Method and device for constructing oil and gas well exploitation engineering knowledge base

Abstract

The application provides a kind of oil and gas well exploitation engineering knowledge base construction method and device, the method comprises: collecting the exploitation data of multiple oil and gas wells that have been put into production, forming oil and gas well exploitation database;From the oil and gas well exploitation database, structured geological reservoir data, engineering design data, engineering construction data and engineering business data of multiple oil and gas wells are extracted to generate oil and gas well exploitation database;With oil and gas well exploitation engineering knowledge list item as the benchmark, the data in the oil and gas well exploitation database is analyzed, and the oil and gas well exploitation engineering knowledge base is constructed;Oil and gas well exploitation engineering knowledge list item is used to represent the cognition of the relationship between various exploitation engineering measures in the formation process of oil and gas well. By establishing the oil and gas well exploitation engineering knowledge base, the oil and gas well exploitation engineering knowledge is uniformly managed, thereby reducing the workload of collecting and statistical basic data, compared with the prior art, only the constructed oil and gas well exploitation engineering knowledge base is used, thereby improving the work efficiency.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of oil and gas field development, and particularly relates to a method and device for constructing an oil and gas well exploitation engineering knowledge base. BACKGROUND

[0002] In the exploitation of oil and gas wells, because the underground reservoir conditions are not clear, in order to improve the yield and reduce the cost, the prior art usually needs to learn the exploitation engineering technology of oil and gas wells in the adjacent similar oil and gas reservoirs which have been put into production, through the processes of collecting well history data and related data required by the exploitation engineering of the oil and gas wells, manually checking, counting, analyzing, evaluating and discussing, to obtain a certain degree of understanding, to guide the design and preparation of the subsequent new oil and gas well exploitation engineering scheme, but this method has a large amount of work in collecting and counting the basic data, and the work load is large, and because the basic data is mainly in the form of paper data or document data, which is unstructured data, the work efficiency is low when manually screening and entering. SUMMARY

[0003] The embodiment of the present application provides a method for constructing an oil and gas well exploitation engineering knowledge base, which is used for unified management of the oil and gas well exploitation engineering knowledge, reduces the work load in the design of the oil and gas well exploitation scheme, and improves the work efficiency, and the method comprises the following steps:

[0004] Collecting the exploitation data of a plurality of oil and gas wells which have been put into production, including geological reservoir data, engineering design data, engineering construction data and engineering business data, to form an oil and gas well exploitation database;

[0005] Extracting the structured geological reservoir data, engineering design data, engineering construction data and engineering business data of the plurality of oil and gas wells from the oil and gas well exploitation database, to generate an oil and gas well exploitation database;

[0006] Analyzing the data in the oil and gas well exploitation database based on the oil and gas well exploitation engineering knowledge items, to obtain the oil and gas well exploitation engineering knowledge, and to construct an oil and gas well exploitation engineering knowledge base; the oil and gas well exploitation engineering knowledge items are used for representing the cognition of the relationship between various exploitation engineering measures in the formation process of the oil and gas well.

[0007] The embodiment of the present application also provides a device for constructing an oil and gas well exploitation engineering knowledge base, which is used for unified management of the oil and gas well exploitation engineering knowledge, reduces the work load in the design of the oil and gas well exploitation scheme, and improves the work efficiency, and the device comprises the following steps:

[0008] A data collection module is configured to collect the exploitation data of a plurality of oil and gas wells which have been put into production, including geological reservoir data, engineering design data, engineering construction data and engineering business data, to form an oil and gas well exploitation database;

[0009] A database construction module is configured to extract structured geological reservoir data, engineering design data, engineering construction data and engineering business data of the multiple oil and gas wells from the oil and gas well exploitation database, and generate the oil and gas well exploitation database.

[0010] A knowledge base construction module is configured to analyze data in the oil and gas well exploitation database based on the oil and gas well exploitation engineering knowledge items, obtain oil and gas well exploitation engineering knowledge, and construct the oil and gas well exploitation engineering knowledge base.

[0011] The embodiment of the present application also provides a computer device, which comprises a memory, a processor, and a computer program stored in the memory and capable of running on the processor, and the processor implements the oil and gas well exploitation engineering knowledge base construction method when running the computer program.

[0012] The embodiment of the present application also provides a computer readable storage medium, which stores a computer program for implementing the oil and gas well exploitation engineering knowledge base construction method.

[0013] In the embodiment of the present application, the exploitation data of multiple oil and gas wells in production are collected, including geological reservoir data, engineering design data, engineering construction data and engineering business data, to form an oil and gas well exploitation database; structured geological reservoir data, engineering design data, engineering construction data and engineering business data of the multiple oil and gas wells are extracted from the oil and gas well exploitation database, to generate the oil and gas well exploitation database; data in the oil and gas well exploitation database are analyzed based on the oil and gas well exploitation engineering knowledge items, to obtain oil and gas well exploitation engineering knowledge, and to construct the oil and gas well exploitation engineering knowledge base; and the oil and gas well exploitation engineering knowledge items are used to represent the cognition of the relationship between various exploitation engineering measures in the formation process of the oil and gas well. The oil and gas well exploitation engineering knowledge base is established to uniformly manage the oil and gas well exploitation engineering knowledge, thereby reducing the workload of collecting and counting basic data required in the design of the oil and gas well exploitation scheme, and improving the work efficiency compared with the prior method of manually screening and inputting paper data or document data. BRIEF DESCRIPTION OF DRAWINGS

[0014] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed in the embodiment description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative effort.

[0015] Figure 1A schematic diagram of the oil and gas well exploitation engineering knowledge base construction method in the embodiment of the present application.

[0016] Figure 2 A schematic diagram of the implementation process of step 102 in the embodiment of the present application.

[0017] Figure 3 A schematic diagram of the implementation process of step 103 in the embodiment of the present application.

[0018] Figure 4 A schematic diagram of the oil and gas well exploitation engineering knowledge base construction method in the embodiment of the present application.

[0019] Figure 5 A schematic diagram of the implementation process of step 401 in the embodiment of the present application.

[0020] Figure 6 A schematic diagram of the oil and gas well exploitation engineering knowledge base construction method in the embodiment of the present application.

[0021] Figure 7 A schematic diagram of the implementation process of step 601 in the embodiment of the present application.

[0022] Figure 8 A schematic diagram of the oil and gas well exploitation engineering knowledge base construction device in the embodiment of the present application.

[0023] Figure 9 A schematic diagram of the oil and gas well exploitation engineering knowledge base construction device in the embodiment of the present application.

[0024] Figure 10 A schematic diagram of the oil and gas well exploitation engineering knowledge base construction device in the embodiment of the present application. DETAILED DESCRIPTION

[0025] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the scope of protection of the present application.

[0026] The embodiment of the present application provides an oil and gas well exploitation engineering knowledge base construction method, which is used for unified management of oil and gas well exploitation engineering knowledge, reduces the workload of oil and gas well exploitation scheme design, and improves work efficiency, as shown in the following. Figure 1 The method comprises the following steps.

[0027] Step 101: Collect production data from multiple oil and gas wells that have been put into production, including: geological reservoir data, engineering design data, engineering construction data and engineering commercial data, to form an oil and gas well production data database;

[0028] Step 102: Extract structured geological reservoir data, engineering design data, engineering construction data, and engineering business data from multiple oil and gas wells from the oil and gas well production database to generate an oil and gas well production database;

[0029] Step 103: Based on the knowledge items of oil and gas well development engineering, analyze the data in the oil and gas well development database to obtain the knowledge of oil and gas well development engineering and construct the knowledge base of oil and gas well development engineering; among them, the knowledge items of oil and gas well development engineering are used to characterize the understanding of the relationship between various development engineering measures in the process of oil and gas well formation.

[0030] Depend on Figure 1 As shown in the process, in this embodiment of the invention, production data from multiple oil and gas wells already in production is collected, including geological reservoir data, engineering design data, engineering construction data, and engineering business data, to form an oil and gas well production data database. Structured geological reservoir data, engineering design data, engineering construction data, and engineering business data from multiple oil and gas wells are extracted from the oil and gas well production data database to generate an oil and gas well production database. Based on the oil and gas well production engineering knowledge items, the data in the oil and gas well production database is analyzed to obtain oil and gas well production engineering knowledge, thus constructing an oil and gas well production engineering knowledge base. The oil and gas well production engineering knowledge items are used to characterize the understanding of the relationships between various production engineering measures during the formation of oil and gas wells. By establishing an oil and gas well production engineering knowledge base, the knowledge is managed uniformly, thereby reducing the workload required for collecting and statistically analyzing basic data during oil and gas well production scheme design. Compared to existing methods that require manual screening and input of unstructured data such as paper documents or files, searching is only required within the constructed oil and gas well production engineering knowledge base, thus improving work efficiency.

[0031] In practice, the first step is to collect production data from multiple oil and gas wells already in production, including geological reservoir data, engineering design data, engineering construction data, and engineering commercial data, forming an oil and gas well production data database. In a specific embodiment, the oil and gas well production project includes two parts: drilling engineering and oil and gas production engineering, and the data used in these two parts are different.

[0032] Among them, for the drilling engineering stage, that is, when the exploitation data is drilling data, the drilling data of multiple oil and gas wells that have been put into production are collected, including: geological reservoir data before the formation of oil and gas wells, drilling engineering design data, drilling engineering construction data and drilling engineering business data, forming an oil and gas well drilling data library. Specifically, the geological reservoir data before the formation of oil and gas wells includes related data such as reservoir type, structural characteristics, reservoir characteristics, fluid properties, and capacity construction indicators; drilling engineering design data includes: geological design, drilling design, drilling fluid design, cementing design, special process design, oil testing design and other data; drilling engineering construction data includes: drilling operation report, drilling well history, drilling fluid report, cementing report, special process operation report, completion report and other data; drilling engineering business data includes: drilling cost budget report, drilling service contract, drilling actual cost report and other data.

[0033] Among them, for the oil and gas production engineering stage, that is, when the exploitation data is oil and gas production data, the oil and gas production data of multiple oil and gas wells that have been put into production are collected, including: geological reservoir data before the formation of oil and gas wells, oil and gas production engineering design data, oil and gas production engineering construction data and oil and gas production engineering business data, forming an oil and gas well oil and gas production data library. Specifically, the geological reservoir data includes data such as reservoir type, structural characteristics, reservoir characteristics, fluid properties, and capacity construction indicators; oil and gas production engineering design data includes: oil layer casing specification and completion method, IPR curve (inflow performance relationship curve), lifting technology and parameters, reservoir reconstruction technology, and oil testing design data; oil and gas production engineering construction data includes: wellhead operation report, wellbore exploration sand face operation report, well flushing and sleeve checking operation report, perforating operation report, downhole completion string operation report, downhole string tool report, oil testing production report, lifting technology operation report, fluid metering detection report and other data; oil and gas production engineering business data includes: surface wellhead equipment cost budget report, wellbore operation cost budget report, perforating cost budget report, downhole string cost budget report, and stimulation cost budget and other data.

[0034] The above various data are in the form of electronic materials stored in a database system or a conventional electronic folder; the file types can be pictures, databases, Adobe documents, office documents, etc.; the database can be accessed, opened, viewed or manually read by accessing the storage medium, and unified management, calling and utilization are realized. Among them, the oil and gas well exploitation database classifies and manages different forms of data (pictures, databases, Adobe documents, office documents, etc.).

[0035] The integrity of the oil and gas well exploitation database determines the data integrity of the oil and gas well exploitation database constructed subsequently, and determines the practicability of the oil and gas well exploitation engineering knowledge base generated subsequently.

[0036] After the oil and gas well exploitation database is formed, structured geological reservoir data, engineering design data, engineering construction data and engineering business data of a plurality of oil and gas wells are extracted from the oil and gas well exploitation database to generate an oil and gas well exploitation database. The specific implementation process is shown in the following table: Figure 2

[0037] Step 201: Searching in the oil and gas well exploitation database to obtain the geological reservoir data, engineering design data and engineering business data of each oil and gas well before formation, and storing them in the oil and gas well exploitation database;

[0038] Step 202: According to the oil and gas well exploitation database, it is determined whether there is real-time collection of engineering construction data during the formation of each oil and gas well. If there is, the real-time collection of engineering construction data is stored in the oil and gas well exploitation database;

[0039] Step 203: If not, absolute search, fuzzy search or character recognition are used to find the engineering construction data of each oil and gas well in the oil and gas well exploitation database and store them in the oil and gas well exploitation database.

[0040] In the specific implementation of step 202, after the real-time collection of engineering construction data is found, data conversion is performed before being stored in the oil and gas well exploitation database, wherein the data conversion includes the name of the data item, the format of the data, and the conversion of the unit of measurement. If the real-time collection of engineering construction data is incomplete, absolute search, fuzzy search or character recognition are used to find the missing engineering construction data in the oil and gas well exploitation database and store them in the oil and gas well exploitation database.

[0041] The specific implementation process of step 203 includes:

[0042] Step S1: In the Excel format file in the office document class in the oil and gas well exploitation database, the data is entered by searching for the corresponding data item form. The search method includes absolute search and fuzzy search.

[0043] Step S2: If the data entered in step S1 is still incomplete and cannot meet the data requirements of the established oil and gas well exploitation database, the data in the corresponding data item is found in the Word format file in the office document class in the oil and gas well exploitation database to realize the data entry. The search method includes absolute search, fuzzy search and intelligent recognition.

[0044] ​Step S3: The data after step S2 is still incomplete and cannot meet the data requirements of the established oil and gas well exploitation database. Then, the corresponding data items are searched in the Adobe document and picture data in the oil and gas well exploitation database to realize data input or reading. The searching methods include fuzzy searching and intelligent recognition.

[0045] Step S4: For some data that is difficult to read by calculation, the relevant data in the oil and gas well exploitation database is searched manually and then manually input.

[0046] The absolute searching above refers to searching for a data item name in a target file that is completely consistent with the established name in the oil and gas well exploitation database. The same name can be used to directly search for the specified data and imported into the oil and gas well exploitation database.

[0047] The fuzzy searching above refers to searching for a data item name in a target file that is not completely consistent with the established name in the oil and gas well exploitation database. Although it is the same data item, it may have different names in different files or may have input errors in different documents. The following methods are used to realize data searching and importing: several alternative names of the established name in the oil and gas well exploitation database are set. The text in the searched data and the established name are compared. If they are the same, they are considered to be consistent, and then data importing operation is performed. If they are not consistent, the similarity of the text is determined, and the data value of the data item is compared within an appropriate range. If both meet the requirements, it is considered to be the data of the established target item, and then data importing operation is performed.

[0048] The intelligent recognition above refers to locking the specific content in the document before fuzzy searching and recognizing the data. If it is a picture, the text recognition is performed first, and then the text content recognition is performed. If it is text, the text content recognition is performed. After determining that it belongs to a part of the oil and gas well exploitation database, the fuzzy searching and recognition are performed, and the data is imported into the oil and gas well exploitation database. The text content recognition refers to setting a keyword for a specific data in the oil and gas well exploitation database. After comparing the similarity of the target text and the keyword, the relationship between the text content and the established data in the oil and gas well exploitation database is locked.

[0049] In the specific embodiment of the oil and gas well drilling engineering knowledge base construction, the structured geological reservoir data, engineering design data, engineering construction data and engineering business data of a plurality of oil and gas wells are extracted from the oil and gas well exploitation database to generate an oil and gas well exploitation database, specifically including: the structured geological reservoir data, drilling engineering design data, drilling engineering construction data and drilling engineering business data of a plurality of oil and gas wells are extracted from the oil and gas well drilling database to generate an oil and gas well drilling database. Specifically, the above various data forms are structured electronic data, which usually exist in a database system. The drilling engineering design data includes geological design data, drilling design data, drilling fluid design data, cementing design data, special process design data, and oil testing design data; the drilling engineering construction process data includes drilling operation report data, drilling well history data, drilling fluid data, cementing data, special process operation data, and completion data; the drilling engineering business data includes drilling cost budget data, drilling service data, and drilling actual cost data.

[0050] The above-mentioned geological design data, drilling design data, drilling fluid design data, cementing design data, special process design data, oil testing design data, drilling operation report data, drilling well history data, drilling fluid data, cementing data, special process operation data, completion data, drilling cost budget data, drilling service data, and drilling actual cost data are mainly in the form of data items, which record the values of the data in detail and can be read and used in the calculation or analysis of computer programs.

[0051] In the specific embodiment of the oil and gas well drilling engineering knowledge base construction, the structured geological reservoir data, engineering design data, engineering construction data and engineering business data of a plurality of oil and gas wells are extracted from the oil and gas well exploitation database to generate an oil and gas well exploitation database, specifically including: the structured geological reservoir data, drilling engineering design data, drilling engineering construction data and drilling engineering business data of a plurality of oil and gas wells are extracted from the oil and gas well drilling database to generate an oil and gas well drilling database. Specifically, the above various data forms are structured electronic data, which usually exist in a database system. The drilling engineering design data includes geological design data, drilling design data, drilling fluid design data, cementing design data, special process design data, and oil testing design data; the drilling engineering construction process data includes drilling operation report data, drilling well history data, drilling fluid data, cementing data, special process operation data, and completion data; the drilling engineering business data includes drilling cost budget data, drilling service data, and drilling actual cost data.

[0052] The applicant also found that, under current technological conditions, if scientific and technological workers want to understand and master the technical experience of oil and gas well extraction from complex paper materials, electronic documents, and databases, they still need to rely on manual statistical analysis of the data in these materials or databases. However, this understanding has limitations and is highly dependent on each individual's profession, experience, and work experience, making it a matter of individual interpretation. Furthermore, this understanding is not easily generalized because, due to its significant differences, different people can obtain different results from different perspectives, making widespread application impractical.

[0053] To further unify this understanding and adapt to large-scale promotion, after generating an oil and gas well development database, the data in the database is analyzed based on the oil and gas well development engineering knowledge items to obtain oil and gas well development engineering knowledge, thus constructing an oil and gas well development engineering knowledge base. The oil and gas well development engineering knowledge items characterize the understanding of the relationships between various development engineering measures during the oil and gas well formation process, and are divided into two main parts: structured knowledge and unstructured knowledge. The specific implementation process is as follows... Figure 3 As shown, it includes:

[0054] Step 301: Based on the knowledge items of oil and gas well development engineering, find the data items in the oil and gas well development database that have the first corresponding relationship with the knowledge items of oil and gas well development engineering, record the data value of the data item and the mapping relationship between the two, and obtain the structured knowledge of oil and gas well development engineering.

[0055] Step 302: Based on the list of knowledge items for oil and gas well development, search for data items in the oil and gas well development database that have a second correspondence with the list of knowledge items for oil and gas well development, record the data value or text of the data item, and obtain unstructured knowledge of oil and gas well development.

[0056] Step 303: Combine structured and unstructured oil and gas well development engineering knowledge to construct an oil and gas well development engineering knowledge base.

[0057] The first correspondence refers to a significant correspondence, meaning that the changes in the two are linearly or non-linearly correlated, and the statistical correlation coefficient is usually greater than 0.5 or less than -0.5. The second correspondence refers to a non-significant correspondence, meaning that the changes in the two are not significantly linearly or non-linearly correlated, and the statistical correlation coefficient is usually between -0.5 and 0.5 (inclusive).

[0058] Specifically, each knowledge item includes:

[0059] The parameters include self-variation parameters, differences between similar items, correlation and impact parameters on other knowledge items, advancement parameters, engineering effectiveness parameters, and cost factor parameters.

[0060] The self-change parameter is the change of the knowledge column item and the corresponding knowledge column item before the wellbore is formed and the actual content after the wellbore is formed, and the key reason for the change;

[0061] The same column item difference parameter is the difference of the knowledge column item and the key reason for the difference; the correlation influence parameter is whether the corresponding knowledge column item will cause the change of the other knowledge column item associated therewith; the advancement parameter is whether the data of the knowledge column item is advanced and which level is reached; the engineering effectiveness parameter is what the actual effect is in the well exploitation process; and the cost factor parameter is the cost and expense of the technology or technology sequence recorded by the knowledge column item, the reason for the change and the possible adjustment method compared with the same technical conditions.

[0062] The specific oil and gas well drilling engineering knowledge column items include the geological reservoir knowledge, the drilling geology knowledge, the formation pressure knowledge, the wellbore structure knowledge, the drilling fluid knowledge, the drilling tool assembly knowledge, the directional drilling knowledge, the cementing knowledge, the drill bit knowledge, the wellbore quality knowledge, the well completion knowledge, the casing string knowledge, the drilling time efficiency knowledge, the drilling fault and drilling complex knowledge, and the drilling cost knowledge.

[0063] In the oil and gas well drilling engineering knowledge base, the knowledge content contained in the above multiple knowledge column items, for the significant corresponding relationship, such as the fault in the reservoir causing the actual reservoir burial depth to be greatly different from the design, the reservoir pressure change causing more drilling complexities, and the unreasonable wellbore structure design, the corresponding structured data item is set in the drilling knowledge base to record the value of the data item, and the corresponding mapping relationship is set in the drilling knowledge base system, and different values or value ranges correspond to different results. The oil and gas wellbore drilling knowledge base computer program automatically maps the corresponding results according to the mapping relationship and the different values of the data item, and quickly forms the cognition of the data item, that is, the oil and gas well drilling engineering knowledge.

[0064] In the oil and gas well drilling engineering knowledge base, the knowledge content contained in the above multiple knowledge column items, for the non-significant corresponding relationship, such as the deviation of the actual data of the reservoir geology caused by the occasional event (such as earthquake) in the reservoir geology, because the corresponding relationship cannot be expanded or popularized or applied with limitations, the unstructured data item is selected to record the corresponding relationship result as a static value for calculation and query.

[0065] As an example of the oil reservoir knowledge item, it includes: a. the change of the predicted depth and the actual depth of the oil reservoir and the reasons therefor, through the understanding of the change, the complexity of the underground fault and the accuracy of the seismic data can be reflected, and the reliability parameter knowledge of the oil reservoir depth data provided for the later well drilling is provided; b. how the actual pressure coefficient of the oil reservoir changes compared with the design prediction result, whether the overflow and leakage complexity occurs, whether the pressure difference sticking phenomenon occurs, and the change and possible reasons of the similar area well in the adjacent area are recorded, through the knowledge item, the reliable oil reservoir pressure condition for the later drilling operation can be provided, the rationality of the wellbore structure can be evaluated, and the conditions for the wellbore structure optimization are provided, and the reliable data knowledge for the safe drilling of the reservoir section is also provided; c. the type and yield characteristics of the oil reservoir, the change and possible situation compared with the design or prediction data, through the data, the basis for the later completion and oil production process is provided.

[0066] In the specific embodiment of the construction of the oil and gas well drilling engineering knowledge base, the oil and gas well drilling engineering knowledge items are taken as the basis, the data in the oil and gas well drilling database is analyzed, the oil and gas well drilling engineering knowledge is obtained, and the oil and gas well drilling engineering knowledge base is constructed, including: taking the oil and gas well drilling engineering knowledge items as the basis, analyzing the data in the oil and gas well drilling database, obtaining the oil and gas well drilling engineering knowledge, and constructing the oil and gas well drilling engineering knowledge base; wherein the oil and gas well drilling engineering knowledge items are used to represent the cognition of the relationship between various drilling engineering measures in the formation process of the oil and gas well.

[0067] In the specific embodiment of the construction of the oil and gas well drilling engineering knowledge base, the oil and gas well drilling engineering knowledge items are taken as the basis, the data in the oil and gas well drilling database is analyzed, the oil and gas well drilling engineering knowledge is obtained, and the oil and gas well drilling engineering knowledge base is constructed, including: taking the oil and gas well drilling engineering knowledge items as the basis, analyzing the data in the oil and gas well drilling database, obtaining the oil and gas well drilling engineering knowledge, and constructing the oil and gas well drilling engineering knowledge base; wherein the oil and gas well drilling engineering knowledge items are used to represent the cognition of the relationship between various drilling engineering measures in the formation process of the oil and gas well.

[0068] Specific oil and gas well oil and gas production engineering knowledge items include: geological reservoir knowledge, reservoir physical property knowledge, reservoir fluid physical property knowledge, formation pressure knowledge, formation temperature system knowledge, well completion method and wellbore structure knowledge, inflow performance curve knowledge, lifting technology and downhole string structure knowledge, deviated well and directional well rod and pipe centralization and anti-friction knowledge, reservoir damage evaluation knowledge, reservoir reconstruction method and scale knowledge, wellbore operation cost knowledge, and wellbore production operation cost knowledge.

[0069] In the oil and gas well production engineering knowledge base, the knowledge content contained in the above knowledge items, for the significant corresponding relationship, such as the existence of edge and bottom water in the oil and gas reservoir will lead to early water breakthrough of oil and gas well, short water-free oil production period, and large difference with the design of water content construction index; the large change of reservoir pressure will lead to the complexity of downhole operation or unreasonable design of kill fluid; the corresponding structured data item is set in the oil and gas well production engineering knowledge base, the value of the data item is recorded, and the corresponding mapping relationship is set in the oil and gas production knowledge base system, and different values or value ranges correspond to different results. The oil and gas wellbore production engineering knowledge base computer program will automatically map the corresponding results according to the mapping relationship and the different values of the data item, and quickly form the cognition of the data item, that is, the oil and gas wellbore production engineering knowledge.

[0070] In the oil and gas well production engineering knowledge base, the knowledge content contained in the above knowledge items, for the non-significant corresponding relationship, such as the deviation of actual data of the reservoir geology caused by occasional events (such as interpretation) in the reservoir geology, because the corresponding relationship cannot be expanded or generalized or applied with limitations, for this, a non-structured data item is selected, the corresponding relationship result is recorded as a static value for calculation and query.

[0071] Similarly, taking the reservoir knowledge as an example, including: a. the thickness of the oil reservoir and the thickness of the barrier layer and the actual thickness change and its reason, by understanding the change, the complexity of the reservoir deposition and the accuracy of the barrier data can be reflected, which provides the reservoir reliability parameter knowledge for the later layered production, layered reconstruction, layered understanding; b. how does the actual pressure coefficient of the reservoir change compared with the design prediction result, whether there is complexity of kill fluid leakage or overflow, and the change and possible reasons of the similar area well in the adjacent area are recorded, through the knowledge item, the reliable reservoir pressure condition can be provided for the later oil and gas production operation, the rationality of the wellbore structure can be evaluated, and the conditions for wellbore structure optimization can be provided, and the reliable data knowledge for the casing full production cycle of the reservoir section can also be provided; c. the type and yield characteristics of the reservoir, compared with the design or prediction data change and possible situation, through the data, the basis can be provided for the later completion and oil and gas production process.

[0072] After the oil and gas well production engineering knowledge base is constructed, in order to ensure the accuracy of the knowledge and improve the practicability in subsequent application, the oil and gas well production engineering knowledge base construction method provided in a specific embodiment, as shown in Figure 4 , based on Figure 1 , further includes:

[0073] Step 401: verifying the data integrity and uniqueness of each item of knowledge in the oil and gas well production engineering knowledge base.

[0074] The specific implementation process of step 401, as shown in Figure 5 , includes:

[0075] Step 501: searching for data of the knowledge item of data source difference in the oil and gas well exploitation engineering knowledge base;

[0076] Step 502: verifying according to the conventional range corresponding to the data of the knowledge item of data source difference, and removing the error data;

[0077] Step 503: after removing the error data, removing the data whose difference degree exceeds the preset value according to the difference degree between the data provided by the multiple data sources.

[0078] Specifically, after the oil and gas well exploitation engineering knowledge base is constructed, since the data obtained from different types of materials, there may be several different data sources for the same data, and the values of several data sources are also slightly different. However, generally speaking, the values of different source data are unique, but due to management factors, there may be differences, so it is necessary to verify the completeness and uniqueness of the data. That is, the data with data source difference is verified in the following ways: ① value conventional range verification, excluding error data caused by negligence, that is, each data item has a normal range, if it exceeds the range, it means that the data is wrong and should be removed; ② value difference degree verification, that is, analyzing the data of several data sources, removing the data with large difference, and retaining the data with approximate equality; ③ value reasonable range verification, for some data items, if the values of the associated data items are determined, the relationship between them can be further determined, and then the source data outside the range can be removed; ④ manual verification, that is, presenting all the source data, and verifying by manual identification.

[0079] After obtaining the oil and gas well exploitation engineering knowledge base, it can also be used for subsequent exploitation of new wells. In another specific embodiment, as shown in Figure 6 , on the basis of Figure 1 , it further includes:

[0080] Step 601: determining the exploitation engineering design parameters corresponding to the target oil and gas well by using the oil and gas well exploitation engineering knowledge base.

[0081] In the implementation of step 601, as shown in Figure 7 , it includes:

[0082] Step 701: obtaining the geological reservoir data of the target oil and gas well;

[0083] Step 702: searching in the oil and gas well exploitation engineering knowledge base according to the geological reservoir data of the target oil and gas well, and obtaining the oil and gas well exploitation engineering knowledge of at least one oil and gas well with similarity exceeding a preset value to the target oil and gas well;

[0084] Step 703: learning the oil and gas well production engineering knowledge of at least one oil and gas well, forming the oil and gas well production engineering knowledge, and obtaining the production engineering design parameters corresponding to the target oil and gas well.

[0085] Specifically, a target well is selected, the oil and gas well production engineering knowledge is read from the oil and gas well production engineering knowledge base, the data source of the production engineering knowledge is traced, the production engineering knowledge of multiple oil and gas wells is repeatedly selected, and the production engineering knowledge of the multiple oil and gas wells is used to guide the production scheme design and scheme compilation of the target well to be developed.

[0086] Two specific examples are given below to illustrate how the oil and gas well production engineering knowledge base is constructed and applied in the embodiments of the present application. One example is the construction and application of the oil and gas well drilling engineering knowledge base.

[0087] The construction method of the oil and gas well drilling engineering knowledge base includes:

[0088] Firstly, an oil and gas well drilling database is established to realize the unified management of drilling basic data.

[0089] The drilling data of the wellbore is mainly collected and managed in the oil and gas well drilling database.

[0090] Secondly, the data in the oil and gas well drilling database is entered / imported into the oil and gas well drilling database.

[0091] Case 1: If there is real-time data collection operation (such as a remote data real-time collection and transmission system) during the formation of the wellbore, the real-time collected data in the oil and gas well drilling database is preferentially selected, the corresponding interface is established, the real-time collected engineering data is directly read, and the data is converted and entered into the oil and gas well drilling database; wherein the conversion includes the conversion of the name of the data item, the format of the data, and the unit of measurement.

[0092] Case 2: If there is no real-time data collection operation during the formation of the wellbore, or the real-time data collection operation data is incomplete, the database type data in the oil and gas well drilling database is selected, the interface is established to read the data in the database type data, and the data is directly entered into the oil and gas well drilling database.

[0093] Case 3: If neither case 1 nor case 2 occurs, or the data in case 1 and case 2 is still incomplete and cannot meet the data requirements of the oil and gas well drilling database, the data is searched from the Excel format file in the office document in the oil and gas well drilling database, the data is searched in the form of the corresponding data item, and the data is entered. The searching method includes absolute searching and fuzzy searching.

[0094] Case 4: If Case 1, Case 2, Case 3 do not exist or the data in Case 1, Case 2 and Case 3 are still incomplete and cannot meet the data requirements of the established oil and gas well drilling database, the data in the corresponding data items are found from the Word format files in the office documents in the oil and gas well drilling database, and the data is entered. The search method includes absolute search, fuzzy search and intelligent recognition.

[0095] Case 5: If Case 1, Case 2, Case 3, Case 4 do not exist or the data in Case 1, Case 2, Case 3 and Case 4 are still incomplete and cannot meet the data requirements of the established oil and gas well drilling database, the corresponding data items are found from the Adobe company document and picture data in the oil and gas well drilling database, and the data is entered or read. The search method includes fuzzy search and intelligent recognition.

[0096] Case 6: For some data that is difficult to read by calculation, manual search for related data in the oil and gas well drilling database is required.

[0097] The above absolute search is to find the name of the data item in the target file which is completely consistent with the established name in the oil and gas well drilling database, and the same name can be used to directly find the specified data and import it into the oil and gas well drilling database.

[0098] Fuzzy search refers to finding the name of the data item in the target file which is not completely consistent with the established name in the oil and gas well drilling database. Although it is the same kind of data item, it may have different names in different files, or there may be data entry errors in different documents. The following methods are used to realize data search and import: Set several aliases of the established name in the oil and gas well drilling database, compare the text in the searched data with the established name, and if they are the same, they are considered to be consistent, and then the data import operation is performed; If not consistent, the similarity of the text is determined, and the data value of the data item is compared within the appropriate range. If both meet the requirements, it is considered to be the data of the established target item, and then the data import operation is performed.

[0099] Intelligent recognition refers to locking the specific content in the document before fuzzy search and recognition of the data. If it is a picture, the text recognition is performed first, and then the text content recognition is performed. If it is a text, the text content recognition is performed. After determining that it belongs to a part of the oil and gas well drilling database, the fuzzy search and recognition are performed, and the data is imported into the oil and gas well drilling database. The text content recognition is to set keywords for some specific data in the oil and gas well drilling database, and then compare the similarity of the target text and the keywords to lock the relationship between the text content and the established data in the oil and gas well drilling database.

[0100] Third step, based on oil and gas well drilling database data analysis of oil and gas well drilling engineering knowledge base:

[0101] Comprehensive analysis of the causal relationship between the oil and gas well drilling engineering knowledge column and the oil and gas well drilling database data column, based on the knowledge column, on the one hand, find the data project from the oil and gas well drilling database which has a significant corresponding relationship with the knowledge column, record its value size, and record the mapping relationship between them; On the other hand, the oil and gas well drilling database finds the data project which has a non-significant corresponding relationship with the knowledge column, records its numerical value or text storage. Among them, the structured mapping relationship can be repeated and applied in different wellbores.

[0102] Fourth step, check the data integrity and uniqueness of the oil and gas well drilling engineering knowledge base:

[0103] The data with data source difference is checked as follows: ① Value range check, to exclude errors caused by negligence, that is, each data item has a normal range, if it exceeds the range, it means that the data is wrong and should be excluded; ② Value difference degree check, that is, the data of several data sources is analyzed, and the data with large difference is excluded, and the data with approximate equality is retained; ③ Value reasonable range check, for some data items, if the value of the associated data item is determined, the relationship between the data items can be further determined, and the value range can be further determined, and the source data outside the range can be excluded; ④ Manual check, that is, all source data is presented, and manual identification is used for checking.

[0104] The use method of the oil and gas well drilling engineering knowledge base includes:

[0105] Select the target well, enter the oil and gas well drilling engineering knowledge base, and read the wellbore drilling knowledge: including the geological reservoir knowledge, drilling geological knowledge, formation pressure knowledge, wellbore structure knowledge, drilling fluid knowledge, drilling tool combination knowledge, directional drilling knowledge, cementing knowledge, drill bit knowledge, wellbore quality knowledge, completion knowledge, casing string knowledge, drilling time efficiency knowledge, drilling fault and drilling complex knowledge, and drilling cost knowledge required for completing a well drilling engineering design.

[0106] Data traceability of wellbore drilling knowledge: mainly allows manpower to verify part of the knowledge column, through consulting the reference data and reference materials of the knowledge column, to clarify the rationality and accuracy of the knowledge, and to avoid knowledge deviation caused by data entry errors, data operation irregularities, etc.

[0107] Repeating the selection of wellbore drilling knowledge of multiple wells: including selecting the completed wells with similar drilling depth and geological characteristics as the target well, reading the drilling engineering knowledge items, if the knowledge items have good consistency, the drilling engineering knowledge of the well can be retained, and the drilling engineering knowledge of the next well is continuously selected. If the consistency of the knowledge items is poor, the well is reselected, the consistency of the drilling engineering knowledge of the newly selected well and the target well is compared again, and until N wells with good consistency of wellbore drilling knowledge are found. N is generally 3-5, and in some cases with higher requirements, N can be more than 10. The wellbore drilling knowledge of multiple wells is selected, and the wells in the same well area and the same geological structure close to the target well are preferred.

[0108] Based on the wellbore drilling knowledge of multiple wells, the drilling plan design and plan compilation of the well to be drilled are guided: the drilling engineering knowledge of multiple wells with good consistency is collected to form the geological reservoir knowledge, drilling geological knowledge, formation pressure knowledge, well profile structure knowledge, drilling fluid knowledge, drilling tool combination knowledge, directional drilling knowledge, cementing knowledge, drill bit knowledge, well profile quality knowledge, completion knowledge, casing string knowledge, drilling time efficiency knowledge, drilling failure and drilling complex knowledge, and drilling cost knowledge of the completed well, thereby forming the geological reservoir knowledge, drilling geological knowledge, formation pressure knowledge, well profile structure knowledge, drilling fluid knowledge, drilling tool combination knowledge, directional drilling knowledge, cementing knowledge, drill bit knowledge, well profile quality knowledge, completion knowledge, casing string knowledge, drilling time efficiency knowledge, drilling failure and drilling complex knowledge, and drilling cost knowledge. According to the above knowledge, the drilling plan design and plan compilation are completed.

[0109] The oil and gas well drilling engineering knowledge base provided by the present example expands the existing way of storing oil and gas wellbore drilling technical experience in the form of data and data, changes the previous drilling technical experience scattered in paper materials and document materials in the form of data, and needs to rely on manual collection, statistics and analysis. The drilling technical experience exists in the computer information system in the form of knowledge. The drilling technical personnel can quickly apply the oil and gas well drilling engineering knowledge to guide the drilling operation of the new well. The problem of relying on manual statistics and analysis of the data in the oil and gas well drilling data and importing the oil and gas well drilling database is solved, and six data and data import methods are realized. At the same time, the problem of relying on the drilling technical personnel to extract, optimize, statistically analyze the data from the oil and gas wellbore database to form knowledge is solved, the transformation from the oil and gas wellbore database to the oil and gas wellbore knowledge base is realized, and the rapid transplantation and application of the wellbore drilling knowledge are realized. The unified management of the oil and gas well drilling data, the oil and gas well drilling data, and the oil and gas well drilling engineering knowledge is realized, the oil and gas well drilling data is automatically searched from the oil and gas well drilling data, and the oil and gas well drilling engineering knowledge is formed based on the complete oil and gas well drilling data.

[0110] Another specific example is the construction and application of an oil and gas well production engineering knowledge base.

[0111] The construction method of the oil and gas well production engineering knowledge base comprises:

[0112] The first step is to establish an oil and gas well production database to realize unified management of basic production data:

[0113] The main collection is oil and gas wellbore production data, which is entered into the oil and gas well production database, and different forms of data (picture, database, Adobe document, office document, etc.) are classified and managed.

[0114] The second step is to enter / import the data in the oil and gas well production database into the oil and gas well production database:

[0115] Case 1: If there is real-time data collection operation (such as remote data real-time collection and transmission system) during the formation of the wellbore, the real-time collected data in the oil and gas well production database is preferentially selected, the corresponding interface is established, the real-time collected engineering data is directly read, and the data is converted into the oil and gas well production database; wherein, the conversion includes the name of the data item, the format of the data, and the conversion of the unit of measurement.

[0116] Case 2: If there is no real-time data collection operation during the formation of the wellbore, or the real-time data collection operation data is incomplete, then the database type data in the oil and gas well production database is selected, the interface is established to read the data in the database type data, and the data is directly entered into the oil and gas well production database.

[0117] Case 3: If case 1 or case 2 does not occur or the data in case 1 and case 2 is still incomplete and cannot meet the data requirements of the established oil and gas well production database, then the data is searched from the Excel format file in the office document in the oil and gas well production database, the data is searched in the form of the corresponding data item, and the data is entered. The search method includes absolute search and fuzzy search.

[0118] Case 4: If case 1, case 2, and case 3 do not exist or the data in case 1, case 2, and case 3 is still incomplete and cannot meet the data requirements of the established oil and gas well production database, then the data in the corresponding data item is searched from the Word format file in the office document in the oil and gas well production database, and the data is entered. The search method includes absolute search, fuzzy search, and intelligent recognition.

[0119] Case 5: If case 1, case 2, case 3, case 4 does not exist or the data in case 1, case 2, case 3 and case 4 is still incomplete and cannot meet the data requirements of the established oil and gas well production database, the corresponding data items are searched from the Adobe document and picture data in the oil and gas well production database to realize the input or reading of data. The searching method includes fuzzy searching and intelligent recognition.

[0120] Case 6: For some data that is difficult to read by calculation, manual input is required after searching for related data in the oil and gas well production database.

[0121] The above absolute searching, specifically searching for data items in the target file whose name is completely consistent with the established name in the oil and gas well production database, can directly search for the designated data using the same name and import it into the oil and gas well production database.

[0122] Fuzzy searching refers to searching for data items in the target file whose name is not completely consistent with the established name in the oil and gas well production database. Although it is the same data item, it may have different names in different files or there may be input errors in different documents. The following methods are used to realize data searching and importing: Set several alternative names for the established name in the oil and gas well production database. Compare the text in the searched data with the established name. If they are the same, they are considered to be consistent, and then data importing operation is performed. If they are not consistent, the similarity of the text is determined, and the data value of the data item is compared within the appropriate range. If both meet the requirements, it is considered to be the data of the established target item, and then data importing operation is performed.

[0123] Intelligent recognition refers to locking the specific content in the document before fuzzy searching and identifying data. If it is a picture, text recognition is performed first, and then text content recognition is performed. If it is text, text content recognition is performed. After determining that it belongs to a part of the oil and gas well production database, fuzzy searching and identification are used to import data into the oil and gas well production database. Text content recognition sets keywords for some specific data in the oil and gas well production database. After comparing the similarity of the target text and the keywords, the relationship between the text content and the established data in the oil and gas well production database is locked.

[0124] Step 3, based on the oil and gas well production database data analysis, the oil and gas well production engineering knowledge base is obtained:

[0125] Comprehensive analysis of the causal relationship between the oil and gas well production engineering knowledge column and the oil and gas well production database data column, based on the knowledge column, on the one hand, find the data project from the oil and gas well production database which has a significant corresponding relationship with the knowledge column, record the size of its value, and record the mapping relationship between them; on the other hand, the oil and gas well production database finds the data project which has a non-significant corresponding relationship with the knowledge column, records its numerical value or text saving. Among them, the structured mapping relationship can be repeated and applied in different wellbores.

[0126] The fourth step is to check and judge the data integrity and uniqueness of the oil and gas well production engineering knowledge base:

[0127] The data with data source difference is checked in the following way: ① Value range check, to exclude errors caused by negligence, that is, each data item has a normal range, if it exceeds the range, it means that the data is wrong and should be excluded; ② Value difference degree check, that is, the data of several data sources is analyzed, and the data with large difference is excluded, and the data with approximate equality is retained; ③ Value range check, for some data items, if the values of the associated data items are determined, the relationship between them can be further determined, and the values within the range can be further determined, and the source data outside the range can be excluded; ④ Manual check, that is, all source data is presented, and manual identification is used for checking.

[0128] The use method of the oil and gas well production engineering knowledge base includes:

[0129] Select the target well, enter the oil and gas well production engineering knowledge base, and read the wellbore oil and gas production knowledge: including the geological reservoir knowledge, reservoir physical property and fluid physical property knowledge, formation pressure and temperature system knowledge, well completion method and wellbore structure knowledge, IPR curve knowledge, lifting technology and downhole string structure knowledge, inclined well and directional well rod and pipe centralizing and anti-wear knowledge, reservoir damage evaluation knowledge, reservoir reconstruction method and scale knowledge, wellbore operation cost and production operation cost knowledge required for completing the oil and gas production engineering design of a well. Completion knowledge, casing string knowledge, drilling time efficiency knowledge, drilling fault and drilling complexity knowledge, drilling cost knowledge.

[0130] Data tracing of wellbore oil and gas production knowledge: mainly allows manpower to verify part of the knowledge column, through consulting the reference data and reference materials of the knowledge column, to clarify the rationality and accuracy of the knowledge, and to avoid the deviation of the knowledge caused by data entry error, data operation irregularity and other situations.

[0131] Repeat the selection of wellbore oil and gas production knowledge of multiple wells: including, selecting the completed well with similar oil and gas production completion technology as the target well, reading the oil and gas production engineering knowledge items, if the knowledge items have good consistency, the oil and gas production engineering knowledge of the well can be retained, and the oil and gas production engineering knowledge of the next well is continuously selected. If the consistency of the knowledge items is poor, the well is reselected, the consistency of the oil and gas production engineering knowledge of the newly selected well and the target well is compared again, until N wells with good consistency of wellbore oil and gas production knowledge are found. N is generally 3-5, and in some cases with higher requirements, N can be more than 10; the wellbore oil and gas production knowledge of multiple wells is selected, and the wells in the same well area, the same geological structure, and the same layer are preferred.

[0132] Based on the wellbore oil and gas production knowledge of multiple wells, the oil and gas production scheme design and scheme compilation are guided: the oil and gas production engineering knowledge of multiple wells with good consistency is collected to form the geological reservoir knowledge, reservoir physical property and fluid physical property knowledge, formation pressure and temperature system knowledge, well completion method and wellbore structure knowledge, oil layer inflow and tubing outflow system coordination knowledge, lifting technology and downhole string structure knowledge, inclined well and directional well pipe centralization and anti-friction knowledge, reservoir damage evaluation knowledge, reservoir reconstruction method and scale knowledge, and operation cost and production operation cost knowledge of the completed well, thereby forming the oil and gas production knowledge. According to the knowledge, the oil and gas production scheme design and scheme compilation are completed.

[0133] The oil and gas well oil and gas production engineering knowledge base provided in the present example expands the existing way of storing oil and gas wellbore oil and gas production technical experience in the form of data and data, changes the oil and gas production technical experience which is scattered in paper materials and document materials in the form of data in the past, and needs to be collected, counted and analyzed by manual work, and exists in the computer information system in the form of knowledge. The oil and gas well oil and gas production engineering knowledge is quickly applied by oil and gas production technical personnel to guide the oil and gas production operation of new wells. The problem of time-consuming, labor-intensive and high cost in the prior art of relying on manual statistical analysis of data in oil and gas well oil and gas production data is solved, and six data import methods are realized; at the same time, the problem of relying on oil and gas production technical personnel to extract, select, count and analyze data to form knowledge from the oil and gas wellbore oil and gas production database is solved, and the transformation from the oil and gas wellbore oil and gas production database to the oil and gas wellbore oil and gas production knowledge base and the quick transplantation and application of the wellbore oil and gas production knowledge are realized. The unified management of oil and gas well oil and gas production data, oil and gas well oil and gas production data, and oil and gas well oil and gas production engineering knowledge is realized, and the oil and gas well oil and gas production engineering knowledge is formed based on the complete oil and gas well oil and gas production data.

[0134] The above specific application is only an example, and the remaining embodiments will not be described one by one.

[0135] Based on the same inventive concept, the embodiment of the present application also provides an oil and gas well exploitation engineering knowledge base construction device. Since the principle of the problem solved by the oil and gas well exploitation engineering knowledge base construction device is similar to that of the oil and gas well exploitation engineering knowledge base construction method, the implementation of the oil and gas well exploitation engineering knowledge base construction device can be referred to the implementation of the oil and gas well exploitation engineering knowledge base construction method, and the repeated parts will not be described herein again. The specific structure is as shown in Figure 8

[0136] The data collection module 801 is configured to collect the exploitation data of the multiple oil and gas wells that have been put into production, including geological reservoir data, engineering design data, engineering construction data and engineering business data, to form an oil and gas well exploitation database;

[0137] The database construction module 802 is configured to extract the structured geological reservoir data, engineering design data, engineering construction data and engineering business data of the multiple oil and gas wells from the oil and gas well exploitation database, to generate an oil and gas well exploitation database;

[0138] The knowledge base construction module 803 is configured to analyze the data in the oil and gas well exploitation database based on the oil and gas well exploitation engineering knowledge items, to obtain the oil and gas well exploitation engineering knowledge, and to construct an oil and gas well exploitation engineering knowledge base. The oil and gas well exploitation engineering knowledge items are used to represent the cognition of the relationship between various exploitation engineering measures in the formation process of the oil and gas well.

[0139] The database construction module 802 is specifically configured to:

[0140] search in the oil and gas well exploitation database to obtain the geological reservoir data, engineering design data and engineering business data of each oil and gas well before formation, and store them in the oil and gas well exploitation database;

[0141] According to the oil and gas well exploitation database, determine whether there is real-time collection of engineering construction data in the formation process of each oil and gas well. If there is, store the real-time collection of engineering construction data in the oil and gas well exploitation database;

[0142] If not, use absolute search, fuzzy search or character recognition to search for the engineering construction data of each oil and gas well in the oil and gas well exploitation database, and store them in the oil and gas well exploitation database.

[0143] In specific embodiments, the knowledge base construction module is specifically configured to:

[0144] ​With the oil and gas well exploitation engineering knowledge item as a benchmark, data items having a first corresponding relationship with the oil and gas well exploitation engineering knowledge item are searched in the oil and gas well exploitation database, data values of the data items and mapping relationships therebetween are recorded, and structured oil and gas well exploitation engineering knowledge is obtained;

[0145] With the oil and gas well exploitation engineering knowledge item as a benchmark, data items having a second corresponding relationship with the oil and gas well exploitation engineering knowledge item are searched in the oil and gas well exploitation database, data values or texts of the data items are recorded, and unstructured oil and gas well exploitation engineering knowledge is obtained.

[0146] The structured oil and gas well exploitation engineering knowledge and the unstructured oil and gas well exploitation engineering knowledge are combined to construct an oil and gas well exploitation engineering knowledge base.

[0147] In specific implementation, each knowledge item includes:

[0148] a self-change parameter, a same-kind item difference parameter, an associated influence parameter on the remaining knowledge items, an advancement parameter, an engineering effectiveness parameter, and a cost factor parameter.

[0149] In specific embodiments, when the exploitation data is drilling data,

[0150] The data collection module 801 is specifically configured to collect drilling data of a plurality of oil and gas wells that have been put into production, including geological reservoir data before the oil and gas wells are formed, drilling engineering design data, drilling engineering construction data, and drilling engineering business data, to form a drilling data base of the oil and gas wells.

[0151] The database construction module 802 is specifically configured to extract structured geological reservoir data, drilling engineering design data, drilling engineering construction data, and drilling engineering business data of the plurality of oil and gas wells from the drilling data base of the oil and gas wells, to generate a drilling database of the oil and gas wells.

[0152] The knowledge base construction module 803 is specifically configured to take the oil and gas well drilling engineering knowledge item as a benchmark, analyze data in the drilling database of the oil and gas wells, obtain oil and gas well drilling engineering knowledge, and construct a drilling engineering knowledge base of the oil and gas wells. The oil and gas well drilling engineering knowledge item is used to represent cognition of relationships between various drilling engineering measures in the formation process of the oil and gas well.

[0153] In specific embodiments, the above oil and gas well drilling engineering knowledge item includes:

[0154] geological reservoir knowledge, drilling geological knowledge, formation pressure knowledge, wellbore structure knowledge, drilling fluid knowledge, drilling tool assembly knowledge, directional drilling knowledge, cementing knowledge, drill bit knowledge, wellbore quality knowledge, completion knowledge, casing string knowledge, drilling time efficiency knowledge, drilling fault knowledge, drilling complexity knowledge, and drilling cost knowledge.

[0155] In specific embodiments, the mining data is oil and gas production data,

[0156] The data collection module 801 is specifically configured to collect oil and gas production data of a plurality of oil and gas wells that have been put into production, including geological reservoir data before the formation of the oil and gas well, oil and gas production engineering design data, oil and gas production engineering construction data, and oil and gas production engineering business data, to form an oil and gas production database of the oil and gas well;

[0157] The database construction module 802 is specifically configured to extract structured geological reservoir data, oil and gas production engineering design data, oil and gas production engineering construction data, and oil and gas production engineering business data of a plurality of oil and gas wells from the oil and gas production database of the oil and gas well, to generate an oil and gas production database of the oil and gas well;

[0158] The knowledge base construction module 803 is specifically configured to analyze the data in the oil and gas production database of the oil and gas well based on oil and gas production engineering knowledge items, to obtain oil and gas production engineering knowledge, and to construct an oil and gas production engineering knowledge base. The oil and gas production engineering knowledge items are used to represent the cognition of the relationship between various oil and gas production engineering measures in the formation process of the oil and gas well.

[0159] Specifically, the oil and gas production engineering knowledge items include:

[0160] geological reservoir knowledge, reservoir physical property knowledge, reservoir fluid physical property knowledge, formation pressure knowledge, formation temperature system knowledge, well completion method and wellbore structure knowledge, inflow performance curve knowledge, lifting technology and downhole string structure knowledge, deviated well and directional well rod string centralization and anti-friction knowledge, reservoir damage assessment knowledge, reservoir reconstruction method and scale knowledge, wellbore operation cost knowledge, and wellbore production operation cost knowledge.

[0161] The oil and gas well mining engineering knowledge base construction device provided in an embodiment includes: Figure 9 as shown in Figure 8 , further comprising a verification module 901 configured to:

[0162] verify the data integrity and uniqueness of each item of knowledge in the oil and gas well mining engineering knowledge base.

[0163] In specific implementations, the verification module 901 is specifically configured to:

[0164] find data of the knowledge item with data source differences in the oil and gas well mining engineering knowledge base;

[0165] verify according to the conventional range corresponding to the data of the knowledge item with data source differences, and remove the incorrect data;

[0166] After removing the error data, data with a difference degree exceeding a preset value is removed according to the difference degree between data provided by multiple data sources.

[0167] In another specific embodiment, an oil and gas well exploitation engineering knowledge base construction device is provided, as shown in Figure 10 The device further comprises a knowledge base application module 1001, configured to: Figure 8

[0168] The oil and gas well exploitation engineering knowledge base is used to determine the exploitation engineering design parameters corresponding to the target oil and gas well.

[0169] The knowledge base application module 1001 is specifically configured to:

[0170] Obtain the geological reservoir data of the target oil and gas well;

[0171] According to the geological reservoir data of the target oil and gas well, the oil and gas well exploitation engineering knowledge of at least one oil and gas well with a similarity to the target oil and gas well exceeding a preset value is obtained from the oil and gas well exploitation engineering knowledge base.

[0172] The oil and gas well exploitation engineering knowledge of the at least one oil and gas well is learned to form the oil and gas well exploitation engineering knowledge, and the exploitation engineering design parameters corresponding to the target oil and gas well are obtained.

[0173] The present application also provides a computer device, comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the above-mentioned oil and gas well exploitation engineering knowledge base construction method.

[0174] The present application also provides a computer readable storage medium, which stores a computer program for executing the above-mentioned oil and gas well exploitation engineering knowledge base construction method.

[0175] In summary, the oil and gas well exploitation engineering knowledge base construction method and device provided by the present application have the following advantages:

[0176] ​The mining data of a plurality of oil and gas wells in production is collected, including geological reservoir data, engineering design data, engineering construction data and engineering business data, to form an oil and gas well mining database; structured geological reservoir data, engineering design data, engineering construction data and engineering business data of the plurality of oil and gas wells are extracted from the oil and gas well mining database to generate an oil and gas well mining database; oil and gas well mining engineering knowledge is obtained by analyzing the data in the oil and gas well mining database based on oil and gas well mining engineering knowledge items, and an oil and gas well mining engineering knowledge base is constructed; wherein the oil and gas well mining engineering knowledge items are used to represent the cognition of the relationship between various mining engineering measures in the formation process of the oil and gas well. By establishing the oil and gas well mining engineering knowledge base, the oil and gas well mining engineering knowledge is uniformly managed, thereby reducing the workload of collecting and counting the basic data required for the oil and gas well mining scheme design, and compared with the existing method of manually screening and inputting paper data or document unstructured data, only searching in the constructed oil and gas well mining engineering knowledge base is needed, thereby improving the work efficiency.

[0177] Although the present application provides the method operation steps as described in the embodiments or flowcharts, more or less operation steps can be included based on conventional or non-inventive labor. The order of steps listed in the embodiments is only one of the many step execution orders, and does not represent the only execution order. In actual device or client product execution, the method order shown in the embodiments or the drawings can be executed in sequence or in parallel (for example, in a parallel processor or multi-thread processing environment).

[0178] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, device (system) or computer program product. Therefore, the embodiments of the present application can take the form of a complete hardware embodiment, a complete software embodiment or an embodiment combining software and hardware aspects. Moreover, the present application can take the form of a computer program product implemented on one or more computer usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer usable program code.

[0179] The present application is described with reference to flowcharts and / or block diagrams of methods, devices (systems) and computer program products according to embodiments of the present application. It should be understood that each flow and / or block in the flowcharts and / or block diagrams, and the combination of flows and / or blocks in the flowcharts and / or block diagrams can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device produce a means for implementing the functions specified in the flowcharts and / or block diagrams. Figure 1 one flow or a plurality of flows and / or blocksFigure 1 means for performing the function specified by the block or blocks.

[0180] These computer program instructions can also be stored in a computer readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer readable memory produce an article of manufacture including instructions which implement the flow Figure 1 flow or flows and / or blocks Figure 1 means for performing the function specified by the block or blocks.

[0181] These computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the flow Figure 1 flow or flows and / or blocks Figure 1 steps of means for performing the function specified by the block or blocks.

[0182] The various embodiments described in this specification are intended to be illustrative only and not in limitation of the application. In particular, the system embodiments are described relatively simply as they are substantially similar to the method embodiments. In this document, relational terms such as first and second, and the like, are used solely to distinguish one from another entity or action, without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises", "comprising", or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but can include other elements not expressly listed or inherent to such process, method, article, or apparatus. The terms "upper", "lower", and the like, refer to the orientation or position shown in the drawings, and are used only to facilitate the description of the application and to more simply and conveniently refer to the drawings, and are not intended to limit or imply that the device or element so referred to must have a particular orientation, be constructed or operated in a particular orientation, or be used in a particular orientation, and are thus not to be construed as limiting the application. Unless specifically set forth herein, the terms "mount", "coupled", "connected", and the like, range from including direct connections between components to indirect connections to one or more intermediate components. The specific use and meaning of the foregoing terms can be readily determined by those of ordinary skill in the art when viewed in context. It is to be understood that the embodiments and features of the application described herein can be combined with each other, unless specifically stated otherwise. The application is not limited to any single aspect or implementation, nor to any single combination of aspects and / or implementations. Moreover, the application is not limited to any single mode of practice.

[0183] Finally, it should be noted that the above-described embodiments are merely intended to illustrate the technical solutions of the present application, but not to limit the present application; even if the above-described embodiments have been described in detail, those of ordinary skill in the art should understand that they can still modify the technical solutions recorded in the above-described embodiments, or equivalently replace some or all of the technical features thereof; and such modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present application, and should be covered in the scope of the claims and the specification of the present application.

Claims

1. A method of constructing an oil and gas well production engineering knowledge base, characterized by, The method comprises the following steps: Collecting the production data of a plurality of oil and gas wells, including geological reservoir data, engineering design data, engineering construction data and engineering business data, to form an oil and gas well production database; Extracting structured geological reservoir data, engineering design data, engineering construction data and engineering business data of the plurality of oil and gas wells from the oil and gas well production database to generate an oil and gas well production database; Analyzing the data in the oil and gas well production database based on oil and gas well production engineering knowledge items to obtain oil and gas well production engineering knowledge and to construct an oil and gas well production engineering knowledge base; the oil and gas well production engineering knowledge items are used to represent the cognition of the relationship between various production engineering measures during the formation of the oil and gas well; Extracting structured geological reservoir data, engineering design data, engineering construction data and engineering business data of the plurality of oil and gas wells from the oil and gas well production database to generate an oil and gas well production database, comprising: Searching in the oil and gas well production database to obtain the geological reservoir data, engineering design data and engineering business data of each oil and gas well before formation, and storing them in the oil and gas well production database; According to the oil and gas well production database, determining whether there is real-time collection of engineering construction data during the formation of each oil and gas well, if there is, storing the real-time collection of engineering construction data in the oil and gas well production database; If not, using absolute search, fuzzy search or character recognition to find the engineering construction data of each oil and gas well in the oil and gas well production database and store them in the oil and gas well production database.

2. The oil and gas field development knowledge base construction method of claim 1, wherein, Analyzing the data in the oil and gas well production database based on oil and gas well production engineering knowledge items to obtain oil and gas well production engineering knowledge and to construct an oil and gas well production engineering knowledge base, comprising: Searching for data items in the oil and gas well production database that have a first corresponding relationship with the oil and gas well production engineering knowledge items based on the oil and gas well production engineering knowledge items, recording the data values of the data items and the mapping relationship therebetween to obtain structured oil and gas well production engineering knowledge; Searching for data items in the oil and gas well production database that have a second corresponding relationship with the oil and gas well production engineering knowledge items based on the oil and gas well production engineering knowledge items, recording the data values or characters of the data items to obtain unstructured oil and gas well production engineering knowledge; Combining the structured oil and gas well production engineering knowledge and the unstructured oil and gas well production engineering knowledge to construct an oil and gas well production engineering knowledge base.

3. The oil and gas field development knowledge base construction method of claim 1, wherein, Each of the knowledge items comprises: Self-change parameters, same-type item difference parameters, associated influence parameters for the remaining knowledge items, advanced parameters, engineering effectiveness parameters and cost factor parameters.

4. The oil and gas field development knowledge base construction method of claim 1, wherein, When the production data is drilling data, Collecting the drilling data of a plurality of oil and gas wells, including geological reservoir data before the formation of the oil and gas well, drilling engineering design data, drilling engineering construction data and drilling engineering business data, to form a drilling data base of the oil and gas well; Extracting structured geological reservoir data, drilling engineering design data, drilling engineering construction data and drilling engineering business data of the plurality of oil and gas wells from an oil and gas well drilling database, to generate an oil and gas well drilling database; Taking oil and gas well drilling engineering knowledge items as a benchmark, analyzing data in the oil and gas well drilling database to obtain oil and gas well drilling engineering knowledge, and constructing an oil and gas well drilling engineering knowledge base; the oil and gas well drilling engineering knowledge items are used to represent the cognition of the relationship between various drilling engineering measures in the formation of oil and gas wells.

5. The oil and gas field production engineering knowledge base construction method of claim 4, wherein, The oil and gas well drilling engineering knowledge items include: geological reservoir knowledge, drilling geological knowledge, formation pressure knowledge, wellbore structure knowledge, drilling fluid knowledge, drilling tool combination knowledge, directional drilling knowledge, cementing knowledge, drill bit knowledge, wellbore quality knowledge, completion knowledge, casing string knowledge, drilling time efficiency knowledge, drilling failure knowledge, drilling complexity knowledge and drilling cost knowledge.

6. The oil and gas field production engineering knowledge base construction method of claim 1, wherein, When the production data is oil and gas production data, Collecting oil and gas production data of a plurality of oil and gas wells that have been put into production, including geological reservoir data, oil and gas production engineering design data, oil and gas production engineering construction data and oil and gas production engineering business data before the formation of the oil and gas wells, to form an oil and gas well oil and gas production database; Extracting structured geological reservoir data, oil and gas production engineering design data, oil and gas production engineering construction data and oil and gas production engineering business data of the plurality of oil and gas wells from the oil and gas well oil and gas production database, to generate an oil and gas well oil and gas production database; Taking oil and gas well oil and gas production engineering knowledge items as a benchmark, analyzing data in the oil and gas well oil and gas production database to obtain oil and gas well oil and gas production engineering knowledge, and constructing an oil and gas well oil and gas production engineering knowledge base; the oil and gas well oil and gas production engineering knowledge items are used to represent the cognition of the relationship between various oil and gas production engineering measures in the formation of oil and gas wells.

7. The oil and gas field production engineering knowledge base construction method of claim 6, wherein, The oil and gas well oil and gas production engineering knowledge items include: geological reservoir knowledge, reservoir physical property knowledge, reservoir fluid physical property knowledge, formation pressure knowledge, formation temperature system knowledge, completion method and wellbore structure knowledge, inflow performance curve knowledge, lifting technology and downhole string structure knowledge, deviated well and directional well rod string centralization and anti-friction knowledge, reservoir damage assessment knowledge, reservoir reconstruction method and scale knowledge, wellbore operation cost knowledge, and wellbore production operation cost knowledge.

8. The oil and gas field production engineering knowledge base construction method of claim 1, wherein, Also including: Verifying the data integrity and uniqueness of each item of knowledge in the oil and gas production engineering knowledge base.

9. The oil and gas field production engineering knowledge base construction method of claim 8, wherein, Verifying the data integrity and uniqueness of each item of knowledge in the oil and gas production engineering knowledge base includes: Searching for data of knowledge items with data source differences in the oil and gas production engineering knowledge base; According to the conventional range corresponding to the data of the knowledge items with data source differences, verifying and removing incorrect data; After removing incorrect data, removing data with a difference degree exceeding a preset value according to the difference degree between the data provided by a plurality of data sources.

10. The oil and gas field production engineering knowledge base construction method of claim 1, wherein, Also including: Using the oil and gas production engineering knowledge base to determine the corresponding production engineering design parameters of a target oil and gas well.

11. The oil and gas field production engineering knowledge base construction method of claim 10, wherein, Using the oil and gas production engineering knowledge base to determine the corresponding production engineering design parameters of a target oil and gas well includes: Obtaining geological reservoir data of a target oil and gas well; According to the geological reservoir data of the target oil and gas well, searching in the oil and gas well mining engineering knowledge base to obtain oil and gas well mining engineering knowledge of at least one oil and gas well similar to the target oil and gas well and having a similarity exceeding a preset value; Learning the oil and gas well mining engineering knowledge of the at least one oil and gas well to form oil and gas well mining engineering knowledge and obtain the corresponding mining engineering design parameters of the target oil and gas well.

12. An oil and gas well production engineering knowledge base construction apparatus, characterized by comprising: Comprise: The data acquisition module is used for collecting the mining data of a plurality of oil and gas wells in production, including geological reservoir data, engineering design data, engineering construction data and engineering business data, to form an oil and gas well mining database; The database construction module is used for extracting the structured geological reservoir data, engineering design data, engineering construction data and engineering business data of the plurality of oil and gas wells from the oil and gas well mining database to generate an oil and gas well mining database; The knowledge base construction module is used for analyzing the data in the oil and gas well mining database based on oil and gas well mining engineering knowledge items to obtain oil and gas well mining engineering knowledge and construct an oil and gas well mining engineering knowledge base; the oil and gas well mining engineering knowledge items are used to represent the cognition of the relationship between various mining engineering measures in the formation process of the oil and gas well; The database construction module is specifically used for: Searching in the oil and gas well mining database to obtain the geological reservoir data, engineering design data and engineering business data of each oil and gas well before formation and storing them in the oil and gas well mining database; According to the oil and gas well mining database, determining whether there is real-time collection of engineering construction data in the formation process of each oil and gas well, if there is, storing the real-time collection of engineering construction data in the oil and gas well mining database; If not, using absolute search, fuzzy search or character recognition to search for the engineering construction data of each oil and gas well in the oil and gas well mining database and storing them in the oil and gas well mining database.

13. The oil and gas field development knowledge base construction apparatus of claim 12, wherein, The knowledge base construction module is specifically used for: Based on the oil and gas well mining engineering knowledge items, searching for data items having a first corresponding relationship with the oil and gas well mining engineering knowledge items in the oil and gas well mining database, recording the data values of the data items and the mapping relationship therebetween to obtain structured oil and gas well mining engineering knowledge; Based on the oil and gas well mining engineering knowledge items, searching for data items having a second corresponding relationship with the oil and gas well mining engineering knowledge items in the oil and gas well mining database, recording the data values or characters of the data items to obtain unstructured oil and gas well mining engineering knowledge; Combining the structured oil and gas well mining engineering knowledge and the unstructured oil and gas well mining engineering knowledge to construct the oil and gas well mining engineering knowledge base.

14. The oil and gas field development knowledge base construction apparatus of claim 12, wherein, Each of the knowledge items comprises: Self-change parameters, similar item difference parameters, associated influence parameters on the remaining knowledge items, advanced parameters, engineering effectiveness parameters and cost factor parameters.

15. The oil and gas field development knowledge base construction apparatus of claim 12, wherein, When the mining data is drilling data, The data collection module is specifically configured to collect drilling data of a plurality of oil and gas wells that have been put into production, including geological reservoir data before the oil and gas wells are formed, drilling engineering design data, drilling engineering construction data and drilling engineering business data, to form a drilling data library of the oil and gas wells. The database construction module is specifically configured to extract structured geological reservoir data, drilling engineering design data, drilling engineering construction data and drilling engineering business data of the plurality of oil and gas wells from the drilling data library of the oil and gas wells, to generate a drilling database of the oil and gas wells. The knowledge base construction module is specifically configured to analyze data in the drilling database of the oil and gas wells based on oil and gas well drilling engineering knowledge items, to obtain oil and gas well drilling engineering knowledge, and to construct a drilling engineering knowledge base of the oil and gas wells. The oil and gas well drilling engineering knowledge items are used to represent cognition of relationships between various drilling engineering measures in the formation process of the oil and gas wells.

16. The oil and gas field development knowledge base construction apparatus of claim 15 wherein, The oil and gas well drilling engineering knowledge items include: geological reservoir knowledge, drilling geological knowledge, formation pressure knowledge, wellbore structure knowledge, drilling fluid knowledge, drilling tool combination knowledge, directional drilling knowledge, cementing knowledge, drill bit knowledge, wellbore quality knowledge, completion knowledge, casing string knowledge, drilling time efficiency knowledge, drilling fault knowledge, drilling complexity knowledge and drilling cost knowledge.

17. The oil and gas field development knowledge base construction apparatus of claim 12, wherein, When the production data is oil and gas production data, The data collection module is specifically configured to collect oil and gas production data of a plurality of oil and gas wells that have been put into production, including geological reservoir data before the oil and gas wells are formed, oil and gas production engineering design data, oil and gas production engineering construction data and oil and gas production engineering business data, to form an oil and gas production data library of the oil and gas wells. The database construction module is specifically configured to extract structured geological reservoir data, oil and gas production engineering design data, oil and gas production engineering construction data and oil and gas production engineering business data of the plurality of oil and gas wells from the oil and gas production data library of the oil and gas wells, to generate an oil and gas production database of the oil and gas wells. The knowledge base construction module is specifically configured to analyze data in the oil and gas production database of the oil and gas wells based on oil and gas production engineering knowledge items, to obtain oil and gas production engineering knowledge, and to construct an oil and gas production engineering knowledge base of the oil and gas wells. The oil and gas production engineering knowledge items are used to represent cognition of relationships between various oil and gas production engineering measures in the formation process of the oil and gas wells.

18. The oil and gas field development knowledge base construction apparatus of claim 17 wherein, The oil and gas production engineering knowledge items include: geological reservoir knowledge, reservoir physical property knowledge, reservoir fluid physical property knowledge, formation pressure knowledge, formation temperature system knowledge, completion method and wellbore structure knowledge, inflow performance curve knowledge, lifting technology and downhole string structure knowledge, deviated well and directional well rod string centralization and anti-friction knowledge, reservoir damage assessment knowledge, reservoir reconstruction method and scale knowledge, wellbore operation cost knowledge, and wellbore production operation cost knowledge.

19. The oil and gas field development knowledge base construction apparatus of claim 12, wherein, Further comprising: a verification module configured to: verify data integrity and uniqueness of each item of knowledge in the oil and gas production engineering knowledge base.

20. The oil and gas field development knowledge base construction apparatus of claim 19 wherein, The verification module is specifically configured to: find data of a knowledge item with a data source difference in the oil and gas production engineering knowledge base. According to the conventional range of the data corresponding to the knowledge item according to the data source difference, the error data is removed; After removing the error data, the data with the difference degree exceeding the preset value is removed according to the difference degree between the data provided by the multiple data sources.

21. The oil and gas field development knowledge base construction apparatus of claim 12 wherein, Further comprising: The knowledge base application module is used for: Using the oil and gas well exploitation engineering knowledge base, the exploitation engineering design parameters corresponding to the target oil and gas well are determined.

22. The oil and gas field development knowledge base construction apparatus of claim 21 wherein, The knowledge base application module is specifically used for: Obtaining the geological reservoir data of the target oil and gas well; According to the geological reservoir data of the target oil and gas well, the oil and gas well exploitation engineering knowledge of at least one oil and gas well with similarity exceeding a preset value to the target oil and gas well is obtained in the oil and gas well exploitation engineering knowledge base; Learning the oil and gas well exploitation engineering knowledge of at least one oil and gas well, forming the oil and gas well exploitation engineering knowledge, and obtaining the exploitation engineering design parameters corresponding to the target oil and gas well.

23. A computer device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the computer program comprises the steps of: The processor executes the computer program to realize the method in any one of claims 1 to 11.

24. A computer-readable storage medium, characterized in that, The computer readable storage medium stores a computer program, and the computer program is executed by the processor to realize the method in any one of claims 1 to 11.

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