1090results about "Analysis using nuclear magnetic resonance" patented technology

Embodiments include a system for material detection and identification. The system may include an RF transmit device configured to transmit into an environment an RF signal at a resonance frequency. The system may also include an RF receiver device configured to receive a response signal from the environment. The system may further include a communication device connecting the RF transmit device and the RF receiver device. The communication device may include a control module. The system may include a geolocation device. The control module may be configured to receive geolocation data from the geolocation device, analyze the response signal for resonance characteristics that indicate a presence of a material, and identify the material to a user when the presence of the material is indicated by the resonance characteristics. Methods for material detection and identification are also described. Methods may involve obtaining geolocation data.

The invention relates to a metabolic marker for diagnosing diabetic secondary osteoporosis and application of the metabolic marker, and belongs to the technical field of biological medicine. The method comprises the following steps: firstly, screening out obviously different metabolites between osteoporosis (DOP) and osteoporosis-free groups (DM) in diabetic patients; and secondly, screening out significant difference metabolites between the primary osteoporosis patient and the healthy control group, and excluding the intersection of the two groups of difference metabolites to obtain metabolites which exclude the influence of the primary osteoporosis. Metabolic markers, namely cytosine nucleotide, ketoglutaric acid and triethylamine, are obtained through further screening, and when the three metabolic markers are independently used, AUCgt; the AUC during combined use is 0.99, so that the limitation that the sensitivity of the traditional bone mineral density detection on the osteoporosis recognition in the diabetic population is insufficient is effectively made up.

A method for material detection may include extracting, from a material database, a resonance frequency for the target material. The method may further include comparing an application type to entries in a scan database. The scan database may store pre-defined scanning patterns and corresponding application types. The method may include extracting, from the scan database, a scan sequence for the application type. Also, the method may include instructing a gimbal to follow positions in the scan sequence. The method may also include transmitting into an environment an RF signal when the gimbal is at the positions in the scan sequence. The method may further include receiving a response signal from the environment. The method may include generating a haptic feedback to indicate a directionality or a proximity to the target material. The method may include analyzing the response signal for resonance characteristics that indicate a presence of the target material.

The invention belongs to the technical field of shale oil development and research, and discloses a shale oil mobility evaluation method based on a two-dimensional nuclear magnetic resonance experiment, which comprises the following steps: dividing an oil-containing shale sample harvested by a closed coring well into three parts which are respectively marked as a sample 1, a sample 2 and a sample 3; carrying out a TOC determination experiment on the sample 1 to obtain the TOC content of the sample; carrying out a step-by-step pyrolysis experiment on the sample 2 to obtain the contents of the sample S1-1 and the sample S2-2; calculating to obtain a shale oil mobility evaluation factor which is marked as FMO; carrying out a two-dimensional nuclear magnetic resonance experiment on the sample 3 before and after centrifugation to obtain the movable oil content of the sample before and after centrifugation, calculating to obtain the percentage of two-nuclear magnetic resonance movable oil, and recording the percentage as MO2D-NMR; and shale oil mobility evaluation is realized through analysis of the relationship between MO2D-NMR and FMO. According to the method provided by the invention, nondestructive testing of the sample can be realized in the two-dimensional nuclear magnetic resonance experiment process, the loss of light hydrocarbon can be reduced to the greatest extent, and the mobility evaluation precision of shale oil is effectively improved.

The invention discloses a CO2-EGR visual monitoring method based on nuclear magnetic resonance. The CO2-EGR visual monitoring method aims at solving the problem that dynamic observation of the pore scale gas drive process is insufficient in the traditional technology. Multi-sequence nuclear magnetic resonance monitoring is synchronously executed, a T2 spectrum is obtained through a CPMG sequence to analyze CH4 content changes, a layered T2 spectrum is generated through an SE-SPI sequence to represent axial fluid distribution, a one-dimensional frequency signal is collected based on a GR-HSE sequence to track a displacement leading edge in real time, and fluid migration visualization is achieved in combination with an HSE overall imaging sequence. The system integrates a gas injection unit, a high-pressure-resistant nuclear magnetic holder, a back pressure controller and a data acquisition module, and is hermetically connected through a high-pressure-resistant pipeline to form a closed-loop experiment system. According to the method, displacement front recognition, displacement process in-situ analysis and quantitative characterization of the displacement efficiency in the non-intrusive CO2-EGR process are achieved for the first time, the CO2-EGR visualization bottleneck is broken through, and a scientific basis is provided for optimizing gas injection parameters and improving the natural gas recovery rate and the carbon sequestration efficiency.

The invention discloses a microscopic crack dynamic in-situ characterization method, and relates to the technical field of crack in-situ detection. According to the method, a plurality of hardened cement paste bodies are soaked in a sulfate solution, the porosity development trend of the hardened cement paste bodies is obtained through a nuclear magnetic resonance test and a mercury injection test in the soaking process, a test sample and a test sample are prepared after soaking is finished, and the crack propagation length of the test sample is measured through a scanning electron microscope. According to the distance gradient between the sampling angle of the test sample and the exposed surface, space coordinates of crack cracking are converted into a time process along the center axis of the test sample, a delay microscope is established on the microscale, and the test sample is scanned by using X-ray computed tomography equipment in a matched mode; a crack propagation animation image is formed based on a crack form between adjacent X-ray tomography slices, and a crack development process is obtained by continuously capturing high-resolution images, so that omission of time information is avoided, and in-situ detection of microscopic cracks in a hardened cement paste sample is realized.

The invention belongs to the technical field of honey analysis, and particularly relates to a method for analyzing characteristic chemical components of Qinling Mountain medium-peak honey. The analysis method comprises the following steps: obtaining different extraction layers, and carrying out mass spectrometry on each layer of sample; constructing a molecular network by mass spectrum data through a GNPS platform, and comparing the mass spectrum data with a database to obtain primary identification; unmatched nodes predict the skeleton by using an NAP tool to obtain a secondary result; then fractions are separated, and an unknown structure is deduced by combining an SMART technology with nuclear magnetism; and finally, synthesizing the three types of results to determine the characteristic chemical components of the honey. Compared with a single chromatography-mass spectrometry technology, the analysis method provided by the invention not only realizes data visualization, but also reduces the dependence of chemical component identification on a database to a certain extent, and provides reference for rapid characterization of chemical components in a honey crude extract or fraction.

The invention belongs to the technical field of engineering material detection, and particularly discloses an asphalt mixture dynamic water stability comprehensive detection system which comprises a standard test piece preparation module, a dynamic load loading module, a diffusion behavior analysis module, a sealing failure verification module and a water stability evaluation module. A detection area is limited through closed sealing treatment, a staged progressive increase dynamic load is applied to simulate an actual working condition, a three-dimensional moisture diffusion map is constructed to analyze diffusion behavior parameters, and a dynamic water stability grade evaluation result is generated in combination with an intelligent matching algorithm. According to the method, edge water seepage interference can be effectively avoided, the moisture diffusion process is accurately monitored, the performance of the asphalt mixture is comprehensively evaluated, and a scientific basis is provided for pavement structure design and material optimization.

The invention discloses a method and equipment for evaluating the sensitivity of shale porosity to the pH value of a well-entering fluid, and the method comprises the steps: obtaining a plurality of groups of experimental data of a shale sample, the experimental data comprising a first initial porosity and a first pH value of the well-entering fluid corresponding to the shale sample; a three-dimensional response curved surface model of the porosity increment, the initial porosity and the pH value is constructed according to the experimental data, the initial porosity comprises the first initial porosity, and the pH value comprises the first pH value; according to the three-dimensional response curved surface model, the target initial porosity of the target shale and the target pH value of the well entering fluid corresponding to the target shale, the target porosity increment of the target shale is predicted; and evaluating the sensitivity of the target shale to the second pH value according to the target porosity increment. According to the technical scheme provided by the invention, the porosity increment of the target shale can be predicted, and the sensitivity of well entering fluids with different pH values can be quantitatively evaluated based on the porosity increment.

The invention provides a method for determining microcosmic characteristic influence factors of a shale reservoir. The method comprises the steps of rock core observation, sampling and experiment, and lithofacies type division according to rock core observation and experiment results; performing characteristic evaluation on different types of lithofacies, and determining favorable lithofacies types; analyzing reservoir microscopic characteristics of different types of lithofacies; and according to an analysis result, determining factors influencing the microscopic characteristics of the reservoir. According to the method, favorable lithofacies and reservoir microscopic feature analysis can be comprehensively and effectively carried out, the evaluation accuracy is improved, and the accuracy is improved by 40% and reaches 90%; the working efficiency is improved, invalid work is avoided, the workload of two persons in 10 days is reduced to be completed by one person in 10 days, and lithofacies evaluation and reservoir microscopic feature influence factor analysis can be efficiently completed.

The invention provides a denoising method for a magnetic resonance spectrum based on Transform, and relates to the technical field of signal processing and artificial intelligence, and the method comprises the steps: firstly obtaining a noisy free induction decay signal (FID) and a corresponding label signal, constructing a training data set, converting the signal into a frequency domain signal through fast Fourier transform, and carrying out the amplitude normalization; a real part and an imaginary part of a frequency domain signal are respectively projected to a high-dimensional feature space, and are respectively sent to a multi-head self-attention mechanism-based multi-layer Transform encoder through two channels, so as to capture the global correlation of a long sequence. And the coded output is separated and decoded, a real part and an imaginary part are recovered respectively, and a denoised complex frequency domain signal is obtained through combination. In the training process, a complex mean square error is used as a loss function, and dynamic learning rate scheduling and an early stop mechanism are combined to improve convergence stability and model training efficiency.

The present invention belongs to the technical field of oil and gas exploration and development. Disclosed are a nuclear-magnetic-resonance-based method and system for characterizing the degree of miscibility of CO2 flooding. The method comprises: on the basis of a slim tube method, testing the minimum miscible pressure of crude oil of a target oil reservoir and CO2 (S101); on the basis of the minimum miscible pressure, conducting CO2 oil displacement experiments using cylindrical cores, collecting, in real time, two-dimensional weighted nuclear magnetic resonance images and multi-component T2 spectra of a fluid in the cores varying over time and space, synchronously collecting an outlet-end fluid, and conducting a chromatographic test to obtain chromatographic test data (S102); and on the basis of the two-dimensional weighted nuclear magnetic resonance images, the multi-component T2 spectra and the chromatographic test data, performing dynamically-changing qualitative and quantitative characterization on the degree of miscibility, so as to obtain qualitative and quantitative characterization results of the degree of miscibility of CO2 and the crude oil (S103).

The invention relates to a method and a device for determining the flow characteristic of CO2 in a porous medium and the distribution rule of CH4 in a pore space. The method comprises the following steps: (1) pretreating a sample; (2) system connection and air tightness inspection; (3) vacuumizing the system; (4) temperature control; (5) CH4 saturation and pressure stabilization; (6) displacement experiment and data acquisition; (7) monitoring outlet gas; and (8) data processing. The problem that in existing CO2 geological sequestration and enhanced gas production research, due to the fact that in-situ visualization of the pore size cannot be achieved, a microscopic displacement mechanism is unclear is solved, and the method aims at providing scientific basis and technical support for efficient exploitation of natural gas and effective geological sequestration of CO2.

The embodiment of the invention discloses a scanning NV probe microscope which comprises an atomic force microscopy system used for detecting surface topography information of a sample and an optical detection magnetic resonance system used for detecting surface magnetic field distribution information of the sample, and the atomic force microscopy system comprises a vibration arm and a diamond probe. The optical detection magnetic resonance system comprises an NV color center, a transition excitation light path and a fluorescence detection light path; a sample to be scanned and the transition excitation light path are respectively positioned on two opposite sides of the diamond probe, and the transition excitation light path and the fluorescence detection light path are positioned on the same side of the diamond probe; a first metal coating film is arranged on one side, close to the sample, of the diamond probe and is used for blocking surface fluorescence of the sample. According to the scanning NV probe microscope provided by the embodiment of the invention, the metal coating is arranged at the bottom of the diamond probe to block stray fluorescence from the surface of the sample, so that the problems of low magnetic field imaging signal-to-noise ratio and limited measurement precision of the existing scanning NV probe microscope are solved.

In a general aspect, orientation information is used to generate a unique code. In some aspects, orientation information is extracted from an object. The object includes multiple elements, and the orientation information indicates the relative spatial orientations of the respective elements. The orientation information can be extracted, for instance, by a scanner system that detects the elements. A unique code is generated for the object based on the orientation information. In some examples, the elements are diamond particles that each have one or more color centers, and the orientation information is extracted by detecting the color centers.

The invention provides a tight sandstone gas reservoir formation water division method based on mercury intrusion and online nuclear magnetic resonance, and relates to the field of gas reservoir formation water production, and the method specifically comprises the following steps: obtaining a tight sandstone core standard rock sample; cutting the rock core into two sections, and performing a high-pressure mercury injection experiment on the first section of the rock core; and scanning the nuclear magnetic resonance signal T2 spectrum curve of the rock core in the completely saturated water state and the area of the nuclear magnetic resonance T2 spectrum curve. And carrying out gas drive and nuclear magnetic scanning experiments. And sequentially increasing the displacement pressure differences to obtain a nuclear magnetic resonance correction curve under different displacement pressure differences. And drawing a water saturation and displacement pressure difference relation curve, and defining the critical pressure difference of different types of formation water production according to the curve form and the slope change rule. And processing the data to obtain the formation water production rule of the tight sandstone gas reservoir in different states. According to the technical scheme, the problem that in the prior art, the critical output pressure difference and the dynamic output rule of various types of formation water in different pore diameter ranges cannot be quantitatively represented is solved.

The invention relates to a shale full pore size distribution and connectivity quantitative characterization method. The method comprises the following steps: respectively determining a two-dimensional nuclear magnetic resonance T1-T2 spectrum and a nuclear magnetic resonance T2 spectrum of a dry sample core and a saturated oil core, carrying out a high-pressure mercury injection test on a parallel sample of the core, completing benchmarking of T2 and pore throat radius, and determining core communication aperture distribution; (2) splitting the rock core into sheets along the lamella, determining a two-dimensional nuclear magnetic resonance T1-T2 spectrum of the sheet-shaped dry sample rock core, comparing the two-dimensional nuclear magnetic resonance T1-T2 spectrum with the T1-T2 spectrum of the dry sample rock core, and calculating the distribution of the disconnected seams of the rock core; (3) grinding the rock core into 200-mesh particles, measuring the two-dimensional nuclear magnetic resonance T1-T2 spectrum of the granular dry sample rock core, comparing the two-dimensional nuclear magnetic resonance T1-T2 spectrum with the T1-T2 spectrum of the sheet-shaped dry sample rock core, and calculating the distribution of disconnected holes of the rock core; and (4) calculating shale full pore size distribution and connectivity. According to the method, nuclear magnetic resonance testing is carried out on shale in different states and forms, and quantitative characterization of shale full pore size distribution and connectivity of different storage spaces is achieved.

The invention discloses a sapphire window-based nuclear magnetic resonance device and a coal seam free gas volume correction method, the sapphire window-based nuclear magnetic resonance device comprises a computer, a gas cylinder assembly, a nuclear magnetic bearing platform, a coal sample holder, a stable displacement pump and a laser emitter, the gas cylinder assembly is connected with a left end inlet of the coal sample holder, and the coal sample holder is arranged on the nuclear magnetic bearing platform; a sapphire window is arranged on the coal sample holder, laser emitted by the laser emitter faces the sapphire window to observe a cylindrical coal sample in the coal sample holder, an outlet at the right end of the coal sample holder is connected with a test pipeline, and the coal sample holder is connected with a confining pressure control pipeline. Advanced technologies such as nuclear magnetic resonance and laser scanning are applied to the free gas content simulation experiment of the coal bed gas reservoir, and the tested data are more accurate. The device can also be used for permeability testing, methane adsorption experiments, displacement experiments and the like, test results are used for evaluating distribution characteristics of free gas in geological media such as coal seams and shale, and theoretical data support is provided for energy development in China.

The invention provides a nuclear magnetic resonance spectrogram analysis method and system, and relates to the technical field of mass spectrometry, and the method comprises the following steps: carrying out Fourier transform on an original FID signal of a to-be-detected solution to obtain a corresponding frequency domain signal; after carrying out phase correction processing on the frequency domain signal, determining positions of a plurality of candidate peaks from the frequency domain signal according to a second derivative; grouping the candidate peaks based on the distance parameter between the adjacent candidate peaks to obtain a plurality of first candidate peak groups; if the difference value between the maximum peak height and the minimum peak height of the candidate peaks is greater than a first preset threshold value, filtering partial candidate peaks in the first candidate peak group; if the difference value between the maximum peak value of the abnormal candidate peak group and the maximum peak value of the first candidate peak groups on the two sides is greater than a second preset threshold value, filtering the abnormal candidate peak group to obtain a target candidate peak group; and performing parameter fitting on the candidate peaks in the target candidate peak group by using a least square method, and determining the solvent peak position and the water peak position.

The invention relates to the technical field of oil-gas field development and reservoir protection, in particular to a low-permeability tight reservoir clay stabilizer mixing amount optimization method, which comprises the following steps: firstly, enabling a rock sample and clay stabilizer solutions with different concentration gradients to generate imbibition to obtain nuclear magnetic signal peak areas corresponding to different imbibition moments; obtaining a liquid inlet amount change rate K sequence and a permeability change rate K sequence; then obtaining a first weight coefficient alpha and a second weight coefficient beta; and finally, calculating a comprehensive decision index CDI sequence. Taking the concentration of the clay stabilizer solution corresponding to the permeability change rate K less than or equal to the maximum permeability damage threshold value Kmax and the minimum value of the comprehensive decision index CDI as the optimal clay stabilizer concentration; according to the method, accurate and differentiated optimization of the mixing amount of the clay stabilizer is achieved, the defects of an existing static evaluation method are overcome, and the method has important significance for protecting a low-permeability tight reservoir and improving the recovery ratio.

A sensor element is for testing a planar data carrier with a spin resonance feature. The sensor element includes a magnetic core having an air gap into which the planar data carrier can be inserted for testing purposes, a polarization device for generating a static magnetic flux in the air gap, and a resonator device for exciting the spin resonance feature of the data carrier to be tested in the air gap. The resonator device has at least two stripline resonators positioned at different positions in the air gap. The polarization device generates an in-homogeneous magnetic flux in the air gap so that the static magnetic flux has a first field strength at the position of a first stripline resonator and a second, different field strength at the position of a second stripline resonator.

The invention discloses a laboratory adsorption gas calculation method based on isothermal adsorption-nuclear magnetic resonance combined measurement, and relates to the technical field of exploration geophysics. According to the invention, on the basis of isothermal adsorption-nuclear magnetic resonance combined measurement experiment, 23MHz nuclear magnetic resonance experiment is utilized; nuclear magnetic signal conversion of bound water-adsorbed state methane is carried out through nuclear magnetic resonance T2 spectrums of coal rocks with different water saturations and T2 spectrums measured through a coal rock isothermal adsorption-nuclear magnetic resonance combined measurement experiment to obtain the hydrogen content of the adsorbed state methane, then the amount of substance of the adsorbed state methane is obtained, and finally the volume of the adsorbed state methane is obtained. The method comprises the following steps: firstly, measuring and determining the content of bound water in the coal rock by adopting a 25mm sample tube and the current minimum nuclear magnetism callback interval, then carrying out bound water-adsorbed gas nuclear magnetism signal conversion on the sample tube used in an isothermal adsorption-nuclear magnetism combined measurement experiment to obtain the hydrogen content of the adsorbed gas, further obtaining the amount of substance of the adsorbed gas, and finally obtaining the volume of the adsorbed gas.

The invention relates to the technical field of oil exploitation and processing, in particular to a logging-based two-dimensional nuclear magnetic resonance low-permeability conglomerate fluid property identification method, which comprises the following steps of: obtaining the sum of original fluid areas in an original state of a low-permeability conglomerate core through two-dimensional nuclear magnetic resonance; obtaining the sum of manganese-saturated fluid areas of the low-permeability conglomerate core in a manganese-saturated state through two-dimensional nuclear magnetic resonance; according to the sum of the original fluid areas of the low-permeability conglomerate core in the original state and the sum of the manganese-saturated fluid areas of the low-permeability conglomerate core in the manganese-saturated state, the remaining oil index of the low-permeability conglomerate is obtained; and determining the fluid property of the low-permeability conglomerate reservoir according to the remaining oil index of the low-permeability conglomerate. According to the method, the residual oil index of the low-permeability conglomerate reservoir is established in an intuitive representation mode, the calculation formula of the residual oil index is based on extraction of parameter characteristics in a two-dimensional nuclear magnetic resonance original state and a manganese-saturated state, and the low-permeability conglomerate fluid property can be effectively recognized.

The invention relates to the technical field of novel material chemical analysis, and discloses a triphenyl phosphate purity standard substance valuing method, which comprises the following steps: filtering, drying, dissolving and sterilizing a triphenyl phosphate sample; a triphenyl phosphate sample is comprehensively analyzed from different angles by comprehensively applying a GC-MS (Gas Chromatography-Mass Spectrometry) technology, an NMR (Nuclear Magnetic Resonance) technology, an infrared spectroscopy, a gas chromatography-flame ionization detector method, a Karl Fischer method and an inductively coupled plasma mass spectrometry, and finally, the purity value of the triphenyl phosphate purity standard substance is calculated by a mass balance method. The method provides a scientific and accurate technical means for quality control and standard formulation of the triphenyl phosphate product, has important practical application value for related industries in the fields of chemical engineering and material science, and is beneficial for improving the product quality and promoting industrial upgrading.

The invention discloses a triphenyl phosphate standard substance structure identification method, and relates to the technical field of fluorine-containing gas emission reduction, and the method comprises the following steps: obtaining a standardized analysis sample through fluorine-containing matrix separation, target substance enrichment and solvation treatment; a multi-dimensional chromatographic system and a heart cutting technology are adopted, and temperature programming optimization is combined to realize separation and purification of a sample; carrying out multi-dimensional structure analysis and confirmation by using gas chromatography-mass spectrometry, infrared spectroscopy and nuclear magnetic resonance technologies; a five-stage progressive identification algorithm is constructed, and systematic identification is realized by combining a confidence evaluation system and a fluorine-containing interference correction technology; establishing a structural integrity verification and purity quantitative evaluation standard, and outputting a standardized identification report; a method applicability database is established through multi-type fluorine-containing environment verification and process condition adaptability testing. The method effectively solves the problem of accurate identification of triphenyl phosphate in a complex fluorine-containing matrix, and realizes effective removal of interference components such as light gas, hydrofluorocarbon, perfluorinated compounds and the like.

The invention relates to the field of high-pressure pressure distribution calibration and imaging, in particular to a high-pressure diamond anvil cell internal pressure calibration / imaging system and method based on wide-field optical detection magnetic resonance. The invention discloses a high-pressure diamond anvil cell internal pressure calibration / imaging system based on wide-field optical detection magnetic resonance. The system comprises a fluorescence excitation and collection unit which comprises a wide-field optical detection magnetic resonance pressure distribution imaging light path based on nano-diamond NV color center fluorescence and a pressure calibration light path based on a ruby microsphere fluorescence spectrum. Compared with the prior art, the technical effects of the invention are that a traditional single-point detection mode is broken through through a wide-field microscopic imaging method, submicron spatial resolution and 0.0045 GPa / Hz1 / 2 noise measurement sensitivity are realized, and a brand new stress field characterization means is provided for a high-pressure experiment.

The invention belongs to the technical field of oil and gas reservoir engineering and multiphase seepage dynamic monitoring, relates to a characterization method of seepage behaviors of multiphase fluid in a porous medium, and particularly provides a dynamic construction method of a multiphase displacement capillary pressure-saturation relationship based on nuclear magnetic resonance. Comprising the following steps: S1, acquiring a low-field nuclear magnetic resonance relaxation spectrum of a porous medium in a gas-water two-phase displacement process; s2, determining two-phase fluid interfacial tension, a wetting contact angle and a rock surface relaxation rate; s3, determining the dynamic cut-off relaxation time of the displacement stage; s4, calculating equivalent capillary pressure; the residual water saturation is calculated, and the equivalent capillary pressure is the capillary pressure corresponding to the current displacement stage and is used for constructing a capillary pressure-saturation curve. According to the method, the capillary pressure change in the porous medium can be obtained only through spectral analysis without a centrifugal or mercury injection experiment.

The invention relates to the technical field of cotton yarn detection, and discloses a synchronous detection method for multiple performance indexes of cotton textile yarns. The method comprises the following steps: acquiring a current surface image parameter of a yarn body appearance layer, a current internal structure parameter of a fiber structure layer and a current molecular motion parameter of a molecular chain layer corresponding to a current production batch of to-be-detected yarn; performing layered performance analysis on each parameter to obtain a first current performance state evaluation value of the yarn body appearance layer, a second current performance state evaluation value of the fiber structure layer and a third current performance state evaluation value of the molecular chain layer; and finally, performing matching judgment on each evaluation value and a preset performance state evaluation reference range, and triggering a corresponding detection calibration operation according to a result. According to the method, multi-level parameters can be synchronously obtained, comprehensive performance evaluation is realized, the problems of single detection dimension, low efficiency, poor result association, lag and the like in the prior art are solved, the detection reliability and consistency are improved, and production quality control and process optimization are assisted.

The invention discloses a shale oil reservoir CO2 huff and puff miscible-phase region dynamic discrimination method. The method comprises the steps that nuclear magnetic resonance testing is conducted on a target oil reservoir core sample; the method comprises the following steps: scanning a target oil reservoir core sample, constructing a three-dimensional core pore structure model, introducing nuclear magnetic resonance data to calibrate initial fluid saturation, and establishing a dynamic displacement numerical simulation model in combination with a CO2-crude oil phase equation, an interfacial tension model and a core permeability heterogeneity parameter; designing a plurality of groups of huff and puff experiments, simulating a CO2 injection process, monitoring nuclear magnetic resonance signal changes of the rock core in a displacement process in real time, correcting fluid saturation, a pressure field and interfacial tension parameters in a dynamic displacement numerical simulation model, and dividing a miscible-phase region; and selecting an optimal development parameter combination based on mixed-phase region distribution under different transfer injection opportunities, soaking time and throughput turns. According to the method, accurate division and dynamic discrimination of the CO2 huff and puff mixed-phase region are realized.

The invention discloses an intelligent processing system for agricultural grain harvesting, and the system comprises a plurality of acoustic emission sensing units which are distributed in an array manner, are coupled to a threshing part, and are used for monitoring the micro-damage of grains; and the integrated multi-mode sensing unit is arranged on the grain conveying part and comprises a transmission type sensor for acquiring grain internal structure data, a spectrum sensor for acquiring grain surface chemical component data, a volatile organic compound sensor and a body moisture sensor. The system also includes a central data processor configured to: calculate a micro-damage index; generating a grain quality map; generating corruption risk features; and generating a system control signal for the agricultural harvesting device based on at least one of the microdamage index, the grain quality map, and the spoilage risk feature. The problems that internal damage cannot be monitored in real time, internal and external defects cannot be distinguished and moisture interference cannot be overcome in a harvesting field are solved.