CN112112638B - Method and device for creating logging data analysis system - Google Patents

Abstract

The invention discloses a method for creating a logging data analysis system, comprising the following steps: acquiring configuration information for packaging a system application program; acquiring a task type, and determining an application program construction method and a packaging method which are suitable for the task type according to the function description and the task type; according to the configuration information, invoking firmware related to the application program interaction function in a firmware library, and associating the firmware with preset key operation of a system platform; creating an interactive interface of the system according to the configuration information; and encapsulating the system program according to the selected constructing and encapsulating method, and placing the encapsulated program into a system platform to complete the construction of the logging data analysis system. The invention realizes rapid construction and encapsulation of the logging data processing analysis program, the constructed data layer, algorithm layer and interaction layer are mutually independent, the construction mode is flexible and rapid, and the multiplexing of the system algorithm layer can be realized.

Description

Method and device for creating logging data analysis system

Technical Field

The invention relates to the technical field of petroleum and mineral exploration, in particular to a method and a device for creating a logging data analysis system.

Background

The well logging data processing and analysis are to process the well logging data by a computer according to the preset geological task, and to comprehensively analyze and explain the geological, logging and development data so as to solve the technical problems of stratum division, stratum parameter calculation, evaluation of oil and gas reservoirs and useful reservoirs and other geology and engineering in exploration and development, and to intuitively and vividly display the interpretation result in the form of a graph or a data table. It is the last and most important component in well logging, which directly represents the technical and economic benefits.

Logging data is typically recorded as a variety of different physical parameters, such as resistivity, natural potential, natural gamma, sonic velocity, rock bulk density, etc., collectively known as logging information. The results of well logging data processing and comprehensive interpretation, such as lithology (rock mineral composition), clay content, water saturation, oil and gas saturation, porosity, permeability, etc., can be collectively referred to as geological information. Determining the relationship between logging information and geologic information is the core of log data processing and comprehensive interpretation, and is typically accomplished by building an appropriate interpretation model. In the traditional method, the models are programmed by a computer to form independent programs for calculation and analysis, the same model or the same calculation method cannot be directly called among the programs, and the analysis programs need to be reconstructed.

At present, logging data processing and analyzing programs belong to a non-reconfigurable system architecture, and are mainly embodied in the following steps: the application work object is fixed, the function combination is fixed, and the function division is fixed. Wherein, the fixed work object refers to the application use is invariable, for example, intelligent is used for processing of specific logging project data; the function combination fixing means that the related processing steps and flow are basically determined, such as complex lithology analysis programs and the like; the function division is fixed, namely the same algorithm among all the processing programs cannot be directly called, and a new algorithm module needs to be reconstructed; the existing method mainly adopts a construction and packaging mode of data reading and writing and algorithm program packaging together, the construction method is complex, and the algorithm reusability is poor.

Today, with rapid development of computer technology, it is very difficult to implement a logging data processing analysis program based on such a non-reconfigurable architecture to be compatible with a plurality of logging data processing programs. If all techniques are integrated, the single application constructed would be too bulky; if the technology is dispersed into different applications, multiple application combinations are required to complete a task, which is complex and not easy to implement.

Disclosure of Invention

To solve the above technical problem, the present invention provides a method for creating a logging data analysis system, comprising: step one, acquiring configuration information of an application program for packaging the system, wherein the configuration information comprises function description of the application program and function parameter description of the application program on an interactive interface of the system; step two, acquiring a task type for creating the system, and determining an application program construction method and a corresponding encapsulation method which are suitable for the task type according to the function description and the task type; calling firmware related to the application program interaction function in a firmware library according to the configuration information, and associating the firmware with preset key operation of a system platform; step four, creating an interactive interface of the system according to the configuration information; and fifthly, encapsulating the system program according to the selected constructing and encapsulating method, and placing the encapsulated program into the system platform to complete the construction of the logging data analysis system.

Preferably, in the second step, the configuration information is parsed, and the current depth domain is determined according to the parsing result; and determining a depth domain object which is required to be processed currently by the system according to the acquired task type, and acquiring all depth point data in the depth data corresponding to the current logging data processing and attribute information corresponding to each depth point by combining the current depth domain so as to complete the construction of the application program processing object.

Preferably, further, when the current task type is a first type task, directly using the current depth domain preset in the primary system development process as input data of data encapsulation processing; when the current task type is a non-first type task, all depth point data and attribute information corresponding to each depth point contained in the current depth domain object are read from the analysis result of the configuration information, and the information is used as input data of current data encapsulation processing.

Preferably, the second step further includes: judging whether an algorithm corresponding to the current interaction function is a common logging data calculation method according to the analysis result of the configuration information, and determining a corresponding application program packaging method according to the judgment result, wherein the application program packaging method comprises a sequential packaging method and an independent packaging method, and when the algorithm corresponding to the current interaction function is the common logging data calculation method, the independent packaging method or the sequential packaging method is adopted as a packaging method developed by a current system; otherwise, the sequential packaging method is adopted as a packaging method developed by the current system.

Preferably, when the sequential packaging method is adopted, the fifth step includes: sequentially constructing packaging objects which comprise input data, algorithm auxiliary parameters, algorithms and output data and relate to the current interactive function algorithm; and packaging the current various packaging objects as a whole to obtain an overall packaging plug-in corresponding to the current interactive function algorithm, and completing sequential packaging of the logging data analysis system application program.

Preferably, when the stand-alone packaging method is adopted and the current creation task belongs to the initial development of the system, the step five includes: respectively constructing packaging objects which comprise input data, algorithm auxiliary parameters, algorithms and output data and relate to the current interactive function algorithm; and respectively and independently packaging the current various packaging objects as universal components, and combining various packaging results into a new packaging plug-in unit to complete independent packaging of the logging data analysis system application program.

Preferably, when the stand-alone packaging method is adopted and the current creation task belongs to secondary or subsequent development of the system, the fifth step includes: judging whether input data of the current interaction function, or algorithm auxiliary parameters, or algorithm or output data have the same type of encapsulation result or not in the previous development process according to the analysis result of the configuration information; if the logging data analysis system application program exists, the same type of encapsulation results are respectively retrieved from the corresponding encapsulation object database, the unessential encapsulation objects are constructed and encapsulated, and various encapsulation results are combined into a new encapsulation plug-in, so that the independent encapsulation of the logging data analysis system application program is completed.

Preferably, in the step of combining various types of packaging results into a new packaging plug-in, the method further comprises: and combining various packaging results related to the current interactive function algorithm into a new packaging plug-in a graphical form.

Preferably, before the first step, the method further includes: and creating the configuration information, wherein the function parameter description in the configuration information is used for describing an input curve description, an output curve description and a data analysis auxiliary parameter description of firmware related to the application program interaction function.

In another aspect, the present invention also provides an apparatus for creating a logging data analysis system, comprising: a configuration information acquisition module for acquiring configuration information of an application program for packaging the system, wherein the configuration information comprises a function description of the application program and a function parameter description of the application program on an interactive interface of the system; the encapsulation method determining module acquires a task type for creating the system, and determines an application program construction method and a corresponding encapsulation method which are suitable for the task type according to the function description and the task type; the key association module is used for calling firmware related to the application program interaction function in a firmware library according to the configuration information and associating the firmware with preset key operation of a system platform; the interface generation module is used for creating an interactive interface of the system according to the configuration information; and the system starting completion module encapsulates a system program according to the selected construction and encapsulation method, and places the encapsulated program into the system platform to complete the construction of the logging data analysis system.

One or more embodiments of the above-described solution may have the following advantages or benefits compared to the prior art:

The invention provides a method and a device for creating a logging data analysis system based on an assembled design. The invention can achieve the following effects: (1) Realizing rapid construction and encapsulation of logging data processing analysis programs; (2) The application program construction method can enable the data layer, the algorithm layer and the interaction layer to be independent, and the construction mode is flexible and quick; (3) The invention adopts an assembly mode, so that the system algorithm layer can realize multiplexing; (4) The application program construction method can be used for constructing and packaging other application programs of the data analysis processing system similar to logging data.

Additional advantages, objects, and features of the invention will be set forth in part in the description which follows and in part will become apparent to those having ordinary skill in the art upon examination of the following or may be learned from practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.

Drawings

The accompanying drawings are included to provide a further understanding of the invention, and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention, without limitation to the invention. In the drawings:

FIG. 1 is a step diagram of a method for creating a well log data analysis system in accordance with an embodiment of the present invention.

FIG. 2 is a flow chart of a sequential encapsulation method in a method for creating a log data analysis system according to an embodiment of the present invention.

FIG. 3 is a flow chart of a first embodiment of a freestanding packaging method for a method of creating a log data analysis system in accordance with an embodiment of the present invention.

FIG. 4 is a flow chart of a second embodiment of a freestanding packaging method for a method of creating a log data analysis system in accordance with an embodiment of the present invention.

FIG. 5 is a schematic diagram of the overall structure of an apparatus for creating a log data analysis system according to an embodiment of the present invention.

Detailed Description

The following will describe embodiments of the present invention in detail with reference to the drawings and examples, thereby solving the technical problems by applying technical means to the present invention, and realizing the technical effects can be fully understood and implemented accordingly. It should be noted that, as long as no conflict is formed, each embodiment of the present invention and each feature of each embodiment may be combined with each other, and the formed technical solutions are all within the protection scope of the present invention.

The well logging data processing and analysis are to process the well logging data by a computer according to the preset geological task, and to comprehensively analyze and explain the geological, logging and development data so as to solve the technical problems of stratum division, stratum parameter calculation, evaluation of oil and gas reservoirs and useful reservoirs and other geology and engineering in exploration and development, and to intuitively and vividly display the interpretation result in the form of a graph or a data table. It is the last and most important component in well logging, which directly represents the technical and economic benefits.

Logging data is typically recorded as a variety of different physical parameters, such as resistivity, natural potential, natural gamma, sonic velocity, rock bulk density, etc., collectively known as logging information. The results of well logging data processing and comprehensive interpretation, such as lithology (rock mineral composition), clay content, water saturation, oil and gas saturation, porosity, permeability, etc., can be collectively referred to as geological information. Determining the relationship between logging information and geologic information is the core of log data processing and comprehensive interpretation, and is typically accomplished by building an appropriate interpretation model. In the traditional method, the models are programmed by a computer to form independent programs for calculation and analysis, the same model or the same calculation method cannot be directly called among the programs, and the analysis programs need to be reconstructed.

At present, logging data processing and analyzing programs belong to a non-reconfigurable system architecture, and are mainly embodied in the following steps: the application work object is fixed, the function combination is fixed, the function division is fixed, and the like. The fixed working object means that the application purpose is not changeable, for example, the fixed working object can only be used for processing specific logging project data, and the processing of other logging project data cannot be universal and multiplexed; functional combination fixed refers to the basic determination of relevant processing steps and flows, such as: complex lithology analysis programs, etc.; the function division is fixed, namely the same algorithm among all the processing programs cannot be directly called, and a new algorithm module needs to be reconstructed; the existing method mainly adopts a construction and packaging mode of data reading and writing and algorithm program packaging together, the construction method is complex, and the algorithm reusability is poor.

Today, with rapid development of computer technology, it is very difficult to implement a logging data processing analysis program based on such a non-reconfigurable architecture to be compatible with a plurality of logging data processing programs. If all techniques are integrated, the single application constructed would be too bulky; if the technology is dispersed into different applications, multiple application combinations are required to complete a task, which is complex and not easy to implement.

In order to solve the technical problems, the invention provides a method and a device for creating a logging data analysis system. According to the method, according to the acquired configuration information for creating the logging data analysis system, a data content layer related to the operation function, an algorithm layer related to the system function algorithm and an interaction layer related to the interaction interface of the system are respectively built, so that the whole logging data analysis system is created and packaged. In addition, the invention can also determine whether to construct the logging analysis application program by using the acquired task type from the user by adopting an assembly method, and if so, the method can effectively realize multiplexing of the logging algorithm in different functional modules, reduce development workload, scale and complexity of the application analysis program and realize rapid construction of the logging processing analysis program.

Example 1

FIG. 1 is a step diagram of a method for creating a well log data analysis system in accordance with an embodiment of the present invention. As shown in fig. 1, step S110 obtains configuration information of an application program for packaging a logging data analysis system created by a user during the process of starting the application program after compiling the software. The configuration information comprises a functional description of the system application program and a functional parameter description of the system application program on an interactive interface of the logging data analysis system. Step S120 obtains a task type of creating a logging data analysis system from a user, determines a function required for creating the current system according to the current function description and the task type, and determines an application program construction method and a corresponding analysis program encapsulation method adapted to the task type. Step S130, according to the configuration information, invoking firmware related to the application program interaction function in the firmware library, and associating the related firmware with the preset key operation of the system platform. Step S140 creates an interactive interface of the logging data analysis system platform according to the configuration information. Step S150 is to encapsulate the program of the logging data analysis system according to the selected construction and encapsulation method in step S120, and to put the encapsulated program into the system platform to complete the construction of the logging data analysis system platform.

Specifically, in step S110, configuration information of an application program created by a user for building or packaging a logging data processing analysis system is acquired. The current configuration information comprises: the method comprises the steps of carrying out function description corresponding to one or more interactive functions contained in an application program which is required to be built at present and carrying out function parameter description of the current application program on an interactive interface of a system. It should be noted that, the function of configuration information refers to one or more interactive functions included in a logging data processing analysis system required by a user, and each interactive function is completed through one or more operations. The interactive functions in the logging data processing analysis system refer to information such as certain acoustic and electrical characteristics of the underground stratum calculated according to logging data, wherein the function descriptions refer to a set of feature descriptions of functions of each operation contained in each interactive function, namely a set of operation descriptions corresponding to each operation. For example: in calculating certain stratum characteristics, the method can be completed through a series of interactive operation combinations such as horizon attribute definition, horizon picking, horizon modification, horizon preservation, horizon loading, characteristic calculation and the like. Further, the above-described function parameter description includes, for the entire analysis system, an input curve description for the interactive function (including information about the data type, name, unit, etc. of the input curve), an output curve description for the interactive function (including information about the data type, name, unit, etc. of the output curve), and a description of auxiliary parameters corresponding to various data analysis operations included in the interactive function (i.e., a data analysis operation auxiliary parameter description including information about the data type, name, unit, default value, etc. corresponding to each auxiliary parameter).

In addition, before the configuration information of the logging data processing analysis system is obtained in the step S110, the method further includes the step S100 of creating configuration information of the interactive functions required for building the logging data processing analysis system. Further, the processing analysis capability of the logging data analysis system application is a user-defined logging data processing interaction function, or a combination of existing logging data processing functions. Because the configuration information for constructing the application program in the logging data processing analysis system is created by a user, the user can flexibly select and combine logging processing analysis interactive functions according to actual needs and development conditions of technologies (for example, newly developed technologies) when the configuration information is created, and determine various interactive operations involved in each interactive function, so that the framework of the constructed logging data processing analysis system can be adjusted according to specific different needs and is not fixed any more, and the flexibility of setting the framework of the logging data processing analysis program is improved, so that after the application program is started, application program firmware configuration is performed on the configuration information required for creating the application program according to the path described by the creation management file.

In practical applications, since the logging data is one-dimensional or multidimensional data based on a depth field (a downhole depth range), i.e., one depth field corresponds to one or more depth points, each depth point corresponds to one or more values of a certain attribute (e.g., a physical attribute). For example, an interactive function algorithm may be implemented by a certain class of attribute values. Wherein, when the depth point corresponds to a value of a certain attribute, the logging data is one-dimensional data based on the current depth domain; when the depth points correspond to multiple values of a property, the log data is multidimensional data based on the current depth field. Therefore, when the user needs to consider the system packaging mode, the flexibility, applicability, universality and reusability of the logging data processing method are mainly considered, the above advantage property on the basis of the primary development platform of the system is considered, the above advantage property of the secondary development tool provided on the basis of the system platform is considered, the user can conveniently deploy different logging data processing analysis systems, and the development efficiency is improved. The method is particularly required to realize the rapid secondary development of the logging data processing analysis system based on the determined encapsulation method, is compatible with the transplantation of the original logging data processing analysis system on a new platform, and can realize simple encapsulation of the general content in the original logging data processing analysis system and the general content in the new processing analysis, thereby realizing the combination of the analysis system into the newly developed analysis system, improving the encapsulation result and the reusability of the analysis system, and simplifying the development mode and the workload.

After the configuration information is acquired, the process proceeds to step S120. When the application is started, step S121 needs to use the application interface creator to read the configuration information given by the user, parse the configuration information, and parse the interactive functions required by the task of the logging data analysis system and the operations involved in the interactive functions, so as to obtain the requirements of the logging data analysis functions required by the system. Further, according to the analysis result of the configuration information, the depth range of the depth domain (i.e. the approximate depth range where the logging data to be processed is located) that the system needs to process currently is determined, and then step S122 is performed.

Step S122 obtains the task type from the user, and determines the creation method of the application function and the corresponding analysis program encapsulation method corresponding to the current task according to the task type input by the current user and the analysis result. The task type may be configured in the configuration information created by the user, or may be independent of the configuration information, which is not particularly limited in the present invention, and may be set by those skilled in the art according to actual needs. Specifically, firstly, after determining a current depth domain, determining a depth domain object processed by current logging data according to the acquired task type based on the current depth domain; and then, acquiring all depth point data in the depth data corresponding to the logging data processing object and attribute information corresponding to each depth point so as to complete the construction of the application program processing object. The task type is selected from one of a first type of task which characterizes only the current depth domain as a current data processing object, a second type of task which characterizes the upper layer depth of the current depth domain and the current data processing object, a third type of task which characterizes the lower layer depth of the current depth domain and the current data processing object, and a fourth type of task which characterizes all the depth domains under the well as the current data processing object. The attribute information here is the data content of the input data required to perform a certain interactive function.

Further, when determining the depth field object of the current logging data processing, a to-be-processed depth field corresponding to the processing object (compared with the current depth field) of the current depth field needs to be determined according to the (approximate) depth field of the current depth field and the task type. For example: if the current task type is the second type, the current depth range to be processed is a rough depth range which is smaller than the current depth range by one depth level.

Further, since the construction process of the logging data processing analysis system in the embodiment of the invention is also applicable to a quick secondary development occasion based on the primary construction of the system, when the current task type is the first type of task, the data (including all depth point data in the current depth data and attribute information corresponding to each depth point) about the current depth domain is selected from the following input databases stored in advance in the primary system development process and used as the input data for the development of the data encapsulation processing system, so that the attribute information in the current depth domain is analyzed and processed point by point in the subsequent encapsulation process. Under the condition, the data quantity of depth point data in the depth data in the logging data is large, so that in the secondary development occasion of the system, the input data needing to be packaged is not required to be read again, the corresponding packaging method can be directly determined according to the task type, the purposes of multiplexing the data and improving the construction efficiency of the system are achieved, and the secondary development occasion of the system is facilitated. And then when the subsequent logging data of the current depth domain is packaged, all depth points in the current depth domain are needed to be calculated point by point to obtain attribute results corresponding to the corresponding interaction functions.

In addition, when the current task type is a non-first type task, namely the current task type is a second type task, a third type task or a fourth type task, all depth point data and attribute information corresponding to each depth point contained in the current depth domain object are read from the analysis result of the configuration information, and the information is used as input data of current data encapsulation processing so as to analyze and process the attribute information in the current depth domain object point by point in the subsequent encapsulation process. Furthermore, for all depth field data of the upper and lower depth fields or the underground, before the logging data analysis processing system is packaged, all depth field data are required to be read in, specifically, the depth point of each depth field and the corresponding attribute information of the depth point are read, and then the subsequent data packaging processing is performed. Therefore, according to the requirements of different system development occasions, different packaging methods need to be considered, so that flexible packaging is realized.

In addition, in the process of reading the depth data related to the task other than the first type in the step S122, the method further includes identifying the currently read depth data, and determining whether the read depth data matches the range of the depth field object (i.e. the depth range to be processed). If so, the process proceeds to the subsequent step S123. If not, generating error reporting information containing depth data reading errors (for example, if the current task type is the second type, but the read depth data is data of all underground depths, judging the depth data reading errors, and indicating the current depth data input errors or the task type input errors) so as to verify the data reading process.

Further, after the completion of the reading process of the depth input data, the process proceeds to step S123. Step S123 judges whether the algorithm corresponding to the current interactive function is a common logging data calculation method according to the analysis result of the configuration information obtained in the step S121, and determines a corresponding application program encapsulation method according to the judgment result. For example, common well logging data calculation methods include: summing algorithm, difference algorithm, linear algorithm, square algorithm, saturation calculation, porosity calculation, clay content calculation, permeability calculation and the like; the common well log data calculation method refers to algorithms that are not commonly used or used very infrequently in analysis with respect to other types of data (non-well log data) for well log data, such as: and converting the nuclear magnetic resonance logging time domain data into depth domain data. The application program packaging method in the embodiment of the invention comprises the following steps: the following sequential encapsulation method and the following freestanding encapsulation method.

Specifically, in one embodiment, generally, for a conventional logging data calculation method, when an interactive function algorithm is packaged for such an algorithm, in order to improve packaging efficiency and flexibility, input data for a current depth domain object, auxiliary parameters, algorithm function expression and output data for the current depth domain object, which are required to be used in a packaging process for the same interactive function, are respectively selected from corresponding packaging objects, packaging is respectively performed, and packaging results of different types of packaging objects are flexibly combined to obtain a plug-in unit required for the current interactive function. Therefore, when the algorithm corresponding to the current interaction function is a common logging data calculation method, the following independent packaging method or a sequential packaging method can be adopted as the packaging method for current program development, and the independent packaging method is preferably adopted, so that the reusability of various packaging results is improved.

In another embodiment, for a very useful logging data calculation method, in order to improve the packaging efficiency when performing interactive function packaging on the algorithm, the flexibility of the packaging process can be properly reduced, and the interactive function with the specific algorithm is packaged as an integral component, so that when the same type of algorithm is packaged again, the built integral plug-in is directly called, thereby improving the system packaging efficiency. Specifically, when the algorithm corresponding to the current interactive function is a very-used logging data calculation method, a sequential encapsulation method is adopted as an encapsulation method for current program development.

After determining the application program construction and encapsulation method matching the current task, the process proceeds to step S130. Step S130 creates a firmware library that matches the interactive function of the current task. Specifically, according to the function description (interaction function requirement) in the configuration information analyzed in the step S120, firmware corresponding to each type of operation specified in the logging data processing analysis system application program function is called, and each firmware representing the operation function is connected with a preset specified key operation of the system platform in a hanging manner through a firmware manager, so that the reconstruction of the application program interaction function, that is, the construction of the system data layer, is completed, and the step S140 is entered. The firmware is a function for completing operation processing analysis required by the interaction function; the preset key operation is used for starting firmware corresponding to various operations in the interactive function or maintaining firmware corresponding to system communication; firmware stores the firmware needed to complete this logging data processing analysis interaction function. It should be noted that, in the existing application program construction technology, the creation of the firmware, the firmware manager, the preset key associated with the firmware, the firmware library storage, and the like is already a mature technology, and therefore, the description thereof will not be repeated here.

Step S140, utilizing the analysis result (interaction function requirement) of the configuration information obtained in step S120, can obtain various operations of the interaction function required by the logging data analysis system application program, thereby obtaining the layout condition of the current system application program on the interaction interface; based on the layout, on the basis of associating the firmware for each operation in the interactive function, an interactive interface of the logging data analysis system is created, so that the construction of the system interaction layer is completed, and the process proceeds to step S150. The constructed system interactive interface is the interactive interface after the firmware association and the system layout recognition are completed, so that the construction of the logging data analysis function is completed, and the corresponding function or operation of the logging data analysis system is started through a preset key or calling operation. It should be noted that, in the existing application program construction technology, the content related to the application program interaction layer construction is already a mature technology, so that a detailed description is omitted here.

Step S150 encapsulates the logging data processing analysis program according to the system function construction method and the corresponding program encapsulation method determined in the step S120, completes the assembly construction of the corresponding system algorithm layer, takes the constructed encapsulation program as an insert, and places the insert into the system platform obtained in the step S140, thereby completing the creation process of the whole logging data analysis system, namely completing the starting of the application program. It should be noted that, in the existing application program construction technology, the content of the packaged plug-in unit placed in the system platform is already a mature technology, so that a detailed description is omitted here. The following describes in detail the encapsulation process for creating a logging data analysis system in an embodiment of the present invention in connection with the methods shown in fig. 1-4.

Specifically, for the packaging process of each interactive function, the combination of four types of packaging objects, namely input data, algorithm auxiliary parameters, algorithms and output data, needs to be packaged (independent or integral), so as to obtain the final creation result of the algorithm corresponding to the interactive function. In the system creation background, a database for each kind of package object is preset. The input database stores encapsulated input data (for each interactive function) during each development of the system, wherein the encapsulated input data is an encapsulation result of attribute values corresponding to each depth point in the depth domain object for each interactive function processed during each system development. The auxiliary parameter library stores the encapsulated results of the auxiliary parameters related to each interactive function algorithm, which are encapsulated in each development process of the system. The algorithm library stores the encapsulated results of each interactive function algorithm encapsulated in each development process of the system. The output database stores the encapsulation result of the output data which is calculated and encapsulated according to the related interactive function algorithm in each development process of the system, wherein the encapsulated output data is the encapsulation result of the calculation result which is obtained according to the related interactive function algorithm and is based on the same depth point attribute data corresponding to each depth point in the processed depth domain object aiming at each interactive function in each development process of the system. The various databases can be used as selection bases when various packaging objects are called and combined as required in the secondary or subsequent development process of the system, so that the secondary creation process of the system with high flexibility, high efficiency and high reusability is completed.

FIG. 2 is a flow chart of a sequential encapsulation method in a method for creating a log data analysis system according to an embodiment of the present invention. The sequential encapsulation method is mainly implemented by steps S201 to S205 for a very general logging analysis algorithm, as shown in fig. 2, and it is necessary to sequentially construct four types of encapsulation objects including input data, algorithm auxiliary parameters, algorithms and output data related to the current interactive function algorithm, encapsulate the current four types of encapsulation objects as a whole, and obtain an integral encapsulation plug-in unit including the four types of encapsulation objects, thereby implementing sequential encapsulation of the logging data analysis system application program.

Specifically, first, step S201 acquires the input data obtained in step S122 described above, and takes it as a first sequence result.

Then, since the sequential packaging method is mainly aimed at the logging analysis algorithm of the very general type, step S202 needs to determine the auxiliary parameters related to the algorithm corresponding to the current interactive function according to the analysis result of the configuration information, so as to obtain a second sequential result related to the auxiliary parameters of the algorithm of the current interactive function. The auxiliary parameters are parameters of coefficients, experience parameters and the like commonly used in a logging analysis method (particularly for one or more interactions). For example, for a commonly used linear algorithm, y=ax+b, if x represents an attribute value (input data) corresponding to the current depth domain and y represents a calculation result (output data) corresponding to the current depth domain, then a and b represent auxiliary parameters related to the linear algorithm.

Then, step S203 needs to determine an algorithm corresponding to the current interactive function according to the analysis result of the configuration information, and create a functional expression (the functional expression is expressed as a calculation method in each step of the process included in the interactive function algorithm) for the current algorithm according to the function description information and the function parameter description information about the current interactive function, so as to obtain a third sequence result about the functional expression of the current interactive function algorithm.

Next, step S204 uses the functional expression of the current interactive function algorithm to calculate the interactive function calculation result corresponding to each depth point by point based on the input data including the attribute value corresponding to each depth point in the current depth field object, so as to obtain the output data including the interactive function calculation result corresponding to each depth point in the current depth field object, i.e. the fourth order result.

Finally, step S205 encapsulates the first order result, the second order result, the third order result and the fourth order result as a whole into an encapsulation result of a specific type of interactive function related to the current interactive function algorithm, so as to place the current whole encapsulation plug-in the system platform, and store the encapsulation plug-in the specific interactive function algorithm library of the system background, so as to store the encapsulation plug-in as a function or a type related to the specific interactive function in the secondary or subsequent development process of the platform, thereby facilitating the call in the subsequent development of the system.

It should be noted that, the above-mentioned proprietary interactive function algorithm library is used for storing the packaged result packaged by logging analysis algorithm for very common class, and the result can be packaged and stored in the form of function or class, etc., and the form of the packaged result is not specifically described in the present invention, and those skilled in the art can select according to actual requirements.

FIG. 3 is a flow chart of a first embodiment of a freestanding packaging method for a method of creating a log data analysis system in accordance with an embodiment of the present invention. The independent packaging method is mainly aimed at a logging analysis algorithm of a common type, as shown in fig. 3, when a current system creation task belongs to a system primary development process, the independent packaging method is completed through the following steps S301 to S305, four types of packaging objects including input data, algorithm auxiliary parameters, algorithms and output data related to a current interactive function algorithm are required to be respectively constructed, the four types of packaging objects are respectively and independently packaged as a general component, various packaging results are combined into a new packaging plug-in, independent packaging of an application program of the logging data analysis system is completed, and then various packaging results are classified and stored.

Specifically, first, step S301 obtains the input data obtained in step S122, and encapsulates the input data of the algorithm, that is, encapsulates all attribute values corresponding to the current depth domain object, to obtain a first independent result related to the encapsulated result of the input data of the current interactive function algorithm. In addition, the current first independent result is required to be stored in the input database, and is used as a basis for calling the packaging result of the same input attribute of the same depth domain object corresponding to the same kind of algorithm in the subsequent development process.

Then, since the independent packaging method is mainly aimed at the logging analysis algorithm of the general class, step S302 needs to determine the auxiliary parameters related to the algorithm corresponding to the current interactive function according to the analysis result of the configuration information, and package the auxiliary parameters related to the algorithm to obtain a second independent result related to the packaging result of the auxiliary parameters of the current (such) interactive function algorithm. In addition, the current second independent result is also required to be stored in the auxiliary parameter library and used as a basis for calling the packaging result of the same auxiliary parameter corresponding to the same kind of algorithm in the subsequent development process.

Then, step S303 needs to determine an algorithm corresponding to the current interactive function according to the analysis result of the configuration information, and create a functional expression for the current algorithm according to the function description information and the function parameter description information about the current interactive function, and encapsulate the functional expression of the algorithm to obtain a third independent result about the functional expression encapsulation result of the current interactive function algorithm. In addition, the current third independent result is also required to be stored in the algorithm library, and is used as a basis for calling the encapsulation result of the algorithm function expression of the same kind of algorithm in the subsequent development process.

Step S304 is then based on the input data including the attribute value corresponding to each depth point in the current depth domain object, and the interactive function calculation result corresponding to each depth point is calculated point by utilizing the functional expression of the current interactive function algorithm, so as to obtain the output data including the interactive function calculation result corresponding to each depth point in the current depth domain object, and the output data of the algorithm is packaged, namely, the calculation result values corresponding to all depth points in the current depth domain object are packaged, so as to obtain a fourth independent result related to the output data packaging result of the current interactive function algorithm. In addition, the current fourth independent result needs to be stored in the output database as a basis when the packaging result of the same depth domain object calculation result corresponding to the same kind of algorithm is called in the subsequent development process.

Finally, step S305 combines the first independent result, the second independent result, the third independent result and the fourth independent result to obtain a new packaged package plug-in for the current interactive function algorithm, thereby completing independent packaging of the logging data analysis system application program, so as to use the packaging results in the input database, the auxiliary parameter database, the algorithm database and the output database under the same condition at any time according to the requirement in subsequent development of the system, and perform on-demand combination, thereby obtaining a new packaged package plug-in, improving reusability of various packaging results, simplifying the packaging process of the subsequent development process, and improving the packaging efficiency.

It should be noted that, the above-mentioned encapsulation result may be encapsulated and stored in the form of a function, a class, or a dynamic library, etc., and the invention does not specifically describe the form of the encapsulation result, and those skilled in the art may set the encapsulation result according to actual needs.

FIG. 4 is a flow chart of a second embodiment of a freestanding packaging method for a method of creating a log data analysis system in accordance with an embodiment of the present invention. The independent packaging method is mainly aimed at a logging analysis algorithm of a common type, and as shown in fig. 4, when the current system creation task belongs to a system secondary or subsequent development process, the independent packaging method can also be completed through the following steps S401 to S404. Specifically, first, step S401 needs to determine, according to the analysis result of the configuration information, whether the package result having the same content as the input data, or the algorithm auxiliary parameter, or the algorithm, or the output data of the current interactive function has been created in the previous development process.

It should be noted that when judging whether the encapsulation result with the same type as the input data of the current interactive function is created, it is necessary to judge whether the encapsulation result with the same depth domain object and the same attribute parameter type as the input data of the current interactive function exists in the current input database, if so, the encapsulation result with the same type is created, and the encapsulation result with the same type can be directly retrieved from the input database (without re-encapsulation); otherwise, it has not been created, so that it is necessary to create and package according to the method described in step S301 above. When judging whether the encapsulation results with the same type as the algorithm auxiliary parameters of the current interactive function are created or not, judging whether the encapsulation results with the same type as all the algorithm auxiliary parameters included by the current interactive function exist in the current auxiliary parameter library or not, if so, the encapsulation results with the same type are created, and the encapsulation results with the same type can be directly called from the auxiliary parameter library (encapsulation is not needed again); otherwise, it has not been created, so that it is necessary to create and package as described in the above step S302. When judging whether the encapsulation results with the same type as the algorithms of the current interactive functions are created or not, judging whether all the contained encapsulation results with the same algorithm functions (for example, the same certain characteristic results are calculated, specifically, the same method for calculating the same certain characteristic results) corresponding to the current interactive functions exist in the current algorithm library or not, if so, the encapsulation results with the same type are created, and the encapsulation results with the same type can be directly called from the algorithm library (encapsulation is not needed to be carried out again); otherwise, it has not been created, so that it is necessary to create and package as described in the above step S303. When judging whether the encapsulation results with the same type as the output data of the current interactive function are created or not, judging whether the encapsulation results with the same depth domain object and the same calculation result parameter type as the output data of the current interactive function exist in the current output database or not, if so, the encapsulation results with the same type are created, and the encapsulation results with the same type can be directly called from the output database (encapsulation is not needed again); otherwise, it is not created, so that it is necessary to create and package according to the method described in step S304 above.

Further, if there are encapsulation results that have been created and have the same content as one or more encapsulation objects of the current interactive function, the method proceeds to step S402, where encapsulation results of encapsulation objects of the same type are respectively retrieved from the corresponding database, and each type of encapsulation object that is not created is constructed and encapsulated, so as to obtain encapsulation results corresponding to the encapsulation objects that are not created, thereby obtaining encapsulation results of all types of encapsulation objects related to the current interactive function, and then proceeds to step S404. Step S404 is the same as the method described in step S305 above, and combines the various packaging results related to the current interactive function algorithm into a new packaging plug-in, thereby completing the independent packaging of the logging data analysis system application program.

Further, if there is no encapsulation result having the same content as all the encapsulation object types in the current interactive function, which has not been created in the previous development process, the process proceeds to step S403, and the encapsulation result (first independent result) of the input data regarding the current interactive function algorithm, the encapsulation result (second independent result) of the algorithm auxiliary parameter regarding the current interactive function algorithm, the encapsulation result (third independent result) regarding the current interactive function algorithm, and the encapsulation result (fourth independent result) of the output data regarding the current interactive function algorithm are respectively constructed by the methods in steps S301 to S304, respectively, so that the process proceeds to step S404.

As can be seen from the above description of the process of the second embodiment of the independent packaging method, the packaging results of the different packaging object types and the different packaging object contents in the same packaging type after the above construction are relatively independent, so that the packaging results can be invoked by the packaging process where the packaging results in other functions, classes, dynamic libraries and the like are located.

In addition, various packaging results of each interaction function constructed by the invention can be directly combined into a new interaction function application packaging plug-in for the logging data processing analysis system in a visual mode by using a platform tool, so that the system creation efficiency and the flexibility are greatly improved.

In this way, the above technical solution selects the system construction and encapsulation method according with the current task type through step S120, and respectively completes the association construction of the system function data content through step S130, the construction of the system interaction layer through step S140, and the construction of the system algorithm layer through step S150, so that the method for creating the logging data analysis system according to the embodiment of the present invention not only can realize the rapid construction and encapsulation of the logging data processing analysis application program, but also can enable the system data layer, the algorithm layer and the interaction layer to be mutually independent on the basis of the effect, and the construction is rapid. Particularly, the flexibility, reusability, rapidity and the like of the secondary or subsequent development process of the system are greatly improved.

Example two

The invention also provides a method for operating the logging data analysis system constructed based on the method in the first embodiment. The method comprises the following steps: the method comprises the steps of firstly, displaying an interactive interface of an application program of a logging data processing and analyzing system, wherein interactive functions with different interactive operations are distributed on the interactive interface of the logging data processing and analyzing system. And step two, receiving the corresponding operation instruction related to the preset key operation, and starting the firmware which is matched with the key association corresponding to the current operation instruction in the interactive function. And thirdly, after the current firmware is started, searching the data required by the firmware from the designated data stack through the current stack pointer, feeding back the pointer of the required data to the current firmware, and if the data required by the firmware is not found, entering a fourth step. Wherein the data stacks are used to store paths and pointers for the loaded data and the current stack pointer points to the currently used one of the data stacks. And step four, if the data required by the firmware is not found in the appointed data stack through the current stack pointer, loading the data required by the firmware into the currently used data stack from the outside of the system, and feeding back the pointer of the required data to the current firmware.

Example III

Based on the method for creating the logging data analysis system, the invention also provides a device for creating the logging data analysis system. FIG. 5 is a schematic diagram of the overall structure of an apparatus for creating a log data analysis system according to an embodiment of the present invention. As shown in fig. 5, the apparatus of the present invention includes: a configuration information acquisition module 51, a packaging method determination module 52, a key association module 53, an interface generation module 54, and a system start-up completion module 55.

The configuration information obtaining module 51 is implemented according to the method described in step S110, and is configured to obtain configuration information of an application program for packaging the system, where the configuration information includes a function description of the application program and a function parameter description of the application program on an interactive interface of the system. The encapsulation method determining module 52 is implemented according to the method described in the above step S120, and is configured to obtain the task type of the creation system, and determine, according to the function description and the task type, an application program construction method and a corresponding program encapsulation method that are adapted to the task type. The key association module 53 is implemented according to the method described in step S130, and is configured to invoke the firmware related to the application interaction function in the firmware library according to the configuration information, and associate the firmware with the preset key operation of the system platform. The interface generation module 54 is configured to create an interactive interface of the logging data analysis system according to the configuration information, according to the method described in step S140. The system start-up completion module 55 is implemented according to the method described in step S150, and is configured to encapsulate the program of the logging data analysis system according to the selected construction and encapsulation method, and place the encapsulated program into the system platform to complete the construction of the logging data analysis system.

The invention provides a method and a device for creating a logging data analysis system, wherein the method and the system comprise the following steps: acquiring configuration information which is created by a user and is used for constructing or packaging a logging data processing analysis program, wherein a configuration information piece comprises a function description and a function parameter description of the program; selecting different construction and encapsulation modes according to task function description and task types; establishing a firmware library required by the current system, associating with preset key operation of a system platform according to the function description, wherein the preset key operation is used for starting related operation functions or maintaining system communication; and according to the selected interactive function construction and packaging method, packaging the logging data processing analysis program, and placing the packaging result into a system platform. The invention can create the configuration file according to the characteristics of the logging data, the function type, the task requirement and the development condition of the technology, so that the constructed and packaged logging data processing analysis program can be adjusted according to specific different requirements. Furthermore, the construction and encapsulation method of the logging data processing analysis program adopted by the invention is based on the assembly design, and has the following advantages: (1) Realizing rapid construction and encapsulation of logging data processing analysis programs; (2) The data layer, the algorithm layer and the interaction layer are mutually independent in the technology of the effect (1), and the construction mode is flexible and quick; (3) Based on the effect (2), the system algorithm layer can realize multiplexing in an assembled mode; (4) Based on the effect (3), the method can be used for constructing and packaging other similar data processing analysis programs.

It will be apparent to those skilled in the art that the modules or steps of the embodiments of the invention described above may be implemented in a general purpose computing device, they may be concentrated on a single computing device, or distributed across a network of computing devices, they may alternatively be implemented in program code executable by computing devices, so that they may be stored in a storage device for execution by computing devices, and in some cases, the steps shown or described may be performed in a different order than what is shown or described, or they may be separately fabricated into individual integrated circuit modules, or a plurality of modules or steps in them may be fabricated into a single integrated circuit module. Thus, embodiments of the invention are not limited to any specific combination of hardware and software.

The present invention is not limited to the above-mentioned embodiments, and any changes or substitutions that can be easily understood by those skilled in the art within the scope of the present invention are intended to be included in the scope of the present invention. Therefore, the protection scope of the present invention should be subject to the protection scope of the claims.

Claims (7)

1. A method for creating a logging data analysis system, comprising:

Step one, acquiring configuration information of an application program for packaging the system, wherein the configuration information comprises function descriptions of the application program and function parameter descriptions of the application program on an interactive interface of the system, and the function descriptions refer to a set of feature descriptions of functions of each operation contained in each interactive function;

Step two, acquiring a task type for creating the system, and determining an application program construction method and a corresponding packaging method which are suitable for the task type according to the function description and the task type, wherein the task type is selected from one of a first type task for representing only a current depth domain as a current data processing object, a second type task for representing the upper layer depth of the current depth domain and the current data processing object, a third type task for representing the lower layer depth of the current depth domain and the current data processing object, and a fourth type task for representing all underground depth domains as the current data processing object;

Calling firmware related to the application program interaction function in a firmware library according to the configuration information, and associating the firmware with preset key operation of a system platform;

step four, creating an interactive interface of the system according to the configuration information;

step five, according to the selected construction and encapsulation method, encapsulating a system program, and placing the encapsulated program into the system platform to complete construction of a logging data analysis system, wherein the step two comprises:

Analyzing the configuration information, and determining a current depth domain according to an analysis result;

Determining a depth domain object which is required to be processed currently by the system according to the acquired task type, acquiring all depth point data in depth data corresponding to current logging data processing and attribute information corresponding to each depth point by combining the current depth domain to complete construction of an application program processing object,

When the current task type is a first type task, directly utilizing the current depth domain preset in the primary system development process as input data of data encapsulation processing;

When the current task type is a non-first type task, reading all depth point data and attribute information corresponding to each depth point contained in the current depth domain object from an analysis result of the configuration information, and taking the information as input data of current data encapsulation processing, wherein the second step further comprises:

Judging whether an algorithm corresponding to the current interactive function is a common logging data calculation method according to the analysis result of the configuration information, and determining a corresponding application program packaging method according to the judgment result, wherein the application program packaging method comprises a sequential packaging method and an independent packaging method,

When the algorithm corresponding to the current interaction function is a common logging data calculation method, adopting the independent packaging method or the sequential packaging method as a packaging method developed by the current system;

otherwise, the sequential packaging method is adopted as a packaging method developed by the current system.

2. The method of claim 1, wherein when the sequential encapsulation method is employed, the fifth step comprises:

Sequentially constructing packaging objects which comprise input data, algorithm auxiliary parameters, algorithms and output data and relate to the current interactive function algorithm;

And packaging the current various packaging objects as a whole to obtain an overall packaging plug-in corresponding to the current interactive function algorithm, and completing sequential packaging of the logging data analysis system application program.

3. The method according to claim 1 or 2, wherein when the freestanding encapsulation method is employed and the current creation task belongs to the initial development of the system, the step five comprises:

respectively constructing packaging objects which comprise input data, algorithm auxiliary parameters, algorithms and output data and relate to the current interactive function algorithm;

and respectively and independently packaging the current various packaging objects as universal components, and combining various packaging results into a new packaging plug-in unit to complete independent packaging of the logging data analysis system application program.

4. The method according to claim 1 or 2, wherein when the freestanding encapsulation method is employed and the current creation task belongs to a system secondary or subsequent development, the step five comprises:

Judging whether input data of the current interaction function, or algorithm auxiliary parameters, or algorithm or output data have the same type of encapsulation result or not in the previous development process according to the analysis result of the configuration information;

If the logging data analysis system application program exists, the same type of encapsulation results are respectively retrieved from the corresponding encapsulation object database, the unessential encapsulation objects are constructed and encapsulated, and various encapsulation results are combined into a new encapsulation plug-in, so that the independent encapsulation of the logging data analysis system application program is completed.

5. The method of claim 4, wherein in the step of combining the various types of package results into a new package insert, further,

And combining various packaging results related to the current interactive function algorithm into a new packaging plug-in a graphical form.

6. The method according to claim 1 or 2, further comprising, prior to said step one:

and creating the configuration information, wherein the function parameter description in the configuration information is used for describing an input curve description, an output curve description and a data analysis auxiliary parameter description of firmware related to the application program interaction function.

7. An apparatus for creating a logging data analysis system, comprising:

A configuration information acquisition module for acquiring configuration information of an application program for packaging the system, wherein the configuration information comprises function descriptions of the application program and function parameter descriptions of the application program on an interactive interface of the system, and the function descriptions refer to a set of feature descriptions of functions of each operation contained in each interactive function;

The packaging method determining module is used for acquiring a task type for creating the system, determining an application program construction method and a corresponding packaging method which are suitable for the task type according to the function description and the task type, wherein the task type is selected from one of a first type of task for representing only a current depth domain as a current data processing object, a second type of task for representing the upper layer depth of the current depth domain and the current data processing object, a third type of task for representing the lower layer depth of the current depth domain and the current data processing object, and a fourth type of task for representing all downhole depth domains as the current data processing object;

The key association module is used for calling firmware related to the application program interaction function in a firmware library according to the configuration information and associating the firmware with preset key operation of a system platform;

The interface generation module is used for creating an interactive interface of the system according to the configuration information;

A system start-up completion module for encapsulating the system program according to the selected construction and encapsulation method, and placing the encapsulated program into the system platform to complete the construction of the logging data analysis system,

The encapsulation method determining module further analyzes the configuration information, determines a current depth domain according to the analysis result, determines a depth domain object to be processed currently by the system according to the acquired task type, acquires all depth point data in the depth data corresponding to the current logging data processing and attribute information corresponding to each depth point by combining the current depth domain to complete the construction of the application processing object,

When the current task type is a first type task, directly utilizing the current depth domain preset in the primary system development process as input data of data encapsulation processing;

when the current task type is a non-first type task, all depth point data and attribute information corresponding to each depth point contained in the current depth domain object are read from the analysis result of the configuration information, the information is used as input data of the current data encapsulation processing,

The packaging method determining module also judges whether the algorithm corresponding to the current interactive function is a common logging data calculating method according to the analysis result of the configuration information, and determines a corresponding application program packaging method according to the judgment result, wherein the application program packaging method comprises a sequential packaging method and an independent packaging method,

When the algorithm corresponding to the current interaction function is a common logging data calculation method, adopting the independent packaging method or the sequential packaging method as a packaging method developed by the current system;

otherwise, the sequential packaging method is adopted as a packaging method developed by the current system.