166 results about "Electrical imaging" patented technology

The invention is a method and apparatus for determining an electrical property a formation surrounding a borehole with a measuring-while-drilling device. The apparatus an antenna configuration disposed along the outer face of an extendable stabilizer joined to a rotatable drill collar. Typically, two receivers and two transmitters are spaced along the longitudinal axis of the drill collar, with the two receivers spaced symmetrically in between the two transmitters. Alternatively, receivers and transmitters can be spaced along the circumference, possibly over multiple stabilizers. Multiple assemblies can be used. Data can be obtained with the transmitter-receiver assembly held in a stationary position or rotating circumferentially. Apparatus can be operated in a “broadside” configuration, an “endfire” configuration, or a configuration in which transmitter coils and receiver coils are oriented orthogonally to each other.

The present invention describes a method and apparatus to localize the electrical signals measured from a subject's scalp surface, preferably in near-real time, and to generate dynamic three-dimensional information of the electrical activity occurring within the cerebral cortex of the brain. In the preferred embodiment, it can produce images that can be immediately inspected and analyzed by an operator in near-real time, resulting in a powerful new cortical imaging modality, which we denote as Dynamic Electrocortical Imaging (DECI). The present invention involves the use of a computer, an electroencephalographic (EEG) amplifier, EEG electrodes, and custom software. It can measure healthy and diseased cortical events and states in both conscious and unconscious subjects. This is useful, as it allows for the diagnosis, monitoring and treatment of cortical disorders, while also furthering the understanding of the human brain and lending use to additional non-medical applications such as in entertainment, education, lie-detection and industry. The invention in one embodiment is implemented using software in conjunction with readily available EEG hardware. Furthermore, this same method can be applied to pre-existing data and when doing so, EEG hardware is not required. Having a practical near-real time 3D imaging system brings a far more accessible technology to doctors, researchers, individuals, and private clinics to better diagnose, monitor, treat and understand many of the conditions and abnormalities of the brain.

The invention is a method and apparatus for determining an electrical property a formation surrounding a borehole with a measuring-while-drilling device. The apparatus an antenna configuration disposed along the outer face of an extendable stabilizer joined to a rotatable drill collar. Typically, two receivers and two transmitters are spaced along the longitudinal axis of the drill collar, with the two receivers spaced symmetrically in between the two transmitters. Alternatively, receivers and transmitters can be spaced along the circumference, possibly over multiple stabilizers. Multiple assemblies can be used. Data can be obtained with the transmitter-receiver assembly held in a stationary position or rotating circumferentially. Apparatus can be operated in a “broadside” configuration, an “endfire” configuration, or a configuration in which transmitter coils and receiver coils are oriented orthogonally to each other.

An on-vehicle video camera includes an imaging unit which converts image light into an electrical imaging signal to output the imaging signal as a video signal in a predetermined format, a light emitting unit for lighting an imaging area of the imaging unit, and a control unit for controlling the imaging operation of the imaging unit and the lighting operation of the light emitting unit so as to be operably synchronized with each other. The light emitting unit includes a unit for emitting infrared light in a predetermined band. The imaging unit does not filter out an infrared signal component in the predetermined band which is contained in the imaging signal. The imaging unit and the light emitting unit are housed by a housing which forms an outside mirror of a vehicle.

The present invention discloses a morphological filtering-based electrical imaging reservoir fracture and cave body quantitative characterization method and system. The method includes the following steps that: 1) noise suppression and blank band encryption interpolation are performed on original electric imaging logging data to obtain full-coverage rate electrical imaging logging data; 2) structural elements of appropriate shapes and scales are selected, and morphological filtering is performed on the obtained electrical imaging logging data in the step 1), so that fracture and cave pore distribution of different scales can be determined; and 3) the proportion of the porosity of fractures and the proportion of the porosity of corroded caves are calculated according to the fracture and cave pore distribution of different scales, so that a fracture and cave porosity spectrum which can indicate pore throat size and porosity distribution relationships can be obtained. According to the method of the invention, a mathematical morphological filtering method is introduced into imaging logging data processing; based on the filtering and anomaly recognition technologies of conductivity signals of different scales, the signal-to-noise ratio and identifiability of fracture and cave abnormal signals are improved; and exact information such as intuitive fracture and cave shapes and scale distribution can be provided for the processing and interpretation of electrical imaging logging data.

The invention belongs to the technical field of electronic technologies and photoelectronic imaging technologies, in particular relates to a single-photon avalanche diode and a three-dimensional CMOS (Complementary Metal Oxide Semiconductor) image sensor based on the diode. The single-photon avalanche diode of the invention improves the traditional rectangular photosensitive PN junction into a regular octagon and can conveniently and simply weaken edge breakdown and improve gain uniformity. A two-dimensional pixel array of the three-dimensional CMOS image sensor based on the diode comprises unit pixels of the regular octagon-shaped single-photon avalanche diode and is arrayed in a honeycomb-shape, thereby being convenient for interpolation and improving resolution in horizontal and vertical direction.

This invention provides a sensor with a double mode electric imaging system, in which, the radial section structure of the sensor is composes of three layers, the outside is a metal tube layer, the middle is an insulation substance layer and the inside structure layer is composed of multiple electrodes distributed on a same circle and adhered on the insulation substance layer and realizing the synchronous measurement of the actual and virtual parts of impedance, insulation substances are filled in slits between adjacent electrodes, the longitudinal sectional structure of the sensor is designed as an electrode array realizing synchronous measurement to the actual and virtual parts of the tube section impedance, besides, a method is provided for re-structuring two kinds of images based on the sensor to expand the sphere and accuracy of the measurement of the current ERT and ECT system.

The invention discloses a method for identifying a reservoir by combining electrical imaging and a reef geologic model, and belongs to the technical field of marine carbonatite well logging interpretation. The method comprises the following steps of: selecting a carbonatite reef reservoir sedimentary facies model according to a reef reservoir sedimentation model; establishing the correspondence between the reef reservoir sedimentation model and an electrical imaging well logging image characteristic based on an electrical imaging well logging image; establishing an electrical imaging image library of a standard reservoir of the carbonatite reef reservoir; performing rock structure characteristic-based image dynamic enhancement contrast according to images in the electrical imaging image library; and determining a part of a reef phase reservoir, through which a well runs, based on a typical image of an electrical imaging reef phase, and comparing with a typical image of a favorable reservoir to determine the quality of the reservoir. The method greatly improves the coincidence rate of well on-site interpretation and test oil, and is fully applied to various related oil fields in China.

The invention discloses a four-quadrant reservoir stratum type identification method and system, wherein the four-quadrant reservoir stratum type identification method comprises the following steps: selecting a core sample, and acquiring the mud filtrate specific resistance and electrical imaging logging information of a well corresponding to the core sample; performing CT scanning imaging on the core sample to generate a CT imaging pore distribution spectrum of the core sample; according to the mud filtrate specific resistance and the imaging logging pixel conductivity, computing an electrical imaging porosity spectrum of the well corresponding to the core sample by utilizing the Archie's formulas; calibrating the electrical imaging porosity spectrum corresponding to a stratum segment by utilizing the CT imaging pore distribution spectrum, and computing the mean value and distribution variance of the calibrated electrical imaging porosity spectrum; performing standardized treatment on the mean value and distribution variance of the calibrated electrical imaging porosity spectrum to generate the standard mean value and distribution variance of porosities; forming a two-dimension plane by the standard mean value and distribution variance of porosities, wherein the standard mean value of porosities is the abscissa axis, and the standard distribution variance of porosities is the ordinate axis; and identifying the reservoir stratum type according to the two-dimension plane.

The invention provides a method and a device for automatically extracting image features of electric imaging logging, wherein, the method comprises the following steps: acquiring historical data of electric imaging logging; Pre-processing the historical data of electric imaging logging to generate the electric imaging logging image covered by the whole wellbore; The typical geological features areidentified and marked in the electric imaging logging images covered by the whole borehole, and the processed images are obtained, and the processed images are determined as training samples according to the geological feature types. Constructing a depth learning model, the depth learning model comprising an input layer, a plurality of hidden layers and an output layer; Using training samples totrain the depth learning model; The trained depth learning model is used to identify the geological feature types of the electric imaging logging images of the well sections to be identified, and themorphological optimization processing is carried out on the recognition results to obtain the feature optimization recognition results. This scheme can automatically, quickly and accurately identify the typical geological features in electrical imaging logging images.

The invention relates to a laser focused ultrasound excitation magnetic acoustoelectric imaging method and device. A laser beam subjected to beam expanding irradiates a carbon nanotube photoacoustic enhancement medium; focused ultrasound is generated; the focused ultrasound and a static magnetic field mutually act in a bioimaging body to generate a local electric field source; and a receiving coil or an electrode detection signal is used for rebuilding a biological tissue conductivity image. The laser focused ultrasound excitation magnetic acoustoelectric imaging device comprises a laser focused ultrasound excitation module, a coupling module, a detection and rebuilding module and a control and synchronization module, wherein the laser focused ultrasound excitation module generates controllable focused ultrasound with high pulse, high frequency and small focal spot; and the coupling module realizes the multi-physics coupling of the focused ultrasound, a target imaging body and electromagnetic excitation. The detection and rebuilding module realizes the detection on weak electric signals and the rebuilding on the target imaging body; and the control and synchronization module realizes the control and synchronization of the whole device.

The invention discloses a multiple ring electrode array imaging sensor. The sensor is located in two-phase fluid and does not contact with the inner wall of a measurement pipe. The sensor is mainly used to perform electrical imaging to multiphase fluid runner cross-sections with large conductivity difference and measure the component content of each phase. The sensor of the invention comprises measurement electrodes, a supporting arm and a supporting shaft, wherein the measurement electrodes are arranged on the supporting arm and the supporting shaft and on different circumferences with the same center of the supporting shaft in a radial manner; and different wires are led to the measurement electrodes, the measurement electrodes are independent, the measurement electrodes are insulated from the supporting arm and the supporting shaft, and the flow channel of liquid to be measured is a circular channel between the supporting shaft and the pipe wall. The structure of the invention breaks through the non-invasive traditional model of tomography, thus effectively reducing the influence on limiting the soft field effect of tomography; and multi-state measuring mode can be adopted, the local distribution information of components in each phase of multiphase fluid on the entire pipe or pipe cross section can be determined, the measurement accuracy is high, and the reliability is good.

The invention relates to a beach bar structure unit discrimination method under the constraint of a geological model. The development process of a beach bar is divided into four stages, and five sedimentary structure units are subdivided. The correspondence between four stages and five units is determined. Twelve electrical imaging modes corresponding to five structure units are set up. The conventional logging curve characteristic of each structure unit is summarized. A conventional logging curve with strong sensitivity is selected through a cross plot analysis method. According to a Bayes discrimination method in discrimination analysis and according to the mutual superimposition relationship between the sedimentary units in a vertical profile, the sedimentary type and the evolution stage of the beach bar are determined. According to the invention, the reasonable and effective constraint of the geological model is used; the electrical imaging modes and the conventional logging curve characteristic of each structure unit of the beach bar are combined; according a Bayes discrimination principle, the conventional logging curve with strong sensitivity is selected to establish a discrimination formula; on the basis of the discrimination formula, calculation is carried out; the structure units are accurately and rapidly identified; and the discrimination accuracy is improved.

The invention provides a quantitative identification method of fractures and caverns based on core analysis and electrical imaging logging. The quantitative identification method comprises the following steps: calculating parameters of the original hole, caverns and fractures in the coring section according to the core and electric imaging logging data; acquiring marks to identify fractures and caverns by imaging logging through core calibration to obtain fracture and cavern parameters and empirical correction value DeltaX; correcting the parameters of fractures and caverns of the non-coring section of the single well with the empirical correction value, using the average value of the empirical correction value of the neighboring well as the empirical correction value for correcting for the non-coring single well; acquiring the parameters of fractures and caverns every meter of the target layer of each single well, and the fracture and cavern rate that is the sum of the lattice-method fracture and cavern rate and the rock plug rate and the full-diameter fracture and cavern rate, to establish a data base of the fracture and cavern parameters; comprehensively analyzing the acquired parameters of holes, fractures and caverns. Combined with three-dimensional geological modeling technology and connecting-well profile comparison method, the development and distribution law of the holes, caverns and fractures are accurately quantitatively identified and assessed.

The invention discloses an electrical imaging logging image stratum attitude identification method. With the actually measured micro-resistivity imaging logging data acting as the basis, the generated imaging logging dynamic images are preprocessed, edge preserving smooth filtering is performed on the preprocessed images, and then pole plate image local direction estimation, sine curve fitting based on the tangent value and bedding interface detection fine processing and optimization processing based on the optimization technology are performed so that an electrical imaging stratum attitude pick-up processing result map is obtained, and the stratum attitude is identified according to the electrical imaging stratum attitude pick-up processing result map. A full-well-section stratum attitude automatic pick-up method is provided by applying the image processing related technology so that errors caused by artificial pick-up work can be avoided, and interpretation efficiency can also be enhanced.

The invention relates to a capacitive tomography image reconstruction method based on a closed-loop control principle. The method mainly comprises the following steps of firstly, obtaining N(N-1) / 2 independent measurement values under an empty field condition and N(N-1) / 2 independent measurement values under the condition that an object exists through measurement by utilizing a capacitive tomography imaging system, and establishing an N*N capacitive variation matrix by utilizing a difference between the two types of the independent measurement values; secondly, taking a Calderon algorithm as acontrolled object, solving a new capacitive variation matrix by utilizing dielectric constant distribution inversely derived by the algorithm to serve as a negative feedback, and correcting a deviation value of capacitive variation by adjusting parameters of a PID controller, thereby enabling a whole closed-loop to be converged; and finally, if the number of iterations reaches a preset number ofiterations, ending the iteration and outputting a reconstruction result, otherwise, continuing the iteration. According to the method, the closed-loop control principle is combined with the Calderon algorithm for the first time, so that an image reconstruction error can be effectively reduced and the image reconstruction quality is remarkably improved; and the method has important practical valuesand good application prospects in the field of electrical imaging.

The invention discloses a method and a wave absorbing device for realizing broadband light absorption enhancement based on an ultrathin metal film, and belongs to the field of micro-nano optics and metamaterial. The structure of the device is sequentially composed of a metal substrate, a T-shaped photoresist microstructure and an ultrathin metal film layer wrapping the T-shaped photoresist microstructure. When incident light irradiates the surface of the device, by means of the surface plasmon resonance effect excited by the metal microstructure array, optical wave electric fields with different wavelengths are highly localized and enhanced on the surfaces of different parts of the T-shaped metal microstructure array, and the size and depth of the T-shaped microstructure are adjusted and optimized to achieve impedance matching. and broadband light absorption enhancement can be realized in the whole visible light band. Besides, the method and the device provided by the invention have very high structure preparation tolerance, are insensitive to incident light polarization state and incident angle change, are beneficial to low-cost preparation, and have extremely high application value in the fields of photoelectric detection, photo-thermal conversion, solar cells, photoelectric imaging, optical stealth and the like.

The invention provides an automatic identification method and device of an electrical-imaging logging facies. The method includes: acquiring electrical-imaging logging history data; pre-processing theelectrical-imaging logging history data, and generating electrical-imaging logging images of full borehole coverage; identifying typical imaging logging facies in the electrical-imaging logging images of full borehole coverage, and determining the the electrical-imaging logging images of full borehole coverage as training samples according to imaging logging facies classes to which the same belong; constructing a deep learning model, wherein the deep learning model includes an input layer, a plurality of hidden layers and an output layer; using the training samples to train the deep learningmodel to obtain a trained deep learning model; and using the trained deep learning model for logging facies identification on an electrical-imaging logging image of a to-be-identified well segment. According to the scheme, imaging logging facies types of all segments can be automatically and accurately identified, and thus distribution laws of reservoirs can be better studied and predicted.

The invention provides a magnetosonic electric imaging method and a magnetosonic electric imaging device adopting electromagnetic focusing ultrasonic excitation. According to the method and the device, an electromagnetic excitation source transmits an excitation signal through an electrode, the excitation signal acts to an ultrasonic enhanced medium, then focused ultrasound is generated on the ultrasonic enhanced medium, the focused ultrasound acts to a target imaging body, under the effect of an externally applied static magnetic field, separation of positive and negative charges is generatedin an action area of the target imaging body, and a local electric field source is formed in the target imaging body. After a detection coil or a detection electrode receives an electric signal, an electric parameter image of the target imaging body is reestablished by adopting a reconstruction algorithm. In the magnetosonic electric imaging device provided by the invention, an electromagnetic focusing ultrasonic excitation module is connected with a coupling module through coupling liquid, the coupling module is positioned in a water tank, the coupling module is connected with a detection and reconstruction module through the detection coil or the detection electrode, and a control and synchronization module is connected with the electromagnetic focusing ultrasonic excitation module andthe detection and reconstruction module.

The embodiments of the present invention provide a stratum matrix resistivity determination method and device. The method includes the following steps that: the electrical imaging data and first welllogging data of a stratum in a target area are acquired; a first resistivity imaging image is determined according to the electrical imaging data and the first well logging data; interpolation processing is performed on the first resistivity imaging image to obtain a second resistivity imaging image; and the stratum matrix resistivity curve of the target area is determined according to the secondresistivity imaging image. According to the stratum matrix resistivity determination method and device of the embodiments of the present invention, on the basis of the features of the imaging data, the imaging data and the first logging data are combined, so that the first resistivity imaging image can be determined; by means of interpolation processing, the first resistivity imaging image is interpolated and repaired, so that the second resistivity image can be obtained; and therefore, the stratum matrix resistivity curve can be obtained. With the stratum matrix resistivity determination method and device adopted, the technical problem of the poor accuracy of stratum matrix resistivity determined by an existing method can be solved.

The invention discloses a method for identifying attitude of a stratum and an inversion method of stratum parameters. The methods include the steps of obtaining Well-logging curves on each counter electrode of an electrical imaging device; conducting pre-hierarchy on each composite log to obtain a pre-hierarchy interface location of each Well-logging curve; successively choosing depth segments containing pre-hierarchy interfaces as reference segments, conducting a correlation contrast on the Well-logging curves on other counter electrodes to obtain an effective layer interface of each Well-logging curve; ranking the effective layer interfaces of the Well-logging curves on all counter electrodes by depth, obtaining a stratum interface and calculating attitude information. Further more, based on the stratum hierarchy, a forward model is formed by combining the information of dual laterolog; by inversion, mud invasion depth and specific resistance of invaded zones and undisturbed zones are obtained. The stratum interface extracted by the methods matches with logging images pretty well, the attitude information is more precision, and the stratum parameters obtained by inversion can achieve quantitative description of invasion features of mud.

The invention relates to an electrical imaging well measuring device with emitting and reflowing inside an electrode plate and method. The device comprises the electrode plate, emitting electrodes, bucking electrodes and two reflowing electrodes. The electrode plate is used for clinging to the surface of the measured well wall and serving as a carrier of the emitting electrodes, the bucking electrodes, the reflowing electrodes and an insulator. The emitting electrodes are used for emitting currents to a stratum. The bucking electrodes are distributed around the emitting electrodes and play a role in focusing on current emitting. The two reflowing electrodes are symmetrically arranged at the two ends of the electrode plate and play a role in current reflowing. The device further comprises a current measuring device used for measuring the current changes of the emitting electrodes, a high-frequency alternating current power supply used for supplying high-frequency alternating currents to the emitting electrodes and a signal processing device used for generating a well wall imaging picture. The measuring device can measure the well wall more accurately and with higher resolution.

An apparatus and method for estimating a resistivity property of an earth formation involving electric current injected into a wall of a borehole. The apparatus includes a first electrode, a second electrode, and a differential amplifier. The first electrode may be configured to impart an electric current into a borehole wall and be directly connected to a first input of the differential amplifier. The second electrode may be directly connected to a second input of the differential amplifier. The method may also include a summing circuit connected to the output of the differential amplifier. The method includes estimating a resistivity property using the output of the differential amplifier or the summing circuit.

The invention discloses an optical fiber Raman spectrum gas analysis device, which belongs to the technical field of gas analysis, and comprises a laser, a light beam coupling device, a gas sample chamber, a collimation beam splitting device and a photoelectric imaging receiving device, wherein the light beam coupling device couples the laser into the gas sample chamber; the laser reacts with gasto be detected in the fiber core of the hollow-core optical fiber to generate Raman scattering; the collimation beam splitting device collimates the mixed light beams and then separates out laser, andtransmits the light beams only containing scattering signals to the photoelectric imaging receiving device; and the photoelectric imaging receiving device performs digital spatial filtering on the forward scattering signal to obtain a Raman spectrum of the to-be-detected gas. To-be-detected gas reacts with laser in the hollow-core optical fiber to generate an enhanced Raman scattering signal, thephotoelectric imaging receiving device is used for collecting forward signals and implementing digital spatial filtering, so that background signals of the gas sample chamber are reduced, the problemthat trace components are difficult to detect in Raman gas analysis is solved, and the detection sensitivity of the system is improved.

The invention relates to an oil-in-water emulsion oil holdup distribution electrical imaging measurement method. A sensor used in the invention comprises multi-path conducting probe sensors placed in the positions of multiple concentric rings in afflux measurement pipes with small pipe diameters in distributed states, and each conducting probe sensor comprises an excitation source probe and a receiving source metal sleeve, wherein the first ring comprises first-path conducting probe sensors, and the conducting probes sensor located on the concentric rings are all uniformly distributed; while measuring, output signals of each path conducting probe sensor are collected, original measurement signals are converted into corresponding square wave signals by using a self-adjustment double-threshold method, the square wave signals are taken as signals to be processed and calculated to obtain the local oil holdup, and later, a cubic spline interpolation algorithm is reused to carry out three-dimensional imaging on pipeline cross-section oil holdup distribution so as to reconstruct distribution behaviors of oil-in-water emulsion oil holdup on a pipeline cross section under the effect of a surfactant.

Systems and methods for rails and obstacles detection based on forward-looking electrooptical imaging, novel system architecture and novel scene analysis and image processing are disclosed. The processing solution utilizes a deep learning semantic scene segmentation approach based on a rails and switches states detection neural network that determines the railway path of the train in the forward-looking imagery, and an objects and obstacles detection and tracking neural network that analyzes the vicinity of the determined railway path and detects impending obstacles.

The invention discloses an electrical imaging logging fractal dimension based volcanic lithological character identification method. The method mainly includes five parts including importing cored interval imaging logging data, performing logging data filtering and signal enhancement, performing threshold segmentation and skeleton information extraction, determining fractal dimension range of different lithological characters and performing fractal dimension calculation of an uncored interval, and importing uncored interval imaging logging data and performing fractal dimension calculation forlithological character identification. According to the invention, through data treatment, fractal dimension calculation and the like of electrical imaging logging, automatic identification of lithological characters of the uncored interval can be realized. Uncertainty caused by a traditional naked eye observation method is eliminated to a certain degree and lithological character identification precision and rate are improved. At the same time, the invention also brings new ideas for logging identification of rocks of other types.

The invention discloses a preparation method of an aluminum oxide anti-ion feedback film of a micro-channel plate. According to the technical scheme, a room-temperature gallium-based liquid alloy is used as a solvent; high-purity aluminum powder is added into the room-temperature gallium-based liquid alloy to form a room-temperature aluminum-containing gallium-based liquid alloy; the room-temperature aluminum-containing gallium-based liquid alloy is exposed in an air environment to form a sub-nano aluminum oxide film on a liquid alloy-air interface, the input surface of the micro-channel plateis in contact with the aluminum oxide film, and the high-quality sub-nano aluminum oxide anti-ion feedback film is prepared on the micro-channel plate. Ion feedback of the micro-channel plate can beprevented, the service life of a photoelectric imaging device is prolonged, and the imaging background is improved. The method has the advantages of being simple, low in cost, free of thin film deposition equipment and the like.

The invention relates to an efficient light absorption device based on structural symmetry breaking. The device comprises a substrate (1), a grating (2) and an absorption material (3); the grating (2)comprises a grating layer and a film layer, the grating layer is located on the film layer, the absorption material (3) is arranged between the film layer and the substrate (1), and a notch groove (4) is formed in the film layer between grids, so that the grating (2) is broken symmetrically. The efficiency light absorption device based on structural symmetry breaking can realize high-efficiency graphene light absorption, also has very high structure preparation tolerance, angle tolerance and refractive index sensing functions, and has a very good application prospect in the fields of photoelectric detection, photo-thermal conversion, photoelectric imaging, optical filtering, fluorescence spectrum, biosensing and the like.