A control system for oil well fracturing

Abstract

The present application relates to the technical field of model construction analysis, and more particularly to a control system for oil well fracturing, which establishes fracture models of each oil well section through a model construction module, determines trajectory prediction direction vectors of each fracture through a model analysis module, and determines a dominant oil well section for fracturing according to a direction comparison result of a plurality of trajectory prediction direction vectors, screens a characteristic fracture sub-model according to fracture length information through a characteristic screening module, predicts and sorts fracturing effects of the oil well section according to a cracking prediction result of the characteristic fracture sub-model through a fracturing prediction module, and outputs an order of segmented fracturing of the oil well section through an output module, thereby realizing modeling analysis of fractures with obvious data representation for each oil well section of segmented fracturing, predicting fracturing effects of each oil well section according to a state of existing fractures, and improving the scientificity and accuracy of fracturing construction order planning.

Description

Technical Field

[0001] This invention relates to the field of model building and analysis technology, and in particular to a control system for oil well fracturing. Background Technology

[0002] Traditional oil well production methods often fall short of expectations for wells with complex geological conditions and low reservoir permeability. In contrast, fracturing technology, as a crucial means to effectively increase oil well production and improve reservoir permeability, is receiving increasing attention. This has driven researchers to develop more precise and efficient oil well fracturing control systems to adapt to different geological conditions and maximize production efficiency. However, traditional oil well fracturing operations often lack refined and intelligent pre-analysis and control methods, relying instead on relatively rough geological survey data or experience-based judgments. This makes it difficult to accurately understand the impact of specific fracture conditions in different sections of the well on the fracturing effect, leading to a degree of blindness in fracturing operations and potentially resulting in poor fracturing effects, resource waste, or even unnecessary damage to the oil well.

[0003] With the development of advanced measurement technology, obtaining more detailed and accurate underground data around oil wells provides a technical foundation for constructing oil well fracture models based on this precise data, and then analyzing and scientifically guiding fracturing operations. Based on this, it is crucial to establish a predictive analysis system that can comprehensively and accurately analyze oil well fracture conditions to guide fracturing sequence and other aspects.

[0004] For example, Chinese Patent Publication No. CN107291968B discloses a fracturing segment selection method and system. The method includes obtaining the evaluation coefficients of each vertical well located within a block; establishing a three-dimensional data model in the three-dimensional space of the block based on the evaluation coefficients, wherein the three-dimensional data model can be used to read the evaluation coefficients of each point in the three-dimensional space of the block; locating the positions of pre-fracturing horizontal wells within the block; and comparing the evaluation coefficients within a set range of the pre-fracturing horizontal wells to select the fracturing segment. This method embodies the integration of geology and engineering, and can significantly improve the effective number of fracturing segments in horizontal wells and the accuracy of segment selection.

[0005] The following problems still exist in the existing technology:

[0006] Existing technologies cannot model and analyze fractures with clear data representation in each segment of a well undergoing staged fracturing, nor can they predict the fracturing effect of each segment based on the state of existing fractures. This affects the scientific and precise arrangement of the fracturing construction sequence and is not conducive to improving the oil production efficiency of the wells. Summary of the Invention

[0007] To address this, the present invention provides a control system for oil well fracturing, which overcomes the problems of existing technologies being unable to model and analyze fractures with obvious data characterization in each segment of oil well fracturing, and being unable to predict the fracturing effect of each segment of oil well based on the state of existing fractures.

[0008] To achieve the above objectives, the present invention provides a control system for oil well fracturing, comprising:

[0009] The model building module is used to acquire microwave scanning data around the oil well and to build fracture models for each oil well section based on the microwave scanning data.

[0010] The model analysis module, which is connected to the model construction module, is used to determine the trajectory prediction direction vector of each fracture based on the trajectory direction of each fracture in the fracture model, and to determine the fracturing visible oil well section based on the direction comparison results of several trajectory prediction direction vectors.

[0011] The feature filtering module is connected to the model analysis module and the model construction module respectively, and is used to divide the fracture model of the fractured visible oil well section into several fracture sub-models, and to filter feature fracture sub-models according to fracture length information.

[0012] The fracturing prediction module, which is connected to the feature screening module, is used to predict and rank the fracturing effect of the oil well section based on the fracturing prediction results of the feature fracture sub-model.

[0013] The crack prediction result includes the crack prediction direction, which is determined based on the trajectory prediction direction vector of the preset reference crack sub-model corresponding to the feature crack sub-model.

[0014] The output module, which is connected to the fracturing prediction module, is used to output the order of segmented fracturing of the oil well section based on the prediction sorting results.

[0015] Furthermore, the microwave scanning data acquired by the model building module includes the depth, length, and width parameters of the crack;

[0016] The model building module constructs a three-dimensional geometric model of several fractures in the oil well section based on the depth, length and width parameters of the fractures, and determines the model composed of the three-dimensional geometric models of several fractures and the three-dimensional geometric model of the oil well section as the fracture model.

[0017] Furthermore, the model analysis module is used to determine the trajectory prediction direction vector of each crack, wherein,

[0018] The model analysis module is also used to obtain the coordinates of the first point at the connection between the fracture and the oil well section and the coordinates of the second point at the end of the fracture extension, and to determine the trajectory prediction direction vector based on the coordinates of the first point and the second point.

[0019] The trajectory prediction direction vector starts at the coordinates of the first point and ends at the coordinates of the second point.

[0020] Furthermore, the model analysis module is used to compare the directions of several trajectory prediction direction vectors, wherein,

[0021] The model analysis module obtains the angle between each trajectory prediction direction vector and the other trajectory prediction direction vectors, calculates the proportion of the number of angles that exceed a preset angle threshold, and determines the proportion of the number of angles as the direction comparison result.

[0022] Furthermore, the model analysis module determines the fracturing visible oil well intervals based on the directional comparison results, wherein,

[0023] If the direction comparison results meet the explicit screening conditions, the model analysis module will identify the oil well section as the fracturing explicit oil well section.

[0024] The explicit screening condition is that the percentage of included angles exceeds a preset percentage reference value.

[0025] Furthermore, the feature filtering module is also used to filter out crack sub-models whose length parameters do not exceed the length parameter comparison value as feature crack sub-models based on the length parameters corresponding to the crack sub-models.

[0026] The fracture sub-model is a three-dimensional geometric model of each fracture, and the length parameter comparison value is the average value of the length parameters corresponding to the three-dimensional geometric models of several fractures in the fracturing visible oil well section.

[0027] Furthermore, the fracturing prediction module is used to determine the crack initiation prediction direction of the characteristic crack sub-model, wherein,

[0028] The fracturing prediction module is also used to determine two adjacent fracturing sub-models of the characteristic fracturing sub-model as preset reference fracturing sub-models corresponding to the characteristic fracturing sub-model, and to add the trajectory prediction direction vectors corresponding to the two preset reference fracturing sub-models, and to determine the fracturing prediction direction based on the direction vector obtained by the addition.

[0029] Furthermore, the fracturing prediction module is also used to obtain the fracturing prediction direction of each characteristic fracture sub-model, calculate the deviation angle between the direction of the trajectory prediction direction vector corresponding to the characteristic fracture sub-model and the fracturing prediction direction, and determine the average deviation angle as the fracturing effect characterization value of the fracturing visible oil well section.

[0030] Furthermore, the fracturing prediction module is used to predict and rank the fracturing effect of the oil well section based on the fracturing effect characterization value;

[0031] The order of the predictions is the order of the fracturing effect characterization values ​​from largest to smallest.

[0032] Furthermore, the output module also includes a display unit, which displays the order of segmented fracturing of the oil well section according to the predicted sorting order, and the order of segmented fracturing is consistent with the predicted sorting order.

[0033] Compared with existing technologies, the beneficial effects of this invention are as follows: This invention establishes fracture models for each well section through a model building module; determines the trajectory prediction direction vector of each fracture through a model analysis module; identifies the fracturing-prominent well sections based on the direction comparison results of several trajectory prediction direction vectors; filters characteristic fracture sub-models based on fracture length information through a feature screening module; predicts and ranks the fracturing effect of the well sections based on the fracturing prediction results of the characteristic fracture sub-models through a fracturing prediction module; and outputs the order of segmented fracturing of the well sections through an output module. Thus, it achieves modeling and analysis of fractures with significant data representation in each well section of segmented fracturing, and predicts the fracturing effect of each well section based on the state of existing fractures, thereby improving the scientific and precise planning of the fracturing construction sequence.

[0034] In particular, this invention constructs a three-dimensional geometric model of the fractures in the oil well before fracturing using a model building module. It can be understood that the differences in fractures in the oil well before fracturing can characterize the differences in geological conditions within the oil well. By modeling the existing fractures in the oil well, it is possible to screen fractures with obvious data characterization for each segment of the oil well after staged fracturing and perform modeling and analysis.

[0035] In particular, this invention determines the trajectory prediction direction vector of each fracture through a model analysis module. It can be understood that the trajectory prediction direction vector is determined by obtaining the coordinates of the first point where the fracture connects to the oil well section and the coordinates of the second point where the fracture extends to its endpoint. This transforms the originally abstract and difficult-to-accurate fracture orientation information into intuitive vector information. This enables quantitative analysis of the fracture extension direction in the oil well. Compared with the traditional method of relying on experience or rough qualitative judgment of fracture orientation, this greatly improves the accuracy and scientific nature of the fracture orientation description.

[0036] In particular, this invention uses a model analysis module to identify fracturing well sections. In complex well structures, there may be multiple well sections with chaotic fracture directions and well sections with relatively consistent fracture directions. By calculating the proportion of the number of well sections with large vector angles, well sections with significant differences in fracture directions can be accurately identified. It is understood that well sections with significant differences in fracture directions are more likely to form an effective fracture network after fracturing. Fractures in different directions can connect various parts of the oil layer like a three-dimensional net, improving the production efficiency of the oil well.

[0037] In particular, this invention filters characteristic fracture sub-models through a feature filtering module. It can be understood that by filtering characteristic fracture sub-models based on their length parameters, it is possible to accurately focus on those relatively short key fractures from a large number of fractures. In oil well fracturing scenarios, these shorter fractures may often expand and extend during subsequent fracturing processes. The effects of expansion and extension will affect the overall fracturing effect. Filtering them out as key analysis objects helps to eliminate interference from some long fractures that have a relatively small impact on the fracturing effect. Thus, it enables the modeling and analysis of fractures with obvious data characterization in each segment of oil well fracturing.

[0038] In particular, this invention obtains the cracking prediction direction of each characteristic fracture sub-model through a fracturing prediction module. It can be understood that two adjacent fracture sub-models of a characteristic fracture sub-model are used as preset reference fracture sub-models, and the cracking prediction direction is determined by adding their corresponding trajectory prediction direction vectors. This method fully considers the spatial correlation between fractures. In actual oil well fracturing, the cracking direction is not isolated but is influenced by surrounding geological conditions. The orientation and distribution of adjacent fractures can guide or restrict the cracking trend of the target fracture during fracturing. The cracking prediction direction determined in this way is more in line with the actual situation, realizing the prediction of the fracturing effect of each section of the oil well based on the state of existing fractures, and improving the scientific and precise planning of the fracturing construction sequence.

[0039] In particular, this invention uses a fracturing prediction module to predict and sort oil well sections according to the fracturing effect characterization value from largest to smallest, and determines the segmented fracturing sequence. This means that fracturing operations are carried out first on oil well sections with relatively better predicted fracturing effects. Arranging the fracturing sequence can avoid the geological condition changes caused by the fracturing process of other oil well sections from affecting the oil well sections with relatively better fracturing effects. In this way, the scientific and precise planning of the fracturing construction sequence is improved, and the oil well production efficiency is maximized. Attached Figure Description

[0040] Figure 1 This is a system block diagram of a control system for oil well fracturing according to an embodiment of the present invention;

[0041] Figure 2 This is a flowchart illustrating the logic of filtering feature crack sub-models in an embodiment of the present invention.

[0042] Figure 3 A logic flowchart for determining the fracturing visible oil well section in an embodiment of the present invention. Detailed Implementation

[0043] To make the objectives and advantages of the present invention clearer, the present invention will be further described below with reference to embodiments; it should be understood that the specific embodiments described herein are merely for explaining the present invention and are not intended to limit the present invention.

[0044] Preferred embodiments of the present invention will now be described with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are merely illustrative of the technical principles of the present invention and are not intended to limit the scope of protection of the present invention.

[0045] It should be noted that in the description of this invention, the terms "upper," "lower," "inner," "outer," etc., which indicate the direction or positional relationship, are based on the direction or positional relationship shown in the drawings. This is only for the convenience of description and is not intended to indicate or imply that the device or element must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, it should not be construed as a limitation of this invention.

[0046] Furthermore, it should be noted that, in the description of this invention, unless otherwise explicitly specified and limited, the terms "installation" and "connection" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0047] Please see Figure 1 The diagram shown is a system block diagram of a control system for oil well fracturing according to an embodiment of the present invention. The control system for oil well fracturing according to the present invention includes:

[0048] The model building module is used to acquire microwave scanning data around the oil well and to build fracture models for each oil well section based on the microwave scanning data.

[0049] The model analysis module, which is connected to the model construction module, is used to determine the trajectory prediction direction vector of each fracture based on the trajectory direction of each fracture in the fracture model, and to determine the fracturing visible oil well section based on the direction comparison results of several trajectory prediction direction vectors.

[0050] The feature filtering module is connected to the model analysis module and the model construction module respectively, and is used to divide the fracture model of the fractured visible oil well section into several fracture sub-models, and to filter feature fracture sub-models according to fracture length information.

[0051] The fracturing prediction module, which is connected to the feature screening module, is used to predict and rank the fracturing effect of the oil well section based on the fracturing prediction results of the feature fracture sub-model.

[0052] The crack prediction result includes the crack prediction direction, which is determined based on the trajectory prediction direction vector of the preset reference crack sub-model corresponding to the feature crack sub-model.

[0053] The output module, which is connected to the fracturing prediction module, is used to output the order of segmented fracturing of the oil well section based on the prediction sorting results.

[0054] In practice, microwave scanning data can be acquired through downhole detectors. Downhole detectors with microwave scanning capabilities are widely used in downhole mapping, exploration and other fields. This is existing technology and will not be elaborated here.

[0055] Specifically, the present invention does not limit the model building module. In practice, the model building module can be equipped with microwave scanning data collection and imaging processing based on the collected microwave data to complete the model construction, which will not be elaborated here.

[0056] Specifically, the microwave scanning data acquired by the model building module includes the depth, length, and width parameters of the crack;

[0057] The model building module constructs a three-dimensional geometric model of several fractures in the oil well section based on the depth, length and width parameters of the fractures, and determines the model composed of the three-dimensional geometric models of several fractures and the three-dimensional geometric model of the oil well section as the fracture model.

[0058] In practice, the position and shape of each fracture in the three-dimensional coordinate system are constructed by using the depth, length and width parameters of the fracture. The models of multiple fractures are combined to construct a three-dimensional geometric model of several fractures in the oil well section. This is existing technology and will not be described in detail here.

[0059] Specifically, this invention constructs a three-dimensional geometric model of the fractures in the oil well before fracturing using a model building module. It can be understood that the differences in fractures in the oil well before fracturing can characterize the differences in geological conditions within the oil well. By modeling the existing fractures in the oil well, the invention enables the modeling and analysis of fractures with significant data characterization in each segment of the oil well after fracturing.

[0060] Specifically, the model analysis module is used to determine the trajectory prediction direction vector of each crack, wherein,

[0061] The model analysis module is also used to obtain the coordinates of the first point at the connection between the fracture and the oil well section and the coordinates of the second point at the end of the fracture extension, and to determine the trajectory prediction direction vector based on the coordinates of the first point and the second point.

[0062] The trajectory prediction direction vector starts at the coordinates of the first point and ends at the coordinates of the second point.

[0063] In practice, if the coordinates of the first point are (x1, y1, z1) and the coordinates of the second point are (x2, y2, z2), then the vector determined by the coordinates of the first point and the second point is (x2-x1, y2-y1, z2-z1). This vector is then normalized to a length of 1 to obtain the trajectory prediction direction vector.

[0064] Specifically, this invention determines the trajectory prediction direction vector of each fracture through a model analysis module. In other words, the trajectory prediction direction vector is determined by obtaining the coordinates of the first point where the fracture connects to the oil well section and the coordinates of the second point where the fracture extends to its endpoint. This transforms the originally abstract and difficult-to-accurate fracture orientation information into intuitive vector information. This enables quantitative analysis of the fracture extension direction in the oil well. Compared with the traditional method of relying on experience or rough qualitative judgment of fracture orientation, this greatly improves the accuracy and scientific nature of the fracture orientation description.

[0065] Specifically, the model analysis module is used to compare the directions of several trajectory prediction direction vectors, wherein...

[0066] The model analysis module obtains the angle between each trajectory prediction direction vector and the other trajectory prediction direction vectors, calculates the proportion of the number of angles that exceed a preset angle threshold, and determines the proportion of the number of angles as the direction comparison result.

[0067] In practice, the preset vector angle threshold can be set according to the accuracy of fracturing effect prediction. The larger the vector angle threshold, the more obvious the cross-linking effect of the fracture network formed by the selected fracturing visible oil well sections. Preferably, the vector angle threshold can be 20°.

[0068] Specifically, please refer to Figure 2 As shown, this is a flowchart illustrating the logic for determining the fractured visible oil well section in an embodiment of the present invention. The model analysis module determines the fractured visible oil well section based on the directional comparison results.

[0069] If the direction comparison results meet the explicit screening conditions, the model analysis module will identify the oil well section as the fracturing explicit oil well section.

[0070] If the direction comparison results do not meet the explicit screening conditions, the model analysis module determines that the oil well section is a non-fractured explicit oil well section.

[0071] The explicit screening condition is that the percentage of included angles exceeds a preset percentage reference value.

[0072] Specifically, the preset quantity ratio reference value can be determined according to the required accuracy of the prediction. The smaller the quantity ratio reference value, the more fracturing visible oil well segments are screened, the more oil well segments need to be further analyzed, and the higher the accuracy of the prediction. Preferably, a preset quantity ratio reference value of 0.25 is provided here.

[0073] Specifically, this invention uses a model analysis module to determine the visible fracturing well sections. In complex well structures, there may be multiple well sections with chaotic fracture directions and well sections with relatively consistent fracture directions. By calculating the proportion of the number of well sections with large vector angles, well sections with significant differences in fracture directions can be accurately identified. It can be understood that well sections with significant differences in fracture directions are more likely to form an effective fracture network after fracturing. Fractures in different directions can connect various parts of the oil layer like a three-dimensional net, improving the oil well's production efficiency.

[0074] Specifically, please refer to Figure 3 As shown, it is a logical flowchart of the feature crack sub-model selection in an embodiment of the present invention. The feature selection module is also used to select crack sub-models whose length parameters do not exceed the length parameter comparison value as feature crack sub-models based on the length parameters corresponding to the crack sub-models.

[0075] The feature filtering module does not filter crack sub-models whose length parameter exceeds the length parameter comparison value;

[0076] The fracture sub-model is a three-dimensional geometric model of each fracture, and the length parameter comparison value is the average value of the length parameters corresponding to the three-dimensional geometric models of several fractures in the fracturing visible oil well section.

[0077] Specifically, this invention uses a feature filtering module to select characteristic fracture sub-models. This means that by selecting characteristic fracture sub-models based on their length parameters, it can accurately focus on relatively short, critical fractures from a large pool of fractures. In oil well fracturing scenarios, these shorter fractures often expand and extend during subsequent fracturing processes. The effects of expansion and extension can affect the overall fracturing effect. Selecting them as key analysis targets helps eliminate interference from longer fractures that have a relatively small impact on the fracturing effect. Thus, it enables the modeling and analysis of fractures with significant data representation characteristics in each segmented oil well section of fracturing.

[0078] Specifically, the fracturing prediction module is used to determine the cracking prediction direction of the characteristic crack sub-model, wherein,

[0079] The fracturing prediction module is also used to determine two adjacent fracturing sub-models of the characteristic fracturing sub-model as preset reference fracturing sub-models corresponding to the characteristic fracturing sub-model, and to add the trajectory prediction direction vectors corresponding to the two preset reference fracturing sub-models, and to determine the fracturing prediction direction based on the direction vector obtained by the addition.

[0080] In implementation, we can first determine two adjacent crack sub-models B and C of the characteristic crack sub-model A, add the trajectory prediction direction vector b corresponding to crack sub-model B and the trajectory prediction direction vector c corresponding to crack sub-model C to obtain the direction vector e, and determine the direction of the direction vector e as the cracking prediction direction corresponding to the characteristic crack sub-model A.

[0081] Specifically, this invention obtains the cracking prediction direction of each characteristic fracture sub-model through a fracturing prediction module. This means that two adjacent fracture sub-models of a characteristic fracture sub-model are used as preset reference fracture sub-models, and the cracking prediction direction is determined by adding their corresponding trajectory prediction direction vectors. This method fully considers the spatial correlation between fractures. In actual oil well fracturing, the cracking direction is not isolated but is influenced by surrounding geological conditions. The orientation and distribution of adjacent fractures can guide or limit the cracking trend of the target fracture during fracturing. The cracking prediction direction determined in this way is more consistent with the actual situation, enabling the prediction of the fracturing effect of each segment of the oil well based on the existing fracture state, thus improving the scientific and precise planning of the fracturing construction sequence.

[0082] Specifically, the fracturing prediction module is also used to obtain the fracturing prediction direction of each characteristic fracture sub-model, calculate the deviation angle between the direction of the trajectory prediction direction vector corresponding to the characteristic fracture sub-model and the fracturing prediction direction, and determine the average deviation angle as the fracturing effect characterization value K of the fracturing visible oil well section.

[0083] Specifically, the fracturing prediction module is used to predict and rank the fracturing effect of the oil well section based on the fracturing effect characterization value K;

[0084] The order of the predictions is the order of the fracturing effect characterization values ​​from largest to smallest.

[0085] Specifically, the output module further includes a display unit, which displays the order of segmented fracturing of the oil well section according to the predicted sorting order, and the order of segmented fracturing is consistent with the predicted sorting order.

[0086] In practice, the display unit can be a monitor to show the sequence of staged fracturing of the oil well, which will not be elaborated here.

[0087] In implementation, the fracturing effect characterization value K is calculated for four oil well segments Y1, Y2, Y3, and Y4. If the calculated fracturing effect characterization value K1 = 10° for oil well segment Y1, K2 = 18° for well segment Y2, K3 = 5° for well segment Y3, and K4 = 7° for well segment Y4, then the fracturing effect characterization values ​​are sorted from largest to smallest as Y2, Y1, Y4, Y3. The order of predicting the fracturing effect of the oil well segments is also Y2, Y1, Y4, Y3. The display unit performs segmented fracturing according to the displayed oil well segments in the following order: Y2, Y1, Y4, Y3.

[0088] Specifically, this invention uses a fracturing prediction module to predict and sort oil well sections according to their fracturing effect characterization values ​​from largest to smallest, and determines the segmented fracturing sequence. This means that fracturing operations are first carried out on oil well sections with relatively better predicted fracturing effects. Arranging the fracturing sequence can avoid the geological condition changes caused by the fracturing process of other oil well sections from affecting the oil well sections with relatively better fracturing effects. In this way, the scientific and precise planning of the fracturing construction sequence is improved, and the oil well production efficiency is maximized.

[0089] The technical solution of the present invention has been described above with reference to the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will all fall within the scope of protection of the present invention.

[0090] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A control system for oil well fracturing, characterized in that, include: The model building module is used to acquire microwave scanning data around the oil well and to build fracture models for each oil well section based on the microwave scanning data. The model analysis module, which is connected to the model construction module, is used to determine the trajectory prediction direction vector of each fracture based on the trajectory direction of each fracture in the fracture model, and to determine the fracturing visible oil well section based on the direction comparison results of several trajectory prediction direction vectors. The feature filtering module is connected to the model analysis module and the model construction module respectively, and is used to divide the fracture model of the fractured visible oil well section into several fracture sub-models, and to filter feature fracture sub-models according to fracture length information. The fracturing prediction module, which is connected to the feature screening module, is used to predict and rank the fracturing effect of the oil well section based on the fracturing prediction results of the feature fracture sub-model. The crack prediction result includes the crack prediction direction, which is determined based on the trajectory prediction direction vector of the preset reference crack sub-model corresponding to the feature crack sub-model. The output module, which is connected to the fracturing prediction module, is used to output the order of segmented fracturing of the oil well section based on the prediction sorting results.

2. The control system for oil well fracturing according to claim 1, characterized in that, The microwave scanning data acquired by the model building module includes the depth, length, and width parameters of the crack. The model building module constructs a three-dimensional geometric model of several fractures in the oil well section based on the depth, length and width parameters of the fractures, and determines the model composed of the three-dimensional geometric models of several fractures and the three-dimensional geometric model of the oil well section as the fracture model.

3. The control system for oil well fracturing according to claim 2, characterized in that, The model analysis module is used to determine the trajectory prediction direction vector of each crack, wherein, The model analysis module is also used to obtain the coordinates of the first point at the connection between the fracture and the oil well section and the coordinates of the second point at the end of the fracture extension, and to determine the trajectory prediction direction vector based on the coordinates of the first point and the second point. The trajectory prediction direction vector starts at the coordinates of the first point and ends at the coordinates of the second point.

4. The control system for oil well fracturing according to claim 3, characterized in that, The model analysis module is used to compare the directions of several trajectory prediction direction vectors, wherein... The model analysis module obtains the angle between each trajectory prediction direction vector and the other trajectory prediction direction vectors, calculates the proportion of the number of angles that exceed a preset angle threshold, and determines the proportion of the number of angles as the direction comparison result.

5. The control system for oil well fracturing according to claim 4, characterized in that, The model analysis module determines the fracturing visible oil well section based on the direction comparison results, wherein... If the direction comparison results meet the explicit screening conditions, the model analysis module will identify the oil well section as the fracturing explicit oil well section. The explicit screening condition is that the percentage of included angles exceeds a preset percentage reference value.

6. The control system for oil well fracturing according to claim 5, characterized in that, The feature filtering module is also used to filter out crack sub-models whose length parameters do not exceed the length parameter comparison value as feature crack sub-models based on the length parameters corresponding to the crack sub-models. The fracture sub-model is a three-dimensional geometric model of each fracture, and the length parameter comparison value is the average value of the length parameters corresponding to the three-dimensional geometric models of several fractures in the fracturing visible oil well section.

7. The control system for oil well fracturing according to claim 6, characterized in that, The fracturing prediction module is used to determine the cracking prediction direction of the characteristic fracture sub-model, wherein, The fracturing prediction module is also used to determine two adjacent fracturing sub-models of the characteristic fracturing sub-model as preset reference fracturing sub-models corresponding to the characteristic fracturing sub-model, and to add the trajectory prediction direction vectors corresponding to the two preset reference fracturing sub-models, and to determine the fracturing prediction direction based on the direction vector obtained by the addition.

8. The control system for oil well fracturing according to claim 7, characterized in that, The fracturing prediction module is also used to obtain the fracturing prediction direction of each characteristic fracture sub-model, calculate the deviation angle between the direction of the trajectory prediction direction vector corresponding to the characteristic fracture sub-model and the fracturing prediction direction, and determine the average deviation angle as the fracturing effect characterization value of the fracturing visible oil well section.

9. The control system for oil well fracturing according to claim 8, characterized in that, The fracturing prediction module is used to predict and rank the fracturing effect of the oil well section based on the fracturing effect characterization value; The order of the predictions is the order of the fracturing effect characterization values ​​from largest to smallest.

10. The control system for oil well fracturing according to claim 9, characterized in that, The output module further includes a display unit, which displays the order of segmented fracturing of the oil well section according to the predicted sorting order, wherein the order of segmented fracturing is consistent with the predicted sorting order.

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