118 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.

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.

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 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 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.

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.

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.

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.

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.

Detection technology to monitor a flare stack during drilling operations and determine information based on the imaging. Various actions may be taken based on the determined information. For example, subterranean geology may be mapped. This may include mapping formation properties, fractures, faults or reservoir zones. Additionally, drilling operational parameters may be adjusted. This may include adjusting rate of direction, penetration, weight on bit, rotary speed, mud flow rate, mud weight, actuating a valve, or changing the pump speed.

A method for underbalanced drilling includes drilling into a subterranean geological formation to form a wellbore therein, injecting a foaming agent into the wellbore during drilling at a wellbore pressure that is below a pore pressure of the subterranean geological formation, and transporting drill cuttings formed by the drilling away from the drilling surface in the foam. The foaming agent forms a foam in the wellbore at a drilling surface at a bottom of the wellbore. The foaming agent is an aqueous solution including an ammonium alcohol ether sulfate surfactant.

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 relates to the field of three-dimensional geological modeling and element universe, and discloses a three-dimensional geological attribute model dynamic visualization method, system, medium and equipment based on element universe, and the method comprises the steps: reading top and bottom surface coordinates, depth coordinates, an ACTNUM table and an attribute table in a loaded three-dimensional geological attribute model, calculating eight vertex coordinates, an activation state and an attribute table of each grid; judging whether permeability layer-by-layer visualization is carried out or not according to a calculation result; and importing the processed model file into Unity3D, setting a dynamic visualization function of permeability or saturation, exporting a dynamic scene as an APK from the Unity3D, installing the APK to MR equipment, and clicking two dynamic visualization buttons on the MR equipment to dynamically characterize attributes. According to the method, the three-dimensional geological attribute model is dynamically displayed in the meta-universe environment, the visualization effect and understanding of the underground geological structure are improved, and a more scientific and efficient solution is provided for exploration and development of oil and gas fields.

The invention belongs to the technical field of geophysical exploration, particularly relates to a background noise seismic frequency imaging method and system based on autocorrelation, and aims to solve the problem that an existing background noise exploration method is insufficient in resolution. The method comprises the following steps: acquiring background noise data of a plurality of acquisition points in a target area and segmenting the background noise data to obtain horizontal component signals in different directions; performing self-correlation calculation on each horizontal component signal to obtain a plurality of sections of self-correlation sequences, performing frequency domain conversion, and performing superposition according to directions to obtain a north component characteristic frequency spectrum and an east component characteristic frequency spectrum; and combining the east characteristic frequency spectrum and the north characteristic frequency spectrum, mapping the combined frequency spectrum into the depth of the underground anomalous body, and generating a frequency imaging result. According to the method, after self-correlation processing, the passive source body wave signals are transmitted in a frequency domain and reflected on the ground surface through an underground geological interface to interfere and perform imaging, the exploration cost is low, the applicability is high, and the imaging resolution of low-speed anomalous bodies such as karst is high.

A method of modeling subsurface geology includes receiving interpreted data including fault data indicating at least one fault within the interpreted data, and geological feature data including a plurality of horizon picks indicating a subsurface geological feature. The method includes, based on the fault data, creating a dynamic kernel mask. The method includes generating a geological model using a horizon-fault machine learning (ML) model that is generated to process input geological feature data to predict continuous geological features across subsurface discontinuities based on applying the dynamic kernel mask to isolate continuous zones in the input geological feature data. The method also includes providing the geological model for simulating one or more properties of a geological feature indicated in the geological feature data.

The invention discloses a power transmission tower footing site selection method, system and equipment, and relates to the technical field of power transmission line engineering. The method comprises the following steps: carrying out physical detection on a target area, obtaining geological data through geophysical detection, laying verification drill holes, and constructing a multi-source geological data set; based on the multi-source geological data set, constructing a three-dimensional geologic body model capable of representing underground structure spatial distribution; and according to the three-dimensional geologic body model. According to the method, the high-precision three-dimensional model is constructed by fusing the multi-source geological data, so that the detection precision and reliability of the underground geological structure are remarkably improved; geological information is deeply combined with a multi-objective optimization algorithm, so that scientific site selection of comprehensively optimizing cost, path and construction difficulty while avoiding risks is realized; and finally, by means of reinforcement learning and a risk assessment mechanism, the engineering is endowed with dynamic adjustment and prospective management capabilities, so that the safety, economical efficiency and decision scientificity of the power transmission tower footing engineering are improved.

Systems and processes for stimulating subterranean geologic formations to create an artificial stress barrier. An injector well extends from surface to a subterranean geologic formation. After cementing and perforating, the injector well utilizes single-path injection through a coiled tubing and a pump. The coiled tubing is inserted into the injector well to a first stimulation zone. A first stimulation fluid is pumped through the coiled tubing at rate R1 into the first stimulation zone, spaced apart from a target stimulation zone in the formation. The coiled tubing is then inserted into the injector well to the target stimulation zone, then main stimulation treatment fluid at rate R2 is pumped through the coiled tubing at the target stimulation zone, where R2>R1. A sub-system is included that measures blocking effect on the main stimulation fluid in the target stimulation zone by the first stimulation fluid in the first stimulation zone.

A method for inhibiting the formation of scale in a subterranean geological includes injecting a scale-inhibiting composition into a subterranean geological formation comprising a target zone. The scale inhibiting composition includes water and an amphiphilic polymer selected from the group consisting of S1, S2, and combinations thereof, where the structure of S1 is:the structure of S2 is:where x is in a range from 4 to 20, and n is in a range from 3 to 15, and where the amphiphilic polymer is dissolved in the scale inhibiting composition in an amount such that the concentration of the amphiphilic polymer at the target zone is equal to or greater than 500 ppm.

The invention discloses a three-dimensional geophysical prospecting detection method for a shallow corrosion groove, and belongs to the technical field of geological investigation, and the method comprises the following steps: S1, basic geological data collection and multi-geophysical prospecting method validity verification; s2, screening an optimal geophysical prospecting method combination and setting parameters based on test data; s3, on-site detection network layout and equipment deployment based on optimal parameters; s4, collecting on-site geophysical prospecting data and preliminarily identifying a target body; and S5, multi-source geophysical prospecting data fusion and underground geologic structure three-dimensional modeling are carried out. According to the three-dimensional geophysical prospecting detection method for the shallow corrosion groove, the cross-hole seismic wave CT and the transient electromagnetic method are combined, the karst cave recognition accuracy and the resolution ratio of the shallow corrosion groove can be improved, full-depth detection within the range of 0-50 m can be achieved, the three-dimensional model can visually present underground information, and accurate basis is provided for construction.

A first fracturing pump is selectively engaged or disengaged a from an electric prime mover based on operation of a first lever by a user. The first lever, the electric prime mover, and the first fracturing pump are mounted on a mobile transport. A second fracturing pump is selectively engaged or disengaged a from the electric prime mover based on operation of a second lever by the user. The second lever is also mounted on the mobile transport. The electric prime mover is operable to drive one of the first and second fracturing pumps that is engaged with the electric prime mover while not driving the other of the first and second fracturing pumps that is disengaged from the electric prime mover by operation of a corresponding one of the first and second levers.