68results about "Optical prospecting" patented technology

A downhole tool system includes a bottom hole assembly that includes a connector; a laser head; a light source; a sensing assembly; and a controller. The connector is configured to couple to a downhole conveyance run into a wellbore to a reservoir rock formation. The laser head is configured to emit a laser beam toward the reservoir rock formation at a fixed frequency. The light source emitter is configured to emit a light beam toward the reservoir rock formation. The sensing assembly includes at least one optical receiver configured to (1) receive a reflected laser beam and a reflected light beam, and (2) interfere the reflected laser beam with the reflected light beam. The controller is configured to perform operations including generating a speckle interferogram based on the interference; and determining an angular displacement and an axial displacement of the wellbore based on the speckle interferogram.

The invention provides a nickel ore target region prediction method and system based on hyperspectral remote sensing data analysis, and relates to the technical field of mineral resource exploration, and the method comprises the steps: firstly obtaining a hyperspectral remote sensing data body of a to-be-predicted region, then carrying out alteration feature space clustering construction processing on the hyperspectral remote sensing data body, forming an alteration feature space cluster body, and carrying out the clustering construction processing on the alteration feature space cluster body; the method comprises the following steps: identifying spatial distribution of various geological alteration types and binding spectral features, then carrying out mineralization alteration combination sequential spatial evolution processing to obtain a mineralization alteration sequential evolution body, then carrying out target area indication feature anchoring shaping construction processing on the mineralization alteration sequential evolution body to form a target area indication space shaping body, and carrying out target area indication feature anchoring shaping construction processing on the target area indication space shaping body. And positioning key indication characteristics of the nickel ore target region, and finally carrying out nickel ore target region space consolidation delineation treatment to generate a nickel ore target region prediction result. According to the method, spectrum and space information of hyperspectral remote sensing data is fully utilized, and the accuracy and reliability of nickel ore target region prediction are effectively improved.

The invention discloses a gold ore prospecting and exploration sampling device and method, and relates to the technical field of prospecting and exploration equipment, and the device comprises a main body frame which comprises a sampling vehicle main body and a data processing unit; the sampling area is composed of a multi-joint mechanical arm and a sampling drill bit; the analysis area comprises a sample management assembly, the sample management assembly is integrated in the sampling vehicle main body, and the analysis area is used for automatic identification, storage, preliminary analysis and pretreatment of samples. According to the invention, automatic sampling, intelligent data analysis and adaptive sample treatment are integrated, and closed-loop optimization of the exploration process is realized. According to the method, multi-source geological data are fused through a machine learning model, a sampling strategy is intelligently predicted and optimized, and a sample preprocessing process can be dynamically adjusted to ensure analysis precision, so that the efficiency and accuracy of gold mine exploration are remarkably improved.

An apparatus for analyzing a payload being transported in a load carrying container of a vehicle is disclosed. The apparatus includes a camera disposed to successively capture images of vehicles traversing a field of view of the camera. The apparatus also includes at least one processor in communication with the camera, the at least one processor being operably configured to select at least one image from the successively captured images in response to a likelihood of a vehicle and load carrying container being within the field of view in the at least one image, and image data associated with the least one image meeting a suitability criterion for further processing. The further processing includes causing the at least one processor to process the selected image to identify a payload region of interest within the image and to generate a payload analysis within the identified payload region of interest based the image data associated with the least one image.

The utility model discloses a speed control device for guide hole drilling, which relates to the technical field of rock stratum drilling and comprises a fixed frame body, a drilling machine body is arranged in the fixed frame body, a telescopic rotating motor is arranged in the drilling machine body, and a rotating drill bit is arranged at the bottom end of the telescopic rotating motor. The telescopic rotating motor and the rotating drill bit are used for conducting vertical forward hole guiding on the courtyard. Through the fixing frame body, the inserting plate, the connecting block and the gradienter body, the state that the rotary drill bit moves downwards all the time is kept, it can be guaranteed that when the rotary drill bit drills holes, the fixing frame body can protect operators, the rotary drill bit keeps the state of moving downwards all the time, the drilling process can be continuously conducted, and the drilling efficiency is improved. And time waste caused by stagnation or adjustment of the rotary drill bit is reduced. The design of the fixed frame body provides a safe barrier for operators, and the rotary drill bit can be prevented from hurting the operators due to drill bit breakage or rock splashing in the drilling process.

This measurement device (1) comprises an imaging control unit (21) for causing an imaging unit (14) to image a prescribed object of interest in the water and a vibration measurement unit (23) for measuring sound waves in the water by measuring the vibration frequency of the object of interest on the basis of images that were made to be captured by the imaging control unit (21).

The invention belongs to the technical field of building survey, and particularly relates to a rapid survey device for the trend of a hidden inspection well in a community and a use method thereof.The rapid survey device comprises a hollow pipe, one end of the hollow pipe is communicated with a hollow block, the top end of the hollow block is fixedly connected with a connecting rod, and the end, away from the hollow block, of the connecting rod is fixedly connected with a displayer; a connecting line is arranged in the hollow pipe, a connecting disc is fixedly connected to the end, away from the interior of the hollow block, of the connecting line, and a panoramic camera is fixedly connected to the bottom face of the connecting disc; the hollow pipe extends into the bottom of a vehicle, the driving wheels can assist the whole device to move, then the panoramic camera is moved to a lock hole of a well lid, the pay-off assembly can be used for controlling the connecting line to pay off, the panoramic camera enters the inspection well, the panoramic camera can shoot the condition in the inspection well, and the inspection well is convenient to use. And the data is displayed on the display, so that the data of the pipeline direction in the inspection well can be known.

The invention discloses a full-hole-wall digital imaging rock mass fracture intelligent identification and analysis system, which relates to the technical field of rock mass fracture identification, and comprises a rock mass image data acquisition system, a data integration and processing system, a calculation and analysis system, a fracture identification system, a rock mass fracture construction system and an information display system. According to the invention, the accuracy and practicability of full-hole wall digital imaging crack detection and data analysis can be improved.

In some embodiments, a method for controlling a learning machine used in a drilling operation to drill a well into a subsurface formation includes receiving, via a video stream, an image of debris including cuttings from the drilling operation. The method may further include generating a first mask on the image to identify the cuttings in the debris, generating, via instance segmentation, a second mask for each of the identified cuttings, determining, based on the second masks, one or more properties of each of the cuttings, and associating each of the identified cuttings to a depth interval of the subsurface formation based, at least in part, on the properties of each of the identified cuttings and at least one property of the drilling operation.

This invention provides a method and system for predicting nickel ore target areas based on hyperspectral remote sensing data analysis, belonging to the field of mineral resource exploration technology. First, hyperspectral remote sensing data of the area to be predicted is acquired. Then, alteration feature spatial clustering construction processing is performed on the hyperspectral remote sensing data to form alteration feature spatial clusters, identifying the spatial distribution of various geological alteration types and binding spectral features. Subsequently, sequential spatial evolution processing of mineralized alteration combinations is performed to obtain a sequential evolution body of mineralized alteration. Next, target area indicator feature anchoring and shaping construction processing is performed on the sequential evolution body of mineralized alteration to form a target area indicator spatial shaping body, locating key indicator features of the nickel ore target area. Finally, spatial reorganization and delineation processing of the nickel ore target area is carried out to generate the nickel ore target area prediction result. This invention fully utilizes the spectral and spatial information of hyperspectral remote sensing data, effectively improving the accuracy and reliability of nickel ore target area prediction.

The application discloses a kind of induction logging instrument systems and acquisition method based on plasma optical fiber sensor, including ground current emission source and at least one well in current emission source and well in receiving acquisition device, the well in receiving acquisition device is connected with the optical system of induction signal detection being arranged on ground, the optical system is composed of sequentially connected broadband light source, polarizer, polarization controller, fiber optic circulator and spectrum analyzer, the fiber optic circulator is connected with well in receiving acquisition device and spectrum analyzer respectively, at least two plasma resonance optical fiber sensing probes are arranged in the well in receiving acquisition device. There is no mutual interference or crosstalk between plasma resonance optical fiber sensor, optical fiber sensor and emission power supply and antenna, and it is not easy to be disturbed by environmental electromagnetic noise, and multi-channel large data high-speed real-time transmission can be realized by using armored photoelectric composite cable connected with each well in receiving acquisition device.

The application discloses a karst landform cave detection method and an underwater robot, and the method comprises the following steps: 1) entering water and initial deployment; 2) non-powered drift navigation; 3) cave observation and data collection; 4) resistance judgment and self-rescue control; 5) continuous drift and path recording; and 6) a three-dimensional cave construction module. The application has the advantages of compact structure, reliable waterproof, high navigation precision, resistance self-rescue capability and three-dimensional modeling post-processing capability, and is suitable for narrow and complex underwater environment detection.

The invention relates to a sulfide ore body detection method and device, prospecting equipment and a computer storage medium, and belongs to the technical field of prospecting. The sulfide ore body detection method comprises the steps that a target to-be-detected area and a comparison detection area used for being compared with the target to-be-detected area are determined; multiple atmospheric optical parameters of the target to-be-detected area and the contrast detection area are collected, and the difference between the multiple atmospheric optical parameters of the target to-be-detected area and the corresponding atmospheric optical parameters in the contrast detection area is determined; and determining the probability that sulfide ore bodies exist in the target to-be-detected area based on the difference. The detection accuracy of the sulfide ore body can be improved.

The invention relates to the technical field of intelligent sensing, in particular to a method for measuring an underground water migration path by utilizing a tracer agent, which comprises the following steps: synchronously acquiring two paths of signals according to the action of pump light and probe light on a fluorescein sodium tracer agent in a pore medium, and the returned stimulated light and the local oscillation light subjected to frequency shift by the acousto-optic modulator are interfered to generate an interference beat frequency electric signal. Two different optical signals from the same tracer block mass are synchronously collected and deeply analyzed, multi-dimensional and high-precision representation of the underground water migration process is achieved, returned stimulated emission light is interfered with local light, spectrum analysis is carried out on interference beat frequency signals, and the accuracy of the underground water migration process is improved. The instantaneous flow velocity value reflecting the motion state of the tracer agent block mass can be obtained, the limitation that the flow velocity is calculated by depending on the average time between two points traditionally is avoided, and the real dynamic change rate of the fluid in the complex pore medium can be captured.

Mining shovel with compositional multispectral and / or hyperspectral imaging and associated methods and systems are disclosed herein. In some embodiments, a mining detection system includes a mining bucket carrying a multispectral and / or hyperspectral imaging system and various sensors directed toward material entering and positioned within the bucket. The bucket can also carry a control enclosure housing image and sensor processing equipment that receives and analyzes the data collected by the multispectral and / or hyperspectral imaging system and the sensors. The disclosed systems and methods can provide real-time compositional analysis of mined materials at the mining site, which can be used to manage a mining field, including generating and transmitting instructions for where the material within the bucket should be delivered based on the data collected from the multispectral and / or hyperspectral imaging system and the sensors.

The invention relates to a seabed sediment sampler, in particular to a columnar sediment sampler with a detection function, an electric hydraulic rod is fixedly mounted in a columnar sampler main body, the top end of the columnar sampler main body is connected with a mounting box, and a pressure sensor is fixedly mounted on the outer wall of one side of the mounting box; a first rotating assembly is arranged on the outer wall of the mounting box, an illuminating lamp is connected to the first rotating assembly, a protection box is fixedly connected to the bottom end of the mounting box, a second rotating assembly is arranged at the bottom of the protection box, and a camera is connected to the second rotating assembly. According to the invention, the pressure of the seabed can be measured through the pressure sensor, the reaching depth of the columnar sampler can be calculated through the pressure, and the sampling environment can be shot through the camera, so that the columnar sampler can be used for surveying the sampling place when being used, and a worker can conveniently carry out subsequent data test on the sample.

This invention discloses a low-altitude unmanned geochemical integrated geological exploration system and method. The system includes a geochemical exploration data processing unit, an in-situ geochemical robot, an unmanned aerial vehicle (UAV) geochemical sampling robot, and an UAV storage and flight control mobile operation unit. The method involves acquiring data on the exploration area and formulating a geochemical survey plan based on the data; the in-situ geochemical robot performs preliminary screening of geochemical data collection in the target area according to the survey plan and transmits the data to the geochemical exploration data processing unit; the geochemical exploration data processing unit processes and analyzes the preliminary screening data, delineates anomaly areas, and formulates a detailed geochemical survey design; the UAV geochemical sampling robot flies to the anomaly area and performs sampling and detection according to the detailed survey plan; the geochemical exploration data processing unit processes and analyzes all the geochemical data to obtain mineral-induced anomalies in the exploration area. This invention solves the problems of high reliance on manpower, high risk, low efficiency, high cost, and sparse geochemical data in traditional geochemical exploration.

A downhole tool system includes a bottom hole assembly that includes a connector; a laser head; a light source; a sensing assembly; and a controller. The connector is configured to couple to a downhole conveyance run into a wellbore to a reservoir rock formation. The laser head is configured to emit a laser beam toward the reservoir rock formation at a fixed frequency. The light source emitter is configured to emit a light beam toward the reservoir rock formation. The sensing assembly includes at least one optical receiver configured to (1) receive a reflected laser beam and a reflected light beam, and (2) interfere the reflected laser beam with the reflected light beam. The controller is configured to perform operations including generating a speckle interferogram based on the interference; and determining an angular displacement and an axial displacement of the wellbore based on the speckle interferogram.

The invention discloses a karst landform karst cave detection method and an underwater robot. The method comprises the following steps: 1) water entry and initial deployment; the invention relates to a three-dimensional karst cave navigation system which comprises the following components: 1) a three-dimensional karst cave construction module, 2) unpowered drifting navigation, 3) karst cave internal observation and data acquisition, 4) resistance meeting judgment and self-rescue control, 5) continuous drifting and path recording and 6) a three-dimensional karst cave construction module.The three-dimensional karst cave navigation system is compact in structure, waterproof, reliable and high in navigation precision, has the resistance meeting self-rescue capacity and the post-processing three-dimensional modeling capacity and is suitable for narrow and complex underwater environment detection.

A downhole tool system includes a bottom hole assembly that includes a connector; a laser head; a light source; a sensing assembly; and a controller. The connector is configured to couple to a downhole conveyance run into a wellbore to a reservoir rock formation. The laser head is configured to emit a laser beam toward the reservoir rock formation at a fixed frequency. The light source emitter is configured to emit a light beam toward the reservoir rock formation. The sensing assembly includes at least one optical receiver configured to (1) receive a reflected laser beam and a reflected light beam, and (2) interfere the reflected laser beam with the reflected light beam. The controller is configured to perform operations including generating a speckle interferogram based on the interference; and determining an angular displacement and an axial displacement of the wellbore based on the speckle interferogram.

The invention provides a complex geological area arch dam foundation rock mass engineering geology comprehensive evaluation and classification method, which comprises the following steps: carrying out multi-dimensional exploration investigation on a dam site rock mass structure to obtain a rock mass structural surface and rock mass structure division data; an existing structural surface grading standard serves as a preliminary grading reference standard, and a structural surface grading scheme in the dam site area under the complex geological condition is formed in combination with a dam site rock mass structural surface and rock mass structure division data; and evaluating and classifying the rock mass exposed by each adit in each exploration line to obtain the quality of the engineering geological rock mass. According to the method, rock mass structural plane information and rock mass structural data are obtained from multiple dimensions, a structural plane grading scheme in a complex geological area is formed in combination with an existing structural plane grading standard, and dam foundation rock mass engineering geology is analyzed and evaluated according to the scheme, so that geological condition support is provided for construction of a dam foundation infrastructure plane.

The application discloses a sandstone type uranium mine recharge-discharge information identification method and device, and the method comprises the following steps: determining the recharge area of the sandstone type uranium mine according to the spectral information of a remote sensing image and / or the elevation information of a digital elevation image; determining the discharge area of the sandstone type uranium mine according to the greenness information and humidity information of the remote sensing image and / or the water body information distributed in a surface or line shape on the remote sensing image; and determining the runoff area of the sandstone type uranium mine according to the recharge area and the discharge area of the sandstone type uranium mine. The recharge area of the sandstone type uranium mine is determined through the processing of the remote sensing image and the digital elevation image, and then the discharge area of the sandstone type uranium mine can be determined based on the remote sensing image; finally, the runoff area of the sandstone type uranium mine is determined according to the recharge area and the discharge area, that is, the recharge area, the discharge area and the runoff area of the sandstone type uranium mine can be quickly and effectively identified, the blindness and the cost of exploration are greatly reduced, and the success rate of exploration is improved.

The utility model discloses an adjustable support type hyperspectral remote sensing surveying device, which belongs to the field of remote sensing surveying and comprises a middle shaft rod, the top of the middle shaft rod is detachably connected with a hyperspectral instrument through a holder, the side surface of the holder is hinged with a support leg through a hinged support, and the support leg can be unfolded at different angles through an umbrella rib type support component on the middle shaft rod. The bottom of the supporting leg is provided with a supporting leg mechanism capable of adapting to different terrains to conduct state switching, the supporting leg mechanism comprises a support detachably installed at the bottom of the supporting leg, the support is rotationally connected with a shaft seat, and the shaft seat is provided with a universal wheel and a foot support through two connecting pieces which are coaxially arranged correspondingly; and a limiting assembly for positioning the shaft seat is arranged on the shaft seat. According to the adjustable supporting type hyperspectral remote sensing survey device, the roller and the kickstand can be switched according to different requirements through the kickstand mechanism, so that different use requirements are met.

The invention discloses a cobalt ore prospecting method and system based on spectral absorption depth, and belongs to the new technical field of spectral prospecting methods and mineral product prediction. The method comprises the following steps: acquiring short-wave infrared hyperspectral data of a to-be-detected area to-be-selected research object through an image sensor and an intelligent sensing system, performing continuous spectrum removal processing, and extracting mechanism sensitive wave band absorption band depth parameters; constructing a cobalt ore spectrum diagnosis index based on the parameters, and performing inversion on the cobalt element enrichment intensity to form a continuous response field; introducing the response field into a space potential field model to carry out gradient analysis, and revealing enrichment abnormal space convergence characteristics; according to the method, multi-source response information is fused in combination with local space continuity constraints, intelligent identification, prediction, accurate positioning and quantitative exploration of cobalt mineralization abnormity under a complex geological background are realized, and the problem that a traditional remote sensing method is insufficient in ability of identifying concomitant class isomorphic hidden mineralization is solved; the method has the advantages of high recognition degree, accurate positioning prediction, accurate quantitative prediction, wide applicability and the like.

A multispectral imaging system is trained by the application of an unlabelled multispectral image. Artificial labels are added to each image at corresponding wavelengths of the unlabelled multispectral image in view of training a machine learning system. Spatial and then spatial-spectral features of the multispectral images are extracted in successive training phases. The trained machine learning system may then be used to detect biomarkers or other artefacts in a multispectral image by splitting the multispectral image into distinct wavelength-images, applying masks to the wavelength-images to obtain pixel groups, applying statistical calculation to the pixel groups, assembling statistical calculation results into feature vectors, and using the trained machine learning system to extract, from the feature vectors, positive or negative indications related to the presence of biomarkers of other artefacts in the multispectral image. The machine learning system may be retrained upon processing of each subsequent multispectral image.

The application provides a mine underground environment safety evaluation method and system based on real-time seismic data, relates to the technical field of mine safety management, generates a preliminary mine influence range by analyzing the influence of an earthquake on a mine; extracts ground displacement and crack information from video data, marks a local abnormal area and calculates a local abnormal damage level; corrects the local abnormal damage level through seismic wave propagation analysis; calls a risk evaluation model to perform static risk evaluation on the mine and generates a static risk evaluation result; and performs fusion risk evaluation in combination with the preliminary mine influence range, the locally corrected damage level and the static risk evaluation result, generates a risk evaluation value and performs safety early warning. The application solves the technical problems that the prior art cannot timely and accurately reflect the dynamic evolution process and local damage of the influence of an earthquake, leading to insufficient risk identification precision and lagging early warning response, and significantly improves the local risk identification precision and early warning accuracy.

Embodiments presented provide for use of fiber optics within the wellbore environment. Embodiments further provide selection of optimal gauge length of fiber optics in hydrocarbon recovery operations, carbon capture and sequestration operations, or geothermal applications. The method includes obtaining data from optical fibers, processing the data using a fixed gauge length, estimating an apparent velocity using the fixed gauge length through an autonomous computing arrangement, estimating a source bandwidth from the apparent velocity through the autonomous computing arrangement to produce a result, establishing a variable gauge length and reference profile for the result, and processing the obtained data with the established variable gauge length to yield a processed optical data set.

The present invention relates to a geological mapping method. The method includes receiving scan data relating to a geological structure. The data is processed to determine one or more regions of interest. The method further includes displaying a geo-spatially accurate map of the geological structure showing the regions of interest. Advantageously, the map showing the regions of interest may be rapidly generated, without the need for manual review and adjustment by a geologist. The mapping method may be accurate, consistent and repeatable without the need for manual review and adjustment by a geologist.