Resource abundance evaluation method and device for shale heating products

Abstract

The invention relates to the technical field of oil-gas exploration and development, and provides a resource abundance evaluation method and device for shale heating products. The method comprises the following steps: determining a pre-exponential factor calculation model influenced by different heating rates and different fluid pressures on the basis of the quantity of each product generated when the unit mass convertible organic matter is heated to each preset temperature under each preset heating rate and each preset fluid pressure condition, wherein the quantity of each product is obtained by carrying out a heating simulation experiment on a plurality of shale samples; according to the method, the reaction rate and the conversion rate of each product are further obtained, and the resource abundance of each product which can be extracted in unit area under different heating rates and different fluid pressures is calculated based on the conversion rate of each product, so that quantitative calculation of the resource abundance of each product under different heating rates and different fluid pressures can be realized; and the calculation precision of the resource abundance is ensured, the classification evaluation problem of different products in shale in-situ conversion development is solved, and a basis is provided for predicting the oil and gas resource quantity and development of different types of products.

Description

Technical Field

[0001] The present invention relates to the technical field of oil and gas exploration and development, and in particular to a method and device for evaluating the resource abundance of various products of shale heating. Background Art

[0002] Medium and low maturity shales have the characteristics of low organic matter conversion rate, undeveloped organic pores, and low gas-oil ratio, which leads to poor fluidity of fluids in the formation. In the prior art, medium and low maturity shales are mainly mined by in-situ conversion. When developing medium and low maturity shale oil, in-situ conversion requires artificial heating to crack the organic matter and generated oil in the formation to generate hydrocarbons, thereby developing oil and gas from the formation. In the in-situ conversion process, due to the control of different burial depths, input energy rates, etc., the proportions of various products (hydrocarbon gas, light oil and heavy oil) generated are different. Due to the different sales prices of various products, under the same conditions of total recoverable hydrocarbons, the proportions of various products produced are different, and the development benefits are different. Therefore, it is necessary to evaluate the resource abundance of each recoverable product separately to improve the accuracy of the selection evaluation and the development benefits.

[0003] Thermal simulation experiments are the basis for conducting organic matter resource abundance evaluation. Existing thermal simulation experimental methods are all based on the kinetic mechanism of hydrocarbon generation. The reaction kinetic models established based on reaction rate constant, molar gas constant, temperature and activation energy only consider the effects of temperature and time, but do not consider the effects of fluid pressure, heating rate, etc., and only consider the reaction rate and total conversion rate of organic matter. No research is conducted on the reaction rate and conversion rate of each product. Therefore, it is impossible to study the resource abundance of each product generated by organic matter separately, and thus it is impossible to conduct resource evaluation for each product.

[0004] In addition, although there have been studies on the effect of fluid pressure on the reaction rate of organic matter in the prior art, the more consistent understanding in the existing research is that fluid pressure inhibits the generation of hydrocarbons from organic matter and delays the conversion rate of organic matter. Under the same other conditions, there are differences in the composition and amount of hydrocarbons generated by different fluid pressures, but this is only a qualitative understanding, and no quantitative model or calculation method has been given. Therefore, when using the existing technology to study the generation of hydrocarbons from organic matter, the quantitative effect of fluid pressure cannot be considered. Summary of the invention

[0005] This paper aims to solve the problem that in the existing technology, the thermal simulation experiment based on the reaction kinetic model can only determine the total hydrocarbon amount, and then only study the resource abundance of the total hydrocarbon, but cannot determine and evaluate the resource abundance of each type of product. In addition, the reaction kinetic model does not consider the influence of fluid pressure and heating rate on the amount of each type of product generated. Therefore, there is a problem of inaccurate determination of the total hydrocarbon amount.

[0006] In order to solve the above technical problems, this paper provides a method for evaluating the resource abundance of various products of shale heating, including:

[0007] Conducting a heating simulation experiment on a plurality of shale samples to obtain the amount of each product generated when a unit mass of convertible organic matter is heated to each preset temperature under each preset heating rate and each preset fluid pressure condition;

[0008] According to the amount of each product generated when the unit mass of convertible organic matter is heated to each preset temperature under each preset heating rate and each preset fluid pressure condition, a pre-exponential factor calculation model of each product under different heating rates and different fluid pressures is established;

[0009] Based on the pre-exponential factor calculation model of each product at different heating rates and different fluid pressures, a reaction rate calculation model for generating each product from unit mass of convertible organic matter at each temperature was established;

[0010] Determine a conversion rate calculation model for each product per unit mass of convertible organic matter at each temperature based on a reaction rate calculation model for generating each product per unit mass of convertible organic matter at each temperature;

[0011] Calculate the resource abundance of each product that can be recovered per unit area based on the total organic carbon content and the proportion of convertible organic matter per unit mass of rock, the conversion rate calculation model of each product, the proportion of each recoverable product to each generated product, and the thickness of the target layer of rock;

[0012] The resource abundance of each product that can be produced is evaluated using the lower limit of the resource abundance of each product.

[0013] As a further embodiment of this invention, the pre-exponential factor calculation model of each product at different heating rates and different fluid pressures is expressed by the following formula:

[0014] A fi =a i ×exp(P / b i )-ln(r);

[0015] Among them: A fi is the pre-exponential factor of product i; P is the fluid pressure; r is the heating rate; a i 、b i It is obtained by fitting the pre-exponential factor calculated according to the product amount of product i under each preset heating rate and each preset fluid pressure condition.

[0016] As a further embodiment of this invention, the reaction rate calculation model of unit mass of convertible organic matter to generate each product at each temperature is expressed by the following formula:

[0017] k i =Afi ×exp(–Ea i / RT);

[0018] Where: k i is the reaction rate of product i; Ea i is the activation energy of product i; R is the molar gas constant; T is the reaction temperature.

[0019] As a further embodiment of this invention, the conversion rate calculation model of each product per unit mass of convertible organic matter at each temperature is expressed by the following formula:

[0020]

[0021] k i =A fi ×exp(–Ea i / RT);

[0022] Where: fi is the conversion rate of unit mass of convertible organic product i at temperature T2; T1 is the starting temperature of the thermal simulation experiment; T2 is the current temperature of the thermal simulation experiment; T is the reaction temperature; k i is the reaction rate of product i; A fi is the pre-exponential factor of product i; Ea i is the activation energy of product i; R is the molar gas constant.

[0023] As a further embodiment of the present invention, the resource abundance of each product that can be recovered per unit area is calculated according to the total organic carbon content and the proportion of convertible organic matter per unit mass of rock, the conversion rate calculation model of each product, the proportion of each recoverable product to each generated product and the target layer thickness of the rock, including:

[0024] Calculate the amount of each product generated per unit mass of rock according to the total organic carbon content per unit mass of rock, the proportion of convertible organic matter, the conversion rate calculation model of each product, and the proportion of each recoverable product to each generated product;

[0025] Based on the amount of each product generated per unit mass of rock and the thickness of the target layer of rock, the resource abundance of each product that can be produced per unit area is calculated.

[0026] As a further embodiment of the present invention, the amount of each product generated by unit mass of rock is calculated according to the total organic carbon content of unit mass of rock, the proportion of convertible organic matter, the conversion rate calculation model of each product, and the proportion of each recoverable product to each generated product, including using the following formula to calculate the amount of each product generated by unit mass of rock:

[0027] Q i =R i ×OC ratio ×TOC×fi ;

[0028] OC ratio =q / TO;

[0029] Where: Q i is the amount of product i generated per unit mass of rock; R i is the ratio of the recoverable amount of product i to the generated amount; OC ratio is the proportion of convertible organic matter; TOC is the total organic carbon content per unit mass of rock; f i is the conversion rate of product i; q is the total hydrocarbon generation amount obtained at the end of thermal simulation of rock sample; TO is the total organic carbon content of rock sample.

[0030] As a further embodiment of the present invention, the resource abundance of each product that can be produced per unit area is calculated based on the amount of each product generated per unit mass of rock and the thickness of the target layer of rock, including calculating the resource abundance of each product using the following formula:

[0031] N i =Q i ×H;

[0032] Where: N i is the resource abundance of each product that can be produced per unit area; Q i is the amount of each product that can be produced per unit mass of rock; H is the thickness of the target layer of rock.

[0033] As a further embodiment of this article, it also includes:

[0034] According to the conversion rate calculation model of each product per unit mass of convertible organic matter at each temperature, the total conversion rate of organic matter at each temperature is calculated;

[0035] The total amount of hydrocarbons generated per unit mass of rock is calculated based on the total organic carbon content per unit mass of rock and the proportion of convertible organic matter, the total organic matter conversion rate and the proportion of each recoverable product to each generated product; or the total amount of hydrocarbons generated per unit mass of rock is calculated based on the amount of each product generated per unit mass of rock and the proportion of each recoverable product to each generated product;

[0036] Calculate the total hydrocarbon resource abundance that can be recovered per unit area based on the total hydrocarbon generated per unit mass of rock and the thickness of the target layer;

[0037] The lower limit of the total hydrocarbon resource abundance is used to evaluate the recoverable total hydrocarbon resource abundance.

[0038] As a further embodiment of this article, for the resource abundance of each dimension, if the resource abundance of this dimension is greater than the lower limit value of this dimension, the area where the rock sample is located is determined to be a sweet spot, otherwise, it is a non-sweet spot; wherein the dimension includes each product and total hydrocarbons.

[0039] The second aspect of the present invention provides a resource abundance evaluation device for various products of shale heating, comprising:

[0040] A data acquisition unit, used to perform a heating simulation experiment on a plurality of shale samples to obtain the amount of each product generated when a unit mass of convertible organic matter is heated to each preset temperature under each preset heating rate and each preset fluid pressure condition;

[0041] A pre-exponential factor analysis unit is used to establish a pre-exponential factor calculation model for each product at different heating rates and different fluid pressures according to the amount of each product generated when the unit mass of convertible organic matter is heated to each preset temperature under each preset heating rate and each preset fluid pressure condition;

[0042] A reaction rate analysis unit is used to establish a reaction rate calculation model for generating each product from unit mass of convertible organic matter at each temperature based on a pre-exponential factor calculation model of each product at different heating rates and different fluid pressures;

[0043] A conversion rate analysis unit, for determining a conversion rate calculation model for each product per unit mass of convertible organic matter at each temperature based on a reaction rate calculation model for generating each product per unit mass of convertible organic matter at each temperature;

[0044] A resource abundance calculation unit, used to calculate the resource abundance of each product that can be recovered per unit area according to the total organic carbon content and the proportion of convertible organic matter per unit mass of rock, the conversion rate calculation model of each product, the proportion of each recoverable product to each generated product and the thickness of the target layer of rock;

[0045] The evaluation unit is used to evaluate the resource abundance of each product that can be produced by using the lower limit value of the resource abundance of each product.

[0046] A third aspect of the present invention provides a computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the method described in any of the foregoing embodiments when executing the computer program.

[0047] A fourth aspect of the present invention provides a computer storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor of a computer device, implements the method described in any of the foregoing embodiments.

[0048] The resource abundance evaluation method and device for shale heating products provided in this embodiment are based on the amount of each product generated when a unit mass of convertible organic matter is heated to each preset temperature under each preset heating rate and each preset fluid pressure condition, obtained by performing heating simulation experiments on multiple shale samples. The pre-exponential factor calculation model affected by different heating rates and different fluid pressures can be determined, and then the reaction rate calculation model for generating each product from a unit mass of convertible organic matter when the temperature is increased to each temperature under different heating rates and different fluid pressure conditions and the conversion rate calculation model for each product are analyzed and obtained; based on the conversion rate calculation model for each product, the resource abundance of each product that can be produced per unit area when the temperature is increased to different temperatures under different heating rates and different fluid pressures is calculated, and the quantitative calculation of the resource abundance of each product when the temperature is increased to each temperature under different heating rates and different fluid pressures can be realized, and the calculation accuracy of the resource abundance can be guaranteed. Furthermore, by using the lower limit of the resource abundance of each product to evaluate the resource abundance of each recoverable product, it is possible to solve the problem of classification and evaluation of different products (hydrocarbon resources) in in-situ conversion development, and provide a basis for predicting the oil and gas resource quantity and development of different types of products.

[0049] In order to make the above and other purposes, features and advantages of this article more obvious and easy to understand, the following specifically cites preferred embodiments and describes them in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] In order to more clearly illustrate the technical solutions in the embodiments of this article or the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of this article. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0051] Figure 1 A first flow chart of the method for evaluating resource abundance of various products of shale heating in the embodiment of this invention is shown;

[0052] Figure 2 (A) to (C) show the relationship between the fluid pressure and pre-exponential factor of hydrocarbon gas, light oil and heavy oil produced in a low-maturity shale thermal simulation experiment in a certain place in the embodiments of this article;

[0053] Figure 3 (A) to (C) in the examples of this article respectively show the relationship between the temperature and the conversion rate of hydrocarbon generated by the hydrocarbon gas, light oil and heavy oil produced by the low-maturity shale thermal simulation experiment at a certain location under different heating rate conditions;

[0054] Figure 4(A) to (C) in the examples of this article respectively show the relationship between the temperature and the conversion rate of hydrocarbons produced by the low-maturity shale thermal simulation experiment in a certain place, light oil and heavy oil under different fluid pressure conditions;

[0055] Figure 5 (A) to (C) show the relationship between temperature and conversion rate of hydrocarbon gas, light oil and heavy oil in a low-maturity shale thermal simulation experiment at a certain location in the embodiment of this invention at a heating rate of 5°C / day and different fluid pressure conditions;

[0056] Figure 6 A flow chart showing the resource abundance calculation process of the embodiment of this article is shown;

[0057] Figure 7 A second flow chart of the method for evaluating resource abundance of various products of shale heating in the embodiment of this invention is shown;

[0058] Figure 8 (A) to (C) show the relationship between temperature and conversion rate of hydrocarbon gas, light oil and heavy oil in a low-maturity shale thermal simulation experiment at a certain location in the embodiment of this article under a fluid pressure of 14 MPa and different heating rates;

[0059] Fig. 9 The structural diagram of the resource abundance evaluation device for each product of shale heating in the embodiment of this article is shown;

[0060] Fig.10 A structural diagram of a computer device according to an embodiment of the present invention is shown;

[0061] Fig.11 A schematic diagram of the thermal simulation experimental equipment of the embodiment of this article is shown.

[0062] Description of the accompanying symbols:

[0063] 20. Fluid control equipment;

[0064] 21. Heating equipment;

[0065] 22. Heavy oil collection and quantitative equipment;

[0066] 23. Light oil collection and quantitative equipment;

[0067] 24. Gas collection and quantitative equipment;

[0068] 25. Gas analysis equipment;

[0069] 221. Extraction control equipment;

[0070] 222. Collector;

[0071] 223. Weighing device;

[0072] 231. Extraction control equipment;

[0073] 232. Collector;

[0074] 233. Weighing device;

[0075] 2211, condensation controller;

[0076] 2212, annular condensing device;

[0077] 2311, condensation controller;

[0078] 2312, annular condensation device;

[0079] 241. Gas collection tank;

[0080] 242. Measuring equipment;

[0081] 243. Vacuum pump;

[0082] 2421, gas flow meter;

[0083] 2422, pressure gauge;

[0084] 901, data acquisition unit;

[0085] 902, pre-factor analysis unit;

[0086] 903. Reaction rate analysis unit;

[0087] 904. Conversion rate analysis unit;

[0088] 905. Resource abundance calculation unit;

[0089] 906, evaluation unit;

[0090] 1002. Computer equipment;

[0091] 1004. Processor;

[0092] 1006. Memory;

[0093] 1008. Driving mechanism;

[0094] 1010, input / output module;

[0095] 1012. Input device;

[0096] 1014. Output device;

[0097] 1016. Presentation equipment;

[0098] 1018. Graphical user interface;

[0099] 1020. Network interface;

[0100] 1022. Communication link;

[0101] 1024. Communication bus. DETAILED DESCRIPTION

[0102] The following will be combined with the drawings in the embodiments of this article to clearly and completely describe the technical solutions in the embodiments of this article. Obviously, the described embodiments are only part of the embodiments of this article, not all of the embodiments. Based on the embodiments of this article, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this article.

[0103] It should be noted that the terms "including" and "having" and any variations thereof in the specification and claims of this document and the above-mentioned drawings are intended to cover non-exclusive inclusions. For example, a process, method, apparatus, product or equipment that includes a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units that are not explicitly listed or are inherent to these processes, methods, products or equipment.

[0104] This specification provides method operation steps as described in the embodiments or flow charts, but more or fewer operation steps may be included based on routine or non-creative work. The order of steps listed in the embodiments is only one way of executing the order of many steps and does not represent the only execution order. When the system or device product is executed in practice, it can be executed in the order of the method shown in the embodiments or the drawings or in parallel.

[0105] In one embodiment of the present invention, a method for evaluating the resource abundance of various products of shale heating is provided to solve the problem that the thermal simulation experiment based on the reaction kinetic model in the prior art can only determine the total hydrocarbon amount, and then only study the resource abundance of the total hydrocarbon, but cannot determine and evaluate the resource abundance of each product. In addition, the reaction kinetic model does not consider the influence of fluid pressure and heating rate on the amount of each product generated. Therefore, there is a problem of inaccurate total hydrocarbon amount. Specifically, Figure 1 As shown in the figure, the resource abundance evaluation methods of various products of shale heating include:

[0106] Step 101, performing a heating simulation experiment on a plurality of shale samples to obtain the amount of each product generated when a unit mass of convertible organic matter is heated to each preset temperature under each preset heating rate and each preset fluid pressure condition;

[0107] Step 102, according to the amount of each product generated when the unit mass of convertible organic matter is heated to each preset temperature under each preset heating rate and each preset fluid pressure condition, a pre-exponential factor calculation model of each product under different heating rates and different fluid pressures is established;

[0108] Step 103, based on the pre-exponential factor calculation model of each product at different heating rates and different fluid pressures, a reaction rate calculation model for generating each product from unit mass of convertible organic matter at each temperature is established;

[0109] Step 104, determining a conversion rate calculation model for each product per unit mass of convertible organic matter at each temperature based on a reaction rate calculation model for generating each product per unit mass of convertible organic matter at each temperature;

[0110] Step 105, calculating the resource abundance of each product that can be recovered per unit area according to the total organic carbon content of the rock per unit mass and the proportion of convertible organic matter, the conversion rate calculation model of each product, the proportion of each recoverable product to each generated product, and the thickness of the target layer of the rock;

[0111] Step 106, using the lower limit of the resource abundance of each product, evaluate the resource abundance of each product that can be produced.

[0112] This embodiment can achieve quantitative calculation of resource abundance of each product when heated to each temperature at different heating rates and different fluid pressures through steps 101 to 105, and ensure the calculation accuracy of resource abundance. Further, step 106 can solve the problem of classification and evaluation of different products in in-situ conversion development, and provide a basis for predicting the oil and gas resource volume and development of different types of products.

[0113] When step 101 is implemented, the preset heating rate is the heating rate when simulating shale heating, which can be set according to actual conditions, and the value thereof is not specifically limited in this article. The preset fluid pressure is the pressure of the environment in which the shale is heated, which can be set according to actual requests. During specific implementation, the simulation of the pressure of the environment can be achieved by injecting helium, nitrogen, etc. into the reactor, and the value thereof is not specifically limited in this article. During the thermal simulation experiment, a reactor with fluid pressure, heating rate and temperature control functions can be used for the experiment, and a collection and quantitative equipment can be set for each product to achieve the measurement of the generation of each product and the amount of each product that can be produced. The preset heating rate and preset fluid pressure of each shale sample are different, and they are heated to the preset temperature at their respective set heating rates, thereby obtaining the amount of each product generated and produced when heated to each preset temperature at each preset heating rate and each preset fluid pressure.

[0114] The amount of each product generated refers to the amount of each product that can be produced in the reactor and the amount of each product retained in the reactor. The products generated by shale heating include: hydrocarbon gas, light oil and heavy oil. 1 -C 5 The sum of the components of light oil refers to the C 6 -C14 The sum of the components of heavy oil refers to the C 15+ The sum of the components.

[0115] In one specific embodiment, the equipment used for the thermal simulation experiment is as follows Fig.11 As shown, it includes: a fluid control device 20, a heating device 21, a heavy oil collection and quantitative device 22, a light oil collection and quantitative device 23, a gas collection and quantitative device 24 and a gas analysis device 25.

[0116] The fluid control device 20 includes a vacuum pump and a control valve. The vacuum pump is connected to the heating device 21 through a pipeline, and is used to inject helium or nitrogen into the heating device 21 to control the fluid pressure environment of the rock sample. The control valve is set on the pipeline connecting the vacuum pump to the heating device 21, and is used to control the fluid pressure.

[0117] The heating device 21 is used to heat the rock sample in situ. Specifically, the heating device 21 includes a reactor, a temperature controller, and a temperature sensor. The reactor is used to accommodate the rock sample. The temperature sensor is arranged inside the reactor to measure the temperature inside the reactor. The temperature controller can adjust the heating rate to control the temperature inside the reactor to reach a predetermined temperature.

[0118] The heavy oil collection quantitative device 22 includes: an extraction control device 221, a collector 222, and a weighing device 223. The extraction control device 221 is arranged on the collector 222, and is used to control the temperature in the collector 222 so that the heavy oil condensation temperature is reached in the collector 222. The weighing device 223 is arranged at the bottom of the collector 222, and is used to quantitatively measure the heavy oil in the collector 222. The collector 222 is connected to the heating device 21. In a specific embodiment, the extraction control device 221 includes a condensation controller 2211 and an annular condensation device 2212, the condensation controller 2211 is connected to the annular condensation device, and is used to control the temperature in the annular condensation device 2212, and the annular condensation device 2212 is sleeved on the outside of the collector 222, and is used to control the solidification of the heavy oil in the condenser.

[0119] The light oil collection quantitative device 23 includes: an extraction control device 231, a collector 232, and a weighing device 233. The extraction control device 231 is arranged on the collector 232, and is used to control the temperature in the collector 232 so that the light oil condensation temperature is reached in the collector 232. The weighing device 233 is arranged at the bottom of the collector 232, and is used to quantitatively measure the light oil in the collector 232. The collector 222 is connected to the collector 232. In a specific embodiment, the extraction control device 231 includes a condensation controller 2311 and an annular condensation device 2312, the condensation controller 2311 is connected to the annular condensation device, and is used to control the temperature in the annular condensation device 2312, and the annular condensation device 2312 is sleeved on the outside of the collector 232, and is used to control the solidification of the light oil in the condenser.

[0120] The gas collection quantitative device 24 includes: a gas collection tank 241, a measuring device 242, and a vacuum pump 243. The gas collection tank 241 is connected to the collector 232 and is used to collect gas. The measuring device 242 is arranged at the entrance of the gas collection tank and is used to measure the gas volume and the pressure inside the gas collection tank. Specifically, the measuring device 242 includes a gas flow meter 2421 and a pressure gauge 2422. The gas flow meter 2421 is used to measure the gas volume, and the pressure gauge 2422 is used to measure the pressure inside the gas collection tank. The vacuum pump is used to evacuate the gas collection tank before collecting the gas.

[0121] The gas analysis device 25 is connected to the gas collection and quantitative device 24 and is used to analyze the amount of various gases. In some embodiments, the gas analysis device 25 uses a Wasson-Agilent 7890 gas chromatograph. Specifically, the gas chromatograph contains a flame ionization detector and two thermal conductivity detectors. One analysis can analyze hydrocarbon gases and H 2 S, CO 2 , H 2 , O 2 、N 2 Conduct testing.

[0122] The data measured by the weighing devices 223 and 233, the measuring device 242 and the gas analysis device 25 are experimental data.

[0123] This embodiment can realize accurate collection of heavy oil, light oil and gas by setting extraction control equipment, and can realize the cumulative output of products in the shale in-situ heating simulation process by setting weighing devices, measuring equipment and gas analysis equipment.

[0124] In specific implementation, the distance between the annular condenser and the collector in the heavy oil quantitative collection device and the light oil collection device is 2-3 mm. Through this setting, the product in the collector can be condensed without affecting the real-time weighing of the heavy oil and the light oil.

[0125] The collector in the heavy oil collection and quantitative equipment can collect most of the heavy oil, but some heavy oil adheres to the connecting pipeline from the heating equipment to the heavy oil collection and quantitative equipment, which leads to Fig.11 The system shown cannot accurately measure the amount of heavy oil. Taking this issue into consideration, in one embodiment of the present invention, the system used for the in-situ heating simulation experiment also includes: a flushing device and an analysis device.

[0126] The flushing device is connected to the connecting pipeline between the heating device and the heavy oil collection and quantitative device, and a petroleum flushing liquid is provided in the flushing device for flushing the connecting pipeline. In some implementations, the petroleum flushing liquid is selected from dichloromethane.

[0127] The flushing device is turned on after the shale sample is heated to each preset temperature and the heavy oil in the heavy oil collecting and quantitative device is discharged, and the petroleum flushing liquid flows into the connecting pipeline to obtain a mixed liquid, and the mixed liquid enters the collector in the heavy oil collecting and quantitative device.

[0128] The analysis device is connected to the collector in the heavy oil collection and quantitative device, and is used to receive the mixed liquid in the collector and analyze the mixed liquid to determine the amount of heavy oil in the connecting pipeline. During implementation, the mixed liquid in the collector can also be placed in the analysis device manually. The analysis device uses the internal standard method to calibrate the heavy oil content in the mixed liquid. Specifically, the internal standard is C 24 H 49 D. The analytical equipment determines the heavy oil content by comparing all peak areas in the chromatogram of the mixed liquid with the area of ​​the internal standard.

[0129] When step 102 is implemented, hydrocarbon generation kinetics software can be used to first calculate the pre-exponential factors of each product under each preset heating rate and each preset fluid pressure condition according to the amount of each product generated when the unit mass of convertible organic matter is heated to each preset temperature under each preset heating rate and each preset fluid pressure condition; then, based on each preset heating rate and each preset fluid pressure condition and their corresponding pre-exponential factors, a pre-exponential factor calculation model for each product under different heating rates and different fluid pressures is established. In one embodiment, the pre-exponential factor calculation model for each product under different heating rates and different fluid pressures is expressed using the following formula:

[0130] A fi = a i × exp(P / b i )-ln(r); (Formula 1)

[0131] Among them: A fi is the pre-exponential factor of product i, dimensionless; P is the fluid pressure, MPa; r is the heating rate, ℃ / day; a i 、b iIt is obtained by fitting the pre-exponential factor calculated according to each preset heating rate and each preset fluid pressure condition and the product amount of product i; i represents the type of product.

[0132] like Figure 2 As shown, Figure 2 (A) to (C) show the relationship between the fluid pressure and pre-exponential factor of hydrocarbon gas, light oil and heavy oil produced in a low-maturity shale thermal simulation experiment in a certain place in the embodiment of this article, where: Figure 2 The dots in the figure are the pre-exponential factors obtained under different fluid pressure conditions when the heating rates are 2℃ / day, 5℃ / day, and 20℃ / day, respectively. The relationship between the pre-exponential factors, fluid pressure and heating rate is established based on the obtained pre-exponential factors, so as to obtain a i 、b i , Figure 2 The a values ​​of the products in (A) to (C) are 1020.2, 2397.8, and 10322, respectively; the empirical parameter b is -5×10 -4 .

[0133] When step 103 is implemented, based on the Arrhenius equation, the reaction rate calculation model of unit mass of convertible organic matter to generate various products at various temperatures is expressed by the following formula:

[0134] k i = A fi × exp(–Ea i / RT); (Formula 2)

[0135] Where: k i is the reaction rate of product i, dimensionless; Ea i is the activation energy of product i, kcal / mol; R is the molar gas constant, kcal / mol·K; T is the reaction temperature.

[0136] Among them, the activation energy Ea of each product i It is obtained through experimental measurement that the molar gas constant is a constant, the reaction temperature T is the absolute temperature in the thermal simulation experiment, and the reaction rate is controlled by the heating rate, temperature and fluid pressure.

[0137] When step 104 is implemented, the conversion rate calculation model of each product per unit mass of convertible organic matter at each temperature is expressed by the following formula:

[0138]

[0139] Among them, ki is expressed by formula 1, which is the reaction rate constant of product i at dT; fi is the conversion rate of each unit mass of convertible organic matter at temperature T2, a decimal; T1 is the starting temperature of the thermal simulation experiment; T2 is the current temperature of the thermal simulation experiment, and T is the reaction temperature. The conversion rate is controlled by the heating rate, temperature and fluid pressure. The conversion rate of each product is the normalized mass conversion rate.

[0140] like Figure 3 As shown, Figure 3 (A) to (C) show the relationship between the temperature and hydrocarbon conversion rate of hydrocarbon gas, light oil and heavy oil produced in a low-maturity shale thermal simulation experiment at a certain location in the embodiments of this article under different heating rate conditions, where the heating rates are 2°C / day, 5°C / day and 20°C / day, respectively.

[0141] like Figure 4 As shown, Figure 4 (A) to (C) show the relationship between the temperature and the conversion rate of hydrocarbon generated of hydrocarbon gas, light oil and heavy oil produced in a low-maturity shale thermal simulation experiment in a certain place in the embodiments of this article under different fluid pressure conditions, where the fluid pressures are 7MPa, 14MPa and 32MPa respectively.

[0142] like Figure 5 As shown, Figure 5 (A) to (C) respectively show the temperature and conversion rate relationship diagrams of hydrocarbon gas, light oil and heavy oil in a low-maturity shale thermal simulation experiment in a certain location in the embodiment of this article at a heating rate of 5°C / day and different fluid pressure conditions. Specifically, the fluid pressures are 7MPa, 14MPa and 32MPa, respectively.

[0143] Furthermore, based on the conversion rate of each product per unit mass of convertible organic matter, the amount of each product generated can also be calculated. The specific calculation formula is as follows:

[0144] q i =OC×f i ; (Formula 4)

[0145] Among them, q i is the amount of product i generated by convertible organic matter, mg / g; OC is the convertible organic matter per unit mass, mg / g.TOC; f i It is the conversion rate of product i per unit mass of convertible organic matter, a decimal.

[0146] The total amount of hydrocarbons generated per unit mass of convertible organic matter can be obtained by adding up the amounts of each product.

[0147] When step 105 is implemented, Figure 6 As shown, including:

[0148] Step 1051, calculating the amount of each product generated per unit mass of rock according to the total organic carbon content per unit mass of rock, the proportion of convertible organic matter, the conversion rate calculation model of each product, and the proportion of each recoverable product to each generated product;

[0149] Step 1052, calculate the resource abundance of each product that can be produced per unit area based on the amount of each product generated per unit mass of rock and the thickness of the target layer of rock.

[0150] The ratio of each product that can be extracted to each product generated is an empirical parameter, which can be determined according to the geological environment. When step 1051 is implemented, the amount of each product generated per unit mass of rock is calculated using the following formula:

[0151] Q i =R i ×OC ratio ×TOC×f i ; (Formula 5)

[0152] OC ratio =q / TO; (Formula 6)

[0153] Where: Q i is the amount of product i generated per unit mass of rock, g; R i The ratio of the output of recoverable product i to the generated amount, decimal; OC ratio is the proportion of convertible organic matter, decimal; TOC is the total organic carbon content per unit mass of rock, decimal; f i is the conversion rate of product i, a decimal; q is the total hydrocarbon generation amount obtained at the end of the thermal simulation of the rock sample, g; TO is the total organic carbon content of the rock sample, g, which can be measured by existing instruments.

[0154] Step 1052 is implemented in real time and includes calculating the resource abundance of each product using the following formula:

[0155] N i = Q i ×H; (Formula 7)

[0156] Where: N i is the resource abundance of each product that can be extracted per unit area, m 3 / km 2 ;Q i is the amount of each product that can be recovered per unit mass of rock, mg / g; H is the thickness of the target layer of rock, m.

[0157] When step 106 is implemented, for the resource abundance of each product, if the resource abundance of the product is greater than the lower limit value of the product, the area where the rock sample is located is determined to be a sweet spot, that is, it can be developed; otherwise, it is a non-sweet spot, that is, it cannot be developed under the existing technical and economic conditions. The lower limit value of each product can be determined based on the development cost per unit area (comprehensive development cost, abandonment cost, sunk cost, etc.), the price of each product, and the resource abundance of each product.

[0158] In one embodiment of this invention, Figure 7 As shown, the resource abundance evaluation method of each product of shale heating also includes:

[0159] Step 107, calculating the total conversion rate of organic matter at each temperature according to the conversion rate calculation model of each product per unit mass of convertible organic matter at each temperature.

[0160] When this step is implemented, the total conversion rate of organic matter under temperature T is calculated according to the following formula:

[0161]

[0162] Where: f T is the total conversion rate of convertible organic matter under temperature T, a decimal; f i is the conversion rate of unit mass of convertible organic matter to product i under temperature T, a decimal; n is the number of products, that is, 3.

[0163] like Figure 5 and Figure 8 As shown, Figure 5 (A) to (C) show the temperature-conversion rate relationship diagrams of hydrocarbon gas, light oil and heavy oil in a low-maturity shale thermal simulation experiment in a certain location in the embodiment of this article at a heating rate of 5°C / day and different fluid pressure conditions, and the fluid pressures are 7MPa, 14MPa and 32MPa, respectively. Figure 8 (A) to (C) respectively show the temperature and conversion rate relationship diagrams of hydrocarbon gas, light oil and heavy oil in a low-maturity shale thermal simulation experiment in a certain place in the examples of this article at a fluid pressure of 14 MPa and different heating rates. The heating rates are 0.2℃ / day, 0.5℃ / day, 1℃ / day, 5℃ / day, 10℃ / day, 15℃ / day, 20℃ / day and 30℃ / day, respectively.

[0164] Step 108, calculate the total hydrocarbon generated per unit mass of rock based on the total organic carbon content per unit mass of rock and the proportion of convertible organic matter, the total organic matter conversion rate and the proportion of each recoverable product to each generated product.

[0165] The calculation formula for the total hydrocarbon generated per unit mass of rock is:

[0166] Q=R×OCratio ×TOC×f T (Formula 9)

[0167] Where: Q is the total hydrocarbon generated per unit mass of rock, m 3 ; R is the ratio of each recoverable product to each generated product, decimal; OC ratio is the percentage of convertible organic matter, decimal; TOC is the total organic carbon content, decimal; f T is the total conversion rate of convertible organic matter under temperature T, a decimal.

[0168] When this step is implemented, the total amount of hydrocarbons generated per unit mass of rock can also be calculated based on the amount of each product generated per unit mass of rock and the proportion of each recoverable product to each generated product. The specific calculation formula is as follows:

[0169]

[0170] Among them, Q i is the amount of each product that can be produced per unit mass of rock, m 3 ; n is the number of products, i.e. 3.

[0171] Step 109, calculate the total hydrocarbon resource abundance that can be recovered per unit area based on the total hydrocarbon amount generated per unit mass of rock and the thickness of the target layer. The specific calculation formula is as follows:

[0172] N=Q×H(Formula 11)

[0173] Where: N is the total recoverable hydrocarbon abundance per unit area, m 3 / km 2 ; Q is the total amount of hydrocarbons that can be recovered per unit mass of rock, mg; H is the thickness of the target layer, m.

[0174] Step 110, using the lower limit value of the total hydrocarbon resource abundance, evaluate the recoverable total hydrocarbon resource abundance.

[0175] Among them, the lower limit of total hydrocarbon resource abundance is determined based on the development cost per unit area (comprehensive development cost, abandonment cost, sunk cost, etc.), total hydrocarbon price, and total hydrocarbon resource abundance.

[0176] Based on the same inventive concept, this article also provides a resource abundance evaluation device for each product of shale heating, as described in the following embodiments. Since the principle of solving the problem by the resource abundance evaluation device for each product of shale heating is similar to the resource abundance evaluation method for each product of shale heating, the implementation of the resource abundance evaluation device for each product of shale heating can refer to the resource abundance evaluation method for each product of shale heating, and the repeated parts will not be repeated.

[0177] Specifically, Fig. 9As shown, the resource abundance evaluation device for each product of shale heating includes:

[0178] The data acquisition unit 901 is used to perform a heating simulation experiment on a plurality of shale samples to obtain the amount of each product generated when a unit mass of convertible organic matter is heated to each preset temperature under each preset heating rate and each preset fluid pressure condition;

[0179] The pre-exponential factor analysis unit 902 is used to establish a pre-exponential factor calculation model for each product under different heating rates and different fluid pressures according to the amount of each product generated when the unit mass of convertible organic matter is heated to each preset temperature under each preset heating rate and each preset fluid pressure condition;

[0180] The reaction rate analysis unit 903 is used to establish a reaction rate calculation model for generating each product from unit mass of convertible organic matter at each temperature according to the pre-exponential factor calculation model of each product at different heating rates and different fluid pressures;

[0181] The conversion rate analysis unit 904 is used to determine the conversion rate calculation model of each product per unit mass of convertible organic matter at each temperature according to the reaction rate calculation model of generating each product per unit mass of convertible organic matter at each temperature;

[0182] The resource abundance calculation unit 905 is used to calculate the resource abundance of each product that can be extracted per unit area according to the total organic carbon content and the proportion of convertible organic matter per unit mass of rock, the conversion rate calculation model of each product, the proportion of each extractable product to each generated product, and the thickness of the target layer of rock;

[0183] The evaluation unit 906 is used to evaluate the resource abundance of each product that can be produced using the lower limit value of the resource abundance of each product.

[0184] This embodiment can realize the quantitative calculation of the resource abundance of each product when the temperature is raised to each temperature at different heating rates and different fluid pressures, and ensure the calculation accuracy of the resource abundance. At the same time, it can also solve the problem of classification and evaluation of different products (hydrocarbon resources) in in-situ conversion development, and provide a basis for predicting the oil and gas resource volume and development of different types of products.

[0185] In one embodiment of the present invention, a computer device is also provided, such as Fig.10As shown, the computer device 1002 may include one or more processors 1004, such as one or more central processing units (CPUs), each of which may implement one or more hardware threads. The computer device 1002 may also include any memory 1006, which is used to store any kind of information such as code, settings, data, etc. Non-limitingly, for example, the memory 1006 may include any one or more combinations of the following: any type of RAM, any type of ROM, flash memory device, hard disk, optical disk, etc. More generally, any memory may use any technology to store information. Further, any memory may provide volatile or non-volatile retention of information. Further, any memory may represent a fixed or removable component of the computer device 1002. In one case, when the processor 1004 executes an associated instruction stored in any memory or a combination of memories, the computer device 1002 may perform any operation of the associated instruction. The computer device 1002 also includes one or more drive mechanisms 1008 for interacting with any memory, such as a hard disk drive mechanism, an optical disk drive mechanism, etc.

[0186] The computer device 1002 may also include an input / output module 1010 (I / O) for receiving various inputs (via input devices 1012) and for providing various outputs (via output devices 1014). A specific output mechanism may include a presentation device 1016 and an associated graphical user interface (GUI) 1018. In other embodiments, the input / output module 1010 (I / O), the input device 1012, and the output device 1014 may not be included, and the computer device 1002 may be used as a computer device in a network. The computer device 1002 may also include one or more network interfaces 1020 for exchanging data with other devices via one or more communication links 1022. One or more communication buses 1024 couple the components described above together.

[0187] The communication link 1022 may be implemented in any manner, for example, through a local area network, a wide area network (e.g., the Internet), a point-to-point connection, etc., or any combination thereof. The communication link 1022 may include any combination of hardwired links, wireless links, routers, gateway functions, name servers, etc. governed by any protocol or combination of protocols.

[0188] The embodiments of the present invention further provide a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the above method are executed.

[0189] The embodiments of this document also provide a computer-readable instruction, wherein when a processor executes the instruction, the program therein causes the processor to execute the method described in any of the aforementioned embodiments.

[0190] It should be understood that in the various embodiments of this document, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this document.

[0191] It should also be understood that in the embodiments of this article, the term "and / or" is only a description of the association relationship of the associated objects, indicating that three relationships may exist. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship.

[0192] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in terms of function in the above description. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this article.

[0193] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0194] In the several embodiments provided herein, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of the units is only a logical function division, and there may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, or can be electrical, mechanical or other forms of connection.

[0195] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the embodiments of this article.

[0196] In addition, each functional unit in each embodiment of this invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above integrated unit may be implemented in the form of hardware or in the form of software functional unit.

[0197] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this article is essentially or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of this article. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.

[0198] Specific embodiments are used in this article to illustrate the principles and implementation methods of this article. The description of the above embodiments is only used to help understand the methods and core ideas of this article. At the same time, for general technicians in this field, according to the ideas of this article, there will be changes in the specific implementation methods and application scopes. In summary, the content of this specification should not be understood as a limitation on this article.

Claims

1. A method for evaluating the resource abundance of various products of shale heating, characterized in that: include: Conducting a heating simulation experiment on a plurality of shale samples to obtain the amount of each product generated when a unit mass of convertible organic matter is heated to each preset temperature under each preset heating rate and each preset fluid pressure condition; According to the amount of each product generated when the unit mass of convertible organic matter is heated to each preset temperature under each preset heating rate and each preset fluid pressure condition, a pre-exponential factor calculation model of each product under different heating rates and different fluid pressures is established; Based on the pre-exponential factor calculation model of each product at different heating rates and different fluid pressures, a reaction rate calculation model for generating each product from unit mass of convertible organic matter at each temperature is established; Determine a conversion rate calculation model for each product per unit mass of convertible organic matter at each temperature based on a reaction rate calculation model for generating each product per unit mass of convertible organic matter at each temperature; Calculate the resource abundance of each product that can be recovered per unit area based on the total organic carbon content and the proportion of convertible organic matter per unit mass of rock, the conversion rate calculation model of each product, the proportion of each recoverable product to each generated product, and the thickness of the target layer of rock; The resource abundance of each product that can be produced is evaluated using the lower limit of the resource abundance of each product.

2. The method according to claim 1, characterized in that The pre-exponential factor calculation model of each product at different heating rates and different fluid pressures is expressed by the following formula: A fi =a i ×exp(P / b i )-ln(r); Among them: A fi is the pre-exponential factor of product i; P is the fluid pressure; r is the heating rate; a i , b i It is obtained by fitting the pre-exponential factor calculated according to the product amount of product i under each preset heating rate and each preset fluid pressure condition.

3. The method according to claim 2, characterized in that The calculation model of the reaction rate of each product generated by unit mass of convertible organic matter at each temperature is expressed by the following formula: k i =A fi ×exp(–Ea i / RT); Where: k i is the reaction rate of product i; Ea i is the activation energy of product i; R is the molar gas constant; T is the reaction temperature.

4. The method according to claim 1, characterized in that The calculation model for the conversion rate of each product per unit mass of convertible organic matter at each temperature is expressed by the following formula: k i =A fi ×exp(–Ea i / RT); Where: f i is the conversion rate of unit mass of convertible organic product i at temperature T2; T1 is the starting temperature of the thermal simulation experiment; T2 is the current temperature of the thermal simulation experiment; T is the reaction temperature; k i is the reaction rate of product i; A fi is the pre-exponential factor of product i; Ea i is the activation energy of product i; R is the molar gas constant.

5. The method according to claim 1, characterized in that According to the total organic carbon content and the proportion of convertible organic matter per unit mass of rock, the conversion rate calculation model of each product, the proportion of each recoverable product to each generated product and the thickness of the target layer of rock, the resource abundance of each product that can be recovered per unit area is calculated, including: Calculate the amount of each product generated per unit mass of rock according to the total organic carbon content per unit mass of rock, the proportion of convertible organic matter, the conversion rate calculation model of each product, and the proportion of each recoverable product to each generated product; Based on the amount of each product generated per unit mass of rock and the thickness of the target layer of rock, the resource abundance of each product that can be produced per unit area is calculated.

6. The method according to claim 5, characterized in that According to the total organic carbon content of the unit mass of rock, the proportion of convertible organic matter, the conversion rate calculation model of each product and the proportion of each recoverable product to the generated products, the amount of each product generated by the unit mass of rock is calculated, including using the following formula to calculate the amount of each product generated by the unit mass of rock: Q i =R i ×OC ratio ×TOC×f i ; OC ratio =q / TO; Where: Q i is the amount of product i generated per unit mass of rock; R i is the ratio of the recoverable amount of product i to the generated amount; OC ratio is the proportion of convertible organic matter; TOC is the total organic carbon content per unit mass of rock; f i is the conversion rate of product i; q is the total hydrocarbon generation amount obtained at the end of thermal simulation of rock sample; TO is the total organic carbon content of rock sample.

7. The method according to claim 1, characterized in that According to the amount of each product generated per unit mass of rock and the thickness of the target layer of rock, the resource abundance of each product that can be produced per unit area is calculated, including the use of the following formula to calculate the resource abundance of each product: N i =Q i ×H; Where: N i is the resource abundance of each product that can be extracted per unit area; Q i is the amount of each product that can be produced per unit mass of rock; H is the thickness of the target layer of rock.

8. The method according to claim 1, characterized in that Also includes: According to the conversion rate calculation model of each product per unit mass of convertible organic matter at each temperature, the total conversion rate of organic matter at each temperature is calculated; The total amount of hydrocarbons generated per unit mass of rock is calculated based on the total organic carbon content per unit mass of rock, the proportion of convertible organic matter, the total conversion rate of organic matter, and the proportion of recoverable hydrocarbons to generated hydrocarbons; Or calculate the total hydrocarbons generated per unit mass of rock based on the amount of each product generated per unit mass of rock and the proportion of each recoverable product to each generated product; Calculate the total hydrocarbon resource abundance that can be recovered per unit area based on the total hydrocarbon generated per unit mass of rock and the thickness of the target layer; The lower limit of the total hydrocarbon resource abundance is used to evaluate the recoverable total hydrocarbon resource abundance.

9. The method according to claim 8, characterized in that For the resource abundance of each dimension, if the resource abundance of the dimension is greater than the lower limit value of the dimension, the area where the rock sample is located is determined to be a sweet spot, otherwise, it is a non-sweet spot; wherein the dimension includes each product and total hydrocarbons.

10. A device for evaluating the resource abundance of various products of shale heating, characterized in that: include: A data acquisition unit, used to perform a heating simulation experiment on a plurality of shale samples to obtain the amount of each product generated when a unit mass of convertible organic matter is heated to each preset temperature under each preset heating rate and each preset fluid pressure condition; A pre-exponential factor analysis unit is used to establish a pre-exponential factor calculation model for each product at different heating rates and different fluid pressures according to the amount of each product generated when the unit mass of convertible organic matter is heated to each preset temperature under each preset heating rate and each preset fluid pressure condition; A reaction rate analysis unit is used to establish a reaction rate calculation model for generating each product from unit mass of convertible organic matter at each temperature based on a pre-exponential factor calculation model of each product at different heating rates and different fluid pressures; A conversion rate analysis unit, for determining a conversion rate calculation model for each product per unit mass of convertible organic matter at each temperature based on a reaction rate calculation model for generating each product per unit mass of convertible organic matter at each temperature; A resource abundance calculation unit, used to calculate the resource abundance of each product that can be recovered per unit area according to the total organic carbon content and the proportion of convertible organic matter per unit mass of rock, the conversion rate calculation model of each product, the proportion of each recoverable product to each generated product and the thickness of the target layer of rock; The evaluation unit is used to evaluate the resource abundance of each product that can be produced by using the lower limit value of the resource abundance of each product.

11. A computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the method according to any one of claims 1 to 9 is implemented.

12. A computer storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor of a computer device, the method according to any one of claims 1 to 9 is implemented.

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