CN117192628A - Deep fracture water-bearing stratum distribution identification method - Google Patents

Abstract

This application discloses a method for identifying the distribution of deep fractured water-bearing strata, which includes: drilling a number of geophysical exploration holes; lowering corresponding resistivity testing devices along the geophysical exploration holes to obtain stratigraphic data of the area to be tested; two groups based on any two geophysical exploration holes Based on the formation data, a cloud map of the formation resistivity between the holes is constructed; based on the formation resistivity cloud map between the holes, two sets of inversion stratigraphic data are obtained; based on the two sets of inversion formation data, two change regularity curves are obtained; based on the two sets of inversion formation data, The resistivity baseline value; based on the resistivity baseline value and two change curves, a change pattern is constructed; based on the change pattern, the distribution information of deep fractured water-bearing strata is obtained; this method can accurately identify the distribution of deep fractured water-bearing strata, It can visually display the changing trends and patterns of deep fractured water-bearing strata, and provide reliable guidance for the safe construction of deep underground projects.

Description

Distribution identification method of deep fractured water-bearing strata

Technical field

The present disclosure relates to the technical field of deep formation detection, and in particular to a method for identifying the distribution of deep fractured water-bearing formations.

Background technique

Water inrush and water inrush accidents occur from time to time during the construction of deep engineering projects. Research and engineering practice have shown that water damage has become the primary risk hazard in deep engineering construction. Therefore, it is necessary to improve the accuracy and reliability of engineering geology and hydrogeological detection in deep engineering areas. Safety is a prerequisite for scientifically evaluating water inrush risks and effectively controlling water damage.

At present, most deep projects rely on traditional water exploration holes to observe water conditions during construction. They can only observe water conditions, and the information obtained is only limited hydrological information. It is impossible to comprehensively assess the water conditions of the strata in front of the entire working face. It is impossible to quantitatively characterize the occurrence status of deep strata; without obtaining a complete picture of the entire stratum, it is difficult to accurately assess the risk of water inrush, which may result in the failure to detect and handle water inrush in the strata in front of the working face in a timely manner, greatly increasing the risk of safety accidents in the project. The safety of staff is extremely threatened.

Contents of the invention

In view of this, embodiments of the present disclosure provide a method for identifying the distribution of deep fractured water-bearing strata, which at least partially solves the problem in the prior art of being unable to obtain accurate distribution of deep fractured water-bearing strata.

Embodiments of the present disclosure provide a method for identifying the distribution of deep fractured water-bearing strata, which method includes:

Drill Q geophysical holes;

Corresponding resistivity test devices are lowered along the Q physical exploration holes to obtain Q sets of formation data in the area to be tested; each set of formation data includes a number of original resistivity data and a number of electrode coordinate data, and each of the original The resistivity data corresponds one-to-one with each electrode coordinate data;

Based on the two sets of formation data from any two geophysical holes, construct a formation resistivity cloud map between the holes;

Based on the inter-hole formation resistivity cloud map, two sets of inversion formation data are obtained; each set of the inversion formation data includes a number of inversion resistivity data and a number of inversion coordinate point data, and the inversion resistivity data One-to-one correspondence with the inversion coordinate point data;

Based on the two sets of inverted stratigraphic data, two change law curves were obtained;

Based on the two sets of inverted formation data, the resistivity baseline value is obtained;

Based on the resistivity baseline value and the two change law curves, a change law diagram is constructed;

Obtain distribution information of deep fractured water-bearing strata based on the change pattern;

Among them, Q≥2.

Optionally, the Q geophysical exploration holes are drilled in parallel at equal intervals and at equal depths, and the Q geophysical exploration holes are located in front of the deep engineering tunnel face;

The ratio of the depth of the geophysical exploration hole to the spacing between adjacent holes is 2.

Optionally, the resistivity testing device is a dedicated resistivity testing cable containing a preset number of electrodes;

The front end of the special resistivity test cable is equipped with a counterweight with a preset weight.

Optionally, based on the two sets of formation data of any two geophysical holes, constructing an inter-hole formation resistivity nephogram, including:

Eliminate the noise data in the two sets of formation data to obtain a first data set; the first data set includes several original resistivity data and corresponding electrode coordinate data after eliminating the noise data;

The tomography method is used to perform distributed iterative inversion imaging on the first data set to obtain the formation resistivity cloud map between the holes.

Optionally, based on the inter-hole formation resistivity cloud map, obtain two sets of inversion formation data, including:

Divide the inter-hole formation resistivity cloud map into a number of square grids of preset sizes;

The inverted stratigraphic data of the two groups of geophysical holes are respectively extracted according to the preset resistivity cloud chart scale.

Optionally, the number of inverted resistivity data is consistent with the number of original resistivity data.

Optionally, the resistivity baseline value is obtained based on the two sets of inverted formation data, including:

Two benchmark values are obtained based on the two sets of inverted stratigraphic data;

The average of the two reference values is the resistivity baseline value;

The base value is ,/> ;wherein,/> is the moisture content coefficient,/> For the first/> The number of measuring points in each object exploration hole,/> is the test point number,/> For the first/> Inverted resistivity data within individual geophysical exploration holes,/> is the inversion coordinate point data corresponding to the inversion resistivity data.

Optionally, the method also includes: using ultrasonic detection technology to determine whether the geophysical exploration hole contains water;

if, is 1;

If not, is -1.

Optionally, obtaining distribution information of deep fractured water-bearing strata based on the change pattern includes:

Based on the change pattern, obtain a first curve area and a second curve area where the two change pattern curves are lower than the resistivity baseline value;

The intersection area of the first curve area and the second curve area is obtained, which is the distribution area of the deep fractured water-bearing strata.

Optionally, the method also includes: obtaining the coordinates of all test points based on the intersection area;

Based on the coordinates of the test points, construct a formation partition fracture distribution map;

The abscissa of the formation zone fracture distribution map is the preset span, and the ordinate is the depth measurement.

The method for identifying the distribution of deep fractured water-bearing formations disclosed in this application can accurately identify the distribution of deep fractured water-bearing formations by acquiring multiple sets of formation data through drilling and resistivity testing devices, and constructing inter-hole formation resistivity cloud maps and inversion formation data. ; This method is based on multiple sets of original resistivity data and electrode coordinate data, and obtains resistivity information of deep strata through inverted stratigraphic data and inverted coordinate point data, thereby achieving multi-dimensional analysis of water-bearing strata; based on preset formulas and inversion stratigraphic data. This method can obtain the resistivity baseline value, and combine the two sets of inversion stratigraphic data to construct a change pattern. In this way, the change trends and patterns of deep fractured water-bearing strata can be intuitively displayed; by analyzing the change pattern , the distribution information of deep fractured water-bearing strata can be obtained, which is of great significance to engineering construction, geological exploration and other fields, and can provide scientific basis and reference for relevant decision-making.

The above description is only an overview of the technical solutions of the present disclosure. In order to have a clearer understanding of the technical means of the present disclosure, they can be implemented according to the content of the description, and to make the above and other objects, features and advantages of the present disclosure more obvious and understandable. , the following is a detailed description of the preferred embodiments, together with the accompanying drawings.

Description of the drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present disclosure, the drawings required to be used in the embodiments will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present disclosure and are not relevant to the present disclosure. Those skilled in the art can also obtain other drawings based on these drawings without exerting creative efforts.

Figure 1 is a schematic flowchart of a specific embodiment disclosed in this application.

Figure 2 is a schematic diagram of the drilling of two geophysical exploration holes in a specific embodiment disclosed in this application.

Figure 3 is a schematic flow chart of the method for constructing the formation resistivity cloud map between holes in Figure 1.

Figure 4 is a schematic diagram of a formation resistivity cloud diagram between holes in a specific embodiment disclosed in the present application.

Figure 5 is a schematic flow chart of the method for obtaining the resistivity baseline value in Figure 1.

Figure 6 is a schematic diagram of a change pattern in a specific embodiment disclosed in this application.

Figure 7 is a schematic flow chart of the method for obtaining distribution information of deep fractured water-bearing strata in Figure 1.

Figure 8 is a schematic diagram of the distribution information of the broken water-bearing strata in Figure 4.

Figure 9 is a schematic diagram of a formation zone fracture distribution map in a specific embodiment disclosed in the present application.

Detailed ways

The present disclosure will be described in further detail below in conjunction with the accompanying drawings and embodiments. It can be understood that the specific implementations described here are only used to explain the relevant content, but are not intended to limit the present disclosure. It should also be noted that, for convenience of description, only parts related to the present disclosure are shown in the drawings.

It should be noted that, as long as there is no conflict, the embodiments and features in the embodiments of the present disclosure can be combined with each other. The technical solutions of the present disclosure will be described in detail below with reference to the accompanying drawings and embodiments.

Unless otherwise specified, the illustrated exemplary embodiments/examples are to be understood as exemplary features providing various details of some manner in which the technical concepts of the present disclosure may be implemented in practice. Therefore, unless otherwise stated, features of various embodiments/embodiments may be additionally combined, separated, interchanged and/or rearranged without departing from the technical concept of the present disclosure.

The use of cross-hatching and/or shading in drawings is often used to make boundaries between adjacent parts clear. As such, unless stated otherwise, the presence or absence of cross-hatching or shading does not convey or indicate any knowledge of the specific materials, material properties, dimensions, proportions, commonalities between the components shown and/or any other characteristics of the components, Any preferences or requirements for attributes, properties, etc. Furthermore, in the drawings, the size and relative sizes of components may be exaggerated for clarity and/or descriptive purposes. While example embodiments may be implemented differently, a specific process sequence may be performed in a different order than that described. For example, two consecutively described processes may be performed substantially concurrently or in the reverse order of that described. In addition, the same reference numerals represent the same components.

When an element is referred to as being "on," "on," "connected to" or "coupled to" another element, it can be directly on, directly connected to, or directly connected to the other element. Either directly coupled to said other component, or intervening components may be present. However, when an element is referred to as being "directly on," "directly connected to" or "directly coupled to" another element, there are no intervening elements present. For this purpose, the term "connected" may refer to a physical connection, an electrical connection, etc., with or without intervening components.

For descriptive purposes, the present disclosure may use terms such as “under,” “under,” “under,” “under,” “over,” “on,” “on.” Spatially relative terms, such as "on", "higher" and "side (e.g., as in "sidewall"), are used to describe one component in relation to another (other) component as illustrated in the figures Relationship. In addition to the orientation depicted in the figures, spatially relative terms are intended to encompass various orientations of the device in use, operation, and/or manufacture. For example, if the device in the figures is turned over, elements described as "below" or "beneath" other elements or features would then be oriented "above" the other elements or features. Thus, the exemplary term "below" may encompass both orientations "above" and "below." Furthermore, the device may be otherwise oriented (e.g., rotated 90 degrees or at other orientations) and the spatially relative descriptors used herein interpreted accordingly.

The terminology used herein is for the purpose of describing particular embodiments and is not intended to be limiting. As used herein, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. Furthermore, when the terms "comprises" and/or "includes" and variations thereof are used in this specification, it is stated that the stated features, integers, steps, operations, parts, components and/or groups thereof are present but not excluded. One or more other features, integers, steps, operations, parts, components and/or groups thereof are present or appended. It is also noted that, as used herein, the terms "substantially," "approximately," and other similar terms are used as terms of approximation and not as terms of degree, and as such, they are used to explain what one of ordinary skill in the art would recognize. Inherent deviations from measured, calculated and/or supplied values.

Referring to Figure 1, this application provides a method for identifying the distribution of deep fractured water-bearing strata. The method includes the following steps:

S100, drill Q geophysical holes; among them, Q≥2.

S200, lower corresponding resistivity testing devices along Q physical exploration holes to obtain Q groups of formation data in the area to be tested;

Each set of formation data includes a number of original resistivity data and a number of electrode coordinate data, and each original resistivity data corresponds to each electrode coordinate data one-to-one.

S300, based on two sets of stratigraphic data from any two geophysical holes, constructs an inter-hole formation resistivity cloud map.

S400, based on the inter-hole formation resistivity cloud map, obtains two sets of inversion formation data; each set of inversion formation data includes several inversion resistivity data and several inversion coordinate point data, and the inversion resistivity data and inversion coordinates Point data corresponds one to one.

In this embodiment, the number of inverted resistivity data is consistent with the number of original resistivity data.

S500, obtain two change law curves based on two sets of inverted stratigraphic data;

Based on two sets of inversion stratigraphic data, the resistivity baseline value is obtained;

Based on the resistivity baseline value and two change pattern curves, a change pattern diagram is constructed;

S600: Obtain the distribution information of deep fractured water-bearing strata based on the change pattern.

The method for identifying the distribution of deep fractured water-bearing formations disclosed in this application can accurately identify the distribution of deep fractured water-bearing formations by acquiring multiple sets of formation data through drilling and resistivity testing devices, and constructing inter-hole formation resistivity cloud maps and inversion formation data. ; This method is based on multiple sets of original resistivity data and electrode coordinate data, and obtains resistivity information of deep strata through inverted stratigraphic data and inverted coordinate point data, thereby achieving multi-dimensional analysis of water-bearing strata; based on preset formulas and inversion stratigraphic data. This method can obtain the resistivity baseline value, and combine the two sets of inversion stratigraphic data to construct a change pattern. In this way, the change trends and patterns of deep fractured water-bearing strata can be intuitively displayed; by analyzing the change pattern , the distribution information of deep fractured water-bearing strata can be obtained, which is of great significance to engineering construction, geological exploration and other fields, and can provide scientific basis and reference for relevant decision-making.

In summary, this application can identify the existence status of strata in front of the tunnel face of deep engineering, and can efficiently identify the distribution of deep broken water-bearing strata, providing a reliable basis for the safe construction of deep underground engineering, and providing information for decision-making in related fields. An important reference with high practicality and application value.

In this embodiment, drilling two geophysical holes is taken as an example for detailed description.

Referring to Figure 2, two geophysical exploration holes are drilled in parallel at equal intervals and at equal depths, and both geophysical exploration holes are located in front of the deep engineering tunnel face.

In this embodiment, the resistivity testing device is preferably a dedicated cable for resistivity testing that includes a preset number of electrodes; in addition, a counterweight with a preset weight is installed at the front end of the dedicated cable for resistivity testing to ensure that it is lowered into place to obtain Valid test data.

Preferably, the counterweight is cylindrical, its diameter is no larger than the outer diameter of the special cable for resistivity testing, and its weight is preferably 5kg-10kg.

A special resistivity test cable is placed in each geophysical exploration hole, and 48 electrodes are arranged at equal intervals on each special resistivity test cable to obtain a sufficient amount of original resistivity data.

In this embodiment, the signal collection, sorting and storage of the special cable for resistivity testing are performed through a collection instrument.

In this embodiment, the ratio of the depth of the physical exploration hole to the spacing between adjacent holes is preferably 2; it should be noted that the spacing between adjacent holes here refers to the spacing between any two selected holes.

In this embodiment, the drilling deflection of the geophysical hole is not greater than 2%, and the hole diameter is larger than the outer diameter of the special cable for resistivity testing.

Referring to Figures 3 and 4, based on the two sets of formation data collected in geophysical hole 1 and geophysical hole 2, the formation resistivity cloud map between holes is constructed. The construction method specifically includes:

S310, remove the noise data from the two sets of formation data to obtain a first data set; the first data set includes several original resistivity data and corresponding electrode coordinate data after removing the noise data;

S320, use the tomography method to perform distribution iterative inversion imaging on the first data set to obtain the formation resistivity cloud map between the holes.

In this implementation, since the electrode coordinate data corresponds to the original resistivity data one-to-one, only the noise data of the original resistivity data in the formation data needs to be eliminated, leaving only the original resistivity data of the remaining non-noise data and the corresponding The electrode coordinate data is used as effective input data to obtain the inter-hole formation resistivity cloud map and extract the map quality.

Through the construction method of the inter-hole formation resistivity cloud map disclosed in this application, by eliminating the noise data in the formation data, the interference and errors of the data can be reduced, the accuracy and reliability of the results can be improved, and the true formation resistance can be better restored resistivity distribution; after removing the noise data, the first data set obtained includes clear original resistivity data and corresponding electrode coordinate data. These data can be used as input to the tomography method for distribution iterative inversion imaging; through layer Using the analytical imaging method, the inter-hole formation resistivity cloud map obtained can visually display the resistivity distribution of deep formations, which is very helpful for analyzing and understanding the properties and characteristics of deep fractured water-bearing formations, and provides information for subsequent geological exploration and engineering construction. Important reference.

In this embodiment, for obtaining two sets of inversion formation data, the specific method includes: dividing the inter-hole formation resistivity cloud map into a number of square grids of preset sizes; extracting two sets of resistivity cloud maps according to the scale of the preset resistivity cloud map. Inverse stratigraphic data from geophysical exploration holes.

Among them, the preset size can be 1m*1m.

Referring to Figure 5, in this embodiment, the method for obtaining the resistivity baseline value specifically includes the following steps:

A510 obtains two benchmark values based on two sets of inverted stratigraphic data and preset formulas;

A520, calculate the average of the two reference values, which is the resistivity baseline value.

The default formula is: .

in, is the base value,/> is the moisture content coefficient,/> For the first/> The number of measuring points in each object exploration hole,/> is the test point number,/> For the first/> Inverted resistivity data within individual geophysical exploration holes,/> is the inversion coordinate point data corresponding to the inversion resistivity data.

In this embodiment, the method for identifying the distribution of deep fractured water-bearing strata disclosed in this application also includes: using ultrasonic detection technology to determine whether there is water in the geophysical exploration hole. If so (that is, there is water in the geophysical exploration hole), then It is 1, if not (that is, there is no water in the geophysical hole), then/> is -1.

Referring to Figure 6, draw the two obtained change curves and the resistivity baseline value in the preset coordinates to obtain the change pattern between the resistivity and the baseline between two adjacent geophysical exploration holes. In this change pattern , the abscissa is the bathymetry (that is, the test point position extracted from the inter-hole formation resistivity cloud map), and the ordinate is the corresponding inversion resistivity data.

Referring to Figures 7 and 8, the method for obtaining distribution information of deep fractured water-bearing strata specifically includes the following steps:

S610, based on the change pattern diagram, obtain the first curve area and the second curve area where the two change pattern curves are lower than the resistivity baseline value;

S620: Obtain the intersection area of the first curve area and the second curve area, which is the distribution area of the deep fractured water-bearing strata.

In this embodiment, the area lower than the resistivity baseline value can be visually determined from the change pattern, and the distribution quantity and specific distribution location of the deep fractured water-bearing strata can be obtained. Through the analysis of its distribution quantity and distribution area , can accurately determine the location to be grouted and the amount of grouting at the corresponding position, and achieve fixed-point and quantitative grouting, which provides accurate guidance for actual construction, improves construction efficiency and grouting safety, and greatly reduces water inrush in subsequent construction. , the probability of water intrusion accidents.

In addition, compared with traditional data processing methods, this method simplifies the complex data analysis process to viewing the curve area of the change pattern, which can save time and labor costs and reduce the possibility of human errors.

Referring to Figure 9, the method for identifying the distribution of deep fractured water-bearing strata disclosed in this application also includes: obtaining the coordinates of all test points based on the intersection area in the change pattern diagram;

Plot the obtained coordinates of several test points in the cross-section coordinate system to obtain a stratigraphic zonal rupture distribution map. In this stratigraphic zonal rupture distribution map, the abscissa is the preset span and the ordinate is the depth measurement. That is, in this application, it is also The distribution area of deep fractured water-bearing strata can be reflected by the formation zone fracture distribution map, which is more intuitive and concise.

In the description of this specification, reference to the description of the terms "one embodiment/way", "some embodiments/way", "example", "specific example", or "some examples" etc. is meant to be in conjunction with the description of the embodiment/way. or examples describe specific features, structures, materials, or characteristics that are included in at least one embodiment/mode or example of the present application. In this specification, the schematic expressions of the above terms do not necessarily refer to the same embodiment/mode or example. Furthermore, the specific features, structures, materials or characteristics described may be combined in any suitable manner in any one or more embodiments/modes or examples. Furthermore, those skilled in the art may combine and combine different embodiments/ways or examples and features of different embodiments/ways or examples described in this specification unless they are inconsistent with each other.

In addition, the terms “first” and “second” are used for descriptive purposes only and cannot be understood as indicating or implying relative importance or implicitly indicating the quantity of indicated technical features. Therefore, features defined as "first" and "second" may explicitly or implicitly include at least one of these features. In the description of this application, "plurality" means at least two, such as two, three, etc., unless otherwise expressly and specifically limited.

Those skilled in the art should understand that the above-mentioned embodiments are only for clearly illustrating the present disclosure, but are not intended to limit the scope of the present disclosure. For those skilled in the art, other changes or modifications can be made based on the above disclosure, and these changes or modifications are still within the scope of the present disclosure.

Claims (10)

1. A method for identifying the distribution of deep fractured water-bearing strata, which is characterized by including: Drill Q geophysical holes; Corresponding resistivity test devices are lowered along the Q physical exploration holes to obtain Q sets of formation data in the area to be tested; each set of formation data includes a number of original resistivity data and a number of electrode coordinate data, and each of the original The resistivity data corresponds one-to-one with each electrode coordinate data; Based on the two sets of formation data from any two geophysical holes, construct a formation resistivity cloud map between the holes; Based on the inter-hole formation resistivity cloud map, two sets of inversion formation data are obtained; each set of the inversion formation data includes a number of inversion resistivity data and a number of inversion coordinate point data, and the inversion resistivity data One-to-one correspondence with the inversion coordinate point data; Based on the two sets of inverted stratigraphic data, two change law curves were obtained; Based on the two sets of inverted formation data, the resistivity baseline value is obtained; Based on the resistivity baseline value and the two change law curves, a change law diagram is constructed; Obtain distribution information of deep fractured water-bearing strata based on the change pattern; Among them, Q≥2. 2. The method for identifying the distribution of deep fractured water-bearing strata according to claim 1, characterized in that the Q geophysical holes are drilled in parallel at equal intervals and at equal depths, and the Q geophysical holes are all located at the deep engineering tunnel face. the front; The ratio of the depth of the geophysical exploration hole to the spacing between adjacent holes is 2. 3. The deep fractured water-bearing formation distribution identification method according to claim 2, characterized in that the resistivity testing device is a dedicated resistivity testing cable containing a preset number of electrodes; The front end of the special resistivity test cable is equipped with a counterweight with a preset weight. 4. The deep fractured water-bearing formation distribution identification method according to claim 1, characterized in that, based on the two sets of formation data of any two of the geophysical exploration holes, a formation resistivity nephogram between holes is constructed, including: Eliminate the noise data in the two sets of formation data to obtain a first data set; the first data set includes several original resistivity data and corresponding electrode coordinate data after eliminating the noise data; The tomography method is used to perform distributed iterative inversion imaging on the first data set to obtain the formation resistivity cloud map between the holes. 5. The deep fractured water-bearing formation distribution identification method according to claim 4, characterized in that, based on the inter-hole formation resistivity cloud image, two sets of inversion formation data are obtained, including: Divide the inter-hole formation resistivity cloud map into a number of square grids of preset sizes; The inverted stratigraphic data of the two groups of geophysical holes are respectively extracted according to the preset resistivity cloud chart scale. 6. The deep fractured water-bearing formation distribution identification method according to claim 5, characterized in that the number of the inverted resistivity data is consistent with the number of the original resistivity data. 7. The deep fractured water-bearing formation distribution identification method according to claim 5, characterized in that the resistivity baseline value is obtained based on the two sets of inversion formation data, including: Two benchmark values are obtained based on the two sets of inverted stratigraphic data; The average of the two reference values is the resistivity baseline value; The base value is ,/> ;wherein,/> is the moisture content coefficient,/> For the first/> The number of measuring points in each object exploration hole,/> is the test point number,/> For the first/> Inverted resistivity data within individual geophysical exploration holes,/> is the inversion coordinate point data corresponding to the inversion resistivity data. 8. The deep fractured water-bearing formation distribution identification method according to claim 7, characterized in that the method further includes: using ultrasonic detection technology to determine whether the geophysical exploration hole contains water; if, is 1; If not, is -1. 9. The method for identifying the distribution of deep fractured water-bearing strata according to claim 8, characterized in that said obtaining the distribution information of deep fractured water-bearing strata based on the change pattern includes: Based on the change pattern, obtain a first curve area and a second curve area where the two change pattern curves are lower than the resistivity baseline value; The intersection area of the first curve area and the second curve area is obtained, which is the distribution area of the deep fractured water-bearing strata. 10. The method for identifying the distribution of deep fractured water-bearing strata according to claim 9, characterized in that the method further includes: obtaining the coordinates of all test points based on the intersection area; Based on the coordinates of the test points, construct a formation partition fracture distribution map; The abscissa of the formation zone fracture distribution map is the preset span, and the ordinate is the depth measurement.