Advanced geological forecast method and system with combination of long distance and short distance, and storage device
By combining seismic exploration and electromagnetic exploration methods, a three-dimensional geological model was constructed and wave velocity parameters were corrected, solving the accuracy problem of long-distance advanced geological prediction and achieving high-precision advanced geological prediction.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- NORTHWEST ENGINEERING CORPORATION LIMITED
- Filing Date
- 2026-02-06
- Publication Date
- 2026-05-08
AI Technical Summary
Existing seismic exploration methods and electromagnetic exploration methods each have their limitations, making it difficult to achieve accurate long-distance geological forecasting. Seismic exploration methods have deviations in detection distance, while electromagnetic exploration methods cannot meet the needs of long-distance forecasting.
By combining seismic and electromagnetic exploration methods, a three-dimensional geological model is constructed. Electromagnetic exploration is used to correct heterogeneous bodies within a short range, while seismic exploration is used to determine wave velocity parameters within a long range. Based on the three-dimensional geological model and heterogeneous body properties, the wave velocity parameters are further corrected to achieve accurate long-range forecasting.
It improves the prediction accuracy of seismic exploration methods, enables long-distance and precise advanced geological prediction, dynamically calibrates wave velocity parameters, and enhances the prediction accuracy of construction areas.
Smart Images
Figure CN121995537A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to an advanced geological prediction method, system, and storage device that combines long- and short-distance prediction, belonging to the field of geological prediction technology. Background Technology
[0002] Geophysical exploration methods are currently the most commonly used methods for advanced geological prediction. Geophysical methods are mainly divided into two categories: seismic exploration, based on the principle of seismic waves, and electromagnetic exploration, based on the principle of electromagnetic waves. Seismic exploration has a relatively long detection range, typically 100m-150m, making it suitable for long-range general surveys and predictions. Electromagnetic exploration has a relatively short detection range, typically within 30m, making it suitable for short-range, detailed predictions.
[0003] However, while seismic exploration has advantages in detection distance, its accuracy is directly related to the precision of wave velocity parameters such as the initial wave velocity. In practical engineering, wave velocity parameters are usually determined based on empirical values or simple test estimations, which are difficult to accurately reflect the true and dynamic changes of the rock mass in the area to be explored. This makes seismic exploration prone to errors in locating faults, fracture zones, and other structures, resulting in a high rate of false alarms. While electromagnetic exploration has advantages in detection accuracy, its limited detection range makes it difficult to meet the needs of long-distance, large-scale advanced geological prediction.
[0004] Because both of the above methods have their own limitations, it is currently difficult to achieve long-distance and accurate advanced geological forecasting. Summary of the Invention
[0005] This invention provides a method, system, and storage device for advanced geological forecasting that combines long and short distances, which can solve the problem that existing geological forecasting methods are unable to achieve accurate advanced geological forecasting over long distances.
[0006] On the one hand, the present invention provides an advanced geological prediction method combining long- and short-range distances, the method comprising: S1. Construct a three-dimensional geological model within a first length range of the area to be constructed, which is less than a first preset distance from the working face, based on the geological information exposed in the constructed area, and predict the first heterogeneous body within the first length range based on the three-dimensional geological model. S2. Predict the second heterostructure within the first length range using electromagnetic exploration, and use the second heterostructure to correct the three-dimensional geological model; S3. Determine the wave velocity parameters within a second length range that is greater than a second preset distance from the working face using seismic exploration methods, and predict the third heterostructure within the second length range based on the wave velocity parameters; the second preset distance is greater than the first preset distance; S4. When the first heterostructure, the second heterostructure, and the third heterostructure meet the preset conditions, the wave velocity parameter is corrected, and the advanced geological prediction of the area to be constructed is carried out based on the corrected wave velocity parameter and the corrected three-dimensional geological model. The preset conditions include that the predicted geological properties of the first heterostructure, the second heterostructure, and the third heterostructure are the same, the spatial distance between any two of the first heterostructure, the second heterostructure, and the third heterostructure is less than a first distance, and the spatial distance between the second heterostructure and the third heterostructure is greater than a second distance.
[0007] Optionally, the wave velocity parameter is corrected in S4, specifically including: The correction coefficient for the wave velocity parameter is determined based on the spatial positions of the second heterostructure and the third heterostructure. The wave velocity parameter is corrected according to the correction factor.
[0008] Optionally, in S4, advanced geological prediction is performed on the area to be constructed based on the corrected wave velocity parameters and the corrected three-dimensional geological model, specifically including: The third heterostructure within the second length range is re-predicted based on the corrected wave velocity parameters, resulting in an updated third heterostructure. Advanced geological forecasting is performed on the area to be constructed based on the updated third heterostructure, the second heterostructure, and the revised three-dimensional geological model.
[0009] Optionally, S4 also includes: When the spatial distance between the third heterostructure and the first heterostructure or the second heterostructure is greater than the third distance, or when the predicted geological properties of the third heterostructure are different from those of the first heterostructure or the second heterostructure, the actual geological properties of the third heterostructure are determined by drilling. Based on the actual geological properties, the second heterogeneous body, the third heterogeneous body, and the corrected three-dimensional geological model, advanced geological prediction is performed on the area to be constructed.
[0010] Optionally, S3, based on the wave velocity parameter, predicts the third heterostructure within the second length range, specifically including: Based on the wave velocity parameters, the rock mass structure parameters within the second length range are determined using parameter analysis methods; Predict the third heterostructure within the second length range based on the rock mass structure parameters.
[0011] Optionally, in S1, a three-dimensional geological model is constructed within a first length range from the working face in the area to be constructed, based on the geological information exposed in the already constructed area. Specifically, this includes: The structural features of the working face are determined based on the geological information exposed in the already constructed area; Based on the structural features, a three-dimensional geological model is constructed within the first length range from the working face in the area to be constructed.
[0012] Optionally, the wave velocity parameter includes the initial wave velocity.
[0013] Optionally, the first preset distance is less than or equal to 30m, and the second preset distance is greater than or equal to 100m.
[0014] On the other hand, the present invention provides an advanced geological prediction system combining long- and short-range forecasts, the system comprising: The modeling unit is used to construct a three-dimensional geological model within a first length range of the area to be constructed, which is less than a first preset distance from the working face, based on the geological information exposed in the constructed area, and to predict the first heterogeneous body within the first length range based on the three-dimensional geological model. The near-range prediction unit is used to predict the second heterostructure within a first length range using electromagnetic exploration methods, and to correct the three-dimensional geological model using the second heterostructure. The long-distance prediction unit is used to determine the wave velocity parameters within a second length range that is greater than a second preset distance from the working face using seismic exploration methods, and to predict the third heterostructure within the second length range based on the wave velocity parameters; the second preset distance is greater than the first preset distance. The advanced prediction unit is used to correct the wave velocity parameters when the first heterostructure, the second heterostructure and the third heterostructure meet the preset conditions, and to make advanced geological predictions for the construction area based on the corrected wave velocity parameters and the corrected three-dimensional geological model. The preset conditions include that the predicted geological properties of the first heterostructure, the second heterostructure, and the third heterostructure are the same, the spatial distance between any two of the first heterostructure, the second heterostructure, and the third heterostructure is less than the first distance, and the spatial distance between the second heterostructure and the third heterostructure is greater than the second distance.
[0015] In another aspect, the present invention provides a storage device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor, when executing the computer program, implements the steps of the combined long- and short-distance advanced geological prediction method as described in any one of claims 1 to 8.
[0016] The beneficial effects that this invention can produce include: This invention constructs a three-dimensional geological model of the area to be constructed within a short distance from the working face, based on the geological information exposed in the already constructed area. Based on this model, a first heterogeneous body within this short distance is predicted. Then, electromagnetic exploration and seismic exploration are used to perform long-distance and short-distance advanced geological predictions of the area to be constructed, identifying a second heterogeneous body within the short distance and a third heterogeneous body within the long distance. Next, the three-dimensional geological model is revised based on the second heterogeneous body. The accuracy of the wave velocity parameters of the seismic exploration method is determined based on the predicted geological properties of the first, second, and third heterogeneous bodies and their spatial distances. This leads to further revision of the wave velocity parameters, improving the prediction accuracy of the seismic exploration method. Finally, the revised wave velocity parameters and the revised three-dimensional geological model are combined to perform advanced geological predictions of the area to be constructed. This approach combines the advantages of a wide long-distance prediction range and high short-distance prediction accuracy, allowing the prediction results of different detection methods to mutually correct and calibrate, overcoming the limitations of a single detection method, significantly improving the accuracy of seismic exploration in identifying anomalous geological bodies, and achieving precise long-distance advanced geological prediction. Meanwhile, during the construction process, the invention iteratively performs advanced geological prediction and corrects the initial wave velocity as the project progresses, thereby achieving dynamic calibration of the wave velocity parameters and continuously improving the accuracy of long-distance advanced geological prediction. Attached Figure Description
[0017] Figure 1 A flowchart of an advanced geological prediction method combining long and short distances provided in an embodiment of the present invention; Figure 2 This is a schematic diagram of a detector array on the tunnel face provided in an embodiment of the present invention; Figure 3 This is a schematic diagram of a detector being installed on a sidewall, provided by an embodiment of the present invention. Figure 4 This is a schematic diagram of the layout of the transverse survey lines provided in an embodiment of the present invention; Figure 5 This is a schematic diagram of the layout of vertical survey lines provided in an embodiment of the present invention; Figure 6 Stress distribution diagram provided for embodiments of the present invention; Figure 7 A water content probability distribution diagram provided for an embodiment of the present invention; Figure 8 This is a longitudinal wave velocity distribution diagram provided in an embodiment of the present invention; Figure 9 This is a two-dimensional distribution map of the surrounding rock hazard level provided in an embodiment of the present invention; Figure 10 A three-dimensional distribution map of the surrounding rock hazard level provided in an embodiment of the present invention; Figure 11 This is a schematic diagram of radar detection results provided in an embodiment of the present invention; Figure 12 A schematic diagram of a three-dimensional geological model provided in an embodiment of the present invention; Figure 13 This is a schematic diagram of the modified three-dimensional geological model provided in an embodiment of the present invention. Detailed Implementation
[0018] The present invention will now be described in detail with reference to the embodiments, but the present invention is not limited to these embodiments.
[0019] This invention provides a method for advanced geological prediction that combines long- and short-range distances, such as... Figure 1 As shown, the method includes: S1. Construct a three-dimensional geological model within a first length range in the area to be constructed, which is less than a first preset distance from the working face, based on the geological information exposed in the already constructed area, and predict the first heterogeneous body within the first length range based on the three-dimensional geological model.
[0020] In this embodiment, anomaly bodies within a first length range predicted based on exposed geological information and a three-dimensional geological model are defined as the first heterogeneous body. Anomaly bodies include faults, fracture zones, or water-rich areas.
[0021] This embodiment uses tunnel construction as an example for illustration. The constructed area includes the constructed tunnel section, and the first preset distance is less than or equal to 30m.
[0022] In this embodiment, S1 specifically includes: 1. Geological logging is performed on the geological information exposed on the surrounding rock of the tunnel sections that have been constructed, the geological information exposed on the working face of the tunnel sections currently under construction, and the preliminary exploration data to obtain geological logging information.
[0023] 2. Determine the orientation, spacing, and extension of structural surfaces (such as faults, joints, bedding, etc.) on the constructed tunnel sections and working faces based on geological logging information.
[0024] 3. Construct a three-dimensional geological model within a first length range of less than or equal to 30m from the working face based on the structural features, such as... Figure 12 As shown.
[0025] 4. Identify anomalous geological bodies (such as potentially unstable blocks) within the first length range, i.e., the first heterogeneous body, based on geological logging information and three-dimensional geological models.
[0026] S2. Predict the second heterostructure within the first length range using electromagnetic exploration, and use the second heterostructure to correct the three-dimensional geological model.
[0027] In this embodiment, the anomalous geological body within the first length range predicted by electromagnetic exploration is defined as the second heterogeneous body.
[0028] Specifically, electromagnetic exploration methods include ground-penetrating radar (GPR), transient electromagnetic methods, induced polarization methods, and focused current methods. GPR is currently the most widely used electromagnetic exploration method, with advantages such as high resolution, intuitive images, and convenient operation. This embodiment uses GPR as an example for illustration.
[0029] In this embodiment, S2 specifically includes: 1. Using ground-penetrating radar, a detailed scanning exploration of the rock mass within a first length range of less than or equal to 30m from the working face is conducted to obtain a high-resolution image of the rock mass within this first length range, such as... Figure 11 As shown.
[0030] When conducting ground-penetrating radar (GPR) surveys, uneven areas at the tunnel face should be leveled, and survey lines should be rationally laid out according to the surrounding rock geological conditions. Generally, for steeply dipping rock strata, two transverse survey lines are sufficient. Figure 4 As shown, if the rock strata have a gentle dip or are nearly horizontal, it is advisable to lay out one horizontal survey line and one vertical survey line, such as... Figure 5 As shown.
[0031] 2. Based on the high-resolution imaging, determine the specific and interpretable geological structures such as lithological interfaces, structural planes, fracture zones, karst cavity outlines, and water-rich areas within the first length range, and determine the anomalous geological bodies within the first length range, i.e., the second heterogeneous bodies, based on the above geological structures.
[0032] 3. Based on the spatial distribution information such as the location and orientation of the second heterostructure, and the detailed structural information (such as joints and small faults) revealed by high-resolution imaging, the three-dimensional geological model is corrected to improve its representational accuracy. Figure 13 As shown.
[0033] S3. Determine the wave velocity parameters within a second length range that is greater than a second preset distance from the tunnel face using seismic exploration methods, and predict the third heterostructure within the second length range based on the wave velocity parameters; the second preset distance is greater than or equal to 100m, and the wave velocity parameters include the initial wave velocity.
[0034] In this embodiment, the anomalous geological body within the second length range predicted by seismic exploration is defined as the third heterogeneous body.
[0035] Specifically, seismic exploration methods include seismic reflection, seismic refraction, and seismic transmission methods. This embodiment uses the seismic reflection method as an example. Currently, advanced prediction systems based on the seismic reflection method mainly include the TSP303 advanced prediction system, the TRT7000 advanced prediction system, the TST advanced prediction system, the TGP advanced prediction system, and the TGS 360 Pro advanced prediction system. This embodiment uses the TGS 360 Pro advanced prediction system as an example.
[0036] The TGS 360 Pro advanced prediction system is a newly emerging advanced prediction system in recent years. It uses a hammer-driven seismic source, which is relatively simple to operate compared to the blasting seismic source used by other systems. It can provide cloud maps with multiple parameters such as surrounding rock stress distribution, wave velocity distribution, water content probability distribution, Young's modulus, Poisson's ratio, and hazard level, providing rich information dimensions.
[0037] In this embodiment, S3 specifically includes: 1. According to the equipment operation specifications of the TGS 360 Pro advanced prediction system, drill installation holes on the face or sidewall of the current construction section and install geophones in the holes. The geophones should be placed in an area with intact and flat rock surfaces to ensure the coupling between the geophones and the surrounding rock. A schematic diagram of geophone placement on the face is shown below. Figure 2 As shown in the diagram, a detector is installed on the sidewall. Figure 3 As shown.
[0038] 2. After the geophones are installed, a point with good rock integrity (usually near the midpoint of the line connecting the two geophones) is designated as the impact point. Then, a trigger hammer is used to vertically strike the rock surface at the impact point to generate seismic waves. The seismic wave data reflected from the rock mass is then collected. The data acquisition process must be conducted in an environment within the tunnel free from large machinery, metal interference sources, and blasting operations to ensure high-quality seismic wave data.
[0039] 3. Based on the collected seismic wave data, determine the direct wave information near the tunnel face, and then calculate the propagation velocity of the seismic wave in the rock mass of the tunnel section to be constructed based on the direct wave information, thereby determining the initial wave velocity and other wave velocity parameters.
[0040] 4. Based on initial wave velocity and other wave velocity parameters, the TGS 360 Pro advanced prediction system inverts rock mass structural parameters such as stress, water content probability, P-wave velocity, and surrounding rock hazard level to generate stress distribution maps (e.g., Figure 6 As shown), water content probability distribution map (as shown) Figure 7 (as shown), P-wave velocity distribution diagram (as shown) Figure 8 As shown), a two-dimensional distribution map of the surrounding rock hazard level (as shown). Figure 9 (as shown), a three-dimensional distribution map of the surrounding rock hazard level (such as...) Figure 10Multidimensional rock mass structure parameter cloud map (shown) and other parameters.
[0041] 5. Based on the aforementioned rock mass structural parameters, assess the overall quality and category of the surrounding rock. Then, focus on identifying and analyzing the spatial overlap and correlation of stress concentration zones, high water-probability zones, and high-risk zones. Comprehensively analyze the probability of existence, preliminary properties, and predicted locations of anomalous geological bodies such as strata, fracture zones, or water-rich areas. Finally, determine the anomalous geological bodies within a second length range of more than 100 meters from the working face, i.e., the third heterogeneous body.
[0042] It is worth noting that while the TGS 360 Pro advanced prediction system boasts numerous advantages such as long detection range, rich information dimensions, and ease of operation, in practical engineering applications, the accuracy of its determination of the spatial location of the third heterogeneous body is highly dependent on the accuracy of the initial wave velocity determination. Currently, the determination of the initial wave velocity is mainly based on the operator's subjective experience, which cannot represent the true, heterogeneous velocity field of the rock mass within the prediction range. This method of determining the initial wave velocity is highly susceptible to systematic deviations in the predicted location of the third heterogeneous body in areas with significant lithological variations or complex structures, severely impacting the accuracy of construction decision-making.
[0043] Therefore, in the subsequent step S4 of this embodiment, the accuracy of the initial wave velocity is determined based on the first heterostructure, the second heterostructure, and the third heterostructure, and it is corrected when the initial wave velocity is inaccurate, so as to realize the dynamic calibration of the initial wave velocity and improve the forecast accuracy of the TGS 360 Pro advanced forecast system.
[0044] S4. Dynamically calibrate the initial wave velocity based on the first, second, and third heterostructures, specifically including: 1. Geological attribute consistency analysis and spatial correlation analysis; Based on the predicted geological properties of the first, second, and third heterostructures, it is determined whether the predicted geological properties of the first, second, and third heterostructures are the same, in order to clarify the consistency of geological properties. Simultaneously, based on the spatial locations of the first, second, and third heterostructures, the spatial distance between any two of them is determined, in order to clarify spatial correlation.
[0045] 2. Determine the accuracy of the initial wave velocity based on the consistency of geological attributes and spatial correlation; 1) They share consistent geological attributes and strong spatial correlation; The initial wave velocity is corrected when the first, second, and third heterostructures meet the preset conditions.
[0046] The preset conditions include that the predicted geological properties of the first heterostructure, the second heterostructure, and the third heterostructure are the same, the spatial distance between any two of the first heterostructure, the second heterostructure, and the third heterostructure is less than the first distance, and the spatial distance between the second heterostructure and the third heterostructure is greater than the second distance.
[0047] The first distance and the second distance can be flexibly set according to the actual situation. For example, the first distance can be 10m and the second distance can be 5m.
[0048] In this embodiment, let the spatial location of the first heterogeneous body determined by the three-dimensional geological model be P1, the spatial location of the second heterogeneous body determined by the ground-penetrating radar method be P2, and the spatial location of the third heterogeneous body determined by the TGS 360 Pro advanced prediction system be P3. When the spatial distance between any two of P1, P2, and P3 is less than a first distance, it indicates that the spatial correlation between the first, second, and third heterogeneous bodies is strong. If the predicted geological attributes of the three are also the same, it indicates that the geological attributes of the three are consistent, suggesting that the first, second, and third heterogeneous bodies may be the same anomalous geological body. However, if the spatial distance between the second and third heterogeneous bodies is greater than the second distance, it indicates that there is a certain positional deviation in the prediction results of the ground-penetrating radar method and the TGS360 Pro advanced prediction system. Since the ground-penetrating radar method has high short-range detection accuracy, it can be determined that the above-mentioned positional deviation is mainly caused by inaccurate initial wave velocity, thereby triggering a correction process for the initial wave velocity.
[0049] Specifically, the correction process for the initial wave velocity includes: Based on the spatial locations of the second and third heterostructures, the positional deviation ΔL of the prediction results from the ground-penetrating radar method and the TGS 360Pro advanced prediction system is determined, i.e., ΔL = P2 - P3. Then, based on ΔL and the geometric relationship of seismic wave propagation, the wave velocity correction coefficient is calculated using an inversion algorithm. Let the wave velocity correction coefficient be α. In this embodiment, the wave velocity correction coefficient α is calculated using the principle model of α ≈ P2 / P3. Subsequently, based on the wave velocity correction coefficient α and the initial wave velocity, let the uncorrected initial wave velocity be v and the corrected initial wave velocity be v'. In this embodiment, the product of the wave velocity correction coefficient α and the uncorrected initial wave velocity v is taken as the corrected initial wave velocity v', i.e., v' = α × v.
[0050] After the correction is completed, this embodiment uses the TGS 360 Pro advanced prediction system to re-predict the third heterostructure within the second length range based on the corrected initial wave velocity, and obtains the updated third heterostructure. Then, based on the second heterostructure, the updated third heterostructure, and the corrected three-dimensional geological model, the prediction results of the three detection methods are fused to form the final comprehensive advanced geological prediction result, thereby realizing the advanced geological prediction of the area to be constructed.
[0051] 2) Inconsistent geological attributes or weak spatial correlation; When the spatial distance between the third heterogeneous body and the first heterogeneous body is greater than the third distance, or the spatial distance between the third heterogeneous body and the second heterogeneous body is greater than the third distance, the third heterogeneous body predicted by the TGS 360 Pro advanced prediction system has no clear and corresponding geological markers in the prediction map of the three-dimensional geological model or ground-penetrating radar. This indicates that the spatial correlation between the third heterogeneous body and the first or second heterogeneous body is not strong, and the third heterogeneous body and the first or second heterogeneous body are not the same anomalous geological body.
[0052] The third distance can be flexibly set according to the actual situation. For example, the third distance can be 15m.
[0053] When the predicted geological properties of the third heterostructure differ from those of the first heterostructure, or the predicted geological properties of the third heterostructure differ from those of the second heterostructure, there is a contradiction between the predicted geological properties of the TGS 360 Pro advanced forecasting system and those of the three-dimensional geological model or ground-penetrating radar method (for example, a water-rich area shown in the forecast map of the TGS 360 Pro advanced forecasting system is shown as a dry area in the forecast map of the ground-penetrating radar method). This indicates that the geological properties of the third heterostructure are inconsistent with those of the first or second heterostructure, and that the third heterostructure is not the same anomalous geological body as the first or second heterostructure.
[0054] In this embodiment, when the spatial distance between the third heterostructure and the first or second heterostructure is greater than a third distance, or when the predicted geological properties of the third heterostructure differ from those of the first or second heterostructure, the third heterostructure predicted by the TGS 360 Pro advanced prediction system is treated as an independent physical field anomaly information, listed alongside the prediction results of the 3D geological model and ground-penetrating radar method. In the comprehensive advanced geological prediction results, the third heterostructure is marked as an anomaly area requiring key verification or exhibiting multiple solutions. If necessary, this embodiment can verify or determine the actual geological properties of the third heterostructure using methods such as enhanced monitoring, intensified detection, or drilling, based on the engineering risk assessment level of the third heterostructure. Based on the actual geological properties, the second heterostructure, the third heterostructure, and the corrected 3D geological model, a comprehensive advanced geological prediction result for the area to be constructed is generated. This demonstrates the conservative and reliable handling of complex geological conditions by this method.
[0055] 3) They have consistent geological properties and coincide in spatial location; When the predicted geological properties of the first, second, and third heterostructures are the same, and their spatial locations are basically consistent (e.g., the distance between any two of the first, second, and third heterostructures is less than 1m), the accuracy of the initial wave velocity can be determined to be high. This result can enhance confidence in the initial wave velocity value and can be used to optimize the rock mass structure parameters of the three-dimensional geological model (e.g., to correlate the high stress values inverted by the TGS 360 Pro advanced prediction system with the key blocks in the three-dimensional geological model).
[0056] In this embodiment, the corrected initial wave velocity is used not only for the advanced geological prediction of the current tunnel section to be constructed, but also for the advanced geological prediction of the next tunnel section to be constructed. In the subsequent cyclic prediction process, the initial wave velocity is iteratively corrected according to this method, thereby realizing the dynamic calibration of the initial wave velocity and continuously improving the accuracy of long-distance advanced geological prediction.
[0057] Another embodiment of the present invention provides an advanced geological prediction system combining long- and short-range forecasts, the system comprising: The modeling unit is used to construct a three-dimensional geological model within a first length range of the area to be constructed, which is less than a first preset distance from the working face, based on the geological information exposed in the constructed area, and to predict the first heterogeneous body within the first length range based on the three-dimensional geological model. The near-range prediction unit is used to predict the second heterostructure within a first length range using electromagnetic exploration methods, and to correct the three-dimensional geological model using the second heterostructure. The long-distance prediction unit is used to determine the wave velocity parameters within a second length range that is greater than a second preset distance from the working face using seismic exploration methods, and to predict the third heterostructure within the second length range based on the wave velocity parameters; the second preset distance is greater than the first preset distance. The advanced prediction unit is used to correct the wave velocity parameters when the first heterostructure, the second heterostructure and the third heterostructure meet the preset conditions, and to make advanced geological predictions for the construction area based on the corrected wave velocity parameters and the corrected three-dimensional geological model. The preset conditions include that the predicted geological properties of the first heterostructure, the second heterostructure, and the third heterostructure are the same, the spatial distance between any two of the first heterostructure, the second heterostructure, and the third heterostructure is less than the first distance, and the spatial distance between the second heterostructure and the third heterostructure is greater than the second distance.
[0058] Another embodiment of the present invention provides a storage device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the steps of the advanced geological prediction method combining long and short distances as described above.
[0059] This invention constructs a three-dimensional geological model of the area to be constructed within a short distance from the working face, based on the geological information exposed in the already constructed area. Based on this model, a first heterogeneous body within this short distance is predicted. Then, electromagnetic exploration and seismic exploration are used to perform long-distance and short-distance advanced geological predictions of the area to be constructed, identifying a second heterogeneous body within the short distance and a third heterogeneous body within the long distance. Next, the three-dimensional geological model is revised based on the second heterogeneous body. The accuracy of the wave velocity parameters of the seismic exploration method is determined based on the predicted geological properties of the first, second, and third heterogeneous bodies and their spatial distances. This leads to further revision of the wave velocity parameters, improving the prediction accuracy of the seismic exploration method. Finally, the revised wave velocity parameters and the revised three-dimensional geological model are combined to perform advanced geological predictions of the area to be constructed. This approach combines the advantages of a wide long-distance prediction range and high short-distance prediction accuracy, allowing the prediction results of different detection methods to mutually correct and calibrate, overcoming the limitations of a single detection method, significantly improving the accuracy of seismic exploration in identifying anomalous geological bodies, and achieving precise long-distance advanced geological prediction. Meanwhile, during the construction process, the invention iteratively performs advanced geological prediction and corrects the initial wave velocity as the project progresses, thereby achieving dynamic calibration of the wave velocity parameters and continuously improving the accuracy of long-distance advanced geological prediction.
[0060] The above description is merely a few embodiments of this application and is not intended to limit this application in any way. Although this application discloses preferred embodiments as described above, it is not intended to limit this application. Any changes or modifications made by those skilled in the art without departing from the scope of the technical solution of this application using the disclosed technical content are equivalent to equivalent implementation cases and fall within the scope of the technical solution.
Claims
1. A method for advanced geological prediction combining long- and short-distance data, characterized in that, The method includes: S1. Construct a three-dimensional geological model within a first length range of the area to be constructed, which is less than a first preset distance from the working face, based on the geological information exposed in the constructed area, and predict the first heterogeneous body within the first length range based on the three-dimensional geological model. S2. Predict the second heterostructure within the first length range using electromagnetic exploration, and use the second heterostructure to correct the three-dimensional geological model; S3. Determine the wave velocity parameters within a second length range that is greater than a second preset distance from the working face using seismic exploration methods, and predict the third heterostructure within the second length range based on the wave velocity parameters; the second preset distance is greater than the first preset distance; S4. When the first heterostructure, the second heterostructure, and the third heterostructure meet the preset conditions, the wave velocity parameter is corrected, and the advanced geological prediction of the area to be constructed is carried out based on the corrected wave velocity parameter and the corrected three-dimensional geological model. The preset conditions include that the predicted geological properties of the first heterostructure, the second heterostructure, and the third heterostructure are the same, the spatial distance between any two of the first heterostructure, the second heterostructure, and the third heterostructure is less than a first distance, and the spatial distance between the second heterostructure and the third heterostructure is greater than a second distance.
2. The method according to claim 1, characterized in that, The correction of the wave velocity parameter in S4 specifically includes: The correction coefficient for the wave velocity parameter is determined based on the spatial positions of the second heterostructure and the third heterostructure. The wave velocity parameter is corrected according to the correction factor.
3. The method according to claim 1, characterized in that, S4 performs advanced geological prediction of the area to be constructed based on the corrected wave velocity parameters and the corrected three-dimensional geological model, specifically including: The third heterostructure within the second length range is re-predicted based on the corrected wave velocity parameters, resulting in an updated third heterostructure. Advanced geological forecasting is performed on the area to be constructed based on the updated third heterostructure, the second heterostructure, and the revised three-dimensional geological model.
4. The method according to claim 1, characterized in that, S4 also includes: When the spatial distance between the third heterostructure and the first heterostructure or the second heterostructure is greater than the third distance, or when the predicted geological properties of the third heterostructure are different from those of the first heterostructure or the second heterostructure, the actual geological properties of the third heterostructure are determined by drilling. Based on the actual geological properties, the second heterogeneous body, the third heterogeneous body, and the corrected three-dimensional geological model, advanced geological prediction is performed on the area to be constructed.
5. The method according to claim 1, characterized in that, S3 predicts the third heterostructure within the second length range based on the wave velocity parameter, specifically including: Based on the wave velocity parameters, the rock mass structure parameters within the second length range are determined using parameter analysis methods; Predict the third heterostructure within the second length range based on the rock mass structure parameters.
6. The method according to claim 1, characterized in that, S1 constructs a three-dimensional geological model of the area to be constructed within the first length range from the working face in the area to be constructed, based on the geological information exposed in the already constructed area. Specifically, this includes: The structural features of the working face are determined based on the geological information exposed in the already constructed area; Based on the structural features, a three-dimensional geological model is constructed within the first length range from the working face in the area to be constructed.
7. The method according to claim 1, characterized in that, The wave velocity parameter includes the initial wave velocity.
8. The method according to claim 1, characterized in that, The first preset distance is less than or equal to 30m, and the second preset distance is greater than or equal to 100m.
9. A combined long- and short-range advanced geological prediction system, characterized in that, The system includes: The modeling unit is used to construct a three-dimensional geological model within a first length range of the area to be constructed, which is less than a first preset distance from the working face, based on the geological information exposed in the constructed area, and to predict the first heterogeneous body within the first length range based on the three-dimensional geological model. The near-range prediction unit is used to predict the second heterostructure within a first length range using electromagnetic exploration methods, and to correct the three-dimensional geological model using the second heterostructure. The long-distance prediction unit is used to determine the wave velocity parameters within a second length range that is greater than a second preset distance from the working face using seismic exploration methods, and to predict the third heterostructure within the second length range based on the wave velocity parameters; the second preset distance is greater than the first preset distance. The advanced prediction unit is used to correct the wave velocity parameters when the first heterostructure, the second heterostructure and the third heterostructure meet the preset conditions, and to make advanced geological predictions for the construction area based on the corrected wave velocity parameters and the corrected three-dimensional geological model. The preset conditions include that the predicted geological properties of the first heterostructure, the second heterostructure, and the third heterostructure are the same, the spatial distance between any two of the first heterostructure, the second heterostructure, and the third heterostructure is less than the first distance, and the spatial distance between the second heterostructure and the third heterostructure is greater than the second distance.
10. A storage device, characterized in that, The storage device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that the processor, when executing the computer program, implements the steps of the combined long- and short-distance advanced geological prediction method as described in any one of claims 1 to 8.