Control system for oil well fracturing

Abstract

The invention relates to the technical field of model construction analysis, in particular to a control system for oil well fracturing. A model analysis module determines a trajectory prediction direction vector of each crack and determines a fractured dominant oil well section according to a direction comparison result of a plurality of trajectory prediction direction vectors, and a feature screening module screens feature crack sub-models according to crack length information; and the fracturing prediction module predicts and ranks the fracturing effects of the oil well sections according to the cracking prediction result of the characteristic crack sub-model, and the output module outputs the staged fracturing sequence of the oil well sections, so that cracks with obvious data characterization are screened for the staged fractured oil well sections for modeling analysis, and the fractures with obvious data characterization are obtained. And the fracturing effect of each section of oil well is predicted according to the state of the existing crack, so that the scientization and precision of fracturing construction sequence planning are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of model building and analysis, and in particular to a control system for oil well fracturing. Background Art

[0002] The traditional oil well exploitation method is often not efficient enough for some oil wells with complex geological conditions and low reservoir permeability. As an important means to effectively increase oil well production and improve reservoir permeability, fracturing technology is increasingly valued, and is constantly prompting researchers to develop more accurate and efficient oil well fracturing control systems to adapt to different oil well geological conditions and maximize exploitation efficiency. Traditional oil well fracturing operations often lack refined and intelligent preliminary analysis and control methods, and are only based on relatively rough geological survey data or empirical judgments. It is difficult to accurately know the impact of specific crack conditions in each section of the oil well on the fracturing effect, resulting in a certain degree of blindness in fracturing construction, which may result in poor fracturing effects, waste of resources, and even unnecessary damage to the oil well.

[0003] With the development of advanced measurement technology, more detailed and accurate underground data around oil wells are obtained, which provides a technical basis for constructing oil well fracture models based on these precise data, and then analyzing and scientifically guiding fracturing construction. It is crucial to establish a predictive analysis system based on this, which can comprehensively and accurately analyze the oil well fracture conditions to guide fracturing sequence and other links.

[0004] For example, Chinese patent publication number: CN107291968B, the invention discloses a fracturing section selection method and system, the method includes respectively obtaining the evaluation coefficient of each vertical well located in the block; establishing a three-dimensional data model in the three-dimensional space of the block according to the evaluation coefficient, and the three-dimensional data model can be used to read the evaluation coefficient of each point in the three-dimensional space of the block; calibrating the position of the pre-fracturing horizontal well in the block; comparing the evaluation coefficients within the set range of the pre-fracturing horizontal well to select the well section for fracturing. This method embodies the integration of geology and engineering, and can significantly improve the number of effective sections of horizontal well fracturing and the accuracy of section selection.

[0005] The prior art still has the following problems:

[0006] The existing technology cannot perform modeling and analysis on fractures with obvious data representation in each oil well section of staged fracturing, and cannot predict the fracturing effect of each section of the oil well based on the status of existing fractures, which affects the scientific and precise arrangement of the fracturing construction sequence and is not conducive to improving the oil production efficiency of the oil well. Summary of the invention

[0007] To this end, the present invention provides a control system for oil well fracturing, which is used to overcome the problems that the prior art cannot screen cracks with obvious data representativeness for modeling and analysis in each oil well section of staged fracturing, and cannot predict the fracturing effect of each section of the oil well based on the status of existing cracks.

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

[0009] A model building module, used to obtain microwave scanning data around the oil well and establish a fracture model of each oil well section according to the microwave scanning data;

[0010] A model analysis module, which is connected to the model construction module, is used to determine the trajectory prediction direction vector of each fracture according to the trajectory direction of each fracture in the fracture model, and determine the fracturing dominant oil well section according to the direction comparison results of several trajectory prediction direction vectors;

[0011] A feature screening module, which is connected to the model analysis module and the model construction module respectively, and is used to divide the fracture model of the fractured oil well section into a plurality of fracture sub-models, and to screen the feature fracture sub-models according to the fracture length information;

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

[0013] Wherein, the crack prediction result includes a crack prediction direction, and the crack prediction direction is determined according to a trajectory prediction direction vector of a preset reference crack sub-model corresponding to the characteristic crack sub-model;

[0014] An output module is connected to the fracturing prediction module and is used to output the sequence of staged fracturing of oil well sections according to the result of the prediction sorting.

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

[0016] The model building module builds a three-dimensional geometric model of several cracks in the oil well section based on the depth parameters, length parameters and width parameters of the cracks, and determines the model composed of the three-dimensional geometric models of several cracks and the three-dimensional geometric model of the oil well section as the crack 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 a first point at the connection position between the fracture and the oil well section and the coordinates of a second point at the end position of the fracture extension, and determine the trajectory prediction direction vector according to the coordinates of the first point and the coordinates of the second point;

[0019] The trajectory prediction direction vector takes the first point coordinates as a vector starting point and takes the second point coordinates as a vector ending 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 vector angle between each trajectory prediction direction vector and the remaining trajectory prediction direction vectors, calculates the proportion of the number of angles whose vector angles exceed a preset vector 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 dominant oil well section according to the direction comparison result, wherein:

[0023] If the direction comparison result meets the explicit screening condition, the model analysis module determines the oil well section as the fracturing explicit oil well section;

[0024] The explicit screening condition is that the angle ratio exceeds a preset reference value of the angle ratio.

[0025] Furthermore, the characteristic screening module is also used to screen the crack sub-models whose length parameters do not exceed the length parameter comparison value as characteristic crack sub-models according to 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 an average value of the length parameters corresponding to the three-dimensional geometric models of several fractures in the fracturing dominant oil well section.

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

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

[0029] Furthermore, the fracturing prediction module is also used to obtain the cracking 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 cracking prediction direction, and determine the average value of the deviation angle as the fracturing effect characterization value of the fractured dominant oil well section.

[0030] Furthermore, the fracturing prediction module is used to predict and sort the fracturing effects of the oil well sections according to the fracturing effect characterization values;

[0031] The order of the prediction ranking is the order of the fracturing effect characterization values ​​from large to small.

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

[0033] Compared with the prior art, the beneficial effect of the present invention lies in that the present invention establishes a fracture model of each oil well section through a model building module, determines the trajectory prediction direction vector of each fracture through a model analysis module, and determines the dominant oil well section for fracturing according to the direction comparison results of several trajectory prediction direction vectors, screens the characteristic fracture sub-model according to the fracture length information through a feature screening module, predicts and sorts the fracturing effects of the oil well section according to the cracking prediction results of the characteristic fracture sub-model through a fracturing prediction module, and outputs the order of staged fracturing of the oil well section through an output module, thereby realizing the modeling and analysis of the fractures with obvious data representation selected for each oil well section of staged fracturing, and predicting the fracturing effect of each section of the oil well according to the state of existing fractures, thereby improving the scientificity and precision of fracturing construction sequence planning.

[0034] In particular, the present invention constructs a three-dimensional geometric model of the cracks in the oil well before fracturing through a model building module. It can be understood that the differences in cracks in the oil well before fracturing can represent the differences in geological conditions in the oil well. By modeling the existing cracks in the oil well, it is possible to achieve modeling and analysis of cracks with obvious data representation in each oil well section of staged fracturing.

[0035] In particular, the present invention determines the trajectory prediction direction vector of each crack through the model analysis module. It can be understood that the trajectory prediction direction vector is determined by obtaining the first point coordinates of the connection position between the crack and the oil well section and the second point coordinates of the end point of the crack extension, and the crack direction information that was originally more abstract and difficult to accurately grasp is converted into intuitive vector information. This makes it possible to quantitatively analyze the extension direction of the crack in the oil well. Compared with the traditional method of relying on experience or roughly qualitatively judging the crack direction, the accuracy and scientificity of the description of the crack direction are greatly improved.

[0036] In particular, the present invention determines the dominant oil well section for fracturing through a model analysis module. In a complex oil well structure, there may be multiple oil well sections with disordered fracture directions and oil well sections with relatively consistent fracture directions. By calculating the proportion of the number of vector angles with larger angles, the oil well sections with larger differences in fracture directions can be accurately found. It can be understood that the oil well sections with larger differences in fracture directions are more likely to form an effective fracture network after fracturing. Cracks in different directions can connect various parts of the oil layer like a three-dimensional net, thereby improving the production efficiency of the oil well.

[0037] In particular, the present invention screens the characteristic fracture sub-model through the characteristic screening module. It can be understood that by screening the characteristic fracture sub-model according to the length parameter of the fracture sub-model, it is possible to accurately focus on those key fractures with relatively short lengths from numerous fractures. In the oil well fracturing scenario, these shorter fractures may often expand and extend in the subsequent fracturing process. The effects of expansion and extension will affect the overall fracturing effect. Screening them out as key analysis objects helps to eliminate the interference caused by some long cracks that have relatively small effects on the fracturing effect, thereby achieving modeling and analysis of fractures with obvious data representation in each oil well section of staged fracturing.

[0038] In particular, the present invention obtains the cracking prediction direction of each characteristic crack sub-model through the fracturing prediction module. It can be understood that two adjacent crack sub-models of the characteristic crack sub-model are used as preset reference crack 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 cracks. In actual oil well fracturing, the cracking direction of the crack does not exist in isolation, but will be affected by the surrounding geological conditions. Factors such as the direction and distribution of adjacent cracks will guide or restrict the cracking trend of the target crack during fracturing. The cracking prediction direction determined in this way is more in line with the actual situation, and realizes the prediction of the fracturing effect of each section of the oil well according to the state of the existing cracks, thereby improving the scientific and precise planning of the fracturing construction sequence.

[0039] In particular, the present invention predicts and sorts the oil well sections according to the order of fracturing effect characterization values ​​from large to small through the fracturing prediction module and determines the staged fracturing sequence, which means that fracturing operations are first carried out on the oil well sections with relatively better predicted fracturing effects. Arranging the fracturing sequence can avoid the impact of changes in geological conditions caused by the fracturing process of other oil well sections on the oil well sections with relatively better fracturing effects, thereby improving the scientificity and precision of fracturing construction sequence planning and maximizing the oil well production efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[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 A logic flow chart for selecting characteristic crack sub-models according to an embodiment of the present invention;

[0042] Figure 3 A logical flow chart for determining a fracture-dominant oil well section according to an embodiment of the present invention. DETAILED DESCRIPTION

[0043] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0044] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0045] It should be noted that, in the description of the present invention, terms such as "upper", "lower", "inside" and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the drawings. This is only for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on the present invention.

[0046] In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installation" and "connection" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be an indirect connection through an intermediate medium, or it can be the internal communication of two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0047] See also Figure 1 As shown, it is a system block diagram of a control system for oil well fracturing according to an embodiment of the present invention. A control system for oil well fracturing according to the present invention includes:

[0048] A model building module, used to obtain microwave scanning data around the oil well and establish a fracture model of each oil well section according to the microwave scanning data;

[0049] A model analysis module, which is connected to the model construction module, is used to determine the trajectory prediction direction vector of each fracture according to the trajectory direction of each fracture in the fracture model, and determine the fracturing dominant oil well section according to the direction comparison results of several trajectory prediction direction vectors;

[0050] A feature screening module, which is connected to the model analysis module and the model construction module respectively, and is used to divide the fracture model of the fractured oil well section into a plurality of fracture sub-models, and to screen the feature fracture sub-models according to the fracture length information;

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

[0052] Wherein, the crack prediction result includes a crack prediction direction, and the crack prediction direction is determined according to a trajectory prediction direction vector of a preset reference crack sub-model corresponding to the characteristic crack sub-model;

[0053] An output module is connected to the fracturing prediction module and is used to output the sequence of staged fracturing of oil well sections according to the result of the prediction sorting.

[0054] In practice, microwave scanning data can be acquired through a downhole detector. Downhole detectors with microwave scanning functions are widely used in downhole mapping, exploration and other fields. This is a prior art and will not be described in detail here.

[0055] Specifically, the present invention does not limit the model building module. In implementation, the model building module may be capable of collecting microwave scanning data and performing imaging processing based on the collected microwave data to complete the construction of the model, which will not be described in detail here.

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

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

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

[0059] Specifically, the present invention constructs a three-dimensional geometric model of the cracks in the oil well before fracturing through a model building module. It can be understood that the differences in cracks in the oil well before fracturing can represent the differences in geological conditions in the oil well. By modeling the existing cracks in the oil well, it is possible to screen the cracks with obvious data representation in each oil well section of the staged fracturing and perform modeling analysis.

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

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

[0062] The trajectory prediction direction vector takes the first point coordinates as a vector starting point and takes the second point coordinates as a vector ending point.

[0063] In implementation, 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 according to the coordinates of the first point and the coordinates of the second point is (x2-x1, y2-y1, z2-z1), and the vector is normalized so that its length is 1 to obtain the trajectory prediction direction vector.

[0064] Specifically, the present invention determines the trajectory prediction direction vector of each crack through a model analysis module. It can be understood that the trajectory prediction direction vector is determined by obtaining the first point coordinates of the connection position between the crack and the oil well section and the second point coordinates of the end point of the crack extension, and the crack direction information that was originally more abstract and difficult to accurately grasp is converted into intuitive vector information. This makes it possible to quantitatively analyze the extension direction of the crack in the oil well. Compared with the traditional method of relying on experience or roughly qualitatively judging the crack direction, the accuracy and scientificity of the description of the crack direction are greatly improved.

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

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

[0067] In implementation, the value of the preset vector angle threshold can be set according to the accuracy of the fracturing effect prediction. The larger the vector angle threshold value is, the more obvious the staggered effect of the fracture network formed by the fractures in the screened fracturing explicit oil well section is. Preferably, the vector angle threshold can be 20°.

[0068] Specifically, see Figure 2 As shown, it is a logic flow chart for determining the dominant oil well section for fracturing according to an embodiment of the present invention. The model analysis module determines the dominant oil well section for fracturing according to the direction comparison result, wherein:

[0069] If the direction comparison result meets the explicit screening condition, the model analysis module determines the oil well section as the fracturing explicit oil well section;

[0070] If the direction comparison result does not meet the explicit screening condition, 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 angle ratio exceeds a preset reference value of the angle ratio.

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

[0073] Specifically, the present invention determines the dominant oil well section for fracturing through a model analysis module. In a complex oil well structure, there may be multiple oil well sections with disordered fracture directions and oil well sections with relatively consistent fracture directions. By calculating the proportion of the number of vector angles with larger angles, the oil well sections with larger differences in fracture directions can be accurately found. It can be understood that the oil well sections with larger differences in fracture directions are more likely to form an effective fracture network after fracturing. Cracks in different directions can connect various parts of the oil layer like a three-dimensional net, thereby improving the production efficiency of the oil well.

[0074] Specifically, see Figure 3 As shown, it is a logic flow chart of selecting characteristic crack sub-models according to an embodiment of the present invention, wherein the characteristic screening module is further used to screen the crack sub-models whose length parameters do not exceed the length parameter comparison value as characteristic crack sub-models according to the length parameters corresponding to the crack sub-models;

[0075] The feature screening module does not screen the crack sub-models whose length parameters exceed 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 an average value of the length parameters corresponding to the three-dimensional geometric models of several fractures in the fracturing dominant oil well section.

[0077] Specifically, the present invention screens the characteristic fracture sub-model through the characteristic screening module. It can be understood that by screening the characteristic fracture sub-model according to the length parameter of the fracture sub-model, it is possible to accurately focus on those key fractures with relatively short lengths from numerous fractures. In the oil well fracturing scenario, these shorter fractures may often expand and extend in the subsequent fracturing process. The effects of expansion and extension will affect the overall fracturing effect. Screening them out as key analysis objects helps to eliminate the interference caused by some long cracks that have relatively small impact on the fracturing effect, and further, realizes the modeling and analysis of fractures with obvious data representation in each oil well section of staged fracturing.

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

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

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

[0081] Specifically, the present invention obtains the cracking prediction direction of each characteristic crack sub-model through the fracturing prediction module. It can be understood that two adjacent crack sub-models of the characteristic crack sub-model are used as preset reference crack 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 cracks. In actual oil well fracturing, the cracking direction of the crack does not exist in isolation, but will be affected by the surrounding geological conditions. The direction and distribution of adjacent cracks will guide or restrict the cracking trend of the target crack during fracturing. The cracking prediction direction determined in this way is more in line with the actual situation, and the fracturing effect of each section of the oil well is predicted according to the state of the existing cracks, thereby improving the scientific and precise planning of the fracturing construction sequence.

[0082] Specifically, the fracturing prediction module is also used to obtain the cracking 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 cracking prediction direction, and determine the average value of the deviation angle as the fracturing effect characterization value K of the fractured dominant oil well section.

[0083] Specifically, the fracturing prediction module is used to predict and sort the fracturing effects of the oil well sections according to the fracturing effect characterization value K;

[0084] The order of the prediction ranking is the order of the fracturing effect characterization values ​​from large to small.

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

[0086] In implementation, the display unit may be a display for displaying the sequence of staged fracturing of the oil well, which will not be described in detail here.

[0087] In implementation, the fracturing effect characterization value K is calculated for the four oil well sections Y1, Y2, Y3 and Y4. If the calculated fracturing effect characterization value K1 of the oil well section Y1 is 10°, the fracturing effect characterization value K2 of the well section Y2 is 18°, the fracturing effect characterization value K3 of the well section Y3 is 5°, and the fracturing effect characterization value K4 of the well section Y4 is 7°, then they are sorted from large to small according to the fracturing effect characterization value as Y2, Y1, Y4, Y3; the order of predicting and sorting the fracturing effects of the oil well sections is also Y2, Y1, Y4, Y3; the display unit performs segmented fracturing in the order of Y2, Y1, Y4, Y3 according to the displayed oil well sections.

[0088] Specifically, the present invention predicts and sorts the oil well sections according to the order of fracturing effect characterization values ​​from large to small through the fracturing prediction module and determines the staged fracturing sequence, which means that fracturing operations are first carried out on the oil well sections with relatively better predicted fracturing effects. Arranging the fracturing sequence can avoid the impact of changes in geological conditions caused by the fracturing process of other oil well sections on the oil well sections with relatively better fracturing effects, thereby improving the scientificity and precision of fracturing construction sequence planning and maximizing the oil well production efficiency.

[0089] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle 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 fall within the protection scope of the present invention.

[0090] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A control system for oil well fracturing, characterized in that: include: A model building module, used to obtain microwave scanning data around the oil well and establish a fracture model of each oil well section according to the microwave scanning data; A model analysis module, which is connected to the model construction module, is used to determine the trajectory prediction direction vector of each fracture according to the trajectory direction of each fracture in the fracture model, and determine the fracturing dominant oil well section according to the direction comparison results of several trajectory prediction direction vectors; A feature screening module, which is connected to the model analysis module and the model construction module respectively, and is used to divide the fracture model of the fractured oil well section into a plurality of fracture sub-models, and to screen the feature fracture sub-models according to the fracture length information; A fracturing prediction module, which is connected to the feature screening module and is used to predict and sort the fracturing effect of the oil well section based on the cracking prediction results of the feature fracture sub-model; Wherein, the crack prediction result includes a crack prediction direction, and the crack prediction direction is determined according to a trajectory prediction direction vector of a preset reference crack sub-model corresponding to the characteristic crack sub-model; An output module is connected to the fracturing prediction module and is used to output the sequence of staged fracturing of oil well sections according to the result of the prediction sorting.

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 parameter, length parameter and width parameter of the crack; The model building module builds a three-dimensional geometric model of several cracks in the oil well section based on the depth parameters, length parameters and width parameters of the cracks, and determines the model composed of the three-dimensional geometric models of several cracks and the three-dimensional geometric model of the oil well section as the crack 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, where: The model analysis module is also used to obtain the coordinates of a first point at the connection position between the fracture and the oil well section and the coordinates of a second point at the end position of the fracture extension, and determine the trajectory prediction direction vector according to the coordinates of the first point and the coordinates of the second point; The trajectory prediction direction vector takes the first point coordinates as a vector starting point and takes the second point coordinates as a vector ending 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 vector angle between each trajectory prediction direction vector and the remaining trajectory prediction direction vectors, calculates the proportion of the number of vector angles exceeding a preset vector 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 dominant oil well section according to the direction comparison result, wherein: If the direction comparison result meets the explicit screening condition, the model analysis module determines the oil well section as the fracturing explicit oil well section; The explicit screening condition is that the angle ratio exceeds a preset reference value of the angle ratio.

6. The control system for oil well fracturing according to claim 5, characterized in that: The characteristic screening module is also used to screen the crack sub-models whose length parameters do not exceed the length parameter comparison value as characteristic crack sub-models according to 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 an average value of the length parameters corresponding to the three-dimensional geometric models of several fractures in the fracturing dominant 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 fracture sub-models of the characteristic fracture sub-model as preset reference fracture sub-models corresponding to the characteristic fracture sub-model, and to add trajectory prediction direction vectors corresponding to the two preset reference fracture sub-models, and to determine the cracking prediction direction according to 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 cracking prediction direction of each characteristic crack sub-model, calculate the deviation angle between the direction of the trajectory prediction direction vector corresponding to the characteristic crack sub-model and the cracking prediction direction, and determine the average value of the deviation angle as the fracturing effect characterization value of the fracturing dominant 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 sort the fracturing effects of the oil well sections according to the fracturing effect characterization value; The order of the prediction ranking is the order of the fracturing effect characterization values ​​from large to small.

10. The control system for oil well fracturing according to claim 9, characterized in that: The output module also includes a display unit, which displays the order of staged fracturing of the oil well sections according to the order of the predicted sorting, and the order of staged fracturing is consistent with the order of the predicted sorting.

Images