Orientation gamma-ray detection method for uranium deposits in wells

Abstract

This application discloses a method for borehole orientation gamma-ray detection of uranium ore bodies, comprising the following steps: baseline attitude calibration; full-area circumferential coarse scanning; data preprocessing and noise reduction; identification of the main direction of radioactive anomalies; local high-precision fine scanning; accurate relative orientation calculation; real spatial orientation correction; and fitting of ore body occurrence parameters. This application enables high-precision, full-dimensional detection of uranium ore bodies in a single borehole run, improving detection accuracy and resolution, exhibiting anti-interference and data robustness, and adapting to various uranium drilling environments.

Description

Technical Field

[0001] This application belongs to the field of geophysical logging technology, specifically relating to a method for azimuth gamma detection of uranium deposits in wells. Background Technology

[0002] Uranium resources are strategic resources, and accurate and efficient uranium exploration technology is the core foundation for ensuring the discovery of uranium reserves and the development and utilization of resources. Geophysical logging technology is the core technical means of uranium borehole exploration. It can detect the radioactive physical characteristics of underground rock strata in situ through boreholes, and achieve quantitative evaluation of the depth, thickness, and grade of the ore layer. Compared with surface geophysical exploration and drilling sampling techniques, it has significant advantages in terms of in-situ nature, continuity, efficiency, and low cost.

[0003] In the existing uranium logging technology system, total gamma logging and energy dispersive gamma logging are the most widely used core technologies, which can effectively identify radioactive anomalous ore layers penetrated by the borehole and complete the quantitative statistics of basic ore layer parameters. However, as the exploration depth of uranium deposits in my country continues to increase and the exploration target areas become increasingly complex, the limitations of traditional logging technologies are gradually becoming apparent. In particular, for non-stratified and irregularly occurring uranium ore bodies such as hydrothermal uranium deposits and vein-type uranium deposits, conventional logging technologies cannot meet the needs of refined exploration. These uranium ore bodies are mostly distributed in dipping, vein-like, and massive forms, with complex spatial occurrences. Relying solely on ore layer depth, thickness, and grade parameters cannot accurately determine the extension direction, dip angle, and spatial distribution range of the ore body, which seriously restricts the accuracy of uranium ore body reserve calculation, exploration scheme optimization, and subsequent mining tunnel layout. Therefore, borehole uranium ore body orientation detection and occurrence calculation technology has become a key research direction in the current field of uranium geophysical exploration.

[0004] In current domestic uranium exploration borehole logging operations, gamma total logging technology is the conventional mainstream technology. Its core principle is to collect the cumulative radioactive gamma count in a 360° annular area around the borehole using a downhole gamma detector. The count rate is used to determine the radioactivity intensity of the rock strata, thereby dividing the ore layers and calculating their thickness and grade. After years of development, this technology has matured, has a simple operation process, and low equipment cost, meeting the basic exploration needs of conventional layered uranium deposits. However, it has a fundamental technical defect: the detector collects the cumulative radiation in the entire annular area around the borehole, which is a global integral data, completely losing the directional information of radioactive anomalies. It cannot determine the specific orientation and spatial distribution range of uranium mineralization bodies relative to the borehole, nor can it calculate core occurrence parameters such as the dip and dip angle of the ore body. For vertical boreholes that pass through inclined ore bodies, unilateral ore bodies, or vein-like ore bodies, conventional gamma logging can only identify mineralization anomalies at the borehole location, but cannot determine which side the ore body extends toward or the angle of extension. This leads to significant deviations in subsequent geological reserve estimations and insufficient targeting in exploration and development.

[0005] To address the need for ore body occurrence measurement, the existing engineering technology field generally adopts a combined detection scheme of "gamma logging + ultrasonic imaging logging". This scheme requires two independent sets of special instruments to be lowered into the borehole to complete the measurement operation: first, the depth, thickness and radioactivity of the ore layer are measured by the gamma logging instrument, and then the borehole wall is scanned by the ultrasonic imaging logging instrument to obtain the rock structure of the well wall and the morphology of the ore layer interface. The occurrence of the ore body is estimated by manually fitting the two sets of data. The existing technical solution has many unavoidable drawbacks: First, the operation efficiency is extremely low. The process of two independent well runs, data acquisition, equipment debugging, and data matching is cumbersome, doubling the operation time per hole, and the efficiency gap is even more significant in deep drilling operations. Second, the equipment and maintenance costs are high. Two sets of professional logging equipment are required, which greatly increases the costs of equipment wear, calibration, and maintenance. Third, the data matching error is large. There are depth deviations and instrument attitude deviations between the two measurement operations. The spatiotemporal references of the two sets of data cannot be completely unified. The accuracy of manually fitted occurrence parameters is low, with errors generally greater than 5°, which cannot meet the standards for refined exploration. Fourth, the operational adaptability is poor. Under complex conditions such as deep wells, deviated wells, wellbore collapse, and turbid downhole mud, the imaging quality of ultrasonic imaging logging is greatly reduced, making it basically impossible to complete effective detection.

[0006] In recent years, with the development of directional radiometric detection technology, radiometric mineral exploration equipment equipped with azimuth gamma measurement units has gradually appeared on the market, enabling preliminary directional gamma data acquisition and breaking through the bottleneck of azimuth deficiency in traditional omnidirectional gamma logging. However, existing azimuth gamma detection equipment and supporting methods still have significant technical shortcomings and have not yet formed a mature and high-precision ore body occurrence calculation system: First, the scanning strategy is singular, mostly adopting a single-stage scanning mode with fixed step distance and fixed duration, which cannot balance detection efficiency and accuracy, resulting in insufficient accuracy in coarse scanning and low efficiency in fine scanning; Second, the noise suppression capability is weak, and no dedicated filtering algorithm has been designed for statistical fluctuations, electromagnetic interference, and mechanical vibration interference in the complex downhole environment, resulting in low accuracy in identifying abnormal signals; Third, there is no precise energy spectrum screening mechanism, which cannot effectively remove generalized energy from the formation. The pervasive natural radiation interference from potassium-40 and thorium nuclides easily leads to false anomalies and anomalous shifts, resulting in poor specificity for uranium ore anomaly identification. Fourth, the attitude correction system is incomplete; most equipment is not equipped with a high-precision three-dimensional attitude sensing module or has not designed tilt correction algorithms for inclined shaft conditions, making it impossible to eliminate azimuth measurement errors caused by shaft inclination and instrument tool face deflection. Fifth, there is no standardized ore body occurrence fitting model; it can only simply identify anomalous azimuths and cannot iterate through multi-depth data to calculate the true dip and dip angle of the ore body, thus failing to achieve a visual reconstruction of the ore body's spatial morphology.

[0007] In summary, current uranium mine exploration technologies generally suffer from technical problems such as lack of orientation identification, low accuracy of occurrence calculation, cumbersome operation procedures, weak anti-interference ability, high equipment cost, and poor adaptability, which cannot meet the needs of modern refined uranium mine exploration for high precision, high efficiency, and low cost. Summary of the Invention

[0008] To address the problems of existing uranium mine well detection technologies, such as the lack of azimuth information in gamma logging, low efficiency and poor accuracy of combined logging, weak anti-interference capabilities of existing azimuth detection technologies, and lack of occurrence calculation capabilities, the purpose of this application is to provide a well-drilled azimuth gamma detection method for uranium mines. This application can complete the full-dimensional high-precision detection of uranium ore bodies in a single well run, improving detection accuracy and resolution, and has anti-interference and data robustness, adapting to various uranium mine drilling environments.

[0009] The technical solution adopted in this application is: A method for azimuth gamma detection of uranium deposits in wells includes the following steps: Step S1, Reference Attitude Calibration: Lower the downhole instrument integrating the directional rotating shield, azimuth gamma detector and three-dimensional attitude sensor to the measurement starting depth of the target borehole, start the three-dimensional attitude sensor to collect the well inclination angle, tool face angle and magnetic azimuth angle at the current depth point, and establish the detection reference azimuth coordinate system; Step S2, Full-domain circumferential coarse scan: Drive the directional rotating shield to perform a 0°~360° circumferential coarse scan. The azimuth gamma detector stays at each azimuth position for a preset time and records the gamma count rate of each sector. At the same time, the three-dimensional attitude sensor records the attitude change data of the azimuth gamma detector in real time to ensure that each set of azimuth count rate data corresponds to accurate attitude parameters. Step S3, Data Preprocessing and Noise Reduction: The gamma count rate is bound to the corresponding azimuth angle data to form an azimuth-count rate spectrum, and an adaptive moving average low-pass filtering algorithm is used to complete noise removal and data smoothing. Step S4, Identification of the main direction of radioactive anomaly: The filtered azimuth-count rate spectrum is polar-coordinate projected and evenly divided into multiple detection sectors. The average gamma count rate of each sector is quantitatively calculated. The main direction of radioactive anomaly and the range of anomaly coverage sector are accurately identified using a dual threshold discrimination standard. Step S5, Local High-Precision Fine Scan: Perform a high-precision fine scan on the main direction of the radioactive anomaly and the area covered by the anomaly. Drive the directional rotation to rotate at a step angle smaller than the coarse scan step. Extend the sampling time of each azimuth point to 2 to 3 times the preset time in step S2 to obtain high-resolution anomaly azimuth radiation data. Step S6: Precise relative orientation calculation: Based on the multi-directional high-precision count rate distribution data obtained from the fine scanning, the Gaussian fitting algorithm is used for iterative optimization to determine the precise orientation angle corresponding to the maximum count rate, which is used as the precise relative orientation angle of the uranium ore body relative to the instrument axis. Step S7, Real Spatial Orientation Correction: Combining the inclination angle, tool face angle and regional magnetic declination data collected in real time by the three-dimensional attitude sensor, the relative azimuth angle is converted into the real spatial orientation of the uranium ore body relative to the geographic coordinate system or the geomagnetic coordinate system through a hierarchical correction algorithm. Step S8, Ore Body Occurrence Parameter Fitting: Repeat steps S2 to S7 to perform stratified all-round measurements at different depths in the uranium ore anomaly section, construct a three-dimensional borehole orientation-depth-count rate distribution database, and calculate the true dip and dip angle parameters of the uranium ore body by fitting the coordinates of the anomaly center points at each depth.

[0010] Preferably, in step S1, after the downhole instrument is lowered, all downhole functional modules are activated first to complete equipment self-test and signal calibration. Then, a conversion benchmark between the geographic coordinate system and the instrument coordinate system is established in combination with local geomagnetic parameters, thereby eliminating the benchmark error caused by the initial installation deviation of the instrument and the initial inclination of the borehole, and establishing a detection benchmark azimuth coordinate system.

[0011] Preferably, in step S2, the circumferential coarse scanning adopts a continuous uniform speed rotation mode or a fixed-point stepping rotation mode, which is adaptively switched according to the working conditions of downhole drilling vibration and well wall integrity; the azimuth gamma detector stays at each azimuth position for a preset time of 5 to 30 seconds.

[0012] Preferably, in step S3, the window length of the adaptive moving average low-pass filtering algorithm is 5 to 11 data points, and the window size is dynamically adjusted according to the real-time count rate statistical variance. The larger the variance, the larger the window length.

[0013] Preferably, in step S2 or step S3, a uranium-specific energy window screening step is added: when acquiring gamma pulse signals, the signals are divided into multiple energy windows according to the pulse amplitude, and only the pulse counts within the uranium-series characteristic energy windows are retained to generate an azimuth-count rate spectrum, thereby accurately removing the radiation interference of natural thorium and potassium nuclides.

[0014] Preferably, in step S4, the dual threshold discrimination criteria are: if the count rate of any sector exceeds 3 times the standard deviation of the background count rate of the whole cycle or exceeds 1.5 to 2.0 times the background average, and the coverage angle of the continuous sectors is ≥30°, then it is determined to be the main area of ​​radioactive anomaly, and the location of the anomaly center and the anomaly coverage width are locked.

[0015] Preferably, in step S5, when performing fine scanning, the directional rotating shield is driven to rotate in small steps of 10°~15°. The basic scanning range is set to ±30° of the main abnormal direction. If the width of the abnormal sector in the coarse scan is greater than 60°, the scanning range is automatically extended to ±45° of the main abnormal direction to ensure complete coverage of the abnormal core area and boundary area. Preferably, in step S6, the Gaussian fitting algorithm iterative optimization method is as follows: with the azimuth angle of the fine scan as the independent variable and the corresponding gamma count rate as the dependent variable, a Gaussian fitting mathematical model is constructed, and the data fitting is completed through the iterative optimization algorithm to eliminate the error influence of discrete sampling points, accurately solve the optimal direction angle corresponding to the peak count rate, and determine the solved angle as the accurate relative azimuth angle of the uranium mineralization body relative to the instrument axis.

[0016] Preferably, in step S7, the graded correction algorithm used is as follows: a graded correction mechanism is set up, and when the borehole inclination angle is less than 5°, it is determined to be a vertical borehole, and only magnetic declination correction is performed. The azimuth conversion formula is: α true =( α tool + Az m + δ (mod 360°); When the well inclination angle is greater than or equal to 5°, it is determined to be an inclined borehole. First, calculate the well inclination projection correction angle. The calculation formula is Δ α= arctan(sin α tool / (cos α tool cos θ Next, solve for the true spatial azimuth angle using the following formula: α true =( Az m + ψ +Δ α + δ ) mod 360°, where α true This is the actual spatial azimuth. α tool The relative azimuth angle. θ For real-time well inclination angle, ψ For tool face angle, δ It is the magnetic declination. Az m This is the instrument's magnetic azimuth angle. mod360° means the azimuth angle is zeroed to ensure the result falls within 0-360°.

[0017] Preferably, in step S8, the method for fitting the dip and dip angle of the uranium ore body is as follows: using the borehole depth as the vertical axis and the actual spatial azimuth angle corresponding to each depth point as the horizontal axis, the discrete data points are subjected to least squares linear fitting to obtain the rate of change of azimuth with depth. The dip of the ore body is calculated in combination with the regional geological coordinate system. At the same time, the three-dimensional spatial coordinates of the anomaly centers of multiple depth points are extracted. The optimal plane of the ore body is solved iteratively by the least squares plane fitting algorithm to obtain the accurate dip angle of the ore body.

[0018] Preferably, the method also includes step S9, three-dimensional visualization imaging: after completing the full borehole measurement and data calculation, all depth, azimuth, and count rate data are integrated to construct a full-domain visualization model, generate borehole azimuth gamma imaging atlas, and intuitively represent the radioactivity intensity at different locations through color gradient or grayscale gradient, clearly presenting the spatial distribution range, boundary morphology, thickness variation and extension law of the uranium ore body, and realizing the visualization restoration of the ore body morphology.

[0019] The beneficial effects of this application are: This application improves detection dimensionality and operational efficiency: a single well run can complete high-precision detection of the uranium ore body's depth, thickness, grade, spatial orientation, dip, and dip angle across all dimensions, eliminating the need for multiple well runs or combinations of multiple equipment. Furthermore, it abandons the traditional dual-equipment, dual-well run mode of "gamma logging + ultrasonic imaging logging," reducing single-hole operation time by more than 50%, significantly improving exploration efficiency. Moreover, the integrated operation reduces equipment procurement, maintenance, and labor costs, simplifying the operational process. This application also improves detection accuracy and resolution: adopting a "full-domain" approach... The application employs a dual-stage mode of "coarse scanning + local fine scanning." Local fine scanning reduces statistical errors through small step sizes and long-term integral sampling, achieving an azimuth measurement accuracy of ±1°. Furthermore, combined with algorithms such as Gaussian fitting, the dip angle calculation error is ≤2°, far superior to traditional techniques. It can also accurately capture the spatial orientation of fine ore bodies and narrow vein-like ore bodies, providing core data support for accurate ore body occurrence calculation. This application also features anti-interference and data robustness: it uses adaptive moving average low-pass filtering, dynamically adjusting the window length based on the statistical variance of the data, and sampling low-fluctuation data. This application uses a small window to retain detailed features and a large window for powerful noise reduction of highly fluctuating data, maximizing the retention of effective abnormal signals and effectively eliminating downhole electromagnetic interference, mechanical vibration noise, and radioactive statistical fluctuations, thus preserving true abnormal signals. Furthermore, local fine scanning, through long-term integral sampling, acquires high signal-to-noise ratio direction count rate distribution data, improving data reliability. It also integrates multiple optimization algorithms such as adaptive filtering and Gaussian fitting to effectively suppress noise and eliminate discrete sampling errors and manual fitting errors. This application features working condition adaptability and attitude correction functions: differentiated corrections are set for vertical and inclined boreholes to eliminate azimuth offset caused by instrument tilt. The three-dimensional attitude sensor records the borehole inclination angle, tool face angle, and regional magnetic declination in real time, and converts the relative azimuth to the true spatial azimuth in the geographic / geomagnetic coordinate system through a hierarchical correction algorithm, effectively solving the problem of accuracy failure of traditional technologies in inclined and deep borehole conditions, and adapting to various uranium mine drilling environments such as hydrothermal, layered, and vein-type ore deposits. This application can accurately restore the spatial morphology of the ore body: after multi-depth point layered measurement, a three-dimensional borehole azimuth is constructed. depth The count rate distribution database, by fitting the coordinates of the anomaly center points at each depth, calculates the true dip and dip angle of the ore body, accurately reconstructs the spatial distribution of uranium ore bodies around the borehole, and provides a reliable data foundation for ore body spatial positioning, occurrence parameter fitting, and visualization detection.

[0020] The added uranium-series-specific energy window screening step enhances anti-interference capabilities: by locking onto the characteristic energy window of the uranium series, gamma radiation signals from common interfering nuclides such as potassium-40 and thorium-232 in natural formations are completely eliminated, solving the problem that traditional gamma logging cannot distinguish nuclide types and easily misidentifies non-uranium nuclides as uranium anomalies; it also improves the specificity and accuracy of anomaly identification: by retaining only pulse counts within the characteristic energy range of the uranium series, the specificity of uranium ore anomaly identification is significantly improved, avoiding stray radiation interference. The energy window screening preprocessing improves the purity of the data used in the solution, and the accuracy of uranium ore anomaly location is significantly improved, especially suitable for It is suitable for complex lithological strata and can optimize the data processing workflow: energy window screening is performed simultaneously during the gamma pulse signal acquisition stage, eliminating the need for post-processing stripping of the full spectrum data, reducing post-processing complexity. Furthermore, it retains effective uranium-series signals and removes potassium-thorium clutter, providing high signal-to-noise ratio input data for subsequent azimuth-count rate spectrum generation. Therefore, it can still achieve high-confidence uranium ore detection in rock strata with strong potassium and thorium background radiation, significantly broadening the geological application scenarios of the method. Moreover, the combination of energy window screening and azimuth gamma detection makes the final calculated ore body azimuth and occurrence parameters more physically unique, reducing the risk of misjudgment.

[0021] This dual threshold discrimination standard sets requirements for both the count rate and the continuous sector coverage angle, which can effectively filter out transient noise and single-point false anomalies, reduce misjudgments, clarify the coverage width and center location of anomalies, provide an accurate range for subsequent fine scanning, avoid invalid work, and the dual threshold setting can flexibly match high and low radiation backgrounds, reduce manual parameter adjustment, and improve robustness.

[0022] This graded correction algorithm can ignore minor well inclination errors, improve calculation efficiency, effectively eliminate azimuth offset caused by instrument tilt, ensure the calculation accuracy of the true spatial orientation of uranium ore bodies in inclined boreholes, and automatically switch correction modes according to the actual borehole inclination angle, balancing calculation efficiency and accuracy, and is suitable for various complex borehole environments such as vertical wells, inclined wells, and deep wells.

[0023] Least square fitting eliminates the interference of single-point measurement errors by linear and planar fitting of multi-depth discrete anomaly points. It solves the optimal ore body occurrence parameters through global iterative optimization. Compared with traditional manual fitting and single-point estimation methods, it improves accuracy by more than 40% and significantly enhances data stability.

[0024] This application can generate standardized azimuth gamma imaging atlases, which intuitively present the spatial distribution, morphological boundaries, and thickness variation characteristics of uranium ore bodies. It provides geologists with intuitive and accurate data support for ore body reserve calculation, mineralization regularity analysis, exploration scheme optimization, and mining design. It has strong practicality and engineering adaptability. Attached Figure Description

[0025] Figure 1This is a flowchart of the method for azimuth gamma detection of uranium deposits in wells in this application. Detailed Implementation

[0026] The technical solution of this application will be described in complete, clear and detailed below with reference to the accompanying drawings and specific embodiments. The described embodiments are only preferred embodiments of this application and not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the protection scope of this application.

[0027] This application discloses a method for azimuth gamma detection of uranium deposits in wells, such as... Figure 1 As shown, it includes the following steps: Step S1: Reference Attitude Calibration The downhole instrument, which integrates a directional rotating shield, an azimuth gamma detector, and a three-dimensional attitude sensor, is lowered to the initial measurement depth of the target borehole. The three-dimensional attitude sensor is then activated to collect the inclination angle, tool face angle, and magnetic azimuth angle at the current depth point, and a detection reference azimuth coordinate system is established.

[0028] Preferably, after the downhole instruments are lowered, all downhole functional modules are activated first to complete equipment self-test and signal calibration. Then, a conversion benchmark between the geographic coordinate system and the instrument coordinate system is established in combination with local geomagnetic parameters, thereby eliminating the benchmark error caused by the initial installation deviation of the instrument and the initial inclination of the borehole, and establishing a detection benchmark azimuth coordinate system.

[0029] Step S2: Global Circumferential Coarse Scan The directional rotating shield is driven to perform a coarse circumferential scan from 0° to 360°. The azimuth gamma detector stays at each azimuth position for a preset time to record the gamma count rate of each sector. At the same time, the three-dimensional attitude sensor records the attitude change data of the azimuth gamma detector in real time, ensuring that each set of azimuth count rate data corresponds to accurate attitude parameters.

[0030] Preferably, the circumferential coarse scanning adopts a continuous uniform speed rotation mode or a fixed-point stepping rotation mode, which is adaptively switched according to the working conditions of downhole drilling vibration and well wall integrity; the azimuth gamma detector stays at each azimuth position for a preset time of 5 to 30 seconds.

[0031] Step S3: Data Preprocessing and Noise Reduction The gamma count rate is bound to the corresponding azimuth data to form an azimuth-count rate spectrum, and an adaptive moving average low-pass filtering algorithm is used to complete noise removal and data smoothing.

[0032] Preferably, the window length of the adaptive moving average low-pass filtering algorithm is 5 to 11 data points, and the window size is dynamically adjusted according to the real-time count rate statistical variance. The larger the variance, the larger the window length.

[0033] Preferably, in step S2 or step S3, a uranium-series specific energy window screening step can be added: when acquiring gamma pulse signals, the signals are divided into multiple energy windows according to the pulse amplitude, and only the pulse counts within the uranium-series characteristic energy windows are retained to generate an azimuth-count rate spectrum, thereby accurately removing the radiation interference of natural thorium and potassium nuclides.

[0034] The central energy of the characteristic energy window of the uranium series is 1.76 MeV, and the window width is 0.2 MeV, which precisely corresponds to the characteristic gamma radiation energy of radium-226 in the uranium-238 decay series. The narrow-band energy window design maximizes the shielding of neighboring interference without losing the effective signal of the uranium series.

[0035] The added uranium-series-specific energy window screening step enhances anti-interference capabilities: by locking onto the characteristic energy window of the uranium series, gamma radiation signals from common interfering nuclides such as potassium-40 and thorium-232 in natural formations are completely eliminated, solving the problem that traditional gamma logging cannot distinguish nuclide types and easily misidentifies non-uranium nuclides as uranium anomalies; it also improves the specificity and accuracy of anomaly identification: by retaining only pulse counts within the characteristic energy range of the uranium series, the specificity of uranium ore anomaly identification is significantly improved, avoiding stray radiation interference. The energy window screening preprocessing improves the purity of the data used in the solution, and the accuracy of uranium ore anomaly location is significantly improved, especially suitable for It is suitable for complex lithological strata and can optimize the data processing workflow: energy window screening is performed simultaneously during the gamma pulse signal acquisition stage, eliminating the need for post-processing stripping of the full spectrum data, reducing post-processing complexity. Furthermore, it retains effective uranium-series signals and removes potassium-thorium clutter, providing high signal-to-noise ratio input data for subsequent azimuth-count rate spectrum generation. Therefore, it can still achieve high-confidence uranium ore detection in rock strata with strong potassium and thorium background radiation, significantly broadening the geological application scenarios of the method. Moreover, the combination of energy window screening and azimuth gamma detection makes the final calculated ore body azimuth and occurrence parameters more physically unique, reducing the risk of misjudgment.

[0036] Step S4: Identification of the main direction of radioactive anomalies The filtered azimuth-count rate spectrum was polar-coordinate projected and evenly divided into multiple detection sectors. The average gamma count rate of each sector was quantitatively calculated, and a dual threshold discrimination standard was used to accurately identify the main direction of the radioactive anomaly and the range of the anomaly-covered sector.

[0037] Preferably, the dual threshold discrimination criterion is as follows: if the count rate of any sector exceeds three standard deviations or 1.5 to 2.0 times the background mean count rate for the entire cycle, and the coverage angle of consecutive sectors is ≥30°, then it is determined to be a main region of radioactive anomaly, thus locking the anomaly center location and anomaly coverage width. This dual threshold discrimination criterion simultaneously sets requirements for both count rate and consecutive sector coverage angle, effectively filtering transient noise and single-point false anomalies, reducing misjudgments, clarifying the anomaly coverage width and center location, providing an accurate range for subsequent fine scanning, avoiding invalid work, and the dual threshold setting can flexibly match high and low radiation backgrounds, reducing manual parameter adjustment and improving robustness.

[0038] Step S5: Local high-precision fine scanning A high-precision fine scan is performed on the main direction of the radioactive anomaly and the area covered by the anomaly. The directional rotation is driven to rotate at a step angle smaller than the coarse scan step. The sampling time for each azimuth point is extended to 2 to 3 times the preset time in step S2 to obtain high-resolution anomaly azimuth radiation data.

[0039] Preferably, during fine scanning, the directional rotating shield is driven to rotate in small steps of 10°~15°. The basic scanning range is set to ±30° of the main direction of the anomaly. If the width of the abnormal sector during coarse scanning is greater than 60°, the scanning range is automatically extended to ±45° of the main direction of the anomaly to ensure complete coverage of the core and boundary areas of the anomaly. Step S6: Precise relative orientation calculation Based on the multi-directional high-precision count rate distribution data obtained from fine scanning, a Gaussian fitting algorithm is used for iterative optimization to determine the precise orientation angle corresponding to the maximum count rate, which is used as the precise relative orientation angle of the uranium ore body relative to the instrument axis.

[0040] Preferably, the iterative optimization method of the Gaussian fitting algorithm is as follows: with the azimuth angle of the fine scan as the independent variable and the corresponding gamma count rate as the dependent variable, a Gaussian fitting mathematical model is constructed, and the data fitting is completed through the iterative optimization algorithm to eliminate the error influence of discrete sampling points, accurately solve the optimal azimuth angle corresponding to the peak count rate, and determine the solved angle as the precise relative azimuth angle of the uranium mineralization body relative to the instrument axis.

[0041] Step S7: Real-space orientation correction By combining the inclination angle, tool face angle and regional magnetic declination data collected in real time by the three-dimensional attitude sensor, the relative azimuth angle is converted into the true spatial orientation of the uranium ore body relative to the geographic coordinate system or the geomagnetic coordinate system through a hierarchical correction algorithm.

[0042] Preferably, the graded correction algorithm used is as follows: a graded correction mechanism is set up, and when the borehole inclination angle is less than 5°, it is determined to be a vertical borehole, and only magnetic declination correction is performed. The azimuth conversion formula is: αtrue =( α tool + Az m + δ (mod 360°); When the well inclination angle is greater than or equal to 5°, it is determined to be an inclined borehole. First, calculate the well inclination projection correction angle. The calculation formula is Δ α= arctan(sin α tool / (cos α tool cos θ Next, solve for the true spatial azimuth angle using the following formula: α true =( Az m + ψ +Δ α + δ mod360, where α true This is the azimuth angle in real space. α tool The relative azimuth angle. θ The actual wellbore inclination angle. ψ For tool face angle, δ It is the magnetic declination. Az m The value is the instrument's magnetic azimuth, and mod360° represents the azimuth zeroing, ensuring the result falls within the 0-360° range. This graded correction algorithm can ignore minor well inclination errors, improve calculation efficiency, effectively eliminate azimuth offset caused by instrument tilt, ensure the accuracy of calculating the true spatial azimuth of uranium ore bodies in inclined boreholes, and automatically switch correction modes according to the actual borehole inclination angle, balancing calculation efficiency and accuracy, and adapting to various complex borehole environments such as vertical wells, inclined wells, and deep wells.

[0043] Step S8: Fitting Ore Body Occurrence Parameters Repeat steps S2 to S7 to perform stratified all-round measurements at different depths in the uranium ore anomaly section, construct a three-dimensional borehole orientation-depth-count rate distribution database, and calculate the true dip and dip angle parameters of the uranium ore body by fitting the coordinates of the anomaly center points at each depth.

[0044] Preferably, the method for fitting the dip and dip angle of the uranium ore body is as follows: using the borehole depth as the ordinate and the actual spatial azimuth angle corresponding to each depth point as the abscissa, least-squares linear fitting is performed on the discrete data points to obtain the rate of change of azimuth with depth. The dip of the ore body is calculated using the regional geological coordinate system. Simultaneously, the three-dimensional spatial coordinates of the anomaly centers at multiple depth points are extracted. The optimal plane of the ore body is iteratively solved using a least-squares plane fitting algorithm to obtain the accurate dip angle. Least-squares fitting eliminates the interference of single-point measurement errors through linear and plane fitting of discrete anomaly points at multiple depths. The optimal ore body occurrence parameters are solved through global iterative optimization. Compared with traditional manual fitting and single-point estimation methods, the accuracy is improved by more than 40%, and the data stability is significantly enhanced.

[0045] Step S9, 3D visualization imaging After completing the full borehole measurement and data processing, all depth, azimuth, and count rate data are integrated to construct a full-domain visualization model and generate borehole azimuth gamma imaging atlases. The radioactivity intensity at different locations is intuitively represented by color gradients or grayscale gradients, clearly presenting the spatial distribution range, boundary morphology, thickness variation, and extension law of the uranium ore body, thus realizing the visualization and restoration of the ore body morphology.

[0046] In summary, this application improves detection dimensionality and operational efficiency: a single well run can complete high-precision detection of the uranium ore body's depth, thickness, grade, spatial orientation, dip, and dip angle across all dimensions, eliminating the need for multiple well runs or combinations of multiple equipment. Furthermore, it abandons the traditional dual-equipment, dual-well run mode of "gamma logging + ultrasonic imaging logging," reducing single-hole operation time by more than 50%, significantly improving exploration efficiency. Moreover, the integrated operation reduces equipment procurement, maintenance, and labor costs, simplifying the operational process. This application also improves detection accuracy and resolution: This application employs a two-stage model of "global coarse scanning + local fine scanning." The local fine scanning reduces statistical errors through small step sizes and long-term integral sampling, achieving an azimuth measurement accuracy of ±1°. Furthermore, combined with algorithms such as Gaussian fitting, the dip angle calculation error is ≤2°, far superior to traditional techniques. It can also accurately capture the spatial orientation of fine ore bodies and narrow vein-like ore bodies, providing core data support for accurate ore body occurrence calculation. This application also demonstrates strong anti-interference and data robustness: it uses adaptive moving average low-pass filtering, dynamically adjusting the window length based on the statistical variance of the data, resulting in low fluctuations. The data employs a small window to preserve detailed features, while high-fluctuation data utilizes a large window for powerful noise reduction, maximizing the retention of effective anomalous signals. This effectively eliminates downhole electromagnetic interference, mechanical vibration noise, and radioactive statistical fluctuations, preserving true anomalous signals. Furthermore, local fine scanning, through long-term integral sampling, acquires high signal-to-noise ratio direction count rate distribution data, improving data reliability. It also integrates multiple optimization algorithms such as adaptive filtering and Gaussian fitting to effectively suppress noise and eliminate discrete sampling errors and manual fitting errors. This application features adaptability and attitude correction functions: differentiated corrections are applied for vertical and inclined boreholes to eliminate azimuth offset caused by instrument tilt. A three-dimensional attitude sensor records the borehole inclination angle, tool face angle, and regional magnetic declination in real time, converting the relative azimuth to the true spatial azimuth in the geographic / geomagnetic coordinate system through a graded correction algorithm. This effectively solves the accuracy failure problem of traditional technologies in inclined and deep borehole conditions, adapting to various uranium ore drilling environments such as hydrothermal, layered, and vein-type boreholes. This application can accurately reconstruct the spatial morphology of the ore body: after multi-depth point layered measurement, a three-dimensional borehole azimuth is constructed. depth The count rate distribution database, by fitting the coordinates of the anomaly center points at each depth, calculates the true dip and dip angle of the ore body, accurately reconstructing the spatial distribution morphology of uranium ore bodies around the borehole, providing a reliable data foundation for ore body spatial positioning, occurrence parameter fitting, and visualization detection. This application can generate standardized azimuth gamma imaging atlases, intuitively presenting the spatial distribution, morphological boundaries, and thickness variation characteristics of uranium ore bodies, providing intuitive and accurate data support for geologists to conduct ore body reserve calculations, metallogenic regularity analysis, exploration scheme optimization, and mining design, with extremely strong practicality and engineering adaptability.

[0047] The detection device used in this application adopts a standardized configuration, including a ground control system and downhole instruments. The downhole instruments, from top to bottom, consist of a remote transmission and power supply unit, a well temperature and pressure measurement unit, a magnetic positioning unit, and an azimuth gamma measurement unit, eliminating the need for multi-device joint operation. The azimuth gamma measurement unit is the core functional unit, including a motor drive module, a directional rotating shield, an azimuth gamma detector, a three-dimensional attitude sensor, and an azimuth data acquisition module. The directional rotating shield is made of high-density tungsten alloy and features a fixed-angle collimation slit, enabling precise 360° directional scanning. The azimuth gamma detector uses a Φ38mm×38mm cerium bromide scintillation detector, paired with a silicon photomultiplier tube, for precise acquisition of gamma radiation pulse signals. The three-dimensional attitude sensor can acquire well inclination angle, tool face angle, and magnetic azimuth angle data in real time at high frequency, providing a reference data acquisition module for azimuth correction. The data acquisition module can perform energy window filtering, data binding, real-time transmission, and preprocessing. The azimuth gamma measurement unit has an azimuth angle measurement accuracy of ±1° and a data sampling frequency of 100Hz, meeting the detection requirements of deep drilling and complex working conditions.

[0048] Application Example 1: Vertical borehole conventional hydrothermal uranium deposit detection (continuous coarse scan mode) This example is applied to an exploration project of a hydrothermal uranium deposit in South China. The target exploration borehole depth is 150m, the borehole diameter is 76mm, the entire borehole is vertical, the inclination angle of the entire borehole is ≤3°, the well wall is intact, the mud in the well is clear, and there is no obvious vibration interference. The ore body is a layered inclined hydrothermal uranium deposit, which is the most typical application condition of this application.

[0049] The specific detection steps are as follows: Step S10, Equipment Lowering and Baseline Calibration: The integrated downhole detection instrument is smoothly lowered to the initial measurement depth of 110m. This depth is within a blank rock stratum above the top boundary of the uranium anomaly, free from radioactive interference. The surface control system is activated to complete self-checks, signal debugging, and parameter calibration of each downhole module. The three-dimensional attitude sensor is activated to collect attitude data in real time. The current depth inclination angle is measured to be 3°, the tool face angle to be 45°, and the regional magnetic azimuth angle to be 100°. The instrument has undergone baseline calibration before being lowered into the well, and the instrument's baseline direction coincides with geomagnetic north. Therefore, the instrument's magnetic azimuth angle is... A zm =0°, lock the reference coordinate system for this measurement.

[0050] Step S20, Continuous Circumferential Coarse Scan: The continuous rotational coarse scan mode is initiated. The motor drives the directional rotating shield to rotate 360° at a constant speed of 6° / second, dividing the entire circumference into 36 10° sector-shaped areas. The equivalent integration sampling time for each sector is 6 seconds, meeting the preset sampling duration requirement of 5~30 seconds. Simultaneously, the data acquisition module activates the uranium-series-specific energy window filtering function, locking the 1.76MeV±0.1MeV energy window to eliminate potassium and thorium nuclide radiation signals. Gamma count rate data is acquired sector by sector, while the three-dimensional attitude sensor synchronously records the instrument's attitude change data throughout the entire time period, achieving real-time binding and storage of azimuth, count, and attitude data.

[0051] Step S30: Adaptive Data Noise Reduction Processing: The acquired global azimuth-count rate raw data is transmitted to the ground control system. The system automatically activates a 5-point adaptive moving average low-pass filter window to smooth and reduce noise in the discrete data sequence. After filtering, the statistical fluctuation noise of the raw data is reduced by more than 40%, all abnormal jump points are eliminated, the data curve is smooth and the radioactive anomaly characteristics are completely preserved, and a standardized azimuth-count rate spectrum is generated.

[0052] Step S40: Identification of the Main Direction of Radioactive Anomalies: The filtered spectral data is transformed by polar coordinate projection, and 36 detection sectors are evenly divided. The quantitative calculation shows that the average background count rate is 280 cps, and the root mean square error of the background is 32 cps. A dual threshold discrimination standard is adopted: a threshold of 3 times the standard deviation is 376 cps, and a threshold of 1.8 times the background mean is 504 cps. The detection results show that the count rate in the 240°~300° sector is the highest, reaching 540 cps. It also meets the dual threshold conditions, and the anomaly continuously covers an angle of 60°. Therefore, this sector is determined to be the main region of radioactive anomalies, and the anomaly center is initially located at 270°.

[0053] Step S50: Local High-Precision Fine Scan: The width of the abnormal sector in this coarse scan was 60°, which did not exceed the threshold. Therefore, the fine scan range was set to ±30° of the main abnormal direction, i.e., the 240°~300° interval. A 10° small step rotation mode was adopted, and the sampling time for each azimuth point was extended to 15 seconds, which is 2.5 times the coarse scan time. Long-time integration was used to improve data accuracy. The fine scan obtained effective count rate data for 7 azimuth points: 240°: 520cps, 250°: 580cps, 260°: 610cps, 270°: 625cps, 280°: 590cps, 290°: 540cps, and 300°: 500cps.

[0054] Step S60: Gaussian fitting for accurate calculation of relative azimuth: Construct a Gaussian fitting function model y=A·exp(-(x-μ)² / (2σ²)), with azimuth angle as independent variable x, count rate as dependent variable y, and σ representing standard deviation. Iteratively fit 7 sets of high-precision data to obtain the optimal peak azimuth angle μ=268.2°, that is, the accurate relative azimuth angle of the uranium ore body relative to the instrument axis is 268.2°.

[0055] Step S70, Real Spatial Azimuth Correction: The inclination angle of this borehole is 3°, less than 5°, so the vertical borehole correction formula is used. The magnetic declination of the actual measured area in this exploration is -6°, so the vertical borehole conversion formula is used. α true =( α tool + Az m + δ Using mod 360°, the final calculated spatial azimuth of the uranium ore body relative to the geographic coordinate system is 262.2°.

[0056] Step S80, Layered Measurement and Occurrence Fitting: Extending along the depth range of the ore layer, repeat the above scanning, calculation, and correction process at depths of 115m, 120m, 125m, and 130m to obtain the true anomaly azimuth angles of the ore body at each depth point as 270°, 265°, 258°, and 250°, respectively. Performing a least-squares linear fit with depth as the ordinate and azimuth angle as the abscissa, the rate of change of azimuth angle with depth is found to be -2° / m, meaning that for every 1m increase in depth, the anomaly azimuth of the ore body shifts westward by 2°. Combining the vertical borehole trajectory parameters, the spatial plane of the ore body is solved using a least-squares plane fitting algorithm, ultimately determining that the dip direction of the uranium ore body is 260° and the dip angle is 25°, classifying it as a layered dipping uranium ore body dipping southwest.

[0057] Step S90 | Visualization Imaging Output: Integrate all azimuth, depth, and count rate data in the 110m~130m depth range to generate a color gradient azimuth gamma imaging map. Highlight the abnormal areas of the uranium ore body with red and yellow gradients, clearly show the spatial morphology of the ore body extending unidirectionally on the southwest side of the borehole, and the boundary and thickness variation characteristics of the ore body are intuitively visible.

[0058] Application Example 2: Wide-Aperture Anomaly Uranium Deposit Detection (Dynamically Expanding Fine Scan Range) This example addresses anomaly conditions in wide-area uranium mines. The hardware and operating environment are basically the same as in Application Example 1. The difference lies in the anomaly identification criteria and the adaptive adjustment strategy for the fine scanning range. It is suitable for detecting large-area, blocky, and wide-vein uranium ore bodies.

[0059] In step S4 of this example, a relative threshold-based discrimination standard is used, with a fixed anomaly discrimination factor of 1.8, an average background count rate of 280 cps, and an anomaly detection threshold of 504 cps. The coarse scan results show that the count rate in the continuous region of the 240°~300° sector all exceeds 504 cps, and the continuous coverage width of the anomaly reaches 60°, reaching the threshold for expanding the fine scan range. Based on the adaptive adjustment rule of this invention, the fine scan range is automatically expanded from the conventional ±30° to ±45°, i.e., 195°~345°, completely covering the core anomaly region and the potential boundary regions on both sides.

[0060] The fine scanning phase employs a 10° step increment, increasing the sampling time for each azimuth point to 20 seconds, further improving the data accuracy in boundary areas. Through extended-range scanning, weak anomalous signals at the ore body edge were successfully captured, correcting the boundary truncation error in conventional scanning modes. The final fitted parameters for ore body width and distribution range better reflect actual geological conditions, and the accuracy of dip angle calculation is improved by 3°~4° compared to conventional scanning, effectively adapting to wide-area, irregular uranium ore body detection scenarios.

[0061] Application Example 3: Uranium Ore Detection under Complex Vibration Conditions (Step-by-Step Coarse Scan Mode) This example applies to a deep and complex drilling condition with a depth of 220m. Slight mechanical vibration and mud disturbance exist downhole, and continuous rotating scanning can easily lead to unstable detector integration and significant data noise. This example uses a step-by-step coarse scanning mode to adapt to downhole vibration interference conditions; all other parameters are consistent with Example 1.

[0062] In step S2, the continuous rotation mode is canceled, and a fixed-point stepping coarse scanning method is adopted. The directional rotating shield is driven to stop at eight core azimuths sequentially: 0°, 45°, 90°, 135°, 180°, 225°, 270°, and 315°. The sampling time for each azimuth is 10 seconds, completing the rapid screening of the entire area. The coarse scan data shows that the count rate at the 270° azimuth reaches 560 cps, which is significantly higher than that of the other azimuths. The count rates at the 225° and 315° azimuths are only 210 cps and 230 cps, respectively, indicating that the anomalies are concentrated in the 225°~315° range.

[0063] Based on the anomaly range of the coarse scan, the fine scan stage employs a 15° large-step scanning pattern within the 225°~315° range, setting up a total of 7 sampling points. The sampling time for each point is extended to 25 seconds to minimize the impact of vibration interference on counting accuracy. This stepping scan mode exhibits extremely high stability and can effectively avoid the problem of continuous sampling data fluctuations caused by downhole vibration and fluid disturbances. In complex deep boreholes and unstable downhole operating conditions, the stability of the detection data is significantly better than that of the continuous scan mode, and the anti-interference capability is greatly improved.

[0064] The above description is merely a preferred embodiment of this application and is not intended to limit the scope of patent protection of this application. Any equivalent transformations, process modifications, parameter optimizations, scenario adaptations made within the scope of the description and drawings of this application, or the direct or indirect application of the technical solution of this application to other fields of radioactive mineral exploration, shall similarly fall within the scope of protection of this application.

Claims

1. A method for azimuth gamma detection of uranium deposits in wells, characterized in that, Includes the following steps: Step S1, Reference Attitude Calibration: Lower the downhole instrument integrating the directional rotating shield, azimuth gamma detector and three-dimensional attitude sensor to the measurement starting depth of the target borehole, start the three-dimensional attitude sensor to collect the well inclination angle, tool face angle and magnetic azimuth angle at the current depth point, and establish the detection reference azimuth coordinate system; Step S2, Full-domain circumferential coarse scan: Drive the directional rotating shield to perform a 0°~360° circumferential coarse scan. The azimuth gamma detector stays at each azimuth position for a preset time and records the gamma count rate of each sector. At the same time, the three-dimensional attitude sensor records the attitude change data of the azimuth gamma detector in real time to ensure that each set of azimuth count rate data corresponds to accurate attitude parameters. Step S3, Data Preprocessing and Noise Reduction: The gamma count rate is bound to the corresponding azimuth angle data to form an azimuth-count rate spectrum, and an adaptive moving average low-pass filtering algorithm is used to complete noise removal and data smoothing. Step S4, Identification of the main direction of radioactive anomaly: The filtered azimuth-count rate spectrum is polar-coordinate projected and evenly divided into multiple detection sectors. The average gamma count rate of each sector is quantitatively calculated. The main direction of radioactive anomaly and the range of anomaly coverage sector are accurately identified using a dual threshold discrimination standard. Step S5, Local High-Precision Fine Scan: Perform a high-precision fine scan on the main direction of the radioactive anomaly and the area covered by the anomaly. Drive the directional rotation to rotate at a step angle smaller than the coarse scan step. Extend the sampling time of each azimuth point to 2 to 3 times the preset time in step S2 to obtain high-resolution anomaly azimuth radiation data. Step S6: Precise relative orientation calculation: Based on the multi-directional high-precision count rate distribution data obtained from the fine scanning, the Gaussian fitting algorithm is used for iterative optimization to determine the precise orientation angle corresponding to the maximum count rate, which is used as the precise relative orientation angle of the uranium ore body relative to the instrument axis. Step S7, Real Spatial Orientation Correction: Combining the inclination angle, tool face angle and regional magnetic declination data collected in real time by the three-dimensional attitude sensor, the relative azimuth angle is converted into the real spatial orientation of the uranium ore body relative to the geographic coordinate system or the geomagnetic coordinate system through a hierarchical correction algorithm. Step S8, Ore Body Occurrence Parameter Fitting: Repeat steps S2 to S7 to perform stratified all-round measurements at different depths in the uranium ore anomaly section, construct a three-dimensional borehole orientation-depth-count rate distribution database, and calculate the true dip and dip angle parameters of the uranium ore body by fitting the coordinates of the anomaly center points at each depth.

2. The method for azimuth gamma detection of uranium deposits in wells as described in claim 1, characterized in that: In step S1, after the downhole instrument is lowered, all downhole functional modules are activated to complete equipment self-test and signal calibration. Then, a conversion benchmark between the geographic coordinate system and the instrument coordinate system is established in combination with local geomagnetic parameters, thereby eliminating the benchmark error caused by the initial installation deviation of the instrument and the initial inclination of the borehole, and establishing a detection benchmark azimuth coordinate system.

3. The method for azimuth gamma detection of uranium deposits in wells as described in claim 1, characterized in that: In step S2, the circumferential coarse scan adopts either a continuous uniform rotation mode or a fixed-point stepping rotation mode, which is adaptively switched according to the downhole drilling vibration and well wall integrity conditions; the azimuth gamma detector stays at each azimuth position for a preset time of 5 to 30 seconds.

4. The method for azimuth gamma detection of uranium deposits in wells as described in claim 1, characterized in that: In step S3, the window length of the adaptive moving average low-pass filtering algorithm is 5 to 11 data points. The window size is dynamically adjusted according to the real-time count rate statistical variance. The larger the variance, the larger the window length.

5. The method for azimuth gamma detection of uranium deposits in wells as described in claim 1, characterized in that, In step S2 or step S3, a uranium-specific energy window screening step is added: when acquiring gamma pulse signals, the signals are divided into multiple energy windows according to the pulse amplitude, and only the pulse counts within the uranium-series characteristic energy windows are retained to generate an azimuth-count rate spectrum, thereby accurately removing the radiation interference of natural thorium and potassium nuclides.

6. The method for azimuth gamma detection of uranium deposits in wells as described in claim 1, characterized in that, In step S4, the dual threshold discrimination criteria are as follows: if the count rate of any sector exceeds 3 times the standard deviation of the background count rate of the whole cycle or exceeds 1.5 to 2.0 times the background average, and the coverage angle of continuous sectors is ≥30°, then it is determined to be the main area of ​​radioactive anomaly, and the location of the anomaly center and the width of the anomaly coverage are locked.

7. The method for azimuth gamma detection of uranium deposits in wells as described in claim 1, characterized in that: In step S5, during fine scanning, the directional rotating shield is driven to rotate in small steps of 10°~15°. The basic scanning range is set to ±30° of the main abnormal direction. If the width of the abnormal sector during coarse scanning is greater than 60°, the scanning range is automatically extended to ±45° of the main abnormal direction to ensure complete coverage of the abnormal core area and boundary area.

8. The method for azimuth gamma detection of uranium deposits in wells as described in claim 1, characterized in that, In step S6, the Gaussian fitting algorithm iterative optimization method is as follows: with the azimuth angle of the fine scan as the independent variable and the corresponding gamma count rate as the dependent variable, a Gaussian fitting mathematical model is constructed, and the data fitting is completed through the iterative optimization algorithm to eliminate the error influence of discrete sampling points, accurately solve the optimal direction angle corresponding to the peak count rate, and determine the solved angle as the accurate relative azimuth angle of the uranium mineralization body relative to the instrument axis.

9. The method for azimuth gamma detection of uranium deposits in wells as described in claim 1, characterized in that, In step S7, the graded correction algorithm used is as follows: a graded correction mechanism is set up. When the borehole inclination angle is less than 5°, it is determined to be a vertical borehole, and only magnetic declination correction is performed. The azimuth conversion formula is: α true =( α tool + Az m + δ (mod 360°); When the well inclination angle is greater than or equal to 5°, it is determined to be an inclined borehole. First, calculate the well inclination projection correction angle. The calculation formula is Δ α= arctan(sin α tool / (cos α tool cos θ Next, solve for the true spatial azimuth angle using the following formula: α true =( Az m + ψ +Δ α + δ ) mod 360°, where α true This is the actual spatial azimuth. α tool The relative azimuth angle. θ For real-time well inclination angle, ψ For tool face angle, δ It is the magnetic declination. Az m This is the instrument's magnetic azimuth angle. mod360° means the azimuth angle is zeroed to ensure the result falls within 0-360°.

10. The method for azimuth gamma detection of uranium deposits in wells as described in claim 1, characterized in that, In step S8, the method for fitting the dip and dip angle of the uranium ore body is as follows: with the borehole depth as the vertical axis and the actual spatial azimuth angle corresponding to each depth point as the horizontal axis, the discrete data points are fitted with least squares linear fitting to obtain the rate of change of azimuth with depth. The dip of the ore body is calculated in combination with the regional geological coordinate system. At the same time, the three-dimensional spatial coordinates of the anomaly centers of multiple depth points are extracted. The optimal plane of the ore body is solved iteratively by the least squares plane fitting algorithm to obtain the accurate dip angle of the ore body.

11. The method for azimuth gamma detection of uranium deposits in wells as described in claim 1, characterized in that, It also includes step S9, three-dimensional visualization imaging: after completing the full borehole measurement and data calculation, all depth, azimuth, and count rate data are integrated to construct a full-domain visualization model, generate borehole azimuth gamma imaging atlas, and intuitively represent the radioactivity intensity at different locations through color gradient or grayscale gradient, clearly presenting the spatial distribution range, boundary morphology, thickness variation and extension law of the uranium ore body, and realizing the visualization restoration of the ore body morphology.

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