715 results about "Assise" patented technology

The embodiment of the invention discloses a mineral resource exploration data analysis method and device based on three-dimensional space modeling. The method comprises the steps that back-flushing pushing-covering structure feature information is extracted through structure interface occurrence measurement, lithology combination analysis and structure movement trace recognition and converted into geologic structure feature parameters; stratigraphic age data and lithology distribution information are integrated, and a three-dimensional stratigraphic model is constructed with a stratigraphic superposition relation as a constraint; geophysical data are imported to extract geophysical response characteristics of stratums with different depths, and lithologic boundary correction is combined to obtain deep fracture characteristic parameters; sedimentary system division is carried out on lithofacies paleogeographic information, and deep fracture characteristic parameters are fused to establish a fracture system three-dimensional model; the multi-feature association relationship is identified, the ore body prediction model is established, the spatial data is input to obtain the three-dimensional visual prediction result of the hidden ore body spatial distribution, and the exploration efficiency and accuracy in the deep phosphorite exploration process are improved.

The invention relates to the technical field of geotechnical engineering disaster monitoring and early warning, and discloses a stratum rainfall seepage deformation coupling numerical simulation method and system and a storage medium, and the method comprises the steps: building a three-dimensional geologic model reflecting soft and hard rock interbed characteristics; converting the on-site rainfall data into hydraulic boundary conditions in real time; calculating a rock mass shear expansion volume change rate, determining a chemical damage acceleration factor, and updating a total damage variable; reconstructing a permeation tensor representing the dominant flow channel according to the space gradient of the damage variable; solving a fluid-solid coupling equation based on the permeability tensor, obtaining pore water pressure and calculating a displacement field; building a likelihood function by using field monitoring data to perform inversion correction on model parameters; and evaluating the stability based on the corrected calculation result and outputting an early warning signal. By constructing a mechanical coupling mechanism and a dominant flow channel model, precise simulation of a landslide evolution process in a complex geological environment is realized.

The invention belongs to the technical field of geological engineering monitoring and multi-physics field intelligent sensing, and discloses a separation grouting slurry migration monitoring method and system, and the method comprises the steps: constructing an acoustics-optics-electricity-electromagnetism multi-physics field coupling monitoring system; a grouting hole and a monitoring drilling hole array are arranged in a target stratum, a distributed optical fiber sensor, a drilling hole ultrasonic imager, a resistivity measuring device and a transient electromagnetic detection device are installed, and a three-dimensional monitoring network is formed; synchronously acquiring sound field, light field, electric field and magnetic field data; four-field monitoring data and overlying strata multi-parameter observation data are fused, a coal seam mining three-dimensional overlying strata separation model is constructed, and a slurry diffusion three-dimensional visualization model is generated through numerical simulation; and based on the four-field monitoring response difference of the separation space before and after grouting, in combination with a monitoring frequency domain correction model of multiple indexes of grout diffusion, the diffusion range, compactness and filling effect of the grouting grout are evaluated, and abnormal early warning is triggered.

The invention discloses a three-dimensional geological model dynamic updating system and method based on multi-modal data fusion, and belongs to the technical field of geological engineering and information. According to the method, multi-source data of geological radar, earthquake, drilling, remote sensing and the like are integrated, and after unified formatting and quality optimization preprocessing, geological features of a stratum interface, a fault zone and the like are automatically extracted by using a deep learning network; multi-source feature data fusion is realized through space-time registration and attention; constructing a three-dimensional geologic model by adopting a TIN and Octree mixed structure based on a fusion result; dynamic updating of the model is realized through incremental detection and a local reconstruction mechanism, and the boundary of the model is optimized by adopting a radial basis function interpolation. According to the method, the problems of single data, updating lag and the like of a traditional method are solved, the modeling precision and efficiency are remarkably improved, and reliable support is provided for geological engineering decision making.

The invention provides a method for preferably selecting a shale gas structure storage favorable area not based on formation pressure. The method comprises the steps that a target research area is selected, and a core exploration target layer series is determined; on the basis of a target stratum shale gas preservation mechanism, core parameters independent of stratum pressure data are screened, and a comprehensive evaluation index system containing target stratum self-sealing performance, regional cover stratum conditions and structural transformation action parameters is constructed; spatial distribution analysis is carried out on each parameter, grading is carried out according to geological laws and adjacent region experience, and weight coefficients are distributed according to the influence degree of the parameters on storage conditions; obtaining a comprehensive score of the structure storage condition of each evaluation unit through grade assignment and weighted stacking calculation; and delineating a shale gas structure storage favorable area according to the comprehensive score. The method is suitable for low-exploration-degree areas with complex structures, sparse drilling wells or lack of formation pressure data, and has the advantages of objective evaluation, high operability and high practical value.

The invention discloses a method and system for evaluating rock drillability in real time, and the method comprises the steps: determining a well section with logging data and element logging data at the same time in a target area, and obtaining a rock drillability grade value through the logging data; selecting element types conforming to geological characteristics of a current target area from the element logging data to form optimal element combination data of a corresponding stratum matched with the optimal element types, and based on the optimal element combination data, performing data fitting on a preset multiple regression model in combination with rock drillability levels to obtain a drillability level calculation model; the current drillability grade value calculation model is corrected by utilizing a rock core taken from a target stratum to obtain an experimental rock drillability grade value; and optimal element combination data of a target stratum is obtained in real time in the drilling process, and a dynamic rock drillability grade value is obtained by using the corrected drillability grade value calculation model, so that a rock drillability real-time evaluation result is obtained. According to the invention, real-time evaluation of the drillability of the rock is realized.

The invention discloses a stratigraphic water content layering inversion method based on a shallow seismic full waveform, and relates to the technical field of geophysical exploration data processing, and the method comprises the following steps: 1, under the same survey line condition, synchronously obtaining a seismic wave full waveform, complex impedance and an induced polarization frequency spectrum; 2, constructing a layered initial model containing a layer boundary line and an in-layer water content initial value; based on the layered initial model, executing dual-domain quantile alignment interface keeping iteration until convergence, and obtaining a final layer boundary line and an in-layer water content field; the double-domain quantile alignment interface maintaining iteration comprises the following steps: updating an in-layer moisture content field and a layer boundary line according to a seismic wave full waveform; and performing total variation regularization processing on the updated in-layer water content field to maintain the transition characteristic of the layer boundary line. According to the method, an efficient and reliable solution with actual guidance value is provided for mineral resource exploration, geological structure detection, groundwater survey and engineering geology evaluation.

The invention discloses a tunnel high-pressure gushing water comprehensive treatment method integrating probing, guiding, blocking, discharging and fixing, and belongs to the technical field of tunnel construction. The method comprises the following steps: exploring and dividing geological subsections; drainage: drilling a water diversion hole in the concentrated water gushing channel, and pre-burying a multi-stage drainage pipe for graded pressure reduction; blocking is conducted, specifically, the channel is closed through a layered pressure backfill grouting technology; a permanent drainage system is laid, and a deep drainage pipe is connected; reinforcement is carried out, and radial consolidation grouting and groove jumping type inverted arch dismounting and replacing are carried out; and the whole process is monitored in real time, and construction is dynamically optimized. According to the method, exploration, drainage, plugging, drainage, reinforcement and dynamic regulation and control are organically combined, the problems that water plugging, pressure reduction and cooperation are difficult in high-pressure water-rich karst stratum tunnel gushing water treatment are solved, and the method has the advantages of being prominent in systematicness, thorough in treatment, remarkable in pertinence, safe, controllable, novel in process, reliable in quality, dynamic in regulation and control, high in adaptability, obvious in comprehensive benefit and the like.

The invention discloses a water-rich stratum underground cavity targeted treatment method, and relates to the field of underground cavity targeted treatment, and the method comprises the steps: constructing an underground cavity recognition model through improved YOLOv8, and recognizing an underground cavity in a water-rich stratum; a three-dimensional geologic model is constructed, a drilling track pointing to the cavity from the earth surface or the existing structure is designed, targeted drilling is constructed, and a treatment channel is formed; with the cavity as the center, curtain grouting holes are formed, rapid-hardening type double-liquid grout is injected, and a three-dimensional waterproof curtain is formed; underground water in the three-dimensional waterproof curtain is guided and drained through part of targeted drill holes, and desilting is conducted; and self-compacting filling materials are pumped into the cavity through the other targeted drill holes for main body backfilling, and cavity cracks are reinforced by adopting a sleeve valve pipe grouting technology. And the filling and reinforcing effect is verified, and a monitoring system is arranged to monitor the stratum stability. Through a technical path of combining artificial intelligence identification, three-dimensional accurate positioning and active three-dimensional water stop, safe and efficient targeted treatment of the underground cavity of the water-rich stratum is realized.

The invention discloses a multi-source unmixing analysis method and system for a geological source-sink system based on a dzmix inverse Monte Carlo model, relates to the technical field of tectonic sedimentology and data modeling crossing, and collects and arranges zircon U-Pb chronological data of a target horizon mixed sample in a research area and zircon U-Pb chronological data of a basin peripheral material source area. Establishing a multi-source area big data chronology database of the research area; and establishing standard stratum characteristics in combination with regional sedimentary characteristics and petrology characteristics. According to the method, the contribution proportion of the multi-source substances in the geological source-sink system is quantitatively recovered, the defects that a traditional source-sink analysis method depends on priori end member selection and is easily influenced by personal errors are overcome, the inverse Monte Carlo model is used for carrying out iterative simulation for multiple times, the simulation effect is gradually optimized, the accuracy and reliability of a de-mixing result are ensured, and the method is suitable for large-scale popularization and application. And a more scientific and accurate technical means is provided for geological research and resource exploration.

The invention relates to a tunneling action generation method and system based on time-space depth fusion multi-task prediction in the technical field of shield engineering data processing, and the method and system integrate local and global time sequence information through a dynamic depth fusion network, achieve the fusion of multiple time-space scales, improve the perception capability of complex working conditions, and improve the efficiency of shield engineering data processing. Meanwhile, future state prediction and control candidates are output, action fusion is carried out on a strategy layer, performance loss caused by prediction-control splitting is reduced, prediction-control integration is achieved, an uncertainty head is introduced, explicit constraint is carried out on a loss function and strategy fusion layer, the risk under stratum sudden change or sensing noise is effectively restrained, and the prediction-control performance is improved. Uncertainty constraint security is realized; on the basis of experience playback, weight self-adaption and noise removal, online self-adaption updating requirements of different stratums and tunneling stages are met, online self-adaption updating can be achieved, and the action generation capacity of tunneling stability control under the complex stratums and noise conditions is remarkably improved.

The invention discloses a coal mine porosity calculation method for improving sequential Gaussian simulation under multi-source data fusion. On the basis of logging data preprocessing, logging curves of natural gamma, density, three-lateral resistivity and the like are synthesized, the high-organic-matter stratum is accurately discriminated, a volume physical model is constructed to explain the porosity of the rock stratum, a linear regression model is constructed to explain the porosity of the high-organic-matter stratum, and the porosity of the high-organic-matter stratum is accurately discriminated. After the two results are spliced and combined, abnormal sudden change points on a curve are eliminated through a curve smoothing algorithm, then the porosity curve, rock core data and the water temperature experiment result are normalized and mapped into a geological grid model, variation function analysis and parameter selection work are carried out, improved sequential Gaussian simulation and post-processing are carried out on the basis, and the geological grid model is obtained. And the reliability of the porosity attribute model is improved.

The invention discloses a water-rich broken surrounding rock directional grouting method based on an external magnetic field. The method comprises the following steps that 1, geological exploration is conducted on a target water-rich broken surrounding rock area; step 2, mixing the base material, the nano ferroferric oxide magnetic particles, the rheology regulating agent, the dispersing agent and the coagulation accelerator according to a mass ratio; 3, injecting alternating current with the frequency of 50-500Hz into the electromagnetic coil to generate a rotating magnetic field with the intensity of 3-10kA / m, and driving the slurry to directionally migrate along the main fracture area; 4, the grouting pressure of the pre-buried pressure sensor is monitored in real time, when the pressure change rate delta P / delta t is larger than or equal to 0.1 MPa / min, the electromagnetic coil injection frequency is switched to alternating current of 1 kHz to 10 kHz, so that the intensity of a magnetic field is improved to 8 kA / m to 15 kA / m, and grouting on the micro-crack area is enhanced; and 5, when the pressure change rate delta P / delta t is smaller than + / -0.1 MPa / min and lasts for 5-10 min, grouting operation is ended. The method aims at solving the problems that in grouting reinforcement of the water-rich fractured stratum, slurry is lost along with water flow, micro-cracks are difficult to fill, and reinforcement bodies are distributed unevenly.

The invention discloses a fluid identification method based on earthquake-electromagnetic combination, and aims to improve the identification precision of underground fluid, and the method comprises the steps: firstly, constructing and calibrating a forward model based on well data and a rock core experiment, and guaranteeing the theoretical support for the physical property of a stratum; afterwards, AVO inversion is carried out to obtain stratum elastic parameters, and meanwhile, electromagnetic inversion is utilized to obtain spatial distribution of resistivity. Afterwards, the elastic parameters and the resistivity obtained through inversion are substituted into a rock physical model, a joint objective function is constructed, and the difference between observation data and model prediction is quantified. And finally, through combination of global and local optimization algorithms, successive approximation to an optimal solution and inversion, lithology, porosity and fluid property parameters are obtained, fluid saturation is further deduced, and high-precision identification of the underground fluid is realized. The method can be widely applied to the geological engineering fields of oil-gas exploration, underground water resource evaluation and the like, and provides effective theoretical and practical support for accurate estimation of fluid saturation.

A method for predicting a multi-physics field coupling process of natural hydrogen flow-heat transfer-rock thermal strain in underground pores belongs to the field of natural hydrogen resource exploration, and is characterized in that a multi-physics field coupling model for describing natural hydrogen flow-heat transfer-rock thermal strain in formation pores is established based on phase field variables; the method comprises the following steps: establishing a porous medium geometric model according to a rock underground pore structure, performing grid division on the porous medium geometric model to obtain a plurality of grid units for reflecting different spatial distribution positions of natural hydrogen in the rock underground pore structure, and setting initial conditions and boundary conditions of the porous medium geometric model; according to the multi-physics field coupling model, solving the space-time evolution characteristics of the hydrogen volume fraction, the water volume fraction, the fluid temperature, the rock skeleton matrix temperature and the rock skeleton matrix thermal strain value of each grid unit of the porous medium geometric model to obtain the distribution in time and space; according to the method, the reservoir forming mechanism and the reservoir forming stability of the natural hydrogen are evaluated more accurately and systematically.

The invention relates to the technical field of tunnel engineering safety monitoring, in particular to a karst rock stratum tunnel health diagnosis method, device and equipment and a storage medium. Comprising the steps that whether catastrophe nodes matched with tunnel multi-source sensing data obtained in real time exist or not is judged by searching a karst-lining-surrounding rock coupling knowledge graph; if yes, diagnosis is carried out according to a node embedded karst water-rock coupling mechanism; and if not, calling a preset karst catastrophe fusion model to carry out online learning and dynamic diagnosis, and adding catastrophe nodes in the knowledge graph. According to the fusion model, characteristics such as karst water chemical ion concentration change rate, surrounding rock effective porosity mutation gradient and lining back cavity volume growth rate are extracted, karst water inrush and mud inrush risk probability distribution is output based on multiple neural network model parallel coupling architectures, and high-risk perception data are automatically screened out or marked according to a threshold value. The karst water inrush and mud inrush risk of the karst stratum tunnel can be accurately identified, and real-time early warning can be carried out.

The invention discloses an argillaceous siltstone geological anchorage deep foundation pit construction method, which relates to the technical field of building construction, and comprises the following steps: collecting stratum structure data, hydrogeological data and surrounding environment data of an anchorage area; determining an integral foundation pit form; a supporting scheme is designed, and a supporting structure type, a construction process and safety prevention and control measures are determined; verifying the stability of the supporting structure; construction resource investment, construction period and risk assessment data of different support schemes are collected, cost-benefit comparative analysis is carried out, and an optimal construction scheme is screened; the construction state is fed back in real time; and the anti-collapse, anti-seepage and anti-disturbance construction requirements under the muddy siltstone geological scene are met. According to the deep foundation pit construction method, a deep foundation pit construction full-process solution matched with the geological scene is formed by adopting double-row secant pile supporting, a targeted cast-in-situ bored pile and anchor cable construction technology and a near-high-rise special monitoring and inner supporting optimization technology.

The invention provides a karst collapse risk assessment method and device, electronic equipment and a storage medium. The method provided by the invention comprises the following steps: acquiring geological index data; according to the size of the line karst rate, determining the regional type of karst division, and forming a three-dimensional geologic model according to the regional type of karst, the thickness of a covering layer and the elevation of a stratum interface; judging whether the current area is a high deformation gradient area or not, judging whether the current area is a fracture structure control area or not, and judging whether the current area is a water level fluctuation sensitive area or not; forming a fuzzy fault tree structure, and performing Monte Carlo simulation on a grid to obtain a grid-level collapse risk probability; and determining a dynamic risk comprehensive index according to the grid-level collapse risk probability, the currently monitored covering layer pore water pressure and the line-of-sight deformation rate, and determining a risk level according to the dynamic risk comprehensive index. According to the method, real-time monitoring and dynamic analysis of surface deformation can be realized, and the accuracy of risk assessment can be improved.

The invention discloses a mineral sample acquisition optimization method based on stratum change identification, and particularly relates to the technical field of mineral exploration sampling, comprising the following steps: acquiring lithologic characteristics, fault distribution, underground stress information and historical sampling data, fusing to form spatial reference data and generating a stratum change level distribution map, then constructing a sample collection candidate area map; generating a sampling path group and adjusting path layout according to the candidate area map, matching a sampling mode for each path, recording multiple types of data in real time in the sampling process and comparing the data with spatial reference data, and dynamically adjusting the sampling path or mode according to a comparison result; spatial reference data are generated through multi-source geological information fusion, and high-precision stratum change recognition is achieved; the sampling path layout is optimized in combination with disturbance distribution and operation constraint, so that the operation safety and the coverage integrity are improved; in the sampling process, response data are compared in real time, a sampling strategy is dynamically adjusted, and the geological consistency and reliability of a sampling result are ensured.

The invention provides an oil-gas exploration data rapid integration method and system based on bidirectional cascading, and the method comprises the steps: S1, obtaining an original exploration data flow, and carrying out the normalization processing, and forming a standardized initial data body; s2, transversely distributed seismic reflection interface feature points and longitudinally distributed logging lithology turning points are extracted, and a bidirectional cascade topology framework is constructed; s3, waveform similarity propagation of seismic attributes is executed in the transverse direction, rock physical parameter recursion of logging attributes is executed in the longitudinal direction, and an intermediate integrated data set is generated; s4, acquiring gravity and magnetic exploration data, generating a geologic structure background field, performing space registration and weight superposition, and correcting stratum boundary drift; and S5, reversely backtracking and updating the point-to-point constraint relationship in the bidirectional cascade topology skeleton, and generating high-precision oil-gas exploration integrated data after closed-loop verification. The method has the advantages that the precision of integrated data can be effectively improved, and therefore the actual requirement of high-precision oil-gas exploration is met.

The invention belongs to the field of rock burst prevention and control coal mining methods, and particularly relates to a roof-cutting pressure-relief coal mining method under the stratum condition of a deeply-buried sandstone group. Comprising the following steps: respectively constructing detection drill holes inside and outside a first mining working face, and checking an interface in a stratum in a hydraulic pressure test mode so as to accurately determine a key layer. On the basis, on the basis of gob-side entry retaining, roof cutting drill holes are creatively constructed in a roof cutting special roadway and a transportation roadway correspondingly, so that roof cutting work is conducted on key layers in a bent sinking zone rock stratum, a water flowing fissure zone and a caving zone rock stratum in a roof; therefore, the suspended roof length of a part of the water flowing fractured zone rock stratum and the caving zone rock stratum is reduced but still reserved, the supporting force needing to be borne by the gob-side entry retaining is reduced, and a sheltering space is provided for the gob-side entry retaining. The bent sinking zone rock stratum is subjected to vertical drilling top cutting, and a top cutting transition area is reserved, so that superposition of fracture of the bent sinking zone rock stratum and fracture of the water flowing fissure zone rock stratum can be reduced, and the stratum pressure needing to be borne by gob-side entry retaining is reduced to the maximum extent.

The invention discloses a drilling quality and stratum characteristic inversion method and device based on dynamics and rock debris morphology and a medium, and relates to the field of artificial intelligence, and the method comprises the steps: synchronously collecting a drilling dynamics signal and a rock debris image sequence in a drilling process; extracting a drilling dynamics high-frequency characteristic spectrum based on the drilling dynamics signal; extracting a rock debris morphological parameter sequence based on the rock debris image sequence; inputting the drilling dynamics high-frequency characteristic spectrum and the rock debris morphological parameter sequence which are aligned in time into a pre-trained multi-task deep learning model; and a hole wall quality evaluation result and a stratum characteristic identification result synchronously generated by the multi-task deep learning model are obtained, the hole wall quality evaluation result is used for representing the hole wall state, and the stratum characteristic identification result is used for representing the stratum attribute. According to the method, the drilling quality and the stratum characteristics can be inversed in real time based on deep fusion and synchronization of the multi-source while-drilling information.

The invention relates to the technical field of stratum detection and track control in front of a tunnel face of an expressway tunnel, and provides an unfavorable geological exploration method based on inclined drilling. The method aims at solving the problems that in the prior art, a static geologic model is disjointed with an actual stratum, passive response is made to stratum changes, a stratum subdivision adjustment plan is lacked, and a multi-drill-hole collaborative iteration mechanism does not exist. The method comprises the following steps: firstly, collecting multi-source geological data to construct a dynamic geological model capable of being iteratively updated, generating an initial trajectory and presetting a differentiated stratum adjustment plan; integrating sensing, execution and control components to complete calibration and simulation test; then drilling is conducted according to the initial track, and initial calibration, predictive adjustment and real-time response closed-loop control are sequentially executed; and finally, the effect is verified through imaging and rock core analysis, the model is optimized through drilling data inversion, and multi-drill-hole cooperative detection precision iteration is achieved. Stratum detection accuracy and trajectory control precision are improved, and support is provided for safe and efficient development of tunnel construction.

The invention provides a carbon dioxide multi-layer integration injection dynamic regulation and control method and device, and relates to the field of carbon dioxide geological sequestration, and the method comprises the steps: determining the optimal layer number and layer spacing distance of multi-layer integration injection based on obtained geological parameters, and obtaining a plurality of injection layers; according to the geological parameters and the length of the gas injection well, an interlayer allowable pressure difference is calculated in combination with a seepage mechanical formula, and spatial distribution parameters of all injection layers are determined; determining an inlet angle of an injection port corresponding to each injection layer; analyzing the porosity change rate between the injection layers and the coupling influence coefficient of the stress field change; and dynamically adjusting the opening degree of the injection port of each layer by adopting a model predictive control algorithm, and determining a delayed injection strategy according to a configured formation permeability grading standard. According to the method, the injection flow uniformity and the sealing efficiency can be improved, the interlayer fluid channeling risk is reduced, and accurate dynamic regulation and control of multi-layer unified injection are achieved.

The invention relates to the technical field of rock-soil mining, in particular to a self-adaptive rock-soil sampling disturbance suppression system and method.By synchronously collecting the drilling speed and the pressure inside and outside a pipe, the basic volume replacement flow is calculated; a dynamic hydraulic impedance model is constructed, the equivalent annular gap width is identified on line through a state observation algorithm, and the annular gap leakage compensation flow is quantified according to the equivalent annular gap width; and finally, the superposed flow drives an execution mechanism to perform active fluid throughput. According to the invention, the problem of pressure unbalance caused by neglecting of dynamic gap leakage between the pipe wall and the soil sample is effectively solved; millisecond-level self-adaptive balance of pressure in a pipe is achieved, a dynamic hydraulic barrier can be constructed without mechanical sealing, extrusion or suction damage of instantaneous pressure difference to a soil sample framework is thoroughly eliminated by accurately compensating microscopic leakage, and the undisturbed degree and integrity of a rock-soil sample of a complex stratum are remarkably improved.

The invention relates to the technical field of geotechnical engineering, in particular to a sandy soil liquefaction discrimination method which comprises the following steps: collecting geological survey data, seismic parameters and soil test and in-situ test results of a target area, and determining parameters required by numerical simulation; a three-dimensional calculation model is constructed, grids are subdivided, a constitutive model is set, static balance and an initial pore pressure field are established, and the accuracy of the model is verified through mechanical balance and fluid balance; dynamic waves are processed and applied, a free field boundary, a seepage mode and mechanical damping are set, a coupling constitutive model is constructed, and monitoring points are arranged on the liquefiable stratum; determining liquefaction according to the effective stress, the pore water pressure time history curve and the excess pore pressure ratio; according to the invention, vertical and lateral deformation after liquefaction can be predicted, quantitative deformation data can be provided, errors of a standard penetration test are reduced, and the problems of small application range and strong regionality are solved; and the judgment result is more accurate through the verification of the excess pore pressure ratio, and a reliable basis is provided for the design of engineering anti-liquefaction measures.

The invention relates to the technical field of geotechnical engineering investigation, and particularly discloses a depth-adjustable sampling method for geotechnical investigation, which comprises the following steps: acquiring pore fluid pressure data in real time through a sensor group arranged at the front end of a sampler; based on the data, dynamically predicting an evolution trend of a pressure field in front of the sampler and generating a prediction result containing a pressure abnormal state and spatio-temporal information thereof; performing grading processing on the prediction result to obtain a pressure risk grade; carrying out collaborative decision making on the grade, the soil body sensitivity and the target sampling quality to generate a dynamic control strategy; and finally, the injection action of the sampler is adjusted in real time according to the strategy, the injection action comprises executing micro-amplitude withdrawing and re-injection circulation or gradual deceleration operation, and the control effect is ensured through closed-loop optimization. The method can actively inhibit the water attack and cavitation effect, and improves the quality and reliability of obtaining an undisturbed sample in a complex stratum.

The invention relates to the technical field of coal mine hydrogeology and environmental engineering, and discloses a coal mine groundwater flow-water quality coupling simulation method under mining disturbance condition, which comprises the following steps: step 1, mining disturbance area hydrogeology basic data acquisition: field investigation, drilling sampling, field test and long-term monitoring are carried out to obtain mining disturbance area hydrogeology basic data; the method comprises the following steps: acquiring landform, stratum lithology, geological structure, initial hydraulic gradient, porosity, initial permeability, initial pollutant concentration and hydrogeochemical parameters of a research area, and collecting a coal mining scheme, rock stratum movement observation data and fracture development characteristic parameters; according to the method, the dynamic hydrogeological parameter model is constructed, the water flow-water quality coupling control equation is established, numerical solution and accurate calibration are combined, and accurate simulation of the underground water flow field and the water quality migration process under the mining disturbance condition can be achieved.

The invention discloses a tunnel forming construction method suitable for a mud gravel stratum. The tunnel forming construction method comprises the steps of geological advanced forecasting and partition recognition. Differentiating the forepoling system; micro-steps and reserved core soil are excavated; performing strong preliminary bracing and rapid closing to form a ring; automatic monitoring measurement and dynamic feedback are realized; and the secondary lining is constructed in good time. Through fine geological classification, targeted support and dynamic control, a set of comprehensive construction technology aiming at the characteristics of the mud-gravel stratum is formed, and the technical problems that the mud-gravel stratum is difficult to form holes and high in risk are systematically solved. The method is successfully applied, ground surface settlement is controlled within 25 mm, no safety accident exists, and it is proved that the method has the advantages of being high in safety, good in adaptability and remarkable in comprehensive benefit.

An image spectrum technology-based geological sketching method, including: based on collected image-spectrum data information of a tunnel face, extracting mineral end members and spectrum to determine types and contents of minerals, extracting texture features and feature waveband spectrums to determine stratum lithology, extracting crack features and identifying crack fillers to obtain a crack identification result; obtaining degrees of crushing of surrounding rocks according to numbers and relative areas of cracks; analyzing weathering variation proportions of minerals according to stratum lithology and mineral analysis result for surrounding rocks, acquiring color differences between different degrees of weathering according to spectral color difference identification results, obtaining degrees of weathering of the surrounding rocks; identifying water outflow form and water outflow position of tunnel face to be detected; and obtaining a geological sketch map for the tunnel face by performing labeling and summarization by using different labeling symbols according to the results.