A casing well position detection method based on ultra-deep electromagnetic wave logging while drilling

Abstract

This invention discloses a method for detecting the location of casing wells based on ultra-deep electromagnetic logging while drilling, belonging to the field of oil and gas field development. The method includes the following steps: s1, selecting and determining the use of ultra-deep harmonic anisotropic attenuation (UHAA) signals for casing well location detection; s2, creating a chart showing the relationship between the casing well location and the UHAA signal; s3, establishing the relationship between single-point response and casing well location; s4, selecting single-point or multi-point determination methods based on field conditions to obtain the UHAA signal, and then preliminarily determining the casing well location and its azimuth angle based on s2 and s3; s5, performing layered formation influence correction and wellbore non-parallelism influence correction on the casing well location and azimuth angle preliminarily determined in s4, ultimately determining the precise location and azimuth angle of the casing well. This invention can accurately determine the location of casing wells, providing important support for horizontal well neighbor well identification and collision prevention monitoring in oil and gas field development.

Description

Technical Field

[0001] This invention relates to the field of oil and gas field development, and more specifically to a method for detecting the location of casing wells based on ultra-deep drilling electromagnetic wave logging. Background Technology

[0002] With the deepening of oil and gas exploration and the secondary development of old oilfields, the proportion of cluster wells, infill wells and horizontal wells has increased significantly. In the complex drilling process, how to detect and locate existing casing wells in real time and accurately has become the key to ensuring drilling safety and improving oil and gas recovery. The traditional measurement while drilling method uses fluxgate sensors to detect magnetic interference generated by adjacent wells. In practical applications, it has the following limitations: (1) The sensing range of adjacent well casings is limited, and it can only achieve short-range identification, which is difficult to meet the detection of target casings tens of meters away in ultra-deep and large-scale applications; (2) It is difficult to accurately identify and determine the casing wells and their orientation, which can easily lead to misjudgment. Summary of the Invention

[0003] To address the aforementioned technical problems, this invention proposes a method for detecting the location of casing wells based on ultra-deep drilling electromagnetic wave logging.

[0004] The technical solution adopted in this invention is: A method for detecting the location of a casing well based on ultra-deep drilling electromagnetic wave logging includes the following steps: s1. After screening, it was determined that the ultra-deep harmonic anisotropic attenuation signal, i.e., the UHAA signal, would be used for casing well location detection. s2. Create a chart showing the relationship between the casing well location and the UHAA signal; s3. Establish the relationship between single-point response and casing well location; s4. Select single-point or multi-point determination method to measure according to the site conditions, obtain UHAA signal, and then preliminarily determine the location of the casing well and the azimuth angle of the casing well based on s2 and s3. s5. Correct the layered formation influence and wellbore non-parallelism influence of the casing well position and azimuth angle initially determined in s4, and finally determine the precise position and azimuth angle of the casing well.

[0005] The beneficial technical effects of the present invention are as follows: As shown above, this invention describes a method for detecting the location of a casing well near a horizontal well based on ultra-deep drilling electromagnetic wave logging. This method improves the theoretical guidance of ultra-deep drilling electromagnetic wave logging by accurately constructing formation and instrument models. Based on the detection mode and definition of ultra-deep drilling electromagnetic wave logging, it analyzes the response characteristics of single-component and synthetic signals, extracts key sensitive signals, determines the relationship between signal response and casing well orientation, and plots the relationship between signal and casing distance under different conditions according to actual formation conditions. It fully considers the influence of instrument frequency, source distance, formation resistivity, and casing resistivity to accurately determine the distance from the casing well to the instrument. Based on the actual situation, it selects single-point measurement, two-point measurement, or multi-point measurement, determines the location of the casing well by angle, further analyzes the influence of layered formations and wellbore non-parallelism, corrects the data, and transitions it to the response in homogeneous formations, thereby obtaining the accurate location of the casing well through existing charts.

[0006] This invention overcomes the inaccuracy of traditional measurement-while-drilling (MWD) detection, and fully leverages the advantages of ultra-deep MWD electromagnetic wave logging technology, such as its long detection range and sensitivity to azimuth resistivity. Depending on the actual situation, it can select single-point measurement or use the signal responses of two points to determine two angles, thereby determining the accurate location of the casing well. This provides important support for horizontal well neighbor well identification and collision prevention monitoring in oil and gas field development. Attached Figure Description

[0007] Figure 1 The flowchart below shows a method for detecting the location of a casing well based on ultra-deep drilling electromagnetic wave logging according to the present invention. Figure 2 This is a schematic diagram of an ultra-deep drilling electromagnetic wave logging detection model constructed from homogeneous formations in this invention. Figure 3 This is a signal response diagram of the instrument rotating in this invention; where a represents one revolution of the instrument. Real response plot of the signal, b represents one revolution of the instrument. The signal imaginary part response diagram, where c represents one revolution of the instrument. Real response plot of the signal, where d represents one revolution of the instrument. The signal imaginary part response diagram, e is the UHAA signal response diagram for one rotation of the instrument, f is the UHAP signal response diagram for one rotation of the instrument; Figure 4 A graph showing the variation of UHAA (Ultra-High Ambient Air) with distance from the casing well to the instrument under different formation resistivity conditions; Figure 5 The graphs show the variation of UHAA with different factors; where a is the variation of UHAA with frequency, b is the variation of UHAA with source distance, c is the variation of UHAA with formation resistivity under different frequency source distances, and d is the variation of UHAA with casing conductivity. Figure 6This is a top view diagram of the two-point positioning method; Figure 7 This is a schematic diagram of the construction and calibration fitting of the well logging detection model; where a is a schematic diagram of the layered formation construction of the ultra-deep drilling electromagnetic wave well logging detection model in this invention; b is a calibration fitting diagram; Figure 8 The diagram shows the variation of UHAA with wellbore deviation angle in the non-parallel construction of the wellbore detection model in the logging exploration model of ultra-deep drilling. Among them, a is a schematic diagram of the non-parallel construction of the wellbore in the ultra-deep drilling electromagnetic wave logging exploration model of the present invention; b is a diagram showing the variation of UHAA with wellbore deviation angle under different resistivity conditions in a homogeneous formation. Detailed Implementation

[0008] Compared to conventional drilling tools, ultra-deep drilling electromagnetic wave logging technology has a greater detection depth; the metal casing (which is used for both the installation and installation of casing in drilling) has a high resistivity contrast with the surrounding formation, and ultra-deep drilling electromagnetic wave logging technology is highly sensitive to azimuth resistivity. It can not only accurately calculate the radial distance of existing casing wells next to the well, but also determine their spatial orientation, providing long-distance, high-precision spatial positioning for the complex trajectory control of horizontal wells.

[0009] Based on this, the present invention proposes a casing well location detection method based on ultra-deep drilling electromagnetic wave logging, which includes the following steps: s1, constructing a three-dimensional formation model; s2, setting formation physical parameters, wellbore geometric parameters, and casing structure and material parameters; s3, performing simulation calculations based on electromagnetic field theory to obtain the electromagnetic field distribution law in the casing well environment; s4, extracting each single component measurement signal from the simulation results, calculating the composite signal, and selecting the signal with the best effect; s5, establishing a chart showing the relationship between casing location and signal; s6, analyzing and determining the correspondence between single-point measurement response and casing well spatial location; s7, selecting single, two, or more points for measurement response according to the actual situation; s8, extracting the angle of the casing based on the signal response; s9, correcting the measurement deviation caused by layered formations; s10, correcting the influence caused by wellbore non-parallelism; s11, combining the corrected signal and chart information to determine the casing well location.

[0010] The present invention will be further described below with reference to the accompanying drawings and specific embodiments.

[0011] like Figure 1 As shown in the figure, this embodiment describes a method for detecting the location of a casing well based on ultra-deep drilling electromagnetic wave logging. The method includes the following steps: s1. Construct a three-dimensional geological model: Build the initial three-dimensional spatial geological environment for simulation; like Figure 2As shown, taking a single-transmitter, single-receiver instrument in a homogeneous formation model as an example, the logging instrument is placed parallel to the formation interface to establish an ultra-deep drilling electromagnetic wave advance detection model. The model is based on a spatial rectangular coordinate system (x, y, z), with the wellbore parallel to the layer interface between the target layer and the layer where the instrument is located.

[0012] s2. Parameter settings: Set formation parameters, instrument parameters, and wellbore parameters in the model; Formation parameters include formation resistivity; instrument parameters include instrument frequency and instrument source distance; wellbore parameters include wellbore diameter (the diameter of the wellbore where the instrument is located), casing well inner diameter, casing well outer diameter, and metal casing resistivity.

[0013] like Figure 2 As shown, the resistivity of the homogeneous layer is R, the instrument source distance is L, the instrument frequency is F, the resistivity of the bushing is r, and the distance from the bushing to the instrument is D.

[0014] s3. Numerical simulation: Based on the drilling electromagnetic wave advance detection model and Maxwell's equations in the spatial domain, perform electromagnetic field numerical simulation calculations on the three-dimensional formation model, extract the single-component signals generated by the simulation, and calculate the composite signal components. s3.1 Based on the drilling electromagnetic wave advance detection model and Maxwell's equations in the spatial domain, calculate... direction, direction, Directional dipole source excitation, then direction, direction, The nine components obtained from the direction reception: ; ; ; ; In the formula, Represented as Directional magnetic field strength; Represented as Directional magnetic field strength; Represented as Directional magnetic field strength; Represents the imaginary part operator; Angular frequency, expressed in rad / s; Permeability; express Hertzian vector function of directional dipole source excitation; express Hertzian vector function of directional dipole source excitation; express Hertzian vector function of directional dipole source excitation; Represents the complex horizontal conductivity, with units of S / m; Represents the anisotropy coefficient; for Directional stimulation The magnetic field strength component received in the direction, in A / m; In and Selected from x, y, and z respectively, such as The magnetic field strength component received in the y direction is excited in the x direction.

[0015] s3.2 Perform spatial coordinate transformation to obtain the measured response value for each angle; The formation and the instrument are in different coordinate systems, resulting in a deviation angle. The rotation matrix is ​​denoted as : ; Simultaneously, the instrument itself rotates, and the angle is recorded as... The rotation matrix is ​​denoted as : ; Therefore, the rotation matrix for coordinate transformation is: : ; The obtained magnetic field signal is : ; The final magnetic field signal is obtained: In the formula, ; s3.3. Synthetic signals are obtained based on the ultra-deep drilling azimuth electromagnetic wave logging detection mode and definition method: ; In the formula, USDA represents ultra-deep boundary detection attenuation; USDP represents ultra-deep boundary detection phase shift; UADA represents ultra-deep tilt detection attenuation; UADP represents ultra-deep tilt detection phase shift; UHRA represents ultra-deep harmonic resistivity attenuation; UHRP represents ultra-deep harmonic resistivity phase shift; UHAA represents ultra-deep harmonic anisotropic attenuation; and UHAP represents ultra-deep harmonic anisotropic phase shift. For imaginary part operators; Angular frequency, rad / s; Permeability, H / m; Let be the current of the transmitting antenna, in A; This refers to the number of turns of the transmitting antenna. For the area of ​​the transmitting antenna, m 2 ; This refers to the number of turns of the receiving antenna. For the receiving antenna area, m 2 ; for Directional stimulation The magnetic field strength component received in the direction, in A / m; In and The values ​​are selected from x, y, and z, respectively.

[0016] s4. Signal optimization: Optimize the signals from step s3 to obtain parameters that are sensitive to the casing well; The specific steps are as follows: plot the curve changes of the final magnetic field signal and the composite signal with the instrument rotating one revolution from 0 to 360°, and select the UHAA signal as the preferred signal for casing well location detection based on the curve changes.

[0017] like Figure 3 As shown, Signal, Signals and UHAA signals (UHAA is generated by...) and (Calculated), the angle corresponding to the extreme value of the signal indicates the azimuth of the casing well.

[0018] s5. Diagram Creation: Create a diagram showing the relationship between the sleeve position and the signal; s5.1 Changing the distance from the sleeve to the instrument will affect the signal components (changing the distance will change all signal components, such as...). The response value will change with distance, and the UHAA response value for each different distance can be calculated.

[0019] s5.2. Plot a graph showing the UHAA response value as a function of casing distance. Based on different formation resistivity conditions and different source distances and frequencies, plot different UHAA attenuation graphs. Determine the casing-to-instrument distance based on this graph according to the actual situation. For example... Figure 4 As shown, a graph was plotted to show the change of UHAA with casing distance by continuously changing the distance from casing to instrument. The graph shows that UHAA decreases as the distance from casing to instrument increases, and UHAA has no response when the casing distance is large. Based on this graph, the distance from casing to instrument can be determined.

[0020] s6. Establish response relationship: Establish the relationship between single-point response and casing well location; s6.1. With the instrument resistivity fixed, the instrument frequency and source distance are changed to simulate the response. The change in UHAA response with instrument frequency and source distance is obtained through steps s3.1 to s3.3. For example... Figure 5 As shown in Figure a, UHAA initially increases at low frequencies, then gradually decreases as the frequency increases; as... Figure 5 As shown in Figure b, UHAA increases with increasing source distance.

[0021] s6.2. Change the formation resistivity and simulate the response. Obtain the change in UHAA with formation resistivity through steps s3.1 to s3.3. For example... Figure 5 As shown in Figure c, the response characteristics of UHAA amplitude differ under different frequencies and source distances, but they all show a common pattern of first increasing and then decreasing with increasing formation resistivity.

[0022] s6.3. Change the bushing conductivity and simulate the response. Through steps s3.1 to s3.3, obtain the change in UHAA response with bushing conductivity, such as... Figure 5 As shown in d, UHAA increases with the increase of bushing conductivity.

[0023] This step is the foundation of S7 and can determine the relationship between the casing well and the signal, such as determining the casing well corresponding to the UHAA extreme point.

[0024] s7. Response Measurement: Select one of the following methods—single-point determination, two-point determination, or multi-point determination—to measure the response based on the site conditions. s7.1 If the relative angle of the casing well to a certain position is known, then that position is used as the measuring point. Signal measurement is performed at this position. An excitation signal is generated by an electromagnetic emission source and applied to the casing. The response generated by the casing is received at the receiving point. The UHAA response is obtained through steps s3.1 to s3.3. The distance between the casing well and the measuring point is deduced from the UHAA attenuation chart obtained in step s5.2.

[0025] s7.2 If the location and distance of an existing casing well cannot be determined, a two-point or multi-point detection method shall be used to determine it.

[0026] s7.2.1. Randomly select a measurement point and perform signal detection. Obtain the UHAA response through steps s3.1 to s3.3. Obtain the possible angle of the casing well through step s4.2 (there are two angles in actual measurement, but they are 180° apart and are on a straight line, which is the intersection of the two lines).

[0027] s7.2.2. Take any point that does not overlap with measuring point one as measuring point two. Perform signal measurement at this position. Generate an excitation signal through an electromagnetic emission source and apply it to the casing. Receive the response generated by the casing at the receiving point. Obtain the UHAA response through steps s3.1 to s3.3. Obtain the possible angle of the casing well through step s4.2.

[0028] s7.2.3 Based on the casing well angle obtained in steps s7.2.1 and s7.2.2, such as Figure 6 As shown, the intersection of the two lines drawn along this angle is the location of the casing well. The distance between the casing well and the measuring point is deduced from the UHAA decay chart obtained in step s5.2. In actual situations, the distance from the wellbore to the casing well needs to be obtained. The size of the UHAA corresponds to different distances. The UHAA values ​​of the two measuring points are different, and the corresponding distances are also different. Therefore, it is the distance between the two measuring points.

[0029] s7.2.4 After the measurements in steps s7.2.2 and s7.2.3, the position of the measuring point is changed multiple times. The UHAA response is obtained through steps s3.1 to s3.3. The possible angle of the casing well is obtained through step 4.2. A straight line is drawn based on the response of multiple points. The intersection of the straight lines of all measuring points is the location of the casing well (this is to verify its location more accurately, because there may be two or more measuring points, so the straight lines of all measuring points intersect at a certain point, i.e., the common intersection point). The distance between the casing well and the measuring point is deduced from the UHAA attenuation chart obtained in step s5.2.

[0030] s8. Angle extraction: Extract the azimuth angle of the casing well based on the measured signal response.

[0031] s9. Impact Correction: Perform layered formation impact correction on the extracted data; s9.1 Establish layered formations and set layered formation parameters, wellbore parameters, and instrument parameters; like Figure 7 As shown in Figure a, the resistivity of the formation where the casing well is located is set to R1, the resistivity of the formation where the instrument is located is set to R2, the resistivity of the metal casing is set to r, the instrument frequency is F, the source distance is L, the distance between the instrument and the casing is D, the distance from the instrument to the formation interface is D1, and the distance from the casing to the formation interface is D2.

[0032] s9.2 Perform stratigraphic correction; s9.2.1 In layered formations, change the resistivity of the layer where the casing is located. Without casing, measure with the instrument and obtain the UHAA response through steps s3.1 to s3.3.

[0033] s9.2.2 In layered formations, change the resistivity of the layer where the casing is located. In the presence of the casing, measure the UHAA response through steps s3.1 to s3.3.

[0034] s9.2.3 In a homogeneous formation, with the formation conditions as described in s9.1, and with casing present, the instrument measures and obtains the UHAA response through steps s3.1 to s3.3.

[0035] s9.3.4, such as Figure 7 As shown in Figure b, the value obtained by subtracting the UHAA response obtained in step s9.2.2 from the UHAA response obtained in step s9.2.3 is numerically fitted with the UHAA response obtained in step s9.2.1 (the purpose of numerical fitting is to verify the accuracy of the correction equation). R 2 The accuracy reached 0.88, which is relatively high. The response of the layered formation was corrected to the response in the homogeneous formation where the instrument is located using the correction equation, as shown in Table 1 below.

[0036] Table 1 As can be seen from Table 1, after data correction for the 80Ω·m layered strata and the 200Ω·m layered strata, the error of the 80Ω·m layered strata decreased from 22.3% to 0.19%, and the error of the 200Ω·m layered strata decreased from 26.9% to 0.99%.

[0037] s10, Impact Correction: Perform wellbore non-parallelism impact correction on the extracted data; s10.1 Establish a homogeneous sublayer, and set the layered formation parameters, wellbore parameters, and instrument parameters.

[0038] s10.1.1, such as Figure 8 In step a, the resistivity of the homogeneous formation is set to R, the resistivity of the metal casing is set to r, and the casing well deviation angle is . Set the instrument frequency to F, the source distance to L, and the distance between the instrument and the casing well to D.

[0039] s10.1.2. Sequentially change the casing well deviation angle, measure it with an instrument, and obtain the UHAA response through steps s3.1 to s3.3. Plot the curve of UHAA as a function of deviation angle, as shown below. Figure 8 As shown in Figure b, the UHAA response is significantly reduced, decreasing rapidly in the small angle range.

[0040] s10.1.3. Change the resistivity of the homogeneous formation and measure it with an instrument. Obtain the UHAA response through steps s3.1 to s3.3, and plot the curve of UHAA as a function of deviation angle under different formation resistivity conditions.

[0041] s10.1.4. Based on the formation resistivity and the curve of UHAA changing with deviation angle under different formation resistivity conditions, perform wellbore non-parallel correction. Substitute the corrected value into the UHAA decay chart with distance obtained through step s5.2 to obtain the accurate casing well distance.

[0042] Specifically, the correction can be performed based on the actual situation, either by correcting for the influence of layered formations or by correcting for the influence of wellbore non-parallelism. These two correction methods are relatively independent. If there are layered formations, the correction should be performed; if there are wellbore non-parallelisms, the correction should be performed.

[0043] s11. Location Confirmation: Based on the above correction results, the precise location of the casing well is finally determined.

[0044] Of course, the above description is only a preferred embodiment of the present invention. The present invention is not limited to the above-described embodiments. It should be noted that any equivalent substitutions or obvious modifications made by those skilled in the art under the guidance of this specification fall within the scope of this specification and should be protected by the present invention.

Claims

1. A method for detecting the location of a casing well based on ultra-deep drilling electromagnetic wave logging, characterized in that... Includes the following steps: s1. After screening, it was determined that the ultra-deep harmonic anisotropic attenuation signal, i.e., the UHAA signal, would be used for casing well location detection. s2. Create a chart showing the relationship between the casing well location and the UHAA signal; s3. Establish the relationship between single-point response and casing well location; s4. Select single-point or multi-point determination method to measure according to the site conditions, obtain UHAA signal, and then preliminarily determine the location of the casing well and the azimuth angle of the casing well based on s2 and s3. s5. Based on the preliminary determination of the casing well location and azimuth angle in s4, the influence of layered formations or the influence of wellbore non-parallelism are corrected according to the actual situation, and the precise location and azimuth angle of the casing well are finally determined.

2. The method for detecting the location of a casing well based on ultra-deep drilling electromagnetic wave logging according to claim 1, characterized in that, In s1: The formula for calculating the UHAA signal is as follows: ； in: ; ; In the formula, For imaginary part operators; Angular frequency, rad / s; Permeability, H / m; Let be the current of the transmitting antenna, in A; This refers to the number of turns of the transmitting antenna. For the area of ​​the transmitting antenna, m 2 ; This refers to the number of turns of the receiving antenna. For the receiving antenna area, m 2 ; The magnetic field strength component excited in the x-direction and received in the x-direction is expressed in A / m. The magnetic field strength component excited in the y-direction and received in the y-direction is expressed in A / m.

3. The method for detecting the location of a casing well based on ultra-deep drilling electromagnetic wave logging according to claim 2, characterized in that, In s1, the filtering steps are as follows: s11. Construct a three-dimensional stratigraphic model; The logging instrument is placed parallel to the formation interface to establish a three-dimensional formation model for ultra-deep drilling electromagnetic wave advance detection. The model is based on a spatial rectangular coordinate system (x, y, z), and the wellbore is parallel to the layer interface between the target layer and the layer where the logging instrument is located. s12, Configure parameters; Set formation parameters, instrument parameters, and wellbore parameters in the three-dimensional formation model; Formation parameters include formation resistivity; instrument parameters include instrument frequency and instrument source distance; wellbore parameters include wellbore diameter, casing well inner diameter, casing well outer diameter, and metal casing resistivity. s13. Perform numerical simulation; Based on the three-dimensional formation model and Maxwell's equations in the spatial domain of ultra-deep drilling electromagnetic wave advance detection, electromagnetic field numerical simulation calculations are performed on the three-dimensional formation model, single-component signals generated by the simulation are extracted, and composite signals are calculated. The specific steps are as follows: s131. Based on the three-dimensional formation model and Maxwell's equations in the spatial domain of ultra-deep drilling electromagnetic wave advance detection, calculate... direction, direction, Directional dipole source excitation, then direction, direction, The direction of reception yields nine components: ； ； ； ； In the formula, for Directional stimulation The magnetic field strength component received in the direction, in A / m; and Selected from x, y, and z respectively; express Directional magnetic field strength; express Directional magnetic field strength; express Directional magnetic field strength; Represents the imaginary part operator; Angular frequency, expressed in rad / s; Permeability; express Hertzian vector function of directional dipole source excitation; express Hertzian vector function of directional dipole source excitation; express Hertzian vector function of directional dipole source excitation; Represents the complex horizontal conductivity, with units of S / m; Represents the anisotropy coefficient; s132. Perform spatial coordinate transformation to obtain the measured response value for each angle; The specific steps are as follows: The formation and the instrument are in different coordinate systems, resulting in a deviation angle. The rotation matrix is ​​denoted as : ； Simultaneously, the instrument itself rotates, and the angle is recorded as... The rotation matrix is ​​denoted as : ； Therefore, the rotation matrix for coordinate transformation is: : ； The obtained magnetic field signal is : ； The final magnetic field signal is obtained: ； ； ； ； ； ； ； ； ； In the formula, ; S133, Obtain the synthesized signal: ； In the formula, USDA represents ultra-deep boundary detection attenuation; USDP represents ultra-deep boundary detection phase shift; UADA represents ultra-deep tilt detection attenuation; UADP represents ultra-deep tilt detection phase shift; UHRA represents ultra-deep harmonic resistivity attenuation; UHRP represents ultra-deep harmonic resistivity phase shift; UHAA represents ultra-deep harmonic anisotropic attenuation; and UHAP represents ultra-deep harmonic anisotropic phase shift. and In and Selected from x, y, and z respectively; s14. Filter the signals obtained in s13 to obtain parameters that are sensitive to the casing well; The specific steps are as follows: Plot the curves of the signals obtained from s132 and s133 as the instrument rotates one full turn from 0 to 360°. Based on the curves, select the UHAA signal as the preferred signal for detecting the location of the casing well. Signal, The angles corresponding to the maximum values ​​of the signal and the UHAA signal indicate the azimuth of the casing well.

4. The method for detecting the location of a casing well based on ultra-deep drilling electromagnetic wave logging according to claim 3, characterized in that, s2 includes the following steps: s21. By changing the distance from the casing well to the instrument, the signal components will change with the distance, thereby calculating the UHAA response value at each different distance; s22. Plot a graph showing the change of UHAA response value with casing distance. Specifically, plot different UHAA attenuation graphs based on different formation resistivity conditions, source distances, and frequencies. Determine the distance from the casing to the instrument based on the above UHAA attenuation graphs according to the actual situation.

5. The method for detecting the location of a casing well based on ultra-deep drilling electromagnetic wave logging according to claim 4, characterized in that, S3 includes the following steps: s31. With the instrument resistivity fixed, the instrument frequency and source distance are changed to simulate the response. The UHAA response value is obtained as the instrument frequency and source distance change through s131 to s133. s32. Change the formation resistivity and simulate the response. From s131 to s133, obtain the UHAA response value as a function of formation resistivity. s33. Change the bushing conductivity and simulate the response. From s131 to s133, obtain the UHAA response value as a function of bushing conductivity.

6. The method for detecting the location of a casing well based on ultra-deep drilling electromagnetic wave logging according to claim 5, characterized in that, S4 includes the following steps: s41. If the angle of the casing well relative to a certain position is known, then that position is used as the measuring point. Signal measurement is performed at this position. An excitation signal is generated by an electromagnetic emission source and applied to the casing. The response generated by the casing is received at the receiving point. The UHAA response value is obtained through s131 to s133. Then, the distance of the casing well from the measuring point is deduced from the graph of the relationship between the casing well position and the UHAA signal obtained by s2. s42. If the location and distance of an existing casing well cannot be determined, a two-point or more-point detection method shall be used to determine it. s421. Randomly select a measurement point, perform signal detection, and obtain the UHAA response value through s131 to s133. Obtain the possible angle of the casing well through s14. s422. Take any point that does not overlap with measuring point one as measuring point two. Perform signal measurement at this position. Generate an excitation signal through an electromagnetic emission source and apply it to the casing. Receive the response generated by the casing at the receiving point. Obtain the UHAA response value through s131 to s133. Obtain the possible angle of the casing well through s14. s423. Based on the casing well angle obtained from s421 and s422, draw two lines along this angle. The intersection of these two lines is the location of the casing well. The distance of the casing well from the measuring point can be deduced by using the graph of the relationship between the casing well location obtained from s2 and the UHAA signal. After measurements by s424 and s422, the position of the measuring point was changed multiple times. The UHAA response value was obtained by s131 to s133. The possible angle of the casing well was obtained by s14. A straight line was drawn by the response of multiple points. The intersection of the straight lines of all measuring points is the location of the casing well. The distance of the casing well from the measuring point was deduced by the UHAA attenuation chart with distance obtained by s2.

7. The method for detecting the location of a casing well based on ultra-deep drilling electromagnetic wave logging according to claim 6, characterized in that, The correction for the influence of layered strata in S5 includes the following steps: s51. Establish a layered bottom layer and set layered formation parameters, wellbore parameters, and instrument parameters; s52. Perform stratigraphic correction; s521. In layered formations, change the resistivity of the layer where the casing is located. Without casing, measure with the instrument and obtain the UHAA response value through s131 to s133. s522. In layered formations, change the resistivity of the layer where the casing is located. With the casing present, measure the UHAA response value through s131 to s133. s523. In a homogeneous formation, with the formation conditions being the same as the instrument location in s51, and with casing present, the instrument measures and obtains the UHAA response value through s131 to s133. s524. Subtract the UHAA response obtained from s522 from the UHAA response obtained from s523 and perform numerical fitting with the UHAA response obtained from s521. Through the correction equation, the response of the layered formation is corrected to the response in the homogeneous formation where the instrument is located.

8. The method for detecting the location of a casing well based on ultra-deep drilling electromagnetic wave logging according to claim 7, characterized in that, The correction of wellbore non-parallelism in S5 includes the following steps: s531. Establish a homogeneous formation and set the layered formation parameters, wellbore parameters, and instrument parameters; s532. Change the casing well deviation angle in sequence, measure with an instrument, obtain the UHAA response value through s131 to s133, and draw a curve of UHAA response value changing with deviation angle. s533. Change the resistivity of the homogeneous formation and measure it with an instrument. Obtain the UHAA response value from s131 to s133 and plot the curve of UHAA response value with deviation angle under different formation resistivity conditions. s534. Based on the formation resistivity and the curve of UHAA response value changing with deviation angle under different formation resistivity conditions, perform wellbore non-parallel correction. Substitute the corrected value into the graph of the relationship between casing well position and UHAA signal to obtain the accurate casing well distance.

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