174 results about "Logging system" patented technology

The invention provides an intelligent drilling speed prediction method based on physical feature guidance and multi-source information fusion, and relates to the technical field of intelligent drilling speed prediction, and the method specifically comprises the following steps: collecting multi-source heterogeneous data from a drilling real-time database, a logging system, a logging system and a geological database; constructing a dual-channel deep learning prediction model, wherein the dual-channel deep learning prediction model comprises a dual-channel convolution feature extraction module, a feature fusion module, a time sequence fusion module, a time sequence modeling module and a full connection layer which are connected in sequence; obtaining a predicted drilling speed by using a dual-channel deep learning prediction model; a joint loss function is constructed by considering a data driving error and a physical constraint error, an error is calculated according to the joint loss function, and network parameters are updated through back propagation; carrying out loop iteration training until convergence; and the trained dual-channel deep learning prediction model is used for drilling speed prediction. According to the technical scheme, the problems that in the prior art, a mechanism model is insufficient in precision, and a data driving model is poor in reliability are solved.

The embodiment of the invention relates to the technical field of data storage, and discloses a cross-K8S cluster configuration change storage method and device based on a block chain, and the method comprises the steps: obtaining a transaction request message passing the compliance verification of an intelligent contract engine, and the transaction request message comprises a configuration change request; obtaining log information of the configuration change request in the transaction request message executed by the target K8S cluster, wherein the log information further comprises configuration change cluster difference information; the log information is stored in a fragmented mode based on the IPFS network, and content hash codes of the log information are obtained; and taking the transaction request message and the content hash code as complete transaction information, and storing the transaction request message and the content hash code in a transaction pool. Decentralized storage is achieved based on an IPFS network fragmentation storage mode, the problem that a centralized database or a log system is maliciously modified or historical records are deleted easily in centralized storage is solved, and auditing integrity and data storage safety are guaranteed.

The invention provides a Mosquitto log management system based on an ARM processor, and the system comprises a log generation end which is used for generating log data and controlling a sending behavior through a condition triggering mechanism; the log storage end is used for storing the log data generated by the log generation end; the user control end is used for sending a log viewing request and a storage level adjusting instruction; the log transmission module is used for transmitting log data to the log storage end or the user control end and transmitting a control instruction to the log generation end; the ARM processor is used for executing log data processing and analysis and coordinating operation of each module; and the log generation end only sends key log data to the log storage end when not receiving a request of the user control end, and sends full log data to the user control end when receiving a log viewing request of the user control end. According to the method, the flexibility and the resource utilization rate of the log system can be improved, the storage cost and the system load are reduced, and the expandability and the stability of the system are enhanced.

The invention relates to the technical field of informatization, in particular to a workflow engine implementation method based on event traceability and decentralized monitoring, which is based on the design of recording node operation and deducing a process state on the basis of an immutable event sequence, thoroughly relieves the constraint of traditional state table storage on dynamic adjustment, and improves the working efficiency. Operation such as node insertion, skipping or rollback can take effect in real time through runtime metadata reconstruction, meanwhile, a completely stored operation event chain naturally supports full-process audit tracing, and a log system does not need to be additionally developed; a power proportion algorithm decomposes distributed node decisions into three layers of logics of role allocation, predefined result verification and secondary monitoring triggering, cross-service consistency is guaranteed through a post weight adjustment and historical behavior voting dual mechanism, and an online voting mechanism dynamically calculates and processes human weights by using event logs, so that the decision accuracy is improved. Therefore, the technical bottlenecks of rigidity, redundancy and weak consistency of the traditional scheme are overcome.

Systems and methods for real-time mapping and visualization generation of system components. The system may receive a first user request to generate a first visualization of a first configuration of a first subset of components in a first software system. The system may, in response to the first user request, retrieve a first software applications lineage log, wherein the first software applications lineage log comprises a log of event data of current processes being performed in the first software system. The system may generate a first feature input based on the first software applications lineage log. The system may input the first feature input into a first artificial intelligence model to generate a first output.

The invention relates to the technical field of cable logging, and particularly discloses a mineral component and content testing device and method suitable for a uranium-bearing reservoir, and the device comprises a cable logging system, a logging depth calibration system and a time synchronization system, the logging tool assembly comprises a spectral logging tool, a natural gamma-ray spectrum logging tool, an epithermal neutron logging tool and a neutron capture gamma-ray spectrum logging tool. The method comprises the steps of combining a logging tool assembly and a cable logging system, configuring a logging depth calibration system, configuring a time synchronization system, carrying out PTP time synchronization on the cable logging system and the logging depth calibration system, collecting original logging time and original logging data, carrying out time resampling and depth correction on the original logging data, and carrying out time synchronization on the logging depth calibration system and the cable logging system. And resampling the logging data according to the logging depth and time to divide a stratum structure. According to the method, acquisition and data fusion of the mineral components, the radioactive element content and the porosity characteristics of the stratum around the well can be realized, and the exploration precision, efficiency and evaluation accuracy are improved.

The invention discloses a distributed intelligent well logging system and a well logging method, and relates to the technical field of intelligent well logging. The distributed intelligent well logging system comprises an intelligent well logging module, a ground intelligent control module and a communication module; the number of the intelligent logging modules is N, and N is an integer larger than 1; the intelligent well logging module is arranged underground and used for collecting, processing and uploading well logging data. The ground intelligent control module is arranged on the ground and is used for receiving and analyzing data uploaded by the intelligent logging module and sending an acquisition scheme to the intelligent logging module; the intelligent well logging module and the ground intelligent control module are in two-way communication through the communication module. The intelligent logging module comprises a data acquisition unit, a first processing unit and a first communication interface unit; the ground intelligent control module comprises a second communication interface unit, an intelligent analysis unit and a control instruction generation unit, underground intelligent preprocessing and ground real-time analysis are achieved through deep fusion of a distributed architecture and an artificial intelligence technology, and an acquisition strategy can be dynamically optimized according to an analysis result.

The invention relates to the technical field of intelligent scheduling management, voice recognition, natural language processing and artificial intelligence, in particular to a system for realizing AI intelligent scheduling log generation by scheduling recording telephones and networked order issuing, which comprises a data acquisition module, a data processing module, a data processing module and a data processing module, and is characterized in that the data acquisition module comprises recording telephone acquisition and networked order issuing acquisition; the data preprocessing module is used for preprocessing the collected recording telephone voice data; the AI processing module comprises voice recognition, natural language processing and log generation; and the log management module is used for storing, querying and retrieving log data and checking and correcting the log data. According to the method and the system, the key information in the scheduling recording telephone and the networked command issuing instruction are fused, and the standardized scheduling log is automatically and accurately generated in real time by utilizing an artificial intelligence technology, so that the efficiency and the quality of recording the scheduling log are improved, and the manual operation cost and the error rate are reduced.

The invention discloses an electric spark source multi-wave micro-logging system and method, and relates to the technical field of seismic exploration, in particular to an electric spark source multi-wave micro-logging system which comprises a cable, a transverse wave converter, a seismic recorder, an electric spark source, a first three-component detector, a second three-component detector and a longitudinal and transverse wave data processing system. An electric spark electrode column is longitudinally arranged in an inner cavity of the transverse wave converter; after being started, the electric spark source discharges through an electric spark electrode column, water molecules at the position where the electric spark electrode column is located are electrolyzed to generate gas through discharging of the electric spark electrode column, the gas impacts a stratum to generate seismic waves, and a first three-component detector and a second three-component detector receive and record seismic wave signals and transmit the seismic wave signals to a longitudinal and transverse wave data processing system; the depth of the transverse wave converter and the depth of the electric spark electrode column are increased by pulling the mooring rope, so that the electric spark electrode column can excite a seismic source at a plurality of observation points, and the purpose of exciting the seismic source for multiple times is achieved.

The invention discloses a key management method, an electronic device, a storage medium and a program product, and relates to the technical field of data storage security and key management. According to the application, when a data leakage event exists, a key version, an operation main body and a timeline corresponding to leaked data can be quickly positioned according to blockchain evidence storage data, so that the data leakage is avoided; the evidence obtaining time is greatly shortened, and the processing efficiency of data leakage events is improved; authority verification is achieved through the predefined strategy table, the efficiency of dynamic verification of the multi-tenant authority is improved, and the risk of authority retention is reduced; the integrity and authenticity of a key operation record are guaranteed by utilizing the non-tampering characteristic of the block chain, and illegal access of a tenant to key data is avoided through an independent block chain storage area and authority control; by associating the key version, the I / O operation and the tenant information, the responsibility subject can be determined when an abnormal condition occurs, and the problem that the responsibility definition of the log system is fuzzy is solved.

A log system prompts a foundation model to identify regular expressions that delineate single line logs in log files and incorporates user feedback for the regular expressions in a feedback loop as part of a hybrid parsing approach. The log system splits the log files into single line logs according to the regular expressions and augments the single line logs with classifications and values of metadata fields. The augmented single line logs are then clustered into hierarchical clusters with corresponding cluster patterns and the log system stores the augmented single line logs in a database indexed by the classifications and values of metadata fields and associated with corresponding clusters / cluster patterns. A presentation module accesses the database when responding to user queries for filtered single line logs and log correlations / root cause analysis.

Systems, methods, and computer readable storage media described herein for detecting cyber-attacks in a logging system. For instance, operation information for an executing operation is received. A log of the executing operation is generated based on the operation information. During generation of the log, a triggering event is detected based on the executing operation. The triggering event corresponds to a potential cyber-attack. A protective action is performed to mitigate the potential cyber-attack. In a further aspect, the executing operation comprises a plurality of sub-operations. A sub-operation subset of the sub-operations is determined to satisfy a risk logging criterion. The determined sub-operation subset is included in the log without including a first sub-operation of the sub-operations that fails to satisfy the risk logging criterion. In another aspect, a watermark is inserted into a downloaded copy of data, the watermark detectable to determine an original source of exfiltrated data.

Systems and methods for generating synthetic borehole image logs include logging rate of penetration (ROP) data, resistivity data, and gamma ray data while drilling a borehole in a subsurface formation to generate logged data. The generating includes determining an effective dip angle of the subsurface formation along the borehole and generating a depth shift table based on the effective dip angle and a well deviation angle, the well deviation angle being between the borehole and a vertical reference. Datasets are generated based on the ROP data, resistivity data, and gamma ray data, the generated datasets having higher sampling rates than the logged data. Synthetic borehole images are generated based on the generated datasets and the depth shift table, and the synthetic borehole images are oriented with respect to a reference point of the borehole.

The application provides a direct push storage type production logging system and method, which comprises a depth-time recording device, which obtains a real-time logging depth signal by using a sensor and a winch assembly parameter of a working machine; a downhole detection module connected with a winch of an oil well working machine and a tubing, which pushes the detection module to a measurement target layer by connecting the tubing to form a pipe column with a certain length to obtain downhole logging data; a downhole storage module which stores the downhole detection data; and a collection control module which communicates with the depth-time recording device and the downhole storage module, and which is used for realizing data collection and correction and generating a logging file corresponding to data and depth. By using the above system, even under the condition of complex well conditions such as inclined wells or horizontal wells, the target layer can be reliably and stably reached, and the overall downhole production or injection condition can be obtained, and the data is corrected based on the downhole magnetic positioning data, so that repeated data processing is avoided, and the detection efficiency and reliability are significantly improved.

The present invention provides a functional simulation test device for nuclear magnetic resonance (NMR) logging electronic circuits. This device can replace the probe of an NMR logging instrument to perform reliability testing of electronic circuit sections. Compared with physical logging instrument probes, this device has smaller size, adjustable parameters, and adjustable test modes. It can simulate downhole NMR probe parameters to enable real-time reliability testing of electronic circuits. The device has four test functions, including single excitation testing, active excitation acquisition testing, controlled source excitation acquisition testing, and simulated probe testing. The device can interface with any NMR logging system to perform functional testing of the NMR system's electronic circuits.

The invention provides a remote logging system and method based on a wireless network, and the system comprises a well site wireless collection module which is used for collecting logging signals of each well drilling site in real time through a wireless sensor, and transmitting the logging signals through the wireless network; the well site data processing module is used for receiving the logging signal and performing data standardization processing on the received logging signal to obtain standardized data; the area monitoring module is used for monitoring the received standardized data and generating early warning information when abnormal data is monitored in the standardized data; the intelligent logging big data module is used for receiving the standardized data and the early warning information and generating drilling engineering optimization suggestions, full-automatic collection and remote transmission of drilling field data are achieved, the manual intervention frequency is reduced, multi-source data format differences are eliminated through a standardized data processing flow, the follow-up analysis efficiency is improved, and the data processing efficiency is improved. The dynamic anomaly detection mechanism shortens the risk response time, and drilling accidents are prevented from expanding.

The invention provides a while-drilling radioactive logging system, a logging method and a drilling tool assembly, and belongs to the technical field of oil-gas exploration, and the system comprises at least one perovskite semiconductor detector which is used for directly absorbing gamma rays from a stratum and generating corresponding electric pulse signals; the electronics module is electrically connected with the perovskite semiconductor detector and used for processing the electric pulse signal to obtain while-drilling radioactive logging data, and the while-drilling radioactive logging data comprises at least one of natural gamma counting data, natural gamma energy spectrum data and gamma-gamma density data; the protection packaging body comprises a metal shock-resistant and high-pressure-resistant shell, a heat insulation and heat preservation layer and a heat channel which are arranged in the metal shock-resistant and high-pressure-resistant shell, and a high shock-resistant and impact-resistant connecting piece for fixing internal devices, and the protection packaging body is used for accommodating the perovskite semiconductor detector and the electronics module; and the safety and the accuracy of radioactive logging while drilling are improved.

The invention discloses a double-probe electromagnetic logging system which comprises a measuring module, the measuring module is connected with a decoding module, and the decoding module is electrically connected with a computer. The measuring module comprises a shell, the shell is of a hollow cylinder structure, a front end electromagnetic probe, a plurality of side end electromagnetic probes, a time sequence control module and a coding output module are sequentially arranged in the shell in the axial direction, and the coding output module is electrically connected with the decoding module. The invention further discloses a double-probe electromagnetic logging method, which comprises the following steps of: acquiring the diameter of the casing, and setting a transmitting signal voltage; putting the measurement module into a well to obtain a side end sampling signal and a front end sampling signal; when the front-end electromagnetic probe or the side-end electromagnetic probe detects a target, the lowering speed of the measurement module is slowed down; and the computer draws an underground image, and after drawing is completed, well logging is completed. The double-probe electromagnetic well logging system can rapidly and accurately detect the depth position of a metal falling object in a well in different underground environments, so that support is provided for subsequent rapid fishing.

A method for performing direct logging of sensor data in a vehicle network logging system (VNLS) installed on an autonomous vehicle (AV), the VNLS comprising a network switch connected between an onboard sensor of the AV and an onboard computer of the AV, the network switch comprising a logger for logging sensor data to a disk, is described and includes providing a converter node on the network switch; receiving, using the converter node, data generated by the onboard sensor; and converting, using the converter node, the received data to a data record suitable for logging by the logger to the disk.

The application discloses a space recycling method of a value log system, including two methods of roll-back recycling and in-place recycling. The application can realize space recycling of the value log system without blocking online transactions.

This invention discloses a method and apparatus for obtaining full-depth VTI anisotropic bodies, specifically including: acquiring the first arrival data recorded by the bottom-hole geophones of two microlobe logging systems in the local area, establishing a single-well microlobe logging isotropic velocity model, and obtaining near-surface anisotropic δ and ε values ​​through ray tracing, travel-time forward modeling, and inversion iterations; based on the surface seismic first arrival data and the single-well microlobe logging isotropic velocity model, tomographically retrieving the surface seismic tomographic velocity field before and after microlobe logging constraints and calculating the surface velocity difference, thereby obtaining the near-surface VTI anisotropic medium δ field; based on the correspondence between the near-surface anisotropic δ values ​​and the near-surface anisotropic ε values, using the near-surface VTI anisotropic medium δ field to obtain the near-surface VTI anisotropic medium ε field; finally obtaining the near-surface VTI anisotropic body. The velocity field, combined with the anisotropic field, improves the accuracy of velocity modeling, which is beneficial for improving imaging accuracy and imaging effects.

The embodiment of the invention provides a full generation cycle carbon data credibility verification method and system and related equipment, and belongs to the technical field of information security. According to the method, the data abstract about the carbon data from the data acquisition terminal is acquired, and the zero-knowledge certification technology is adopted to perform carbon data credibility rule verification on the data abstract to generate the certification file, so that the privacy of the carbon data authenticity verification process is improved. The proof file and the data abstract are sent to the trusted mechanism equipment for digital signature operation, so that a signature file from the trusted mechanism equipment is received, the signature file carries a timestamp and comprises the signed proof file and the signed data abstract, the credibility of the carbon data is improved, and the reliability of the carbon data is improved. And the signature file is stored in an immutable log system adopting a hash chain recording mechanism, so that the carbon data can be prevented from being tampered, and the carbon data interaction efficiency can be improved through a centralized storage mode.

The invention relates to the technical field of oil-gas exploration logging, provides a logging work data real-time transmission system and method based on an embedded structure, and aims to solve the problems that in the prior art, data transmission is insufficient in real-time performance, a logging system is difficult to troubleshoot, and the data transmission efficiency is low. And the technical problem that the ground decoding board only supports cable communication of a single modulation mode is solved. Comprising a downhole instrument used for collecting original logging electric signals; the mode transformer is used for performing impedance matching processing on the original logging electric signal to obtain a preprocessed logging signal; the amplifier module is used for performing method processing on the preprocessed logging signal to obtain an amplified logging signal; the A / D conversion module is used for converting the amplified logging signal into a digital signal from an analog signal to obtain a digital logging signal; the modulation-demodulation module is used for decoding the digital logging signal to obtain a decoded logging signal; and the network communication module is used for uploading the decoded logging signal to logging acquisition software of an upper computer in real time.

The invention discloses a log system and method based on a nuclear power plant DCS configuration algorithm and a medium, and relates to the technical field of nuclear power plant safety-level DCS systems and log systems. The log system is applied to a nuclear power plant safety level DCS platform main control module. The log system comprises a board card program used for an application program to call log data in a log function library through a log scheduling interface; the log function library is used for realizing initialization of log data, dynamic updating of the log data and exporting of the log data through a designed log main body; and storing the log data in a bottom layer NOR FLASH storage device through a designed log access block, and calling the log data by an application program. A set of log system architecture is designed, key fault information can be stored, power failure is not prone to loss, logs are convenient to obtain, and convenience is provided for development or maintenance personnel to locate, analyze or solve problems.

This application discloses a data operation sequencing method and system. The method includes: responding to a client's broadcast request for a data operation, each log server determines a logical timestamp based on the type of the broadcast request and records the broadcast request and the logical timestamp of the data operation; and sequencing different data operations based on the broadcast requests and logical timestamps of different data operations recorded by each log server. This application decouples the replication logic and sequencing logic of data operations. The client's broadcast request for a data operation directly reaches each node of the write-ahead log system, implementing the replication logic. Each log server in the write-ahead log system asynchronously collects the broadcast requests and logical timestamps recorded by each log server to implement the sequencing logic of different data operations. Therefore, the write-ahead log system does not need to elect a master node as a single point of failure, which can improve the stability of client access and avoid service unavailability caused by master node failure triggering election.

The invention relates to the technical field of software design, and provides a log recording method and device suitable for a single-chip microcomputer program. When the single-chip microcomputer system is started, the log system obtains the current storage state from the storage system; when the log recording event is detected, receiving original log data from the corresponding application module from the bus interface; according to the original log data, log information needing to be recorded is obtained; according to the current storage state, storing the log information to the storage system through the bus interface; according to the log recording method and system, the practicability of a log recording function is improved in a mode of constructing a log system and using software abstraction, the cost for realizing the log recording function is reduced, and the problem that various logs in a single chip microcomputer system cannot be efficiently, reliably, accurately and rapidly recorded is solved.

The application discloses a kind of distributed intelligent well logging system and well logging method, it is related to intelligent well logging technical field, the system of the present application includes winch control module, environmental analysis module, tension analysis module, component control module and safety warning module, the present application first winch control module gathers in-well basic data, sets up winch basic control scheme;Second, environmental data are analyzed by environmental analysis module, and the winch correction control scheme is obtained;Tension analysis module sets up the control scheme of rope according to the analysis of rope tension data;Component control module analyzes distributed component measurement data, and sets up component sensor control scheme;Finally, through safety warning module, the above scheme analysis control change data and early warning, each module specific analysis and scheme setting process involves a variety of data analysis, for accurately controlling winch and component operation, improve well logging safety and accuracy.

Systems and methods described herein relate to runtime behavior modification for session-specific logging in the context of a software application. According to some examples, a system detects that session-specific logging is to be applied for a session of a software application. In response to detecting that session-specific logging is to be applied, the system enables the session-specific logging by dynamically adapting one or more original logging functions of the software application to provide one or more augmented logging functions. The software application is executed with the one or more augmented logging functions. As a result, session-specific logging is performed during the session to capture and store log data corresponding to a session-specific log level.

The invention relates to a method, a device and a computer program product for outputting a log from a log system. The log system is set with a primary filtering level and a secondary filtering level. The method comprises the step of storing log messages with log levels greater than or equal to the secondary filtering level in a log stream in a buffer area. And outputting the log messages with the log levels greater than or equal to the main filtering level in the buffer area to the target area in response to the fact that the log filtering mark is set to be the main filtering level. In addition, the method further comprises the step of outputting all the log messages in the buffer area to the target area in response to the fact that the log filtering mark is set to be the secondary filtering level. In this way, unnecessary log messages are prevented from being output to the target area, it is guaranteed that the needed log messages are output to the target area, and the quality of the log file is improved.

The invention discloses an application log recording method and device, equipment and a storage medium, and relates to the technical field of computers. The method comprises the following steps: evaluating the importance score of each application according to the business association degree, the system coupling degree, the fault influence degree and the safety sensitivity of each application; obtaining the calling amount of each application through a preset time sliding window, and predicting the future calling amount of the application according to the calling amount in the time sliding window; according to the importance score and the future call amount of each application, a log collection strategy of each application is determined, and the log collection strategies comprise full-amount log collection and key log collection; according to the future call amount, the log collection strategy and the log query requirement of each application, a log storage system of each application is determined, and the log storage system comprises a distributed log system, a local file log system and a database log system; and collecting the log of the application according to the log collection strategy, and storing the collected log to a corresponding log storage system.