69 results about "Transverse Relaxation Time" patented technology

The invention provides a nuclear magnetic resonance and image intelligent bimodal unfrozen water dynamic identification method and system, and belongs to the technical field of frozen soil engineering and geophysical exploration, and the method comprises the steps: sealing a frozen soil sample in a nuclear magnetic sample tube, and achieving the gradient cooling of the sample in a preset low temperature range through temperature control; scanning by using a nuclear magnetic resonance technology to obtain transverse relaxation time T2 spectrums and nuclear magnetic images of the frozen soil sample at different temperature nodes; after image preprocessing is carried out on the nuclear magnetic image, a temperature-signal intensity curve in the nuclear magnetic image is automatically extracted by utilizing an image recognition technology; carrying out integral calculation on a liquid water signal in the T2 spectrum, and dynamically calculating the content of the unfrozen water at each temperature based on a nuclear magnetic signal intensity formula; according to the method, a pore-fracture co-evolution matrix is constructed, accurate analysis of unfrozen water dynamic and pore evolution in the freezing and thawing process is realized, the method is suitable for hydrothermal coupling characteristic analysis of Qinghai-Tibet soil in a complex freezing and thawing environment, and reliable technical support is provided for stability evaluation of frozen soil engineering.

The invention belongs to the technical field of geophysical exploration, and relates to an underground water magnetic resonance longitudinal relaxation time detection method, which comprises the following steps: laying a magnetic resonance detection coil on the ground, fixing a short emission time, changing a current amplitude, emitting a plurality of short pulses, and collecting a short pulse observation signal generated by each short pulse; fixing a long emission time, re-emitting a series of long pulses with different current amplitudes, and collecting a long pulse observation signal generated by each long pulse; inverting the short pulse observation signal to obtain water content and transverse relaxation time distribution of underground water at different depths; and taking the water content and the transverse relaxation time distribution of the underground water at different depths as prior data of Bayesian inversion, and analyzing the long pulse observation signal by adopting Bayesian inversion to obtain longitudinal relaxation time distribution. According to the invention, a complex excitation sequence form is not needed, and a longitudinal relaxation signal of a short relaxation sample with a fast attenuation speed can be captured. The method is suitable for a high-power scene of field ground magnetic resonance detection.

The invention provides a transformer oil degradation detection method and device, a terminal and a computer storage medium, and the method comprises the steps: transmitting corresponding test radio frequency magnetic field pulse sequences to a transformer oil circulation pipeline based on a preset test magnetic field intensity group, so as to obtain corresponding test echo chain signals; performing inverse Laplace transformation on each test echo chain signal, and calculating each corresponding test transverse relaxation time distribution spectrum; acquiring a reference transverse relaxation time distribution spectrum corresponding to each test transverse relaxation time distribution spectrum; and respectively calculating the deviation value of each test transverse relaxation time distribution spectrum relative to the corresponding reference transverse relaxation time distribution spectrum, and obtaining the deterioration degree of the transformer oil in the transformer oil circulation pipeline based on each deviation value so as to realize online detection of the deterioration condition of the transformer oil.

An objective of the present invention is to provide a binder composition for non-aqueous secondary battery electrodes that makes it possible to reduce the internal resistance of a non-aqueous secondary battery. The present invention is a binder composition for non-aqueous secondary battery electrodes that contains a particulate polymer, wherein, when a least square method is used to waveform-separate a free induction decay curve of transverse relaxation of 1H measured by a pulse NMR solid echo method into two curves derived from two components, component A and component B, in ascending order of a transverse relaxation time T2, the component fraction αA of the A component of the particulate polymer is 1.0%-10.0%.

The invention discloses a method, system and equipment for determining the emulsification effect of a middle-phase microemulsion based on nuclear magnetic resonance, a medium and a product, and relates to the technical field of oil exploitation, and the method comprises the following steps: carrying out baseline correction, noise removal, normalization processing and Laplace inverse transformation on a spin echo intensity signal; obtaining an effective diffusion coefficient-effective transverse relaxation time combined distribution diagram, projecting the effective diffusion coefficient-effective transverse relaxation time combined distribution diagram in an effective diffusion coefficient direction, and solving by adopting a multi-peak Gaussian fitting model and a least square method according to the effective diffusion coefficients of different components to obtain an effective diffusion coefficient range; and integrating the effective diffusion coefficient-effective transverse relaxation time combined distribution diagram within the effective diffusion coefficient range so as to determine an effective transverse relaxation time distribution curve, obtaining a simulated oil peak area in a bicontinuous phase and a simulated oil peak area in an oil phase through integration, and calculating the emulsification effect of the middle-phase microemulsion. According to the method, the accuracy of calculating the emulsification effect of the to-be-detected middle-phase microemulsion can be improved.

This invention discloses a method and system for testing rock pore size distribution curves based on nuclear magnetic resonance (NMR) technology. The method includes: preprocessing the rock sample to be tested and obtaining the porosity and transverse relaxation time curves of the sample at room temperature and low temperature; obtaining the measured value of unfrozen water content by the ratio of low-temperature to room-temperature porosity, serving as an objective benchmark for verifying theoretical results; converting the room-temperature relaxation curve into a cumulative pore size distribution curve, fitting and extracting pore characteristic parameters, and substituting relevant characteristic parameters into a theoretical model to calculate the theoretical value of unfrozen water content; iteratively optimizing the transverse surface relaxation rate to ensure the deviation between the theoretical and measured values ​​meets accuracy requirements; establishing a precise correspondence between relaxation time and pore radius; and outputting the final pore size distribution curve. Each step is interconnected and mutually supportive, forming a complete logical closed loop. This provides reliable technical support for characterizing rock pore structure.

The invention relates to the technical field of power equipment operation inspection, in particular to a nuclear magnetic resonance transverse relaxation time spectrum-based composite insulator aging evaluation method, which comprises the following steps of: measuring a composite insulator sample by using a nuclear magnetic resonance spectrometer to obtain a transverse relaxation time distribution T2 spectral line of the sample, and extracting key characteristic parameters; and establishing a mapping relation model of the characteristic parameters and the aging degree, calculating an aging index, and realizing evaluation of the aging degree of the composite insulator and judgment of aging factors. According to the method, starting from the change of the microstructure of the material, the aging degree is represented through the nuclear magnetic resonance signal, the signal abnormity at the initial stage of aging can be detected when the appearance of the insulator has no obvious change, and an earlier basis is provided for formulating a maintenance strategy.

This disclosure provides a nuclear magnetic resonance (NMR) analysis method for establishing the chemical composition and condensed-state structure of fluorine-containing materials and its application. The method includes: placing fluorine-containing materials under different operating conditions in a single-sided NMR spectrometer; under a single-sided inhomogeneous magnetic field environment; presetting parameters for a spin echo pulse sequence; using the spin echo pulse sequence to excite fluorine and hydrogen nuclei in the fluorine-containing material to obtain coupled NMR signals of fluorine and hydrogen nuclei; determining echo peak data from the coupled NMR signals according to the preset parameters; processing the echo peak data according to the structural characteristics of the fluorine-containing material to obtain relaxation spectrum fingerprint data; performing data transformation on the relaxation spectrum fingerprint data to obtain transverse relaxation time data; and establishing a relaxation spectrum fingerprint database and a transverse relaxation time database of the coupling of fluorine and hydrogen nuclei in the fluorine-containing material based on the relaxation spectrum fingerprint data and transverse relaxation time data under different operating conditions.

The invention discloses a method, a system and equipment for determining saturation of liquid in a porous medium. The method for determining the saturation degree of the liquid in the porous medium comprises the following steps: determining the type of the porous medium according to the pore size distribution condition of the porous medium; if the porous medium is a single-scale porous medium, respectively obtaining a first nuclear magnetic resonance relaxation spectrum and a second nuclear magnetic resonance relaxation spectrum of the liquid in the porous medium when the liquid in the porous medium is in a saturated state and an unsaturated state; and obtaining the saturation of the liquid in the porous medium according to the first nuclear magnetic resonance relaxation spectrum, the second nuclear magnetic resonance relaxation spectrum and the bulk phase transverse relaxation time of the liquid. By adopting the method and the device, the liquid saturation condition in the porous medium can be better determined, and the method and the device are further suitable for analyzing the occurrence and transportation process of porous multiphase system fluids with complex pore sizes and phase state distribution conditions.

The present invention provides a full-aperture pore structure characterization method and device driven by multidimensional data, the method comprising: obtaining a target tight reservoir rock sample; subjecting the target tight reservoir rock sample to brine saturation treatment and a first nuclear magnetic resonance measurement to obtain the brine-saturated rock sample and the transverse relaxation time under brine saturation; subjecting the brine-saturated rock sample to high-pressure mercury injection and nitrogen adsorption to obtain high-pressure mercury injection and gas adsorption experimental data; calibrating the transverse relaxation time under brine saturation based on a full-aperture cumulative pore volume frequency distribution curve to obtain a transverse relaxation time pore size distribution curve based on nuclear magnetic resonance; subjecting the target tight reservoir rock sample to constant-rate mercury injection treatment to obtain a pore size distribution curve based on constant-rate mercury injection; determining the overlapping position of the transverse relaxation time pore size distribution curve based on nuclear magnetic resonance and the pore size distribution curve based on constant-rate mercury injection, and using the overlapping position as a joining point; and determining the full-aperture distribution range of the target tight reservoir.

The present application discloses a method, device and computing equipment for determining the lower limit of effective reservoir physical properties. The method includes: obtaining a first transverse relaxation time spectrum of any measurement point obtained by performing nuclear magnetic resonance logging on the target formation; calculating the first effective porosity of the measurement point based on the first transverse relaxation time spectrum of the measurement point; extracting the second transverse relaxation time spectrum of the invading mud from the first transverse relaxation time spectrum of the measurement point, and calculating the second effective porosity of the measurement point based on the second transverse relaxation time spectrum; establishing a first intersection diagram of the first effective porosity and the second effective porosity based on the first effective porosity and the second effective porosity of different measurement points; determining the inflection point of the first intersection diagram, and using the first effective porosity corresponding to the inflection point as the lower limit of the effective porosity of the target formation. This solution can improve the accuracy of determining the lower limit of effective reservoir physical properties, lower the data threshold, and improve the efficiency of determining the lower limit of effective reservoir physical properties.

The application provides a nuclear magnetic resonance and image intelligent dual-mode unfrozen water dynamic identification method and system, and belongs to the technical field of frozen soil engineering and geophysical exploration, and comprises the following steps: sealing a frozen soil sample in a nuclear magnetic sample tube, and realizing gradient cooling of the sample in a preset low temperature range through temperature control; scanning and acquiring a transverse relaxation time T2 spectrum and a nuclear magnetic image of the frozen soil sample at different temperature nodes by using a nuclear magnetic resonance technology; automatically extracting a temperature-signal intensity curve in the nuclear magnetic image by using an image recognition technology after image preprocessing of the nuclear magnetic image; performing integral calculation on liquid water signals in the T2 spectrum, and dynamically calculating the content of unfrozen water at each temperature based on a nuclear magnetic signal intensity formula; and constructing a pore-fracture collaborative evolution matrix, so that accurate analysis of the dynamic unfrozen water and pore evolution in a freezing and thawing process is realized, the water-heat coupling characteristics of Qinghai-Tibet soil under a complex freezing and thawing environment are analyzed, and reliable technical support is provided for stability evaluation of frozen soil engineering.

The invention discloses a nondestructive detection method, equipment, medium and product for the quality of Chinese wolfberry puree, and relates to the field of food detection.The method comprises the steps that the transverse relaxation time of Chinese wolfberry puree to be detected is determined through a low-field nuclear magnetic resonance analyzer, fitting is conducted through inverse Laplace transformation, and a first characteristic peak, a second characteristic peak and a third characteristic peak are obtained; determining a corresponding peak area proportion; when the transverse relaxation time is less than the set relaxation time and the proportion of the main peak signal is greater than the set proportion, determining that the to-be-detected Chinese wolfberry primary pulp is 100% pure Chinese wolfberry primary pulp; and carrying out weighted geometric averaging on the transverse relaxation time of the to-be-detected wolfberry puree to obtain weighted geometric average relaxation time, and determining the total sugar content, the total acid content and the total moisture content of the to-be-detected wolfberry puree by combining the first peak area proportion, the second peak area proportion and the third peak area proportion and utilizing the quality prediction model. According to the invention, rapid, nondestructive and on-line detection of the quality of the wolfberry puree can be realized.

The embodiment of the present invention relates to the technical field of downhole temperature correction, and discloses a downhole T2 spectrum temperature correction method and calculation device. The embodiment of the present invention obtains a second T2 spectrum by fitting a first T2 spectrum of a target layer according to a Gaussian distribution model, performs temperature correction of the transverse relaxation time on the characteristic points of the second T2 spectrum according to a first temperature correction formula to obtain a third T2 spectrum, then corrects the first nuclear magnetic total porosity of the target layer according to the second temperature correction formula to obtain a second nuclear magnetic total porosity at ground temperature, normalizes the third T2 spectrum to obtain a fourth T2 spectrum, and finally performs temperature correction of the porosity component of the fourth T2 spectrum according to the second nuclear magnetic total porosity to obtain a fifth T2 spectrum, thereby achieving temperature correction of nuclear magnetic data measured in a downhole high-temperature environment, thereby making the nuclear magnetic data measured in a downhole high-temperature environment suitable for an evaluation model established at normal ground temperature.

The invention provides a method and a system for determining diamond nitrogen vacancy color center intrinsic transverse relaxation time. The method comprises the following steps: acquiring a transverse relaxation time calibration value of a standard nitrogen vacancy color center diamond sample; respectively measuring the first transverse relaxation time and the second transverse relaxation time of the standard nitrogen vacancy color center diamond sample and the nitrogen vacancy color center diamond sample to be detected under the action of the non-uniform external magnetic field on the detection platform; according to the transverse relaxation time calibration value and the first transverse relaxation time, calculating the transverse relaxation time deviation of the standard nitrogen vacancy color center diamond sample under the action of the non-uniform external magnetic field; and according to the transverse relaxation time deviation and the second transverse relaxation time, calculating the intrinsic transverse relaxation time of the nitrogen vacancy color center diamond sample to be measured. According to the method and the system, an ultrahigh-uniformity static magnetic field environment with extremely high cost is not needed, the detection method is high in robustness, and the calibration accuracy of the to-be-detected sample in a complex or non-ideal experimental environment can be remarkably improved.

The present invention belongs to the field of geophysical exploration technology and is a method for detecting the longitudinal relaxation time of groundwater using magnetic resonance. The method comprises: laying a magnetic resonance detection coil on the ground, fixing a short emission time, varying the current amplitude to emit multiple short pulses, and collecting the short pulse observation signal generated by each short pulse; fixing a long emission time, re-emitting a series of long pulses with different current amplitudes, and collecting the long pulse observation signal generated by each long pulse; inverting the short pulse observation signal to obtain the water content and transverse relaxation time distribution of groundwater at different depths; using the water content and transverse relaxation time distribution of groundwater at different depths as prior data for Bayesian inversion, and employing Bayesian inversion to analyze the long pulse observation signal to obtain the longitudinal relaxation time distribution. The present invention can capture the longitudinal relaxation signal of samples with fast decay rates and short relaxation without the need for complex excitation sequences. The method is suitable for high-power scenarios in field ground magnetic resonance detection.

The invention discloses a low-field NMR relaxation time rapid measurement method, and the method comprises the steps: designing an IR-bSSFP pulse sequence which comprises a 180-degree reversal pulse and an excitation pulse sequence, and enabling the flip angle of a radio frequency excitation pulse in the excitation pulse sequence to be a pseudo-random flip angle; the radio-frequency phases of the adjacent radio-frequency excitation pulses are linearly changed by a fixed phase increment; based on the IR-bSSFP pulse sequence, obtaining a component MRF signal sequence of a measured object, and simulating a magnetization vector evolution process to obtain a dictionary matrix; matching the component MRF signal with a dictionary matrix pattern in combination with a smooth constraint term to obtain corresponding longitudinal relaxation time and transverse relaxation time; the invention also discloses low-field NMR relaxation time rapid measurement equipment, which comprises a pulse sequence construction module, a dictionary generation module and a mode matching module. Multi-parameter information can be obtained through single scanning, the measurement time is remarkably shortened, the experiment complexity is reduced, and the precision and repeatability of a measurement result are improved.

This specification provides a method and device for determining the pore size distribution of reservoir cores. The target core to be tested is divided into a first layer and a second layer, and a nuclear magnetic resonance test is performed on the target core to be tested to obtain a first correspondence between the transverse relaxation time and the nuclear magnetic resonance signal intensity in the first layer, and a second correspondence between the transverse relaxation time and the nuclear magnetic resonance signal intensity in the second layer; a third correspondence between the pore throat diameter and the crude oil content in the first layer is obtained through a laser confocal microscope; based on the first and third correspondences, the parameters in the target relationship between the transverse relaxation time and the pore throat diameter are fitted to obtain the target relationship; based on the target relationship, the second correspondence, and the nuclear magnetic resonance signal intensity in the second layer, the distribution information of the pore throat diameter in the second layer is determined. Based on the above method, it is possible to improve the accuracy of pore size characterization in oil reservoirs without destroying the core.

The invention relates to the technical field of rock physical analysis in oil-gas exploration and development, and particularly provides a shale full-size pore structure characterization method which comprises the following steps: acquiring high-pressure mercury injection experimental data and nuclear magnetic resonance experimental data of a shale sample, dividing a pore system of the shale sample into a small pore section and a large pore section by an inflection point of fractal dimension, respectively fitting the pore throat radius of the small pore section and the pore throat radius of the large pore section with the transverse relaxation time to obtain two groups of conversion coefficients, respectively inverting the pore diameter distribution curve of the small pore section and the pore diameter distribution curve of the large pore section by utilizing the two groups of conversion coefficients, and carrying out segmented integration according to the intersection point of the two curves to characterize the full pore diameter distribution of the shale sample. According to the method, a fractal inflection point division pore system is introduced, deep structure information is excavated by utilizing a fractal theory, segmentation fitting is carried out, and the technical problems that a traditional HPMI-NMR conjoint analysis method is insufficient in precision under the conditions of large displacement pressure, low mercury injection saturation and strong heterogeneity are solved.

The invention relates to the technical field of geological exploration, in particular to a dessert interval determination method and device, a storage medium and a computer program.The method comprises the steps that distribution information of one-dimensional nuclear magnetic transverse relaxation time T2 and distribution information of longitudinal relaxation time T1 of rock samples of different depths of a continental facies shale oil and gas reservoir are obtained, sorting the distribution information of the transverse relaxation time T2 and the distribution information of the longitudinal relaxation time T1 of each rock sample along the corresponding depth of each rock sample to obtain pore size distribution information and oil-water distribution information of the continental facies shale oil and gas reservoir; and determining the sweet spot interval of the continental facies shale oil and gas reservoir according to the pore size distribution information and the oil-water distribution information. According to the method and the device, the oil content conditions of the reservoirs can be compared more visually, and the dividing efficiency and accuracy of the dessert layer sections are improved.

A method for generating a property representation of a substance is described. The method comprises: obtaining portions of one or more nuclear magnetic resonance (NMR) data of the substance, where each NMR data portion comprises one or more NMR datasets, each NMR dataset comprising intensity data and relaxation data; processing each NMR data portion into a multi-dimensional distribution of a fitting data set by performing a plurality of fits of a function, where the function includes at least 3 fitting parameters; and generating a characteristic representation of the substance from the fitting data set. The processing includes applying at least one initial guess value. Each set of fitting data comprises data embedded with at least one subset of fitting data comprising an apparent longitudinal relaxation time (T1 *), an associated apparent transverse relaxation time (T2 *) and an associated intensity (M0), preferably said function being a function of a model representing the obtained NMR data portion.

The invention belongs to the technical field of oil exploration logging, and discloses a drilling rock debris porosity measurement method, which comprises the following steps: selecting drilling rock debris particles with different particle sizes at a target layer as measurement samples; cleaning the measurement sample; removing water on the surface of the cleaned measurement sample; determining the appearance volume of the measurement sample after the surface water is removed; performing a nuclear magnetic resonance experiment on the measurement sample to obtain a transverse relaxation time T2 spectrum of the measurement sample; and obtaining the porosity of the measurement sample based on the transverse relaxation time T2 spectrums of the standard sample and the measurement sample. According to the method, the representative sample is selected, and the processes of cleaning, drying and appearance volume measurement of the detected sample are optimally designed, so that the technical problems that rock debris particles are fine, surface water is difficult to wipe away, and the appearance volume of the rock debris is difficult to accurately determine after drilling by the PDC drill bit are solved; a new thought is provided for measuring the porosity of the fine drilling cuttings, and technical support is provided for oil exploration logging.

This invention provides a silica sol and polishing composition that has a large amount of water trapped on the surface of silica particles, can maintain this state of trapped water even under high-temperature conditions, and exhibits high dispersion stability even when the temperature is increased. [Solution] A silica sol containing silica particles, wherein the transverse relaxation time of nuclide 1H at a temperature of 25°C, as measured by the CPMG method using a pulsed NMR spectrometer, is 400 ms or less, and the temperature dependence of the transverse relaxation time obtained by subtracting the transverse relaxation time at 25°C from the transverse relaxation time at 40°C is less than 100 ms.

The embodiment of the invention discloses a reservoir fluid identification method and device, electronic equipment and a storage medium. The method comprises the following steps: processing a full-diameter rock core of a target interval by adopting a nuclear magnetic resonance sequence in a mode of alternating first waiting time and second waiting time, and determining first transverse relaxation time distribution; applying a pulse gradient magnetic field to the full-diameter rock core, acquiring a first echo signal at a first preset echo interval, and determining a first fluid diffusion coefficient of the full-diameter rock core according to the first preset echo interval and the first transverse relaxation time distribution; determining a second fluid diffusion coefficient of formation water of the target layer section and a third fluid diffusion coefficient of crude oil; the first fluid diffusion coefficient is compared with the second fluid diffusion coefficient and the third fluid diffusion coefficient, and the fluid property of the target layer section reservoir is determined. By adopting the scheme, the precision of the signal-to-noise ratio, the transverse relaxation time distribution and the fluid diffusion coefficient of the small pores can be improved, so that the fluid property identification precision is improved.

The application discloses a kind of based on diagenetic facies classification nuclear magnetic logging inversion granularity parameter method, comprising the following steps: S1: carry out nuclear magnetic resonance and granularity analysis test experiment, obtain saturated water T2 spectrum cumulative curve and granularity cumulative curve;S2: draw transverse relaxation time T2-particle size relationship curve, scale range division is carried out to particle size, obtain the relationship formula one of transverse relaxation time T2 and particle size under each scale range;S3: the diagenetic lithofacies type of target area is divided;S4: with diagenetic lithofacies type as constraint, relationship formula one is optimized, and the relationship formula two of transverse relaxation time T2 and particle size under different diagenetic lithofacies types and different scale ranges is obtained;Establish the standard of logging curve identification diagenetic lithofacies;S5: obtain the logging curve of target wellbore profile, identify the diagenetic lithofacies of target wellbore profile, and obtain the continuous granularity parameter of target wellbore profile by inversion in combination with relationship formula two.The present application can quantitatively invert the particle size distribution on wellbore profile by nuclear magnetic logging.

The present invention relates to the technical field of food safety analysis. The present invention provides a method for detecting methicillin-resistant Staphylococcus aureus based on CRISPR / Cas12a magnetic relaxation sensor, comprising the following steps: extracting genomic DNA of a sample to be tested; preparing MNP-ploy-ALP and performing trans-cutting on it using target-activated Cas12a; magnetic separation, adding phosphorylated ascorbate to the supernatant; adding Cu(II), azide-MNP conjugate and alkynyl-MNP conjugate; magnetic separation, unbound azide-MNP conjugate as a signal probe, measuring the transverse relaxation time of the corresponding solution to calculate the target content in the sample to be tested. The present invention can achieve high-sensitivity detection of MRSA without the need for nucleic acid pre-amplification, avoids the cross-contamination risk brought by traditional target nucleic acid amplification, and provides a highly sensitive, accurate and rapid method for the detection of MRSA in food safety.

The invention provides a shale oil reservoir pore structure correction method and device, equipment and a medium. The method comprises the following steps: performing nuclear magnetic resonance test on first shale to obtain a one-dimensional nuclear magnetic T2 spectrum and a two-dimensional nuclear magnetic T1-T2 spectrum of the first shale; t1 represents longitudinal relaxation time, and T2 represents transverse relaxation time; identifying the one-dimensional nuclear magnetic T2 spectrum to obtain a first signal amplitude of the first shale; identifying the two-dimensional nuclear magnetic T1-T2 spectrum to obtain a second signal amplitude of the first shale; establishing an incidence relation between the first signal amplitude and the second signal amplitude; the association relationship is used for determining an amplitude conversion relationship between a one-dimensional nuclear magnetic T2 spectrum and a two-dimensional nuclear magnetic T1-T2 spectrum corresponding to the skeleton signal of the first shale; and correcting the pore structure of the target to-be-corrected shale based on the amplitude conversion relation and the one-dimensional nuclear magnetic T2 spectrum and the two-dimensional nuclear magnetic T1-T2 spectrum of the target to-be-corrected shale in the saturated state. Therefore, the nuclear magnetic porosity and pore size distribution of the shale oil reservoir can be accurately determined.

The application provides a shale oil reservoir pore structure correction method, device, equipment and medium; relates to the pore structure correction technical field, and the method comprises the steps of: carrying out nuclear magnetic resonance test on the first shale to obtain one-dimensional nuclear magnetic T2 spectrum and two-dimensional nuclear magnetic T1-T2 spectrum of the first shale; T1 represents longitudinal relaxation time, and T2 represents transverse relaxation time; identifying the one-dimensional nuclear magnetic T2 spectrum to obtain the first signal amplitude of the first shale; identifying the two-dimensional nuclear magnetic T1-T2 spectrum to obtain the second signal amplitude of the first shale; the correlation between the first signal amplitude and the second signal amplitude is established; the correlation is used to determine the amplitude conversion relationship of the one-dimensional nuclear magnetic T2 spectrum and the two-dimensional nuclear magnetic T1-T2 spectrum corresponding to the skeleton signal of the first shale; based on the amplitude conversion relationship, the one-dimensional nuclear magnetic T2 spectrum and the two-dimensional nuclear magnetic T1-T2 spectrum of the target shale under the saturated state, the pore structure of the target shale to be corrected is corrected. In this way, the nuclear magnetic porosity and pore size distribution of the shale oil reservoir can be accurately determined.

The invention provides a compact glutenite reservoir classification method, a compact glutenite reservoir classification device, a medium and a product. The compact glutenite reservoir classification method comprises the following steps: acquiring a plurality of transverse relaxation time spectrum curves of a to-be-classified reservoir; classifying the plurality of transverse relaxation time spectrum curves to obtain a plurality of curve types and a plurality of classified transverse relaxation time spectrum curves corresponding to each curve type; determining a conversion relation between the corresponding relaxation time and the pore throat radius according to the plurality of classified transverse relaxation time spectrum curves; determining a multi-component index corresponding to the curve type according to the plurality of classified transverse relaxation time spectrum curves and a conversion relation between the relaxation time and the pore throat radius; calculating a movable fluid aperture ratio, a classification coefficient and reservoir permeability corresponding to the curve type; determining an identification standard of the reservoir type corresponding to the curve type according to the aperture ratio of the movable fluid, the classification coefficient, the reservoir permeability and the multi-component index; and according to the identification standard, the reservoir classification of the to-be-classified reservoir is determined, and the calculation precision of the compact glutenite reservoir is improved.

The present invention provides a calibration method for a multiphase flow nuclear magnetic resonance flowmeter, the method comprising: sampling a multiphase flow to be measured to obtain a multiphase flow sample; measuring the first amplitude of a free decay signal corresponding to the multiphase flow to be measured and the multiphase flow sample using a multiphase flow nuclear magnetic resonance flowmeter, and determining the gas-liquid volume ratio of the multiphase flow to be measured and the hydrogen index of each phase fluid based on the first amplitude of the free decay signal; transmitting a pulse sequence to the multiphase flow to be measured using a multiphase flow nuclear magnetic resonance flowmeter to measure an attenuation curve, determining a transverse relaxation time based on the attenuation curve, and determining an effective attenuation curve interval and a component content ratio of the multiphase flow to be measured based on the transverse relaxation time. The present invention realizes the application of nuclear magnetic resonance fluid detection technology to industrial measurement sites, performs online, green, non-invasive, full-scale detection of complex fluid flow, and realizes on-site calibration before the instrument is used.