315results about "Detection using electron/nuclear magnetic resonance" patented technology

The invention belongs to the field of magnetic resonance measurement signal noise filtering, and particularly relates to a ground magnetic resonance signal sparse denoising method of a combined dictionary, which comprises the following steps: reconstructing a power frequency harmonic component of a magnetic resonance signal according to frequency bands, and eliminating power frequency harmonics from the magnetic resonance signal to obtain a power frequency-removed signal; constructing a track matrix Z by adopting a Gaussian random matrix, constructing a track matrix Y by adopting a power frequency-removed signal, taking first K columns of the track matrix Z and normalizing to obtain an initial dictionary D, and using the track matrix Y as an original sample for constructing a sparse coefficient matrix X; updating the initial dictionary D and the sparse coefficient matrix X through K-SVD dictionary learning, and reconstructing a track matrix by adopting the updated dictionary # imgabs0 # and the sparse coefficient matrix # imgabs1 # to obtain a track matrix W; and obtaining a pure magnetic resonance signal by taking the first row of the track matrix W, and realizing effective removal of MRS signal noise in a complex electromagnetic interference scene under the condition of single signal acquisition.

A method may include determining various adaptive weights using a machine-learning model, first simulation data, and second simulation data. The method may further include determining predicted simulation data for a time step of the reservoir simulation using the adaptive weights, the first simulation data, the second simulation data, grid model data, and various reservoir simulation parameters. The method may further include determining whether the predicted simulation data satisfies a predetermined criterion. The method may further include determining, in response to determining that the predicted simulation data fails to satisfy the predetermined criterion, updated simulation data for the time step of the reservoir simulation based on the predicted simulation data, the grid model data, the reservoir simulation parameters, a search method, and the reservoir equations.

Described herein are systems and techniques for improving accuracies of determinations made using a nuclear magnetic resonance (NMR) sensing device when the NRM sensing device collects data in a wellbore. NMR sensing devices include a magnet that provides a magnetic field that aligns the spins of protons in substances near the NMR sensing device. The magnetic field strength provided by this magnet affects the sensitivity of the NMR sensing device and affects frequencies that the NMR sensing device effectively uses when the NMR sensing device operates. Furthermore, the field strength of magnets used in an NMR sensing device varies with temperature. Since temperatures within a wellbore vary significantly and since these temperatures affect how an NMR sensing device operates, systems and techniques of the present disclosure collect calibration data in a calibration chamber such that data sensed by the NMR sensing device can be interpreted more accurately when temperatures change.

The invention relates to the technical field of underground magnetic resonance detection, in particular to a multi-scale underground nuclear magnetic resonance detection signal denoising method and system. Comprising the following steps: acquiring underground nuclear magnetic signal data, and converting the underground nuclear magnetic signal data into an underground nuclear magnetic signal spectrogram; an encoder is adopted to extract multi-scale features from the underground nuclear magnetic signal spectrogram by dynamically adjusting the size of a convolution kernel, important information features of the multi-scale features are enhanced through a self-attention mechanism, and the multi-scale features are compressed to a potential space after being subjected to residual denoising to form real signals; generating a forged signal from the low-dimensional noise vector in the potential space by adopting a generator; the authenticity of the forged signal is judged by a discriminator and fed back to a generator, and the generator adjusts own parameters according to the feedback, so that the forged signal is close to a real signal; and a de-noised signal is obtained by recovering the space structure of the forged signal through the decoder. The method does not need pure signal pairing, is suitable for a complex underground nuclear magnetic detection environment, and improves the signal quality and the detection precision.

The invention belongs to the technical field of shale oil exploration and development, and particularly relates to a two-dimensional nuclear magnetic resonance logging fluid saturation calculation method and system. The calculation method comprises the following steps: acquiring attribute data of a reservoir; determining lithology sensitive parameters and shale indexes of the reservoir according to the attribute data; determining a reservoir type according to the attribute data, the lithology sensitive parameters and the shale index; determining a fluid identification model of the reservoir according to the reservoir type and the nuclear magnetic resonance response characteristics; and calculating the fluid saturation of the reservoir by using the fluid identification model. When reservoir fluid identification and fluid saturation quantitative calculation are carried out, multiple reference indexes are referred to at the same time, then the reservoir fluid saturation of the reservoir can be accurately calculated, and the identification accuracy is high.

A method may include obtaining core image data regarding a geological region of interest. The method may further include obtaining well log data regarding the geological region of interest from one or more wells. The method may further include determining a sliding window that corresponds to a predetermined window size. The method may further include determining various quantitative image attributes using the core image data, the well log data, and the sliding window. The quantitative image attributes may be determined in a continuous manner by moving the sliding window along the core image data. The method may further include generating predicted rock data for the geological region of interest using the quantitative image attributes, a machine-learning algorithm, and a machine-learning model.

Described herein are systems and techniques for improving an accuracy of determinations made using data sensed in a wellbore or in a laboratory. Nuclear magnetic resonance (NMR) sensing devices may be used to collect data in a wellbore or lab. NMR sensing devices include a magnet (e.g., a permanent magnet or electromagnet) that provides a magnetic field that aligns the spins of protons / nuclei in substances near the NMR sensing device. The magnetic field strength provided by the magnet of the NMR sensing device affects the sensitivity of the NMR sensing device and affects frequencies that the NMR sensing device effectively uses when the NMR sensing device operates. Systems and techniques of the present disclosure may measure concentrations of lithium in brine deposits when identifying particular brine deposits that include sufficient lithium concentrations to justify extracting lithium from those particular brine deposits.

The disclosure relates to a multi-probe NMR rock soil in-situ monitoring method, which includes: placing a multi-probe component to a target layer in a soil drill hole, where the multi-probe component includes NMR probes respectively located at the soils at different depths and having different measurement frequencies; performing in-situ NMR measurement on soils at different depths at the same time; by using a spectrometer component, receiving measurement signals from all NMR probes and performing frequency mapping analysis to distinguish NMR raw measurement data collected by each NMR probe; by using the spectrometer component, transmitting the raw measurement data to an industrial control computer to perform an inversion processing on the measurement data of the NMR probes and obtain T2 distribution mapping of the soils at different positions; based on the T2 distribution mapping, obtaining a water ratio of soil, a soil-water characteristics curve, soil non-homogeneity information and oil pollutant information.

The invention belongs to the technical field of nuclear magnetic resonance sounding, and relates to a magnetic resonance random noise intelligent suppression method and system based on dynamic weighting, and the method comprises the steps: employing a forward conversion path to enable a Y-domain noisy signal to generate a pseudo-X-domain pure signal, or enable a pseudo-Y-domain noisy signal to generate a reconstructed X-domain pure signal; generating the pure signal of the pseudo X domain into a reconstructed noisy signal of the Y domain by adopting a reverse conversion path, or generating the pure signal of the X domain into a noisy signal of the pseudo Y domain; performing forward feature authenticity evaluation calculation on the pure signal of the pseudo X domain; performing reverse feature authenticity evaluation calculation on the noisy signal of the pseudo Y domain; alternately optimizing the two conversion paths; and de-noising processing is carried out on the actually measured noisy data by adopting the optimized forward conversion path. The suppression effect on random interference in actual field detection signals with more complex noise conditions and lower signal-to-noise ratios is enhanced.

Described herein are systems and techniques for improving an accuracy of determinations made using data sensed in a wellbore or in a laboratory. Nuclear magnetic resonance (NMR) sensing devices may be used to collect data in a wellbore or lab. NMR sensing devices include a magnet (e.g., a permanent magnet or electromagnet) that provides a magnetic field that aligns the spins of protons in substances near the NMR sensing device. The magnetic field strength provided by the magnet of the NMR sensing device affects the sensitivity of the NMR sensing device and affects frequencies that the NMR sensing device effectively uses when the NMR sensing device operates. Systems and techniques of the present disclosure may measure concentrations of lithium in brine deposits when identifying particular brine deposits that include sufficient lithium concentrations to justify extracting lithium from those particular brine deposits.

The present invention discloses a detachable test device for testing the anti-scouring performance of grouting materials under the action of dynamic water, the detachable test device for testing the anti-scouring performance comprises a dynamic water supply unit, a test water tank unit and a wastewater circulation unit, wherein: the dynamic water supply unit is connected to the test water tank unit to provide it with dynamic water of different flow rates, the wastewater flowing out of the test water tank unit enters the wastewater circulation unit, and the wastewater circulation unit is connected to the dynamic water supply unit through a return pipe. The grouting material anti-scouring performance test device of the present invention can simulate the anti-dispersion performance of dynamic water grouting materials under different flow rates, and a detachable test plate is designed, which can simulate the roughness of different grouting environment formations by adjusting the density and height of the synapse. And the mass of the detachable test plate can be directly measured at the end of the test to reduce the measurement error of the slurry retention rate test. In addition, a multi-pass filtration wastewater circulation device is designed to efficiently utilize the test water.

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 ground nuclear magnetic resonance underground water inversion method and device, equipment and a storage medium. The method comprises the following steps: acquiring a ground detection nuclear magnetic resonance observation data envelope, a ground nuclear magnetic resonance forward modeling data envelope signal and an initial inversion model space parameter; mapping the space parameters of the initial inversion model in a preset range to obtain the updating parameters of the current iteration model; wherein the preset range is a numerical range meeting hydrogeological significance; constructing a ground nuclear magnetic resonance inversion objective function according to ground detection nuclear magnetic resonance observation data envelope, ground nuclear magnetic resonance forward modeling data envelope signals and current iteration model updating parameters; the ground nuclear magnetic resonance inversion objective function is solved through a quasi-Newton method, and updating parameters of a next-round iteration model are obtained; and if the difference value between the current-round iteration model updating parameter and the next-round model updating parameter is smaller than a preset error, taking the next-round model updating parameter as an inversion result. The accuracy of an inversion result can be improved.

The invention is applicable to the related technical field of mounting brackets, and provides a nuclear magnetic resonance water exploration instrument mounting bracket which comprises a base plate and a supporting plate, and the base plate is of a triangular structure; the self-adaptive fixing mechanism is used for fixing the nuclear magnetic resonance water exploration instrument main body, and a fine adjustment mechanism used for adjusting the working position of the self-adaptive fixing mechanism is arranged on the supporting plate; the self-adaptive leveling supporting mechanism is used for fixing the base plate on the ground and is arranged on the base plate; the position control mechanism is used for preliminarily adjusting the working position of the supporting plate and comprises a lifting threaded rod, a guide piece, a lifting plate, a push-pull rod and a connecting seat; through cooperative arrangement of the self-adaptive fixing mechanism, the fine adjustment mechanism, the position control mechanism and the like, the problems that a traditional installation mode is difficult to meet the diversified adjustment requirements, and the function exertion and the application range of the nuclear magnetic resonance water exploration instrument are limited are solved.

Described herein are systems and techniques for improving accuracies of determinations made using a nuclear magnetic resonance (NMR) sensing device when the NRM sensing device collects data in a wellbore. In certain instances, determinations made from NMR measurement data may not correspond to measurements made by other types of sensing equipment. For example, determinations of pore sizes made from evaluating sets of capillary pressure data may not correspond to determinations made from data sensed during an NMR test. Since the accuracy of determinations regarding wellbore petrophysical parameters made from data sensed by sensing equipment can affect the efficiency and profitability of a wellbore operation, and since NMR sensing devices are more deployable in a wellbore than other forms of test equipment, systems and techniques of the present disclosure are directed to improving the accuracy of petrophysical parameters determinations made from data sensed by NMR sensing devices.

The invention belongs to the technical field of geophysical exploration, and relates to a ground magnetic resonance real-time active noise reduction device and method, and the device comprises a detection coil which is used for collecting a nuclear magnetic signal after noise cancellation; the reference coil is used for collecting environmental noise, is coplanar with the detection coil and is placed at a position far away from the detection coil; the noise counteracting coil is placed above the detection coil in an overlapping manner; and the FPGA module is used for receiving the nuclear magnetic signal acquired by the detection coil after noise cancellation and the environmental noise acquired by the reference coil, and introducing correspondingly changing current into the noise cancellation coil according to the environmental noise so as to generate a changing magnetic field, so that the detection coil induces a cancellation response which has the same amplitude as the noise of the detection coil and is opposite to the noise of the detection coil in phase. According to the invention, the noise can be suppressed in real time at the source end of the instrument, and the anti-interference and weak signal detection capabilities of the ground magnetic resonance instrument in a complex electromagnetic environment are remarkably enhanced.

The invention discloses a lithogenous phase classification-based nuclear magnetic well logging particle size parameter inversion method, which comprises the following steps of S1, carrying out nuclear magnetic resonance and particle size analysis test experiments to obtain a saturated water T2 spectrum accumulation curve and a particle size accumulation curve; s2, drawing a transverse relaxation time T2-particle size relation curve, performing scale range division on the particle size, and obtaining a relational expression I of the transverse relaxation time T2 and the particle size in each scale range; s3, diagenetic lithofacies types of the target area are divided; s4, by taking the diagenetic lithofacies type as a constraint, optimizing the relational expression 1 to obtain a relational expression 2 between the transverse relaxation time T2 and the particle size under different diagenetic lithofacies types and different scale ranges; establishing a standard for identifying diagenetic lithofacies of the logging curve; and S5, obtaining a logging curve of the target wellbore profile, identifying diagenetic lithofacies of the target wellbore profile, and obtaining continuous granularity parameters of the target wellbore profile in combination with second inversion of the relational expression. According to the method, the particle size distribution on the wellbore section can be accurately and quantitatively inverted by using nuclear magnetic logging.

The invention belongs to the technical field of geophysical methods, and particularly discloses a method and system for extracting transient electromagnetic signals through ground nuclear magnetic resonance. The method comprises the following steps: periodically transmitting nuclear magnetic resonance excitation pulses to an underground medium, and extracting nuclear magnetic resonance turn-off pulses as transient electromagnetic excitation signals at the turn-off stage of each nuclear magnetic resonance excitation pulse; after each nuclear magnetic resonance excitation pulse is turned off, detecting a transient electromagnetic response signal; and when the last nuclear magnetic resonance excitation pulse is turned off, collecting a nuclear magnetic resonance response signal. According to the invention, the high-energy turn-off pulse is directly extracted as the transient electromagnetic excitation signal in the turn-off stage of the nuclear magnetic resonance excitation pulse, so that the overall signal utilization efficiency and excitation capability of the system are remarkably improved.

The invention relates to the field of field groundwater magnetic resonance detection methods, in particular to an augmentation system and method for field groundwater magnetic resonance detection small sample data. Comprising a generation network configured to receive random noise and generate augmented data based on the random noise; the discrimination network comprises a time domain discrimination network and a frequency domain discrimination network; the generative network and the time domain discrimination network form a first discrimination channel, the generative network and the frequency domain discrimination network form a second discrimination channel, and in the second discrimination channel, augmented data generated by the generative network and the noisy data are jointly input into the frequency domain discrimination network; the frequency domain discrimination network is used for discriminating whether the source of input data is a generation network or noisy data in a frequency domain. According to the method, a magnetic resonance detection small sample noisy data set is established, and multi-scale features in an amplitude spectrum and a phase spectrum are captured through the frequency domain discrimination network; the collaborative driving generation network generates a high-quality sample which is close to small sample noisy data in waveform form and spectral characteristics.

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 discloses a reservoir fluid identification method and system based on nuclear magnetic T2 spectrum morphological parameters, and the method comprises the following steps: calculating nuclear magnetic T2 spectrum morphological parameters based on nuclear magnetic logging data; constructing sample data according to the interpretation conclusion of the reservoir position and the T2 spectrum morphological parameters; training a pre-established fluid identification model by using the sample data; and inputting the target nuclear magnetic logging data into the trained fluid identification model to obtain a reservoir fluid identification result. And the fluid identification model is a Transform model. According to the method, an intelligent learning algorithm is adopted, rapid and effective reservoir fluid identification is realized based on nuclear magnetic T2 spectrum morphological parameters, the influence of human experience factors is reduced, and the fluid identification model can learn the form of the nuclear magnetic T2 spectrum corresponding to each explanation conclusion according to the label value; therefore, the reservoir fluid property can be quickly and effectively determined according to the morphological parameters of the new well T2 spectrum.

Described herein are systems and techniques for improving the accuracy of computer models that determine properties of subterranean rock formations. Such systems and methods may perform multiple sets of calculations using data collected by different types of sensing devices that may be deployed in a wellbore. For example, a first set of inversions may be made on data collected by an electromagnetic (EM) sensing device and a second set of inversions may be made using EM data and data collected by a gamma ray (GR) sensing device. Such methods may be useful when making determinations regarding subterranean features that include laminated structures. For example, when rock structures include layers of sand and layers of shale.

The embodiment of the present application provides a nuclear magnetic resonance intelligent adaptive data acquisition and processing method and device, which relates to the field of data processing technology. The method includes: in an initial observation mode, setting initial measurement parameters for the instrument, and using the values ​​of the measurement parameters to transmit a pulse sequence and collect data; preprocessing and inverting the collected data to obtain an inversion result; optimizing the measurement parameters according to the inversion result, and transmitting and collecting the next round of pulse sequences according to the optimized measurement parameters, so as to improve the quality of downhole nuclear magnetic resonance logging data acquisition and reduce the emission energy consumption of the downhole nuclear magnetic resonance instrument, thereby obtaining more efficient and accurate detection of formation fluid signals and providing high-quality data for reservoir evaluation.

The invention relates to a method and a system for predicting a pore throat structure by fusing various logging curve data, and relates to the field of structure prediction.A pore throat structure topology library is constructed, cross plot analysis of various conventional logging curves is combined, lithology distribution probability is predicted by utilizing a machine learning model, and pore throat structure topology and lithology probability distribution are fused, so that the lithology distribution probability is predicted. According to the method, the probability distribution matrix of the pore throat structure is accurately calculated on each depth point along the well track, and finally verification and optimization are performed through nuclear magnetic logging data, so that the technical problems of difficulty in accurate and efficient prediction of the reservoir pore throat structure, high oil-gas exploration cost and low efficiency are solved, accurate prediction of the reservoir pore throat structure is realized, and the prediction efficiency of the reservoir pore throat structure is improved. And the efficiency and the accuracy of oil-gas exploration and development are improved.

The present disclosure refers to a method for optimizing the selection of points to obtain formation static pressure based on the relation between the permeability index and the effective porosity. In an embodiment of a method is disclosed for marking out which intervals are most suitable for carrying out pressure measurements with wireline testers.

The invention discloses a low-field nuclear magnetic resonance exploration device and method capable of effectively shortening dead zone time, and relates to the field of electric signal acquisition, and the device comprises an upper computer which is used for communicating with a main control circuit; the main control circuit is used for controlling and collecting the core and comprehensively controlling the work of the device; the power amplification circuit is used for amplifying the power signal input by the main control circuit and then transmitting an alternating current pulse to excite the coil; the beneficial effects of the invention are that the coil employs a transmit-receive integrated differential structure, which inhibits common-mode noise interference and improves the signal-to-noise ratio of detection; the Q-conversion circuit reduces the quality factor of the coil through parallel connection of energy discharge resistors at the two ends of the coil, the purpose of rapidly discharging energy stored in the coil is achieved, and the dead time can be effectively shortened; the high-isolation fast-switching radio frequency switch can effectively reduce the insertion loss and the generated noise, significantly reduce the switching time, further shorten the dead zone time, and improve the detection effect of a short relaxation target body.

A computer-implemented method is provided. The computer-implemented method can include receiving one or more input NMR measurements at a first neural network; transforming the one or more input NMR measurements to a predicted pore throat size distribution or one or more predicted pore throat size parameters; receiving the predicted pore throat size distribution or the one or more predicted pore throat size parameters at a second neural network; transforming the predicted pore throat size distribution or the one or more predicted pore throat size parameters to a predicted NMR T2 distribution or one or more predicted NMR T2 parameters; and applying one or more physics based equations to the predicted NMR T2 distribution or the one or more predicted NMR T2 parameters to forward model the predicted NMR T2 distribution or the one or more predicted NMR T2 parameters to one or more simulated NMR measurements.

The invention belongs to the field of unconventional oil and gas exploration and development, and particularly relates to a shale reservoir micro-pore structure feature joint characterization method. The method comprises the following steps: respectively obtaining a pore size distribution diagram A corresponding to the pore volume of shale according to a low-temperature nitrogen adsorption experiment result, a nuclear magnetic resonance experiment result and a high-pressure mercury injection experiment result carried out on a shale sample in a research area; a pore size distribution diagram B corresponding to the pore volume of the shale and a pore size distribution diagram C corresponding to the pore volume of the shale; correcting the pore size distribution diagram C corresponding to the pore volume of the shale according to the compression ratio of the shale sample to obtain a pore size distribution diagram D corresponding to the pore volume of the shale; and splicing and combining the aperture distribution diagram A, the aperture distribution diagram B and the aperture distribution diagram D to obtain a pore volume-aperture curve diagram S. By adopting the method disclosed by the invention, the accuracy of characterizing the micro-pore structure characteristics of the shale reservoir can be greatly improved.

The invention relates to the technical field of nuclear magnetic resonance logging, aims to solve the problem that a method for jointly correcting a nuclear magnetic resonance logging T2 spectrum by integrating multiple factors does not exist at present, and provides a gas-containing shale nuclear magnetic resonance relaxation time spectrum correction method, a storage medium and a device. The method comprises the steps of obtaining target layer information; determining a T2 spectrum correction position; factors influencing the difference between the nuclear magnetic porosity and the conventional logging porosity are analyzed, and the influence of the factors on the nuclear magnetic resonance logging T2 spectrum is corrected according to the factors; respectively fitting each spectrum peak of the T2 spectrum through a Gaussian distribution curve, completing correction of each factor on the spectrum peak, and obtaining a final corrected nuclear magnetic offset T2 spectrum; superposing the porosity components of the corrected T2 spectrum Gaussian distributions of the fluid peaks at the corresponding distribution points to obtain corrected effective porosity and total porosity; according to the invention, automatic correction of the nuclear magnetic resonance logging T2 spectrum can be realized.

Described herein are systems and techniques for improving an accuracy of determinations made using data sensed in a wellbore or in a laboratory. Nuclear magnetic resonance (NMR) sensing devices may be used to collect data in a wellbore or lab. NMR sensing devices include a magnet (e.g., a permanent magnet or electromagnet) that provides a magnetic field that aligns the spins of protons in substances near the NMR sensing device. The magnetic field strength provided by the magnet of the NMR sensing device affects the sensitivity of the NMR sensing device and affects frequencies that the NMR sensing device effectively uses when the NMR sensing device operates. Systems and techniques of the present disclosure may measure concentrations of lithium in brine deposits when identifying particular brine deposits that include sufficient lithium concentrations to justify extracting lithium from those particular brine deposits.