Gas content prediction method, device, equipment and storage medium
Patent Information
- Application Number
- CN202110534544.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2021-05-17
- Publication Date
- 2026-10-30
- Estimated Expiration
- 2041-05-17
AI Technical Summary
[0004]但是，由于需要提取岩芯，再对岩芯进行测试，预测煤层气含气量的复杂度高
[0047]本申请实施例提供的方法、装置、设备及存储介质，基于目标相关关系以及目标井的相邻井的兰氏体积、兰氏压力，确定目标井的煤层气的含气量，无需通过对岩芯的实验测量才能预测煤储层的含气量，不仅降低了开发阶段预测煤层气含气量的复杂度和频次，同时节约了开发成本。并且根据目标井的临界解吸压力以及相邻井的测井参数，即可确定目标井的含气量，提高了预测含气量的准确率。
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Figure CN115374975B_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of coalbed methane extraction technology, and in particular to a method, apparatus, equipment and storage medium for predicting gas content. Background Technology
[0002] Coalbed methane, as a self-generated and self-storing clean energy source, needs to be continuously extracted from coal reservoirs for human use. The amount of gas in the coal reservoir directly determines the output of the gas well, and predicting the gas content of coalbed methane before extraction is of great significance.
[0003] When predicting the gas content of coalbed methane in a coal reservoir, a core sample is obtained by drilling in the coal reservoir. The natural desorption and residual gas content of the core sample are then measured, and the gas loss is obtained. The sum of the natural desorption, residual gas content, and gas loss is determined as the gas content of the coal reservoir.
[0004] However, predicting coalbed methane content is highly complex because it requires extracting rock cores and then testing them. Summary of the Invention
[0005] This application provides a method, apparatus, device, and storage medium for predicting coalbed methane content. During the development phase, it eliminates the need for experimental measurements of rock cores to predict coalbed methane content, reducing the complexity and frequency of prediction and saving development costs. Furthermore, the gas content of the target well can be determined based on its critical desorption pressure and logging parameters from adjacent wells, improving the accuracy of gas content prediction. The technical solution provided by this application is as follows:
[0006] On one hand, embodiments of this application provide a method for predicting gas content, the method comprising:
[0007] Obtain the target correlation, which is used to indicate the correlation between the critical desorption pressure and the measured desorption pressure. The critical desorption pressure is the predicted desorption pressure when desorbing coalbed methane in a coal reservoir, and the measured desorption pressure is the desorption pressure detected at the wellhead when desorbing coalbed methane in the coal reservoir.
[0008] Based on the measured desorption pressure of the first target well and the target correlation, the critical desorption pressure of the first target well is determined;
[0009] Based on the Langmuir volume, Langmuir pressure, and critical desorption pressure of the adjacent wells of the first target well, the coalbed methane content of the first target well is determined.
[0010] In one possible implementation, prior to obtaining the target relevance, the method further includes:
[0011] Obtain the gas content, Langmuir volume, and Langmuir pressure of at least one second target well;
[0012] Based on the gas content, the Langmuir volume, and the Langmuir pressure of each second target well, the critical desorption pressure of each second target well is determined;
[0013] The target correlation is determined based on the critical desorption pressure and measured desorption pressure of each second target well.
[0014] In another possible implementation, the target relevance is expressed by the following formula:
[0015]
[0016] Among them, P 临 P is the critical desorption pressure. 读 The measured desorption pressure is given, and a and b are constants.
[0017] In another possible implementation, determining the critical desorption pressure of each second target well based on the gas content, the Langmuir volume, and the Langmuir pressure of each second target well includes:
[0018] Based on the gas content, the Langmuir volume, the Langmuir pressure, and the isothermal adsorption equation for each second target well, the critical desorption pressure for each second target well is determined.
[0019] In another possible implementation, the isothermal adsorption equation is expressed by the following formula:
[0020]
[0021] Among them, P 临 V is the critical desorption pressure. 实 V represents the gas content. L Let P be the Langfel volume. L The term refers to the Langmuir pressure.
[0022] In another possible implementation, the coalbed methane content of the first target well is determined using the following formula, based on the Langmuir volume, Langmuir pressure, and critical desorption pressure of adjacent wells of the first target well:
[0023]
[0024] Among them, P 临 V is the critical desorption pressure. 实 V represents the gas content. L Let P be the Langfel volume. L The term refers to the Langmuir pressure.
[0025] On the other hand, embodiments of this application provide a gas content prediction device, the device comprising:
[0026] The relationship acquisition module is used to acquire target correlation relationships, which are used to indicate the correlation between critical desorption pressure and measured desorption pressure. The critical desorption pressure is the predicted desorption pressure when desorbing coalbed methane in a coal reservoir, and the measured desorption pressure is the desorption pressure detected at the wellhead when desorbing coalbed methane in the coal reservoir.
[0027] The pressure determination module is used to determine the critical desorption pressure of the first target well based on the measured desorption pressure of the first target well and the target correlation.
[0028] The gas content determination module is used to determine the coalbed methane content of the first target well based on the Langmuir volume, Langmuir pressure and critical desorption pressure of the adjacent wells of the first target well.
[0029] In one possible implementation, the device further includes:
[0030] The parameter acquisition module is used to acquire the gas content, Langmuir volume, and Langmuir pressure of at least one second target well.
[0031] The pressure determination module is further configured to determine the critical desorption pressure of each second target well based on the gas content, the Langmuir volume, and the Langmuir pressure of each second target well.
[0032] The relationship determination module is used to determine the target correlation based on the critical desorption pressure and measured desorption pressure of each second target well.
[0033] In another possible implementation, the target relevance is expressed by the following formula:
[0034]
[0035] Among them, P 临 P is the critical desorption pressure. 读 The measured desorption pressure is given, and a and b are constants.
[0036] In another possible implementation, the pressure determination module is used to determine the critical desorption pressure of each second target well based on the gas content, the Langmuir volume, the Langmuir pressure, and the isothermal adsorption equation for each second target well.
[0037] In another possible implementation, the isothermal adsorption equation is expressed by the following formula:
[0038]
[0039] Among them, P 临 V is the critical desorption pressure. 实 V represents the gas content. L Let P be the Langfel volume. L The term refers to the Langmuir pressure.
[0040] In another possible implementation, the coalbed methane content of the first target well is determined using the following formula, based on the Langmuir volume, Langmuir pressure, and critical desorption pressure of adjacent wells of the first target well:
[0041]
[0042] Among them, P 临 V is the critical desorption pressure. 实 V represents the gas content. L Let P be the Langfel volume. L The term refers to the Langmuir pressure.
[0043] On the other hand, a terminal is provided, the terminal including a processor and a memory, the memory storing at least one piece of program code, the at least one piece of program code being loaded and executed by the processor to perform the operations as performed in the gas content prediction method.
[0044] On the other hand, a computer-readable storage medium is provided that stores at least one piece of program code, which is loaded and executed by a processor to perform the operations as described in the gas content prediction method.
[0045] In another aspect, a computer program product or computer program is provided, which includes computer program code stored in a computer-readable storage medium, wherein a processor of a terminal reads the computer program code from the computer-readable storage medium and executes the computer program code, causing the terminal to perform the operations performed in the gas content prediction method described above.
[0046] The beneficial effects of the technical solutions provided in this application include at least the following:
[0047] The methods, apparatus, equipment, and storage media provided in this application determine the coalbed methane (CBM) content of a target well based on target correlation and the Randolph volume and Randolph pressure of adjacent wells. This eliminates the need for experimental core measurements to predict coal reservoir gas content, reducing the complexity and frequency of CBM prediction during the development phase and saving development costs. Furthermore, the gas content of the target well can be determined based on its critical desorption pressure and logging parameters from adjacent wells, improving the accuracy of gas content prediction. Attached Figure Description
[0048] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0049] Figure 1 This is a flowchart of a gas content prediction method provided in an embodiment of this application;
[0050] Figure 2 This is a flowchart of a gas content prediction method provided in an embodiment of this application;
[0051] Figure 3 This is a scatter plot of critical desorption pressure versus measured desorption pressure provided in an embodiment of this application;
[0052] Figure 4 This is a schematic diagram of the structure of a gas content prediction device provided in an embodiment of this application;
[0053] Figure 5 This is a schematic diagram of another gas content prediction device provided in an embodiment of this application;
[0054] Figure 6 This is a schematic diagram of the structure of a terminal provided in an embodiment of this application. Detailed Implementation
[0055] To make the objectives, technical solutions, and advantages of this application clearer, the embodiments of this application will be described in further detail below with reference to the accompanying drawings.
[0056] The method provided in this application is applied in the field of oil and gas extraction. Before mining a coal reservoir through a target well, it is necessary to predict the gas content of the coal reservoir. Using the method provided in this application, the gas content of the coalbed methane in the target well is determined based on the target correlation and the Randolph volume and Randolph pressure of the adjacent wells. It eliminates the need for experimental measurements of rock cores to predict the gas content of the coal reservoir, which not only reduces the complexity and frequency of predicting the gas content of coalbed methane during the development stage, but also saves development costs. Furthermore, the gas content of the target well can be determined based on the critical desorption pressure of the target well and the logging parameters of adjacent wells, thus improving the accuracy of the gas content prediction.
[0057] Figure 1 This is a flowchart illustrating gas content prediction provided in an embodiment of this application. See also... Figure 1 This method is applied in a terminal, and the method includes:
[0058] 101. Obtain the target relevance.
[0059] Among them, the target correlation is used to indicate the correlation between the critical desorption pressure and the measured desorption pressure. The critical desorption pressure is the predicted desorption pressure when desorbing coalbed methane from a coal reservoir, and the measured desorption pressure is the desorption pressure detected at the wellhead when desorbing coalbed methane from a coal reservoir.
[0060] In this embodiment of the application, since it is necessary to determine the gas content of the coal reservoir based on the critical desorption pressure of coalbed methane in the coal reservoir, and the critical desorption pressure of coalbed methane can be determined based on the measured desorption pressure of adjacent wells, the target correlation is first obtained, and the critical desorption pressure of coalbed methane is determined based on the target correlation.
[0061] 102. Based on the measured desorption pressure of the first target well and the target correlation, determine the critical desorption pressure of the first target well.
[0062] In the process of extracting coalbed methane from the first target well, the pressure detected is the actual desorption pressure of the coalbed methane. Based on the measured actual desorption pressure and the target correlation, the critical desorption pressure of the first target well is determined.
[0063] It should be noted that the measured desorption pressure of coalbed methane is actually the pressure at the top of the coal reservoir during the desorption of coalbed methane in the first target well.
[0064] 103. Based on the Langmuir volume, Langmuir pressure and critical desorption pressure of the adjacent wells of the first target well, determine the coalbed methane content of the first target well.
[0065] In this embodiment of the application, the critical desorption pressure of the first target well is determined, and the first target well also has other adjacent wells. The Ranyl volume and Ranyl pressure of the adjacent wells adjacent to the first target well are close to the Ranyl volume and Ranyl pressure of the first target well. Therefore, the Ranyl volume and Ranyl pressure of the adjacent wells can be used to determine the gas content of the coalbed methane in the first target well.
[0066] After the terminal obtains the critical desorption pressure of the first target well and the Langmuir volume and Langmuir pressure of the adjacent wells, the gas content of the coalbed methane in the first target well can be determined based on the critical desorption pressure, Langmuir volume and Langmuir pressure.
[0067] The method provided in this application determines the gas content of coalbed methane in a target well based on target correlation and the Randolph volume and Randolph pressure of adjacent wells. It eliminates the need for experimental measurements of rock cores to predict the gas content of coal reservoirs, reducing the complexity and frequency of predicting coalbed methane content during the development stage, saving development costs, and improving the accuracy of gas content prediction by determining the gas content of the target well based on the critical desorption pressure of the target well and the logging parameters of adjacent wells.
[0068] Figure 2 This is a flowchart illustrating a method for predicting gas content according to an embodiment of this application. See also... Figure 2 This method is applied to a terminal, which can be a mobile phone, tablet computer, personal computer, etc. The method includes:
[0069] 201. Obtain the gas content, Langmuir volume, and Langmuir pressure of at least one second target well.
[0070] In this embodiment of the application, since it is necessary to predict the gas content of the coalbed methane in the first target well and to obtain the critical desorption pressure of the first target well, and the critical desorption pressure of the first target well needs to be referenced with the measured desorption pressure of the first target well, the correlation between the critical desorption pressure and the measured desorption pressure is first determined based on the measurement parameters of at least one second target well, and then the critical desorption pressure of the first target well is determined based on the correlation.
[0071] Before determining the target correlation, the terminal first obtains the gas content, Langmuir volume and Langmuir pressure of at least one second target well.
[0072] For each second target well, rock cores were collected from the coal reservoir of the second target well, and experimental measurements were performed on the rock cores of each second target well to obtain the gas content, Langmuir volume and Langmuir pressure of each second target well.
[0073] Gas content indicates the volume of coalbed methane adsorbed per ton of coal reservoir. Landau volume indicates the maximum volume adsorbed on the surface of each ton of coal reservoir. Landau pressure is the pressure at which the adsorbed coalbed methane reaches a preset percentage of the Landau volume. This preset percentage is set by the terminal, by the operator, or by other means. For example, the preset percentage may be 50%, 60%, or other values.
[0074] 202. Based on the gas content, Langmuir volume and Langmuir pressure of each second target well, determine the critical desorption pressure of each second target well.
[0075] After obtaining the gas content, Langmuir volume, and Langmuir pressure of each second target well, the critical desorption pressure of each second target well can be determined based on the obtained parameters.
[0076] In some embodiments, the critical desorption pressure of each second target well is determined based on the gas content, Langevin volume, Langevin pressure, and isothermal adsorption equation of each second target well.
[0077] For each second target well, at the same temperature, the critical desorption pressure of the second target well can be determined by substituting the gas content, Langevin volume and Langevin pressure of the second target well into the isothermal adsorption equation.
[0078] In some embodiments, the isothermal adsorption equation is expressed by the following formula:
[0079]
[0080] Among them, P 临 V is the critical desorption pressure. 实 V represents gas content. L For the Langführer volume, P L This is the pressure of the Langevin.
[0081] It should be noted that the embodiments in this application are only used as examples to illustrate obtaining the gas content, Langmuir volume, and Langmuir pressure of the second target well. In another embodiment, the measured desorption pressure of the second target well will also be obtained, and the target correlation will be determined based on the determined critical desorption pressure and measured desorption pressure of each second target well.
[0082] 203. Determine the target correlation based on the critical desorption pressure and measured desorption pressure of each second target well.
[0083] In this embodiment of the application, the critical desorption pressure and measured desorption pressure of at least one second target well can be obtained through the above steps 201-202. Since the critical desorption pressure changes with the measured desorption pressure, the target correlation is determined based on the critical desorption pressure and measured desorption pressure of each second target well.
[0084] In some embodiments, the terminal determines an empirical regression equation between the critical desorption pressure and the measured desorption pressure based on the critical desorption pressure and the measured desorption pressure of each second target well, and then the critical desorption pressure can be determined based on the measured desorption pressure of any target well.
[0085] In some embodiments, the target relevance is expressed by the following formula:
[0086]
[0087] Among them, P 临 P is the critical desorption pressure. 读 The measured desorption pressure is given by a and b, which are constants.
[0088] In this embodiment of the application, after the terminal obtains the critical desorption pressure and the measured desorption pressure of at least one second target well, it can determine a and b in the target correlation based on the obtained critical desorption pressure and the measured desorption pressure, and then determine the critical desorption pressure based on the target correlation and the measured desorption pressure.
[0089] The first point to note is that the embodiments in this application are only illustrated using the formula for the target correlation relationship as an example. In another embodiment, regression calculations can also be performed based on the critical desorption pressure and measured desorption pressure of each second target well to obtain the target correlation relationship representing the critical desorption pressure and the measured desorption pressure.
[0090] The second point to note is that the embodiments in this application are only illustrated by taking the execution steps 201-203 as an example. In another embodiment, steps 201-203 may be omitted and step 204 may be executed directly.
[0091] 204. Obtain the relevant relationships of the target.
[0092] Among them, the target correlation is used to indicate the correlation between the critical desorption pressure and the measured desorption pressure. The critical desorption pressure is the predicted desorption pressure when desorbing coalbed methane from a coal reservoir, and the measured desorption pressure is the desorption pressure detected when desorbing coalbed methane from a coal reservoir.
[0093] In this embodiment of the application, after the terminal determines the target correlation through the above steps 201-203, it can directly obtain the determined target correlation.
[0094] In some embodiments, after the terminal determines the target correlation, it can store the determined target correlation. When it is necessary to determine the critical desorption pressure based on the target correlation in the future, the stored target correlation can be directly obtained.
[0095] 205. Based on the measured desorption pressure of the first target well and the target correlation, determine the critical desorption pressure of the first target well.
[0096] In this embodiment of the application, during the extraction of coalbed methane from the first target well, the measured desorption pressure of the first target well will also be measured. When predicting the gas content of the first target well, the critical desorption pressure of the first target well needs to be used. Therefore, the critical desorption pressure of the first target well is determined based on the measured desorption pressure of the first target well and the target correlation.
[0097] 206. Based on the Langmuir volume, Langmuir pressure and critical desorption pressure of the adjacent wells of the first target well, determine the coalbed methane content of the first target well.
[0098] In this embodiment of the application, the Ranyl volume and Ranyl pressure of the first target well are similar to those of the adjacent wells. Therefore, when predicting the gas content of coalbed methane in the first target well, the Ranyl volume and Ranyl pressure of the adjacent wells of the first target well can be used to determine the gas content of coalbed methane.
[0099] The terminal determines the coalbed methane content of the first target well based on the Randolph volume and Randolph pressure of the adjacent wells of the first target well, and the critical desorption pressure of the first target well determined in step 205.
[0100] In this embodiment of the application, it is not necessary to predict the gas content of coal reservoirs through experimental measurements of rock cores during the development stage. The gas content of coalbed methane in the target well is determined directly based on the logging parameters of adjacent wells, which reduces the cost of mining rock cores from the target well and improves resource utilization.
[0101] In some embodiments, the coalbed methane content of the first target well is determined using the following formula, based on the Langmuir volume, Langmuir pressure, and critical desorption pressure of adjacent wells of the first target well:
[0102]
[0103] Among them, P 临 V is the critical desorption pressure. 实 V represents gas content. L For the Langführer volume, P L This is the pressure of the Langevin.
[0104] The embodiments of this application will be described below by way of example. Wherein, the coal reservoir has a depth of 600-1100 meters and a thickness of 5-6 meters, the method for predicting the gas content of the coal reservoir is as follows:
[0105] 1. Obtain parameters such as gas content, Langmuir volume, and Langmuir pressure from the core of at least one appraisal well. Substitute the parameters of each appraisal well into the isothermal adsorption equation to determine the critical desorption pressure of each appraisal well.
[0106] Please refer to Table 1 for the critical desorption pressure of each appraisal well.
[0107] 2. Read the measured desorption pressure of each appraisal well.
[0108] Please refer to Table 1 for the measured desorption pressure of each appraisal well.
[0109] 3. Based on the critical desorption pressure and measured desorption pressure of each evaluation well in Table 1, establish as follows: Figure 3 The scatter plot of the critical desorption pressure versus the measured desorption pressure is shown, and the regression equation is determined based on the scatter plot.
[0110] The determined regression equation is:
[0111] 4. The measured desorption pressure of the target well to be predicted is 2.0 MPa (megapascals).
[0112] 5. Based on the regression equation and the measured desorption pressure, the critical desorption pressure of the target well is determined to be 2.92 MPa.
[0113] 6. Read the Randolph volume and Randolph pressure of adjacent wells to determine the gas content of the target well as 19.79 m³. 3 / t (cubic meters per ton).
[0114] Table 1
[0115]
[0116]
[0117] The method provided in this application determines the gas content of coalbed methane in a target well based on target correlation and the Randolph volume and Randolph pressure of adjacent wells. It eliminates the need for experimental measurements of rock cores to predict the gas content of coal reservoirs, reducing the complexity and frequency of predicting coalbed methane content during the development stage, saving development costs, and improving the accuracy of gas content prediction by determining the gas content of the target well based on the critical desorption pressure of the target well and the logging parameters of adjacent wells.
[0118] Figure 4 This is a schematic diagram of a gas content prediction device provided in an embodiment of this application. See also... Figure 4 The device includes:
[0119] The relation acquisition module 401 is used to acquire the target correlation relation. The target correlation relation is used to indicate the correlation between the critical desorption pressure and the measured desorption pressure. The critical desorption pressure is the predicted desorption pressure when desorbing coalbed methane in the coal reservoir, and the measured desorption pressure is the desorption pressure detected at the wellhead when desorbing coalbed methane in the coal reservoir.
[0120] The pressure determination module 402 is used to determine the critical desorption pressure of the first target well based on the measured desorption pressure of the first target well and the target correlation.
[0121] The gas content determination module 403 is used to determine the coalbed methane content of the first target well based on the Ranfellow volume, Ranfellow pressure and critical desorption pressure of the adjacent wells of the first target well.
[0122] The apparatus provided in this application determines the gas content of coalbed methane in a target well based on target correlation and the Randolph volume and Randolph pressure of adjacent wells. It eliminates the need for experimental measurements of rock cores to predict the gas content of coal reservoirs, reducing the complexity and frequency of predicting coalbed methane content during the development stage, while also saving development costs. Furthermore, the gas content of the target well can be determined based on the critical desorption pressure of the target well and the logging parameters of adjacent wells, thus improving the accuracy of gas content prediction.
[0123] In one possible implementation, see [link to relevant documentation]. Figure 5 The device also includes:
[0124] The parameter acquisition module 404 is used to acquire the gas content, Langmuir volume and Langmuir pressure of at least one second target well;
[0125] The pressure determination module 402 is also used to determine the critical desorption pressure of each second target well based on the gas content, Langmuir volume and Langmuir pressure of each second target well.
[0126] The relationship determination module 405 is used to determine the target correlation based on the critical desorption pressure and measured desorption pressure of each second target well.
[0127] In another possible implementation, the target relevance is expressed by the following formula:
[0128]
[0129] Where Pcrit is the critical desorption pressure, Pread is the measured desorption pressure, and a and b are constants.
[0130] In another possible implementation, the pressure determination module 402 is used to determine the critical desorption pressure of each second target well based on the gas content, Langevin volume, Langevin pressure and isothermal adsorption equation of each second target well.
[0131] In another possible implementation, the isothermal adsorption equation is expressed by the following formula:
[0132]
[0133] Among them, P 临 V is the critical desorption pressure. 实 V represents gas content; L The volume is the Langfurter volume; P L This is the pressure of the Langevin.
[0134] In another possible implementation, the coalbed methane content of the first target well is determined using the following formula, based on the Langmuir volume, Langmuir pressure, and critical desorption pressure of adjacent wells of the first target well:
[0135]
[0136] Among them, P 临 V is the critical desorption pressure. 实 V represents gas content; L The volume is the Langfurter volume; P L This is the pressure of the Langevin.
[0137] It should be noted that the gas content prediction device provided in the above embodiments is only illustrated by the division of the above functional modules. In actual applications, the above functions may be assigned to different functional modules as needed, that is, the internal structure of the terminal may be divided into different functional modules to complete all or part of the functions described above. In addition, the gas content prediction device and the gas content prediction method embodiments provided in the above embodiments belong to the same concept, and their specific implementation process can be found in the method embodiments, which will not be repeated here.
[0138] Figure 6 This is a schematic diagram of the structure of a terminal provided in an embodiment of this application. The terminal 600 can be a portable mobile terminal, such as a smartphone, tablet computer, MP3 player (Moving Picture Experts Group Audio Layer III), MP4 player (Moving Picture Experts Group Audio Layer IV), laptop computer, or desktop computer. The terminal 600 may also be referred to as user equipment, portable terminal, laptop terminal, desktop terminal, or other names.
[0139] Typically, terminal 600 includes a processor 601 and a memory 602.
[0140] Processor 601 may include one or more processing cores, such as a quad-core processor, an octa-core processor, etc. Processor 601 may be implemented using at least one hardware form selected from DSP (Digital Signal Processing), FPGA (Field-Programmable Gate Array), and PLA (Programmable Logic Array). Processor 601 may also include a main processor and a coprocessor. The main processor, also known as a CPU (Central Processing Unit), is used to process data in the wake-up state; the coprocessor is a low-power processor used to process data in the standby state. In some embodiments, processor 601 may integrate a GPU (Graphics Processing Unit), which is responsible for rendering and drawing the content to be displayed on the screen. In some embodiments, processor 601 may also include an AI (Artificial Intelligence) processor, which is used to handle computational operations related to machine learning.
[0141] The memory 602 may include one or more computer-readable storage media, which may be non-transitory. The memory 602 may also include high-speed random access memory and non-volatile memory, such as one or more disk storage devices or flash memory devices. In some embodiments, the non-transitory computer-readable storage media in the memory 602 are used to store at least one program code, which is executed by the processor 601 to implement the gas content prediction method provided in the method embodiments of this application.
[0142] In some embodiments, the terminal 600 may also optionally include a peripheral device interface 603 and at least one peripheral device. The processor 601, memory 602, and peripheral device interface 603 can be connected via a bus or signal line. Each peripheral device can be connected to the peripheral device interface 603 via a bus, signal line, or circuit board. Specifically, the peripheral device includes at least one of the following: a radio frequency circuit 604, a display screen 605, a camera assembly 606, an audio circuit 607, a positioning assembly 608, and a power supply 609.
[0143] Peripheral interface 603 can be used to connect at least one I / O (Input / Output) related peripheral device to processor 601 and memory 602. In some embodiments, processor 601, memory 602 and peripheral interface 603 are integrated on the same chip or circuit board; in some other embodiments, any one or two of processor 601, memory 602 and peripheral interface 603 can be implemented on separate chips or circuit boards, which is not limited in this embodiment.
[0144] The radio frequency (RF) circuit 604 is used to receive and transmit RF (Radio Frequency) signals, also known as electromagnetic signals. The RF circuit 604 communicates with communication networks and other communication devices via electromagnetic signals. The RF circuit 604 converts electrical signals into electromagnetic signals for transmission, or converts received electromagnetic signals back into electrical signals. Optionally, the RF circuit 604 includes: an antenna system, an RF transceiver, one or more amplifiers, a tuner, an oscillator, a digital signal processor, a codec chipset, a user identity module card, etc. The RF circuit 604 can communicate with other terminals through at least one wireless communication protocol. This wireless communication protocol includes, but is not limited to: the World Wide Web, metropolitan area networks, intranets, various generations of mobile communication networks (2G, 3G, 4G, and 5G), wireless local area networks, and / or WiFi (Wireless Fidelity) networks. In some embodiments, the RF circuit 604 may also include circuitry related to NFC (Near Field Communication), which is not limited in this application.
[0145] Display screen 605 is used to display a UI (User Interface). This UI may include graphics, text, icons, videos, and any combination thereof. When display screen 605 is a touch display screen, it also has the ability to collect touch signals on or above its surface. These touch signals can be input as control signals to processor 601 for processing. In this case, display screen 605 can also be used to provide virtual buttons and / or a virtual keyboard, also known as soft buttons and / or a soft keyboard. In some embodiments, there may be one display screen 605, disposed on the front panel of terminal 600; in other embodiments, there may be at least two display screens, disposed on different surfaces of terminal 600 or in a folded design; in other embodiments, display screen 605 may be a flexible display screen, disposed on a curved or folded surface of terminal 600. Furthermore, display screen 605 may be configured as a non-rectangular, irregular shape, i.e., a non-rectangular screen. Display screen 605 may be made of materials such as LCD (Liquid Crystal Display) or OLED (Organic Light-Emitting Diode).
[0146] The camera assembly 606 is used to acquire images or videos. Optionally, the camera assembly 606 includes a front-facing camera and a rear-facing camera. Typically, the front-facing camera is located on the front panel of the terminal, and the rear-facing camera is located on the back of the terminal. In some embodiments, there are at least two rear-facing cameras, which are any one of a main camera, a depth-sensing camera, a wide-angle camera, and a telephoto camera, to achieve background blurring by fusion of the main camera and the depth-sensing camera, panoramic shooting by fusion of the main camera and the wide-angle camera, VR (Virtual Reality) shooting, or other fusion shooting functions. In some embodiments, the camera assembly 606 may also include a flash. The flash can be a single-color temperature flash or a dual-color temperature flash. A dual-color temperature flash refers to a combination of a warm light flash and a cool light flash, which can be used for light compensation at different color temperatures.
[0147] The audio circuit 607 may include a microphone and a speaker. The microphone is used to collect sound waves from the user and the environment, converting the sound waves into electrical signals that are input to the processor 601 for processing, or input to the radio frequency circuit 604 for voice communication. For stereo sound acquisition or noise reduction purposes, multiple microphones may be used, each located at a different part of the terminal 600. The microphone may also be an array microphone or an omnidirectional microphone. The speaker is used to convert the electrical signals from the processor 601 or the radio frequency circuit 604 into sound waves. The speaker may be a conventional diaphragm speaker or a piezoelectric ceramic speaker. When the speaker is a piezoelectric ceramic speaker, it can convert electrical signals not only into audible sound waves but also into inaudible sound waves for purposes such as distance measurement. In some embodiments, the audio circuit 607 may also include a headphone jack.
[0148] The positioning component 608 is used to determine the current geographic location of the terminal 600 in order to enable navigation or LBS (Location Based Service). The positioning component 608 can be a positioning component based on the US GPS (Global Positioning System), China's BeiDou system, or Russia's Galileo system.
[0149] Power supply 609 is used to supply power to the various components in terminal 600. Power supply 609 can be AC power, DC power, a disposable battery, or a rechargeable battery. When power supply 609 includes a rechargeable battery, the rechargeable battery can be a wired rechargeable battery or a wireless rechargeable battery. A wired rechargeable battery is a battery that is charged via a wired line, and a wireless rechargeable battery is a battery that is charged via a wireless coil. The rechargeable battery can also be used to support fast charging technology.
[0150] In some embodiments, the terminal 600 further includes one or more sensors 610. The one or more sensors 610 include, but are not limited to: an accelerometer 611, a gyroscope 612, a pressure sensor 613, a fingerprint sensor 614, an optical sensor 615, and a proximity sensor 616.
[0151] Accelerometer 611 can detect the magnitude of acceleration along the three coordinate axes of a coordinate system established by terminal 600. For example, accelerometer 611 can be used to detect the components of gravitational acceleration along the three coordinate axes. Processor 601 can control display screen 605 to display the user interface in either a landscape or portrait view based on the gravitational acceleration signal acquired by accelerometer 611. Accelerometer 611 can also be used for games or for acquiring user motion data.
[0152] The gyroscope sensor 612 can detect the orientation and rotation angle of the terminal 600. The gyroscope sensor 612, in conjunction with the accelerometer sensor 611, can collect 3D motion data from the user on the terminal 600. Based on the data collected by the gyroscope sensor 612, the processor 601 can perform the following functions: motion sensing (e.g., changing the UI based on the user's tilt), image stabilization during shooting, game control, and inertial navigation.
[0153] The pressure sensor 613 can be disposed on the side bezel of the terminal 600 and / or on the lower layer of the display screen 605. When the pressure sensor 613 is disposed on the side bezel of the terminal 600, it can detect the user's grip signal on the terminal 600, and the processor 601 can perform left / right hand recognition or quick operation based on the grip signal collected by the pressure sensor 613. When the pressure sensor 613 is disposed on the lower layer of the display screen 605, the processor 601 can control the operable controls on the UI interface based on the user's pressure operation on the display screen 605. The operable controls include at least one of button controls, scroll bar controls, icon controls, and menu controls.
[0154] The fingerprint sensor 614 is used to collect the user's fingerprint. The processor 601 identifies the user's identity based on the fingerprint collected by the fingerprint sensor 614, or the fingerprint sensor 614 identifies the user's identity based on the collected fingerprint. When the user's identity is identified as trusted, the processor 601 authorizes the user to perform relevant sensitive operations, including unlocking the screen, viewing encrypted information, downloading software, making payments, and changing settings. The fingerprint sensor 614 can be located on the front, back, or side of the terminal 600. When the terminal 600 has physical buttons or a manufacturer's logo, the fingerprint sensor 614 can be integrated with the physical buttons or manufacturer's logo.
[0155] An optical sensor 615 is used to collect ambient light intensity. In one embodiment, the processor 601 can control the display brightness of the display screen 605 based on the ambient light intensity collected by the optical sensor 615. Specifically, when the ambient light intensity is high, the display brightness of the display screen 605 is increased; when the ambient light intensity is low, the display brightness of the display screen 605 is decreased. In another embodiment, the processor 601 can also dynamically adjust the shooting parameters of the camera assembly 606 based on the ambient light intensity collected by the optical sensor 615.
[0156] The proximity sensor 616, also known as a distance sensor, is typically mounted on the front panel of the terminal 600. The proximity sensor 616 is used to detect the distance between the user and the front of the terminal 600. In one embodiment, when the proximity sensor 616 detects that the distance between the user and the front of the terminal 600 is gradually decreasing, the processor 601 controls the display screen 605 to switch from a screen-on state to a screen-off state; when the proximity sensor 616 detects that the distance between the user and the front of the terminal 600 is gradually increasing, the processor 601 controls the display screen 605 to switch from a screen-off state to a screen-on state.
[0157] Those skilled in the art will understand that Figure 6 The structure shown does not constitute a limitation on terminal 600, and may include more or fewer components than shown, or combine certain components, or use different component arrangements.
[0158] This application also provides a computer-readable storage medium storing at least one piece of program code, which is loaded and executed by a processor to implement the operations performed in the gas content prediction method of the above embodiments.
[0159] This application also provides a computer program product or computer program, which includes computer program code stored in a computer-readable storage medium. The processor of the terminal reads the computer program code from the computer-readable storage medium and executes the computer program code, causing the terminal to perform the operations performed in the gas content prediction method described above.
[0160] The above description is only for the purpose of enabling those skilled in the art to understand the technical solution of this application and is not intended to limit this application. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the protection scope of this application.
Claims
1. A method for predicting gas content, characterized in that, The method includes: Obtain the target correlation, which is used to indicate the correlation between the critical desorption pressure and the measured desorption pressure. The critical desorption pressure is the predicted desorption pressure when desorbing coalbed methane in a coal reservoir, and the measured desorption pressure is the desorption pressure detected at the wellhead when desorbing coalbed methane in the coal reservoir. Based on the measured desorption pressure of the first target well and the target correlation, the critical desorption pressure of the first target well is determined. The measured desorption pressure of the first target well is the pressure at the top of the coal reservoir when the coalbed methane of the first target well is desorbed. Based on the Langmuir volume, Langmuir pressure and critical desorption pressure of the adjacent wells of the first target well, the coalbed methane content of the first target well is determined. The target relevance is expressed by the following formula: in, The critical desorption pressure is [value]. The measured desorption pressure is given by a, and b are constants; a and b are determined based on the critical desorption pressure and measured desorption pressure of at least one second target well.
2. The method according to claim 1, characterized in that, Before obtaining the target relevance, the method further includes: Obtain the gas content, Langmuir volume, and Langmuir pressure of at least one second target well; Based on the gas content, the Langmuir volume, and the Langmuir pressure of each second target well, the critical desorption pressure of each second target well is determined; The target correlation is determined based on the critical desorption pressure and measured desorption pressure of each second target well.
3. The method according to claim 2, characterized in that, The determination of the critical desorption pressure for each second target well based on the gas content, the Langmuir volume, and the Langmuir pressure includes: Based on the gas content, the Langmuir volume, the Langmuir pressure, and the isothermal adsorption equation for each second target well, the critical desorption pressure for each second target well is determined.
4. The method according to claim 3, characterized in that, The isothermal adsorption equation is expressed by the following formula: in, The critical desorption pressure is [value]. The gas content, For the Langevin volume, The term refers to the Langmuir pressure.
5. The method according to any one of claims 1 to 4, characterized in that, The coalbed methane content of the first target well is determined using the following formula, based on the Langmuir volume, Langmuir pressure, and critical desorption pressure of adjacent wells of the first target well: in, The critical desorption pressure is [value]. The gas content, For the Langevin volume, The term refers to the Langmuir pressure.
6. A gas content prediction device, characterized in that, The device includes: The relationship acquisition module is used to acquire target correlation relationships, which are used to indicate the correlation between critical desorption pressure and measured desorption pressure. The critical desorption pressure is the predicted desorption pressure when desorbing coalbed methane in a coal reservoir, and the measured desorption pressure is the desorption pressure detected at the wellhead when desorbing coalbed methane in the coal reservoir. The pressure determination module is used to determine the critical desorption pressure of the first target well based on the measured desorption pressure of the first target well and the target correlation, wherein the measured desorption pressure of the first target well is the pressure at the top of the coal reservoir when the coalbed methane of the first target well is desorbed. The gas content determination module is used to determine the coalbed methane content of the first target well based on the Langmuir volume, Langmuir pressure and critical desorption pressure of the adjacent wells of the first target well. The target relevance is expressed by the following formula: in, The critical desorption pressure is [value]. The measured desorption pressure is given by a, and b are constants; a and b are determined based on the critical desorption pressure and measured desorption pressure of at least one second target well.
7. The apparatus according to claim 6, characterized in that, The device further includes: The parameter acquisition module is used to acquire the gas content, Langmuir volume, and Langmuir pressure of at least one second target well. The pressure determination module is further configured to determine the critical desorption pressure of each second target well based on the gas content, the Langmuir volume, and the Langmuir pressure of each second target well. The relationship determination module is used to determine the target correlation based on the critical desorption pressure and measured desorption pressure of each second target well.
8. A terminal, characterized in that, The terminal includes a processor and a memory, the memory storing at least one piece of program code, which is loaded and executed by the processor to perform the operations performed in the gas content prediction method as described in any one of claims 1 to 5.
9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores at least one piece of program code, which is loaded and executed by a processor to perform the operations performed in the gas content prediction method as described in any one of claims 1 to 5.