173 results about "S-wave" patented technology

A borehole seismic acquisition system is described with a plurality of sensors arranged so as to identify within the data measured by the pressure sensors P- and S-wave related signals converted at the boundary of the borehole into pressure waves, the sensors being best arranged in groups or clusters sensitive to pressure gradients in one or more directions.

The invention provides a carbonate rock physical parameter seismic inversion method, which belongs to the field of petroleum geophysical exploration. The method comprises the following steps: (1) carrying out pre-stack AVO three-parameter inversion based on a pre-stack angle gather to obtain formation elasticity parameters M, wherein M includes P-wave velocity, S-wave velocity and density; (2) establishing a statistical rock physical model based on logging data; (3) randomly simulating physical conditions of a reservoir based on the rock physical model obtained from step (2) to obtain a random simulation result; and (4) carrying out Bayes classified simulation on the random simulation result obtained from step (3) to obtain a posterior probability distribution, and taking the M obtained from step (1) as the input of inversion to find a R with the maximum posteriori probability distribution, wherein R is the final inversion result.

Fracture- and stress-induced sonic anisotropy is distinguished using a combination of image and sonic logs. Borehole image and sonic logs are acquired via known techniques. Analysis of sonic data from monopole P- and S-waves, monopole Stoneley and cross-dipole shear sonic data in an anisotropic formation are used to estimate at least one compressional and two shear moduli, and the dipole fast shear direction. Fracture analysis of image logs enables determination of fracture types and geometrical properties. Geological and geomechanical analysis from image logs provide a priori discrimination of natural fractures and stress-induced fractures. A forward quantitative model of natural fracture- and stress-induced sonic anisotropy based on the knowledge of fracture properties interpreted from image logs allows the computation of the fast-shear azimuth and the difference in slowness between the fast- and slow-shear. The misfit between predicted and observed sonic measurements (i.e. fast-shear azimuth and slownesses) is then optimized in order to discriminate depth zones with an elastic medium as being influenced by the presence of open natural fractures, closed natural fractures and fractures induced by non-equal principal stress effects.

The invention discloses an electrocardiosignal (ECG) data analysis method suitable for a mobile platform. The electrocardiosignal (ECG) data analysis method includes subjecting collected electrocardiosignal data to original ECG electrocardiosignal median filtering; detecting and positioning an R wave through a self-adaption dual-threshold algorithm; detecting two forward waves before and after the R wave, wherein the two forward waves are a P wave and a T wave; detecting two negative waves on two sides of the R wave, wherein the two negative waves are a Q wave and an S wave; using starting point and terminal point positions of the R wave, the P wave, the T wave, the Q wave, and the S wave to calculate ECG feature values of wave point intervals for arrhythmia diagnosis. According to the ECG data analysis method suitable for the mobile platform, the accuracy for detection of arrhythmia can reach over 92%; since an algorithm structure is concise, processing efficiency is high, only 12s is required for processing one-minute ECG data on a Cortex A8 / Android mobile platform, and the method is suitable for developing a mobile platform based portable admeasuring apparatus.

The invention discloses a compaction degree test method, which comprises the following steps: (1) field data collection, (2) data processing and analysis, (3) S-wave velocity calculation under the most dense state, (4) water content calculation under the most dense state, and (5) compaction degree calculation; the invention also discloses a compaction degree tester based on the method; the compaction degree tester comprises a single-chip controller, a floating-point amplifying and sampling holding A / D converter, a high / low pass filter, a wave-trap, a preamp A / D converter, an on-site wiring checker, a data storage and a computer; the invention has the advantages that the apparatus is portable and power-saving, and has compact structure, easy operation, fast processing speed and wide application range.

The invention discloses a rock property test system, which comprises a rock microscopic optical tester. A fully saturated sample is placed on the rock microscopic optical tester, and the surface of the fully saturated sample is provided with an acoustic emission test system and a resistivity test system. Specifically, a rock damage evolution test method includes the steps of: 1. connecting the rock microscopic optical tester with the acoustic emission test system and the resistivity test system in parallel; 2. assembling a rock property test system; 3. performing uniaxial compression test and observing the correlation of the rock's wave electric field parameters and strain under a loaded condition; 4. quantitatively describing the appearance and internal injury of the rock at each loading stage under a load-bearing condition; and 5. at each stage of uniaxial compression damage evolution, employing different damage variables to describe the rock damage evolution process. The system and the method provided by the invention can realize whole course observation of the whole process of the rock internal and external damage rupture, and overcomes the restriction of traditional testers on the sample shape.

The present invention provides a seismic exploration and imaging system for producing seismic survey reports of subsea geological structures. The exploration system provides a method in which both P-waves and S-waves are detected without the need for placing detection apparatus in contact the seabed. A seismic event is applied (12) to the earth's surface (13), and the detected response including P-waves and S-waves in the earth's. The detecting apparatus comprises a means for monitoring and recording the response to the seismic event in the form of movements of particles at the earth's surface, from a position spaced from the earth's surface. Particles at the surface will respond both to P-wave and S-wave stimulation and so their movements will be representative of the two waves. These movements are detected from a distance.

Fracture- and stress-induced sonic anisotropy is distinguished using a combination of image and sonic logs. Borehole image and sonic logs are acquired via known techniques. Analysis of sonic data from monopole P- and S-waves, monopole Stoneley and cross-dipole shear sonic data in an anisotropic formation are used to estimate at least one compressional and two shear moduli, and the dipole fast shear direction. Fracture analysis of image logs enables determination of fracture types and geometrical properties. Geological and geomechanical analysis from image logs provide a priori discrimination of natural fractures and stress-induced fractures. A forward quantitative model of natural fracture- and stress-induced sonic anisotropy based on the knowledge of fracture properties interpreted from image logs allows the computation of the fast-shear azimuth and the difference in slowness between the fast- and slow-shear. The misfit between predicted and observed sonic measurements (i.e. fast-shear azimuth and slownesses) is then optimized in order to discriminate depth zones with an elastic medium as being influenced by the presence of open natural fractures, closed natural fractures and fractures induced by non-equal principal stress effects.

The invention discloses a method for picking an arrival time of a seismic phase based on an LSTM (Long Short Term Memory) recurrent neural network. The method comprises the following steps: (1) acquiring original seismic waveform data, performing cutoff processing on a waveform, and outputting equilong waveform data comprising a P (Primary) wave and an S (Secondary) wave; (2) preprocessing waveform data in a data set, and then dividing the data set into a training data set and a testing data set; (3) constructing a structure of the LSTM recurrent neural network; (4) training an LSTM recurrentneural network model and testing a trained model by using the testing data set, wherein when a testing result meets an accuracy requirement, the training is completed; and (5) deploying a trained LSTMrecurrent neural network model in a waveform analysis system, analyzing seismic waveform data, and picking an arrival time of the P wave and an arrival time of the S wave. By adopting the technical solutions provided by the invention, the anti-noise performance is good, the picking for the arrival time of the P wave and the arrival time of the S wave is excellent, and the method has very good technological value and application prospect.

The invention provides an electrocardiosignal QRS wave group detecting algorithm based on improved variational modal decomposition. The problem that a traditional recognizing method is not strong in interference resistance and not high in recognizing rate is solved. According to the core concept of the algorithm, variational modal decomposition serves as the basis, the value of an important parameter K in the algorithm is selected in a self-adaptive mode, decomposition and optimization are conducted on a to-be-processed signal, a proper BIMF vector is selected for further research, normalization and square treatment are conducted on the vector, R point positioning is conducted on the processed signal through a threshold method, an index position is obtained, an original signal is calibrated, a Q wave and an S wave are calibrated on the original signal through a slope mutation method, and therefore electrocardiosignal QRS wave group detecting can be completed. The important parameter Kin the VMD algorithm can be determined in a self-adaptive mode, and finally high interference resistance and recognition rate are achieved for QRS feature wave detecting.

Method for modeling anisotropic elastic properties of a subsurface region comprising mixed fractured rocks and other geological bodies. P-wave and fast and slow S-wave logs are obtained, and an anisotropic rock physics model of the subsurface region is developed (21). P- and fast and slow S-wave logs at the well direction are calculated using a rock physics model capable of handling fractures and other geological factors (22). Calculated values are compared to measured values in an iterative model updating process (23). An upscaled ID model is developed by averaging elastic properties in each layer using an upscaling theory capable of handling at least orthorhombic anisotropy (24). The ID model may be used to generate synthetic seismic response for well ties or AVO modeling (25). Further, a method is disclosed for estimating anisotropy parameters from P- and fast / slow S-wave logs from one or more deviated wells.

The invention discloses an iraser light source in the generation of an optical fiber type 3-5-micron continuous wave difference frequency and a method for achieving the same, wherein a pump light and a signal light adopt a wavelength sectional combining plan, a rare-earth-doped fiber laser with suitable wavelength is selected, a pump source adopts a ytterbium-doped fiber laser with a wave band of 1,060 nm and wave bands of over 1,100 nm, and the wave bands can be exchanged with each other. The signal light adopts an erbium-doped fiber laser with an S wave band, a C wave band and an L wave band, and the wave bands can be exchanged with each other. The ytterbium-doped fiber laser and the erbium-doped fiber laser emit the pump light and the signal light respectively, the pump light and the signal light are adjusted to be parallel with an optical axis of a crystal by a polarization controller respectively and are combined together by a fiber coupler, then a lens focusing system focuses the two light beams into a periodical polarization lithium niobate crystal; and by adjusting the length of the polarization cycle and the crystal temperature of the periodical polarization lithium niobate crystal, the pump light, the signal light and the difference frequency light meet a phase matching condition to finally achieve the infrared output in the generation of the difference frequency.

The invention discloses an oil-gas-water identifying method adopting post-stack information of longitudinalwave seismic prospecting, comprising the following steps: collecting velocity data of P wave and S wave or Poisson ratio data of array sonic logging information, processing and interpreting seismic profile, matching the logging information with seismic channels besides a well, establishing mapping relation between the logging information and the seismic channels besides the well, and applying the mapping relation to other seismic channels, namely extrapolation to obtain the inversional curves of the corresponding seismic channels. The invention adopts the information of the P wave and S wave or Poisson ratio of the involved post-stack seismic data, has evident identifying effect, completely gets rid of the oil-gas-water predicting method by pre-stack data and the multi-wave prospecting method in the prior art, has high collection speed, saves large collecting cost and is convenient for popularization and application.

The present invention provides a phase control heterogeneous mechanical parameter crustal stress prediction method, comprising: a first step of establishing a petrographic interpretation template and performing single well petrographic interpretation; a second step of performing inter-well prediction according to the interpreted all single well petrographic data in combination with seismic attribute data, and establishing a three-dimensional petrographic model; a third step of establishing a p-wave and s-wave time difference relation of different petrographic facies, and solving each single well mechanical parameter; a fourth step of establishing a three-dimensional heterogeneous mechanical parameter model under the control of petrographic facies; and a fifth step of determining a boundary condition of crustal stress finite element simulation, and predicting a three-dimensional crustal stress field. The phase control heterogeneous mechanical parameter crustal stress prediction method achieves finite element crustal stress simulation under a three-dimensional heterogeneous mechanical parameter condition, and the simulation model is closer to real mechanical parameter distribution characteristics of underground geologic bodies than a conventional inner-layer homogeneous mechanical parameter model, thereby greatly improving prediction accuracy of crustal stress.

The invention discloses an in-seam seismic multi-attribute parameter tomographic method. The in-seam seismic multi-attribute parameter tomographic method includes the following steps: 1) theoretical model analysis; 2) seismic data pre processing; 3) a pickup method of parameters; 4) an energy and frequency correction algorithm; and 5) tomographic imaging. The in-seam seismic multi-attribute parameter tomographic method has the advantages of effectively solving the problems of construction, change of coal thickness and crushed zones of top and base plates in a working face, by utilizing the time of in-seam wave, P wave and S wave to inverse speed, utilizing the energy of in-seam wave, P wave and S wave to inverse tomography and utilizing the frequency of in-seam wave to inverse coal thickness, and by means of integrated comparison and analysis.

The invention discloses a distributed type earthquake early warning cloud monitoring network system and method and relates to the field of earthquake early warning. The distributed type earthquake early warning cloud monitoring network system and method solve the problems that a traditional P-wave and S-wave early warning mode is high in cost, short in early warning time and not applicable to wide domestic consumers. The system is composed of an earthquake early warning network server, a household portable monitoring terminal and a public fixed type monitoring terminal. According to the method, all the terminals in the network are utilized for monitoring P waves, S waves and geographic positions generated after an earthquake happens in real time, the earthquake waves and the geographic position information are uploaded to the earthquake early warning network server in real time through wired and wireless networks, and therefore an earthquake wave dynamic real-time spreading figure based on a geographic information system is built. The distributed type earthquake early warning cloud monitoring network system and method have the advantages that the epicenter area range and the earthquake magnitude are determined, a large number of points are distributed in the network densely, a dead zone can be eliminated effectively, and the earthquake early warning time is prolonged effectively.

Computing device and method for determining primary and ghost components from S-waves recorded in near-surface conditions, wherein the S-waves are refracted or reflected from a structure in a subsurface. The method includes a step of receiving seismic data (R, V) with regard to the S-waves, wherein the seismic data includes vertical and radial components recorded with a buried three-component receiver; a step of calculating with a processor a primary component (P) and a ghost component (G) from the vertical and radial components; and a step of computing an image of a subsurface based on the primary and ghost components (P, G). The S-waves form a plane wave.

The invention provides a method for evaluating brittleness of a shale reservoir and belongs to the technical field of nonconventional oil and gas reservoir evaluation. The method comprises the following steps: acquiring an elastic parameter and a brittleness mineral parameter of the shale reservoir to be evaluated, wherein the elastic parameter comprises Young modulus*density; carrying out cross analysis on the Young modulus*density and other elastic parameters and / or the brittleness mineral parameter and according to a cross analysis result, determining a value domain of the Young modulus*density; according to p-wave and s-wave impedances obtained by prestack inversion, establishing a Young modulus*density attribute volume; evaluating the brittleness of the shale reservoir to be evaluated by the Young modulus*density attribute volume in the value domain. According to the invention, accuracy of evaluating the brittleness of the shale reservoir is improved, prediction on planar distribution of the brittleness in the integral research region is implemented and the method has wide application prospect in the field of exploration and development of shale gas.

The invention relates to methods and computer-readable medium to determine seismic reflectivity attributes indicating the presence of hydrocarbons in earth. In several embodiments, the methods and computer-readable medium perform the steps of computing seismic reflectivity attributes includes inputting data representing reflected seismic waves and a volume of P-wave velocity, transforming the volume of P-wave velocity into a volume of bulk density, transforming the volume of P-wave velocity into a volume of S-wave velocity using amplitude information from the reflected seismic waves, and using the volume of S-wave velocity and the volume of P-wave velocity to compute the reflectivity attribute.

The invention relates to a dogging Doppler ultrasonic flow-velocity distribution device, by adopting which the ultrasonic wave sent out from the ultrasonic transducer arranged outside the pipeline is sent on the liquid to be measured in the pipeline to measure the distribution of the flow-velocity of the liquid. The principle of the device is a certain frequency of the ultrasonic wave is reflected by the reflector in the liquid, and due to the Doppler Effect, the frequency is changed according to the flow-velocity. The sound wave propagation wedge of the ultrasonic flow-velocity distribution device is arranged between the ultrasonic transducer and the pipeline. The frequency of the emitted ultrasonic wave is set different from a certain frequency with a wave refraction angle of 90 degrees of the Lamb wave patterns in the pipeline. The frequency is calculated from the angle of incidence of the ultrasonic wave from the wedge into the pipeline, the sound speed in the wedge, the sound speed of the S-wave and P-wave in the pipeline, and the thickness of the pipeline. In such a way, the transmission frequency and the angle of incidence into the pipeline in the ultrasonic flow-velocity distribution device are fully chosen, thus allowing for the high-precision measurement of the fluid flow-velocity or the flow.

Method for designing a converted mode (PS or SP) seismic survey to accomplish specified vertical and lateral resolution objectives at target depth. An equation (181) is provided for determining the minimum bandwidth required for a desired vertical resolution at a selected scattering angle, as a function of incident and reflected wave velocities, one of which is the P-wave velocity and the other is the S-wave velocity. A second equation (182) is provided for determining migration acceptance angle from the desired vertical and lateral resolutions. Source and receiver apertures may then be determined by ray tracing. Finally, a third equation (183) is provided for the maximum bin size to avoid aliasing, given the migration acceptance angle and a maximum frequency needed to achieve the bandwidth requirement. Source and receiver spacing may then be based on the maximum bin size.

The invention discloses an electrocardiosignal ST section automatic judging method and device based on the artificial intelligent technology. For filtered human body electrocardiosignals, on the basisof wavelet filtering and a triangular area method, key character points of the electrocardiosignals are extracted, positioning S waves and T waves are included, the ST section initial point and slopecharacteristics are accurately recognized, then, a base line removal method based on mean value filtering is put forwards, extracted base line sequences are subtracted, novel electrocardiosignals areobtained, ST section and base lines are extracted for the electrocardiosignals, the heart rate and the slope of each section base line are calculated, the standard reference line is selected comprehensively, finally ST section abnormal changes are recognized according to the standard reference line, the qualitative and quantitative ST section judging result is obtained, and whether the base lineis lifted, lowered or normal is determined. The problems that due to base line shifting, base line errors are caused, standard base line selection is not accurate, and the abnormal heartbeat number difference is large are solved, the ST section abnormal change judging accuracy is indirectly improved, calculation is easy, and the method is easy to implement.

The invention relates to geophysical exploration microseism monitoring technology, in particular to a homomorphous wave time difference positioning method with computational efficiency improved greatly and combined with data base technology and under the condition that computational accuracy is guaranteed. The homomorphous wave time difference positioning method based on the data base technology comprises the following steps that (1) microseism happening space zone is established and grid subdivision is performed; (2) a forward modeling result of P wave or S wave of each grid is written to a data base by ray tracing algorithm; (3) combined with an azimuth angle of an actual microseism happening space, whether an azimuth angle of the i grid volume i (x, y, z) is in a range (theta m-theta', theta m+ theta') determined by the azimuth angle of a microseism event is judged and if the azimuth angle of the i grid is in the given azimuth angle range (theta m-theta', theta m+ theta'), a spatial point volume i (x, y, z, theta m + / - theta') where a microseism can happen is determined; and (4) in a microseism happening space zone volume, optimal seismic focus location search is performed on all grid points volume i (x, y, z, theta m + / -theta') with the azimuth angle located in the (theta m-theta', theta m+ theta') according to a formula.

The invention discloses a novel metro engineering geological exploration method based on drilling and micro detection combination. The geological exploration method comprises three stages, namely a preliminary exploration stage, a detailed exploration stage and a supplementary exploration stage; circular seven-node interactive micro data collection units are adopted in micro detection; and each circular seven-node interactive micro data collection unit comprises an array composed of seven seismic recorders, wherein six seismic recorders are uniformly distributed on the circumference of the same virtual circle, and one seismic recorder is arranged at the center of the virtual circle. The method has the advantages that through the novel geological exploration method based on drilling and micro detection combination, a series of problems, such as an excessively large geological blind area, limited measuring point distribution and outstanding environment problems, in a traditional geological exploration method are solved; a continuous high-precision transverse-wave (S-wave) velocity profile in a measuring region can be acquired, and geological information is richer and more accurate; and meanwhile, geological exploration efficiency is improved, and construction cost is saved.

The invention discloses a rock mass quality classification and dynamic parameter estimation method based on a blasting vibration test. The rock mass quality classification and dynamic parameter estimation method comprises the following steps: distributing test points according to an ordinary blasting vibration test, acquiring the time of a wave P and a wave S for arriving each test point by virtue of a multi-channel data acquisition unit, and also calculating the propagation velocity of the wave P and the wave S between two test points by virtue of a time difference of the wave P and the wave S for arriving the test points and a distance between the test points to ensure that the rock mass quality between the two test points can be judged and a dynamic elastic modulus of a rock mass between the two test points can be calculated according to the propagation velocity. The rock mass quality classification and dynamic parameter estimation method disclosed by the invention is simple to operate, and can be taken as an effective supplement of conventional geological exploration so as to ensure that a lot of time and workload can be saved; and the rock mass quality classification and dynamic parameter estimation method is suitable for the geological exploration of underground cavities in a blasting excavation process, and is also suitable for the geological exploration of side slopes.

The invention provides an earthquake surveillance control device of elevator. The earthquake surveillance control device of elevator is characterized by comprising an elevator normal running part; a P-wave detector; a control running part; an S detector; an elevator running stopping part for maintaining and stopping the elevator normal running executed by the elevator normal running part after the P-wave detector detecting the set P-wave over the initial stage micro set grade and when the S detector detecting the set S-wave over proper shock set grade; an elevator reopening part for automatically reopening the elevator normal running executed by the elevator normal running part; a communication part for informing the information expressing that the P wave detector detects the set P-wave to the surveillance center when reopens the elevator normal running, and informing the information expressing that the S wave detector detects the set S-wave to the surveillance center when detects the set S-wave.

Laser beams respectively emitted from a SHG blue laser unit and a red semiconductor laser unit that have photo detectors respectively are turned into parallel lights by a collimator lens and then coupled by a dielectric multi-layer film mirror so as to be propagated on the same optical axis. The dielectric multi-layer film mirror is configured so as to transmit light with a wavelength of 500 nm or shorter and reflect light with a wavelength of 500 nm or longer for both P wave and S wave. The lights that are transmitted and reflected by the dielectric multi-layer film mirror pass through a polarizing hologram and a phase variable wave plate and are focused on an optical disk by an objective lens. In this manner, a simple configuration can realize a compatibility with many types of optical disks and a stable signal detection even when using a polarizing optical detection system.

The invention provides an elevator running control device, by which an elevator (2) which generates actual damages due to earthquakes is determined from a monitoring center (6) among a plurality of elevators (2) encountered with the earthquakes. The elevator running control device comprises a monitoring terminal (3) which monitors an operation state of the elevators and notifies the monitoring center (6); a P-wave detector (4a) capable of detecting P-waves; an S-wave detector (4b) capable of detecting S-waves; an earthquake controlled operation execution portion (35) which performs earthquake controlled operation only when P-waves with a level higher than a predetermined level are detected by a P-wave detecting device (31). Morever, an earthquake monitoring signal is transmitted to the monitoring center (6) only when the P-waves with a level higher than the predetermined level detected by the P-wave detecting device (31) are passed a predetermined time Tmax, and S-waves with with a level higher than the predetermined level are not detected by the S-wave detector (4b).

A method for pore pressure prediction includes obtaining a stress sensitivity coefficient, obtaining a compressional wave (P-wave) velocity and a shear wave (S-wave) velocity for a pre-drill location and obtaining a first predicted pore pressure. Further, the method includes iteratively performing calculating a total stress value associated with the pre-drill location using the first predicted pore pressure associated with the pre-drill location, and calculating a second predicted pore pressure associated with the pre-drill location using a stress-pressure relationship equation, a stress-velocity relationship equation, the stress sensitivity coefficient, a reference location, and at least one selected from a group consisting of the P-wave velocity and the S-wave velocity for the pre-drill location, and adjusting a drilling operation associated with the pre-drill location, based on the second predicted pore pressure.

The invention provides a dynamic estimation method for P-wave and S-wave velocities in a carbon dioxide flooding process. The method comprises the following steps: acquiring a total porosity and a pore aspect ratio after displacement by using existing base data and experimental data; acquiring bulk moduli and shear moduli of rock matrixes which are different in oil-gas-water contents by using a K-T equation respectively; building wave impedance volume versions with different oil-gas-water saturation degrees based on the experimental data and seismic data; calculating a mixed fluid bulk modulus and a mixed fluid density in secondary seismic acquisition; acquiring densities, the bulk moduli and the shear moduli of the rock matrixes in the secondary seismic acquisition by using a change formula of the porosity and the pore aspect ratio under the influence of a pressure; and acquiring the P-wave and S-wave velocities in seismic acquisition by using a Xu-White model. Through adoption of the dynamic estimation method for the P-wave and S-wave velocities in the carbon dioxide flooding process, a model is improved by a changed porosity and a changed pore aspect ratio, so that the P-wave and S-wave velocity prediction accuracy is increased, and dynamic estimation of the P-wave and S-wave velocities in the carbon dioxide flooding process is realized.