A model database management method and device for oil and gas fields

Abstract

The application discloses a model database management method and device for oil and gas fields, and the method comprises the following steps: establishing model databases of different levels; acquiring basic information of an oil and gas field model, determining model characters and model indexes according to the basic information; temporarily storing the model characters into a preset level of the model database; and storing the oil and gas field model into a corresponding level of the model database by using the model indexes and the model characters in the preset level of the model database. The model is stored in a proper position by finely dividing the databases of different levels, the storage position and priority of the model are determined according to the important indexes and preset indexes of the model, and the access and utilization efficiency of the model data is improved. The various model data involved in the oil and gas field ground production can be uniformly stored and managed, the problems of data dispersion and confusion are avoided, and the accuracy and effect of decision-making and production are effectively improved.

Description

Technical Field

[0001] This invention relates to the field of oil and gas field management technology, and specifically to a model database management method and apparatus for oil and gas fields. Background Technology

[0002] In the process of oil and gas field extraction, the produced crude oil, natural gas, or other combustible gases are processed and refined to meet the requirements of commercial production. This includes various processes and operations, such as collecting and processing underground oil and gas, separating impurities from the oil and gas, adjusting the composition and properties of the oil and gas, and storing and transporting oil and gas products. Surface production in oil and gas fields requires the use of various equipment and tools, such as drilling equipment, separators, compressors, and storage tanks. Through various technological steps and control measures, crude oil and natural gas are processed into products that meet market demands, while ensuring the safety and environmental protection of the production process. Surface production in oil and gas fields is a crucial link in the entire oil and gas extraction process. It not only plays a decisive role in the development and utilization of resources but also directly relates to the stability of energy supply and economic development.

[0003] To ensure production safety during surface production in oil and gas fields, various measures are typically employed for field management, such as digital twin technology. However, current digital twin technology suffers from challenges due to the sheer volume and diversity of model data and the lack of a unified management system. This results in fragmented data storage, difficulties in retrieval, redundant storage, resource waste, and compromised data security. Summary of the Invention

[0004] In view of this, embodiments of the present invention provide a model database management method and apparatus for oil and gas fields, which solves the problems of scattered model data storage and difficulty in retrieval in existing methods, which easily leads to redundant storage and waste of resources, and low model data security.

[0005] According to a first aspect, embodiments of the present invention provide a model database management method for oil and gas fields, comprising: Establish model databases at different levels; Obtain basic information about the oil and gas field model, and determine the model characters and model indexes based on the basic information; The model characters are temporarily stored in the model database at a preset level; In the model database of the preset level, the oil and gas field model is stored in the model database of the corresponding level using the model index and the model character.

[0006] The model database management method for oil and gas fields provided in this invention helps optimize the management and organization of model databases. By finely dividing the database into different levels, models are stored in appropriate locations. Based on the model's importance index and preset indices, the storage location and priority of the models are determined, improving the efficiency of accessing and utilizing model data. Various types of model data involved in oil and gas field surface production can be uniformly stored and managed, avoiding the problems of data dispersion and chaos. This facilitates the acquisition and utilization of various models, improving decision-making and production efficiency. Through model processing and evaluation, the importance and contribution of models are accurately determined, effectively improving the security of model data and enabling rapid retrieval of highly important model data, effectively improving the accuracy and effectiveness of decision-making and production.

[0007] In conjunction with the first aspect, in the first embodiment of the first aspect, the establishment of model databases at different levels includes: Different access levels can be set to restrict access permissions to the model database; The model database includes: a first-level database, a second-level database, and a third-level database.

[0008] In conjunction with the first embodiment of the first aspect, in the second embodiment of the first aspect, the step of obtaining basic information of the oil and gas field model and determining model characters and model indices based on the basic information includes: The basic information includes model name, model location, model type, and model source; By combining the model name, model location, model type, and model origin, a corresponding model character is determined, which is used to uniquely identify the oil and gas field model. The data size, model completeness, and model storage level of the oil and gas field model are obtained, and the oil and gas field model is processed according to the data size, model completeness, and model storage level to determine the model index.

[0009] In conjunction with the second embodiment of the first aspect, in the third embodiment of the first aspect, the model index is determined by the following formula: △P=S*g1+W*g2+J*g3 Where S is the data size, W is the model completeness, and J is the model storage level, W=0, ...,1; J=1,2,3; g1 is the weight of S, g2 is the weight of W, and g3 is the weight of J, 0<g1<g2<g3<1.

[0010] In conjunction with the second embodiment of the first aspect, in the fourth embodiment of the first aspect, storing the oil and gas field model in the model database of the corresponding level using the model index and the model characters includes: Obtain the correlation value G0 of the oil and gas field model; A first preset association value G1, a second preset association value G2, a third preset association value G3 and a fourth preset association value G4 are preset, and G1 < G2 < G3 < G4; A first preset adjustment coefficient A1, a second preset adjustment coefficient A2, a third preset adjustment coefficient A3 and a fourth preset adjustment coefficient A4 are preset, and A1 < A2 < A3 < A4; Based on the relationship between the correlation value G0 and each preset correlation value, an adjustment coefficient is selected to adjust the model index, and the target index of the model is determined. Using the model target index and the model characters, the oil and gas field model is stored in the model database of the corresponding level.

[0011] In conjunction with the fourth embodiment of the first aspect, in the fifth embodiment of the first aspect, the step of adjusting the model index by selecting an adjustment coefficient based on the magnitude relationship between the correlation value G0 and each preset correlation value, and determining the model target index, includes: When G1≤G0<G2, the first preset adjustment coefficient A1 is selected to adjust the model index, and the first target index of the model is determined. When G2≤G0<G3, the second preset adjustment coefficient A2 is selected to adjust the model index and determine the first target index of the model; When G3≤G0<G4, the third preset adjustment coefficient A3 is selected to adjust the model index and determine the first target index of the model; When G4≤G0, the fourth preset adjustment coefficient A4 is selected to adjust the model index, and the first target index of the model is determined; The time difference between the time when the oil and gas field model completes storage and the preset storage time, the first preset difference T1, the second preset difference T2, the third preset difference T3 and the fourth preset difference T4 are obtained, and T1 < T2 < T3 < T4. Based on the relationship between the time difference ΔT and each preset difference, a target adjustment coefficient is selected to adjust the first target index, thereby determining the model target index.

[0012] In conjunction with the fifth embodiment of the first aspect, in the sixth embodiment of the first aspect, the step of adjusting the first target index by selecting a target adjustment coefficient based on the relationship between the time difference ΔT and each preset difference, and determining the model target index, includes: When T1≤△T<T2, the first target index is adjusted by the fourth preset adjustment coefficient A4 to obtain the model target index; When T2≤△T<T3, the third preset adjustment coefficient A3 is selected to adjust the first target index to obtain the model target index; When T3≤△T<T4, the second preset adjustment coefficient A2 is selected to adjust the first target index to obtain the model target index; When T4≤△T, the first preset adjustment coefficient A4 is selected to adjust the first target index to obtain the model target index.

[0013] In conjunction with the sixth embodiment of the first aspect, in the seventh embodiment of the first aspect, the step of storing the oil and gas field model in the corresponding level of the model database using the model target index and the model characters includes: Obtain the first preset index P1, the second preset index P2, the third preset index P3 and the fourth preset index P4, where P1 < P2 < P3 < P4; Based on the relationship between the target index of the model and each preset index, the model database corresponding to the level of the oil and gas field model is determined.

[0014] In conjunction with the seventh embodiment of the first aspect, in the eighth embodiment of the first aspect, the step of determining the model database corresponding to the level of the oil and gas field model based on the magnitude relationship between the model target index and each preset index includes: When the target index of the model is between P1 and P2, the oil and gas field model is stored in the third-level database. When the target index of the model is between P2 and P3, the oil and gas field model is stored in the second-level database. When the target index of the model is between P3 and P4, the oil and gas field model is stored in the first-level database.

[0015] According to a second aspect, the model database management device for oil and gas fields provided in the embodiments of the present invention includes: The first processing module is used to establish model databases at different levels; The second processing module is used to acquire basic information of the oil and gas field model and determine the model characters and model index based on the basic information. The third processing module is used to temporarily store the model characters in the model database at a preset level; The fourth processing module is used to store the oil and gas field model in the model database of the corresponding level using the model index and the model character.

[0016] According to a third aspect, embodiments of the present invention provide an electronic device, including: a memory and a processor, wherein the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the computer instructions to perform the model database management method for oil and gas fields as described in the first aspect or any embodiment of the first aspect.

[0017] According to a fourth aspect, embodiments of the present invention provide a computer-readable storage medium storing computer instructions for causing the computer to perform the model database management method for oil and gas fields as described in the first aspect or any embodiment of the first aspect. Attached Figure Description

[0018] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0019] Figure 1 This is a flowchart of a model database management method for oil and gas fields according to an embodiment of the present invention; Figure 2 This is a schematic diagram of the functional modules of a model database management device for oil and gas fields according to an embodiment of the present invention; Figure 3 This is a schematic diagram of the hardware structure of the electronic device provided in an embodiment of the present invention. Detailed Implementation

[0020] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0021] Example 1 This embodiment provides a model database management method for oil and gas fields, which can be used on electronic devices such as computers, mobile phones, and tablets. Figure 1 This is a flowchart of a model database management method for oil and gas fields according to an embodiment of the present invention. Figure 1 As shown, the process includes the following steps: S11, establish model databases at different levels. These model databases include: Level 1, Level 2, and Level 3 databases. Different access levels are set to restrict access permissions to the model databases. Specifically, Level 1, Level 2, and Level 3 access levels are pre-defined. Level 1 access allows access to all content in the model database; Level 2 access allows access to content in both Level 2 and Level 3 databases; and Level 3 access allows access to content in only Level 3 databases. Level 1 has the highest access permission, allowing access to all content in the model databases, including model data in all three databases. Level 2 has relatively high access permission, allowing access to content in both Level 2 and Level 3 databases, but not to model data in Level 1 databases. Level 3 has the lowest access permission, allowing access only to content in Level 3 databases, but not to model data in Level 1 or Level 2 databases.

[0022] By setting access levels, flexible control over access permissions to model data in the model database is achieved. Different levels grant access to different levels of the database, restricting access to sensitive or confidential model data based on user roles and needs. For example, the first access level provides senior decision-makers or professionals with full access to model data, while the third access level is for ordinary users or public access scenarios, providing only basic model data access. By restricting access to model data in the model database at different access levels, sensitive or confidential model data is effectively protected from unauthorized access. Setting different access levels allows for flexible control of model data access based on actual circumstances, providing customized data access services. By storing model data hierarchically in different levels of databases and setting corresponding access levels, data isolation and management are achieved, facilitating data organization, classification, and maintenance.

[0023] S12, Obtain basic information of the oil and gas field model, and determine the model characters and model indices based on the basic information. In this embodiment, the basic information of the pre-stored model is obtained, and model characters are generated based on the basic information, including: the basic information includes model name M, model location D, model type Z, and model source L; the model characters {MDZL} are established based on the model name M, model location D, model type Z, and model source L. It should be noted that the data acquisition process and the acquisition equipment are existing technologies, and this embodiment is not limited thereto. Detailed information will be described in subsequent steps, and will not be repeated in this embodiment.

[0024] S13, the model characters are temporarily stored in a preset-level model database. This preset-level model database is a third-level database, and the oil and gas field model is also temporarily stored in this database. The model data is effectively stored and archived, laying the foundation for subsequent retrieval and utilization. It should be noted that this embodiment only uses a third-level database as an example of the preset-level model database. In practical applications, the database can be set according to actual needs. Detailed information will be elaborated in subsequent steps, and will not be repeated in this embodiment.

[0025] S14, in the preset-level model database, the oil and gas field model is stored in the corresponding-level model database using model indices and model characters. In this embodiment, model characters are searched in the third-level database; when identical model characters exist, the pre-stored model (i.e., the oil and gas field model) and the original model are stored in the same-level database; when identical model characters do not exist, the pre-stored model is processed to obtain a model importance index, and the pre-stored model is stored in the corresponding-level database according to the model importance index. Through the processing and evaluation of the model, the importance of the model can be accurately determined, and model data with higher importance can be prioritized and managed, effectively improving the security of model data and the accuracy of decision-making and production. Detailed information will be described in subsequent steps, and will not be repeated in this embodiment.

[0026] The model database management method for oil and gas fields provided in this embodiment helps optimize the management and organization of model databases. By finely dividing the database into different levels, models are stored in appropriate locations. Based on the importance index and preset index of the models, the storage location and priority of the models are determined, improving the efficiency of accessing and utilizing model data. Various types of model data involved in oil and gas field surface production can be uniformly stored and managed, avoiding the problems of data dispersion and chaos. This facilitates the acquisition and utilization of various models, improving decision-making and production efficiency. Through model processing and evaluation, the importance and contribution of models are accurately determined, effectively improving the security of model data and enabling rapid retrieval of highly important model data, effectively improving the accuracy and effectiveness of decision-making and production.

[0027] Example 2 In another embodiment, a model database management method for oil and gas fields is also provided. The model database management method for oil and gas fields according to embodiments of the present invention includes the following steps: S21, Establish model databases at different levels. See step S11 in the above embodiments for details; this embodiment will not repeat the description.

[0028] S22, Obtain basic information about the oil and gas field model, and determine the model name and model index based on the basic information. The basic information includes the model name, model location, model type, and model source. Specifically, step S22 further includes the following steps: S221, by combining the model name, model location, model type, and model origin, a corresponding model character is determined. This model character uniquely identifies the oil and gas field model. The generated model character uniquely identifies each oil and gas field model and ensures that different models have different character representations. This helps avoid confusion and duplication of model data. Using model characters, model data can be easily retrieved and managed. By comparing and matching model characters, the required model data can be found quickly and accurately, improving data retrieval efficiency and management accuracy. The basic information contained in the model characters can be used to classify and organize models. By extracting and analyzing information such as location, type, and origin from the model characters, model data can be reasonably classified and organized, facilitating subsequent use and analysis.

[0029] S222: Obtain the data size S, model integrity W, and model storage level J of the oil and gas field model. Process the oil and gas field model based on these parameters to determine the model index. The model data size S can be in megabytes (MB), with the specific unit adjusted according to application requirements. Model integrity W refers to the completeness or integrity of the pre-stored model. It reflects whether the model has been damaged, lost, or altered during storage and transmission. Model integrity measures whether the model data is complete, accurate, and free from loss or damage. The integrity of the model data is verified using data verification algorithms or checksums. These algorithms can detect data corruption or tampering by calculating checksums or using other verification mechanisms. In calculating model importance, storage personnel level is considered to balance the contributions of different storage personnel to model database management. Higher-level storage personnel have higher weighting because their technical skills and experience better ensure the security and reliability of model data. By introducing storage personnel level (i.e., storage level) as one of the factors in calculating the model importance index, the importance of the pre-stored model can be more accurately assessed and measured.

[0030] Specifically, △P=S*g1+W*g2+J*g3 Where S is the data size, W is the model completeness, J is the model storage level, W=0,……,1; J=1,2,3; g1 is the weight of S, g2 is the weight of W, g3 is the weight of J, 0<g1<g2<g3<1.

[0031] S23, temporarily store the model characters in a model database of a preset level. See step S13 in the above embodiment for details; this embodiment will not repeat it.

[0032] S24. In the model database of the preset level, the oil and gas field model is stored in the model database of the corresponding level using the model index and model characters.

[0033] Specifically, in this embodiment, step S24 further includes the following steps: S241, Obtain the correlation value G0 of the oil and gas field model.

[0034] S242, a first preset association value G1, a second preset association value G2, a third preset association value G3 and a fourth preset association value G4 are preset, and G1 < G2 < G3 < G4.

[0035] S243, a first preset adjustment coefficient A1, a second preset adjustment coefficient A2, a third preset adjustment coefficient A3 and a fourth preset adjustment coefficient A4 are preset, and A1 < A2 < A3 < A4.

[0036] S244, based on the relationship between the correlation value G0 and each preset correlation value, an adjustment coefficient is selected to adjust the model index, determining the model target index. Correlation value refers to the value of upstream and downstream industries or processes related to the oil and gas field model data. For example, in oil and gas field surface production, the oil and gas storage model itself may have low technological innovation, but it is the core of oil and gas transportation and transshipment. The importance of its model data is also affected by upstream and downstream related processes. Therefore, it is necessary to adaptively adjust the model importance index of the pre-stored model based on the correlation data. By introducing preset adjustment coefficients, the model importance index can be dynamically adjusted to better adapt to different correlation values. Specifically, When G1≤G0<G2, the first preset adjustment coefficient A1 is selected to adjust the model index and determine the first target index of the model; when G2≤G0<G3, the second preset adjustment coefficient A2 is selected to adjust the model index and determine the first target index of the model; when G3≤G0<G4, the third preset adjustment coefficient A3 is selected to adjust the model index and determine the first target index of the model; when G4≤G0, the fourth preset adjustment coefficient A4 is selected to adjust the model index and determine the first target index of the model. Furthermore, after adjusting the model index △P by selecting the i-th preset adjustment coefficient Ai and obtaining the adjusted first target index △P*Ai, i=1, 2, 3, 4, the time difference △T between the time when the oil and gas field model completes storage and the preset storage time, the first preset difference T1, the second preset difference T2, the third preset difference T3 and the fourth preset difference T4 are obtained, and T1<T2<T3<T4; according to the relationship between the time difference △T and each preset difference, the target adjustment coefficient is selected to adjust the first target index and the model target index is determined.

[0037] Specifically, when T1 ≤ ΔT < T2, the first target index is adjusted using the fourth preset adjustment coefficient A4 to obtain the model target index; when T2 ≤ ΔT < T3, the first target index is adjusted using the third preset adjustment coefficient A3 to obtain the model target index; when T3 ≤ ΔT < T4, the first target index is adjusted using the second preset adjustment coefficient A2 to obtain the model target index; and when T4 ≤ ΔT, the first target index is adjusted using the first preset adjustment coefficient A4 to obtain the model target index. That is, after selecting the i-th preset adjustment coefficient to perform a second adjustment on the model's first target index ΔP*Ai, and obtaining the second adjusted model target index ΔP*Ai*Ai, i = 1, 2, 3, 4.

[0038] S245 utilizes the model target index and model characters to store oil and gas field models in the corresponding level of the model database. In practical applications, (1) Obtain the first preset index P1, the second preset index P2, the third preset index P3 and the fourth preset index P4, and P1 < P2 < P3 < P4; (2) Determine the model database of the corresponding level of the oil and gas field model according to the relationship between the target index of the model and each preset index.

[0039] Specifically, when the model's target index is between P1 and P2, the oil and gas field model is stored in the third-level database; when the model's target index is between P2 and P3, the oil and gas field model is stored in the second-level database; and when the model's target index is between P3 and P4, the oil and gas field model is stored in the first-level database.

[0040] This embodiment provides a model database management device for oil and gas fields. As used below, the term "module" can refer to a combination of software and / or hardware that performs a predetermined function. Although the device described in the following embodiments is preferably implemented in software, hardware implementation, or a combination of software and hardware, is also possible and contemplated.

[0041] Example 3 This invention discloses a model database management device for oil and gas fields, such as... Figure 2 As shown, it includes: The first processing module is used to establish model databases at different levels; The second processing module is used to obtain basic information about the oil and gas field model and determine the model characters and model indexes based on the basic information. The third processing module is used to temporarily store model characters in a model database at a preset level; The fourth processing module is used to store oil and gas field models in the corresponding level model database by using model indices and model characters in the model database of the preset level.

[0042] The model database management device for oil and gas fields provided in this embodiment of the invention performs a license plate-free vehicle algorithm to determine the vehicle without a license plate for transaction records where no license plate is detected. If the algorithm confirms that the vehicle is without a license plate, a free transaction record is automatically generated without manual processing, which greatly reduces the time and cost of manual verification.

[0043] This invention also provides an electronic device, please refer to [link / reference]. Figure 3 , Figure 3 This is a schematic diagram of the structure of an electronic device provided in an optional embodiment of the present invention, such as... Figure 3As shown, the electronic device may include: at least one processor 601, such as a CPU (Central Processing Unit), at least one communication interface 603, memory 604, and at least one communication bus 602. The communication bus 602 is used to enable communication between these components. The communication interface 603 may include a display screen and a keyboard; optionally, the communication interface 603 may also include a standard wired interface or a wireless interface. The memory 604 may be high-speed RAM (Random Access Memory) or non-volatile memory, such as at least one disk storage device. Optionally, the memory 604 may also be at least one storage device located remotely from the aforementioned processor 601. The processor 601 may be combined with... Figure 3 The described apparatus has an application program stored in memory 604, and a processor 601 calls the program code stored in memory 604 to perform any of the above method steps.

[0044] The communication bus 602 can be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus, etc. The communication bus 602 can be divided into an address bus, a data bus, and a control bus, etc. For ease of representation, Figure 3 The bus is represented by a single thick line, but this does not mean that there is only one bus or one type of bus.

[0045] The memory 604 may include volatile memory, such as random-access memory (RAM); the memory may also include non-volatile memory, such as flash memory, hard disk drive (HDD) or solid-state drive (SSD); the memory 604 may also include a combination of the above types of memory.

[0046] The processor 601 can be a central processing unit (CPU), a network processor (NP), or a combination of a CPU and an NP.

[0047] The processor 601 may further include a hardware chip. This hardware chip may be an application-specific integrated circuit (ASIC), a programmable logic device (PLD), or a combination thereof. The PLD may be a complex programmable logic device (CPLD), a field-programmable gate array (FPGA), a generic array logic (GAL), or any combination thereof.

[0048] Optionally, the memory 604 is also used to store program instructions. The processor 601 can call the program instructions to implement the model database management method for oil and gas fields as shown in the embodiments of this application.

[0049] This invention also provides a non-transitory computer storage medium storing computer-executable instructions that can execute the model database management method for oil and gas fields in any of the above-described method embodiments. The storage medium can be a magnetic disk, optical disk, read-only memory (ROM), random access memory (RAM), flash memory, hard disk drive (HDD), or solid-state drive (SSD), etc.; the storage medium may also include combinations of the above types of memory.

[0050] Although embodiments of the invention have been described in conjunction with the accompanying drawings, those skilled in the art can make various modifications and variations without departing from the spirit and scope of the invention, and such modifications and variations all fall within the scope defined by the appended claims.

Claims

1. A method for managing a model database for oil and gas fields, characterized in that, include: Establish model databases at different levels; Obtain basic information about the oil and gas field model, and determine the model characters and model indexes based on the basic information; The model characters are temporarily stored in the model database at a preset level; In the model database of the preset level, the oil and gas field model is stored in the model database of the corresponding level using the model index and the model character.

2. The method according to claim 1, characterized in that, The establishment of model databases at different levels includes: Different access levels can be set to restrict access permissions to the model database; The model database includes: a first-level database, a second-level database, and a third-level database.

3. The method according to claim 2, characterized in that, The process of acquiring basic information about the oil and gas field model and determining model characters and model indices based on the basic information includes: The basic information includes model name, model location, model type, and model source; By combining the model name, model location, model type, and model origin, a corresponding model character is determined, which is used to uniquely identify the oil and gas field model. The data size, model completeness, and model storage level of the oil and gas field model are obtained, and the oil and gas field model is processed according to the data size, model completeness, and model storage level to determine the model index.

4. The method according to claim 3, characterized in that, include: The model index is determined using the following formula: △P=S*g1+W*g2+J*g3 Where S is the data size, W is the model completeness, and J is the model storage level, W=0, ...,1; J=1,2,3; g1 is the weight of S, g2 is the weight of W, and g3 is the weight of J, 0<g1<g2<g3<1.

5. The method according to claim 3, characterized in that, The step of storing the oil and gas field model in the model database of the preset level, using the model index and the model characters, includes: Obtain the correlation value G0 of the oil and gas field model; A first preset association value G1, a second preset association value G2, a third preset association value G3 and a fourth preset association value G4 are preset, and G1 < G2 < G3 < G4; A first preset adjustment coefficient A1, a second preset adjustment coefficient A2, a third preset adjustment coefficient A3 and a fourth preset adjustment coefficient A4 are preset, and A1 < A2 < A3 < A4; Based on the relationship between the correlation value G0 and each preset correlation value, an adjustment coefficient is selected to adjust the model index, and the target index of the model is determined. Using the model target index and the model characters, the oil and gas field model is stored in the model database of the corresponding level.

6. The method according to claim 5, characterized in that, The step of adjusting the model index by selecting an adjustment coefficient based on the relationship between the correlation value G0 and each preset correlation value, and determining the model target index, includes: When G1≤G0<G2, the first preset adjustment coefficient A1 is selected to adjust the model index, and the first target index of the model is determined. When G2≤G0<G3, the second preset adjustment coefficient A2 is selected to adjust the model index and determine the first target index of the model; When G3≤G0<G4, the third preset adjustment coefficient A3 is selected to adjust the model index and determine the first target index of the model; When G4≤G0, the fourth preset adjustment coefficient A4 is selected to adjust the model index, and the first target index of the model is determined; The time difference between the time when the oil and gas field model completes storage and the preset storage time, the first preset difference T1, the second preset difference T2, the third preset difference T3 and the fourth preset difference T4 are obtained, and T1 < T2 < T3 < T4. Based on the relationship between the time difference ΔT and each preset difference, a target adjustment coefficient is selected to adjust the first target index, thereby determining the model target index.

7. The method according to claim 6, characterized in that, The step of adjusting the first target index by selecting a target adjustment coefficient based on the relationship between the time difference ΔT and each preset difference, and determining the model target index, includes: When T1≤△T<T2, the first target index is adjusted by the fourth preset adjustment coefficient A4 to obtain the model target index; When T2≤△T<T3, the third preset adjustment coefficient A3 is selected to adjust the first target index to obtain the model target index; When T3≤△T<T4, the second preset adjustment coefficient A2 is selected to adjust the first target index to obtain the model target index; When T4≤△T, the first preset adjustment coefficient A4 is selected to adjust the first target index to obtain the model target index.

8. The method according to claim 7, characterized in that, The step of storing the oil and gas field model in the corresponding level of the model database using the model target index and the model characters includes: Obtain the first preset index P1, the second preset index P2, the third preset index P3 and the fourth preset index P4, where P1 < P2 < P3 < P4; Based on the relationship between the target index of the model and each preset index, the model database corresponding to the level of the oil and gas field model is determined.

9. The method according to claim 8, characterized in that, The model database, which determines the corresponding level of the oil and gas field model based on the relationship between the model target index and each preset index, includes: When the target index of the model is between P1 and P2, the oil and gas field model is stored in the third-level database. When the target index of the model is between P2 and P3, the oil and gas field model is stored in the second-level database. When the target index of the model is between P3 and P4, the oil and gas field model is stored in the first-level database.

10. A model database management device for oil and gas fields, characterized in that, include: The first processing module is used to establish model databases at different levels; The second processing module is used to acquire basic information of the oil and gas field model and determine the model characters and model index based on the basic information. The third processing module is used to temporarily store the model characters in the model database at a preset level; The fourth processing module is used to store the oil and gas field model in the model database of the corresponding level using the model index and the model character.

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