CN113050085A - Advanced geological prediction method - Google Patents

Advanced geological prediction method Download PDF

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Publication number
CN113050085A
CN113050085A CN202110286999.0A CN202110286999A CN113050085A CN 113050085 A CN113050085 A CN 113050085A CN 202110286999 A CN202110286999 A CN 202110286999A CN 113050085 A CN113050085 A CN 113050085A
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detection
geological
background field
seismic wave
pipe gallery
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马国凯
林万顺
袁鸿鹄
刘勇
张琦伟
栾明龙
张如满
姜思华
刘爱友
魏定勇
孙雪松
刘增
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BEIJING INSTITUTE OF WATER
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BEIJING INSTITUTE OF WATER
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S13/00Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
    • G01S13/88Radar or analogous systems specially adapted for specific applications
    • G01S13/885Radar or analogous systems specially adapted for specific applications for ground probing
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S13/00Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
    • G01S13/86Combinations of radar systems with non-radar systems, e.g. sonar, direction finder
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V11/00Prospecting or detecting by methods combining techniques covered by two or more of main groups G01V1/00 - G01V9/00

Abstract

The embodiment of the invention provides a method for advanced geological prediction, which is used for pipe gallery engineering of mountainous terrain. The method comprises the following steps: acquiring deformation parameters and a background field of surrounding rock of the pipe gallery, wherein the background field is a physical property feedback background of lithology in a work area; determining a detection position according to the deformation parameters of the pipe gallery surrounding rock; carrying out comprehensive detection on the detection position, wherein the comprehensive detection comprises geological radar detection and seismic wave detection; and comparing the detection result with the background field, wherein the background field comprises a geological radar detection background field and a seismic wave detection background field, and performing advanced geological prediction according to the comparison result. The comprehensive advanced geological prediction is carried out by the geological radar and the seismic wave advanced prediction method, so that the detection accuracy and precision are improved, the implementation efficiency is improved, and the risk of investigation is reduced.

Description

Advanced geological prediction method
Technical Field
The invention relates to the technical field of engineering detection, in particular to a method for advanced geological prediction.
Background
Advanced Geological forecast or Tunnel advanced Geological forecast (Tunnel Geological forecast/forecasting) is to forecast the surrounding rock and stratum conditions in front of and around the Tunnel face in Tunnel excavation. There are many geophysical prospecting methods commonly used for advanced geological prediction, and electromagnetic prospecting, seismic prospecting, infrared thermal imaging prospecting and other methods are known from the wide category of prospecting. However, due to the limitation of geophysical prospecting technology, the existing exploration means generally have the problems of short forecast length, high cost, normal construction time occupation and the like.
Disclosure of Invention
The embodiment of the invention aims to provide a method for advanced geological prediction, which carries out comprehensive advanced geological prediction by a geological radar and a seismic wave advanced prediction method, improves the detection accuracy and precision, improves the implementation efficiency and reduces the investigation risk.
The invention is mainly applied to a comprehensive pipe gallery and similar projects, such as the comprehensive pipe gallery matched with the periphery of a Beijing Donkeyu Toyoyo Yanqing competition area, and the main geological conditions of the comprehensive pipe gallery are that rock mass is locally crushed, the integrity and self-stability of surrounding rock are poor, a joint crack dense zone exists locally, and bed rock crack water develops. The influence of seasonal precipitation is large, water seepage or water gushing risks exist in rainy seasons, surrounding rocks are prone to collapse, and side walls are prone to instability. Therefore, the advance geological prediction under the complex geological conditions becomes a difficult point in the field of engineering geophysical prospecting, and the problems of short prediction length, high cost, normal construction time occupation and the like generally exist in the conventional exploration means.
In order to solve the above problem, an embodiment of the present invention provides a method for advanced geological prediction, which is used for pipe gallery engineering of mountainous terrain, and the method includes: acquiring deformation parameters and a background field of surrounding rock of the pipe gallery, wherein the background field is a physical property feedback background of lithology in a work area; determining a detection position according to the deformation parameters of the pipe gallery surrounding rock; carrying out comprehensive detection on the detection position, wherein the comprehensive detection comprises geological radar detection and seismic wave detection; and comparing the detection result with the background field, wherein the background field comprises a geological radar detection background field and a seismic wave detection background field, and performing advanced geological prediction according to the comparison result.
Optionally, the deformation parameters of the surrounding rock of the pipe gallery comprise at least one of vertical displacement of the slope top of the upward slope of the tunnel portal, ground surface settlement of the slope top of the foundation pit, horizontal displacement of the slope top and vertical displacement.
Optionally, according to pipe gallery country rock deformation parameter, confirm to survey the position and include: and if the surrounding rock deformation parameter is not within the threshold value range, the surrounding rock is the detection position.
Optionally, the total station and the level gauge are preferably selected as the equipment for obtaining the deformation parameters of the pipe gallery surrounding rock.
Optionally, at least one detection device is provided for a detection position, and/or the detection position is detected at least once.
Optionally, the geological radar detection background field and the seismic wave detection background field are obtained according to geological data of the pipe gallery.
Optionally, the result of the geological radar detection is an electromagnetic wave reflected signal; the result of the seismic wave detection is a seismic wave reflection signal; the electromagnetic wave reflection signal and the elastic wave reflection signal at least comprise amplitude, frequency and effective signals; the electromagnetic wave reflection signals and the seismic wave reflection signals of different lithologies are different.
Optionally, comparing the result of geological radar detection with the geological radar detection background field to obtain a first abnormal region; comparing the result of the seismic wave detection with the background field of the seismic wave detection to obtain a second abnormal region; and at least determining the properties, positions and scales of the geological body according to the abnormal region I, the abnormal region II and the geological data, so as to realize advanced geological forecast.
Optionally, the geological radar detection includes receiving electromagnetic wave reflection signals by using a radar, and obtaining a structural state and distribution of the underground medium according to the electromagnetic wave reflection signals; and the seismic wave detection comprises the steps of receiving seismic wave reflection signals by using a seismic signal sensor and obtaining a three-dimensional model of the geological condition according to the seismic wave reflection signals.
Optionally, the method for advanced geological prediction is also used for guiding geological sketch.
By the technical scheme, the deformation parameters of the surrounding rock of the pipe gallery are obtained according to the complex geological conditions of the engineering of the comprehensive pipe gallery in the mountainous area; determining a detection position according to the deformation parameters of the pipe gallery surrounding rock; carrying out comprehensive detection on the detection position, wherein the comprehensive detection comprises geological radar detection and seismic wave detection; and comparing the detection result with the background field, and performing advanced geological forecast according to the comparison result. Through data processing and analysis, rock stratum geoelectrical parameters and elastic wave mechanical parameters are respectively obtained, a three-dimensional effect model is established, information such as a front-end geological structure of a tunnel face is further deduced, advanced geological forecast of the comprehensive pipe gallery engineering under complex geological conditions of a mountain area is achieved, and the method has the advantages of being high in detection accuracy, reducing investigation risks and the like.
Additional features and advantages of embodiments of the invention will be set forth in the detailed description which follows.
Drawings
The accompanying drawings, which are included to provide a further understanding of the embodiments of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the embodiments of the invention without limiting the embodiments of the invention. In the drawings:
FIG. 1 is a schematic flow chart of a method of advanced geological prediction of the present invention;
FIG. 2 is a schematic view of the monitoring of the deformation parameters of the pipe gallery surrounding rock of the present invention;
FIG. 3 is a flow chart of geological radar detection of the present invention;
FIG. 4 is a schematic view of a geological radar survey line arrangement of the present invention;
FIG. 5 is a schematic representation of geological radar detection results of the present invention;
FIG. 6 is a flow chart of seismic wave detection of the present invention;
FIGS. 7 and 8 are schematic diagrams of seismic wave detection arrangements of the present invention;
FIG. 9 is a schematic representation of the seismic wave detection results of the present invention;
FIGS. 10 and 11 are schematic diagrams of the geological radar detection background field of the present invention;
FIGS. 12 and 13 are schematic diagrams of the background field of seismic wave detection of the present invention.
Detailed Description
The following detailed description of embodiments of the invention refers to the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating embodiments of the invention, are given by way of illustration and explanation only, not limitation.
Fig. 1 is a schematic flow chart of a method for advanced geological prediction according to the present invention, as shown in fig. 1, step S101 is to obtain deformation parameters and a background field of pipe gallery surrounding rock. The deformation parameters of the pipe gallery surrounding rock comprise at least one of vertical displacement of an upward slope top of the tunnel portal, ground surface settlement of a slope top of the foundation pit, horizontal displacement of the slope top and vertical displacement. The background field is a physical property feedback background of lithology in the work area, and comprises a geological radar detection background field and a seismic wave detection background field. And preferably selecting a total station and a level gauge by the equipment for acquiring the deformation parameters of the pipe gallery surrounding rock. The leveling instrument is an instrument for establishing a horizontal sight line to measure the height difference between two ground points, and the principle is to measure the height difference between the ground points according to the leveling principle. The Total Station, namely a Total Station type Electronic distance meter (Electronic Total Station), is a high-tech measuring instrument integrating light collection, mechanical measurement and electrical measurement, is a surveying and mapping instrument system integrating horizontal angle, vertical angle, distance (slant distance, horizontal distance) and height difference measurement functions, and is widely applied to the field of precision engineering measurement or deformation monitoring of aboveground large buildings, underground tunnel construction and the like.
Step S102 is that according to the pipe gallery surrounding rock deformation parameter, the detection position is determined, and the method comprises the following steps: and if the surrounding rock deformation parameter is not within the threshold value range, the surrounding rock is the detection position. The threshold range can be determined according to relevant specifications such as 'construction foundation pit engineering monitoring technical specification' and the like and design technical requirements. After comprehensively analyzing the accumulative value and the deformation rate of the surrounding rock deformation monitoring data in a controllable range, determining a detection mode, wherein the method comprises the steps of arranging at least one detection device at a detection position and/or detecting the detection position at least once. The detection device comprises a seismic signal sensor and an electromagnetic wave emitter. The detecting the detection position not less than 1 time may include: and when the geological radar is used for detecting, carrying out high-density electromagnetic wave emission or multi-frequency electromagnetic wave emission on the detection position, and transmitting seismic wave signals for the detection position at multi-frequency times when the seismic waves are detected. Where the deformation rate is the two adjacent monitored deformation increments divided by time, such as yesterday where the dome monitoring point elevation is 453.215m and today is 453.208m, then the deformation rate is (453.208-453.215)/1-7 mm/d.
Step S103 is to carry out comprehensive detection on the detection position, wherein the comprehensive detection comprises geological radar detection and seismic wave detection. The result of the geological radar detection is an electromagnetic wave reflection signal; the result of the seismic wave detection is a seismic wave reflection signal; the electromagnetic wave reflection signal and the elastic wave reflection signal at least comprise amplitude, frequency and effective signals; the electromagnetic wave reflection signals and the seismic wave reflection signals of different lithologies are different. The geological radar detection comprises the steps of receiving electromagnetic wave reflection signals by using a radar, and obtaining the structural state and distribution of the underground medium according to the electromagnetic wave reflection signals. Geological radar is an electromagnetic technique that uses electromagnetic waves to detect the distribution of underground media and scan invisible objects or underground interfaces to determine the morphology or position of its internal structure. When the geological radar works, electromagnetic waves are transmitted through the transmitting antenna in a broadband pulse mode, reflected or transmitted by a target body, and received by the receiving antenna. The propagation of electromagnetic waves depends on the electrical properties of the object, which have a conductivity μ and a dielectric constant ε, the former mainly affecting the penetration (detection) depth of the electromagnetic waves, and the latter determining the propagation velocity of the electromagnetic waves in the object, so-called electrical interfaces, i.e. the velocity interfaces of electromagnetic wave propagation. Different geologic bodies (objects) have different electrical properties, so that an electrical interface is formed on the interface of the geologic bodies with different electrical properties, a reflected signal is generated and returned to the ground when a radar signal is transmitted to the electrical interface, and the distribution and the change condition of an underground medium can be estimated by receiving the time when the reflected signal reaches the ground and the strength of the signal. FIG. 5 is a schematic diagram of the detection results of the geological radar of the present invention, as shown in FIG. 5, the electromagnetic wave propagates through the medium, the path, electromagnetic field strength and waveform vary with the electrical differences and the aggregate morphology of the medium, so that the spatial position or structural state of the subsurface or target volume can be determined by collecting, processing and analyzing the time-domain waveform.
The seismic wave detection comprises the steps of receiving seismic wave reflection signals by using a seismic signal sensor, obtaining a three-dimensional model of geological conditions according to the seismic wave reflection signals, and preferably adopting a TRT6000 geological advanced prediction system. The TRT6000 wireless vibration wave three-dimensional imaging geological advanced forecasting system adopts vibration tomography and holographic rock-soil imaging technologies, vibration wave signals transmitted and recorded by a complex medium are composed of various waveforms such as refraction, reflection, scattering, diffusion and the like, and tomography and holographic imaging are common inversion technologies for estimating the position and range of medium property change by using signal waveform and phase change. The basic principle of the demonstrated three-dimensional imaging (Rock Vision3DTM) technique of the TRT6000 system is based on the propagation of vibrational energy at different rates of attenuation and velocities in different kinds of media. Generally, a shock wave has a higher propagation velocity and lower attenuation when propagating in an intact, hard medium than in a broken or fissure-developed rock mass or void condition. In addition, when the vibration waves meet the interface of the rock soil area with different vibration characteristics in the rock soil propagation process, the vibration waves can be reflected, most of geological structure anomalies and lithological changes can form detectable vibration emission within the range of the distance which can be reached by the vibration signals. Fig. 9 is a schematic diagram of the detection result of seismic waves, and as shown in fig. 9, a TRT6000 system draws a three-dimensional holographic geotechnical and geological structure image by comprehensively analyzing and processing various collected seismic wave signals.
And step S104, comparing the detection result with the background field, and performing advanced geological forecast according to the comparison result. The background field is a physical property feedback background of lithology in a work area, the background field comprises a geological radar detection background field and a seismic wave detection background field, the geological radar detection background field and the seismic wave detection background field are obtained according to geological data of a pipe gallery in a production test, and fig. 10 and 11 are schematic diagrams of the geological radar detection background field, wherein fig. 10 is a background field of complete lithology waveforms detected by a geological radar, and fig. 11 is a background field of broken lithology waveforms detected by the geological radar; fig. 12 and 13 are schematic diagrams of the background field of seismic wave detection of the present invention, fig. 12 being the background field of the complete lithologic waveform of seismic wave detection, and fig. 13 being the background field of the broken lithologic waveform of seismic wave detection. Comparing fig. 10 and 11, and fig. 12 and 13, respectively, a location with poor lithology can be obtained, with strong amplitude and low frequency. Comparing the result of geological radar detection with the geological radar detection background field to obtain a first abnormal region; comparing the result of the seismic wave detection with the background field of the seismic wave detection to obtain a second abnormal region; and at least determining the properties, positions and scales of the geological body according to the abnormal region I, the abnormal region II and the geological data, so as to realize advanced geological forecast.
Fig. 2 is a schematic view of monitoring deformation parameters of the pipe gallery surrounding rock of the invention. The deformation parameters of the pipe gallery surrounding rock comprise at least one of vertical displacement of an upward slope top of the tunnel portal, ground surface settlement of a slope top of the foundation pit, horizontal displacement of the slope top and vertical displacement. The deformation parameters of the pipe gallery surrounding rock further comprise deformation, deformation rate and the like obtained by calculation according to any one or more numerical values of vertical displacement of the slope top of the upward slope of the tunnel portal, ground surface settlement of the slope top of the foundation pit, horizontal displacement and vertical displacement of the slope top. As shown in fig. 2, the ordinate is deformation, the larger the value of the deformation of the surrounding rock is, the larger the deformation of the surrounding rock is, the poorer the lithological stability of the surrounding rock is, and the abscissa is a monitoring time period, so that the autocorrelation comparison can be performed on the same measuring point, and the deformation comparison can be performed on different measuring points. The monitoring lines of different colors reflect the monitoring data of different measuring points, and the diagram shows a total of 9 monitoring points. Wherein line ZQS-2 indicates that the amount of deformation was large, particularly two days of month 5, 26 and 27. Comprehensively considering, the possibility of instability of lithology in the ZQS-2 area is high, and the position is detected for the geophysical prospecting point.
Geological radar is an electromagnetic technique that uses electromagnetic waves to detect the distribution of underground media and scan invisible objects or underground interfaces to determine the morphology or position of its internal structure. When the geological radar works, electromagnetic waves are transmitted through the transmitting antenna in a broadband pulse mode, reflected or transmitted by a target body, and received by the receiving antenna. The propagation of electromagnetic waves depends on the electrical properties of the object, which have a conductivity μ and a dielectric constant ε, the former mainly affecting the penetration (detection) depth of the electromagnetic waves, and the latter determining the propagation velocity of the electromagnetic waves in the object, so-called electrical interfaces, i.e. the velocity interfaces of electromagnetic wave propagation. Different geologic bodies (objects) have different electrical properties, so that an electrical interface is formed on the interface of the geologic bodies with different electrical properties, a reflected signal is generated and returned to the ground when a radar signal is transmitted to the electrical interface, and the distribution and the change condition of an underground medium can be estimated by receiving the time when the reflected signal reaches the ground and the strength of the signal. When the electromagnetic wave is transmitted in the medium, the path, the electromagnetic field intensity and the waveform of the electromagnetic wave change along with the electrical difference and the aggregation form of the medium, so that the spatial position or the structural state of an underground interface or a target body can be determined by collecting, processing and analyzing the time-domain waveform, and the method has the characteristics of high resolution, no damage, high efficiency, strong anti-interference capability and the like.
FIG. 3 is a flow chart of geological radar detection of the present invention. The geological radar detection comprises the steps of receiving electromagnetic wave reflection signals by using a radar, and obtaining the structural state and distribution of the underground medium according to the electromagnetic wave reflection signals. As shown in fig. 3, step S301 is to arrange the survey lines, and fig. 4 is a schematic diagram of the geological radar survey line arrangement according to the invention. During detection, a measuring line is arranged on a tunnel working face for detection, and a 100MHz low-frequency shielding antenna is adopted for detection, so that the change condition of surrounding rocks in a certain distance range in front of the tunnel working face is forecasted. The layout survey lines can be added according to the field conditions of the tunnel face or the actual working requirements.
Step S302 is to obtain an electromagnetic wave reflection signal. The detected radar pattern is recorded in the form of a waveform of the pulse reflection wave. The underground medium is equivalent to a complex filter, the medium absorbs waves to different degrees and the nonuniformity of the medium, so that when the pulse reaches a receiving antenna, the amplitude is reduced, and the waveform is greatly different from the original transmitted waveform.
Step S303 is image processing, and fig. 5 is a schematic diagram of a geological radar detection result according to the present invention. The image processing comprises eliminating random noise suppression interference, carrying out automatic time-varying gain or gain control to compensate medium absorption and clutter suppression, carrying out filtering processing to remove high frequency, highlighting a target body, and reducing background noise and aftervibration influence. The data file is processed by methods such as preprocessing, gain adjustment, filtering, mapping and the like. And finally obtaining a result graph of each measuring line, and carrying out geological interpretation on the detection object according to the result graph. Preprocessing includes marker and stake number correction, adding titles, logos, etc. Geological detection data processing mainly aims at suppressing regular and random interference, displaying reflected waves on a ground penetrating radar image section with the highest resolution as possible, and highlighting useful abnormal information (including electromagnetic wave speed, amplitude, waveform and the like) to help interpretation.
The principle of the TRT6000 seismic wave advance forecasting method is that when a seismic wave encounters an acoustic impedance difference (product of density and wave velocity) interface, a part of signals are reflected back, a part of signals are transmitted into a front medium, and the change of acoustic impedance usually occurs at a geological rock layer interface or a discontinuous interface in a rock body. The reflected seismic signals are received by highly sensitive seismic signal sensors and analyzed to understand the properties (soft zone, rag zone, fault, water cut, etc.), location and scale of the geologic volume in front of the tunnel face. Reflection system of normal incidence to boundaryThe numerical formula is as follows:
Figure BDA0002980882300000081
assuming that R is a reflection coefficient, ρ 1 and ρ 2 are the density of the rock formation, and V is equal to the propagation velocity of seismic waves in the rock formation. When seismic waves propagate from a low-impedance substance to a high-impedance substance, the reflection coefficient is positive; conversely, the reflection coefficient is negative. Thus, as seismic waves propagate from soft rock to hard surrounding rock, the deflection polarity of the echo and the source of the wave are consistent. The intensity of the reflected signal mainly depends on the electrical property difference of the upper and lower layer media, the greater the electrical property difference, the stronger the transmitted signal, the penetration depth of the radar wave mainly depends on the electrical property and the central frequency of the underground medium, the higher the electrical conductivity, the smaller the penetration depth, the higher the central frequency, and the smaller the penetration depth. When there is a fractured zone within the rock mass, the polarity of the echo will reverse. The larger the size of the reflector, the greater the difference in acoustic impedance, and the more pronounced and easily detectable the echo.
FIG. 6 is a flow chart of seismic wave detection of the present invention. And the seismic wave detection comprises the steps of receiving seismic wave reflection signals by using a seismic signal sensor and obtaining a three-dimensional model of the geological condition according to the seismic wave reflection signals.
As shown in FIG. 6, step S601 is the arrangement of sensors, sources and receivers. FIGS. 7 and 8 are schematic diagrams of seismic wave detection arrangements of the present invention. Because the TRT6000 system obtains a three-dimensional map of geological conditions, a large number of sensors are required to be installed, and 10 sensors are installed at different positions, as shown in fig. 7. The sensors are arranged at the position 10 meters away from the last seismic source point, the left side wall and the right side wall are respectively provided with four sensors, one sensor is arranged at the interval of 5 meters (in the direction of mileage), and 2 sensors are arranged at the arch top of the center line of the tunnel. The two sides of the tunnel face are provided with two groups of seismic sources, each group is provided with three seismic source points along the vertical direction (elevation direction), the difference between each seismic source point is about 1 meter, and the two groups are separated by 2 meters (mileage direction). The shock points are arranged, as shown in fig. 8, on the exposed rock mass (or the initial support with the strength) behind the tunnel face, hammering is adopted. The receiver must be tightly coupled to the walls of the hole and no other vibration source should be present in the tunnel during the measurement.
Step S602 is to obtain seismic wave reflection signals. When seismic waves propagate from a low-impedance substance to a high-impedance substance, the reflection coefficient is positive; conversely, the reflection coefficient is negative. Thus, as seismic waves propagate from soft rock to hard surrounding rock, the deflection polarity of the echo and the source of the wave are consistent. When there is a fractured zone within the rock mass, the polarity of the echo will reverse. The larger the size of the reflector, the greater the difference in acoustic impedance, and the more pronounced and easily detectable the echo.
Step S603 is data processing and interpretation. The collected data is processed by adopting TRT6000 special software. The imaging graph adopts a relative interpretation principle, namely a background field is determined, all interpretations are carried out relative to a background value, an abnormal region can deviate from the background region value, and the geological condition in front of the tunnel is interpreted according to the deviation and distribution combined with geological data. The TRT6000 adopts the tomography technology to form a three-dimensional and visual three-dimensional stereogram, and discrete images of each point of a reflection boundary in the stereogram are calculated by overlapping all seismic waveforms in space.
The embodiment of the invention provides a method for advanced geological prediction, which is also used for guiding geological sketch. Geological sketch is used for describing the spatial form and the mutual relationship of geological objective entities by a sketch technique, such as the contents of geomorphologic landscape, geological structures, rock minerals and the like. Under the guidance of monitoring data, the optimized comprehensive geophysical prospecting result is used for guiding geological sketch, which plays an important role in improving work efficiency and working quality.
The embodiment of the invention provides a method for advanced geological forecast, which is used for carrying out advanced forecast on surrounding rock and stratum conditions in front of a tunnel face and at the periphery of the tunnel face (mainly a railway tunnel) during tunnel excavation, and provides powerful support for design and constructors to analyze the geological conditions in front of the tunnel face.
Although the embodiments of the present invention have been described in detail with reference to the accompanying drawings, the embodiments of the present invention are not limited to the details of the above embodiments, and various simple modifications can be made to the technical solutions of the embodiments of the present invention within the technical idea of the embodiments of the present invention, and the simple modifications all belong to the protection scope of the embodiments of the present invention.
It should be noted that the various features described in the above embodiments may be combined in any suitable manner without departing from the scope of the invention. In order to avoid unnecessary repetition, the embodiments of the present invention do not describe every possible combination.
In addition, any combination of various different implementation manners of the embodiments of the present invention is also possible, and the embodiments of the present invention should be considered as disclosed in the embodiments of the present invention as long as the combination does not depart from the spirit of the embodiments of the present invention.

Claims (10)

1. A method for advanced geological prediction is used for pipe gallery engineering of mountainous terrain, and is characterized by comprising the following steps:
acquiring deformation parameters and a background field of surrounding rock of the pipe gallery, wherein the background field is a physical property feedback background of lithology in a work area;
determining a detection position according to the deformation parameters of the pipe gallery surrounding rock;
carrying out comprehensive detection on the detection position, wherein the comprehensive detection comprises geological radar detection and seismic wave detection;
and comparing the detection result with the background field, wherein the background field comprises a geological radar detection background field and a seismic wave detection background field, and performing advanced geological prediction according to the comparison result.
2. The method of claim 1, wherein the pipe gallery surrounding rock deformation parameters include at least one of vertical displacement of an up slope top of a cave entrance, ground surface settlement of a top slope of a foundation pit, horizontal and vertical displacement of the top slope.
3. The method of claim 1 or 2, wherein determining the probe position from the pipe gallery surrounding rock deformation parameters comprises:
and if the surrounding rock deformation parameter is not within the threshold value range, the surrounding rock is the detection position.
4. The method of claim 1,
the equipment for acquiring the deformation parameters of the pipe gallery surrounding rock comprises a total station and a level gauge.
5. The method of claim 1,
at least one detection device is arranged at the detection position, and/or the detection position is detected at least once.
6. The method of claim 1, wherein the geological radar detection background field and the seismic wave detection background field are derived from geological data of a pipe gallery.
7. The method of claim 1,
the result of the geological radar detection is an electromagnetic wave reflection signal; the result of the seismic wave detection is a seismic wave reflection signal;
the electromagnetic wave reflection signal and the elastic wave reflection signal at least comprise amplitude, frequency and effective signals;
the electromagnetic wave reflection signals and the seismic wave reflection signals of different lithologies are different.
8. The method according to claim 1 or 7,
comparing the result of geological radar detection with the geological radar detection background field to obtain a first abnormal region;
comparing the result of the seismic wave detection with the background field of the seismic wave detection to obtain a second abnormal region;
and at least determining the properties, positions and scales of the geological body according to the abnormal region I, the abnormal region II and the geological data, so as to realize advanced geological forecast.
9. The method according to claim 1 or 7,
the geological radar detection comprises the steps of receiving electromagnetic wave reflection signals by using a radar, and obtaining the structural state and distribution of the underground medium according to the electromagnetic wave reflection signals;
and the seismic wave detection comprises the steps of receiving seismic wave reflection signals by using a seismic signal sensor and obtaining a three-dimensional model of the geological condition according to the seismic wave reflection signals.
10. The method of any one of claims 1 to 9, wherein the method is further used to guide geological sketching.
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Cited By (2)

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Publication number Priority date Publication date Assignee Title
CN114047506A (en) * 2021-11-15 2022-02-15 江苏润通项目管理有限公司 Multi-module foundation pit remote supervision real-time monitoring method, system, device and storage medium
CN115598639A (en) * 2022-12-14 2023-01-13 山东大学(Cn) Device and method for collecting face geological conditions by millimeter wave radar in tunnel environment

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