A mineral component determination method and device, electronic equipment and medium

Abstract

The embodiment of the application discloses a mineral component determination method, device, electronic equipment and medium. The method comprises the following steps: determining the preliminary mineral component content of the target formation according to the well logging curve of the target formation; selecting the target mineral component from the mineral component according to the preliminary mineral component content and the theoretical mineral component content; determining the target element composition of the target mineral component, and selecting the element logging curve corresponding to the target element composition; and determining the final mineral component content of the target formation according to the well logging curve and the element logging curve. The technical scheme of the embodiment of the application determines the final mineral component content of the target formation by combining the element logging curve corresponding to the target element composition of the target mineral component on the basis of the well logging curve, thereby improving the accuracy of the determination of the mineral component content.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of oil and gas exploration, and in particular to a mineral component determination method and device, electronic equipment and medium. BACKGROUND

[0002] Compared with ordinary sandstone and carbonate rock, the mineral components of transitional shale strata are generally more complex, including quartz, feldspar, limestone, dolomite, illite, chlorite, montmorillonite, pyrite, mica and anhydrite, etc., in addition to non-mineral components such as kerogen and pore fluid (oil, gas and water), etc., which increases the uncertainty of logging inversion results and makes it impossible to accurately determine the mineral components in the strata. SUMMARY

[0003] The present application provides a mineral component determination method and device, electronic equipment and medium, which determines the final mineral component content of the target stratum by combining the element logging curve corresponding to the target element component of the target mineral component on the basis of the logging curve, thereby improving the accuracy of mineral component content determination.

[0004] According to an aspect of the present application, a mineral component determination method is provided, which comprises:

[0005] determining the preliminary mineral component content of the target stratum according to the logging curve of the target stratum;

[0006] selecting a target mineral component from the mineral components according to the preliminary mineral component content and the theoretical mineral component content;

[0007] determining the target element component of the target mineral component and selecting the element logging curve corresponding to the target element component;

[0008] determining the final mineral component content of the target stratum according to the logging curve and the element logging curve.

[0009] According to another aspect of the present application, a mineral component determination device is provided, which comprises:

[0010] a preliminary mineral component content determination module configured to determine the preliminary mineral component content of the target stratum according to the logging curve of the target stratum;

[0011] a target mineral component selection module configured to select a target mineral component from the mineral components according to the preliminary mineral component content and the theoretical mineral component content;

[0012] an element logging curve selection module configured to determine the target element component of the target mineral component and select the element logging curve corresponding to the target element component;

[0013] A final mineral component content determination module is configured to determine the final mineral component content of the target formation according to the well logging curve and the element logging curve.

[0014] According to another aspect of the present application, an electronic device is provided, the device comprising:

[0015] at least one processor; and

[0016] a memory communicatively connected to the at least one processor; wherein

[0017] The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor to enable the at least one processor to perform the mineral component determination method of any of the embodiments of the present application.

[0018] According to another aspect of the present application, a computer readable storage medium is provided, the computer readable storage medium stores computer instructions, and the computer instructions are used to enable the processor to implement the mineral component determination method of any of the embodiments of the present application when executed.

[0019] The technical solution of the embodiments of the present application determines the preliminary mineral component content of the target formation according to the well logging curve of the target formation, selects the target mineral component from the mineral components according to the preliminary mineral component content and the theoretical mineral component content, determines the target element composition of the target mineral component and selects the element logging curve corresponding to the target element composition, and determines the final mineral component content of the target formation according to the well logging curve and the element logging curve. The technical solution of the embodiments of the present application determines the final mineral component content of the target formation by combining the element logging curve corresponding to the target element composition of the target mineral component on the basis of the well logging curve, thereby improving the accuracy of the determination of the mineral component content.

[0020] It should be understood that the content described in this part is not intended to identify the key or important features of the embodiments of the present application, nor is it used to limit the scope of the present application. Other features of the present application will become apparent from the following description. BRIEF DESCRIPTION OF DRAWINGS

[0021] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed in the embodiment description will be briefly introduced below. Obviously, the drawings in the following description are only some of the embodiments of the present application, and other drawings can also be obtained by those skilled in the art without creative labor.

[0022] Figure 1 is a flowchart of a mineral component determination method provided by the first embodiment of the present application;

[0023] Figure 2 is a flow chart of a mineral component determination method according to Embodiment Two of the present application;

[0024] Figure 3 is a structural schematic diagram of a mineral component determination device according to Embodiment Three of the present application;

[0025] Figure 4 is a structural schematic diagram of an electronic device for implementing a mineral component determination method according to Embodiment Four of the present application. DETAILED DESCRIPTION

[0026] In order to enable persons skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by persons skilled in the art without creative labor should fall within the scope of protection of the present application.

[0027] It should be noted that the terms “first”, “second”, “third”, “fourth”, “actual”, “preset” and the like in the specification and claims of the present application and the above-described drawings are used to distinguish similar objects, and do not necessarily have to be used to describe a specific order or sequence. It should be understood that the data thus used can be interchanged under appropriate circumstances, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms “include” and “have” and any variations thereof are intended to cover non-exclusive inclusion, for example, a process, method, system, product or device that includes a series of steps or units does not have to be limited to only those steps or units clearly listed, but can include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0028] Embodiment One

[0029] Figure 1 A flow chart of a mineral component determination method according to Embodiment One of the present application, the embodiments of the present application can be applicable to the case of determining the mineral component content of a formation. The method can be performed by a mineral component determination device, which can be realized in the form of hardware and / or software, and can be configured in an electronic device. As shown in the figure, the method comprises: Figure 1

[0030] S110, determining the preliminary mineral component content of the target formation according to the well logging curve of the target formation.

[0031] ​The well logging curve is a data graph obtained after the well logging instrument measures in the underground well hole. Different types of well logging instruments provide different well logging curves. Common well logging curves include natural gamma curve, resistivity curve, density curve, and porosity curve. Different well logging curves can provide information about different aspects of formation lithology, porosity, saturation, pressure, and temperature. By comprehensively analyzing different well logging curves, more comprehensive geological information can be obtained. The mineral component content refers to the percentage of different minerals in a geological sample or rock.

[0032] In the embodiments of the present application, the preliminary mineral component content of the target formation can be determined according to the well logging curve of the target formation through an inversion algorithm. The inversion algorithm is a mathematical algorithm for inferring unknown models or parameters from observation data, which can be applied to scenarios of deriving information about formation properties, mineral composition, or reservoir characteristics from well logging curve data.

[0033] In S120, the target mineral component is selected from the mineral components according to the preliminary mineral component content and the theoretical mineral component content.

[0034] The theoretical mineral component content is the mineral component content in the core data, which can be obtained through core analysis. Core analysis refers to determining the content of various minerals in a core sample according to the morphology, color, and crystallographic characteristics of the minerals through microscopic observation and mineralogical analysis of the core sample.

[0035] In the embodiments of the present application, the target mineral component refers to a mineral component with a large difference between the preliminary mineral component content and the theoretical mineral component content. After determining the preliminary mineral component content of the target formation, the preliminary mineral component content of the target formation can be compared with the theoretical mineral component content, and the target mineral component can be selected from the mineral components.

[0036] In S130, the target element component of the target mineral component is determined, and an element logging curve corresponding to the target element component is selected.

[0037] The element component of the mineral component refers to the content and chemical composition of various elements in the mineral. Different minerals have different element components due to their different crystal structures and compositions.

[0038] In the embodiments of the present application, the target element component refers to the main element component in the target mineral component. For example, the main element component of quartz is silicon, and the target element component of quartz is silicon. The main element component of calcite is calcium, and the target element component of calcite is calcium. The element logging curve mainly refers to the X-ray fluorescence logging curve, i.e., the XRF logging curve, which represents the content of each element in the formation according to the fluorescence characteristic peak intensity of different elements. After determining the target mineral component, the target element component thereof can be determined, and the element logging curve corresponding to the target element component can be selected.

[0039] S140, determining the final mineral component content of the target formation according to the logging curve and the element logging curve.

[0040] It should be noted that the determination of the mineral component through the logging curve is a qualitative or semi-quantitative method, which depends on the experience model and the understanding of the geological characteristics. Therefore, in the embodiments of the present application, after selecting the element logging curve corresponding to the target element component, the logging curve and the element logging curve corresponding to the target element component are comprehensively used to determine the final mineral component content of the target formation, so as to improve the accuracy of the determination of the mineral component content.

[0041] The technical scheme of the embodiments of the present application determines the preliminary mineral component content of the target formation according to the logging curve of the target formation, selects the target mineral component from the mineral component according to the preliminary mineral component content and the theoretical mineral component content, determines the target element component of the target mineral component, and selects the element logging curve corresponding to the target element component. The final mineral component content of the target formation is determined according to the logging curve and the element logging curve. The technical scheme of the embodiments of the present application determines the final mineral component content of the target formation by combining the element logging curve corresponding to the target element component of the target mineral component on the basis of the logging curve, thereby improving the accuracy of the determination of the mineral component content.

[0042] Embodiment Two

[0043] Figure 2 A flowchart of a mineral component determination method provided in the second embodiment of the present application is shown in FIG. 2. The method of the present embodiment is optimized based on the above-described embodiments, and the schemes not described in detail in the present embodiment are described in the above-described embodiments. As shown in FIG. 2, the method of the present embodiment specifically includes the following steps: Figure 2

[0044] S210, determining a first expression expressed by the content of different mineral components for the logging data corresponding to different logging curves.

[0045] ​It can be understood that due to the changes of the measuring equipment, the measuring conditions and other factors, the original logging curve of the target formation will inevitably be affected and deviated. At the same time, when determining the content of the mineral component, not all logging curves can play a role.

[0046] Therefore, before determining the first expression expressed by the content of different mineral components for the logging data corresponding to different logging curves, the method further comprises: preprocessing the logging curve of the target formation; wherein the preprocessing comprises at least one of outlier rejection, curve splicing, depth correction and borehole environment correction; quality evaluation is performed on the comparison between the preprocessed logging curve and the theoretical curve, and the logging curve is screened according to the quality evaluation result; and the logging curve is screened according to the sensitivity of the logging curve for distinguishing mineral components.

[0047] Wherein, the means for preprocessing the logging curve of the target formation includes: 1. Outlier rejection. Due to various reasons, there may be outliers or error data points in the logging data. Outlier rejection is to remove outliers that may affect data accuracy and interpretation results through statistical analysis or threshold judgment, etc., to ensure data quality and reliability. 2. Curve splicing. Logging data usually produces multiple curves due to different equipment, different instruments or different measurement conditions. Curve splicing is to splice and correct the logging curves of adjacent paragraphs to eliminate discontinuous or inconsistent parts and obtain consistent logging curve data. 3. Depth correction. Due to factors such as well depth error, expansion effect and topographic change during drilling, there is a difference between the depth of the logging curve and the actual formation depth. Depth correction is to correct the logging curve according to the well depth correction coefficient, well depth error curve or geological scale, etc., to obtain accurate formation depth. 4. Borehole environment correction. The physical quantity recorded by the logging curve is often affected by the borehole environment, such as porosity, drilling fluid, mud invasion, etc. Borehole environment correction is to correct the part of the logging curve affected by the borehole environment by establishing a model or using a special correction formula to obtain more accurate formation parameters and mineral information.

[0048] In the embodiment of the application, after preprocessing the logging curve of the target formation, the preprocessed logging curve is compared with the theoretical curve for quality evaluation, and the logging curve with poor quality is excluded from the candidate curves. Finally, in the conventional logging curve, the logging curve sensitive to mineral components is selected, for example, the compensated density curve, the compensated neutron curve, the compressional wave slowness curve, the natural gamma ray curve, the resistivity curve, etc. Thus, the data quality of the logging curve and the efficiency of data processing can be improved.

[0049] Then, the mathematical relationship between the logging curves and the mineral component content can be established according to the logging data corresponding to different logging curves, i.e., the first expression for representing the logging curves by using the content of different mineral components is determined , wherein, represents different logging curves.

[0050] For example, when the logging curves include the compensated density curve, the compensated neutron curve, the compressional slowness curve, and the natural gamma curve, and the mineral components include quartz, calcite, clay, pyrite, kerogen and fluid, the content of the first expression is:

[0051] ;

[0052] ;

[0053] ;

[0054] ;

[0055] .

[0056] , wherein, represents the compensated density, represents the compensated neutron, represents the compressional slowness, represents the natural gamma, and represents the content, and the subscript , , , , , respectively represents quartz, calcite, clay, pyrite, kerogen and fluid. It can be understood that the meaning of the last line in the above expression is that the sum of the contents of various mineral components is 1. The logging response parameter values of various mineral components can be seen in Table 1 below, which are substituted into the above first expression to establish the mathematical relationship between the logging curves and the mineral component content.

[0057] Table 1 Logging response parameter values of mineral components

[0058]

[0059] S220, according to the first expression and the logging data, determining the preliminary mineral component content of the target formation.

[0060] In the embodiment of the present application, according to the first expression and the logging data, a target function can be established, and an optimization inversion algorithm is used to determine the preliminary mineral component content of the target formation.

[0061] Specifically, according to the first expression and the logging data, the preliminary mineral component content of the target formation is determined, including: calculating the difference between the first expression and the logging data, and determining the sum of squares of the difference corresponding to different logging data as a first error; and solving the content of different mineral components to obtain the preliminary mineral component content of the target formation, with the minimum first error as a constraint condition.

[0062] It can be understood that the process of calculating the first error is the process of establishing the target function, and the content of the target function is , wherein, is the first error, is the first expression, is the logging data, represents different logging curves. With as a constraint condition, the content of different mineral components can be solved to obtain the preliminary mineral component content of the target formation.

[0063] S230, if the difference between the preliminary mineral component content and the theoretical mineral component content is greater than a preset threshold, the mineral component is taken as a target mineral component.

[0064] In the embodiment of the application, after the preliminary mineral component content of the target formation is determined, the preliminary mineral component content of the target formation can be compared with the theoretical mineral component content. If the difference between the preliminary mineral component content and the theoretical mineral component content is greater than a preset threshold, it indicates that the preliminary mineral component content and the theoretical mineral component content differ greatly, and the mineral component can be taken as a target mineral component. The size of the preset threshold can be set according to actual conditions.

[0065] S240, determining a target element component of the target mineral component, and selecting an element logging curve corresponding to the target element component.

[0066] S250, determining a second expression for representing the content of different mineral components, according to element logging data corresponding to different element logging curves.

[0067] In the embodiment of the application, a mathematical relationship between the element logging curve and the mineral component content can be established according to the element logging data corresponding to different element logging curves, that is, a second expression for representing the element logging curve by the content of different mineral components is determined , wherein, represents different element logging curves.

[0068] Exemplarily, when the element logging curve includes Curve, Curve, when the mineral components include quartz, calcite, clay, pyrite, kerogen and fluid is:

[0069] ;

[0070] ;

[0071] .

[0072] wherein, represents Curve, represents Curve, and represents content, subscript , , , , , respectively represent quartz, calcite, clay, pyrite, kerogen, fluid. It can be understood that the meaning of the last line in the above expression is that the sum of the contents of various mineral components is 1.

[0073] The element logging response parameter value of each mineral component can be calculated according to the stratum (such as coring depth or pure lithology section) of known mineral components, for example, for calcite, select a relatively pure limestone stratum, and the element logging response parameter value thereof is approximately taken as the element logging response parameter value of calcite, at this time, the response values of the remaining components are 0, and similarly, the element logging response parameter value of quartz can be calculated. Substituting it into the above second expression , the mathematical relationship between each element logging curve and the content of mineral components can be established.

[0074] S260, according to the second expression, the element logging data and the first error, determining the final mineral component content of the target stratum.

[0075] In the embodiment of the application, according to the second expression determined in step S250, the element logging data and the first error determined in step S220, a comprehensive objective function can be established, and the final mineral component content of the target stratum is determined by using an optimization algorithm.

[0076] Specifically, the final mineral component content of the target formation is determined according to the second expression, the element logging data and the first error, including: calculating the difference between the second expression and the element logging data, and determining the sum of squares of the difference corresponding to different element logging data as the second error; taking the minimum of the sum of the first error and the second error as a constraint condition, solving the content of different mineral components to obtain the final mineral component content of the target formation.

[0077] It can be understood that the process of calculating the sum of the first error and the second error is the process of establishing a comprehensive objective function, and the second error The sum of the first error and the second error , wherein, is the sum of the first error and the second error, is the first expression, is the logging data, represents different logging curves, is the second expression, is the element logging data, represents different element logging curves. With the minimum as a constraint condition, the content of different mineral components can be solved to obtain the final mineral component content of the target formation.

[0078] The embodiment of the present application provides a mineral component determination method, for logging data corresponding to different logging curves, a first expression expressed by the content of different mineral components is determined; according to the first expression and the logging data, the preliminary mineral component content of the target formation is determined; if the difference between the preliminary mineral component content and the theoretical mineral component content is greater than a preset threshold, the mineral component is taken as a target mineral component; the target element component of the target mineral component is determined, and the element logging curve corresponding to the target element component is selected; for element logging data corresponding to different element logging curves, a second expression expressed by the content of different mineral components is determined; according to the second expression, the element logging data and the first error, the final mineral component content of the target formation is determined. The technical scheme of the embodiment of the present application determines the final mineral component content of the target formation by combining the element logging curve corresponding to the target element component of the target mineral component on the basis of the logging curve, and improves the accuracy of the determination of the mineral component content.

[0079] Embodiment three

[0080] Figure 3 The structure diagram of a mineral component determination device provided by the third embodiment of the present application is shown in the figure. The device can execute the mineral component determination method provided by any embodiment of the present application, and has the corresponding function modules and beneficial effects of the execution method. As shown in the figure, Figure 3 the device includes:

[0081] The preliminary mineral component content determination module 310 is configured to determine a preliminary mineral component content of the target formation according to the well logging curve of the target formation.

[0082] The target mineral component selection module 320 is configured to select a target mineral component from the mineral components according to the preliminary mineral component content and the theoretical mineral component content.

[0083] The element logging curve selection module 330 is configured to determine a target element composition of the target mineral component, and select an element logging curve corresponding to the target element composition.

[0084] The final mineral component content determination module 340 is configured to determine a final mineral component content of the target formation according to the well logging curve and the element logging curve.

[0085] Optionally, the preliminary mineral component content determination module 310 comprises:

[0086] The first expression determination unit is configured to determine a first expression for representing the content of different mineral components according to the well logging data corresponding to different well logging curves.

[0087] The preliminary mineral component content determination unit is configured to determine the preliminary mineral component content of the target formation according to the first expression and the well logging data.

[0088] Optionally, the preliminary mineral component content determination unit comprises:

[0089] The first error determination subunit is configured to calculate the difference between the first expression and the well logging data, and determine the sum of squares of the differences corresponding to different well logging data as a first error.

[0090] The preliminary mineral component content determination subunit is configured to solve the content of different mineral components to obtain the preliminary mineral component content of the target formation, with the first error being minimum as a constraint condition.

[0091] Optionally, the final mineral component content determination module 340 comprises:

[0092] The second expression determination unit is configured to determine a second expression for representing the content of different mineral components according to the element logging data corresponding to different element logging curves.

[0093] The final mineral component content determination unit is configured to determine the final mineral component content of the target formation according to the second expression, the element logging data and the first error.

[0094] Optionally, the final mineral component content determination unit comprises:

[0095] a second error determination sub-unit, configured to calculate a difference between the second expression and the element logging data, and determine a sum of squares of the differences corresponding to different element logging data as a second error;

[0096] a final mineral component content determination sub-unit, configured to solve contents of different mineral components with a sum of the first error and the second error as a constraint condition, to obtain final mineral component contents of the target formation.

[0097] Optionally, the target mineral component selection module 320 comprises:

[0098] a target mineral component selection unit, configured to select the mineral component as a target mineral component if the difference between the preliminary mineral component content and the theoretical mineral component content is greater than a preset threshold.

[0099] Optionally, the apparatus further comprises:

[0100] a preprocessing module, configured to preprocess the logging curves of the target formation; wherein the preprocessing comprises at least one of outlier rejection, curve splicing, depth correction, and borehole environment correction;

[0101] a first screening module, configured to perform quality evaluation on a comparison between the preprocessed logging curves and the theoretical curves, and screen the logging curves according to the quality evaluation result;

[0102] a second screening module, configured to screen the logging curves according to sensitivities of the screened logging curves for distinguishing mineral components.

[0103] The mineral component determination apparatus provided in the embodiments of the present application can execute the mineral component determination method provided in any of the embodiments of the present application, and has the corresponding function modules and beneficial effects of the execution method.

[0104] Embodiment Four

[0105] Figure 4 A structural schematic diagram of an electronic device 10 that can be used to implement embodiments of the present application is shown. The electronic device is intended to represent various forms of digital computers, such as laptops, desktops, tablets, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device can also represent various forms of mobile devices, such as personal digital processors, cellular telephones, smart phones, wearable devices (e.g., headsets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be examples only, and are not intended to limit the implementations of the present application described and / or claimed in this document.

[0106] As Figure 4As shown, the electronic device 10 includes at least one processor 11, and a memory, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc., communicatively connected to the at least one processor 11, where the memory stores a computer program executable by the at least one processor. The processor 11 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or loaded into the random access memory (RAM) 13 from the storage unit 18. In the RAM 13, various programs and data required for the operation of the electronic device 10 can also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other through a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0107] Various components in the electronic device 10 are connected to the I / O interface 15, including an input unit 16, such as a keyboard, a mouse, etc., an output unit 17, such as various types of displays, a speaker, etc., a storage unit 18, such as a magnetic disk, an optical disk, etc., and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices through a computer network, such as the Internet, and / or various telecommunication networks.

[0108] The processor 11 can be various general and / or special purpose processing components with processing and computing capabilities. Some examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, etc. The processor 11 performs various methods and processes described above, such as the mineral composition determination method.

[0109] In some embodiments, the mineral composition determination method can be implemented as a computer program tangibly embodied in a computer readable storage medium, such as the storage unit 18. In some embodiments, part or all of the computer program can be loaded and / or installed onto the electronic device 10 via the ROM 12 and / or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the mineral composition determination method described above can be performed. Alternatively, in other embodiments, the processor 11 can be configured to perform the mineral composition determination method by any other appropriate means, such as by means of firmware.

[0110] The various embodiments of the systems and techniques described above can be implemented in digital electronic circuitry, integrated circuitry, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), system on a chip systems (SOCs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments can include implementation in one or more computer programs that are executable and / or interpretable on a programmable system including at least one programmable processor, which can be special or general purpose, coupled to receive data and instructions from, and to transmit data and instructions to, a storage system, at least one input device, and at least one output device.

[0111] Computer programs used to implement the processes of the present application can be written in any combination of one or more programming languages. These computer programs can be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the computer program, when executed, implements the functions / acts specified in the flowcharts and / or block diagrams. The computer program can be executed entirely on a machine, partially on a machine, partially on a machine as a standalone software package, and partially on a machine or entirely on a remote machine or server.

[0112] In the context of the present application, a computer-readable storage medium can be a tangible medium that can contain or store computer programs for use by or in connection with an instruction execution system, apparatus, or device. Computer-readable storage media can include, but are not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium can be a machine-readable signal medium. More specific examples of the machine-readable storage medium will include one or more lines of electrical connections, portable computer disks, hard disk drives, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or Flash memory), optical fibers, portable compact disc read-only memories (CD-ROMs), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0113] To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user and a keyboard and a pointing device (e.g., a mouse or a trackball) by which the user can provide input to the electronic device. Other kinds of devices can be used to provide for interaction with a user as well; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form, including acoustic, speech, or tactile input.

[0114] The systems and techniques described here can be implemented in a computing system that includes a back end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front end component (e.g., a user computer having a graphical user interface or a Web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back end, middleware, or front end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0115] The computing system can include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. A server can be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system, to solve the defects of large management difficulty and weak business scalability in traditional physical host and VPS service.

[0116] It should be understood that the various forms of flow shown above can be re-ordered, added to, or deleted from without departing from the scope of the present disclosure. For example, the steps recited in the present disclosure can be executed in parallel, executed in sequence, or executed in a different order, as long as the desired information of the technical solutions of the present disclosure can be achieved, which is not limited herein.

[0117] The specific embodiments described above are not intended to be limiting, and persons skilled in the art will appreciate that various modifications, combinations, sub-combinations and alternatives can be made to the specific embodiments without departing from the spirit and scope of the disclosure. Any further modifications, equivalents, and / or alternatives come within the scope of the present disclosure as described in the claims.

Claims

1. A method for determining mineral components, characterized in that, The method includes: Based on the well logging curves of the target formation, determine the preliminary mineral composition content of the target formation; Based on the preliminary mineral component content and the theoretical mineral component content, target mineral components are selected from the mineral components; Determine the target elemental composition of the target mineral component, and select the elemental logging curve corresponding to the target elemental composition; The final mineral composition content of the target formation is determined based on the well logging curves and the elemental logging curves. Based on the well logging curves of the target formation, determine the preliminary mineral composition content of the target formation, including: For logging data corresponding to different logging curves, determine a first expression using the content of different mineral components; Based on the first expression and the well logging data, determine the preliminary mineral composition content of the target formation; Based on the first expression and the well logging data, the preliminary mineral composition content of the target formation is determined, including: Calculate the difference between the first expression and the logging data, and determine the sum of squares of the differences corresponding to different logging data as the first error; Using the minimum first error as a constraint, the content of different mineral components is solved to obtain the preliminary mineral component content of the target stratum; Based on the well logging curves and the elemental logging curves, the final mineral composition content of the target formation is determined, including: For the elemental logging data corresponding to different elemental logging curves, a second expression is determined using the content of different mineral components; Based on the second expression, the elemental logging data, and the first error, the final mineral composition content of the target formation is determined. Based on the second expression, the elemental logging data, and the first error, the final mineral composition content of the target formation is determined, including: Calculate the difference between the second expression and the element logging data, and determine the sum of squares of the differences corresponding to different element logging data as the second error; Using the minimum sum of the first error and the second error as a constraint, the content of different mineral components is solved to obtain the final mineral component content of the target stratum; Based on the preliminary mineral component content and the theoretical mineral component content, target mineral components are selected from the mineral components, including: If the difference between the preliminary mineral component content and the theoretical mineral component content is greater than a preset threshold, then the mineral component is taken as the target mineral component.

2. The method according to claim 1, characterized in that, The method further includes: The logging curves of the target formation are preprocessed; the preprocessing includes at least one of outlier removal, curve splicing, depth correction, and wellbore environment correction. The quality of the pre-processed logging curves is evaluated by comparing them with the theoretical curves, and the logging curves are screened based on the quality evaluation results. Well logging curves are screened based on their sensitivity in distinguishing mineral components.

3. A mineral composition determining device, characterized in that, The device includes: The preliminary mineral composition content determination module is used to determine the preliminary mineral composition content of the target formation based on the well logging curves of the target formation. The target mineral component selection module is used to select target mineral components from the mineral components based on the preliminary mineral component content and the theoretical mineral component content; The elemental logging curve selection module is used to determine the target elemental composition of the target mineral component and select the elemental logging curve corresponding to the target elemental composition. The final mineral composition content determination module is used to determine the final mineral composition content of the target formation based on the well logging curve and the elemental logging curve. The preliminary mineral component content determination module includes: The first expression determination unit is used to determine a first expression in terms of the content of different mineral components for logging data corresponding to different logging curves. The preliminary mineral composition content determination unit is used to determine the preliminary mineral composition content of the target formation based on the first expression and the well logging data. The preliminary mineral component content determination unit includes: The first error determination subunit is used to calculate the difference between the first expression and the logging data, and to determine the sum of squares of the differences corresponding to different logging data as the first error; The preliminary mineral component content determination sub-unit is used to solve for the content of different mineral components with the first error being minimized as a constraint condition, so as to obtain the preliminary mineral component content of the target stratum. The final mineral component content determination module includes: The second expression determination unit determines a second expression using the content of different mineral components for the elemental logging data corresponding to different elemental logging curves. The final mineral composition content determination unit is used to determine the final mineral composition content of the target formation based on the second expression, the elemental logging data, and the first error. The final mineral component content determination unit includes: The second error determination subunit is used to calculate the difference between the second expression and the element logging data, and to determine the sum of squares of the differences corresponding to different element logging data as the second error; The final mineral component content determination subunit is used to solve for the content of different mineral components by using the minimum sum of the first error and the second error as a constraint condition, and obtain the final mineral component content of the target stratum. The target mineral component selection module includes: The target mineral component selection unit is used to select a mineral component as a target mineral component if the difference between the preliminary mineral component content and the theoretical mineral component content is greater than a preset threshold.

4. An electronic device, characterized in that, The device includes: At least one processor; and A memory communicatively connected to the at least one processor; wherein, The memory stores a computer program that is executed by the at least one processor to enable the at least one processor to perform the mineral composition determination method according to any one of claims 1-2.

5. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions that cause a processor to execute the mineral composition determination method according to any one of claims 1-2.

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