydrogen source rock area data, rock type and rock thickness of the overlying layer of the zone to be evaluated, depth data of the target layer of the zone to be evaluated, and seismic exploration type of the zone to be evaluated.

[0011] An effective coefficient generation module is used to generate an effective coefficient for the zone to be evaluated based on the hydrogen source correlation data; the effective coefficient reflects the hydrogen-containing potential of the zone to be evaluated.

[0012] The exploration potential assessment module is used to determine the exploration potential assessment results of the natural hydrogen reservoirs in the area to be assessed based on the effective coefficient of the area to be assessed.

[0013] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising:

[0014] At least one processor; and

[0015] A memory communicatively connected to the at least one processor; wherein,

[0016] The memory stores a computer program that can be executed by the at least one processor, which enables the at least one processor to perform the evaluation method for natural hydrogen reservoirs according to any embodiment of the present invention.

[0017] According to another aspect of the present invention, a computer-readable storage medium is provided, the computer-readable storage medium storing computer instructions for causing a processor to execute and implement the method for evaluating natural hydrogen reservoirs according to any embodiment of the present invention.

[0018] The technical solution of this application includes: acquiring hydrogen source correlation data for the area to be evaluated; the hydrogen source correlation data includes at least one of the following: area data of a first hydrogen source rock, area data of a second hydrogen source rock, rock type and thickness of the overlying layer of the area to be evaluated, depth data of the target layer of the area to be evaluated, and seismic exploration type of the area to be evaluated; generating an effective coefficient for the area to be evaluated based on the hydrogen source correlation data; the effective coefficient reflects the hydrogen-bearing potential of the area to be evaluated; and determining the exploration potential assessment result of the natural hydrogen reservoir in the area to be evaluated based on the effective coefficient. This technical solution determines an effective coefficient reflecting the hydrogen-bearing potential of the area to be evaluated through hydrogen source correlation data, and then determines the assessment result based on the effective coefficient, quantifying the exploration potential of natural hydrogen-rich reservoirs and providing support for subsequent exploration of natural hydrogen reservoirs.

[0019] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of the present invention, nor is it intended to limit the scope of the invention. Other features of the invention will become readily apparent from the following description. Attached Figure Description

[0020] To more clearly illustrate the technical solutions in the embodiments of this application, the drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0021] Figure 1 This is a flowchart of an evaluation method for a natural hydrogen reservoir according to Embodiment 1 of this application;

[0022] Figure 2 This is a flowchart of an evaluation method for a natural hydrogen reservoir according to Embodiment 2 of this application;

[0023] Figure 3 This is a schematic diagram of a first effective coefficient determination process according to Embodiment 2 of this application;

[0024] Figure 4 This is a schematic diagram of a second effective coefficient determination process provided according to Embodiment 2 of this application;

[0025] Figure 5 This is a schematic diagram of a third effective coefficient determination process according to Embodiment 2 of this application;

[0026] Figure 6 This is a schematic diagram of a fourth effective coefficient determination process according to Embodiment 2 of this application;

[0027] Figure 7 This is a schematic diagram of a fifth effective coefficient determination process according to Embodiment 2 of this application;

[0028] Figure 8 This is a schematic diagram of a pentagonal coordinate axis according to Embodiment 2 of this application;

[0029] Figure 9 This is a schematic diagram of the structure of an evaluation device for a natural hydrogen reservoir according to Embodiment 3 of this application;

[0030] Figure 10 This is a schematic diagram of an electronic device for implementing an evaluation method for a natural hydrogen reservoir according to an embodiment of this application. Detailed Implementation

[0031] To enable those skilled in the art to better understand the present invention, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0032] It should be noted that the terms "first," "second," "target," etc., used in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0033] Example 1

[0034] Figure 1 This application provides a flowchart of a method for evaluating natural hydrogen reservoirs, as shown in Embodiment 1. This embodiment is applicable to assessing the exploration potential of natural hydrogen reservoirs. The method can be executed by an evaluation device for natural hydrogen reservoirs, which can be implemented in hardware and / or software and configured in an electronic device with data processing capabilities. Figure 1 As shown, the method includes:

[0035] S110, Obtain hydrogen source correlation data for the area to be evaluated; the hydrogen source correlation data includes at least one of the following: area data of the first hydrogen source rock, area data of the second hydrogen source rock, rock type and rock thickness of the overlying layer of the area to be evaluated, depth data of the target layer of the area to be evaluated, and seismic exploration type of the area to be evaluated.

[0036] The assessment zone is defined as a zone that may contain hydrogen reservoirs, and it is the zone where subsequent hydrogen exploration potential assessments will be conducted. Hydrogen source correlation data reflects the correlation data regarding whether the assessment zone contains hydrogen. Within this data, the first hydrogen source rock area data reflects the area distribution of different types of hydrogen source rocks; the second hydrogen source rock area data reflects the area distribution of different types of hydrogen source rocks and the distribution of faults within the hydrogen source rocks; the rock type and thickness of the overlying layer of the assessment zone reflect relevant data about the overlying layer; the seismic exploration type of the assessment zone reflects the type of seismic exploration data already conducted in the assessment zone, such as 3D or 2D seismic exploration; and the depth data of the target layer in the assessment zone represents the burial depth of the target layer in the assessment zone.

[0037] S120, Based on the hydrogen source correlation data, generate an effective coefficient for the zone to be evaluated; the effective coefficient reflects the hydrogen potential of the zone to be evaluated.

[0038] Among them, the effective coefficient of the zone to be evaluated reflects the hydrogen potential of the zone in different dimensions. For example, there are multiple effective coefficients, and each effective coefficient is generated based on different hydrogen source correlation data.

[0039] Specifically, in the hydrogen source association data, the first hydrogen source rock area data reflects the area distribution of different types of hydrogen source rocks. An effective coefficient can be determined based on the size of the overlapping area of ​​different hydrogen source rocks and the size of the total distribution area of ​​hydrogen source rocks.

[0040] The second hydrogen source rock area data reflects the area distribution of different types of hydrogen source rocks and the distribution of fractures in hydrogen source rocks. Since fractures are usually used as hydrogen conduction systems, an effective coefficient can be determined based on data such as fracture area.

[0041] The rock type and thickness of the overburden in the zone to be evaluated reflect relevant data of the overburden in the zone to be evaluated. Since the overburden reflects the hydrogen capping capacity, an effective coefficient can be determined based on this.

[0042] The seismic exploration type of the area to be evaluated reflects the type of seismic exploration data that has been carried out in the area to be evaluated. The accuracy of three-dimensional seismic exploration is greater than that of two-dimensional seismic exploration, and an effective coefficient can be determined accordingly.

[0043] The depth data of the target layer in the zone to be evaluated is the burial depth of the target layer in the zone to be evaluated. Based on this data, an effective coefficient can be determined.

[0044] S130, based on the effective coefficient of the zone to be evaluated, determine the exploration potential assessment results of the natural hydrogen reservoir in the zone to be evaluated.

[0045] Specifically, each zone to be evaluated can obtain multiple effective coefficients. Based on the effective coefficients corresponding to each zone, the zones to be evaluated can be sorted, thereby identifying the zones with the potential for natural hydrogen gas reservoir exploration among the different zones to be evaluated.

[0046] The technical solution of this application includes: acquiring hydrogen source correlation data for the area to be evaluated; the hydrogen source correlation data includes at least one of the following: area data of a first hydrogen source rock, area data of a second hydrogen source rock, rock type and thickness of the overlying layer of the area to be evaluated, depth data of the target layer of the area to be evaluated, and seismic exploration type of the area to be evaluated; generating an effective coefficient for the area to be evaluated based on the hydrogen source correlation data; the effective coefficient reflects the hydrogen-bearing potential of the area to be evaluated; and determining the exploration potential assessment result of the natural hydrogen reservoir in the area to be evaluated based on the effective coefficient. This technical solution determines an effective coefficient reflecting the hydrogen-bearing potential of the area to be evaluated through hydrogen source correlation data, and then determines the assessment result based on the effective coefficient, quantifying the exploration potential of natural hydrogen-rich reservoirs and providing support for subsequent exploration of natural hydrogen reservoirs.

[0047] Example 2

[0048] Figure 2 This is a flowchart of an evaluation method for a natural hydrogen reservoir provided in Embodiment 2 of this application. This embodiment is an optimization based on the above embodiment.

[0049] like Figure 2 As shown, the method in this embodiment of the application specifically includes the following steps:

[0050] S210, Obtain hydrogen source correlation data for the area to be evaluated; the hydrogen source correlation data includes: area data of the first hydrogen source rock, area data of the second hydrogen source rock, rock type and thickness of the overlying layer of the area to be evaluated, depth data of the target layer of the area to be evaluated, and seismic exploration type of the area to be evaluated.

[0051] S220, Based on the hydrogen source correlation data, generate an effective coefficient for the zone to be evaluated; the effective coefficient reflects the hydrogen-containing potential of the zone to be evaluated.

[0052] Specifically, in this embodiment, there are five effective coefficients: a first effective coefficient, a second effective coefficient, a third effective coefficient, a fourth effective coefficient, and a fifth effective coefficient; the first effective coefficient is determined according to the following:

[0053] In this embodiment of the application, optionally, the first hydrogen source rock area data includes: the area of ​​the iron-rich craton basement, the area of ​​uranium-bearing rocks, and the area of ​​ultramafic rocks; correspondingly, based on the hydrogen source correlation data, an effective coefficient for the zone to be evaluated is generated, including: determining a first effective coefficient based on the ratio of the overlapping area of ​​hydrogen source rocks to the total distribution area of ​​hydrogen source rocks; the overlapping area of ​​hydrogen source rocks is the overlapping area of ​​the iron-rich craton basement, uranium-bearing rocks, and ultramafic rocks; the total distribution area of ​​hydrogen source rocks is the total distribution area of ​​the iron-rich craton basement, uranium-bearing rocks, and ultramafic rocks.

[0054] For example, the first effective coefficient can be H s The first effective coefficient, also known as the effective coefficient of natural hydrogen reservoir source rocks, represents the probability of the existence of hydrogen-generating source rocks. Hydrogen source rocks include three types: iron-rich cratonic basement, uranium-bearing rocks, and ultramafic rocks. The distribution area of ​​these three types of rocks can be obtained by combining seismic and well logging methods. The first effective coefficient is determined according to the following formula:

[0055] H s =A s / A*N, where A is the total distribution area of ​​the iron-rich craton basement, uranium-bearing rocks, and ultramafic rocks, in km². 2 A s The area represents the overlap of the iron-rich craton basement, uranium-bearing rocks, and ultramafic rocks, expressed in km². 2 N is the first value. N is the first value used for normalization; in a specific example, N can be 10.

[0056] It should be noted that the total distribution area of ​​the iron-rich craton basement, uranium-bearing rocks, and ultramafic rocks reflects the total distribution area of ​​these three rock types. That is, if there are overlapping areas, the area of ​​the overlapping areas is only counted once. For example, the area of ​​the iron-rich craton basement is 10 km². 2 The area of ​​uranium-bearing rocks is 15 km². 2 The overlapping area of ​​the two is 5km. 2 The total distribution area of ​​the two is 20km. 2 .

[0057] For example, Figure 3 This is a schematic diagram illustrating the process of determining the first effective coefficient. In one embodiment, there are three zones to be evaluated: a, b, and c. Zone a is determined by a combination of seismic and well logging methods, showing the total distribution area A of hydrogen source rocks (including three types: iron-rich cratonic basement, uranium-bearing rocks, and ultramafic rocks). a 1800km 2 The overlapping area A of the iron-rich cratonic basement, uranium-bearing rocks, and ultramafic rocks in zone a. sa 360km 2 Then the first effective coefficient of zone a is defined as Hsa =A sa / A a *10=360 / 1800*10=2.0. The total distribution area A of hydrogen source rocks (including three types: iron-rich cratonic basement, uranium-bearing rocks, and ultramafic rocks) in zone b, determined through a combination of seismic and well logging methods. b 1000km 2 The overlap area A of the iron-rich craton basement, uranium-bearing rocks, and ultramafic rocks in zone b. sb 90km 2 Then the first effective coefficient of the b-zone is defined as H. sb =A sb / A b *10=90 / 1000*10=0.9. The total distribution area A of hydrogen source rocks (including three types: iron-rich cratonic basement, uranium-bearing rocks, and ultramafic rocks) in zone c was determined through a combination of seismic and well logging methods. c 1500km 2 The overlap area A of the iron-rich cratonic basement, uranium-bearing rocks, and ultramafic rocks in zone c. sc 360km 2 Then the first effective coefficient of the c-band is defined as H. sc =A sc / A c *10=360 / 1500*10=2.4.

[0058] The second effective coefficient is determined based on the following:

[0059] In this embodiment of the application, optionally, the second hydrogen source rock area data includes: the area of ​​the iron-rich craton basement, the area of ​​uranium-bearing rocks, the area of ​​ultramafic rocks, and the fracture area of ​​the overlapping portion of the iron-rich craton basement, uranium-bearing rocks, and ultramafic rocks; correspondingly, based on the hydrogen source correlation data, an effective coefficient for the zone to be evaluated is generated, including: determining a second effective coefficient based on the ratio of the fracture area of ​​the hydrogen source rock to the overlapping area of ​​the hydrogen source rock; the fracture area of ​​the hydrogen source rock is the fracture area of ​​the overlapping portion of the iron-rich craton basement, uranium-bearing rocks, and ultramafic rocks; the overlapping area of ​​the hydrogen source rock is the overlapping area of ​​the iron-rich craton basement, uranium-bearing rocks, and ultramafic rocks.

[0060] For example, the second effective coefficient can be H m This can also be called the effective coefficient of the natural hydrogen reservoir's transport system. The second effective coefficient represents the probability that a hydrogen transport system exists in the area where the natural hydrogen reservoir is located. The transport system of a natural hydrogen reservoir is a fault, which can be identified through seismic profiles and a planar distribution map of the faults can be drawn. The second effective coefficient is determined according to the following formula:

[0061] H m =Nf / A s *N, where N f The fracture area represents the overlapping portion of the iron-rich craton basement, uranium-bearing rocks, and ultramafic rocks, expressed in km². 2 A s The area represents the overlap of iron-rich craton basement, uranium-bearing rocks, and ultramafic rocks, expressed in km². 2 N is the first value. For example, N is used to normalize the second effective coefficient; in a specific example, N could be 10.

[0062] For example, Figure 4 This is a schematic diagram illustrating the process of determining the second effective coefficient. Figure 4 There are three zones to be evaluated: a, b, and c. Faults can be identified using seismic profiles, and a fault planar distribution map of zone a can be drawn. The overlapping area A of the iron-rich cratonic basement, uranium-bearing rocks, and ultramafic rocks in zone a is also shown. sa 360km 2 The fault area N of the overlapping portion of the iron-rich cratonic basement, uranium-bearing rocks, and ultramafic rocks in zone a. fa 140km 2 Therefore, the second effective coefficient H of zone a ma For H ma =N fa / A sa *10=140 / 360*10=3.9. Faults can be identified through seismic profiles, and a fault planar distribution map of zone b can be drawn. The overlapping area A of the iron-rich cratonic basement, uranium-bearing rocks, and ultramafic rocks in zone b is... sb 90km 2 The fault area N of the overlapping portion of the iron-rich cratonic basement, uranium-bearing rocks, and ultramafic rocks in zone b. fb 45km 2 Therefore, the second effective coefficient H of the b-zone mb For H mb =N fb / A sb *10=45 / 90*10=5.0. Faults can be identified through seismic profiles, and a fault planar distribution map of zone c can be drawn. The overlapping area A of the iron-rich cratonic basement, uranium-bearing rocks, and ultramafic rocks in zone c is... sc 360km 2 The fault area N of the overlapping portion of the iron-rich cratonic basement, uranium-bearing rocks, and ultramafic rocks in zone c. fc 280km 2 Therefore, the second effective coefficient H of the c-zone mc For H mc =N fc / A sc*10=280 / 360*10=7.8.

[0063] The third effective coefficient can be determined based on the following:

[0064] In this embodiment of the application, optionally, the effective coefficient of the zone to be evaluated is generated based on the hydrogen source association data, including: if the seismic exploration type of the zone to be evaluated is a three-dimensional seismic type, then the third effective coefficient of the zone to be evaluated is determined to be the first value.

[0065] Otherwise, determine the third effective coefficient of the zone to be evaluated according to the following formula:

[0066] Ht = min{1 / X1, 1 / X2} * N;

[0067] Where Ht is the third effective coefficient, X1 is the minimum spacing of 2D seismic lines in the main survey line direction, X2 is the minimum spacing of 2D seismic lines in the connecting survey line direction, and N is the first value. For example, N is used to normalize the third effective coefficient; in a specific example, N can be 10.

[0068] For example, the third effective coefficient can be represented by Ht, also known as the effective coefficient of natural hydrogen reservoir traps. The third effective coefficient represents the probability that an effective trap exists in the area where the natural hydrogen reservoir zone is located. If the natural hydrogen reservoir zone is within the 3D seismic coverage area, then Ht = 10; if the natural hydrogen reservoir zone is within the 2D seismic coverage area, then Ht = min{1 / X1, 1 / X2} * 10, where X1 is the minimum spacing of 2D seismic lines in the main survey line direction, and X2 is the minimum spacing of 2D seismic lines in the connecting survey line direction. The value range of Ht is 0 to 10. Figure 5 As shown, in a certain embodiment, there are three zones to be evaluated: a, b, and c. Zone a is located in the 3D seismic coverage area, so Hta = 10.0. Zone b is located in the 2D seismic coverage area, where the minimum spacing X1 of the 2D seismic lines in the main seismic line direction is 2km, and the minimum spacing X2 of the 2D seismic lines in the connecting seismic line direction is 1.5km, so Htb = min{1 / X1, 1 / X2} * 10 = min{1 / 2, 1 / 1.5} * 10 = 5.0. Zone c is located in the 3D seismic coverage area, so Htc = 10.0.

[0069] The fourth effective coefficient can be determined based on the following:

[0070] In this embodiment of the application, optionally, generating an effective coefficient for the zone to be evaluated based on the hydrogen source correlation data includes: if the rock type of the overlying layer of the zone to be evaluated is rock salt, and the rock thickness is greater than or equal to a preset rock thickness threshold, then determining the fourth effective coefficient of the zone to be evaluated as the first value; if the rock type of the overlying layer of the zone to be evaluated is rock salt, and the rock thickness is less than a preset rock thickness threshold, then determining the fourth effective coefficient of the zone to be evaluated according to the following formula:

[0071] He = Te / M*N;

[0072] Where He is the fourth effective coefficient, Te is the rock thickness, M is the preset rock thickness threshold, and N is the first value. For example, M can be 50 meters and N can be 10.

[0073] For example, the fourth effective coefficient can be represented by He, also known as the effective coefficient of the caprock in a natural hydrogen reservoir. The fourth effective coefficient represents the probability that a trap within a natural hydrogen reservoir zone possesses effective hydrogen capping capability, meaning that a continuous and stable caprock exists over the hydrogen reservoir zone. Because hydrogen molecules are small and have strong diffusion capabilities, a thick layer of rock salt is required for effective capping. Therefore, when the overlying lithology of the natural hydrogen reservoir zone is rock salt and its thickness (Te) is greater than or equal to 50 m, He = 10; when the overlying lithology of the natural hydrogen reservoir zone is rock salt but its thickness (Te) is less than 50 m, He = Te / 50 * 10. Figure 6 As shown, in a certain embodiment, there are three zones to be evaluated: a, b, and c. In zone a, the overburden lithology is rock salt, with a maximum rock salt thickness (Tea) of 45 m. Therefore, Hea = Tea / 50 * 10 = 45 / 50 * 10 = 9.0. In zone b, the overburden lithology is rock salt, with a maximum rock salt thickness (Teb) of 60 m. Therefore, Heb = 10.0. In zone c, the overburden lithology is rock salt, with a maximum rock salt thickness (Tec) of 30 m. Therefore, Hec = Tec / 50 * 10 = 30 / 50 * 10 = 6.0.

[0074] The fifth effective coefficient can be determined based on the following:

[0075] In this embodiment of the application, optionally, generating an effective coefficient for the zone to be evaluated based on the hydrogen source correlation data includes: if the depth of the target layer of the zone to be evaluated is less than a preset depth threshold, then determining the fifth effective coefficient of the zone to be evaluated as the first value; otherwise, determining the fifth effective coefficient of the zone to be evaluated according to the following formula:

[0076] Hd = Z / Ht*N;

[0077] Where Hd is the fifth effective coefficient, Z is the preset depth threshold, Ht is the depth of the target layer in the area to be evaluated, and N is the first value. For example, the target layer can be a stratum in the area to be evaluated that may contain hydrogen, the preset depth threshold can be 1000 meters, and N can be 10.

[0078] For example, the fifth effective coefficient can be represented by Hd, also known as the effective enrichment coefficient for natural hydrogen reservoirs. Due to the small molecular weight of hydrogen, natural hydrogen reservoirs readily diffuse upwards. Combined with limitations in extraction conditions, the effective enrichment layer is typically less than 1000m deep. As the depth increases, the effective enrichment is usually inversely proportional to the depth. Therefore, the fifth effective coefficient Hd is defined as follows: when the depth (Ht) of the target layer in the hydrogen reservoir within the assessment zone is less than or equal to 1000m, Hd = 10; when the depth of the target layer in the hydrogen reservoir within the assessment zone is greater than 1000m, Hd = 1000 / Ht * 10. Figure 7 As shown, in one embodiment, there are three zones to be evaluated: a, b, and c. Zone a has a target layer depth Hta of 1500m, therefore Hda = 1000 / Hta * 10 = 1000 / 1500 * 10 = 6.7. Zone b has a target layer depth Htb of 500m, therefore Hdb = 10.0. Zone c has a target layer depth Htc of 2000m, therefore Hdc = 1000 / Htc * 10 = 1000 / 2000 * 10 = 5.0.

[0079] Optionally, in this embodiment of the application, the method further includes: normalizing each effective coefficient so that the calculation results of each effective coefficient are within the same numerical range.

[0080] For example, in this application embodiment, each effective coefficient can be normalized using a first value. Obviously, the first value can be any value, such as 1, 10, 100, etc. This application embodiment only uses a first value of 10 as a specific example, so that each effective coefficient is located in the value range of 0-10.

[0081] S230, based on all effective coefficients of the zone to be evaluated, determine the predicted value of the hydrogen reservoir in the zone to be evaluated.

[0082] Specifically, since each zone to be evaluated corresponds to five effective coefficients, it is necessary to integrate all effective coefficients to obtain a hydrogen reservoir prediction value that can comprehensively reflect the hydrogen reservoir potential of the zone to be evaluated.

[0083] In this embodiment of the application, optionally, the effective coefficient includes: a first effective coefficient, a second effective coefficient, a third effective coefficient, a fourth effective coefficient, and a fifth effective coefficient;

[0084] Accordingly, based on all the effective coefficients of the zone to be evaluated, the predicted value of the hydrogen reservoir in the zone to be evaluated is determined, including: establishing a regular pentagonal coordinate axis; the origin of the regular pentagonal coordinate axis is the center point of the regular pentagon; the regular pentagonal coordinate axis includes five coordinate axes, each corresponding to an effective coefficient, and each coordinate axis passes through different vertices of the regular pentagon; mapping all effective coefficients onto the regular pentagonal coordinate axis to obtain five mapping points; connecting the mapping points on adjacent coordinate axes to obtain a sub-pentagon; and determining the area of ​​the sub-pentagon as the predicted value of the hydrogen reservoir in the zone to be evaluated.

[0085] For example, a quantified pentagonal map of a natural hydrogen reservoir is constructed. This pentagonal map is a regular pentagon, with its five vertices corresponding to the first effective coefficient (Hs), second effective coefficient (Hm), third effective coefficient (Ht), fourth effective coefficient (He), and fifth effective coefficient (Hd), respectively. Connecting the center point of the regular pentagon to the five vertices forms five axes, resulting in the pentagonal coordinate axes: the first effective coefficient axis (Hs axis), the second effective coefficient axis (Hm axis), the third effective coefficient axis (Ht axis), the fourth effective coefficient axis (He axis), and the fifth effective coefficient axis (Hd axis). The center point of the regular pentagon is point 0, which is the origin (value 0) of the Hs axis, Hm axis, Ht axis, He axis, and Hd axis. The five vertices of the regular pentagon are the maximum values ​​(maximum value is 10) of the Hs axis, Hm axis, Ht axis, He axis, and Hd axis, respectively. The Hs, Hm, Ht, He, and Hd values ​​of the zone to be evaluated are plotted onto the corresponding Hs, Hm, Ht, He, and Hd axes. Connecting these five plotted points forms a pentagon. The area of ​​the pentagon is the predicted hydrogen reservoir value for the zone to be evaluated. The area of ​​the pentagon (SHSMTED) = 1 / 2 * Hs * Hm * sin72° + 1 / 2 * Hm * Ht * sin72° + 1 / 2 * Ht * He * sin72° + 1 / 2 * He * Hd * sin72° + 1 / 2 * Hd * Hs * sin72° = 1 / 2 * sin72° * (Hs * Hm + Hm * Ht + Ht * He + He * Hd + Hd * Hs). For example, ... Figure 8As shown, a pentagonal map (i.e., pentagonal coordinate axes) for the zonation of natural hydrogen reservoirs is established, with three zones to be evaluated: a, b, and c. The Hsa values ​​(2.0), Hma values ​​(3.9), Hta values ​​(10.0), Hea values ​​(9.0), and Hda values ​​(6.7) of zone a are plotted onto the corresponding Hs, Hm, Ht, He, and Hd axes, respectively. Connecting these five plotted points forms a pentagon. The area of ​​the pentagon (SHSMTED-a) is the predicted hydrogen reservoir value for zone a, where SHSMTED-a = 1 / 2 * Hsa * Hma * sin72° + 1 / 2 * Hma * Hta * sin72° + 1 / 2*Hta*Hea*sin72°+1 / 2*Hea*Hda*sin72°+1 / 2*Hda*Hsa*sin72°=1 / 2*sin72°*(Hsa*Hma+Hma*H ta+Hta*Hea+Hea*Hda+Hda*Hsa)=1 / 2*sin72°*(2.0*3.9+3.9*10.0+10.0*9.0+9.0*6.7+6.7*2.0). The Hsb values ​​(0.9), Hmb values ​​(5.0), Htb values ​​(5.0), Heb values ​​(10.0), and Hdb values ​​(10.0) of zone b are plotted onto the corresponding Hs, Hm, Ht, He, and Hd axes, respectively. Connecting these five plotted points forms a pentagon. The area of ​​the pentagon (SHSMTED-b) is the predicted hydrogen reservoir value for zone b. SHSMTED-b = 1 / 2 * Hsb * Hmb * sin72° + 1 / 2 * Hmb * Htb * sin72° + 1 / 2*Htb*Heb*sin72°+1 / 2*Heb*Hdb*sin72°+1 / 2*Hdb*Hsb*sin72°=1 / 2*sin72°*(Hsb*Hmb+Hmb*Htb+Htb*Heb+Heb*Hdb+Hdb*Hsb)=1 / 2*sin72°*(0.9*5.0+5.0*5.0+5.0*10.0+10.0*10.0+10.0*0.9).The Hsc values ​​of 2.4, Hmc values ​​of 7.8, Htc values ​​of 10.0, Hec values ​​of 6.0, and Hdc values ​​of 5.0 in zone c are plotted onto the corresponding Hs, Hm, Ht, He, and Hd axes, respectively. Connecting these five plotted points forms a pentagon. The area of ​​the pentagon (SHSMTED-c) is the predicted hydrogen reservoir value for zone c. SHSMTED-c = 1 / 2 * Hsc * Hmc * sin72° + 1 / 2 * Hmc * Htc * sin72° + 1 / 2*Htc*Hec*sin72°+1 / 2*Hec*Hdc*sin72°+1 / 2*Hdc*Hsc*sin72°=1 / 2*sin72°*(Hsc*Hmc+Hmc*H tc+Htc*Hec+Hec*Hdc+Hdc*Hsc)=1 / 2*sin72°*(2.4*7.8+7.8*10.0+10.0*6.0+6.0*5.0+5.0*2.4).

[0086] In this embodiment of the application, optionally, the effective coefficients include: a first effective coefficient, a second effective coefficient, a third effective coefficient, a fourth effective coefficient, and a fifth effective coefficient; correspondingly, determining the predicted value of the hydrogen reservoir in the area to be evaluated based on all the effective coefficients of the area to be evaluated includes: determining the predicted value of the hydrogen reservoir in the area to be evaluated according to the following formula: SH=Hs*Hm+Hm*Ht+Ht*He+He*Hd+Hd*Hs; where SH is the predicted value of the hydrogen reservoir, Hs is the first effective coefficient, Hm is the second effective coefficient, Ht is the third effective coefficient, He is the fourth effective coefficient, and Hd is the fifth effective coefficient.

[0087] For example, since there is a common term 1 / 2*sin72° when determining the predicted value of hydrogen reservoir using the area of ​​a pentagon, the predicted value of hydrogen reservoir can be simplified to: SH=Hs*Hm+Hm*Ht+Ht*He+He*Hd+Hd*Hs.

[0088] S240, Based on the predicted values ​​of hydrogen reservoirs in the area to be evaluated, determine the exploration potential assessment results of the natural hydrogen reservoirs in the area to be evaluated.

[0089] In this embodiment of the application, optionally, the exploration potential assessment result of the natural hydrogen reservoir in the area to be assessed is determined based on the predicted value of the hydrogen reservoir in the area to be assessed. This includes: if there is only one area to be assessed, the exploration potential assessment result of the natural hydrogen reservoir in the area to be assessed is determined based on the comparison result between the predicted value of the hydrogen reservoir in the area to be assessed and a preset threshold for hydrogen reservoirs; otherwise, the predicted values ​​of hydrogen reservoirs in multiple areas to be assessed are sorted; and the exploration potential assessment result of the natural hydrogen reservoir in the target area to be assessed is determined based on the sorting position of the target area to be assessed. The preset threshold for hydrogen reservoirs can be set according to actual conditions, and this embodiment of the application does not limit this.

[0090] For example, if there is only one zone to be evaluated, a preset threshold for hydrogen reservoirs can be obtained. This preset threshold can be set based on historical data of other hydrogen reservoirs. If the predicted value of hydrogen reservoirs in the zone to be evaluated is greater than the preset threshold, then the zone to be evaluated has exploration potential.

[0091] If there are multiple zones to be evaluated, the predicted hydrogen reservoir values ​​of these zones can be ranked to obtain a ranking result. For a target zone within each zone to be evaluated, if its ranking is within the top n%, it can be determined that the target zone has exploration potential. It should be noted that the value of n% can be determined based on actual circumstances, and this application does not limit this.

[0092] The technical solution of this application embodiment obtains five effective coefficients by processing five hydrogen source correlation data in different ways. These five effective coefficients reflect the hydrogen-bearing potential of the zone to be evaluated from different dimensions. Based on the five effective coefficients, a hydrogen reservoir prediction value that can comprehensively reflect the hydrogen reservoir potential of the zone to be evaluated is obtained. Then, according to the ranking result of the hydrogen reservoir prediction values ​​of different zones to be evaluated, the quantified hydrogen reservoir potential of each zone to be evaluated can be determined. For the zones to be evaluated that rank higher, exploration deployment can be arranged first.

[0093] Example 3

[0094] Figure 9 This is a schematic diagram of a device for evaluating natural hydrogen reservoirs provided in Embodiment 3 of this application. This device can execute the evaluation method for natural hydrogen reservoirs provided in any embodiment of this invention, and possesses the corresponding functional modules and beneficial effects for executing the method. Figure 9 As shown, the device includes:

[0095] The hydrogen source association data acquisition module 310 is used to acquire hydrogen source association data of the zone to be evaluated; the hydrogen source association data includes at least one of the following: first hydrogen source rock area data, second hydrogen source rock area data, rock type and rock thickness of the overlying layer of the zone to be evaluated, depth data of the target layer of the zone to be evaluated, and seismic exploration type of the zone to be evaluated.

[0096] The effective coefficient generation module 320 is used to generate an effective coefficient of the zone to be evaluated based on the hydrogen source correlation data; the effective coefficient reflects the hydrogen-containing potential of the zone to be evaluated.

[0097] The exploration potential assessment module 330 is used to determine the exploration potential assessment results of the natural hydrogen reservoirs in the area to be assessed based on the effective coefficient of the area to be assessed.

[0098] The technical solution of this application embodiment includes: a hydrogen source correlation data acquisition module 310, used to acquire hydrogen source correlation data of the zone to be evaluated; the hydrogen source correlation data includes at least one of the following: first hydrogen source rock area data, second hydrogen source rock area data, rock type and rock thickness of the overlying layer of the zone to be evaluated, depth data of the target layer of the zone to be evaluated, and seismic exploration type of the zone to be evaluated; an effective coefficient generation module 320, used to generate an effective coefficient of the zone to be evaluated based on the hydrogen source correlation data; the effective coefficient reflects the hydrogen-bearing potential of the zone to be evaluated; and an exploration potential assessment module 330, used to determine the exploration potential assessment result of the natural hydrogen reservoir in the zone to be evaluated based on the effective coefficient of the zone to be evaluated. This technical solution determines the effective coefficient reflecting the hydrogen-bearing potential of the zone to be evaluated through hydrogen source correlation data, and then determines the assessment result based on the effective coefficient of the zone to be evaluated, quantifying the exploration potential of the natural hydrogen-rich reservoir and providing support for subsequent exploration of natural hydrogen reservoirs.

[0099] Optionally, in this embodiment of the application, the area data of the first hydrogen source rock includes: the area of ​​the iron-rich craton basement, the area of ​​uranium-bearing rocks, and the area of ​​ultrabasic rocks;

[0100] Correspondingly, the effective coefficient generation module 320 includes:

[0101] The first effective coefficient determination unit is used to determine the first effective coefficient based on the ratio of the overlapping area of ​​the hydrogen source rocks to the total distribution area of ​​the hydrogen source rocks; the overlapping area of ​​the hydrogen source rocks is the overlapping area of ​​the iron-rich craton basement, uranium-bearing rocks and ultramafic rocks; the total distribution area of ​​the hydrogen source rocks is the total distribution area of ​​the iron-rich craton basement, uranium-bearing rocks and ultramafic rocks.

[0102] In this embodiment of the application, optionally, the second hydrogen source rock area data includes: the area of ​​the iron-rich craton basement, the area of ​​the uranium-bearing rock, the area of ​​the ultramafic rock, and the fracture area of ​​the overlapping part of the iron-rich craton basement, the uranium-bearing rock and the ultramafic rock;

[0103] Correspondingly, the effective coefficient generation module 320 includes:

[0104] The second effective coefficient determination unit is used to determine the second effective coefficient based on the ratio of the fracture area of ​​the hydrogen source rock to the overlapping area of ​​the hydrogen source rock; the fracture area of ​​the hydrogen source rock is the fracture area of ​​the overlapping part of the iron-rich craton basement, uranium-bearing rocks and ultramafic rocks; the overlapping area of ​​the hydrogen source rock is the overlapping area of ​​the iron-rich craton basement, uranium-bearing rocks and ultramafic rocks.

[0105] Optionally, in this embodiment of the application, the effective coefficient generation module 320 includes:

[0106] The third effective coefficient determination unit is used to determine the third effective coefficient of the area to be evaluated as the first value if the seismic exploration type of the area to be evaluated is a three-dimensional seismic type.

[0107] Otherwise, determine the third effective coefficient of the zone to be evaluated according to the following formula:

[0108] Ht = min{1 / X1, 1 / X2} * N;

[0109] Where Ht is the third effective coefficient, X1 is the minimum spacing of two-dimensional seismic survey lines in the main survey line direction, X2 is the minimum spacing of two-dimensional seismic survey lines in the connecting survey line direction, and N is the first value.

[0110] Optionally, in this embodiment of the application, the effective coefficient generation module 320 includes:

[0111] The fourth effective coefficient determination unit is used to determine the fourth effective coefficient of the area to be evaluated as the first value if the rock type of the overlying layer of the area to be evaluated is rock salt and the rock thickness is greater than or equal to the preset rock thickness threshold.

[0112] If the rock type of the overlying layer of the zone to be evaluated is rock salt, and the rock thickness is less than the preset rock thickness threshold, then the fourth effective coefficient of the zone to be evaluated is determined according to the following formula:

[0113] He = Te / M*N;

[0114] Where He is the fourth effective coefficient, Te is the rock thickness, M is the preset rock thickness threshold, and N is the first value.

[0115] Optionally, in this embodiment of the application, the effective coefficient generation module 320 includes:

[0116] The fifth effective coefficient determination unit is used to determine the fifth effective coefficient of the area to be evaluated as the first value if the depth of the target layer of the area to be evaluated is less than a preset depth threshold.

[0117] Otherwise, determine the fifth effective coefficient for the zone to be evaluated according to the following formula:

[0118] Hd = Z / Ht*N;

[0119] Where Hd is the fifth effective coefficient, Z is the preset depth threshold, Ht is the depth of the target layer of the zone to be evaluated, and N is the first value.

[0120] Optionally, in this embodiment of the application, the device further includes:

[0121] The normalization module is used to normalize each effective coefficient so that the calculation results of each effective coefficient are within the same numerical range.

[0122] In this embodiment of the application, optionally, the exploration potential assessment module 330 includes:

[0123] The hydrogen reservoir prediction value determination unit is used to determine the hydrogen reservoir prediction value of the zone to be evaluated based on all effective coefficients of the zone to be evaluated.

[0124] The assessment result determination unit is used to determine the exploration potential assessment result of the natural hydrogen reservoir in the area to be assessed based on the predicted value of the hydrogen reservoir in the area to be assessed.

[0125] Optionally, in this embodiment of the application, the evaluation result determination unit is specifically used for:

[0126] If there is only one zone to be evaluated, the exploration potential assessment result of the natural hydrogen reservoir in the zone to be evaluated is determined based on the comparison between the predicted value of the hydrogen reservoir in the zone to be evaluated and the preset threshold of the hydrogen reservoir.

[0127] Otherwise, the predicted hydrogen reservoir values ​​for multiple zones to be evaluated are sorted.

[0128] Based on the ranking of the target assessment zones, the exploration potential assessment results of the natural hydrogen reservoirs in the target assessment zones are determined.

[0129] In this embodiment of the application, optionally, the effective coefficient includes: a first effective coefficient, a second effective coefficient, a third effective coefficient, a fourth effective coefficient, and a fifth effective coefficient;

[0130] Correspondingly, the hydrogen reservoir prediction value determination unit includes:

[0131] A coordinate axis establishment sub-unit is used to establish a regular pentagonal coordinate axis; the origin of the regular pentagonal coordinate axis is the center point of the regular pentagon; the regular pentagonal coordinate axis includes five coordinate axes, each coordinate axis corresponds to an effective coefficient, and each coordinate axis passes through different vertices of the regular pentagon;

[0132] The effective coefficient mapping sub-unit is used to map all effective coefficients onto the regular pentagonal coordinate axis to obtain five mapping points;

[0133] The sub-pentagon defines the sub-unit, which is used to connect the mapping points on adjacent coordinate axes to obtain the sub-pentagon;

[0134] The hydrogen reservoir prediction value determination sub-unit is used to determine the area of ​​the sub-pentagon as the hydrogen reservoir prediction value of the zone to be evaluated.

[0135] In this embodiment of the application, optionally, the effective coefficient includes: a first effective coefficient, a second effective coefficient, a third effective coefficient, a fourth effective coefficient, and a fifth effective coefficient;

[0136] Correspondingly, the hydrogen reservoir prediction value determination unit includes:

[0137] The hydrogen reservoir prediction value determination subunit is used to determine the hydrogen reservoir prediction value of the zone to be evaluated according to the following formula:

[0138] SH=Hs*Hm+Hm*Ht+Ht*He+He*Hd+Hd*Hs;

[0139] Wherein, SH is the predicted value of hydrogen reservoir, Hs is the first effective coefficient, Hm is the second effective coefficient, Ht is the third effective coefficient, He is the fourth effective coefficient, and Hd is the fifth effective coefficient.

[0140] The device for evaluating natural hydrogen reservoirs provided in this application embodiment can execute the evaluation method for natural hydrogen reservoirs provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects for executing the method.

[0141] Example 4

[0142] Figure 10 A schematic diagram of an electronic device 10 that can be used to implement embodiments of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the invention described and / or claimed herein.

[0143] like Figure 10 As shown, the electronic device 10 includes at least one processor 11 and a memory, such as a read-only memory (ROM) 12 or a random access memory (RAM) 13, communicatively connected to the at least one processor 11. The memory stores computer programs executable by the at least one processor. The processor 11 can perform various appropriate actions and processes based on the computer program stored in the ROM 12 or loaded from storage unit 18 into the RAM 13. The RAM 13 may also store various programs and data required for the operation of the electronic device 10. The processor 11, ROM 12, and RAM 13 are interconnected via a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0144] Multiple components in electronic device 10 are connected to I / O interface 15, including: input unit 16, such as keyboard, mouse, etc.; output unit 17, such as various types of displays, speakers, etc.; storage unit 18, such as disk, optical disk, etc.; and communication unit 19, such as network card, modem, wireless transceiver, etc. Communication unit 19 allows electronic device 10 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0145] Processor 11 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. Processor 11 performs the various methods and processes described above, such as the evaluation methods for natural hydrogen reservoirs.

[0146] In some embodiments, the method for evaluating natural hydrogen reservoirs may be implemented as a computer program tangibly contained in a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed on electronic device 10 via ROM 12 and / or communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the method for evaluating natural hydrogen reservoirs described above may be performed. Alternatively, in other embodiments, processor 11 may be configured to perform the method for evaluating natural hydrogen reservoirs by any other suitable means (e.g., by means of firmware).

[0147] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SoCs), complex programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0148] Computer programs used to implement the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when executed by the processor, the computer programs cause the functions / operations specified in the flowcharts and / or block diagrams to be performed. The computer programs may be executed entirely on a machine, partially on a machine, or as a standalone software package, partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0149] In the context of this invention, a computer-readable storage medium can be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, apparatus, or device. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination thereof. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof.

[0150] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the electronic device. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0151] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or computing systems that include middleware components (e.g., application servers), or computing systems that include frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include local area networks (LANs), wide area networks (WANs), blockchain networks, and the Internet.

[0152] A computing system can include clients and servers. Clients and servers are generally located far apart and typically interact through communication networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or cloud host, which is a hosting product within the cloud computing service system to address the shortcomings of traditional physical hosts and VPS services, such as high management difficulty and weak business scalability.

[0153] It should be understood that the various forms of processes shown above can be used, with steps reordered, added, or deleted. For example, the steps described in this invention can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this invention can be achieved, and this is not limited herein.

[0154] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.

Claims

1. A method for evaluating natural hydrogen reservoirs, characterized in that, include: Obtain hydrogen source correlation data for the area to be evaluated; the hydrogen source correlation data includes at least one of the following: area data of the first hydrogen source rock, area data of the second hydrogen source rock, rock type and rock thickness of the overlying layer of the area to be evaluated, depth data of the target layer of the area to be evaluated, and seismic exploration type of the area to be evaluated. Based on the hydrogen source correlation data, an effective coefficient is generated for the zone to be evaluated; the effective coefficient reflects the hydrogen potential of the zone to be evaluated. Based on the effective coefficient of the zone to be evaluated, the exploration potential assessment results of the natural hydrogen reservoir in the zone to be evaluated are determined.

2. The method according to claim 1, characterized in that, The first hydrogen source rock area data includes: the area of ​​the iron-rich craton basement, the area of ​​uranium-bearing rocks, and the area of ​​ultramafic rocks; Accordingly, based on the hydrogen source correlation data, an effective coefficient for the zone to be evaluated is generated, including: The first effective coefficient is determined based on the ratio of the overlapping area of ​​the hydrogen source rocks to the total distribution area of ​​the hydrogen source rocks; the overlapping area of ​​the hydrogen source rocks is the overlapping area of ​​the iron-rich craton basement, uranium-bearing rocks, and ultramafic rocks; the total distribution area of ​​the hydrogen source rocks is the total distribution area of ​​the iron-rich craton basement, uranium-bearing rocks, and ultramafic rocks.

3. The method according to claim 1, characterized in that, The second hydrogen source rock area data includes: the area of ​​the iron-rich craton basement, the area of ​​uranium-bearing rocks, the area of ​​ultramafic rocks, and the fracture area of ​​the overlapping part of the iron-rich craton basement, uranium-bearing rocks, and ultramafic rocks; Accordingly, based on the hydrogen source correlation data, an effective coefficient for the zone to be evaluated is generated, including: The second effective coefficient is determined based on the ratio of the fracture area of ​​the hydrogen source rock to the overlapping area of ​​the hydrogen source rock; the fracture area of ​​the hydrogen source rock is the fracture area of ​​the overlapping part of the iron-rich craton basement, uranium-bearing rocks and ultramafic rocks; the overlapping area of ​​the hydrogen source rock is the overlapping area of ​​the iron-rich craton basement, uranium-bearing rocks and ultramafic rocks.

4. The method according to claim 1, characterized in that, Based on the hydrogen source correlation data, the effective coefficients of the zone to be evaluated are generated, including: If the seismic exploration type of the area to be evaluated is three-dimensional seismic, then the third effective coefficient of the area to be evaluated is determined to be the first value. Otherwise, determine the third effective coefficient of the zone to be evaluated according to the following formula: H t =min{1 / X1,1 / X2}*N; Among them, H t X1 is the third effective coefficient, X2 is the minimum spacing of two-dimensional seismic survey lines in the main survey line direction, X2 is the minimum spacing of two-dimensional seismic survey lines in the connecting survey line direction, and N is the first value.

5. The method according to claim 1, characterized in that, Based on the hydrogen source correlation data, the effective coefficients of the zone to be evaluated are generated, including: If the rock type of the overlying layer of the zone to be evaluated is rock salt, and the rock thickness is greater than or equal to the preset rock thickness threshold, then the fourth effective coefficient of the zone to be evaluated is determined to be the first value. If the rock type of the overlying layer of the zone to be evaluated is rock salt, and the rock thickness is less than the preset rock thickness threshold, then the fourth effective coefficient of the zone to be evaluated is determined according to the following formula: H e＝ T e / M*N; Among them, H e T is the fourth effective coefficient. e M represents the rock thickness, M is the preset rock thickness threshold, and N is the first value.

6. The method according to claim 1, characterized in that, Based on the hydrogen source correlation data, the effective coefficients of the zone to be evaluated are generated, including: If the depth of the target layer of the area to be evaluated is less than the preset depth threshold, then the fifth effective coefficient of the area to be evaluated is determined to be the first value. Otherwise, determine the fifth effective coefficient for the zone to be evaluated according to the following formula: H d =Z / H t *N; Among them, H d Z is the fifth effective coefficient, and H is the preset depth threshold. t N represents the depth of the target layer in the zone to be evaluated, and N is the first value.

7. The method according to any one of claims 2-6, characterized in that, The method further includes: The effective coefficients are normalized so that the calculation results of each effective coefficient are within the same numerical range.

8. The method according to claim 1, characterized in that, Based on the effective coefficient of the zone to be evaluated, the exploration potential assessment results of the natural hydrogen reservoirs in the zone to be evaluated are determined, including: Based on all the effective coefficients of the zone to be evaluated, determine the predicted value of the hydrogen reservoir in the zone to be evaluated; Based on the predicted values ​​of hydrogen reservoirs in the area to be evaluated, the exploration potential assessment results of the natural hydrogen reservoirs in the area to be evaluated are determined.

9. The method according to claim 8, characterized in that, Based on the predicted hydrogen reservoir values ​​for the area to be evaluated, the exploration potential assessment results for the natural hydrogen reservoirs in the area to be evaluated are determined, including: If there is only one zone to be evaluated, the exploration potential assessment result of the natural hydrogen reservoir in the zone to be evaluated is determined based on the comparison between the predicted value of the hydrogen reservoir in the zone to be evaluated and the preset threshold of the hydrogen reservoir. Otherwise, the predicted hydrogen reservoir values ​​for multiple zones to be evaluated are sorted. Based on the ranking of the target assessment zones, the exploration potential assessment results of the natural hydrogen reservoirs in the target assessment zones are determined.

10. The method according to claim 8, characterized in that, The effective coefficients include: a first effective coefficient, a second effective coefficient, a third effective coefficient, a fourth effective coefficient, and a fifth effective coefficient; Accordingly, based on all effective coefficients of the zone to be evaluated, the predicted value of the hydrogen reservoir in that zone is determined, including: Establish a regular pentagonal coordinate axis; the origin of the regular pentagonal coordinate axis is the center point of the regular pentagon; the regular pentagonal coordinate axis includes five coordinate axes, each coordinate axis corresponds to an effective coefficient, and each coordinate axis passes through different vertices of the regular pentagon; Mapping all effective coefficients onto a regular pentagonal coordinate axis yields five mapping points; Connect the mapping points on adjacent coordinate axes to obtain the subpentagon; The area of ​​the subpentagon is determined as the predicted value of the hydrogen reservoir in the zone to be evaluated.

11. The method according to claim 8, characterized in that, The effective coefficients include: a first effective coefficient, a second effective coefficient, a third effective coefficient, a fourth effective coefficient, and a fifth effective coefficient; Accordingly, based on all effective coefficients of the zone to be evaluated, the predicted value of the hydrogen reservoir in that zone is determined, including: The predicted value of hydrogen reservoirs in the zone to be evaluated is determined according to the following formula: SH=H s *H m +H m *H t +H t *H e +H e *H d +H d *H s ; Where SH represents the predicted value of the hydrogen reservoir, and H... s H is the first effective coefficient. m H is the second effective coefficient. t H is the third effective coefficient. e H is the fourth effective coefficient. d It is the fifth effective coefficient.

12. An evaluation device for natural hydrogen reservoirs, characterized in that, include: The hydrogen source association data acquisition module is used to acquire hydrogen source association data of the zone to be evaluated; the hydrogen source association data includes at least one of the following: first hydrogen source rock area data, second hydrogen source rock area data, rock type and rock thickness of the overlying layer of the zone to be evaluated, depth data of the target layer of the zone to be evaluated, and seismic exploration type of the zone to be evaluated. An effective coefficient generation module is used to generate an effective coefficient for the zone to be evaluated based on the hydrogen source correlation data; the effective coefficient reflects the hydrogen-containing potential of the zone to be evaluated. The exploration potential assessment module is used to determine the exploration potential assessment results of the natural hydrogen reservoirs in the area to be assessed based on the effective coefficient of the area to be assessed.

13. An electronic device, characterized in that, The electronic device includes: At least one processor; and A memory communicatively connected to the at least one processor; wherein, The memory stores a computer program executable by the at least one processor, which enables the at least one processor to perform the evaluation method for natural hydrogen reservoirs according to any one of claims 1-11.

14. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions that, when executed by a processor, implement the evaluation method for any one of claims 1-11 of the natural hydrogen reservoirs.

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