56 results about "Subsurface geology" patented technology

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 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.

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.

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 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.

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.

The present application provides a metal mining area earthquake frequency resonance interference processing method and system based on deep learning, relating to the technical field of signal data processing, the method comprising: arranging an observation array in a metal mining area, collecting earthquake frequency resonance original data containing environmental vibration interference; preprocessing the earthquake frequency resonance original data by standardization and format conversion, extracting time domain sequences containing three-axis acceleration information; inputting the time domain sequences into a pre-trained deep learning model, identifying and preliminarily separating the environmental vibration interference signals; performing time-frequency analysis on the preliminarily separated environmental vibration interference signals, dynamically determining at least three characteristic positioning points in the time-frequency characteristic space, the characteristic positioning points being selected from specific frequency amplitude peak points, time-frequency energy ridge intersection points and phase mutation points. The present application realizes accurate identification and directional rejection of non-steady-state and strongly coupled environmental vibration interference in the mining area, and maximally retains effective resonance signals reflecting underground geological structures.

A system and method may include receiving real-time downhole data from one or more sensors of a drill string disposed in a borehole in a subterranean geological region during a directional drilling operation. The system and method also include selecting a drill string drilling mode from a plurality of drill string drilling modes. The systems and methods may additionally include predicting, in real-time, characteristics of the bottom hole of the borehole using the drilling pattern model and at least a portion of the real-time downhole data. The system and method may also include using one or more characteristics to control directional drilling operations.

The embodiment of the invention relates to the field of electric or magnetic exploration or detection, in particular to a method and system for determining the extension form of a fracture deep part of a granite type uranium mine. According to the method and the system, the relation between the electrical difference and the underground geologic structure can be quantified by determining the relation between the electrical resistivity of the fracture area and the electrical resistivity of the peripheral area of the fracture area; an underground resistivity inversion cross-section diagram is determined according to the frequency-apparent resistivity of each measuring point, and the deep extension form of the fracture can be visually judged; according to the method, the frequency-apparent resistivity at the measuring point is determined only by using the electric field signal, so that the calculation result is more accurate; and in combination with an underground resistivity inversion section diagram of a detection section, the deduction of the deep extension form of the fracture can be more accurate.

The application belongs to the technical field of geophysical exploration, and particularly relates to a background noise seismic frequency imaging method and system based on autocorrelation, aiming to solve the problem of insufficient resolution of the existing background noise exploration method. The method comprises the following steps: obtaining background noise data of multiple acquisition points in a target area and segmenting, to obtain horizontal component signals in different directions; performing autocorrelation calculation on each horizontal component signal, respectively, to obtain multiple autocorrelation sequences, then performing frequency domain conversion, respectively, and stacking according to the direction, to obtain a north component characteristic frequency spectrum and an east component characteristic frequency spectrum; merging the east component characteristic frequency spectrum and the north component characteristic frequency spectrum, to map the underground abnormal body depth, to generate a frequency imaging result. After autocorrelation processing, the passive source body wave signal propagation is used in the frequency domain to reflect on the ground interference for imaging through the underground geological interface, the exploration cost is low, the applicability is strong, and the imaging resolution of karst and other low-velocity abnormal bodies is high.

Method and apparatus for constructing seismic velocity models of the underground geologic formation using full waveform inversion are provided. The method evaluates velocity model accuracy by measuring local traveltime differences between recorded seismic data and synthetic data. The travetime misfit may be calculated with a hybrid L1 / L2 norm that relatively lowers down the influence of large traveltime difference in each iteration and ensures the inversion stability. The method tolerates poor quality initial model and generates high resolution models.

The application discloses a water level prediction method and device for water conservancy projects. The method comprises the following steps: reading water level time series data of a reservoir at a preset interval; obtaining external influence data of the water level of the reservoir and performing feature extraction to obtain external influence features and store the external influence features to a block chain; performing correlation analysis on the external influence features and the water level of the reservoir, and assigning weights to the external influence features according to the analysis result; inputting the water level time series data and the external influence features carrying the weights into a pre-trained water level prediction model to obtain an initial predicted water level; calculating first internal influence data of the water level of the reservoir through the inflow of the reservoir according to water quality information and geological information of inflow rivers of the reservoir; measuring underground water level data and underground geological data of the reservoir to determine second internal influence data of the water level of the reservoir; and correcting the initial predicted water level through a water level correction model based on the first internal influence data and the second internal influence data to obtain a final predicted water level.

The invention discloses a sandstone type uranium ore prospecting method based on a fault subsidence boundary fault, and belongs to the technical field of uranium ore geological exploration. Comprising the following steps: S1, determining an underground geological structure; s2, determining fault subsidence and fault types; s3, determining the type of an oxidation zone; s4, determining the type of a gray sand body; s5, forming prediction element combination type codes; s6, determining the type of the favorable area; and S7, determining the accurate position of the favorable area, and realizing prospecting prediction. The method is an efficient and reliable prospecting technical method for the sandstone-type uranium ore, is a high summary of latest prospecting results of the sandstone-type uranium ore by analyzing deep fault subsidence and guiding shallow prospecting, and is high in directivity for prospecting work; different from traditional perceptual prospecting cognition, geological elements are coded and combined, natural element digitization is achieved, mathematical calculation is introduced into prospecting work, and the method is more scientific, more reliable and high in operability; as a specific operable prospecting method, the prospecting efficiency and the prospecting rate can be effectively improved.

A method of removing hydrogen sulfide from a subterranean geological formation includes injecting a drilling fluid suspension in the subterranean geological formation. The drilling fluid suspension has a pH of 10 or more and includes a layered triple hydroxide material, including copper, magnesium, and iron, in an amount of 0.01 to 1.5 precent by weight of the drilling fluid suspension. The method further includes circulating the drilling fluid suspension in the subterranean geological formation and forming a water-based mud, and scavenging the hydrogen sulfide from the subterranean geological formation by reacting the hydrogen sulfide with the layered triple hydroxide material in the water-based mud.

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 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.

The invention relates to the technical field of geological exploration, in particular to an air natural electric field frequency selection detection method and system. A capacitance detector is adopted to replace a potentiometer for measurement, and the capacitance detector is adopted to directly observe the horizontal electric field component of an electric field in the x direction of a measuring line in the earth surface air at an exploration point; the size of the horizontal electric field component is equal to the ratio of the observation value of the original potentiometer to the distance between two adjacent detection points, and the tangential components of the electric field intensity on the two sides of the dielectric interface are continuous; therefore, the control host obtains the actual potential difference corresponding to each exploration point based on the observation potential difference corresponding to each exploration point, subsequently determines the potential curve graph of the to-be-measured area based on the actual potential difference corresponding to each exploration point under different set frequencies, and carries out exploration analysis on the underground geological condition of the to-be-measured area through the potential curve graph. In the whole process, a detection electrode does not need to be embedded into a detection point, and a capacitance detector is directly placed at each exploration point on the ground surface.

The invention relates to the field of geological detection, provides an underground in-situ detection method and system suitable for a kilometer-level horizontal hole in order to improve the detection efficiency and precision at the same time, constructs an evidence reliability guarantee mechanism of hardware noise reduction and algorithm weighting, dynamically adjusts the weights of earthquake and radar data according to the quality fluctuation of data while drilling, and improves the detection efficiency and precision. The reliability of fusion input data is ensured; a D-S algorithm redundancy calculation step is simplified, a fusion calculation period is compressed to a millisecond level in combination with a high-speed data transmission link, and the real-time feedback requirement while drilling is met; a three-dimensional collaborative detection and fusion system of a macroscopic geologic structure and a microscopic anomalous body is constructed, the advantages of multi-source data are brought into full play, and the comprehensiveness and the refinement degree of underground geologic structure detection are improved.

This invention relates to the field of exploration geophysics and provides a method for reconstructing VSP data into ground seismic data. This method can reconstruct VSP data into ground seismic data, changing the type of the original seismic data. The reconstructed seismic data has a high signal-to-noise ratio. Furthermore, by performing joint data processing on the original VSP data and the reconstructed ground seismic data, the imaging accuracy of underground geological structures can be improved, and the imaging range of underground geological structures can be effectively expanded, resulting in high-quality imaging results.

The invention relates to the technical field of seismic exploration data processing methods, and particularly discloses a velocity analysis method and device using imaging domain diffraction energy envelope, and the method comprises the steps: carrying out the migration imaging of a seismic data volume at a batch displacement velocity, and obtaining a pre-stack migration velocity; performing imaging envelope calculation by using the pre-stack migration velocity; and carrying out interactive speed analysis on a result of the imaging envelope calculation, and selecting a proper pre-stack migration speed. The invention provides an imaging gather envelope calculation method based on image cross-correlation, velocity analysis is carried out according to the focusing degree of diffracted energy at different velocities, technical support is provided for accurate velocity interpretation of an underground geologic body, and the problem that conventional migration velocity analysis depends on a reflected wave field and is not accurate is solved. And the diffracted waves are more sensitive to the reaction of the speed.

An exploration robot platform based on a microtremor survey technology for detecting unknown underground geological bodies in urban environments. The platform includes a robot system configured to con

This invention relates to a method and system for determining the location of oil and gas reservoirs using a mechanical property model of a subsurface geological region. The method (10, 20) includes the steps of: creating multiple hypothetical seismic profiles at the time of deposition based on seismic interpretation of the subsurface geological region and the influence of tectonic time data and tectonic pressure data (11, 21); and creating a mechanical property model of the subsurface geological region based on the multiple hypothetical seismic profiles at the time of deposition and the influence of tectonic time data and tectonic pressure data (12, 22).

The invention discloses a three-dimensional seismic image super-resolution reconstruction method based on an improved generative adversarial network, and belongs to the technical field of seismic images, and the method comprises the steps: constructing a data volume comprising three-dimensional low-resolution seismic data and three-dimensional high-resolution seismic data; based on the data volume, constructing a Gan-CMDEP network as a generative adversarial network; constructing a loss function including discriminator loss and generator loss, and training a Gan-CMDEP network based on the data volume and the loss function; and performing three-dimensional seismic image super-resolution reconstruction based on the trained Gan-CMDEP network to obtain a three-dimensional super-resolution seismic image. According to the method, the global spatial dependency relationship is enhanced, the trend and distribution of the underground geologic structure can be mastered as a whole, the attention of the network to spatial features is dynamically adjusted, discriminator loss and generator loss are designed, it is ensured that the network can effectively learn the distribution features of real seismic data, and the accuracy of super-resolution reconstruction is improved.

The embodiment of the invention discloses an in-situ leaching uranium mining simulation test device and method.The test device comprises a main body reaction system, the main body reaction system comprises a barrel, a temperature control assembly and a stress loading assembly, the barrel is used for containing a sample, the temperature control assembly is arranged in the barrel and used for regulating and controlling the temperature in the barrel, and the stress loading assembly is arranged in the barrel; the stress loading assembly is arranged in the cylinder body, and the stress loading assembly is used for applying pressure to the sample in the cylinder body. The temperature control assembly, the stress loading assembly, the leaching liquid injection system and the leaching liquid collection system are integrated, the temperature control precision is high, the range is wide, the pressure control precision is high, various test scenes and conditions are met, the device and the method achieve reproduction of an underground geological environment in a laboratory, indoor leaching simulation accurately regulates and controls the temperature and the pressure, and the test efficiency is improved. Simulation data is closer to underground leaching data including temperature and pressure field conditions; and the indoor simulation test research requirement on the intensified leaching of the complex and refractory mining body of the in-situ leaching uranium mining mine can be met.

A method can include stochastically generating at least fifty realizations for a subsurface geologic environment by sampling distributions for a number of parameters that characterize the subsurface geologic environment, where the at least fifty realizations represent different results for an actual, physical characteristic of the subsurface geologic environment; ranking the number of parameters with respect to influence on the different results; and generating result predictions using a trained machine learning model for variations in values of at least the top ranked parameter, wherein the trained machine learning model is trained using at least a portion of the at least fifty realizations and their corresponding different results.