A data analysis method based on the general description of petroleum graphics

Abstract

The present application provides a data analysis method based on a universal description of petroleum graphic composition, belonging to the technical field of petroleum data analysis; the method comprises obtaining a preset petroleum graphic composition analysis group; the preset petroleum graphic composition analysis group comprises a plurality of petroleum graphic compositions to be analyzed; obtaining historical usage record data of a plurality of petroleum graphic composition analysis models; the historical usage record data comprises call record data of each of the petroleum graphic composition analysis models and petroleum graphic composition data called in the historical work record of each of the petroleum graphic composition analysis models; determining conversion importance data of each non-universal description petroleum graphic composition in the preset petroleum graphic composition analysis group according to the call record data and the petroleum graphic composition data analysis; obtaining processing suggestions for the preset petroleum graphic composition analysis group according to the conversion importance data and the number of non-universal description petroleum graphic compositions; the processing suggestions represent processing suggestions for non-universal description petroleum graphic compositions.

Description

Technical Field

[0001] The present application relates to the technical field of petroleum data analysis, and in particular to a data analysis method based on a general description of petroleum graphics. Background Art

[0002] In the process of petroleum exploration and research, a type of thematic map that can reveal various underground geological phenomena, accurately depicted on drawings with specific curves, symbols, and color spectra, or inferred and predicted by geological theories is called graphics; such maps are an important part of geological research work, a tool to reflect geological characteristics, laws and production activities, a medium for scientific research, exchange of experience and results, and an important form of preserving historical documents of exploration geological work; for the composition of petroleum graphics, the standards used in different timelines are different. For example, the petroleum graphic composition of a certain area in 2020 is different from that of the same area in 2021 in some features, such as scale, mine size, etc.; therefore, when conducting petroleum data analysis based on petroleum graphic composition, how to choose data analysis is very important. Summary of the invention

[0003] In order to solve the above technical problems, the present application provides a data analysis method based on a general description of the composition of petroleum graphics.

[0004] A data analysis method based on a general description of petroleum graphics comprises:

[0005] Acquire a preset petroleum graphic composition analysis group; the preset petroleum graphic composition analysis group includes a plurality of petroleum graphic compositions to be analyzed; the petroleum graphic compositions include non-general description petroleum graphic compositions and general description petroleum graphic compositions;

[0006] Acquire historical usage record data of multiple petroleum graphic composition analysis models; the historical usage record data includes call record data of each of the petroleum graphic composition analysis models and petroleum graphic composition data called in the historical work record of each of the petroleum graphic composition analysis models; the petroleum graphic composition data includes date data and label data;

[0007] Determine the conversion importance data of each non-universal description petroleum graphic composition in the preset petroleum graphic composition analysis group according to the call record data and the petroleum graphic composition data; the conversion importance data represents the necessary degree of conversion of each non-universal description petroleum graphic composition into a universal description petroleum graphic composition;

[0008] A processing suggestion for the preset petroleum graphic composition analysis group is obtained according to the conversion importance data and the number of non-general description petroleum graphic compositions; the processing suggestion represents a processing suggestion for the non-general description petroleum graphic composition.

[0009] By adopting the above technical scheme, the importance analysis of the non-universal description petroleum graphic composition in the petroleum graphic composition analysis group is carried out to determine the impact of the non-universal description petroleum graphic composition on the analysis results, thereby determining the final processing suggestions for the non-universal description petroleum graphic composition; in this way, the accuracy of the petroleum graphic composition data analysis is improved, the integrity of the analysis data is improved, and the efficiency of data analysis is improved.

[0010] Furthermore, the analysis based on the call record data and the petroleum graphic composition data to determine the conversion importance data of each non-universal description petroleum graphic composition in the preset petroleum graphic composition analysis group includes:

[0011] Determine the usage record data of the non-universal description of the petroleum graphic composition according to the petroleum graphic composition data and the pre-acquired model analysis data;

[0012] Obtaining usage ratio data of each non-universal description petroleum graphic composition in the preset petroleum graphic composition analysis group according to the usage record data and the call record data;

[0013] Based on the rule engine, the conversion importance data of the non-universal description petroleum graphic composition is calculated and determined according to the usage ratio data.

[0014] Furthermore, the calculation method of the conversion importance data includes:

[0015] Assume that there are n petroleum graphic composition analysis models, and the number of calls of the i-th petroleum graphic composition analysis model within the preset time length t is , the calculation weight of the i-th petroleum graph composition analysis model is ;

[0016] ;

[0017] In the formula, To convert importance data, To preset basic importance data, It is a non-universal description of the usage ratio data of the petroleum graphic composition within the preset time t. , They are respectively the lower limit and upper limit of the preset usage ratio threshold range.

[0018] Further, .

[0019] Furthermore, the method for calculating the usage ratio data includes:

[0020] Assume that there are m petroleum graphic composition analysis models, and the number of times that the jth petroleum graphic composition analysis model calls the non-universal description petroleum graphic composition a within the preset time t is , using the non-universal description of the number of times a is formed by the oil graph , then the usage ratio data of the non-universal description petroleum graphic composition within the preset time t is ;in, .

[0021] Further, the processing suggestion of the preset petroleum graphic composition analysis group is obtained according to the conversion importance data and the number of non-universal description petroleum graphic compositions, including:

[0022] Calculate the importance and value of the preset petroleum graph composition analysis group according to the conversion importance data;

[0023] The average importance value of the preset petroleum graphic composition analysis group is calculated based on the importance and value and the number of the non-universal description petroleum graphic compositions;

[0024] A processing suggestion is obtained according to the average importance value.

[0025] It should be understood that the contents described in the Summary of the Invention are not intended to limit the key or important features of the embodiments of the present application, nor are they 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

[0026] The above and other features, advantages and aspects of the embodiments of the present application will become more apparent with reference to the following detailed description in conjunction with the accompanying drawings. In the accompanying drawings, the same or similar reference numerals represent the same or similar elements, wherein:

[0027] Figure 1 A flow chart of a data analysis method based on a general description of petroleum graphics composition in an embodiment of the present application is shown. DETAILED DESCRIPTION

[0028] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, 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 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 are within the scope of protection of this application.

[0029] In addition, the term "and / or" in this article is only a description of the association relationship between the associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship.

[0030] A composite map is an expression of a composite petroleum graphic collection; specifically, a composite map may contain multiple graphics superposition states, which may be a horizontal superposition of multiple layers of graphics, or a vertical superposition of multiple layers of graphics; the cross-section of the horizontally superimposed composite map here is multiple horizontal layers; the cross-section of the vertically superimposed composite map here is multiple vertical layers; when analyzing a composite map, one layer or one graphic or map is analyzed individually, and then the analysis is applied to the entire composite map; a composite map is constructed by combining a map template with multiple maps; a composite map may contain various data graphics such as profiles and bar charts.

[0031] The present application provides a data analysis method based on a general description of petroleum graphic composition, which can improve the accuracy and completeness of petroleum graphic composition data analysis.

[0032] refer to Figure 1 ,A data analysis method based on the general description of petroleum graphics composition includes the following specific steps.

[0033] Step S110: obtaining a preset petroleum graphic composition analysis group; the preset petroleum graphic composition analysis group includes a plurality of petroleum graphic compositions to be analyzed; the petroleum graphic compositions include non-general description petroleum graphic compositions and general description petroleum graphic compositions.

[0034] It can be understood that in the embodiment of the present application, when the petroleum graphic composition analysis group is preset, the petroleum graphic composition group that is obtained by integrating the petroleum graphic compositions that need to be analyzed based on the pre-set petroleum graphic composition analysis requirements; the non-universal description petroleum graphic composition here refers to the petroleum graphic composition that is not constructed according to the latest standards, and the universal description petroleum graphic composition here refers to the petroleum graphic composition constructed according to the latest standards; the petroleum graphic composition is a map, which is one of the parts that constitute a composite map. By analyzing this single part and then analogizing it to other parts, an analysis result that conforms to the map can be obtained; and the map is also an expression of professional knowledge, and the map is composed of a layer template and a plurality of layers; the layer has an independent geological meaning, is a collection of professional graphic layers and graphic layers, and the layer is composed of a graphic template and a plurality of graphic elements; the graphic element is the smallest unit with a specific professional meaning, which defines the professional form of the data; when performing data analysis on the petroleum graphic composition, the petroleum graphic composition analysis is generally used. The model is used for data analysis. Depending on the analysis requirements, different petroleum graphic composition analysis models can be selected to call different petroleum graphic compositions for data analysis. For the called petroleum graphic compositions, when performing data analysis based on the petroleum graphic composition analysis model, it is also possible not to choose to use all the called petroleum graphic compositions, but to use part of the petroleum graphic compositions to participate in the data analysis. In the embodiment of the present application, for non-universal description petroleum graphic compositions, if they are to participate in data analysis together with the universal description petroleum graphic compositions, it is necessary to perform standardization operations on the non-universal description petroleum graphic compositions, convert them into universal description petroleum graphic compositions, and then perform data analysis. However, in actual situations, in addition to choosing to perform standardization operations on the non-universal description petroleum graphic compositions, it is also possible to choose to abandon part or all of the non-universal description petroleum graphic compositions and only use universal description petroleum graphic compositions for data analysis. The embodiment of the present application is a solution to this problem.

[0035] It is understandable that, for the preset petroleum graphic composition analysis group, the petroleum graphic composition called therein is the petroleum graphic composition that can participate in the data analysis work obtained by conditional screening. If the non-universal description of the petroleum graphic composition is used as a screening condition, it will cause deviations in the final analysis results.

[0036] Step S120: Obtain historical usage record data of multiple petroleum graphic composition analysis models; the historical usage record data includes call record data of each of the petroleum graphic composition analysis models and the petroleum graphic composition data called in the historical work record of each of the petroleum graphic composition analysis models; the petroleum graphic composition data includes date data and label data.

[0037] In the embodiment of the present application, when the analysis operation is performed using the petroleum graphic analysis model, it may be a longitudinal comparative analysis of the same location at different times, or it may be a horizontal comparative analysis of the same or similar features at different locations at the same time. The specific analysis situation depends on the analysis requirements.

[0038] It is understandable that a certain fixed petroleum graphic composition can be determined here by date data and label data, and the label data here is classification data, such as mine, non-universal description of petroleum graphic composition, etc.

[0039] Step S130: Determine the conversion importance data of each non-universal description petroleum graphic composition in the preset petroleum graphic composition analysis group according to the call record data and the petroleum graphic composition data analysis; the conversion importance data represents the degree of necessity for each non-universal description petroleum graphic composition to be converted into a universal description petroleum graphic composition.

[0040] In an embodiment of the present application, determining the conversion importance data of each non-universal description petroleum graphic composition in the preset petroleum graphic composition analysis group based on the analysis of the call record data and the petroleum graphic composition data specifically includes: determining the usage record data of the non-universal description petroleum graphic composition based on the petroleum graphic composition data and the pre-acquired model analysis data; obtaining the usage ratio data of each non-universal description petroleum graphic composition in the preset petroleum graphic composition analysis group based on the usage record data and the call record data; and based on a rule engine, calculating and determining the conversion importance data of the non-universal description petroleum graphic composition based on the usage ratio data.

[0041] It is understandable that the usage record data here is just like what is said in step S110, the oil graphic composition is called but not used, so there will be a situation where the number of times the oil graphic composition is used is not greater than the number of times it is called.

[0042] Furthermore, the calculation method of the conversion importance data specifically includes: assuming that there are n petroleum graphic composition analysis models, the number of calls of the i-th petroleum graphic composition analysis model within a preset time length t is , the calculation weight of the i-th petroleum graph composition analysis model is ;

[0043] ;

[0044] In the formula, To convert importance data, To preset basic importance data, It is a non-universal description of the usage ratio data of the petroleum graphic composition within the preset time t. , are the lower limit and upper limit of the preset usage ratio threshold range respectively; .

[0045] It can be understood that the preset basic importance data here can be set separately based on each petroleum graphic composition analysis model, and the specific setting basis can be the petroleum graphic composition construction time and the number of petroleum graphic composition calls; specifically, the preset basic importance data = petroleum graphic composition construction time * preset time weight + total number of petroleum graphic composition calls * preset number weight; the sum of the preset time weight and the preset number weight here is 1; specifically, the preset time weight and the preset number weight can be 0.25 and 0.75; since the total number of petroleum graphic composition calls will change over time, the preset basic importance data will also change over time, but since its calculation method is fixed and the parameters can also be collected in real time, it is regarded as a fixed parameter here for calculation.

[0046] It is understandable that for non-general description of petroleum graphics composition, the probability of its participation in the calculation is relatively low, so when performing data analysis, the non-general description of petroleum graphics composition will be excluded from the calculation process; however, if the frequency of occurrence of non-general description of petroleum graphics composition is too high or too low, it means that it itself will have a certain impact on the calculation results; since a fixed preset time length t is adopted here, when analyzing the frequency, the usage ratio data is directly used instead; if the frequency of occurrence of non-general description of petroleum graphics composition is too high, it means that the time may be closer to the current moment and it needs to participate in the calculation frequently, and its importance is very high; if the frequency of occurrence of non-general description of petroleum graphics composition is too low, it means that the time may be relatively long, but the fewer times it participates in the calculation, the more the impact of its data on the results will not be considered in the final analysis, which may cause the results to be biased, so its importance will also be very high; as for the frequency in the middle gear, it is not considered.

[0047] Furthermore, the calculation method using the proportion data specifically includes: assuming that there are m petroleum graphic composition analysis models, the number of times the jth petroleum graphic composition analysis model calls the non-universal description petroleum graphic composition a within a preset time t is , using the non-universal description of the number of times a is formed by the oil graph , then the usage ratio data of the non-universal description petroleum graphic composition within the preset time t is ;in, .

[0048] It can be understood that the letters here are different from the letters in the above formula and are only used to illustrate the difference. After the specific calculations are integrated, there will be no disagreement.

[0049] Step S140: obtaining processing suggestions for the preset petroleum graphic composition analysis group according to the conversion importance data and the number of non-general description petroleum graphic compositions; the processing suggestions represent processing suggestions for non-general description petroleum graphic compositions.

[0050] In an embodiment of the present application, obtaining processing suggestions for the preset petroleum graphic composition analysis group based on the conversion importance data and the number of non-universal description petroleum graphic compositions specifically includes: calculating the importance and value of the preset petroleum graphic composition analysis group based on the conversion importance data; calculating the average importance value of the preset petroleum graphic composition analysis group based on the importance and value and the number of non-universal description petroleum graphic compositions; and obtaining processing suggestions based on the average importance value.

[0051] It can be understood that by comparing the calculated average importance value of the preset petroleum graphic composition analysis group with the preset threshold, if the average importance value exceeds the threshold, it means that the importance of the non-universal description petroleum graphic compositions in the analysis group is very high and needs to be standardized; if the average importance value is lower than the threshold, it means that it is not important; if the difference between the average importance value and the threshold is within the preset difference range, it is necessary to calculate the importance variance value of the preset petroleum graphic composition analysis group, or to sort based on the importance of each non-universal description petroleum graphic composition, and select a preset number of non-universal description petroleum graphic compositions that are ranked first for standardization and participate in the calculation.

[0052] It should be noted that, for the aforementioned method embodiments, for the sake of simplicity of description, they are all expressed as a series of action combinations, but those skilled in the art should be aware that the present application is not limited by the described order of actions, because according to the embodiments of the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all optional embodiments, and the actions and modules involved are not necessarily required by the present application.

[0053] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the described device can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0054] The above description is only a preferred embodiment of the present application and an explanation of the technical principles used. Those skilled in the art should understand that the scope of disclosure involved in the present application is not limited to the technical solution formed by a specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the aforementioned disclosed concept. For example, the above features are replaced with the technical features with similar functions disclosed in this application (but not limited to) by each other to form a technical solution.

Claims

1. A data analysis method based on a general description of petroleum graphics, characterized in that: include: Acquire a preset petroleum graphic composition analysis group; the preset petroleum graphic composition analysis group includes a plurality of petroleum graphic compositions to be analyzed; the petroleum graphic compositions include non-general description petroleum graphic compositions and general description petroleum graphic compositions; Acquire historical usage record data of multiple petroleum graphic composition analysis models; the historical usage record data includes call record data of each of the petroleum graphic composition analysis models and petroleum graphic composition data called in the historical work record of each of the petroleum graphic composition analysis models; the petroleum graphic composition data includes date data and label data; Determine the conversion importance data of each non-universal description petroleum graphic composition in the preset petroleum graphic composition analysis group according to the call record data and the petroleum graphic composition data; the conversion importance data represents the necessary degree of conversion of each non-universal description petroleum graphic composition into a universal description petroleum graphic composition; Obtaining processing suggestions for the preset petroleum graphic composition analysis group according to the conversion importance data and the number of non-general description petroleum graphic compositions; the processing suggestions for the non-general description petroleum graphic compositions; The step of determining the conversion importance data of each non-universal description petroleum graphic composition in the preset petroleum graphic composition analysis group according to the analysis of the call record data and the petroleum graphic composition data comprises: determining the usage record data of the non-universal description petroleum graphic composition according to the petroleum graphic composition data and the pre-acquired model analysis data; obtaining the usage ratio data of each non-universal description petroleum graphic composition in the preset petroleum graphic composition analysis group according to the usage record data and the call record data; and calculating and determining the conversion importance data of the non-universal description petroleum graphic composition according to the usage ratio data based on a rule engine; The processing suggestion for the preset petroleum graphic composition analysis group obtained based on the conversion importance data and the number of non-general description petroleum graphic compositions includes: calculating the importance and value of the preset petroleum graphic composition analysis group based on the conversion importance data; calculating the average importance value of the preset petroleum graphic composition analysis group based on the importance and value and the number of non-general description petroleum graphic compositions; and obtaining the processing suggestion based on the average importance value.

2. The data analysis method based on the general description of petroleum graphics according to claim 1 is characterized in that: The calculation method of the conversion importance data includes: Assume that there are n petroleum graphic composition analysis models, the number of calls of the i-th petroleum graphic composition analysis model within the preset time t is, and the calculation weight of the i-th petroleum graphic composition analysis model is ; In the formula, To convert importance data, To preset basic importance data, It is a non-universal description of the usage ratio data of the petroleum graphic composition within the preset time t. , They are respectively the lower limit and upper limit of the preset usage ratio threshold range.

3. The data analysis method based on the general description of petroleum graphics according to claim 2 is characterized in that: 。 4. The data analysis method based on the general description of petroleum graphics according to claim 3 is characterized in that: The calculation method of the usage ratio data includes: Assume that there are m petroleum graphic composition analysis models, and the number of times that the jth petroleum graphic composition analysis model calls the non-universal description petroleum graphic composition a within the preset time t is , using the non-universal description of the number of times a is formed by the oil graph , then the usage ratio data of the non-universal description petroleum graphic composition within the preset time t is ;in, .

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