Generation method and device of natural gas cause identification chart, equipment and medium

Abstract

The invention relates to a generation method, device, equipment and medium of a natural gas cause identification chart, in particular to the technical field of natural gas exploration, and the generation method comprises the following steps: performing a hydrocarbon generation simulation test on a hydrocarbon source rock sample to obtain gaseous analysis gas; performing natural gas composition analysis, natural gas C6-C8 light hydrocarbon composition analysis and natural gas C1-C5 carbon isotope and hydrogen isotope analysis on gaseous analysis gas, and drawing a gas component-gas component relational graph, a light hydrocarbon component-light hydrocarbon component relational graph and a hydrocarbon gas carbon isotope-carbon isotope relational graph of different closed systems; and screening parameters with differences to establish a natural gas cause identification chart of the high-over mature multi-closed system. According to the generation method provided by the invention, a hydrocarbon generation simulation experiment and oil-gas product chemical analysis are carried out, a multi-closed system natural gas cause identification chart is established, and theoretical support is provided for cover layer closure evaluation in regional oil-gas exploration, regional oil-gas resource evaluation and oil-gas-containing distant view and exploration field evaluation.

Description

A method, apparatus, equipment, and medium for generating a natural gas gene identification chart. Technical Field

[0001] This invention relates to the field of natural gas exploration technology, specifically to a method, apparatus, equipment, and medium for generating a natural gas gene identification chart, and more particularly to a method, apparatus, equipment, and medium for generating a natural gas gene identification chart based on the analysis of products from a multi-closed system simulation experiment. Background Technology

[0002] Hydrocarbon generation is a crucial aspect of petroleum geology research, and it is influenced by multiple factors, such as formation temperature, formation pressure, heating time, and mineral medium conditions. Similarly, the sealing properties of a reservoir significantly impact the nature and quantity of hydrocarbon components. When the caprock has poor sealing properties, most of the early-formed hydrocarbons escape, and these escaped hydrocarbons (primarily oil in the mature stage) do not participate in further hydrocarbon cracking. In this type of closed system, liquid hydrocarbon production is relatively high, while gaseous hydrocarbon production is low. Conversely, when the caprock has excellent sealing properties, it is a completely closed system where hydrocarbons, whether generated in the early or late geological periods, are trapped within the formation, maximizing the conversion of liquid hydrocarbons into gaseous hydrocarbons. This results in the highest gaseous hydrocarbon production and the lowest liquid hydrocarbon production.

[0003] However, under geological conditions, the hydrocarbon generation environment of organic matter is not a simple completely closed or completely open system, but a semi-open and semi-closed system. That is, the volume expansion formed during the hydrocarbon generation process causes the fluid pressure in the source (or oil and gas reservoir) to exceed the sealing capacity of the caprock, resulting in overpressure oil and gas leakage. When the fluid pressure in the source (or oil and gas reservoir) is less than the sealing capacity of the caprock, the leakage channel closes again. This process is called "curtain-style hydrocarbon discharge". The yield of liquid and gaseous hydrocarbons in a semi-open and semi-closed system is between that of a completely closed system and an open system. The sealing capacity of the caprock determines whether the oil and gas yield in a semi-closed and semi-open system is closer to that of a completely closed system or a completely open system.

[0004] Therefore, a correct understanding of the sealing properties of oil and gas caps is of great significance for accurately evaluating regional oil and gas resources, determining oil and gas prospects and exploration areas, especially for Paleozoic marine oil and gas exploration.

[0005] However, current assessments of caprock sealing capacity mainly focus on the current static capacity of the caprock. It is not clear how the caprock’s dynamic sealing capacity has been demonstrated in the past, how the organic geochemical properties of oil and gas have been demonstrated, or how to identify them. This makes it impossible to analyze the sealing capacity of natural gas caprocks and the natural gas accumulation process, and is also not conducive to the assessment of natural gas resource potential. Summary of the Invention

[0006] In view of the problems existing in the prior art, the purpose of the present invention is to provide a method, apparatus, equipment and medium for generating a natural gas gene identification chart, so as to solve the defects that the current method cannot analyze the sealing capacity of natural gas caps and the natural gas accumulation process, and is not conducive to the evaluation of natural gas resource potential.

[0007] To achieve this objective, the present invention adopts the following technical solution:

[0008] In a first aspect, the present invention provides a method for generating a natural gas genesis identification chart, the method comprising:

[0009] Hydrogen generation simulation experiments were conducted on source rock samples to obtain gaseous analytical gases;

[0010] The obtained gaseous analysis gas was subjected to natural gas composition analysis, natural gas C6-C8 light hydrocarbon composition analysis, and natural gas C1-C5 carbon isotope and hydrogen isotope analysis. Gas component-gas component relationship diagram, light hydrocarbon component-light hydrocarbon component relationship diagram, and hydrocarbon gas carbon isotope-carbon isotope relationship diagram were drawn for different closed systems. Parameters with differences were screened to establish a natural gas genesis identification chart for high-to-overmature multi-closed systems.

[0011] The generation method provided by this invention, through conducting hydrocarbon generation simulation experiments in different closed systems (closed systems, open systems, semi-closed and semi-open systems) and organic geochemical analysis of oil and gas products, screens out the organic geochemical parameters that differ between different closed systems, establishes a multi-closed system natural gas genesis identification chart, and provides theoretical support for the evaluation of caprock sealing in regional oil and gas exploration, regional oil and gas resource evaluation, oil and gas prospect and exploration area evaluation.

[0012] As a preferred technical solution of the present invention, the lithology of the source rock sample includes one or a combination of at least two of the following: dark mudstone and shale, marine carbonate rock, coal-bearing mudstone, or carbonaceous mudstone.

[0013] Preferably, the source rock samples include outcrop samples and / or downhole samples.

[0014] Preferably, the source rock sample is an unweathered and homogeneous sample.

[0015] Preferably, the particle size of the source rock sample is 3-5 mm.

[0016] As a preferred technical solution of the present invention, the hydrocarbon generation simulation test includes a closed system test, an open system test, and a semi-closed and semi-open system test.

[0017] As a preferred technical solution of the present invention, the hydrocarbon discharge pressure threshold of the closed system test is 65-70 MPa.

[0018] Preferably, the closed system test includes: selecting at least 14 temperature points within a temperature range of 200-600℃ to conduct a stepped temperature test, with each temperature point test using a new sample.

[0019] Preferably, the relationship between the static rock pressure P and temperature T in the closed system test is: P = ρgH, H = a1 × lnRo + b1.

[0020] In the formula, P is the static rock pressure, MPa; ρ is the average density of the overlying sediments, kg / m³. 3 g is the acceleration due to gravity, 9.8 m / s². 2 H is the thickness of the overlying sediments or rock strata, in meters; Ro is the vitrinite reflectance of the rock sample; T is the temperature, in ℃; a1, a2, b1, and b2 are constants obtained by fitting the vitrinite reflectance test results of the rock sample.

[0021] Preferably, the isothermal time for the closed system test is 24-26 hours.

[0022] Preferably, the amount of water added in the closed system test is 10-12% of the mass of the source rock sample.

[0023] Preferably, the hydrocarbon discharge pressure of the semi-closed and semi-open system test is 30-40 MPa.

[0024] Preferably, the semi-closed and semi-open system test includes: selecting at least 14 temperature points within a temperature range of 200-600℃ to conduct a stepped temperature test, with each temperature point test using a new sample.

[0025] Preferably, the relationship between the static rock pressure P and temperature T in the semi-closed / semi-open system test is: P = ρgH, H = a1 × lnRo + b1.

[0026] In the formula, P is the static rock pressure, MPa; ρ is the average density of the overlying sediments, kg / m³. 3 g is the acceleration due to gravity, 9.8 m / s². 2 H is the thickness of the overlying sediments or rock strata, in meters; Ro is the vitrinite reflectance of the rock sample; T is the temperature, in ℃; a1, a2, b1, and b2 are constants obtained by fitting the vitrinite reflectance test results of the rock sample.

[0027] Preferably, the isothermal time for the semi-closed and semi-open system test is 24-26 hours.

[0028] Preferably, the amount of water added in the semi-closed and semi-open system test is 10-12% of the mass of the source rock sample.

[0029] As a preferred technical solution of the present invention, the hydrocarbon discharge pressure of the open system test is 4-6 MPa.

[0030] Preferably, the open system test includes: selecting at least 14 temperature points within a temperature range of 200-600℃ to conduct a stepped temperature test.

[0031] Preferably, the relationship between the static rock pressure P and temperature T in the open system test is: P = ρgH, H = a1 × lnRo + b1.

[0032] In the formula, P is the static rock pressure, MPa; ρ is the average density of the overlying sediments, kg / m³. 3 g is the acceleration due to gravity, 9.8 m / s². 2 H is the thickness of the overlying sediments or rock strata, in meters; Ro is the vitrinite reflectance of the rock sample; T is the temperature, in ℃; a1, a2, b1, and b2 are constants obtained by fitting the vitrinite reflectance test results of the rock sample.

[0033] Preferably, the isothermal time for the open system test is 24-26 hours.

[0034] Preferably, the amount of water added in the open system test is 10-12% of the mass of the source rock sample.

[0035] Preferably, the source rock samples used in the open system test undergo soluble organic matter removal and extraction.

[0036] As a preferred technical solution of the present invention, the target components in the natural gas composition analysis include C1-C5 hydrocarbons, CO2, N2 and H2S.

[0037] As a preferred technical solution of the present invention, the step of establishing a natural gas gene identification chart for high-to-overmature multi-closed systems by screening parameters with differences includes:

[0038] Based on iC4 / nC4~C1 / C 1-5 δ 13 C1~δ 13 A chart for identifying the genesis of natural gas in different closed systems at high-to-overmaturation stages was established using C2 and aromatic hydrocarbons to n-alkanes.

[0039] Secondly, the present invention provides an apparatus for generating a natural gas genesis identification chart, the apparatus comprising:

[0040] The gaseous analysis gas acquisition module is used to conduct hydrocarbon generation simulation experiments on source rock samples and acquire gaseous analysis gas.

[0041] The analysis module is used to perform natural gas composition analysis, natural gas C6-C8 light hydrocarbon composition analysis, and natural gas C1-C5 carbon isotope and hydrogen isotope analysis on the obtained gaseous analysis gas.

[0042] The identification chart acquisition module is used to draw gas component-gas component relationship diagrams, light hydrocarbon component-light hydrocarbon component relationship diagrams, and hydrocarbon gas carbon isotope-carbon isotope relationship diagrams for different closed systems, and to screen parameters with differences to establish natural gas genesis identification charts for high-to-overmature multi-closed systems.

[0043] Thirdly, the present invention provides an electronic device, the electronic device comprising:

[0044] At least one processor; and a memory communicatively connected to said at least one processor;

[0045] 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 method for generating the natural gas genesis identification chart as described in the first aspect.

[0046] Fourthly, the present invention provides a computer storage medium storing computer-executable instructions, which, when executed by a processor, implement the method for generating a natural gas genesis identification chart as described in the first aspect.

[0047] Compared with existing technical solutions, the present invention has the following beneficial effects:

[0048] The method provided by this invention forms a set of generative identification charts for natural gas in multiple closed systems, forming iC4 / nC4-C1 / C4 natural gas in different closed systems at high-to-overmaturity stages. 1-5 Aromatic hydrocarbons - n-alkanes, δ 13 C1-δ 13 The three generative identification charts in C2 enrich the understanding of natural gas formation mechanisms under multi-closed conditions, provide technical means for identifying natural gas in multi-closed systems, and offer theoretical support for evaluating caprock sealing, regional oil and gas resources, oil and gas prospects, and exploration areas in regional oil and gas exploration. This will help achieve efficient exploration of oil and gas resources. Attached Figure Description

[0049] Figure 1 is a flowchart of a method for generating a natural gas genesis identification chart according to an embodiment of the present invention;

[0050] Figure 2 is a schematic diagram of the apparatus for generating a natural gas genesis identification plate according to an embodiment of the present invention;

[0051] Figure 3 is a schematic diagram of an electronic device provided in an embodiment of the present invention;

[0052] Figure 4 is a flowchart of the method for generating a natural gas genesis identification plate provided in Embodiment 1 of the present invention;

[0053] Figure 5 shows the natural gas iC4 / nC4-C1 / ... 1-5 Identification of causes;

[0054] Figure 6 shows the δ values ​​of natural gas in different closed systems obtained in Example 1 of the present invention. 13 C1-δ 13 C2 formation identification plate;

[0055] Figure 7 is a comparison diagram of light hydrocarbons, aromatics and n-alkanes in natural gas in a multi-closed system obtained in Example 1 of the present invention.

[0056] The present invention will now be described in further detail. However, the examples described below are merely simplified examples of the present invention and do not represent or limit the scope of protection of the present invention. The scope of protection of the present invention is determined by the claims. Detailed Implementation

[0057] To better illustrate the present invention and facilitate understanding of its technical solutions, typical but non-limiting embodiments of the present invention are as follows:

[0058] This embodiment provides a method for generating a natural gas genesis identification chart, the process of which is shown in Figure 1. The generation method includes:

[0059] Hydrogen generation simulation experiments were conducted on source rock samples to obtain gaseous analytical gases;

[0060] The obtained gaseous analysis gas was subjected to natural gas composition analysis, natural gas C6-C8 light hydrocarbon composition analysis, and natural gas C1-C5 carbon isotope and hydrogen isotope analysis. Gas component-gas component relationship diagram, light hydrocarbon component-light hydrocarbon component relationship diagram, and hydrocarbon gas carbon isotope-carbon isotope relationship diagram were drawn for different closed systems. Parameters with differences were screened to establish a natural gas genesis identification chart for high-to-overmature multi-closed systems.

[0061] The lithology of the source rock samples includes one or a combination of at least two of the following: dark mudstone and shale, marine carbonate rocks, coal-bearing mudstone, or carbonaceous mudstone.

[0062] The source rock samples include outcrop samples and / or downhole samples.

[0063] The source rock sample is an unweathered and homogeneous sample.

[0064] In this invention, homogeneity refers to rock samples having similar rock composition and similar organic matter abundance.

[0065] The source rock sample has a particle size of 3-5 mm.

[0066] In this invention, particle size refers to an aggregate of particles with any uniform particle size within a defined range and / or an aggregate of all particles within a certain interval.

[0067] In this invention, before conducting a hydrocarbon generation simulation experiment, samples can be selectively taken to perform rock organic carbon and rock pyrolysis analysis to obtain parameters such as organic carbon content, hydrogen index, and highest pyrolysis peak temperature, providing a basis for designing experimental temperature points and sample loading amounts.

[0068] The hydrocarbon generation simulation tests include closed system tests, open system tests, and semi-closed / semi-open system tests.

[0069] In this invention, the temperature, static rock pressure, water addition, and isothermal time corresponding to the closed system test, open system test, and semi-closed / semi-open system test in the hydrocarbon generation simulation test can be kept consistent for each system test, or different point values ​​of temperature, static rock pressure, water addition, and isothermal time can be selected for each system test.

[0070] Specifically, the hydrocarbon discharge pressure threshold for the closed system test is 65-70 MPa, for example, it can be 65 MPa, 66 MPa, 67 MPa, 68 MPa, 69 MPa or 70 MPa, but is not limited to the listed values. Other unlisted values ​​within this range also meet the requirements.

[0071] Specifically, the closed system test includes: selecting at least 14 temperature points within a temperature range of 200-600℃ to conduct a stepped temperature test, with each temperature point test using a new sample.

[0072] For example, in the closed system test, the selectable temperature points within the temperature range of 200-600℃ are 200℃, 210℃, 220℃, 230℃, 240℃, 250℃, 260℃, 270℃, 280℃, 290℃, 300℃, 310℃, 320℃, 330℃, 340℃, 350℃, 360℃, 370℃, 380℃, 390℃, 400℃, 410℃, and 420℃. Temperature ranges include, but are not limited to, 430℃, 440℃, 450℃, 460℃, 470℃, 480℃, 490℃, 500℃, 510℃, 520℃, 530℃, 540℃, 550℃, 560℃, 570℃, 580℃, 590℃, or 600℃. Other unlisted values ​​within this range are also acceptable. The temperature ranges can be selected at equal or non-equal intervals.

[0073] Specifically, the relationship between the static rock pressure P and temperature T in the closed system test is: P = ρgH, H = a1 × lnRo + b1,

[0074] In the formula, P is the static rock pressure, MPa; ρ is the average density of the overlying sediments, kg / m³. 3 g is the acceleration due to gravity, 9.8 m / s². 2 H is the thickness of the overlying sediments or rock strata, in meters; Ro is the vitrinite reflectance of the rock sample; T is the temperature, in ℃; a1, a2, b1, and b2 are constants obtained by fitting the vitrinite reflectance test results of the rock sample.

[0075] Specifically, the isothermal time for the closed system test is 24-26 hours, for example, it can be 24 hours, 24.5 hours, 25 hours, 25.5 hours or 26 hours, but is not limited to the listed values. Other unlisted values ​​within this range also meet the requirements.

[0076] Specifically, the amount of water added to the closed system test is 10-12% of the mass of the source rock sample, for example, it can be 10%, 10.2%, 10.4%, 10.6%, 10.8%, 11%, 11.2%, 11.4%, 11.6%, 11.8%, or 12%, etc., but is not limited to the listed values. Other unlisted values ​​within this range are also acceptable.

[0077] Specifically, the hydrocarbon discharge pressure of the semi-closed and semi-open system test is 30-40 MPa, for example, it can be 30 MPa, 32 MPa, 34 MPa, 36 MPa, 38 MPa or 40 MPa, etc., but is not limited to the listed values. Other unlisted values ​​within this range also meet the requirements.

[0078] Specifically, the semi-closed and semi-open system test includes: selecting at least 14 temperature points within a temperature range of 200-600℃ to conduct a stepped temperature test, with each temperature point test using a new sample.

[0079] For example, in the semi-closed and semi-open system test, the selectable temperature points within the temperature range of 200-600℃ are 200℃, 210℃, 220℃, 230℃, 240℃, 250℃, 260℃, 270℃, 280℃, 290℃, 300℃, 310℃, 320℃, 330℃, 340℃, 350℃, 360℃, 370℃, 380℃, 390℃, 400℃, 410℃, and 420℃. Temperature ranges include 430℃, 440℃, 450℃, 460℃, 470℃, 480℃, 490℃, 500℃, 510℃, 520℃, 530℃, 540℃, 550℃, 560℃, 570℃, 580℃, 590℃, or 600℃, but are not limited to the listed values. Other unlisted values ​​within this range are also acceptable. The temperature range can be selected at equal or non-equal intervals.

[0080] Specifically, the relationship between the static rock pressure P and temperature T in the semi-closed and semi-open system test is: P = ρgH, H = a1 × lnRo + b1,

[0081] In the formula, P is the static rock pressure, MPa; ρ is the average density of the overlying sediments, kg / m³. 3 g is the acceleration due to gravity, 9.8 m / s². 2 H is the thickness of the overlying sediments or rock strata, in meters; Ro is the vitrinite reflectance of the rock sample; T is the temperature, in ℃; a1, a2, b1, and b2 are constants obtained by fitting the vitrinite reflectance test results of the rock sample.

[0082] Specifically, the isothermal time for the semi-closed and semi-open system test is 24-26 hours, for example, it can be 24 hours, 24.5 hours, 25 hours, 25.5 hours or 26 hours, but is not limited to the listed values. Other unlisted values ​​within this range also meet the requirements.

[0083] Specifically, the amount of water added in the semi-closed and semi-open system test is 10-12% of the mass of the source rock sample, for example, it can be 10%, 10.2%, 10.4%, 10.6%, 10.8%, 11%, 11.2%, 11.4%, 11.6%, 11.8%, or 12%, etc., but is not limited to the listed values. Other unlisted values ​​within this range are also acceptable.

[0084] Specifically, the hydrocarbon discharge pressure of the open system test is 4-6 MPa, for example, it can be 4 MPa, 4.5 MPa, 5 MPa, 5.5 MPa or 6 MPa, but is not limited to the listed values. Other unlisted values ​​within this range are also acceptable.

[0085] Specifically, the open system test includes: selecting at least 14 temperature points within a temperature range of 200-600℃ to conduct a stepped temperature test.

[0086] For example, in open system tests, the selectable temperature points within the temperature range of 200-600℃ are 200℃, 210℃, 220℃, 230℃, 240℃, 250℃, 260℃, 270℃, 280℃, 290℃, 300℃, 310℃, 320℃, 330℃, 340℃, 350℃, 360℃, 370℃, 380℃, 390℃, 400℃, 410℃, and 420℃. Temperature ranges include, but are not limited to, 430℃, 440℃, 450℃, 460℃, 470℃, 480℃, 490℃, 500℃, 510℃, 520℃, 530℃, 540℃, 550℃, 560℃, 570℃, 580℃, 590℃, or 600℃. Other unlisted values ​​within this range are also acceptable. The temperature ranges can be selected at equal or non-equal intervals.

[0087] Specifically, the relationship between the static rock pressure P and temperature T in the open system test is: P = ρgH, H = a1 × lnRo + b1,

[0088] In the formula, P is the static rock pressure, MPa; ρ is the average density of the overlying sediments, kg / m³. 3 g is the acceleration due to gravity, 9.8 m / s². 2 H is the thickness of the overlying sediments or rock strata, in meters; Ro is the vitrinite reflectance of the rock sample; T is the temperature, in ℃; a1, a2, b1, and b2 are constants obtained by fitting the vitrinite reflectance test results of the rock sample.

[0089] In this invention, when the constants a1, a2, b1, and b2 are obtained by fitting the vitrinite reflectance test results in the hydrocarbon generation simulation experiment, the experiment... The formula is obtained by fitting the constants a2 and b2 after the vitrinite reflectance Ro value obtained from the sample after thermal simulation experiment of any closed system according to GB / T 6948-2008; the formula H=a1×lnRo+b1 is obtained by fitting the constants a1 and b1 after the vitrinite reflectance Ro value obtained from the wellbore of the target reservoir (coal or mudstone) according to GB / T 6948-2008.

[0090] Specifically, the isothermal time for the open system test is 24-26 hours, for example, it can be 24 hours, 24.5 hours, 25 hours, 25.5 hours or 26 hours, but is not limited to the listed values. Other unlisted values ​​within this range also meet the requirements.

[0091] Specifically, the amount of water added in the open system test is 10-12% of the mass of the source rock sample, for example, it can be 10%, 10.2%, 10.4%, 10.6%, 10.8%, 11%, 11.2%, 11.4%, 11.6%, 11.8%, or 12%, etc., but is not limited to the listed values. Other unlisted values ​​within this range are also acceptable.

[0092] Specifically, the source rock samples used in the open system experiment underwent soluble organic matter removal and extraction.

[0093] In this invention, the removal and extraction of soluble organic matter includes extracting the sample with dichloromethane for more than 24 hours.

[0094] In this invention, the apparatus, test steps, and thermal simulated gas metering and collection used in the hydrocarbon generation simulation test can be selected to be carried out in accordance with the relevant provisions of "Semi-closed system thermal pressure hydrocarbon generation and emission simulation test apparatus" in SY / T 7616-2021, or according to the conventional hydrocarbon generation simulation test process in this field, but the control conditions of this application must be met. After the thermal simulated gas metering is completed, it is collected in a glass bottle containing saturated saline solution by water displacement. The gas should be organically analyzed within one week to prevent the gas from dissolving in water and affecting the accuracy of the analysis data.

[0095] The target components in the natural gas composition analysis include C1-C5 hydrocarbons, CO2, N2, and H2S.

[0096] The establishment of a natural gas gene identification chart for high-to-overmature multi-closed systems by screening parameters with differences includes:

[0097] Based on iC4 / nC4~C1 / C 1-5 δ 13 C1~δ 13 A chart for identifying the genesis of natural gas in different closed systems at high-to-overmaturation stages was established using C2 and aromatic hydrocarbons to n-alkanes.

[0098] Furthermore, this embodiment provides an apparatus for generating a natural gas genesis identification chart, as shown in Figure 2. The apparatus includes:

[0099] The gaseous analysis gas acquisition module is used to conduct hydrocarbon generation simulation experiments on source rock samples and acquire gaseous analysis gas.

[0100] The analysis module is used to perform natural gas composition analysis, natural gas C6-C8 light hydrocarbon composition analysis, and natural gas C1-C5 carbon isotope and hydrogen isotope analysis on the obtained gaseous analysis gas.

[0101] The identification chart acquisition module is used to draw gas component-gas component relationship diagrams, light hydrocarbon component-light hydrocarbon component relationship diagrams, and hydrocarbon gas carbon isotope-carbon isotope relationship diagrams for different closed systems, and to screen parameters with differences to establish natural gas genesis identification charts for high-to-overmature multi-closed systems.

[0102] Regarding the apparatus in the above embodiments, the specific manner in which each module performs its operation has been described in detail in the embodiments related to the method, and will not be elaborated upon here.

[0103] Furthermore, the present invention provides an electronic device 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 may 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.

[0104] As shown in Figure 3, 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 programs stored in the ROM 12 or loaded from storage unit 18 into the RAM 13. The RAM 13 can 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 I / O interface 15 is also connected to the bus 14.

[0105] 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.

[0106] 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 method for generating natural gas gene identification maps.

[0107] In some embodiments, the method for generating a natural gas genesis identification chart can 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 can 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 generating a natural gas genesis identification chart described above can be performed. Alternatively, in other embodiments, processor 11 can be configured to perform the method for generating a natural gas genesis identification chart by any other suitable means (e.g., by means of firmware).

[0108] 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), payload-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.

[0109] 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.

[0110] 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.

[0111] 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).

[0112] 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.

[0113] 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.

[0114] The server provided in this embodiment includes: a memory, a processor, and a computer program stored in the memory and capable of running on the processor. When the processor executes the program, it implements the above-mentioned method for generating a natural gas gene identification chart.

[0115] Unless otherwise specifically stated, terms such as processing, calculation, operation, determination, display, etc., may refer to the actions and / or processes of one or more processing or computing systems or similar devices that represent the manipulation and conversion of data representing physical (e.g., electronic) quantities within the registers or memory of the processing system into other data similarly representing physical quantities within the memory, registers, or other such information storage, transmission, or display devices of the processing system. Information and signals can be represented using any of a variety of different techniques and methods. For example, data, instructions, commands, information, signals, bits, symbols, and chips mentioned throughout the above description can be represented by voltage, current, electromagnetic waves, magnetic fields or particles, light fields or particles, or any combination thereof.

[0116] Those skilled in the art will also understand that the various illustrative logic blocks, modules, circuits, and algorithm steps described in conjunction with embodiments of the present invention can all be implemented as electronic hardware, computer software, or a combination thereof. To clearly illustrate the interchangeability between hardware and software, the various illustrative components, blocks, modules, circuits, and steps described above are generally described in terms of their functionality. Whether this functionality is implemented as hardware or software depends on the specific application and the design constraints imposed on the overall system. Those skilled in the art can implement the described functionality in alternative ways for each specific application; however, such implementation decisions should not be construed as departing from the scope of protection of the present invention.

[0117] The steps of the methods or algorithms described in conjunction with the embodiments herein can be directly embodied in hardware, software modules executed by a processor, or a combination thereof. The software modules can reside in RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, hard disks, removable disks, CD-ROMs, or any other form of storage medium well known in the art. An exemplary storage medium is connected to the processor, enabling the processor to read information from and write information to the storage medium. Of course, the storage medium can also be a component of the processor. The processor and storage medium can reside in an ASIC. The ASIC can reside in a user terminal. Alternatively, the processor and storage medium can exist as discrete components in the user terminal.

[0118] For software implementation, the techniques described in this invention can be implemented using modules (e.g., procedures, functions, etc.) that perform the functions described in this application. This software code can be stored in memory units and executed by a processor. The memory units can be implemented within the processor or externally; in the latter case, they are communicatively coupled to the processor via various means, as is well known in the art.

[0119] Furthermore, to illustrate the excellent theoretical support achieved by the method for generating natural gas gene identification charts provided by this invention, the following practical example is used for illustrative purposes:

[0120] Example 1

[0121] This embodiment provides a method for generating a natural gas gene identification chart for a multi-closed system in the high-to-overmaturity stage. The process is shown in Figure 4, and the details are as follows:

[0122] 1. Sampling principles and sample preparation of source rocks

[0123] Collect 3000g of marine shale from the Xiamaling Formation of the Mesoproterozoic in the Xiahuayuan area of ​​Zhangjiakou. Remove the weathered surface and retain the fresh blocky sample. Crush the sample to 3-5mm, mix it evenly, bake it in an oven at 80℃ for 2 hours, and then place it in a desiccator for later use.

[0124] A 5g sample was taken for analysis of rock organic carbon and rock pyrolysis. The total organic carbon content of the sample was 8.55%, the hydrogen index was 548 mg / gc, and the highest pyrolysis peak temperature was 435℃.

[0125] Take 150g of the well-crushed sample and extract it with dichloromethane for 24 hours to remove the soluble organic matter. After extraction, dry the residue and prepare it for use in the open system (Program C).

[0126] 2. Experimental methods and conditions for hydrocarbon generation simulation in multi-closed systems

[0127] Three schemes are included: a closed system (Scheme A), an open system (Scheme C), and a semi-closed / semi-open system (Scheme B). The experimental temperature, isothermal time, water volume, static rock pressure, hydrocarbon discharge pressure, and sample addition method for the three schemes are shown in Table 1 below. Among them, the static rock pressure P and temperature T satisfy the constraint relationship: P = ρgH, H = a1 × lnRo + b1. In the formula, P is the static rock pressure, MPa; ρ is the average density of the overlying sediments, kg / m³. 3 g is the acceleration due to gravity, 9.8 m / s². 2 H represents the thickness of the overlying sediments or rock strata, in meters; Ro represents the vitrinite reflectance of the rock sample, in percentages; T represents the temperature, in degrees Celsius; a1, a2, b1, and b2 are constants obtained by fitting the vitrinite reflectance test results of the rock samples. The formulas are derived by fitting the constants a2 and b2 after obtaining the vitrinite reflectance Ro value from samples obtained from thermal simulation experiments of existing closed systems according to GB / T 6948-2008; and by fitting the constants a2 and b2 from rock samples (coal or mudstone) obtained from wellbore drilling of the target reservoir according to GB / T 6948-2008, where the actual fitted formula is: Ro = 0.0768e 0.0067T H = 3228.5lnRo + 4399.7.

[0128] Table 1

[0129]

[0130] 3. Simulation experiment of hydrocarbon generation in a multi-closed system and acquisition of gaseous products

[0131] The experimental setup, procedures, and measurement and collection of the thermal simulated gas shall be performed in accordance with the relevant provisions of "Semi-closed System Thermocompression Hydrocarbon Generation and Exhaustion Simulation Experimental Apparatus" in SY / T 7616-2021. After the thermal simulated gas is measured, it shall be collected in a glass bottle containing saturated saline solution using the water displacement method. The gas should be subjected to organic geochemical analysis within one week to prevent the gas from dissolving in water and affecting the accuracy of the analytical data.

[0132] 4. Thermal simulation of organic geochemical analysis of multi-closed systems

[0133] The thermal simulation gas collected in the aforementioned steps was analyzed according to relevant national or industry analysis standards for natural gas composition (C1-C5 hydrocarbons and non-hydrocarbons such as CO2, N2, and H2S), natural gas C6-C8 light hydrocarbon composition, and natural gas C1-C5 carbon and hydrogen isotope analysis.

[0134] 5. Comparison of drawings and results

[0135] Based on the organic geochemical data obtained in the aforementioned steps, gas component-gas component relationship diagrams, light hydrocarbon component-light hydrocarbon component relationship diagrams, and hydrocarbon gas carbon isotope-carbon isotope relationship diagrams for different closed systems were compiled. Parameters showing differences were selected to establish a natural gas genesis identification chart for high-to-overmature multi-closed systems.

[0136] 6. Establish a chart for identifying the genesis of natural gas in multi-closed systems at high-to-over-mature stages.

[0137] Among the numerous maps compiled, parameters with significantly different values ​​under different system conditions were selected as identification indicators, including iC4 / nC4 to C1 / C. 1-5 δ 13 C1~δ 13 C2, aromatics to n-alkanes, establish natural gas genesis identification charts for different closed systems at high- to over-mature stages, as shown in Figures 5, 6 and 7 respectively.

[0138] Comparing the experimental results of different systems shows that:

[0139] In an open system, because the large molecular compounds formed in the early stages have been expelled, the gas exhibits a high dryness coefficient and heavy carbon isotopes of methane and ethane. Isoalkanes in the light hydrocarbon composition are more easily expelled, resulting in a relatively high abundance of n-alkanes. Simultaneously, the open system condition implies poor caprock sealing conditions, low oil and gas expulsion and accumulation coefficients, leading to low calculated oil and gas resources and limited exploration prospects. Exploration targets should primarily focus on traps in the overlying strata. In a closed system, however, high iC4 / nC4 ratios are observed. Methane has a lighter carbon isotope content, ethane has a heavier carbon isotope content, low n-alkanes content, and high aromatics content. Under closed system conditions, the caprock has good sealing conditions, and oil and gas mainly accumulate in the source gas furnace or oil and gas reservoir. The oil and gas discharge coefficient and accumulation coefficient are high, resulting in a large calculated oil and gas resource volume and a promising exploration prospect. The exploration target should be mainly the trap below the caprock. The semi-closed and semi-open system is between the two. Based on the results corresponding to the above map, the existing oil and gas reservoirs can be preliminarily identified, and efficient exploration of oil and gas reservoirs can be achieved.

[0140] The preferred embodiments of the present invention have been described in detail above. However, the present invention is not limited to the specific details in the above embodiments. Within the scope of the technical concept of the present invention, various simple modifications can be made to the technical solution of the present invention, and these simple modifications all fall within the protection scope of the present invention.

[0141] It should also be noted that the various specific technical features described in the above specific embodiments can be combined in any suitable manner without contradiction. In order to avoid unnecessary repetition, the present invention will not describe the various possible combinations separately.

[0142] Furthermore, various different embodiments of the present invention can be combined in any way, as long as they do not violate the spirit of the present invention, they should also be regarded as the content disclosed by the present invention.

Claims

1. A method for generating a natural gas gene identification chart, characterized in that, The generation method includes: conducting hydrocarbon generation simulation experiments on source rock samples to obtain gaseous analytical gas; performing natural gas composition analysis, natural gas C6-C8 light hydrocarbon composition analysis, and natural gas C1-C5 carbon isotope and hydrogen isotope analysis on the obtained gaseous analytical gas; drawing gas component-gas component relationship diagrams, light hydrocarbon component-light hydrocarbon component relationship diagrams, and hydrocarbon gas carbon isotope-carbon isotope relationship diagrams for different closed systems; and screening parameters with differences to establish a genetic identification chart for natural gas in high-to-overmature multi-closed systems.

2. The generation method as described in claim 1, characterized in that, The lithology of the source rock sample includes one or a combination of at least two of the following: dark mudstone and shale, marine carbonate rock, coal-bearing mudstone, or carbonaceous mudstone; preferably, the source rock sample includes outcrop samples and / or downhole samples; preferably, the source rock sample is an unweathered and homogeneous sample; preferably, the grain size of the source rock sample is 3-5 mm.

3. The generation method as described in claim 1 or 2, characterized in that, The hydrocarbon generation simulation experiments include closed system experiments, open system experiments, and semi-closed / semi-open system experiments.

4. The generation method as described in claim 3, characterized in that, The hydrocarbon expulsion pressure threshold for the closed-system test is 65-70 MPa; preferably, the closed-system test includes: selecting at least 14 temperature points within a temperature range of 200-600℃ for a stepped temperature test, with each temperature point test using a new sample; preferably, the relationship between the static rock pressure P and temperature T in the closed-system test is: P = ρgH, H = a1 × lnRo + b1, Ro = a2 × e b2T In the formula, P is the static rock pressure, MPa; ρ is the average density of the overlying sediments, kg / m³. 3 g is the acceleration due to gravity, 9.8 m / s². 2 H is the thickness of the overlying sediments or rock strata, in meters; Ro is the vitrinite reflectance of the rock sample; T is the temperature, in °C; a1, a2, b1, and b2 are constants obtained by fitting the vitrinite reflectance test results of the rock sample; preferably, the isothermal time of the closed system test is 24-26 hours; preferably, the water added to the closed system test is 10-12% of the mass of the source rock sample; preferably, the hydrocarbon expulsion pressure of the semi-closed and semi-open system test is 30-40 MPa; preferably, the semi-closed and semi-open system test includes: selecting at least 14 temperature points within a temperature range of 200-600 °C for a stepped temperature test, with each temperature point test using a new sample; preferably, the relationship between the static rock pressure P and the temperature T in the semi-closed and semi-open system test is: P = ρgH, H = a1 × lnRo + b1, Ro = a2 × e b2T In the formula, P is the static rock pressure, MPa; ρ is the average density of the overlying sediments, kg / m³. 3 g is the acceleration due to gravity, 9.8 m / s². 2 H is the thickness of the overlying sediments or rock strata, in meters; Ro is the vitrinite reflectance of the rock sample; T is the temperature, in ℃; a1, a2, b1, and b2 are constants obtained by fitting the vitrinite reflectance test results of the rock sample; preferably, the isothermal time of the semi-closed and semi-open system test is 24-26 hours; preferably, the amount of water added to the semi-closed and semi-open system test is 10-12% of the mass of the source rock sample.

5. The generation method as described in claim 3, characterized in that, The hydrocarbon expulsion pressure of the open system test is 4-6 MPa; preferably, the open system test includes: selecting at least 14 temperature points within a temperature range of 200-600℃ for a stepped temperature test; preferably, the relationship between the static rock pressure P and the temperature T of the open system test is: P = ρgH, H = a1 × lnRo + b1, Ro = a2 × e b2T In the formula, P is the static rock pressure, MPa; ρ is the average density of the overlying sediments, kg / m³. 3 g is the acceleration due to gravity, 9.8 m / s². 2 H is the thickness of the overlying sediments or rock strata, in meters; Ro is the vitrinite reflectance of the rock sample; T is the temperature, in ℃; a1, a2, b1, and b2 are constants obtained by fitting the vitrinite reflectance test results of the rock sample; preferably, the isothermal time of the open system test is 24-26 hours; preferably, the amount of water added to the open system test is 10-12% of the mass of the source rock sample; preferably, the source rock sample used in the open system test undergoes soluble organic matter removal and extraction.

6. The generation method according to any one of claims 1-5, characterized in that, The target components in the natural gas composition analysis include C1-C5 hydrocarbons, CO2, N2, and H2S.

7. The generation method according to any one of claims 1-6, characterized in that, The screening of parameters showing differences is used to establish a natural gas gene identification chart for high-to-overmature multi-closed systems, including: based on iC4 / nC4 to C1 / C4. 1-5 δ 13 C1~δ 13 A chart for identifying the genesis of natural gas in different closed systems at high-to-overmaturation stages was established using C2 and aromatic hydrocarbons to n-alkanes.

8. An apparatus for generating a natural gas genesis identification chart, characterized in that, The generation device includes: a gaseous analysis gas acquisition module for conducting hydrocarbon generation simulation experiments on source rock samples to acquire gaseous analysis gas; an analysis module for performing natural gas composition analysis, natural gas C6-C8 light hydrocarbon composition analysis, and natural gas C1-C5 carbon isotope and hydrogen isotope analysis on the obtained gaseous analysis gas; and an identification chart acquisition module for drawing gas component-gas component relationship diagrams, light hydrocarbon component-light hydrocarbon component relationship diagrams, and hydrocarbon gas carbon isotope-carbon isotope relationship diagrams for different closed systems, and screening parameters with differences to establish natural gas genesis identification charts for high-to-overmature multi-closed systems.

9. 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, the computer program being executed by the at least one processor to enable the at least one processor to perform the method for generating a natural gas genesis identification chart according to any one of claims 1-7.

10. A computer storage medium, characterized in that, The computer storage medium stores computer-executable instructions, which, when executed by a processor, implement the method for generating a natural gas genesis identification chart as described in any one of claims 1-7.

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