425 results about "Wave impedance" patented technology

The invention provides a distribution line fault location optimization method based on single-ended traveling wave location, and relates to the technical field of traveling wave detection. The method comprises the following steps: carrying out segmented modeling on a line, calculating the traveling wave propagation speed and wave impedance of each segment, and correcting the traveling wave propagation speed and wave impedance; collecting a voltage / current traveling wave signal of a detection point, and extracting a line mode component; performing wavelet transformation on the line mode component, detecting the wave head position of the initial traveling wave through a modulus maximum search algorithm, and recording the arrival time of the initial traveling wave, a corresponding first energy value and polarity; calculating a reflected wave time window based on segmented modeling parameters, screening reversed polarity waves with qualified energy attenuation, and calculating a fault distance; if no effective reflected wave is detected in the reflected wave time window, triggering a pseudo double-end mode; a result is verified through quadruple constraints; the problems of poor parameter adaptability, low signal processing precision, strong reflected wave dependence and incomplete verification in traveling wave distance measurement of a complex distribution line are solved, and the accuracy and reliability of fault distance measurement are improved.

The invention discloses a rubber product quality detection method and system, and relates to the related technical field of rubber quality detection.The method comprises the steps that rubber products are conveyed to a target detection table, and data acquisition of the rubber products is executed; inputting the wave impedance distribution data and the surface heat distribution gradient field into a defect causal atlas channel to execute phase inversion fusion processing, establishing a cross-modal coupling phase tensor, and identifying deep defect response characteristics by solving a phase difference matrix; activating a pressure spectrum sensing unit to apply control pressure, reading a local mechanical response spectrum, sending the local mechanical response spectrum to a cross-modal calibration layer, and executing joint error authentication; and performing quality detection report according to a self-calibration defect mapping result. The technical problems that in the prior art, multi-modal sensing data fusion efficiency is low, deep defects are difficult to comprehensively recognize, and consequently the quality detection precision and reliability of rubber products are insufficient are solved, and the technical effects that cross-modal cooperative detection is achieved, and the precision and reliability of defect recognition results are improved are achieved.

The invention discloses a novel noise HV spectrum ratio imaging method based on polarization. The method comprises the following steps: collecting background noise data in a predetermined monitoring area; preprocessing the acquired background noise data, wherein the preprocessing comprises data format conversion, data splicing, mean value removal, trend removal, waveform pinching and band-pass filtering processing; preprocessed data are processed by adopting a polarization analysis technology, a wave field is separated by setting a threshold value and analyzing a power spectrum, and a background noise area is divided into a linear body wave component and a nonlinear surface wave component. According to the polarization-based noise HV spectrum ratio imaging method, the precision and efficiency of underground structure analysis are remarkably improved through the precise separation of the wave field and the automatic processing flow of the HV spectrum ratio, and by means of polarization analysis optimized data processing, the automatically generated frequency and depth profile and the automatically picked excellent frequency and peak value, the imaging precision and efficiency of the underground structure are greatly improved. And the analysis of the underground velocity structure and the wave impedance interface is more accurate.

The invention discloses an optical cable capable of being remotely inspected and a preparation method and application thereof, and belongs to the technical field of optical cable preparation, the optical cable comprises an optical unit, an electric unit and an outer sheath, the optical unit is arranged in a containing space of the outer sheath, the electric unit is connected with the outer sheath, the arrangement direction of the electric unit is parallel to the axis of the outer sheath, and the optical cable is arranged in the containing space. And the positive excess length of the electrical unit relative to the outer sheath is 0.05%-0.8%. According to the optical cable capable of being remotely inspected, when the optical cable is coated with ice, the electric unit and the outer sheath are synchronously stretched, the electric unit cannot be stretched and thinned due to the existence of the positive excess length, after the stretched length of the outer sheath makes up the excess length of the electric unit, the electric unit is stretched along with the outer sheath, and the increase of wave impedance of the electric unit can be detected through a TDR detection technology; an optical cable maintainer can maintain the optical cable in advance when the wave impedance of the electric unit is increased, the ice on the surface of the optical cable is removed, and the problem of cable breakage caused by continuous accumulation of ice and snow is avoided.

The invention relates to an ultra-high voltage line lightning resistance level evaluation method and device based on a tower head gap structure. The method comprises the following steps: constructing a simulation model according to line structure information and electrical parameters of an extra-high voltage line and tower structure information of a power transmission tower; inputting lightning current waveform parameters and lightning channel wave impedance parameters of the extra-high voltage line into the simulation model to obtain voltage distribution information and current propagation characteristic information of the extra-high voltage line under a lightning stroke condition; flashover criterion information is determined according to the insulator string discharge voltage characteristic information and the tower head air gap breakdown voltage characteristic information of the extra-high voltage line; and according to the voltage distribution information, the current propagation characteristic information and the flashover criterion information, determining a lightning resistance level evaluation result. By adopting the method, the influence of the breakdown characteristic of the tower head air gap, the complexity of the tower structure and the dynamic characteristic of lightning current propagation on the lightning resistance level evaluation can be comprehensively considered, and the accuracy of the lightning resistance level evaluation result of the extra-high voltage line is improved.

According to the double-end traveling wave distance measurement wave head calibration method and device suitable for the power distribution network and the medium, a proper wavelet high-frequency component is selected through a characteristic frequency band, and a proper mode extreme point is calibrated to serve as initial estimation of a wave head starting point; constructing a smooth threshold value on the low-frequency component corresponding to the characteristic frequency band based on the preliminary estimation and the hard trigger point; a more accurate wave head starting point is obtained through the self-adaptive smooth threshold value search; and finally, calculating the position of a fault point according to a double-end traveling wave fault location formula. The invention provides a novel principle and method for completing coordinated point marking by taking waveform break point calibration of a wave head as wave head starting point calibration and fully utilizing appropriate-scale high and low frequency components of a wavelet domain, and practices prove that the novel calibration principle and method are not easily influenced by traveling wave attenuation, distortion and noise interference caused by traveling wave dispersion and wave impedance; and meanwhile, the problem of low calibration precision caused by inconsistent wave head characteristic frequency spectrums of the traveling waves at the two ends can be solved.

The invention provides a coal mine fluidized mining dynamic disaster prevention and control method and system, and relates to the technical field of disaster prevention and control. The method comprises the following steps: establishing a risk map based on mining area multi-field information, setting a seismic source intensity upper limit, a path attenuation target and an energy absorption displacement target, implementing in-situ transformation under the constraint of a control index to form a distributed micro-fracture network, and calculating a residual dynamic load spectrum to weaken a seismic source; according to the residual dynamic load spectrum, constructing an artificial barrier and an energy absorption band with wave impedance abrupt change so as to realize propagation energy reduction; a flexible energy absorption protection system is configured according to the residual dynamic load spectrum and the propagation attenuation coefficient, micro-seismic, stress and displacement data are monitored in real time, and parameter self-adaptive correction is achieved through linkage treatment triggered by a threshold value. According to the method, a source-diameter-field integrated active prevention and control system is constructed, dynamic regulation and control and closed-loop management in the fluidized mining process are achieved, and the intrinsic safety and the intelligent level of deep mining are remarkably improved.

The invention discloses a semantic tag generation method based on a power grid engineering corpus, particularly relates to the technical field of power grid system fault analysis, and is used for solving the problem that the existing semantic tag technology cannot accurately represent dynamic association and physical propagation paths of composite events. Equivalent traveling wave propagation delay of an event entity is extracted based on an electromagnetic transient waveform, and a sequential relation graph is constructed to restore a fault dynamic evolution process; establishing a physically interpretable causal chain hierarchical structure through equipment topology path matching and wave impedance gradient difference analysis; a gradient clustering algorithm is adopted to adaptively adjust label granularity confidence, noise interference is eliminated, and a key propagation path is reserved; and finally outputting a versioned label set fusing the dynamic causal chain, the traveling wave propagation time delay and the equipment physical association path, and forming a closed-loop modeling mechanism of event space-time association and equipment topology linkage.

The invention relates to the technical field of lightning current measurement, in particular to a wireless measurement method for a high tower wave impedance real-model test. According to the technical scheme, the method comprises the steps that a three-dimensional model with the size proportion of 1: 1 to an actual tower is established in simulation software based on structural parameters of the actual tower, and the model is segmented; and applying a standard lightning current signal to the tower top of the three-dimensional model in simulation to obtain a simulation voltage value of each section of tower. A traditional potential line is replaced by the wireless measurement module, coupling interference is eliminated, and the wave impedance measurement precision is remarkably improved; the trigger voltage is pre-judged by adopting sectional type wireless networking and simulation, so that field wiring is simplified, and the test period is shortened; the system is suitable for high-rise towers of different heights and structures, stable data transmission in a complex environment is ensured in combination with a wireless transmission system deployed in a layered mode, meanwhile, the electrical characteristics of the towers under transient lightning current are accurately captured, and a reliable basis is provided for lightning protection design and electromagnetic compatibility optimization.

The invention discloses a power distribution cable fault processing method and device, electronic equipment and a storage medium, and relates to the technical field of power distribution cable fault processing, and the method comprises the steps: firstly collecting multi-mode fault signals, such as a high-frequency traveling wave signal, an ultrasonic partial discharge signal and an environment parameter signal, of a power distribution cable; and distribution network topological structure information such as line length, branch number, node position, wave impedance parameters and the like is synchronously obtained. Then high-frequency traveling wave features are extracted, a positioning strategy is determined according to the number of line branches, and fault position coordinates are obtained in cooperation with the traveling wave features and topological information. Then partial discharge features and environment features are extracted respectively, the three types of features are fused to form a fusion feature set, the feature set is analyzed through a fault classification model optimized by the improved whale algorithm, and fault type information is obtained. And finally, associating fault positions and types, generating a fault processing scheme containing a positioning result, fault causes and operation and maintenance priorities, and realizing accurate positioning, classification and operation and maintenance guidance of the distribution cable faults.

The invention discloses a mining area disaster control-oriented dual-stage scheme construction method, and relates to the technical field of mine safety engineering, and the method comprises the following steps: S100, constructing a high-resolution multi-mode joint detection system, and carrying out the cooperative arrangement of a seismic wave array and an electrical method profile, and synchronously collecting the wave impedance response and electrical property anomaly characteristics, and obtaining a physical anomaly information set covering full depth. According to the method, through multi-mode joint detection and heterogenous data fusion, the precision and integrity of deep structure recognition are improved, and in combination with geological evolution reasoning and dynamic inversion, recognition blind areas are complemented, and accurate positioning of high-risk disaster-causing units is realized. Based on matching of a disaster index model and a parameterization strategy, automatic mapping of disaster partition and a treatment scheme is achieved for the first time, scientificity, targeting and resource allocation efficiency of disaster treatment are remarkably improved, and the method has important engineering application and popularization value.

The invention provides a meteorological station power supply line lightning stroke fault positioning method, system and device and a medium. The method comprises the following steps: firstly, synchronously acquiring transient voltage and current traveling waves based on a preset multi-stage lightning protection area boundary to obtain multi-source transient data; performing cross-measuring-point fusion reconstruction on the acquired multi-source transient data, and marking waveform characteristics of the boundary of the protection area to obtain effective waveform data; then, calculating dynamic wave impedance, and determining a wave impedance break variable in combination with a boundary impedance calibration value; and through the reconstructed effective voltage waveform data or effective current waveform data, the traveling wave arrival time is calibrated by adopting a frequency-variable wave velocity model and wavelet transform. And finally, determining the positioning value of the lightning stroke fault at the access point of the meteorological station terminal equipment according to the frequency-varying wave velocity, the calibrated traveling wave arrival time and the wave impedance break variable, and outputting the position information of the lightning stroke fault in the multi-stage lightning protection area in combination with a preset multi-stage lightning protection area boundary position mapping table. According to the scheme, the lightning stroke fault can be accurately positioned in the multi-stage lightning protection area.

The invention provides an alternating current withstand voltage characteristic detection method of a 110KV grounding transformer winding, and belongs to the technical field of grounding transformer windings, and the method comprises the steps: building a scaling type grounding transformer winding physical model, carrying out the power frequency alternating current voltage test under different voltage levels, employing the orthogonal decomposition to analyze the voltage and current waveforms, building a multi-dimensional characteristic correlation matrix, and carrying out the detection of the alternating current withstand voltage characteristic of the 110KV grounding transformer winding. And calculating power frequency and harmonic impedance coefficients. According to the method, the alternating-current voltage withstanding capability of the actual grounding transformer winding is accurately evaluated on the basis of the proportional relation between the model and the actual 110KV grounding transformer winding, and an innovative research method is provided for diagnosis of the insulating performance of the transformer. According to the detection method provided by the invention, the defects in the prior art are overcome, comprehensive and deep analysis of the AC voltage withstanding characteristic of the grounding transformer winding is realized, and the technical problem that the AC voltage withstanding characteristic of the grounding transformer winding is difficult to comprehensively evaluate by an existing single detection means is solved.

The invention relates to the technical field of oil and gas field seismic exploration and development, and discloses a post-stack wave impedance inversion method and device based on multichannel joint inversion, and the method comprises the steps: constructing a wave impedance parameter solving expression; establishing a multi-channel joint inversion wave impedance parameter solution expression according to the coupling correlation of the impedance parameter solution expression and adjacent seismic channel parameters; and determining iteration initial input according to seismic structure interpretation data and logging data, and performing iteration updating on the multi-channel joint inversion wave impedance parameter solution expression. According to the post-stack wave impedance inversion method, the generalized nonlinear inversion algorithm is introduced into post-stack wave impedance inversion, generation of indirect calculation accumulative errors is effectively avoided, the space coupling correlation of adjacent seismic channel sets is fully considered, a multi-channel joint inversion equation set is established, multi-seismic-channel joint constraint is formed, and the method has the advantages of being high in reliability and high in reliability. And the precision, the transverse continuity and the resolution of a wave impedance inversion result are effectively improved.

The invention provides an identification method for measuring fundamental wave pseudo oscillation by a low-sampling-rate measurement and control device, which belongs to the field of electrical measurement and comprises the following steps of: calculating an impedance deviation coefficient of a capacitor fundamental wave impedance value relative to a capacitor actual impedance value; searching effective maximum values and minimum values of the impedance deviation coefficients, taking the effective maximum values of the adjacent impedance deviation coefficients as analysis intervals, and calculating corresponding oscillation frequencies according to time differences of the analysis intervals; the maximum value and the minimum value threshold value of the impedance deviation coefficient corresponding to the oscillation frequency of each analysis interval are calculated, and the authenticity of measurement oscillation of the measurement and control device is identified according to the relation between the effective maximum value and the minimum value of the impedance deviation coefficient and the corresponding threshold value; the invention further provides a fundamental wave pseudo oscillation identification system measured by the low-sampling-rate measurement and control device. The risk of misjudgment caused by measurement pseudo oscillation of a low-sampling-rate measurement and control device due to high-frequency harmonic aliasing can be solved.

The invention discloses a dam disease three-dimensional nondestructive detection method, a storage medium and computer equipment, and relates to the technical field of geophysical detection.The dam disease three-dimensional nondestructive detection method mainly comprises the steps that a seismic source and a detector are used for detecting a target dam to obtain seismic data; obtaining first arrival travel time by using an improved self-correlation constraint energy ratio method, constructing an underground medium wave impedance initial model by using a back projection algorithm, performing forward modeling calculation to obtain theoretical travel time, and correcting an average slowness value in each grid by using a joint iteration method to obtain a corrected underground medium wave impedance model; and stopping iteration when the iteration is ended to obtain a dam disease three-dimensional nondestructive detection result. By implementing the dam disease three-dimensional nondestructive detection method, the storage medium and the computer equipment provided by the invention, the position of a dam hidden danger can be quickly, efficiently and accurately detected.

The invention discloses a frequency domain ground penetrating radar pipe leakage detection method and system, and relates to the technical field of pipeline leakage detection, and the method comprises the steps: employing a frequency domain ground penetrating radar to carry out the whole pipe segment detection of a pipeline, and obtaining an original electromagnetic wave signal; preprocessing the original electromagnetic wave signal to obtain an echo signal; extracting time-frequency domain features of the echo signals, and screening the time-frequency domain features; identifying the screened time-frequency domain features by using a leakage identification model to obtain suspected leakage pipe sections; starting a microwave impedance measuring device at the position of the suspected leakage pipe section to obtain a reflection signal; and determining the axial position and the radial position of the leakage point according to the reflection signal. According to the method, the frequency domain ground penetrating radar is adopted for primary screening of the whole pipe section, after the suspected leakage pipe section is recognized, the microwave impedance technology is utilized for fine recognition, the wire for impedance measurement is only arranged in the high-risk pipe section, construction and use convenience is improved, and meanwhile the precision of the detection result is improved.

The invention provides a seismic high-resolution inversion method and device. The method comprises the following steps: acquiring angle domain pre-stack seismic trace gather data, seismic horizon data, seismic wavelet data, initial low-frequency longitudinal wave impedance, initial low-frequency transverse wave impedance and initial low-frequency density; obtaining a reflection coefficient according to the angle domain pre-stack seismic trace set data, the seismic horizon data, the seismic wavelet data and a Fatti longitudinal wave reflection coefficient equation; establishing an inversion objective function according to the initial low-frequency longitudinal wave impedance, the initial low-frequency transverse wave impedance, the initial low-frequency density and the reflection coefficient, and obtaining an inversion equation through the inversion objective function; presetting an inversion iteration frequency and an inversion error, and carrying out iterative solution on the inversion equation to obtain intermediate-frequency longitudinal wave impedance, intermediate-frequency transverse wave impedance and intermediate-frequency density; and processing the intermediate-frequency longitudinal wave impedance, the intermediate-frequency transverse wave impedance and the intermediate-frequency density by using a preset first formula to obtain final high-resolution longitudinal wave impedance, transverse wave impedance and density. According to the invention, the precision and resolution of seismic inversion can be effectively improved.

The invention discloses an intrusive rock alteration zone reservoir prediction method comprising the following steps: S1, analyzing and identifying sensitive logging parameters of an intrusive rock alteration zone, and establishing a dominant lithology identification combination chart; s2, establishing a model, and determining seismic response characteristics of intrusive rocks; s3, quantitative evaluation is carried out on the intrusive rock; s4, reservoir prediction of the intrusive rock alteration zone is carried out; and S5, quantitatively predicting the reservoir distribution and thickness of the intrusive rock alteration zone. According to the method, through different lithologic logging response characteristics, a multi-parameter intersection advantage lithologic chart is established, wave group characteristics of intrusive rocks are determined, and the distribution range and thickness of the intrusive rocks are identified by utilizing wave impedance inversion and optimizing attributes of a product of a reflection intensity alternating current component and a phase cosine; and waveform indication inversion of the invaded rock mud shale alteration zone is carried out by using natural potential as a characteristic curve, and reservoir distribution and thickness of the invaded rock alteration zone are predicted and are basically consistent with actual drilling thickness.

The invention discloses a karst cave body geological scale apparent volume calculation method and device, electronic equipment and a medium. The method comprises the following steps: carrying out karst cave plane boundary correction and depiction, and calculating the maximum bottom surface projection area of a karst cave body; determining the cave height based on the wave impedance; and calculating the volume of the cave according to the projection area and the cave height. Based on a karst cave body cylinder approximation estimation method, the geologic scale apparent volume of the karst cave body can be quickly and effectively calculated, and a basis is provided for accurate calculation of the static reserves of the fracture-cavity oil reservoir.

The invention provides a method and a device for determining a fracture fluid indication factor of a deep coal bed gas reservoir, and relates to the technical field of deep coal bed gas exploration. The method comprises the following steps: firstly, constructing a deep coal bed gas reservoir approximate PP wave reflection coefficient equation directly expressed by six reservoir parameters including wave impedance, longitudinal wave velocity, shear modulus, anisotropic parameters, fracture fluid indication factors and fracture tangential weakness; then, a target functional used for inverting reservoir parameters of the deep coalbed methane reservoir is constructed in combination with synthetic azimuth gather seismic data of the deep coalbed methane reservoir of the target work area, and finally, the fracture fluid indication factor of the deep coalbed methane reservoir can be directly inverted by solving the target functional. According to the method, the problem of error accumulation existing in indirect inversion of the fracture fluid indicator factor is avoided, so that the technical problem of poor inversion result accuracy existing in an existing determination method of the fracture fluid indicator factor of the deep coal bed gas reservoir can be effectively relieved.

The invention belongs to the technical field of oil and gas geophysical exploration, and discloses a horizontal well constrained seismic inversion method and system, and the method comprises the steps: intercepting a logging curve of a horizontal section; channel spacing resampling is carried out on the intercepted horizontal section logging curve; numbering sampling points of the resampled logging curve, and constructing a horizontal section data set; constructing a target inversion function based on the horizontal segment data set; and substituting the post-stack seismic data set into the target inversion function, and performing inversion to obtain a wave impedance prediction value corresponding to each channel of seismic data. According to the inversion method, the characteristic that the horizontal well crosses a seismic channel is considered, a horizontal well transverse constraint multi-channel target inversion equation is constructed, the horizontal well transverse change constraint seismic transverse inversion is utilized, the horizontal well constraint seismic inversion method and device are researched and developed, a high-precision and high-resolution wave impedance inversion result is obtained, and the method and the device are suitable for large-scale popularization and application. And powerful technical support is provided for comprehensive evaluation of oil and gas fields and well location deployment.

The invention discloses a frequency-dependent fluid mobility inversion method and device, belongs to the technical field of seismic exploration, and solves the problem that a fluid mobility result extracted by an existing time-frequency analysis method is difficult to directly reflect real physical distribution of a reservoir. The method comprises the following steps: acquiring seismic data including multiple seismic post-stack records and relative wave impedance; the number of frequency bands needing to participate in inversion and the frequency range corresponding to each frequency band are set, continuous wavelet transform is carried out on each seismic post-stack record, and a continuous wavelet transform result is inversely transformed to a time domain to obtain seismic frequency division data needing to participate in inversion; calculating a fluid mobility coefficient of the reservoir according to a logging curve obtained by logging, and interpolating the fluid mobility coefficient into a low-frequency model; and based on the relative wave impedance and the L2 regularization constraint, establishing a fluid mobility inversion equation, substituting the seismic frequency division data, the low-frequency model and the relative wave impedance into the established fluid mobility inversion equation, and solving a mobility inversion result recorded after each seismic stack by using gradient descent.

The invention relates to a power amplifier output matching circuit and a radio frequency power amplification circuit. The power amplifier output matching circuit comprises a higher harmonic suppression module, a second harmonic suppression module and an output matching module. In the circuit structure provided by the invention, the output matching module can match the impedance provided for the power amplifier to the impedance suitable for testing, the bandwidth requirement is met, the secondary harmonic component is suppressed through an improved structure formed by the secondary harmonic suppression module and the higher harmonic suppression module, and meanwhile, the higher harmonic suppression requirement is met; therefore, the fundamental wave impedance point position of the power amplifier is improved, and the performance of the power amplifier is improved.

The invention discloses a seismic wave impedance high-resolution inversion method and device based on physical model constraint, equipment and a storage medium. The method comprises the following steps: training a forward modeling network by using logging wave impedance data and corresponding seismic data; performing well logging constraint-based training on the inversion network by using the well logging data, the initial low-frequency wave impedance data and the seismic trace position text data; training the inversion network based on the cyclic consistency constraint by using the unlabeled data under the constraint of the forward modeling network; utilizing an inversion network to obtain wave impedance data and a reflection coefficient of initial prediction; and performing iterative training on the inversion network, training the inversion network by using logging constraint and loop consistency constraint in each round of iteration, using an inversion result of the previous round of iteration as input, and outputting a final inversion result when an iteration termination condition is satisfied. The forward modeling physical model and the inversion network model are combined to form a closed-loop network, label-free data are fully utilized, and the physical interpretability of an inversion result is improved.

The invention discloses an inversion mapping model training method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring to-be-trained seismic data and a wave impedance tag corresponding to the to-be-trained seismic data; training an initial learner based on the to-be-trained seismic data and the wave impedance tag corresponding to the to-be-trained seismic data to obtain an active learner model; obtaining non-labeled seismic data, and inputting the non-labeled seismic data into the active learning device model to obtain a wave impedance label of the non-labeled seismic data; and training a neural network model based on the unlabeled seismic data and the wave impedance tag of the unlabeled seismic data to obtain a trained inversion mapping model. According to the technical scheme, the wave impedance tag of the unlabeled seismic data is generated through active learning simulation, so that training of the inversion mapping model is completed under a small amount of labeled information, and the training precision of the inversion mapping model is improved.

The embodiment of the present invention provides a normalization method, device, computer equipment and storage medium for wave impedance curve, wherein the method includes: obtaining lithology data of drilling, dividing lithology types in the lithology data; assigning a grade to each lithology type, calibrating the grade assignment of each lithology type, and obtaining a lithology curve; normalizing the wave impedance curve by absolute value; adding the wave impedance curve after absolute value normalization and the lithology curve at the corresponding depth to obtain a normalized wave impedance curve. The scheme realizes the use of lithology curves in the process of normalizing the wave impedance curve, realizes the normalization of the wave impedance curve according to the lithology grade, so that the normalized wave impedance curve realizes the consideration of sedimentary phases and sedimentary cycles, which is conducive to improving the lithology sensitivity of the normalized wave impedance curve, and further helps to improve the accuracy of the normalized wave impedance curve.

The invention provides a sand body depicting method based on seismic composite microfacies under a high-precision sequence framework, which mainly comprises the following steps of: (1) analyzing geology-geophysical response characteristics of a sand body under a high-frequency sequence framework, namely (1.1) extracting and optimizing seismic attributes; (1.2) lithology distribution characteristic analysis; (1.3) analyzing and counting the relationship between the seismic attributes of the well point positions and rocks; (1.4) distribution characteristics of wave impedance; (1.5) lithology combination-sedimentary microfacies type-amplitude change one-dimensional forward modeling analysis is carried out; (1.6) carrying out two-dimensional forward modeling analysis based on sedimentary microfacies-cause sand body comparison; (2) depicting seismic attribute features and sand bodies, namely (2.1) extracting root mean square attributes and depicting the sand bodies; (2.2) performing planar distribution of characteristics on sand bodies of all the quasi-sequence groups; (3) earthquake-composite microfacies analysis: (3.1) earthquake composite microfacies type analysis; and (3.2) analyzing the composite microphase distribution characteristics in each period.

The invention provides a longitudinal wave and converted wave matching method and system based on inversion, and belongs to the technical field of oil exploration, and the method comprises the steps: obtaining logging information, a longitudinal wave superposition data body, a longitudinal wave pre-stack gather data body and a converted wave superposition data body of a multi-component earthquake; performing well-seismic calibration on the longitudinal wave superposition data body and the converted wave superposition data body, and determining the time depth of the target stratum in longitudinal waves and converted waves; correcting the converted wave from the converted wave time domain to the longitudinal wave time domain to obtain a converted wave data body; according to the logging information and the longitudinal wave pre-stack gather data body, carrying out pre-stack inversion to obtain transverse wave impedance; according to the logging information and the converted wave data body, carrying out post-stack inversion to obtain shear wave impedance; and determining a time difference according to the shear wave impedance, and matching the converted wave data volume according to the time difference. The problem that longitudinal waves and converted waves are difficult to match due to large energy, frequency and phase differences is solved, the matching precision of the longitudinal waves and the converted waves is improved, and meanwhile accurate matching between marker layers can be achieved.

The invention provides a deep and far sea wind power plant area lightning dynamic parameter inversion method and device, and relates to the technical field of lightning protection, and the method comprises the steps: building a fan return stroke model based on current reflection caused by the wave impedance discontinuity of a fan top, a return stroke channel and a fan bottom grounding position, obtaining an initial propagation model of the electromagnetic field along the sea-land mixed path by combining the surface equivalent impedance of the sea surface and the land of the observation point zone; correcting the initial propagation model through electromagnetic field influence parameters to obtain a target propagation model; inputting a radiation source signal received by an array into the target propagation model for waveform time sequence inversion processing to obtain a corresponding time reversal signal; the time reversal signals in different directions are superposed and focused to obtain the peak azimuth, and the three-dimensional positioning of the lightning radiation source is carried out in combination with the positioning result of the double stations, so that the lightning development spatial-temporal distribution law is determined, and the measurement precision of the lightning leader development speed is remarkably improved.