Mineral component determination method and device, electronic equipment and medium

Abstract

The embodiment of the invention discloses a mineral component determination method and device, electronic equipment and a medium. The method comprises the steps that according to a logging curve of a target stratum, the preliminary mineral component content of the target stratum is determined; selecting a target mineral component from the mineral components according to the preliminary mineral component content and the theoretical mineral component content; determining a target element component of the target mineral component, and selecting an element logging curve corresponding to the target element component; and determining the final mineral component content of the target stratum according to the logging curve and the element logging curve. According to the technical scheme, on the basis of the logging curve, the final mineral component content of the target stratum is determined by combining the element logging curve corresponding to the target element component of the target mineral component, and the accuracy of determining the mineral component content is improved.

Description

Technical Field

[0001] The present application relates to the field of oil and gas exploration, and in particular to a method, device, electronic equipment and medium for determining mineral components. Background Art

[0002] Compared with ordinary sandstone and carbonate rock, the mineral composition of marine-continental transitional shale formations is usually more complex, including quartz, feldspar, limestone, dolomite, illite, chlorite, montmorillonite, pyrite, mica and anhydrite, etc., plus non-mineral components such as kerogen and pore fluid (oil, gas and water), which increases the uncertainty of logging inversion results and makes it impossible to accurately determine the mineral composition of the formation. Summary of the invention

[0003] The present application provides a method, device, electronic equipment and medium for determining mineral components, which determines the final mineral component content of the target formation based on the logging curve and combines the element logging curve corresponding to the target element composition of the target mineral component, thereby improving the accuracy of the determination of the mineral component content.

[0004] According to one aspect of the present application, a method for determining mineral components is provided, the method comprising:

[0005] Determine the preliminary mineral component content of the target formation based on the well logging curve of the target formation;

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

[0007] Determine the target element composition of the target mineral component, and select the element logging curve corresponding to the target element composition;

[0008] The final mineral component content of the target formation is determined according to the well logging curve and the element logging curve.

[0009] According to another aspect of the present application, a device for determining mineral components is provided, the device comprising:

[0010] A preliminary mineral component content determination module is used to determine the preliminary mineral component content of the target formation according to the well logging curve of the target formation;

[0011] A target mineral component selection module, used 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 is used to determine the target element composition of the target mineral component and select the element logging curve corresponding to the target element composition;

[0013] The final mineral component content determination module is used 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 at least one processor; wherein,

[0017] The memory stores a computer program that can be executed by at least one processor. The computer program is executed by at least one processor so that the at least one processor can execute the mineral component determination method of any embodiment of the present application.

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

[0019] The technical solution of the embodiment 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; 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 embodiment of the present application improves the accuracy of the determination of the mineral component content by determining the final mineral component content of the target formation on the basis of the well logging curve and in combination with the element logging curve corresponding to the target element composition of the target mineral component.

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

[0021] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0022] Figure 1 is a flow chart of a method for determining mineral components provided according to Example 1 of the present application;

[0023] Figure 2 is a flow chart of a method for determining mineral components provided in Example 2 of the present application;

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

[0025] Figure 4 It is a structural schematic diagram of an electronic device that implements a method for determining a mineral component provided in Example 4 of the present application. DETAILED DESCRIPTION

[0026] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work 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", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, 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 "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0028] Embodiment 1

[0029] Figure 1 This is a flow chart of a method for determining mineral components provided in the first embodiment of the present application. The embodiment of the present application can be applied to the case of determining the mineral component content of a formation. The method can be executed by a mineral component determination device, which can be implemented in the form of hardware and / or software, and the mineral component determination device can be configured in an electronic device. Figure 1 As shown, the method includes:

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

[0031] Among them, the logging curve is the data graph obtained after the logging instrument measures in the underground wellbore. Different types of logging instruments will provide different logging curves. Common logging curves include natural gamma curves, resistivity curves, density curves, porosity curves, etc. Different logging curves can provide information on different aspects of the formation lithology, porosity, saturation, pressure, temperature, etc. By comprehensively analyzing different logging curves, more comprehensive geological information can be obtained. Mineral component content refers to the percentage of different minerals in geological samples or rocks.

[0032] In the embodiment of the present application, the preliminary mineral component content of the target formation can be determined by an inversion algorithm based on the well logging curve of the target formation. The inversion algorithm is a mathematical algorithm that infers unknown models or parameters through observation data, and can be applied to the scenario of deriving information such as formation properties, mineral composition or reservoir characteristics from well logging curve data.

[0033] S120. Select a target mineral component 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 the determination of the content of various minerals in the core sample based on the morphology, color, crystallographic characteristics, etc. of the minerals through microscopic observation and mineralogical analysis of the core sample.

[0035] In the embodiment of the present application, the target mineral component refers to a mineral component whose preliminary mineral component content differs greatly from 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 to select the target mineral component from the mineral components.

[0036] S130, determining the target element composition of the target mineral component, and selecting the element logging curve corresponding to the target element composition.

[0037] Among them, the elemental composition of mineral components refers to the content and chemical composition of various elements in the mineral. Different minerals have different elemental compositions due to their different crystal structures and compositions.

[0038] In the embodiments of the present application, the target element composition refers to the main element composition in the target mineral component. For example, if the main element composition of quartz is silicon, then the target element composition of quartz is silicon. If the main element composition of calcite is calcium, then the target element composition 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, its target element composition can be determined, and the element logging curve corresponding to the target element composition can be selected.

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

[0040] It should be noted that determining the mineral composition through logging curves is a qualitative or semi-quantitative method that relies on empirical models and understanding of geological characteristics. Therefore, in the embodiment of the present application, after selecting the element logging curve corresponding to the target element composition, it is necessary to combine the logging curve and the element logging curve corresponding to the target element composition 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 solution of the embodiment 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; 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 embodiment of the present application improves the accuracy of the determination of the mineral component content by determining the final mineral component content of the target formation on the basis of the well logging curve and in combination with the element logging curve corresponding to the target element composition of the target mineral component.

[0042] Embodiment 2

[0043] Figure 2 This is a flow chart of a method for determining mineral components provided in Example 2 of this application. This embodiment of this application is optimized based on the above embodiment. For solutions not described in detail in this embodiment of this application, please refer to the above embodiment. Figure 2 As shown, the method of the embodiment of the present application specifically includes the following steps:

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

[0045] It is understandable that due to changes in measurement equipment, measurement conditions and other factors, the original well logging curve of the target formation will inevitably be affected and deviate. At the same time, not all well logging curves can play a role in determining the content of mineral components.

[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 also includes: preprocessing the logging curve of the target formation; wherein the preprocessing includes at least one of outlier removal, curve splicing, depth correction and wellbore environment correction; comparing the preprocessed logging curve with the theoretical curve to perform quality evaluation, and screening the logging curve according to the quality evaluation result; and screening the logging curve according to the sensitivity of the screened logging curve for distinguishing mineral components.

[0047] Among them, the means of preprocessing the logging curve of the target formation include: 1. Outlier removal. In the logging data, there may be outliers or erroneous data points due to various reasons. Outlier removal is to remove outliers that may affect the accuracy of the data and the interpretation results through statistical analysis or threshold judgment 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 connect and correct the logging curves of adjacent sections to eliminate discontinuous or inconsistent parts and obtain consistent logging curve data. 3. Depth correction. Due to factors such as well depth error, telescopic effect and terrain changes 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 based on information such as well depth correction coefficient, well depth error curve or geological scale to obtain accurate formation depth. 4. Borehole environment correction. The physical quantities recorded by the logging curve are often affected by the borehole environment, such as porosity, drilling fluid, mud invasion, etc. The 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 present application, after the well logging curve of the target formation is preprocessed, it is also necessary to compare the preprocessed well logging curve with the theoretical curve for quality evaluation, and exclude the well logging curve with poor quality from the candidate curves. Finally, among the conventional well logging curves, well logging curves that are sensitive to mineral components are selected, such as compensated density curves, compensated neutron curves, longitudinal wave time difference curves, natural gamma curves, resistivity curves, etc. In this way, the data quality of the well logging curves and the efficiency of data processing can be improved.

[0049] After that, the mathematical relationship between the logging curve and the mineral component content can be established for the logging data corresponding to different logging curves, that is, the first expression f that represents the logging curve using the content of different mineral components can be determined. i , where i represents different logging curves.

[0050] For example, when the logging curves include a compensated density curve, a compensated neutron curve, a P-wave time difference curve, and a natural gamma curve, and the mineral components include quartz, calcite, clay, pyrite, kerogen, and fluid, the first expression f i The content is:

[0051]

[0052]

[0053]

[0054]

[0055]

[0056] Among them, DEN represents the compensation density, CNL represents the compensation neutron, DT represents the longitudinal wave time difference, GR represents the natural gamma, V and Indicates content, subscripts Si, Ca, Sh, Py, TOC, and f represent quartz, calcite, clay, pyrite, kerogen, and fluid, respectively. It can be understood that the last line in the above expression means that the sum of the contents of various mineral components is 1. The logging response parameter values ​​of various mineral components can be found in Table 1 below, and they are substituted into the first expression f i , a mathematical relationship between each logging curve and the content of mineral components can be established.

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

[0058]

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

[0060] In the embodiment of the present application, according to the first expression f determined in step S210 i As well as logging data, the objective function can be established and the preliminary mineral component content of the target formation can be determined using the optimized inversion algorithm.

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

[0062] It can be understood that the process of calculating the first error is the process of establishing the objective function, and the content of the objective function is Δf1=∑ i (f i -LOG i ) 2 , where Δf1 is the first error, f i For the first expression, LOG i is the logging data, and i represents different logging curves. With the minimum Δf1 as the constraint condition, the content of different mineral components can be solved and the preliminary mineral component content of the target formation can be obtained.

[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 used as a target mineral component.

[0064] In the embodiment of the present application, after determining the preliminary mineral component content of the target stratum, the preliminary mineral component content of the target stratum 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 means that the preliminary mineral component content is significantly different from the theoretical mineral component content, and the mineral component can be used as the target mineral component. The value of the preset threshold can be set according to actual conditions.

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

[0066] S250. Determine a second expression expressed by the contents of different mineral components for the element logging data corresponding to the different element logging curves.

[0067] In the embodiment of the present application, for the element logging data corresponding to different element logging curves, a mathematical relationship between the element logging curve and the mineral component content can be established, that is, a second expression f is determined to represent the element logging curve using the content of different mineral components. j , where j represents different element logging curves.

[0068] For example, when the element logging curves include a Ca curve and a Si curve, and the mineral components include quartz, calcite, clay, pyrite, kerogen, and fluid, the second expression f j The content is:

[0069]

[0070]

[0071]

[0072] Among them, Ca represents the Ca curve, Si represents the Si curve, V and represents the content, and the subscripts Qz, Car, Sh, Py, TOC, and f represent quartz, calcite, clay, pyrite, kerogen, and fluid, respectively. It can be understood that the last line in the above expression means that the sum of the contents of various mineral components is 1.

[0073] The element logging response parameter values ​​of various mineral components can be calculated based on the strata with known mineral components (such as coring depth or pure lithology section). For example, for calcite, a relatively pure limestone stratum is selected, and its element logging response parameter value is approximately used as the element logging response parameter value of calcite. At this time, the response values ​​of other components are 0. Similarly, the element logging response parameter value of quartz can be calculated. Substitute it into the above second expression f j , a mathematical relationship between the logging curves of each element and the content of mineral components can be established.

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

[0075] In the embodiment of the present application, according to the second expression f determined in step S250 i , element logging data and the first error Δf1 determined in step S220, a comprehensive objective function can be established, and the final mineral component content of the target formation can be determined 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 the squares of the differences corresponding to different element logging data as the second error; solving the contents of different mineral components with the minimum sum of the first error and the second error as the constraint condition 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 Δf2 = ∑ j (f j -XRF j ) 2 , then the sum of the first error and the second error Δf=Δf1+Δf2=∑ i (fi -LOG i ) 2 +∑ j (f j -XRF j ) 2 , where Δf is the sum of the first error and the second error, f i For the first expression, LOG i is the logging data, i represents different logging curves, f j For the second expression, XRF j is the element logging data, and j represents different element logging curves. With the minimum Δf as the 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 method for determining mineral components, which determines a first expression expressed by the content of different mineral components for logging data corresponding to different logging curves; determines the preliminary mineral component content of the target formation based on the first expression and the logging data; 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 used as the target mineral component; determines the target element composition of the target mineral component, and selects the element logging curve corresponding to the target element composition; determines a second expression expressed by the content of different mineral components for the element logging data corresponding to different element logging curves; determines the final mineral component content of the target formation based on the second expression, the element logging data, and the first error. The technical solution of the embodiment of the present application improves the accuracy of the determination of the mineral component content by determining the final mineral component content of the target formation on the basis of the logging curve and in combination with the element logging curve corresponding to the target element composition of the target mineral component.

[0079] Embodiment 3

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

[0081] A preliminary mineral component content determination module 310 is used to determine the preliminary mineral component content of the target formation according to the well logging curve of the target formation;

[0082] A target mineral component selection module 320 is used to select a target mineral component from the mineral components according to the preliminary mineral component content and the theoretical mineral component content;

[0083] An element logging curve selection module 330 is used to determine the target element composition of the target mineral component and select the element logging curve corresponding to the target element composition;

[0084] The final mineral component content determination module 340 is used to determine the 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 includes:

[0086] A first expression determination unit, used to determine a first expression expressed by the content of different mineral components for the well logging data corresponding to different well logging curves;

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

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

[0089] A first error determination subunit, used for calculating the difference between the first expression and the well logging data, and determining 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 used to solve the content of different mineral components with the first minimum error as a constraint condition to obtain the preliminary mineral component content of the target formation.

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

[0092] A second expression determination unit determines a second expression expressed by the content of different mineral components for the element logging data corresponding to the different element logging curves;

[0093] The final mineral component content determination unit is used 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 subunit is used to 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 a second error;

[0096] The final mineral component content determination subunit is used to solve the content of different mineral components with the minimum sum of the first error and the second error as a constraint condition to obtain the final mineral component content of the target formation.

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

[0098] The target mineral component selection unit is used to select the mineral component as the 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 device further comprises:

[0100] A preprocessing module, used for preprocessing the logging curve of the target formation; wherein the preprocessing includes at least one of outlier removal, curve splicing, depth correction and wellbore environment correction;

[0101] The first screening module is used to compare the pre-processed logging curve with the theoretical curve to perform quality evaluation, and screen the logging curve according to the quality evaluation result;

[0102] The second screening module is used to screen the well logging curves according to the sensitivity of the screened well logging curves for distinguishing mineral components.

[0103] A mineral component determination device provided in an embodiment of the present application can execute a mineral component determination method provided in any embodiment of the present application, and has functional modules and beneficial effects corresponding to the execution method.

[0104] Embodiment 4

[0105] Figure 4 A schematic diagram of an electronic device 10 that can be used to implement an embodiment of the present application is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workbenches, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present application described and / or required herein.

[0106] like Figure 4As shown, the electronic device 10 includes at least one processor 11, and a memory connected to the at least one processor 11, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc., wherein the memory stores a computer program that can be executed by at least one processor, and the processor 11 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or the computer program loaded from the storage unit 18 to the random access memory (RAM) 13. 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] A number of 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, speakers, etc.; a storage unit 18, such as a 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 may be a variety of general and / or special 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 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 executes the various methods and processes described above, such as a mineral component determination method.

[0109] In some embodiments, the mineral component determination method may be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as a storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed on 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 component determination method described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to perform the mineral component determination method in any other appropriate manner (e.g., by means of firmware).

[0110] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0111] The computer programs for implementing the methods of the present application may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer or other programmable mineral composition determination device, so that when the computer program is executed by the processor, the functions / operations specified in the flow chart and / or block diagram are implemented. The computer program may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0112] In the context of the present application, a computer readable storage medium may be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, device or equipment. A computer readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, a computer readable storage medium may be a machine readable signal medium. A more specific example of a machine readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0113] To provide interaction with a user, the systems and techniques described herein may 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 trackball) through which the user can provide input to the electronic device. Other types of devices may also be used to provide interaction with the user; for example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form (including acoustic input, voice input, or tactile input).

[0114] The systems and techniques described herein may be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may 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] A computing system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The client and server relationship is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may 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 difficult management and weak business scalability in traditional physical hosts and VPS services.

[0116] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps recorded in this application can be executed in parallel, sequentially or in different orders, as long as the information expected by the technical solution of this application can be achieved, and this document is not limited here.

[0117] The above specific implementations do not constitute a limitation on the protection scope of this application. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of this application should be included in the protection scope of this application.

Claims

1. A method for determining mineral components, characterized in that: The method comprises: Determine the preliminary mineral component content of the target formation based on the well logging curve of the target formation; Selecting a target mineral component from the mineral components according to the preliminary mineral component content and the theoretical mineral component content; Determine the target element composition of the target mineral component, and select the element logging curve corresponding to the target element composition; The final mineral component content of the target formation is determined according to the well logging curve and the element logging curve.

2. The method according to claim 1, characterized in that According to the well logging curve of the target formation, determine the preliminary mineral component content of the target formation, including: Determine a first expression expressed by the content of different mineral components for the well logging data corresponding to different well logging curves; The preliminary mineral component content of the target formation is determined based on the first expression and the logging data.

3. The method according to claim 2, characterized in that Determining the preliminary mineral component content of the target formation according to the first expression and the well logging data includes: Calculating the difference between the first expression and the well logging data, and determining the sum of squares of the differences corresponding to different well logging data as a first error; Taking the first minimum error as a constraint condition, the contents of different mineral components are solved to obtain the preliminary mineral component content of the target formation.

4. The method according to claim 3, characterized in that Determining the final mineral component content of the target formation according to the well logging curve and the element logging curve includes: Determine a second expression expressed by the content of different mineral components for the element logging data corresponding to the different element logging curves; The final mineral component content of the target formation is determined according to the second expression, the element logging data and the first error.

5. The method according to claim 4, characterized in that Determining the final mineral component content of the target formation according to the second expression, the element logging data and the first error includes: Calculating the difference between the second expression and the element logging data, and determining the sum of squares of the differences corresponding to different element logging data as a second error; Taking the minimum sum of the first error and the second error as a constraint condition, the contents of different mineral components are solved to obtain the final mineral component content of the target formation.

6. The method according to claim 1, characterized in that According to 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, the mineral component is taken as the target mineral component.

7. The method according to claim 1, characterized in that The method further comprises: Preprocessing the logging curve of the target formation; wherein the preprocessing includes at least one of outlier removal, curve splicing, depth correction and wellbore environment correction; Compare the pre-processed logging curve with the theoretical curve to conduct quality evaluation, and screen the logging curve according to the quality evaluation results; The well logging curves are screened according to their sensitivity in distinguishing mineral components.

8. A device for determining mineral composition, characterized in that: The device comprises: A preliminary mineral component content determination module is used to determine the preliminary mineral component content of the target formation according to the well logging curve of the target formation; A target mineral component selection module, used to select a target mineral component from the mineral components according to the preliminary mineral component content and the theoretical mineral component content; An element logging curve selection module is used to determine the target element composition of the target mineral component and select the element logging curve corresponding to the target element composition; The final mineral component content determination module is used to determine the final mineral component content of the target formation according to the well logging curve and the element logging curve.

9. An electronic device, characterized in that: The device comprises: at least one processor; and a memory communicatively connected to the at least one processor; wherein, 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 so that the at least one processor can perform the mineral component determination method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the mineral component determination method according to any one of claims 1 to 7 when executed.

Images