152 results about "Subsurface geology" patented technology

The invention provides a pre-control and monitoring method for a whole process of actual grouting engineering based on digital geological model, comprising: extracting discontinuous fracture surfaces in a geologic body structure, to build a underground geologic body structure model; build a multi-source geologic body attribute model, optimizing and solving grouting simulations of a disaster high-risk region by using multiphase flow calculation method, and controlling grouting equipment by using optimized grouting parameters to carry out an actual grouting engineering; obtaining a multi-factor diffusion range of variable coefficients by adjusting physical values of the parameters in the grouting simulation and attribute data structure model by using a control variable method, learning and capturing complex mapping relationship between different parameters by using a neural network, optimizing the grouting parameters in the actual engineering in real-time, so as to realize the pre-controlling, monitoring and optimization of the whole process of the actual grouting engineering.

The invention discloses a mine safety risk prevention and control method and system based on multi-source data fusion, and particularly relates to the technical field of mine safety monitoring, and the method comprises the steps: obtaining surface topography, an underground geologic structure and real-time monitoring parameters through remote sensing images, drilling data and dynamic monitoring equipment, and constructing a mining area geologic database with consistent time and space; fusing geologic feature data, integrating earth surface and underground feature data by using a three-dimensional geologic modeling technology, and mapping dynamic monitoring parameters into a model to generate a dynamic geologic feature field; performing clustering analysis on the abnormal feature points based on a spatial clustering algorithm, and calibrating a potential safety hazard region; calculating a regional risk comprehensive index by combining the risk values of the dynamic features, the geological features and the spatial features; early warning is triggered in a graded mode according to the comprehensive index, prevention and control measures are put forward, and the evaluation model is dynamically updated; comprehensive support is provided for mine potential safety hazard area monitoring and safety management decision making, and the method is suitable for risk management scenes of complex mining areas.

A system and method that may include receiving real-time downhole data from one or more sensors of a drillstring disposed in a borehole in a subsurface geologic region during a directional drilling operation. The system and method also include selecting a drillstring drilling mode from a plurality of drillstring drilling modes. The system and method may additionally include predicting, in real-time, characteristics of a hole bottom of the borehole using the drilling mode model and at least a portion of the real-time downhole data. The system and method may further include controlling the directional drilling operation using one or more of the characteristics.

A system and method that may include receiving real-time downhole data from one or more sensors of a drillstring disposed in a borehole in a subsurface geologic region during a directional drilling operation. The system and method also include selecting a drillstring drilling mode from a plurality of drillstring drilling modes. The system and method may additionally include predicting, in real-time, characteristics of a hole bottom of the borehole using the drilling mode model and at least a portion of the real-time downhole data. The system and method may further include controlling the directional drilling operation using one or more of the characteristics.

The invention discloses a non-coal mine safety risk dynamic monitoring and early warning system based on a point-surface fusion technology, and relates to the technical field of mine safety monitoring. The system uses four-dimensional space-time coordinate data of ground surface monitoring points to construct a dynamic ground surface model; dynamically inverting a probabilistic three-dimensional underground geomechanical model from the earth surface by adopting a deep learning large model (DSIM), and quantifying uncertainty; online self-adaptive evolution of the DSIM model is carried out by comparing the difference between prediction and actual observation; integrating a causal inference engine and deeply tracing risk driving factors; according to the method, underground state perspective, risk cause traceability and model self-evolution are realized, and the precision, reliability and intelligent decision support level of monitoring and early warning are remarkably improved.

The invention provides a three-dimensional seismic exploration analysis method, which comprises the following steps: S1, exploration design: determining a three-dimensional seismic exploration range and a target horizon, and designing an observation system; s2, acquiring data, including staking out in survey, exciting seismic waves and receiving seismic signals; s3, data processing: preprocessing the collected seismic data, removing noise and interference signals, and improving the signal-to-noise ratio, resolution and precision of the seismic data; and S4, geological interpretation: according to the processed seismic data, interpreting the geological structure and coal seam distribution of the coal mine area in combination with geological and geophysical prospecting data. According to the method, richer and more accurate underground geological information can be provided, the detection precision and reliability of coal mine underground geological structures and coal seam distribution are improved, noise and interference signals can be effectively removed, the signal-to-noise ratio and resolution of seismic data are improved, and the method is suitable for exploration and development of coal mines of different scales.

A system and method that may include receiving real-time downhole data from one or more sensors of a drillstring disposed in a borehole in a subsurface geologic region during a directional drilling operation. The system and method also include selecting a drillstring drilling mode from a plurality of drillstring drilling modes. The system and method may additionally include predicting, in real-time, characteristics of a hole bottom of the borehole using the drilling mode model and at least a portion of the real-time downhole data. The system and method may further include controlling the directional drilling operation using one or more of the characteristics.

The invention provides a seismic survey instrument for detecting underground geological structures, which belongs to the technical field of geological prospecting, and comprises a frame, a battery box mounted in the top end of the frame, a push plate mounted at the bottom end of a spring buffer, and a signal transmitter mounted on one side in the push plate, the leveling structure comprises a connecting arm rotationally connected to one side of the interior of the frame, a scraping plate fixed to one side of the interior of the housing and a transmission assembly arranged on one side of the housing. According to the ground leveling device, a driving motor is started to drive a rotating shaft to rotate, a scraper conducts leveling operation on the ground, the leveling depth is adjusted through stretching of a second electric push rod, and therefore the ground leveling function of the device is achieved, it is guaranteed that the device is in a horizontal state, and a detection unit is tightly attached to the ground; interference of external factors on observation data of the device is reduced, effective receiving and transmission of signals are ensured, and the reliability of survey results is improved.

The disclosure focuses on using a boundary identification system to actively determine borders and boundaries in subsurface geological features, such as reservoirs. In various implementations, the boundary identification system uses an ensemble image model leveraging multiple image-to-image machine-learning models to efficiently and accurately generate reservoir boundaries from inversion result profiles and images. In many instances, the boundary identification system generates reservoir boundaries from inversion results in real-time. Additionally, in some instances, the boundary identification system further improves the accuracy of the ensemble image model by diversifying the inputs and using ensembling on the individual model outputs during inference.

Providing mobile electric power comprising a power generation transport configured to convert hydrocarbon fuel to electricity and an inlet and exhaust transport configured to: couple to at least one side of the power generation transport such that the inlet and exhaust transport is not connected to a top side of the power generation transport, provide ventilation air and combustion air to the power generation transport, collect exhaust air from the power generation transport, and filter the exhaust air.

The invention discloses ground penetrating radar equipment based on an all-wheel-drive unmanned aerial vehicle and an underground geological three-dimensional map construction method, and relates to the technical field of three-dimensional map construction. The invention aims to solve the problems of terrain information perception distortion, difficulty in constructing a three-dimensional geologic model which is fused with terrain information and has space authenticity and the like caused by vehicle bumping and inclination in the prior art of integrating a ground penetrating radar into an intelligent unmanned vehicle platform for underground detection. According to the integrated structure design of the all-wheel-drive unmanned aerial vehicle integrated ground penetrating radar, the attitude of the whole unmanned aerial vehicle is kept stable when the unmanned aerial vehicle carries the radar for flight operation, data loss and noise introduction caused by attitude jitter of the unmanned aerial vehicle in the radar acquisition process are reduced, and a data foundation is laid for subsequent accurate three-dimensional geological map construction. According to the multi-sensor fusion method, the absolute precision of RTK, the high resolution of laser ranging and the dynamic response characteristic of an accelerometer are fully utilized, and the centimeter-level absolute position of the unmanned aerial vehicle, the height of the unmanned aerial vehicle to the ground and the absolute altitude of the ground surface below a scanning point are obtained. According to the invention, decoupling control of six degrees of freedom corresponding to the full-drive unmanned aerial vehicle is realized, so that the unmanned aerial vehicle can fly close to the rugged topography, and automatic and full-coverage scanning path flight is carried out with a constant ground clearance and a stable attitude.

The invention discloses a comprehensive source discrimination method suitable for a complex clastic rock system, and relates to the technical field of petroleum and natural gas exploration and development. According to the method, the space imaging advantage of three-dimensional seismic data of a research work area on an underground geologic body is fully utilized, and the material source of a complex clastic rock system is comprehensively judged by recognizing the carrying process of sedimentary substances and combining the datum plane cycle, logging facies and rock facies achievements. According to the method, the carrying process of the sediment can be more effectively highlighted, and interpretation personnel can be helped to more effectively clarify a material source system. The method disclosed by the invention is suitable for comprehensive distinguishing research on the material sources of the complex clastic rock system, and is expected to be applied to lithofacies paleogeography recovery and mineral resource development of a multi-material-source system basin.

The invention relates to the technical field of artificial intelligence, in particular to a method, a device and equipment for constructing a three-dimensional geologic model of a goaf of a steeply inclined coal seam under a repeated mining condition and a computer storage medium. According to the method for constructing the three-dimensional geologic model of the goaf of the steeply inclined coal seam under the repeated mining condition, provided by the invention, multi-source geologic data are subjected to integrated processing, useful information data are extracted, a geologic structure digital model with certain precision is established, and a space structure of a geologic body is simulated to the greatest extent; a visual three-dimensional geological model is established through multi-source geological data, information such as underground geological conditions, geological structures and coal seam occurrence laws is displayed in detail, and a basis can be provided for goaf site stability calculation and evaluation, goaf treatment scheme determination, computer numerical simulation and project display.

The invention discloses a gravity anomalous body inversion method based on a PMU-Net deep learning network, and belongs to the field of gravity inversion, and the method comprises the steps: increasing the number of observation equation sets through the joint inversion of two different types of gravity anomalous data, and comprehensively presenting an underground geologic structure. Data are processed by means of two independent channels, one channel uses a Mama module to capture dependency between observation points, and the other channel uses a spatial pre-training model to capture position association between the observation points and underground density. And the processed features are fused and input into the U-shaped neural network constructed by one-dimensional convolution, so that the calculation amount is reduced and the efficiency is improved. The system further comprises a simulation data generation module, and the problem of weak interpretability of deep learning in gravity inversion is solved by embedding priori knowledge. According to the invention, the accuracy and reliability of inversion under complex geological conditions are effectively improved, and an efficient and accurate new method is provided for geophysical exploration.

A system and method for digitally managing a CO2 injection and mineralization process within a subterranean geologic reservoir and a subterranean igneous rock formation. The system includes a processor with circuitry with program instructions configured to measure parameters of an injection fluid and a reservoir fluid, calculate injection data including the amount of CO2, a tracer, and supplementary substances effective to maintain a predetermined CO2 to tracer mass ratio in the injection fluid or the reservoir fluid, and inject the injection fluid into the subterranean geologic reservoir and / or the subterranean igneous rock formation to manage the CO2 injection and mineralization process, a measuring device connected to the processor, an injection device connected to the processor.

The invention is suitable for the field of geophysics, and provides a geologic structure edge detection method based on an enhanced gravity tensor eigenvalue, and the method comprises the steps: preparing data, and generating a gravity gradient tensor matrix; performing characteristic decomposition on the gravity gradient tensor matrix to obtain a gravity tensor characteristic value; performing deep decomposition on the gravity tensor characteristic value to extract amplitude information; constructing an enhanced edge detection filter F based on the amplitude information; according to the above steps, the structure edge detection calculation based on the enhanced gravity tensor characteristic value is realized, and the underground geologic structure edge is obtained. Compared with a common characteristic value detection technology, the geological structure (or target body) edge detection result obtained through the method technology can obtain a clearer and more continuous recognition effect, the positioning accuracy is high, the method can be well suitable for edge description of the geological structure (or target body) with multiple scales and different buried depth superposition, and the practicability is higher.

Systems and methods include a computer-implemented method for generating a geological structure map from mistied grid patches. Information content is analyzed that is in each patch of mistied grid patches that overlap in an area of interest. Polygons that are defined by areas of overlap of the mistied grid patches are generated and slightly enlarged in the areas of overlap. The mistied grid patches are ranked based on information content criteria. Overlapping portions of the mistied grid patches are blanked based on the ranking, where top-ranked portions of the mistied grid patches remain unblanked. A geological structure map representing a single continuous subsurface geological layer in the area of interest is generated by combining unblanked portions of the mistied grid patches. Generating the geological structure map includes regridding the mistied grid patches and interpolating values between the unblanked portions of the mistied grid patches.

A method of removing hydrogen sulfide from a subterranean geological formation includes mixing a cobalt-imidazolate material with an organic liquid containing one or more unsaturated oil to form a drilling fluid suspension with a pH of 10 or more. The cobalt-imidazolate material is a ZIF-67 and is present in an amount of 0.1 to 2.5 percent by weight of the drilling fluid suspension. The method further includes injecting the drilling fluid suspension in the subterranean geological formation and circulating the drilling fluid suspension in the subterranean geological formation and forming an oil-based mud to scavenge hydrogen sulfide from the subterranean geological formation.

The invention discloses an electrical source transient electromagnetic ground-air detection method and system, and relates to the technical field of geophysical exploration. The method comprises the following specific steps: arranging a transient electromagnetic transmitting device and a receiving device in a detection area; carrying out ground-air transient electromagnetic measurement at different flight height positions to obtain a transient electromagnetic data total set; preprocessing electromagnetic data in the transient electromagnetic data set to obtain preprocessed data; data interpretation is carried out on the preprocessed data, an underground electrical structure is reconstructed by using an inversion algorithm, and a resistivity distribution image of the underground geologic body is obtained to identify a low-resistance abnormal region; and based on an inversion result, expressing spatial distribution and physical property parameters of the deep geologic body by adopting a three-dimensional modeling technology. According to the invention, the deep geological target body can be accurately explored, so that the accurate and detailed geological information of the deep geological target body can be obtained.

The invention discloses a digital basin construction method and device in multi-resource exploration and development and a medium, and relates to the technical field of geologic model construction, and the method comprises the steps: carrying out the collection of regional surface images, and obtaining a regional surface image set; constructing an initial three-dimensional earth surface digital model; carrying out fracture identification on the initial three-dimensional earth surface digital model; obtaining a large-scale fracture model; carrying out distribution constraint mining analysis; and carrying out medium and small-scale fracture model construction to obtain medium and small scales, and obtaining a target digital basin. The technical problems that in the prior art, a large basin cannot be integrally constructed, the characterization accuracy of a large-medium-small multi-scale basic geologic model and an energy resource model is poor, and the comprehensiveness of underground geology and energy resource analysis is insufficient are solved, high-precision construction of the digital basin is achieved, and the construction efficiency is improved. And the characterization accuracy of the multi-scale basic geologic model and the energy resource model in the geologic model and the analysis comprehensiveness of underground geology and energy resources are improved.

A method of removing hydrogen sulfide from a subterranean geological formation includes mixing a zinc-imidazolate material, ZIF-8, in an amount of 0.1 to 2.5 percent by weight with an organic liquid containing one or more unsaturated oils to form a drilling fluid suspension with a pH of 10 or more. The method includes injecting the drilling fluid suspension in the subterranean geological formation, circulating the drilling fluid suspension in the subterranean geological formation to form an oil-based mud, and scavenging hydrogen sulfide from the subterranean geological formation.

A method can include performing a simulation to generate synthetic seismic data using a wavelet and a velocity model of a subsurface geologic region, where the velocity model includes representations of subsurface structural features and associated geophysical parameters; generating a velocity gradient conditioner for the velocity model based at least in part on the synthetic seismic data; performing an iterative inversion process using acquired seismic data for the subsurface geologic region, the velocity model, and the velocity gradient conditioner; and outputting a final velocity model of the subsurface geologic region as a result of the iterative inversion process.

The disclosure focuses on a drilling system that uses a horizon mapping system to actively determine resistivity change interfaces that form a horizon in subsurface geological features. In various implementations, the horizon mapping system uses a resistivity image mapping neural network to efficiently and accurately generate horizon maps of subsurface geological features, such as reservoirs, from resistivity images. Additionally, the horizon mapping system may generate augmented resistivity images labeled with a horizon map in real time as data and measurements are received.

A method can include accessing data for a number of reservoir sites, where the data include at least property data for reservoir properties; performing a determination, using the property data for the reservoir sites, as to whether the reservoir properties for the reservoir sites are independent; responsive to the determination, implementing a Sobol' indices technique or a Kucherenko indices technique to generate global sensitivity analysis results that include property indices for the reservoir properties; generating confidence intervals for the property indices; and generating a graphical user interface for rendering the property indices with the confidence intervals for a number of the reservoir properties.

The invention discloses an intelligent exploration data analysis system and method, and relates to the technical field of geological exploration, and the system comprises a test module, an analysis module and a prediction module. According to the method, geological electromagnetic and stratum original data are collected in a multi-dimensional mode, forward modeling and inversion are carried out on electromagnetic data, the relation between underground conductivity and an electromagnetic field can be accurately simulated, data errors are effectively reduced, the electromagnetic data processing accuracy is improved, a geological unit calculates a seismic wave field based on wave equation numerical simulation, and the electromagnetic data processing accuracy is improved. The prediction wave field and the observation wave field are substituted into an objective function, the stratum velocity and density are accurately inverted, the geological data processing precision is guaranteed, the joint unit organically combines an electromagnetic inversion objective function, an earthquake full-waveform inversion objective function and a parameter correlation constraint term through a joint optimization formula, multi-source data depth fusion is achieved, and the geological data processing precision is guaranteed. The limitation of single data processing is avoided, and the underground geological condition is reflected more comprehensively.

The invention provides a sand-gravel stratum grouting simulation test system and method based on a three-dimensional forming technology, and relates to the technical field of grouting simulation tests.The sand-gravel stratum simulation module identifies an underground geologic structure and a stratum interface of a sand-gravel stratum to be simulated based on drilling geophysical prospecting data and geological prospecting information; obtaining stratum interface refined characterization, stratum permeability attribute characterization and stratum water-rich degree attribute characterization; on the basis of refined representation of stratum interfaces, three-dimensional forming printing is conducted on the stratum interfaces, the stratum interfaces are fixed in a test model cylinder, stratum media are filled layer by layer according to stratum permeability attribute representation and stratum water-rich degree attribute representation, and construction of a sandy gravel stratum model is completed; based on the structural analysis of the to-be-simulated sandy gravel stratum, the stratum interface and the filling medium are printed through the three-dimensional forming technology, the sandy gravel stratum model is constructed, and the reliability and accuracy of a sandy gravel stratum grouting simulation test are improved.

A subsurface pumped hydropower storage system is provided and includes an upper reservoir, and a lower reservoir within a subsurface formation. The system includes a completed well extending into the subsurface geological strata to reach the lower reservoir, the completed well has a wellhead at the surface, a casing, a tubing string extending within the casing, the tubing being adapted to establish fluid communication between the upper reservoir and the lower reservoir. An electric submersible pump (ESP) operable in a turbine configuration and a pumping configuration is coupled to the tubing string, where, when in the turbine configuration, electricity is generated and transmitted to the surface via a power cable connected to the ESP, and, when in the pumping configuration, electricity is consumed to pump the working fluid from the lower reservoir into the upper reservoir.

The invention provides an aeromagnetic anomaly automatic delineation method and device and electronic equipment, and the method comprises the steps: carrying out the continuous wavelet transformation of any data in grid aeromagnetic data, and obtaining a wavelet coefficient; calculating an instantaneous frequency and converting the wavelet coefficient from a time scale domain to a time frequency domain; carrying out extrusion rearrangement on the wavelet coefficient to obtain a two-dimensional synchronous extrusion transformation quantity value; and storing the two-dimensional synchronous extrusion transformation quantity value of each channel of data into a three-dimensional matrix and slicing to obtain aeromagnetic data information under different frequency distributions, thereby realizing aeromagnetic anomaly identification delineation of the gridding aeromagnetic data. According to the aeromagnetic anomaly automatic delineation method and device and the electronic equipment provided by the embodiment of the invention, the characteristics of the aeromagnetic data for reflecting the magnetic anomaly of the underground geologic body are fully utilized, and the aeromagnetic data are converted from a space-amplitude domain to a space-frequency domain by using a time-frequency analysis method, so that the extraction of the aeromagnetic anomaly characteristics is effectively completed, and the accuracy of the aeromagnetic anomaly detection is improved. And the problems of insufficient resolution and fuzzy boundary of the original data are solved.

A method of removing hydrogen sulfide from a subterranean geological formation includes mixing a zinc-imidazolate material, ZIF-8, in an amount of 0.1 to 2.5 percent by weight with an organic liquid containing one or more unsaturated oils to form a drilling fluid suspension with a pH of 10 or more. The method includes injecting the drilling fluid suspension in the subterranean geological formation, circulating the drilling fluid suspension in the subterranean geological formation to form an oil-based mud, and scavenging hydrogen sulfide from the subterranean geological formation.