Method and device for predicting the yield of oil shale in-situ heating mining products

Abstract

The present invention provides a method and device for predicting the yield of oil shale in-situ heating production products, the method comprising: constructing a series of parallel primary reaction product yield models for in-situ heating pyrolysis of oil shale; obtaining the actual product yield of in-situ heating pyrolysis of oil shale based on a hydrocarbon generation thermal simulation experiment; constructing a preliminary hydrocarbon generation reaction path model according to the actual product yield, the preliminary hydrocarbon generation reaction path model including parameters to be calibrated; calibrating the parameters to be calibrated according to the series of parallel primary reaction product yield models and the actual product yield to obtain a target hydrocarbon generation reaction path model; predicting the yield of oil shale in-situ heating production products based on the target hydrocarbon generation reaction path model. The present invention can accurately describe the hydrocarbon generation reaction process of in-situ heating pyrolysis of oil shale, and improves the prediction accuracy of predicting the yield of oil shale in-situ heating production products, which has very important theoretical and practical significance for in-situ heating production of oil shale.

Description

Technical Field

[0001] The invention relates to the technical field of in-situ heating mining of oil shale, and in particular to a method and device for predicting the yield of in-situ heating mining products of oil shale. Background Art

[0002] my country's oil shale / medium-low maturity shale oil has huge resource potential, and in-situ conversion technology is increasingly valued by all as an effective way to achieve its industrial exploitation. At present, numerical simulation research on the in-situ mining process is an important research content at this stage. Among them, establishing an accurate chemical reaction model to describe the in-situ pyrolysis of oil shale for predicting the in-situ heating and mining products of oil shale is one of the key technologies in the research.

[0003] At present, the research on relevant hydrocarbon generation kinetic models is still in its infancy. Most hydrocarbon generation kinetic models draw on existing total package reaction models, parallel first-order reaction models, cascade first-order reaction models, etc. These models are all predictions of the total conversion rate and are not suitable for in-situ oil shale mining research. Therefore, it will result in poor accuracy in predicting the product yield, resulting in the prediction methods in the existing technology having no guiding significance for in-situ oil shale mining.

[0004] Therefore, there is an urgent need to provide a method and device for predicting the yield of oil shale in-situ heating production products, so as to more accurately predict the yield of oil shale in-situ heating production products. Summary of the invention

[0005] In view of this, it is necessary to provide a method and device for predicting the yield of oil shale in-situ heating mining products, so as to solve the technical problem that the prior art is not suitable for oil shale in-situ mining research, resulting in low prediction accuracy of the yield of oil shale in-situ heating mining products.

[0006] In one aspect, the present invention provides a method for predicting the yield of oil shale in-situ heating production products, comprising:

[0007] Construct a product yield model for a series of parallel primary reactions of in-situ heating pyrolysis of oil shale;

[0008] The actual product yield of in-situ heating pyrolysis of oil shale was obtained based on the hydrocarbon generation thermal simulation experiment;

[0009] Constructing a preliminary hydrocarbon generation reaction pathway model according to the actual product yield, wherein the preliminary hydrocarbon generation reaction pathway model includes parameters to be calibrated;

[0010] Calibrate the parameters to be calibrated according to the series of parallel primary reaction product yield model and the actual product yield to obtain a target hydrocarbon generation reaction pathway model;

[0011] The yield of oil shale in-situ heating production products is predicted based on the target hydrocarbon generation reaction pathway model.

[0012] In some possible implementations, the construction of a series of parallel primary reaction product yield models for in-situ heating and pyrolysis of oil shale includes:

[0013] Obtain the basic model of hydrocarbon generation reaction of in-situ heating and pyrolysis of oil shale;

[0014] Determining a generation model of each product based on the basic model of hydrocarbon generation reaction;

[0015] Determining a cracking amount model of each product based on the basic model of hydrocarbon generation reaction;

[0016] The serial parallel primary reaction product yield model is constructed according to the production amount model and the cracking amount model.

[0017] In some possible implementations, the serial parallel primary reaction product yield model is:

[0018]

[0019] Where, X j is the jth reactant; X i is the i-th product; a i,j is the stoichiometric coefficient; A i is the pre-exponential factor of the generated quantity model; E i is the activation energy of the generated quantity model; A j is the pre-exponential factor of the cleavage model; E j is the activation energy of the cracking model; m is the total number of products; R is the gas constant; T is the temperature; t is the time.

[0020] In some possible implementations, the hydrocarbon generation thermal simulation experiment is a gold tube closed system thermal simulation experiment.

[0021] In some possible implementations, constructing a preliminary hydrocarbon generation reaction pathway model according to the actual product and the actual yield includes:

[0022] constructing a product yield evolution curve according to the actual product and the actual yield;

[0023] Obtaining product evolution characteristics based on the product yield evolution curve, and dividing the hydrocarbon generation process of oil shale in-situ heating pyrolysis into multiple stages according to the product evolution characteristics;

[0024] The stage hydrocarbon generation reaction pathway models of the multiple stages are constructed respectively, and the preliminary hydrocarbon generation reaction pathway model is constructed according to the stage hydrocarbon generation reaction pathway models.

[0025] In some possible implementations, the stage hydrocarbon generation reaction pathway model includes a heavy oil generation stage reaction pathway model, a heavy oil cracking stage reaction pathway model, a light oil and asphalt cracking gas production stage reaction pathway model, and a wet gas cracking stage reaction pathway model.

[0026] In some possible implementations, calibrating the parameters to be calibrated according to the serial parallel primary reaction product yield model and the actual product yield to obtain a target hydrocarbon generation reaction pathway model includes:

[0027] Establishing an error model based on the serial parallel primary reaction product yield model and the actual product yield;

[0028] determining constraints of the error model;

[0029] The parameters to be calibrated are calibrated according to the error model and the constraint conditions to obtain the target hydrocarbon generation reaction pathway model.

[0030] On the other hand, the present invention also provides a device for predicting the yield of oil shale in-situ heating mining products, comprising:

[0031] A product yield model building unit, used to build a serial parallel primary reaction product yield model for in-situ heating pyrolysis of oil shale;

[0032] A simulation experiment unit, used to obtain the actual product yield of in-situ heating pyrolysis of oil shale based on a hydrocarbon generation thermal simulation experiment;

[0033] A reaction path model building unit, used to build a preliminary hydrocarbon generation reaction path model according to the actual product yield, wherein the preliminary hydrocarbon generation reaction path model includes parameters to be calibrated;

[0034] A parameter calibration unit, used for calibrating the parameters to be calibrated according to the series of parallel primary reaction product yield model and the actual product yield, so as to obtain a target hydrocarbon generation reaction path model;

[0035] A product yield prediction unit is used to predict the product yield of oil shale in-situ heating production based on the target hydrocarbon generation reaction path model.

[0036] On the other hand, the present invention also provides an electronic device, including a memory and a processor, wherein:

[0037] The memory is used to store programs;

[0038] The processor is coupled to the memory and is used to execute the program stored in the memory to implement the steps in the method for predicting the yield of oil shale in-situ heating production products described in any one of the above implementations.

[0039] On the other hand, the present invention also provides a computer-readable storage medium for storing computer-readable programs or instructions, which, when executed by a processor, can implement the steps in the method for predicting the yield of oil shale in-situ heating production products described in any of the above-mentioned implementation methods.

[0040] The beneficial effects of adopting the above-mentioned embodiment are as follows: the method for predicting the yield of oil shale in-situ heating production products provided by the present invention can accurately describe the in-situ heating pyrolysis hydrocarbon generation reaction process of oil shale by obtaining the target hydrocarbon generation reaction pathway model, and predict the yield of oil shale in-situ heating production products based on the target hydrocarbon generation reaction pathway model, thereby improving the prediction accuracy of the prediction of the yield of oil shale in-situ heating production products, which has very important theoretical and practical significance for in-situ heating production of oil shale. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative work.

[0042] Figure 1 A schematic flow chart of an embodiment of a method for predicting the yield of oil shale in-situ heating mining products provided by the present invention;

[0043] Figure 2 For the present invention Figure 1 A schematic flow chart of an embodiment of S101;

[0044] Figure 3 For the present invention Figure 1 A schematic diagram of an embodiment of determining a correlation coefficient in S103;

[0045] Figure 4 A schematic diagram of an embodiment of the product yield evolution curve provided by the present invention;

[0046] Figure 5 For the present invention Figure 1 A schematic diagram of an embodiment of determining the association strength in S104;

[0047] Figure 6 A schematic structural diagram of an embodiment of the device for predicting the yield of oil shale in-situ heating mining products provided by the present invention;

[0048] Figure 7 A schematic structural diagram of an embodiment of an electronic device provided by the present invention. DETAILED DESCRIPTION

[0049] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0050] It should be understood that the schematic drawings are not drawn to scale. The flow chart used in the present invention shows the operations implemented according to some embodiments of the present invention. It should be understood that the operations of the flow chart can be implemented out of order, and the steps without logical context can be reversed or implemented simultaneously. In addition, those skilled in the art can add one or more other operations to the flow chart under the guidance of the content of the present invention, and can also remove one or more operations from the flow chart.

[0051] In the description of the embodiments of the present invention, "and / or" describes the association relationship of associated objects, indicating that three relationships may exist. For example, A and / or B may represent three situations: A exists alone, A and B exist at the same time, and B exists alone.

[0052] Some of the block diagrams shown in the accompanying drawings are functional entities that do not necessarily correspond to physically or logically independent entities. These functional entities can be implemented in software form, or in one or more hardware modules or integrated circuits, or in different networks and / or processor systems and / or microcontroller systems.

[0053] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0054] The embodiments of the present invention provide a method and device for predicting the yield of oil shale in-situ heating mining products, which are described below.

[0055] Figure 1 A schematic flow chart of an embodiment of the method for predicting the yield of oil shale in-situ heating mining products provided by the present invention is as follows: Figure 1 As shown, the method for predicting the yield of oil shale in-situ heating production products includes:

[0056] S101, constructing a series of parallel primary reaction product yield models for in-situ heating and pyrolysis of oil shale;

[0057] S102. Obtaining the actual product yield of in-situ heating pyrolysis of oil shale based on a hydrocarbon generation thermal simulation experiment;

[0058] S103, constructing a preliminary hydrocarbon generation reaction pathway model according to the actual product yield, wherein the preliminary hydrocarbon generation reaction pathway model includes parameters to be calibrated;

[0059] S104, calibrating the parameters to be calibrated according to the series parallel primary reaction product yield model and the actual product yield to obtain a target hydrocarbon generation reaction pathway model;

[0060] S105. Predict the yield of oil shale in-situ heating production products based on the target hydrocarbon generation reaction pathway model.

[0061] Compared with the prior art, the method for predicting the yield of oil shale in-situ heating production products provided in the embodiment of the present invention can accurately describe the in-situ heating pyrolysis hydrocarbon generation reaction process of oil shale by obtaining the target hydrocarbon generation reaction pathway model, and predict the yield of oil shale in-situ heating production products based on the target hydrocarbon generation reaction pathway model, thereby improving the prediction accuracy of the prediction of the yield of oil shale in-situ heating production products, which has very important theoretical and practical significance for oil shale in-situ heating production.

[0062] In some embodiments of the present invention, Figure 2 As shown, step S101 includes:

[0063] S201, obtaining a basic model of hydrocarbon generation reaction of in-situ heating and pyrolysis of oil shale;

[0064] S202, determining a generation amount model of each product based on a basic model of hydrocarbon generation reaction;

[0065] S203, determining a cracking amount model of each product based on a basic model of hydrocarbon generation reaction;

[0066] S204, constructing a series of parallel primary reaction product yield models based on the generation amount model and the cracking amount model.

[0067] In a specific embodiment of the present invention, the basic model of hydrocarbon generation reaction in step S201 is:

[0068]

[0069] ...

[0071] ...

[0073]

[0074] In the formula, the reactants are on the left side of the arrow and the products are on the right side of the arrow; k i is the ith cleavage reaction; a i,j is the stoichiometric coefficient; m is the total number of products.

[0075] According to the hydrocarbon generation kinetics theory, the yield X of the jth (i≠j) product in the i-th reaction equation in the basic model of hydrocarbon generation is i,j It can be expressed as:

[0076]

[0077] In the formula, A i is the pre-exponential factor of the generated quantity model; E i is the activation energy of the generation model; R is the gas constant; T is the temperature; t is the time.

[0078] In a specific embodiment of the present invention, the generation volume model in step S202 is:

[0079]

[0080] Where, X j is the jth reactant; X i is the ith product.

[0081] In a specific embodiment of the present invention, the cleavage amount model in step S203 is:

[0082]

[0083] In the formula, A j is the pre-exponential factor of the cleavage model; E j is the activation energy of the fragmentation model.

[0084] Therefore, the product yield model of the series of parallel primary reactions in step S204 is:

[0085]

[0086] In order to improve the accuracy of the hydrocarbon generation thermal simulation experiment, in a specific embodiment of the present invention, the hydrocarbon generation thermal simulation experiment is a gold tube closed system thermal simulation experiment.

[0087] Since the gold tube closed system thermal simulation experiment can completely collect and accurately characterize and quantify the products after the experiment, the embodiment of the present invention can improve the accuracy of the established target hydrocarbon generation reaction path model by setting the hydrocarbon generation thermal simulation experiment as a gold tube closed system thermal simulation experiment, thereby improving the accuracy of the prediction of the output of oil shale in-situ heating production products.

[0088] In a specific embodiment of the present invention, the oil shale sample used for thermal simulation in the thermal simulation experiment of the gold tube closed system is an immature core sample. The heating procedure of the thermal simulation experiment: heat up from room temperature to 200°C in 10 hours, and then heat up to 600°C at a heating rate of 20°C / h and 2°C / h respectively. The thermal simulation temperature point is set according to the actual situation. The collection and qualitative and quantitative analysis of the products refer to the "Golden Tube Hydrocarbon Generation Thermal Simulation Experiment Method" SY / T7035-2016, the petroleum and natural gas industry standard of the People's Republic of China, and will not be described in detail here.

[0089] In some embodiments of the present invention, Figure 3 As shown, step S103 includes:

[0090] S301, constructing a product yield evolution curve according to actual products and actual yields;

[0091] S302, obtaining product evolution characteristics based on the product yield evolution curve, and dividing the hydrocarbon generation process of the oil shale in-situ heating pyrolysis into multiple stages according to the product evolution characteristics;

[0092] S303, constructing stage hydrocarbon generation reaction pathway models for multiple stages respectively, and constructing a preliminary hydrocarbon generation reaction pathway model based on the stage hydrocarbon generation reaction pathway models.

[0093] The embodiment of the present invention can intuitively obtain product evolution characteristics by establishing a product yield evolution curve, thereby improving the efficiency of constructing a preliminary hydrocarbon generation reaction pathway model.

[0094] In a specific embodiment of the present invention, the product yield evolution curve is as follows Figure 4 As shown by Figure 4 It can be seen that the hydrocarbon generation process includes the heavy oil generation stage, the heavy oil cracking stage, the light oil and asphalt cracking gas production stage and the wet gas cracking stage; the stage hydrocarbon generation reaction path model includes the heavy oil generation stage reaction path model, the heavy oil cracking stage reaction path model, the light oil and asphalt cracking gas production stage reaction path model and the wet gas cracking stage reaction path model.

[0095] Specifically, by Figure 4 It can be seen that: ① Heavy oil generation stage: a certain amount of heavy oil is generated at a relatively low temperature stage, and heavy oil is generated rapidly after reaching a certain temperature, showing obvious two-stage generation characteristics, which can be explained as the functional groups on the original kerogen that are easy to break preferentially break at a relatively low temperature stage to generate heavy oil and residual kerogen. As the temperature continues to increase, the residual kerogen pyrolysis oil generation peak stage is reached. The reaction in this stage can be represented by two series of parallel first-order reaction models:

[0096] Kerogen → Residual kerogen 1 + heavy oil + light oil + moisture + methane

[0097] Residual kerogen 1→heavy oil+light oil+moisture gas+methane+residual carbon 1.

[0098] ②Heavy oil cracking stage: heavy oil yield decreases rapidly, light oil yield increases rapidly, moisture and methane increase to a certain extent, total hydrocarbon yield decreases rapidly, and the total hydrocarbon reduction accounts for 40%-50% of the maximum total hydrocarbon. This shows that the cracking of heavy oil will generate light oil, a small amount of moisture and methane, and a large amount of solid residue. The reaction in this stage can be expressed as:

[0099] Heavy oil → light oil + wet gas + methane + coke.

[0100] ③ Light oil and asphalt cracking gas production stage: a small amount of heavy oil continues to crack, light oil cracks quickly, a large amount of wet gas is generated, methane gradually enters the main generation period, and the total hydrocarbon production increases, and the increase accounts for 3%-4% of the total residual kerogen. This shows that part of the product of this stage comes from the cracking of residual kerogen. The reaction of this stage can be expressed as:

[0101] Light oil → wet gas + methane + coke.

[0102] ④ Wet gas cracking stage: The heavy oil content is extremely low, a small amount of light oil continues to crack, wet gas cracks quickly, the wet cracking amount is slightly greater than the increase in methane, and the total hydrocarbon products slowly decrease, indicating that methane mainly comes from wet cracking, a small amount comes from light oil, heavy oil and residual kerogen, and wet cracking mainly produces methane (about 60%-80%), and a small amount of coke. The reaction in this stage can be expressed as:

[0103] Moisture → methane + coke.

[0104] In a specific embodiment of the present invention, the preliminary hydrocarbon generation reaction pathway model in step S303 is:

[0105] Kerogen → Residual kerogen 1 + heavy oil + light oil + moisture + methane

[0106] Residual kerogen 1 → heavy oil + light oil + wet gas + methane + residual carbon 1

[0107] Heavy oil → light oil + wet gas + methane + coke

[0108] Light oil → wet gas + methane + coke

[0109] Wet gas → methane + coke

[0110] Carbon residue 1 → light oil + wet gas + methane + carbon residue 2

[0111] Carbon residue 2 → light oil + wet gas + methane + carbon residue 3

[0112] Residual carbon 3→light oil+moisture+methane+coke.

[0113] Since the preliminary hydrocarbon generation reaction pathway model only contains product types but no yield, in order to obtain the yield, in some embodiments of the present invention, Figure 5 As shown, step S104 includes:

[0114] S501, establishing an error model based on the serial parallel primary reaction product yield model and the actual product yield;

[0115] S502, determining the constraint conditions of the error model;

[0116] S503, calibrating the parameters to be calibrated according to the error model and constraint conditions to obtain a target hydrocarbon generation reaction pathway model.

[0117] The embodiment of the present invention calibrates the parameters to be calibrated to obtain a target hydrocarbon generation reaction path model, and can predict the yield of in-situ heating production products of oil shale, thereby providing guidance for in-situ pyrolysis production of oil shale.

[0118] In a specific embodiment of the present invention, the error model in step S501 is:

[0119] F(E i ,A i ,a i,j )=∑(X exp -X cal ) 2

[0120] Where, X exp is the theoretical product yield obtained based on the product yield model of serial parallel first-order reactions; X cal is the actual product yield obtained through the hydrocarbon generation thermal simulation experiment.

[0121] It should be understood that when the difference between the theoretical product yield and the actual product yield is less than the threshold difference, the calibration of the parameters to be calibrated is completed.

[0122] The threshold difference can be adjusted according to actual conditions, which will not be elaborated here.

[0123] In a specific embodiment of the present invention, the constraints in step S502 include but are not limited to:

[0124] 1. Reactant X i The cleavage reaction cannot generate X i itself and its precursors, that is, the corresponding coefficient is 0;

[0125] 2. Conservation of mass: or ε is a small positive number.

[0126] 3. Pre-exponential factor A of the generation model i ≥0;

[0127] 4. Activation energy E of the generation model i ≥0;

[0128] 5, 0≤a i,j ≤1.

[0129] The above constraints can be used to calibrate the parameters to be calibrated.

[0130] In order to better implement the oil shale in-situ heating mining product yield prediction method in the embodiment of the present invention, based on the oil shale in-situ heating mining product yield prediction method, the embodiment of the present invention also provides an oil shale in-situ heating mining product yield prediction device, the multiple data sources include a first data source and at least one second data source, such as Figure 6 As shown, the oil shale in-situ heating production product yield prediction device 600 includes:

[0131] A product yield model building unit 601 is used to build a product yield model of a series of parallel primary reactions of in-situ heating and pyrolysis of oil shale;

[0132] The simulation experiment unit 602 is used to obtain the actual product yield of the in-situ heating pyrolysis of oil shale based on the hydrocarbon generation thermal simulation experiment;

[0133] A reaction path model building unit 603 is used to build a preliminary hydrocarbon generation reaction path model according to the actual product yield, wherein the preliminary hydrocarbon generation reaction path model includes parameters to be calibrated;

[0134] A parameter calibration unit 604 is used to calibrate the parameters to be calibrated according to the series of parallel primary reaction product yield models and the actual product yields to obtain a target hydrocarbon generation reaction pathway model;

[0135] The product yield prediction unit 605 is used to predict the product yield of oil shale in-situ heating production based on the target hydrocarbon generation reaction pathway model.

[0136] The oil shale in-situ heating production product yield prediction device 600 provided in the above embodiment can implement the technical solution described in the above embodiment of the oil shale in-situ heating production product yield prediction method. The specific implementation principles of the above modules or units can refer to the corresponding contents in the above embodiment of the oil shale in-situ heating production product yield prediction method, which will not be repeated here.

[0137] like Figure 7 As shown, the present invention also provides an electronic device 700. The electronic device 700 includes a processor 701, a memory 702 and a display 703. Figure 7 Only some components of the electronic device 700 are shown, but it should be understood that it is not required to implement all of the components shown, and more or fewer components may be implemented instead.

[0138] In some embodiments, the processor 701 can be a central processing unit (CPU), a microprocessor or other data processing chip, which is used to run the program code or process data stored in the memory 702, such as the oil shale in-situ heating production product yield prediction method of the present invention.

[0139] In some embodiments, the processor 701 may be a single server or a server group. The server group may be centralized or distributed. In some embodiments, the processor 701 may be local or remote. In some embodiments, the processor 701 may be implemented in a cloud platform. In one embodiment, the cloud platform may include a private cloud, a public cloud, a hybrid cloud, a community cloud, a distributed cloud, an internal cloud, a multi-cloud, etc., or any combination thereof.

[0140] In some embodiments, the memory 702 may be an internal storage unit of the electronic device 700, such as a hard disk or memory of the electronic device 700. In other embodiments, the memory 702 may also be an external storage device of the electronic device 700, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc. equipped on the electronic device 700.

[0141] Furthermore, the memory 702 may include both an internal storage unit of the electronic device 700 and an external storage device. The memory 702 is used to store application software installed in the electronic device 700 and various data.

[0142] In some embodiments, the display 703 may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch device, etc. The display 703 is used to display information on the electronic device 700 and to display a visual user interface. The components 701-703 of the electronic device 700 communicate with each other via a system bus.

[0143] In some embodiments of the present invention, when the processor 701 executes the oil shale in-situ heating production product yield prediction program in the memory 702, the following steps may be implemented:

[0144] Construct a product yield model for a series of parallel primary reactions of in-situ heating pyrolysis of oil shale;

[0145] The actual product yield of in-situ heating pyrolysis of oil shale was obtained based on the hydrocarbon generation thermal simulation experiment;

[0146] Constructing a preliminary hydrocarbon generation reaction pathway model according to the actual product yield, wherein the preliminary hydrocarbon generation reaction pathway model includes parameters to be calibrated;

[0147] The parameters to be calibrated are calibrated according to the product yield model of the serial parallel primary reactions and the actual product yield to obtain the target hydrocarbon generation reaction path model;

[0148] The product yield of in-situ heating production of oil shale is predicted based on the target hydrocarbon generation reaction pathway model.

[0149] It should be understood that: when the processor 701 executes the oil shale in-situ heating production product yield prediction program in the memory 702, in addition to the above functions, other functions can also be realized. For details, please refer to the description of the corresponding method embodiment above.

[0150] Furthermore, the embodiment of the present invention does not specifically limit the type of the electronic device 700 mentioned, and the electronic device 700 may be a portable electronic device such as a mobile phone, a tablet computer, a personal digital assistant (PDA), a wearable device, a laptop computer, etc. Exemplary embodiments of portable electronic devices include but are not limited to portable electronic devices equipped with IOS, Android, Microsoft or other operating systems. The above-mentioned portable electronic device may also be other portable electronic devices, such as a laptop computer with a touch-sensitive surface (e.g., a touch panel). It should also be understood that in some other embodiments of the present invention, the electronic device 700 may not be a portable electronic device, but a desktop computer with a touch-sensitive surface (e.g., a touch panel).

[0151] Accordingly, an embodiment of the present application also provides a computer-readable storage medium, which is used to store computer-readable programs or instructions. When the program or instructions are executed by a processor, it can implement the steps or functions of the oil shale in-situ heating production product yield prediction method provided in the above-mentioned method embodiments.

[0152] Those skilled in the art will appreciate that all or part of the processes of the above-mentioned embodiments can be implemented by instructing related hardware (such as a processor, a controller, etc.) through a computer program, and the computer program can be stored in a computer-readable storage medium, wherein the computer-readable storage medium is a disk, an optical disk, a read-only storage memory, or a random access memory, etc.

[0153] The above is a detailed introduction to the method and device for predicting the yield of oil shale in-situ heating mining products provided by the present invention. Specific examples are used in this article to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea; at the same time, for technical personnel in this field, according to the idea of ​​the present invention, there will be changes in the specific implementation method and application scope. In summary, the content of this specification should not be understood as a limitation on the present invention.

Claims

1. A method for predicting the yield of oil shale in-situ heating mining products, characterized in that: include: Construct a product yield model for a series of parallel primary reactions of in-situ heating pyrolysis of oil shale; The actual product yield of in-situ heating pyrolysis of oil shale was obtained based on the hydrocarbon generation thermal simulation experiment; Constructing a preliminary hydrocarbon generation reaction pathway model according to the actual product yield, wherein the preliminary hydrocarbon generation reaction pathway model includes parameters to be calibrated; Calibrate the parameters to be calibrated according to the series of parallel primary reaction product yield model and the actual product yield to obtain a target hydrocarbon generation reaction pathway model; Predicting the yield of oil shale in-situ heating production products based on the target hydrocarbon generation reaction pathway model; The method of constructing a series of parallel primary reaction product yield models for in-situ heating and pyrolysis of oil shale includes: Obtain the basic model of hydrocarbon generation reaction of in-situ heating and pyrolysis of oil shale; Determining a generation model of each product based on the basic model of hydrocarbon generation reaction; Determining a cracking amount model of each product based on the basic model of hydrocarbon generation reaction; Constructing the series of parallel primary reaction product yield model according to the production amount model and the cracking amount model; The product yield model of the serial parallel primary reactions is: In the formula, is the jth reactant; is the i-th product; is the stoichiometric coefficient; is the pre-exponential factor of the generated quantity model; is the activation energy of the generated quantity model; is the pre-exponential factor of the cracking amount model; is the activation energy of the cracking amount model; m is the total number of products; R is the gas constant; T is the temperature; t is the time; The constructing a preliminary hydrocarbon generation reaction pathway model according to the actual product and the actual yield comprises: constructing a product yield evolution curve according to the actual product and the actual yield; Obtaining product evolution characteristics based on the product yield evolution curve, and dividing the hydrocarbon generation process of oil shale in-situ heating pyrolysis into multiple stages according to the product evolution characteristics; The stage hydrocarbon generation reaction pathway models of the multiple stages are constructed respectively, and the preliminary hydrocarbon generation reaction pathway model is constructed according to the stage hydrocarbon generation reaction pathway models.

2. The method for predicting the yield of oil shale in-situ heating mining products according to claim 1, characterized in that: The hydrocarbon generation thermal simulation experiment is a gold tube closed system thermal simulation experiment.

3. The method for predicting the yield of oil shale in-situ heating mining products according to claim 1, characterized in that: The stage hydrocarbon generation reaction path model includes a heavy oil generation stage reaction path model, a heavy oil cracking stage reaction path model, a light oil and asphalt cracking gas production stage reaction path model and a wet gas cracking stage reaction path model.

4. The method for predicting the yield of oil shale in-situ heating mining products according to claim 1, characterized in that: The step of calibrating the parameters to be calibrated according to the series of parallel primary reaction product yield model and the actual product yield to obtain a target hydrocarbon generation reaction pathway model comprises: Establishing an error model based on the serial parallel primary reaction product yield model and the actual product yield; determining constraints of the error model; The parameters to be calibrated are calibrated according to the error model and the constraint conditions to obtain the target hydrocarbon generation reaction pathway model.

5. A device for predicting the yield of oil shale in-situ heating mining products, characterized in that: include: A product yield model building unit, used to build a serial parallel primary reaction product yield model for in-situ heating pyrolysis of oil shale; A simulation experiment unit, used to obtain the actual product yield of in-situ heating pyrolysis of oil shale based on a hydrocarbon generation thermal simulation experiment; A reaction path model building unit, used to build a preliminary hydrocarbon generation reaction path model according to the actual product yield, wherein the preliminary hydrocarbon generation reaction path model includes parameters to be calibrated; A parameter calibration unit, used for calibrating the parameters to be calibrated according to the series of parallel primary reaction product yield model and the actual product yield, so as to obtain a target hydrocarbon generation reaction path model; A product yield prediction unit, used for predicting the product yield of oil shale in-situ heating production based on the target hydrocarbon generation reaction pathway model; The method of constructing a series of parallel primary reaction product yield models for in-situ heating and pyrolysis of oil shale includes: Obtain the basic model of hydrocarbon generation reaction of in-situ heating and pyrolysis of oil shale; Determining a generation model of each product based on the basic model of hydrocarbon generation reaction; Determining a cracking amount model of each product based on the basic model of hydrocarbon generation reaction; Constructing the series of parallel primary reaction product yield model according to the production amount model and the cracking amount model; The product yield model of the serial parallel primary reactions is: In the formula, is the jth reactant; is the i-th product; is the stoichiometric coefficient; is the pre-exponential factor of the generated quantity model; is the activation energy of the generated quantity model; is the pre-exponential factor of the cracking amount model; is the activation energy of the cracking amount model; m is the total number of products; R is the gas constant; T is the temperature; t is the time; The constructing a preliminary hydrocarbon generation reaction pathway model according to the actual product and the actual yield comprises: constructing a product yield evolution curve according to the actual product and the actual yield; Obtaining product evolution characteristics based on the product yield evolution curve, and dividing the hydrocarbon generation process of oil shale in-situ heating pyrolysis into multiple stages according to the product evolution characteristics; The stage hydrocarbon generation reaction pathway models of the multiple stages are constructed respectively, and the preliminary hydrocarbon generation reaction pathway model is constructed according to the stage hydrocarbon generation reaction pathway models.

6. An electronic device, characterized in that: comprising a memory and a processor, wherein: The memory is used to store programs; The processor is coupled to the memory and is used to execute the program stored in the memory to implement the steps in the method for predicting the yield of oil shale in-situ heating production products as described in any one of claims 1 to 4 above.

7. A computer-readable storage medium, characterized in that: Used to store computer-readable programs or instructions, which, when executed by a processor, can implement the steps in the method for predicting the yield of oil shale in-situ heating production products as described in any one of claims 1 to 4 above.

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