39 results about "Data interpretation" patented technology

The application discloses a two-dimensional distributed optical fiber sensing full waveform simulation method based on a discrete elastic lattice, and belongs to the technical field of seismic wave field simulation and distributed optical fiber sensing. The application comprises the following steps: receiving seismic wave data of a target geological medium layer; setting a two-dimensional calculation region according to the spatial distribution of the longitudinal wave velocity, the transverse wave velocity and the density parameters of the seismic wave, and taking the two-dimensional calculation region as a numerical simulation carrier of seismic wave propagation; discretizing the two-dimensional calculation region into a plurality of particle nodes, and connecting adjacent particle nodes through elasticity to form a discrete elastic lattice, so as to represent the mechanical properties of the stratum medium; and according to the density parameters, the longitudinal wave velocity, the transverse wave velocity or the equivalent elastic parameters of the stratum medium, the elastic connection between the particle nodes is endowed with corresponding elastic coefficients. The application provides a reliable numerical tool for DAS deployment design, data interpretation and seismological inversion, and can be widely applied to the fields of earthquake monitoring, oil and gas exploration, geological disaster warning and the like.

This invention relates to the technical field of seismic data interpretation, and discloses a method and computer equipment for identifying the locations of beaded reflections in carbonate rocks. The identification method includes: S1, obtaining a two-dimensional seismic migration profile; S2, extracting typical beaded reflections, determining their dimensions, statistically analyzing their structural morphology, and constructing adaptive hit-and-miss structural element pairs; S3, using a hit-and-miss transformation to identify locations that match the adaptive hit-and-miss structural element pairs. This invention's identification method extracts multiple typical beaded reflections, constructs adaptive hit-and-miss structural element pairs, and only identifies locations that match these pairs. Based on a hit-and-miss transformation algorithm, this algorithm has low hardware requirements, high computational efficiency, and high accuracy.

This invention discloses a training method and apparatus for a 3D meandering river recognition model, and a method for identifying meandering rivers. The method includes: acquiring several interpretation results and corresponding seismic data volumes in a target area; initializing a preset label data volume based on the interpretation results and the seismic data volume; masking the label data volume to update it; inputting each seismic data point in the seismic data volume as sample data into a pre-constructed image segmentation model for training; calculating a loss function value based on the output of the image segmentation model and the updated label data volume; adjusting the parameters of the image segmentation model inversely based on the loss function value; iteratively training until the loss function reaches a preset convergence condition, stopping the training, and obtaining a trained 3D meandering river recognition model. This model enables the identification of meandering rivers in a target area using sparse labels, improving the efficiency of seismic data interpretation.

Systems and methods for improving graphical user interfaces and data interpretation are provided. A method may include determining, using a generative artificial intelligence (GAI) model, an ontology defining a plurality of interconnected nodes of a dataset, generating at least one textual element and one or more visual elements corresponding with the interconnected nodes, providing the at least one textual element and the one or more visual elements to a graphical user interface (GUI), receiving, via the GUI, a selection corresponding with the at least one textual element or the one or more visual elements, and updating, via the GUI, at least one of the at least one textual element or the one or more visual elements based on the selection. Updating the textual element may cause the visual element to update, and updating the visual element may cause the textual element to update.

A system includes at least one wearable device having a housing, at least one sensor disposed within the housing, at least one output device disposed within the housing, and at least one processor operatively connected to the sensors and output devices, wherein one or more sensors are configured to detect electrical activity from a user's facial muscles and to transmit a data signal concerning the electrical activity of the user's facial muscles to one of more of the processors. A method of controlling a wearable device includes determining facial muscular electrical data of a facial gesture made by a user, interpreting the facial muscular electrical data to determine a user response, and performing an action based on the user response.

The application discloses a kind of quantitative evaluation method and device of oil and gas along fault to river channel sand body filling capacity, first, according to fluid inclusion analysis, oil and gas reservoir forming period is identified, and oil and gas reservoir forming period and time are determined;Then, according to the result of seismic data interpretation, the configuration relationship of fault and hydrocarbon source rock is analyzed, and gas source fault is determined;Then, in combination with the configuration relationship of fault and sand body, its evolution and the recovery result of porosity evolution, and the historical data of porosity-permeability relationship, the filling capacity evaluation parameter of key reservoir forming period is obtained;Then, in combination with the relationship between filling capacity evaluation parameter and sand body gas content, the weight coefficient of different parameters on the influence of natural gas filling is determined, and then the filling capacity coefficient of each river channel sand body is calculated, so that the selective filling strength of oil and gas along fault to each river channel sand body is obtained.The application realizes the quantitative evaluation of oil and gas along fault to river channel sand body filling capacity, and based on the evaluation result, favorable gas-bearing river channel sand body can be further predicted.

The present application relates to the technical field of coal geological exploration digitization, and discloses a kind of coal geological exploration whole process digitization management integrated system.The system includes exploration perception module, data interpretation module, logic operation module, decision generation module and instruction execution module.System obtains multidimensional exploration perception flow by laying perception device in exploration whole process node, and is structured and analyzed into geological structure, engineering progress and environmental safety feature sequence by data interpretation module structure.Structure logic operation module generates geological data confidence mark and operation process coordination mark accordingly, and decision generation module generates control instruction accordingly, and finally by instruction execution module drives field equipment to complete adjustment.The scheme realizes real-time analysis and characterization of multi-source heterogeneous data on site, and establishes an intelligent closed-loop control mechanism based on data reliability and process coordination degree dual quantitative indicators, improving the overall synergy of exploration operation and the reliability of geological results.

This invention relates to the fields of geotechnical engineering and deep earth exploration technology, and discloses an in-situ testing device and method for multi-field coupled parameters of thermal-hydraulic-mechanical systems in ultra-deep high-pressure directional drilling. This method solves the problems of traditional testing methods, such as drill pipe axial force transmission leading to sealing failure, low efficiency of multi-parameter testing, neglect of multi-field coupling in data interpretation, and inability to quantify surrounding rock risks in real time. The testing device of this invention includes a multi-core armored cable, a downhole testing device, and a surface control and computing system. The downhole testing device is a central tube integrated structure, with an electrical control and communication module, upper and lower packers, and a multi-functional testing module integrated sequentially along the central tube. In application, the downhole device is lowered to the target formation, and the packers are hydraulically driven to set and form a sealed isolation section. Water is then injected into the sealed isolation section to induce fracturing, and multi-source data is collected simultaneously. After fracturing, fracture data is collected, and through data inversion and coupling correction, the plastic zone of the borehole wall is calculated and the risk is quantified. Finally, the device is retrieved.

To provide technology that can generate explanations for data. [Solution] An information processing device according to one aspect of the present disclosure includes: a selection unit that selects one or more types as the type of explanation to be generated for data relating to equipment; a data acquisition unit that acquires the data according to the selected one or more types; an explanation generation unit that generates one or more explanations corresponding to each of the one or more types based on the acquired data and a generation AI realized by a machine learning model including a large-scale language model; and an integration unit that creates a first integrated explanation representing an explanation that integrates the one or more explanations corresponding to each of the one or more types.

The application discloses a mixed DNA biallelic SNP data interpretation method and system based on WGA-WGS, and relates to the technical field of forensic genetics, and the specific steps are as follows: obtaining intersection SNP sites based on WGA-WGS typing data of a mixed sample and a target individual sample, and generating a SNP site set; determining the number N of mixed contributors and a single allele typing error rate; calling a preset observation probability model of integrated typing errors based on an application scenario, calculating a total likelihood ratio based on the number N of mixed contributors and the single allele typing error rate on the basis of the SNP site set; and interpreting the mixed sample based on the total likelihood ratio, wherein the whole process in the application is operated based on a preset mathematical model and objective parameters, so that potential bias caused by artificial intervention and subjective judgment is minimized, the scientific rigor of evidence interpretation is ensured, and the repeatability and verifiability of analysis results are also ensured.

The present application relates to the technical field of automation calibration, and provides a kind of time frequency instrument equipment frequency characteristic automatic calibration method, system and electronic equipment, comprising: calling preset instruction library generates calibration control program;Calibration control program is executed, to control the equipment to be calibrated and standard equipment enter synchronous calibration process, synchronous calibration process includes overall optimization to multiple calibration items, and in the same time period, control the equipment to be calibrated to the standard signal output by standard equipment continuously measure, to obtain the measurement data set for the multiple calibration items after optimization;Measurement data set is identified using a predetermined statistical criterion, and automatically generates calibration results according to the identification results.The present application realizes the efficient parallel of calibration operation and the objective standardization of data interpretation by automatic process construction, multiple calibration items synchronous measurement and automatic identification and intelligent processing of abnormal data based on statistical criteria, and has high calibration efficiency, low labor cost and accurate and reliable results.

The present application belongs to the technical field of oil and gas exploration seismic data interpretation. The present application discloses a method and device for identifying faults based on differential cepstrum. The method performs differential cepstrum processing on seismic data of a target layer section, extracts first-order differential cepstrum coefficients of the differential cepstrum, sets a processing factor to calculate eigenvalues of a covariance matrix of the first-order coefficient data body of the differential cepstrum, and generates a high-resolution fault information data body. The differential cepstrum operation adopted by the method strengthens the weak information singularity feature, can identify small faults, and is beneficial to improving the accuracy and precision of fault identification of seismic data. The device for identifying faults based on differential cepstrum provided by the present application comprises a Fourier transform spectrum generator, a logarithmic spectrum generator, a Fourier inverse transform processor, a differential cepstrum first-order coefficient data body generator, and a fault data generator. The device realizes the method for identifying faults based on differential cepstrum.

An embodiment of the present invention provides an artificial intelligence-based analysis system for analyzing data using automated feature extraction, the system comprising: a data interpretation unit that classifies data stored in a database and analyzes context; a feature extraction unit that extracts features of the data on the basis of the analyzed context; a feature-based data structure reconstruction unit that reconstructs a database structure on the basis of feature fields using the extracted features of the data; an analysis model provision unit that provides or recommends an analysis model suitable for feature field data of the reconstructed database structure; an analysis model application unit that generates a result by applying the analysis model provided by the analysis model provision unit to the feature field data of the reconstructed database; and an indicator derivation unit that analyzes a relationship between a business objective and the feature field data, infers a causal relationship, and selects goal-oriented features for the analysis model.

This application provides a medical data information analysis method and system based on artificial intelligence, including: acquiring verbal communication information from medical staff and recognizing the verbal communication information to obtain instructions or statements in text form; performing semantic analysis on the text instructions or statements to extract operation type, patient identification, time information, and intent to adjust parameters; generating temporary calibration rules for correcting data interpretation logic based on the semantic analysis results, and injecting the temporary calibration rules into the medical data analysis system; when the medical data analysis system processes physiological monitoring data, the temporary calibration rules are preferentially applied to correct the judgment of data anomalies. This application can distinguish between data anomalies caused by normal clinical operations and actual changes in the patient's condition, effectively reducing false alarms and false negatives, and improving the accuracy and reliability of data analysis in intensive care environments.

This invention belongs to the field of artificial intelligence and data visualization technology, and discloses a method for processing conversational visualization intelligent agents and the intelligent agent thereof. The method includes: performing structural expansion and semantic enhancement on the acquired raw data table to generate a unified data table summary containing field type mappings and data interpretations; combining the data table summary with dialogue history to perform relevance judgment, executability checks, and solution space uniqueness analysis on user questions, classifying the questions; based on the classification results, generating a Vega-Lite specification or generating a structured text interpretation or general response by constructing and filling in a visual query language sketch; executing and rendering the generated Vega-Lite specification, generating feedback based on execution errors or semantic deviations, and driving iterative correction. This invention improves the robustness and practicality of conversational visualization systems through the collaborative design of these four steps.

This invention relates to the field of seismic data interpretation technology, and particularly to an inversion method, apparatus, equipment, medium, and product for fractured-vuggy reservoirs. The method includes: constructing an active profile model framework for fractured-vuggy reservoirs; constructing a wave impedance inversion objective function based on the active profile model framework; solving the wave impedance inversion objective function to obtain the impedance parameters and boundary set of the fractured-vuggy reservoirs; which can improve the accuracy of the inversion results for fractured-vuggy reservoirs.

The application belongs to the technical field of gene methylation detection and analysis, and specifically provides a gene methylation detection result interpretation system, which comprises a sample management module, a data interpretation module, a report generation module and a background management module; the sample management module is used for encoding the imported gene methylation detection sample information and automatically generating a corresponding detection serial number; the data interpretation module is used for interpreting the gene methylation detection result and obtaining an interpretation conclusion; and the report generation module is used for automatically generating a corresponding report according to the gene methylation detection result. Compared with the prior art, the application has the advantages of simple operation, wide compatibility, editability and clear information, etc.

The application discloses a mineral exploration method based on ancient vortex center identification, and belongs to the technical field of cross of geological mineral exploration, geodynamics and metallogenic prediction. Based on the vortex energy field, vortex contraction potential energy and energy collapse convergence metallogenic theory, the application innovatively proposes a three-layer material differentiation coupling rule of water ancient vortex and mantle magma ancient vortex, takes the ancient vortex center formed in the ancient geological evolution as a core metallogenic target area, accurately identifies and positions the ancient vortex center and vortex ore-controlling structure by means of the technical means combining multi-source data interpretation, field geological verification, geophysical and geochemical detection, divides the vortex core metallogenic belt, the middle life macromolecule synthesis belt and the peripheral hydrocarbon and oil and gas metallogenic belt, and realizes efficient and accurate collaborative exploration of exogenous mineral resources, endogenous metal mineral resources and oil and gas resources by using the core rule that the vortex center contraction potential energy gathers ore-forming materials and energy collapse promotes ore deposition. The application breaks through the limitation of traditional geological exploration, starts from the essence of energy and power of the earth evolution, establishes a new ancient vortex ore-controlling exploration system, is suitable for the general survey, detailed survey and deep concealed ore exploration of various metal deposits and oil and gas energy mineral resources, greatly improves the prospecting accuracy and reduces the exploration cost, and has double major values of mineral exploration and life origin research.

The application provides a tunnel bottom hidden karst identification method and device based on seismic image data, relates to the technical field of seismic data interpretation in geological exploration, and solves the problem of inaccurate karst development area identification. The method comprises the following steps: determining the best offset according to the effective wave group of seismic trace waveform data; continuously collecting data of seismic trace data point by point using the best offset, synthesizing common offset seismic image profile data after removing interference traces from the seismic trace data; decomposing the seismic image profile data into a plurality of intrinsic mode function sub-signals using empirical mode decomposition, wherein each sub-signal represents a different vibration term; performing Hilbert transform on each intrinsic mode function sub-signal to obtain the corresponding instantaneous frequency of the intrinsic mode function sub-signal; since the karst development area usually causes the frequency of vibration signals to decrease, the instantaneous frequency distribution characteristics can be used to identify the tunnel bottom hidden karst. The purpose of accurately identifying the karst development area can be achieved.

This disclosure relates to the field of petroleum exploration technology, and in particular to a method, apparatus, equipment, medium, and program product for filtering and suppressing random noise. The method includes: performing a two-dimensional Hilbert transform on seismic data to obtain the real part of the frequency response function of the two-dimensional seismic data; calculating the local dip angle based on the real part of the frequency response function; calculating the coefficients of each polynomial in a non-stationary polynomial fit and the coefficients of each fitted polynomial based on the local dip angle; and filtering the seismic data based on the polynomial coefficients and the fitted polynomial coefficients. By using the two-dimensional Hilbert transform to accurately estimate the local dip angle in seismic data and performing non-stationary filtering based on the local dip angle, the signal-to-noise ratio of the seismic data can be significantly improved, random noise can be effectively suppressed, and structural information such as faults and horizons in the seismic data can be preserved, thereby improving the accuracy and reliability of seismic data interpretation.

This invention relates to a software-defined IoT edge gateway and data processing method. The IoT edge gateway includes: a communication module for connecting sensors using multiple communication protocols, dynamically configuring communication parameters, and acquiring configuration information; a data interpretation module for receiving raw data sent by sensors and dynamically interpreting, format-converting, and mapping the raw data using data parsing rules to generate semantically structured data; a data storage module for storing data; a Wi-Fi / 4G communication module for uploading the semantically structured data to a cloud server and receiving configuration information from the cloud server; and an MCU for coordinating the work of each module and verifying and dynamically loading configuration information. This invention achieves lightweight and optimized edge data processing by dynamically defining the device's real-time interpretation, mapping relationships, data processing, and analysis of raw data through accompanying mobile software.

The present application belongs to coefficient determination method, and particularly relates to a method for determining the iron water absorption coefficient in gamma logging data interpretation. The method for determining the iron water absorption coefficient in gamma logging data interpretation comprises the following steps: step one, collecting information; step two, calculating the equivalent thickness; and step three, calculating the absorption coefficient. The present application has the following remarkable effects: the method of the present application establishes a fitting function by using the limited discrete data provided by the existing logging model experiment, calculates the iron water absorption coefficient corresponding to different measured borehole diameters by using the function, has high fitting accuracy of the absorption coefficient, and has the advantages of convenient calculation, easy programming, simplified drilling process, and saved drilling construction cost.

The application relates to the technical field of cloud collaboration, and particularly discloses a heart rate data intelligent processing method and system based on feature domain dynamic decoupling, which comprises the following steps: an edge computing port constructs a reliability curve reflecting data reliability, which is beneficial to distinguishing stable sampling from abnormal sampling at the data level; subsequently, the edge computing port dynamically decouples the reliability curve to form an evidence chain quantitative driving representation set for representing a heart rate steady-state evolution process, and generates a heart rate steady-state data trend line, so that the robustness of a trend extraction process to short-time disturbance is enhanced; on this basis, the edge computing port combines the evidence chain quantitative driving representation set and the heart rate steady-state data trend line to extract a heart rate data interpretation result with interpretability and uploads the result to a user end and a cloud processing computing end respectively, so that stable processing of heart rate data and result collaboration are realized.

The application discloses a basin and peripheral region digital modeling method and system based on big data analysis, relates to the technical field of digital modeling, and comprises the following steps: connecting a GIS system to acquire geographical distribution information of a target basin region; building a digital space, performing grid division on the digital space, and determining a digital grid; collecting detection data of each exploration zone in the target basin region, respectively performing data interpretation and preprocessing, and determining geological feature information; based on the digital grid, combining the geological feature information, performing three-dimensional modeling on each digital grid in parallel, and respectively determining a grid model; splicing the grid models, determining a digital basin peripheral model, performing macro-quantization, and generating a macro-digital basin peripheral model. The application solves the technical problem of low modeling and model construction efficiency of the existing technology in the joint modeling of a basin and a peripheral orogenic belt, and achieves the technical effect of improving the efficiency and accuracy of exploration and analysis of a basin and a peripheral region.

A simulation experiment method based on a fracture type seismic physical model, the method comprising: establishing a structure physical model according to relevant information of an actual formation in a research work area, and performing a simulation experiment to determine fracture distribution characteristic information; constructing a fracture type seismic physical model according to the fracture distribution characteristic information; performing data acquisition, data processing and data interpretation on the fracture type seismic physical model, and determining a fracture distribution rule; comparing and analyzing the fracture distribution rule determined by the fracture type seismic physical model with the fracture distribution characteristic information of the structure physical simulation experiment, and determining acquisition parameters of seismic data in the research work area.

This application belongs to the field of biotechnology, specifically relating to a method for identifying the binding sites of proteins and small molecules. This application utilizes ultrafiltration to effectively separate double-enzyme digestion products, simplifying sample processing, reducing sample complexity, and lowering the difficulty of data analysis, resulting in more efficient and accurate mass spectrometry data interpretation. Compared to existing restriction enzyme-based methods, this application, through double-enzyme digestion technology, can capture more subtle differences in the binding of proteins and small molecules, improving the accuracy of target protein identification.

The application discloses a kind of structural fracture development degree evaluation method, device, electronic equipment and storage medium, wherein the method comprises: obtaining the historical exploration information of each target well in target area, wherein the historical exploration information includes well logging data, well logging data and data interpretation result;Determine the target brittleness index ratio and target rock thickness value corresponding to the target area based on the historical exploration information;Determine the fracture development degree evaluation standard based on the target brittleness index ratio and target rock thickness value, and evaluate the structural fracture development degree based on the fracture development degree evaluation standard.Based on the above technical solution, the evaluation parameters are determined based on the historical exploration information in the target area, and the evaluation standard of the fracture development degree is established based on the evaluation parameters, and then the reasonable prediction and evaluation of the fracture development degree are realized based on the evaluation standard, which improves the accuracy of predicting the development degree of structural fracture.

A method may include providing one or more inputs to a hybrid data generator, wherein one of the one or more inputs is based at least in part on a wellsite location, wherein the hybrid data generator