3322results about "Water resource assessment" patented technology

The invention discloses a multi-source collaborative advanced geological exploration method based on TBM construction, and belongs to the technical field of tunnel engineering geological exploration. A three-dimensional geological model is constructed through multi-scale collaborative operation of directional long exploration drilling, branch short exploration drilling and in-hole transient electromagnetic detection; the directional long exploration adopts a secondary drilling structure and a screw motor directional drilling technology to realize accurate control of a deep stratum, the branch short exploration realizes dynamic and rapid verification through a TBM integrated drilling machine, meanwhile, in-hole transient electromagnetic exploration adopts three-component measurement and an intelligent inversion algorithm to fill the blank of geological information between drill holes, and by means of mutual data correction of the three methods, the detection accuracy is improved. A three-in-one detection system of drilling, geophysical prospecting and intelligent analysis is formed, and then accurate advanced prediction is achieved, so that the problems that a traditional single detection technology is low in precision and insufficient in coverage range are effectively solved, the water inrush risk is remarkably reduced, construction safety is guaranteed, and the method is effectively suitable for deep tunnel TBM safety construction.

A real-time quantitative characterization method, equipment and a medium for rock mass evolution are disclosed. The method includes: the multiphase field detection and monitoring data is fused; a deep learning model driven by physical principles is established based on the physical principles of fluid density; the deep learning model is trained using real-time fused data as input and corresponding evolution distribution images as output; a trained deep learning model is used to obtain an evolution distribution image based on multi-phase field detection and monitoring data of different time periods and types; a mathematical model is used to quantitatively characterize of physical and mechanical parameters in the whole process of progressive failure of the dynamic evolution of the rock mass based on the macroscopic mechanical parameters and evolution distribution images synchronized with multiphase field detection and monitoring data.

The present invention relates to the field of rock structure measurement, and disclosed are a three-dimensional pore reconstruction method and system based on a rock image, for use in solving the problem that using a machine learning method to reconstruct pores in a rock image requires relatively high mathematical or computer science expertise, involves high labor and economic costs, and is difficult to apply to small-scale rock pore reconstruction projects. The method comprises: step 1: grouping slice images of each rock sample into one set, and performing preprocessing; step 2: performing grayscale processing, histogram equalization and normalization processing on an image; step 3: using a Harris corner detection algorithm to perform corner detection, sorting Harris response values, selecting key points by setting the number of key points, and using a non-maximum suppression method to screen the selected key points; step 4: segmenting the boundaries of pores in the image by means of an adaptive threshold selection method, and extracting pore features; and step 5: using a marching cubes algorithm to construct a three-dimensional pore reconstruction model. The present invention is used for three-dimensional reconstruction of pores in a rock image.

The invention discloses an embankment hidden danger detection and early warning method and system based on electric field and electromagnetic field coupling, and the method comprises the following steps: obtaining and processing the resistivity and dielectric constant of an embankment dam body, constructing a joint inversion objective function based on a processing result, and carrying out the detection and early warning of the embankment hidden danger. A joint inversion model is established, a minimum joint inversion objective function is used for solving, a multi-physics field joint inversion result is obtained and used for delineating an abnormal area, a time-shifting resistivity monitoring network is arranged in the area for detection, the seepage velocity is obtained, soil mass mechanical parameters are defined, and the seepage velocity is calculated. And constructing an embankment hidden danger numerical model, using seepage velocities as boundary condition input, simulating embankment dam body stability safety coefficients under different seepage velocities, setting an early warning threshold value, and giving an alarm when the embankment dam body stability safety coefficients reach the early warning threshold value. Through coupling analysis of the earth electric field, the seepage velocity and the like, data multiplicity is effectively eliminated, the defect resolution is remarkably improved, and the misjudgment risk is greatly reduced.

The invention relates to the technical field of engineering, in particular to a geomembrane defect detection system and method under the earth and stone medium coverage condition, and the geomembrane defect detection system comprises a multi-mode adaptive sensing module, an edge calculation module, a data fusion module, a digital twinning module and a decision and application module; compared with the defects that single resistivity or geological radar detection is adopted in the prior art, interference of medium conductivity and metal impurities is likely to happen, and the deep resolution is insufficient, the scheme adopts multi-mode sensor network cooperative work, and a dynamic density layout and time-phased acquisition strategy is combined; through multi-mode complementation of an electrode array, an ultra-wideband radar, a distributed optical fiber and an MEMS vibration sensor, a dominant sensing mode is automatically switched in a conductive clay area, temperature gradient interference is avoided through night acquisition, the penetration depth is increased to 15 meters through multi-band radar fusion, and metal interference is inhibited; the detection precision and the anti-interference capability in a complex medium environment are remarkably improved, and the problems of high false alarm rate and high omission ratio of a traditional method are effectively solved.

The present disclosure provides a method for detecting stress state of roadway surrounding rocks based on three-dimensional electric potential response. By collecting the electric potential data, and then flattening the roadway contour to expand into a plane, performing spatial interpolation on all the electric potential measurement points to obtain a three-dimensional electric potential imaging volume, extracting three-dimensional abnormal electric potentials and drawing a three-dimensional abnormal electric potential isosurface model; performing unilateral inversion outside borehole areas, using a radial basis function surface interpolation method to draw a three-dimensional abnormal electric potential inversion probability isosurface model; using a three-dimensional electric potential response digital model, to intuitively visualize electric potential distribution spatial characteristics of the roadway surrounding rocks and clearly display a spatial range, direction and development trend of stress abnormal zones, and identifying and determining the stress states of roadway and abnormal electric potential response areas accurately.

The present disclosure relates to an active graded magnetic compensation system and method for an unshielded SERF magnetometer. The system comprises: a detection laser, a half-wave plate, a magnetic field compensation coil, a magnetic field modulation coil, a non-magnetic heating assembly, an alkali-metal atomic vapor cell, a polarizing beam splitter prism, a balanced photodetector, a graded feedback control module, a pump laser, a quarter-wave plate, a focusing lens and a photodetector. By means of the present disclosure, a graded compensation system is used to realize high-precision compensation for a magnetic field within a large dynamic range in a geomagnetic environment, thereby ensuring that an instrument carries out high-sensitivity magnetic field measurement under geomagnetic conditions.

The present disclosure provides a target region positioning method, an electronic device and a computer readable storage medium, the target region positioning method comprising: acquiring, by a camera, a target image comprising a skin surface region corresponding to a reaction bone; wherein the reaction bone is a bone having a target feature; identifying the skin surface region from the target image; determining first device coordinate information of a center position of the skin surface region in a device coordinate system; determining second device coordinate information of a center position of a target region comprising a lesion in the device coordinate system according to the first device coordinate information and predetermined first position relationship information; wherein the first position relationship information is position relationship information between the center position of the skin surface region and the center position of the target region.

The invention discloses a nuclear magnetic T2 spectrum correction method for a shale reservoir, and relates to the field of object detection, and the nuclear magnetic T2 spectrum correction method for the shale reservoir comprises the following steps: 1, determining the gas logging porosity, saturated water porosity and main mineral components of the shale reservoir; compared with the prior art, the method disclosed by the invention has the beneficial effects that a drying-saturated water-centrifugal two-dimensional nuclear magnetic resonance experiment is carried out, and signals of crystal water, clay bound water and hydroxyl in a sample are preliminarily identified; through inversion of organic matter signals in the dry sample, signals of movable water are further determined; the relation between the difference value among the gas logging porosity, the saturated water porosity and the nuclear magnetic porosity and different mineral contents is discussed, and particularly the remarkable influence of iron-containing minerals on the porosity difference value is discussed; by eliminating the influence of diffusion relaxation caused by the magnetic susceptibility difference, the T2 spectrum correction method based on the mineral magnetic susceptibility is established, and the T2 spectrum accuracy obtained through nuclear magnetic resonance measurement is improved.

The invention provides a nuclear magnetic resonance and image intelligent bimodal unfrozen water dynamic identification method and system, and belongs to the technical field of frozen soil engineering and geophysical exploration, and the method comprises the steps: sealing a frozen soil sample in a nuclear magnetic sample tube, and achieving the gradient cooling of the sample in a preset low temperature range through temperature control; scanning by using a nuclear magnetic resonance technology to obtain transverse relaxation time T2 spectrums and nuclear magnetic images of the frozen soil sample at different temperature nodes; after image preprocessing is carried out on the nuclear magnetic image, a temperature-signal intensity curve in the nuclear magnetic image is automatically extracted by utilizing an image recognition technology; carrying out integral calculation on a liquid water signal in the T2 spectrum, and dynamically calculating the content of the unfrozen water at each temperature based on a nuclear magnetic signal intensity formula; according to the method, a pore-fracture co-evolution matrix is constructed, accurate analysis of unfrozen water dynamic and pore evolution in the freezing and thawing process is realized, the method is suitable for hydrothermal coupling characteristic analysis of Qinghai-Tibet soil in a complex freezing and thawing environment, and reliable technical support is provided for stability evaluation of frozen soil engineering.

The invention relates to the technical field of rock sample oil-water saturation determination based on a nuclear magnetic technology, and provides a shale sample oil-water saturation intelligent determination method based on a two-dimensional nuclear magnetic technology, and the method comprises the following steps: collecting volumes, echo signals and signal-to-noise ratios of a preset number of rock samples; marking a target rock sample and a comparison rock sample, and determining a volume influence comprehensive interference degree and a noise amplification coefficient of a target echo signal; obtaining a denoised target echo signal according to the target echo signal, the volume of the rock sample corresponding to the target echo signal and the noise amplification coefficient of the echo signal; according to experiments of rock sample two-dimensional nuclear magnetic oil-water distribution, pore attributes and the like, a two-dimensional nuclear magnetic T1-T2 map is divided into an invalid pore area and an effective pore area of a rock sample corresponding to the two-dimensional nuclear magnetic T1-T2 map and an oil-water distribution area of the effective pore area, a fluid close to reservoir oil-water distribution is adopted to recover a two-dimensional nuclear magnetic spectrum of the rock sample, and the oil-water content corresponding to a nuclear magnetic signal is extracted; and obtaining a rock sample oil-water saturation determination result based on the nuclear magnetic technology.

The invention discloses a while-drilling electromagnetic wave advanced detection sensitivity analysis method, and belongs to the field of oil-gas exploration and development. The method comprises the following steps: constructing a while-drilling electromagnetic wave advanced detection model, quantifying the influence of different measurement parameters on advanced detection signals, then analyzing the response characteristics of the advanced detection signals, extracting key sensitivity factors, and defining a single-parameter sensitivity function and a multi-parameter coupling sensitivity function; the sensitivity of advanced detection signals is qualitatively and quantitatively analyzed from the four angles of the distance to the interface, the formation resistivity, the interlayer and the stratigraphic dip angle, so that the while-drilling electromagnetic wave advanced detection range is optimized, and the adaptability in the well logging process is enhanced. And meanwhile, the advanced detection second-order sensitivity is approximately solved by adopting a central difference formula, influence factors suffered by advanced detection signals are analyzed from a numerical angle, the interaction of multi-parameter coupling is analyzed, and a scientific basis is provided for electromagnetic wave logging while drilling accurate inversion and instrument design.

The invention belongs to the technical field of lake remote sensing monitoring, discloses a lake water level and water reserve dynamic monitoring method based on satellite-borne active and passive remote sensing information fusion, and effectively solves the problem that lake information in remote areas is difficult to efficiently and accurately obtain. Comprising the following steps: S1, preprocessing laser data; s2, preprocessing the multispectral data; s3, taking the ICESat-2 data as a core, combining with a multispectral image covering a corresponding region, and constructing a lake bottom DEM inversion data set based on neighborhood features; s4, constructing and training an elevation inversion convolutional neural network model; s5, predicting and generating a lake bottom DEM by using the trained elevation inversion convolutional neural network model; and S6, calculating the absolute water volume of the lake according to the DEM at the bottom of the lake, and carrying out lake water level-water reserve monitoring. According to the invention, long-time-sequence hydrological observation of remote region lakes can be effectively realized with low cost.

The invention relates to the technical field of dam leakage detection, in particular to a high-precision three-dimensional dam leakage detection method and system, and the method comprises the steps: laying a first measurement line and a second measurement line at the top of a dam, laying a third measurement line at an upstream slope of the dam, and laying a fourth measurement line at a downstream slope of the dam; the first measuring line, the second measuring line, the third measuring line and the fourth measuring line are respectively arranged in parallel; the method comprises the following steps: obtaining dipole-dipole data, tripolar data and gradient data respectively tested by a first test line, a second test line, a third test line and a fourth test line; according to the structural data, the dipole-dipole data, the three-pole data and the gradient data of the dam, constructing a joint resistivity inversion model of the dam; and positioning a leakage risk area of the dam according to the structural data of the dam and the combined resistivity inversion model. According to the invention, an accurate leakage detection result of the dam body is formed, so that leakage fault pre-diagnosis of the dam is realized.

The invention mainly relates to the related technical field of earth and rockfill dam leakage detection, in particular to an earth and rockfill dam leakage detection method based on combination of a transient electromagnetic method and a single-hole dilution method. A leakage hidden danger area is rapidly scanned and positioned through a transient electromagnetic method, a single-hole dilution method is guided to conduct drilling in a key area, and invalid drilling is reduced; on the basis of a traditional dilution curve model, a drilling radius correction factor and a non-Darcy effect correction term are introduced, and the output precision of a vertical seepage profile is remarkably improved; a quantitative mapping model of the resistivity inversion image and the seepage velocity is established, and quantitative conversion from physical detection data to hydraulic parameters is achieved; leakage channel space distribution is automatically extracted based on the image recognition technology, and rapid calculation of the total dam leakage amount is achieved.

The invention belongs to the technical field of shale oil development and research, and discloses a shale oil mobility evaluation method based on a two-dimensional nuclear magnetic resonance experiment, which comprises the following steps: dividing an oil-containing shale sample harvested by a closed coring well into three parts which are respectively marked as a sample 1, a sample 2 and a sample 3; carrying out a TOC determination experiment on the sample 1 to obtain the TOC content of the sample; carrying out a step-by-step pyrolysis experiment on the sample 2 to obtain the contents of the sample S1-1 and the sample S2-2; calculating to obtain a shale oil mobility evaluation factor which is marked as FMO; carrying out a two-dimensional nuclear magnetic resonance experiment on the sample 3 before and after centrifugation to obtain the movable oil content of the sample before and after centrifugation, calculating to obtain the percentage of two-nuclear magnetic resonance movable oil, and recording the percentage as MO2D-NMR; and shale oil mobility evaluation is realized through analysis of the relationship between MO2D-NMR and FMO. According to the method provided by the invention, nondestructive testing of the sample can be realized in the two-dimensional nuclear magnetic resonance experiment process, the loss of light hydrocarbon can be reduced to the greatest extent, and the mobility evaluation precision of shale oil is effectively improved.

The utility model discloses a dragging-type multichannel direct current resistivity acquisition system. The dragging-type multichannel direct current resistivity acquisition system comprises a mobile platform and a plurality of dragging-type electrodes connected with the mobile platform, the dragging type electrodes comprise two power supply electrodes and at least one group of exploration electrodes, the exploration electrodes and the power supply electrodes are arranged in a dipole-dipole device, all the dragging type electrodes are in dragging connection with the mobile platform according to a fixed arrangement interval, and all the dragging type electrodes are driven by the mobile platform to integrally move and drag on the exploration ground; all the dragging type electrodes are electrically connected with a multi-channel direct-current resistivity acquisition host arranged on the mobile platform through a multi-channel large cable; and the active water supply device is used for improving the electric conductivity between the dragging type electrode and the exploration ground. According to the utility model, the design of the active water supply device and the dragging type electrode is adopted, so that non-driven type electrode power supply and potential measurement on flat grounds such as land dams and roads are realized, and the problem of low data acquisition efficiency of a traditional high-density resistivity method is effectively improved.

A 3D inversion method of DC method using seismic data constraints is disclosed, comprising processing of seismic data and inversion processing of resistivity data; by utilizing seismic wave interval velocity information to constrain the high-density electrical inversion, which can play a complementary role to a certain extent, it is beneficial to supplement the resolution of resistivity inversion with 3D seismic image information, reflect a boundary of subsurface electrical anomalous body, and further characterizes the boundary characteristics of anomalous body through comprehensive geological-geophysical analysis. Seismic data constraints are applied to 3D resistivity inversion, performing numerical simulation and inversion of electrical data under undulating terrain using the finite volume method and Gauss-Newton inversion method. Furthermore, the seismic anisotropic velocity tensor constraint is introduced for inversion to mitigate the non-uniqueness inherent in single-method inversion, yielding a more accurate 3D subsurface electrical structure and improving the resolution of longitudinal boundaries.

This invention proposes a method for detecting unexploded ordnance using multi-source data fusion based on deep learning. This method primarily addresses the problems of low accuracy and excessive false alarms and missed alarms in existing unexploded ordnance detection technologies. The method comprises: a data processing module processes received magnetic detection data and image data and transmits them to a deep learning model, which then identifies unexploded ordnance; a data storage module records the input and output of the deep learning model; and a display module displays the acquired magnetic field, image, and location of the unexploded ordnance. This invention utilizes both the magnetic detection module and a camera to acquire information, and obtains unexploded ordnance detection results based on multi-source data fusion and deep learning. This effectively avoids the shortcomings of existing detection methods using a single magnetic detection module, resulting in more comprehensive and diverse information, reducing false alarms and missed alarms, further ensuring personal safety, and reducing resource consumption.

The invention provides a high-frequency electromagnetic excitation cable detection image reconstruction method and system, and belongs to the technical field of underground facility multi-field coupling detection and imaging, and the method comprises the steps: applying high-frequency electromagnetic excitation to an underground medium; receiving an electromagnetic signal transmitted through an underground medium, synchronously collecting a sound signal generated by electromagnetic excitation, and preprocessing the electromagnetic signal and the sound signal; performing structure imaging on the electromagnetic signal by adopting a frequency wave number migration imaging algorithm to obtain medium structure distribution; performing electrical parameter imaging on the electromagnetic signal by adopting a Born approximate inverse scattering imaging algorithm to obtain medium electromagnetic characteristic parameter distribution; sound source distribution reconstruction is carried out on the sound signals through a time reversal algorithm, and medium sound source response characteristic distribution is obtained; and inputting imaging results of the three algorithms into a pre-constructed deep reinforcement learning model for dynamic fusion to generate an underground medium comprehensive parameter reconstruction image.

The invention provides a multi-modal information acquisition and roof global attitude monitoring method and system, and relates to the technical field of mining safety monitoring and roadway surrounding rock control. The method comprises the following steps of: acquiring acoustic, optical, electrical and mine pressure multi-source data by arranging a fan-shaped drill hole, an annular electrode array and various mine pressure monitoring devices; a wave velocity profile, a fracture parameter set and a resistivity equivalent cloud picture are generated through wavelet noise reduction, fracture recognition and resistivity inversion, space-time registration with a mine pressure data sequence is carried out, and roof partition probability distribution is output through a space-time feature pyramid network. Furthermore, improved XGBoost is adopted for joint inversion of the thickness of the loose circle, the Poisson's ratio and the elastic modulus, probability distribution serves as a space weight, the separation amount and anchoring stress data are fused, and a roof displacement field, a curvature field and a rotation field are reconstructed. And finally, generating an early warning based on a preset safety threshold value, outputting a posture partition map and a monitoring report, and realizing top plate posture transparent deduction and support coordinated regulation and control.

The invention discloses a surface water storage amount monitoring method and system based on space-air-ground water multi-source collaboration, and relates to the technical field of water resource investigation, and the method comprises the steps: obtaining multi-source collaboration collection data of a target water body, and generating a multi-source data set of a unified space-time reference; carrying out automatic extraction and change detection on a surface water area range by using a water body index method and deep learning to obtain a water area boundary; taking a water area boundary as a spatial constraint, extracting ashore terrain and underwater terrain data, and inputting the ashore terrain and underwater terrain data into a deep learning fusion model based on an encoder-decoder structure to generate a water-land integrated digital elevation model; and according to the water body types, based on the model, respectively adopting corresponding deep learning models to carry out storage volume monitoring, and calculating the water storage volumes and dynamic changes of different water body types. Efficient fusion and intelligent processing of multi-source data are achieved, the precision and efficiency of surface water storage capacity monitoring are remarkably improved, and the method is suitable for refined dynamic monitoring of various water bodies such as rivers, reservoirs and ponds.

A shore-based automatic measurement and refined calculation method for river flow includes: performing adaptive segmented terrain fitting based on measured underwater and onshore topographic data of a river section to obtain a river section topographic polynomial group; real-time monitoring of the current river water level, determining the location of the river's land-water boundary and water depth in combination with the river section topographic polynomial group, and measuring the river surface velocity at fixed distances using a rotating velocity-measuring radar with an automated control device; converting the corresponding average velocity using the relationship between the open channel surface velocity and the cross-sectional average velocity, performing adaptive segmented fitting to obtain a river section average velocity polynomial group; dividing the river surface into several sections using vertical lines, and calculating the river depth at the vertical lines and the area between adjacent vertical lines in each section; calculating the average velocity of the centerline of each vertical line using a river section average velocity formula group, and calculating the river section flow by multiplying and summing the areas of each section with the average velocity. This invention has important practical value for real-time, online shore-based river flow measurement under complex water conditions.

The invention discloses a three-dimensional transient electromagnetic detection method for tunnel advanced geological forecast. The transient electromagnetic exploration method has the advantages of low construction cost, high safety coefficient, reliable detection result and the like. The method comprises the following steps: installing a plurality of loop sources in an area nearby a tunnel face in a set mode, and obtaining stratum information data of the area nearby the tunnel face; and analyzing the data by adopting a three-dimensional transient electromagnetic forward and reverse modeling method to obtain related information of the unfavorable geologic body in front of the tunnel face. According to the method, the efficiency and the accuracy of transient electromagnetic tunnel advanced prediction are improved.

The invention discloses a method for suppressing magnetotelluric mixed noise in a shallow water area. The method comprises the following steps: reading a noisy ocean MT time sequence; setting phase space reconstruction parameters; constructing a phase-space vector to obtain a noisy data matrix; noise priori information is obtained through noise pre-estimation; constructing an original noisy data matrix after noise whitening; performing singular value decomposition to obtain a feature vector and a feature value matrix of a data covariance matrix after noise whitening; selecting a low-order principal component after noise adjustment principal component transformation to reconstruct a denoised data matrix; recovering the denoised data matrix into a time sequence; carrying out Fourier transform to obtain an ocean MT magnetic field component amplitude spectrum, and combining to obtain an ocean MT four-component amplitude spectrum; detecting the frequency point of the pulse in the four-component amplitude spectrum; and setting all amplitudes corresponding to pulse frequency points in the four-component amplitude spectrum to be 0, and performing inverse Fourier transform to obtain a processed four-component time sequence. According to the invention, the ocean magnetotelluric signals can be better processed, and the data quality is improved.

The invention discloses a dam leakage channel detection and danger elimination quality evaluation method based on transient electromagnetism, and relates to the technical field of earth and rockfill dam danger elimination and reinforcement. The method comprises the following steps: A, leakage channel detection: A1, data acquisition: performing data acquisition on a dam by adopting pull-type small loop transient electromagnetic equipment to obtain original electromagnetic signal data; a2, forward modeling: performing forward modeling on the acquired data, and calculating a theoretical attenuation curve and apparent resistivity distribution by considering special boundary conditions of the dam; and A3, carrying out inversion calculation. According to the method, leakage signals can be accurately captured based on the high sensitivity of a transient electromagnetic method to a low-resistance body, the used pull-type small-loop transient electromagnetic equipment is convenient to operate, a dam can be comprehensively covered by combining reasonable measurement point arrangement, forward modeling and inversion calculation can comprehensively consider various factors, the position and depth of a leakage area are determined, and the detection accuracy is improved. Compared with a traditional method, the method has obvious advantages in detection depth and accuracy.

The present invention discloses a high-precision foundation pit retaining wall leakage potential measurement system and method. An electrode matrix, an electric field establishment module, a reference electrode, a multi-channel electrical signal parallel measurement device and a data processing terminal are respectively arranged in the foundation pit. The outer side of the non-polarized electrode of the electrode matrix is ​​filled with bentonite slurry. The bentonite slurry can infiltrate the contact part between the non-polarized electrode and the foundation pit soil to change the properties of the soil, thereby controlling the contact potential between the electrode matrix and the soil and reducing the measurement error. At the same time, the non-polarized electrode and the reference electrode of the electrode matrix are respectively provided with an ion concentration meter and a temperature sensor. The data processing terminal can correct the potential difference according to the electrode temperature and ion concentration of the non-polarized electrode and the reference electrode temperature and reference ion concentration of the reference electrode to calibrate the electrode extreme difference caused by temperature and ion concentration, thereby obtaining the true potential difference of the foundation pit, thereby effectively improving the measurement accuracy and improving the accuracy and reliability of the foundation pit leakage detection results.

The present invention discloses a CT inversion method with integrated fusion of dual-source shock waves. The method adopts the mutual fusion of active source and passive source. A small number of artificial seismic sources are deployed to obtain the active source data. Then, the passive source data collected by the microseismic monitoring system is obtained. The two are fused for joint inversion, thereby obtaining an inversion result. Due to the combination of the passive source data, only a small number of artificial seismic sources need to be deployed during inversion, so the scope of downtime required for inversion is relatively small. At the same time, due to the addition of the active seismic source, the required passive source data is greatly reduced. Under the premise of ensuring the inversion accuracy, the inversion cycle of the passive source CT can be shortened at the same time, thereby eliminating the need to wait for a long time for inversion each time. Therefore, under the premise of ensuring the inversion accuracy, the present invention can reduce the number of artificial seismic sources deployed and the scope of downtime required for inversion, and can greatly shorten the inversion cycle required for each inversion of the passive source, thereby facilitating long-term monitoring of dangerous areas.

An experimental apparatus for planar interfacial shear of a hydrate-bearing sediment includes a planar interfacial shear box, a torsional and axial loading device, a nitrogen gas source, a methane gas source, a pressure-volume controller, a water bath device, a back pressure valve, a gas-water separator, a gas flowmeter, and a data acquisition system. The planar interfacial shear box includes an upper pressing plate, an upper adapter, an upper thermal insulation plate, a ram adapter, a lower ram, an upper base, a lower base, a lower thermal insulation plate, a lower adapter, and a lower pressing plate that are coaxially connected in sequence from top to bottom. The experimental apparatus offers a simple specimen preparation method, enabling in-situ formation of a hydrate-bearing sediment in the shear box. The experimental apparatus ensures uniform stress distribution during shearing, and can acquire the interfacial shear mechanical characteristic between the hydrate-bearing sediment and a structure.

A release device for a polar profile observation system includes a support frame, a release base, a control electronic cabin, a release mechanism, and a floating body. The support frame performs an up and down profile movement along the under-ice guide cable, and is bonded with the profile observation system before the profile observation system is released. The release base is configured to provide an installation platform for the release mechanism. The control electronic cabin is configured to receive a release signal sent by the profile observation system and enable the release mechanism. The release mechanism is configured to perform a release task, so that the profile observation system can be detached from the support frame. The floating body provides buoyancy to balance the gravity of the release device.