232 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.

A system (100) for securing cloud-based large language models through cyber threat defense and compliance monitoring, comprising: (a) an access control and authentication module configured to authenticate users and applications using role-based access control (RBAC) and multi-factor authentication (MFA); (b) a data protection and encryption module configured to encrypt data in transit and at rest and to anonymize sensitive input / output data using cryptographic techniques; (c) a threat detection and behavior monitoring module employing machine learning algorithms to identify anomalies and detect potential cyber threats in real time;(d) a regulatory compliance monitoring module configured to continuously assess system operations against applicable regulatory frameworks and generate alerts in the event of deviations from the regulations; (e) an incident response and mitigation module configured to automatically execute predefined response actions upon detection of threats or regulatory violations; (f) a logging, auditing, and forensic analysis module configured to securely log system activities, interactions, and threat events with cryptographic integrity protection; and (g) a governance and policy management module configured to define, update, and enforce organizational AI usage and compliance policies via the cloud-based LLM infrastructure.

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 multi-modal medical image real-time labeling and collaborative browsing method and device based on adaptive DeepZoom and a readable storage medium thereof. A multi-resolution pyramid is constructed, a medical image is downsampled into multiple resolution levels layer by layer, each layer is divided into standard size blocks, dynamic loading is carried out based on a window, and cache management is carried out through an LRU algorithm. The problems of loading lagging and memory overflow of the GB-level image are solved; real-time synchronization of multi-user labeling operation is achieved through a WebSocket protocol, a three-level semantic label system containing lesion areas, cell types and tissue grading is supported, labeling conflicts are solved in combination with a timestamp priority strategy, and version backtracking is supported; a medical compliance log system is designed, information such as cases is recorded, and the whole operation process can be traced through synchronization of local Sqlite cache and cloud HIPAA encryption. According to the method, the medical image browsing efficiency and the labeling collaboration are remarkably improved, and the medical data compliance requirement is met.

The invention relates to the technical field of network security, in particular to a security operation full-process automatic closed-loop method and system driven by a security agent, and the method comprises the following steps: collecting network behavior data, including network traffic, system logs and user behavior data, from various network devices, security devices and log systems in real time; performing cleaning, denoising and standardization processing on the original data by using a natural language processing technology; the method has the beneficial effects that the full-process automatic closed-loop management from threat detection, analysis, response to feedback is realized by constructing the security agent and combining technologies such as a large language model, artificial intelligence, machine learning, natural language processing (NLP) and the like. The security agent can monitor network behaviors in real time, automatically identify abnormal behaviors, generate security early warning and automatically execute a response strategy, so that the efficiency and accuracy of security operation are remarkably improved.

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.

Systems and methods for detecting security attacks using workspace orchestration logs are described. In some embodiments, a workspace orchestration server may include a processor and a memory coupled to the processor, the memory having program instructions stored thereon that, upon execution, may cause the server to: maintain a first workspace orchestration log, receive a second workspace orchestration log from a client Information Handling System (IHS), and identify the security attack, at least in part, in response to a discrepancy between the first and second workspace orchestration logs.

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.

A pump performance data logging system is provided. The pump performance data logging system comprises a pump and a plurality of sensors configured to measure at least two different parameters regarding the operation or condition of the pump. The pump performance data logging system also comprises a data logging apparatus having processing circuitry, memory, a case, and a plurality of sensors ports that are configured to receive the plurality of sensors. The case is configured to encase the plurality of sensor ports, the memory, and the processing circuitry, and the data logging apparatus weighs 50 pounds or less.

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.

The invention discloses an AI drill core identification and automatic logging system for an external investigation operation robot, relates to the technical field of geological investigation, and solves the technical problems that different feature data of a drill core are difficult to analyze and construct a fusion feature value, and an AI model containing multiple feature branches is difficult to construct to identify the drill core. Comprising the following modules: a multi-source data acquisition module used for installing a camera and a plurality of sensors to acquire corresponding data; the sensor cooperative work module is used for the master control system to establish a clock source, synchronize camera and sensor data acquisition and add marks; the data processing and analyzing module is used for analyzing the three kinds of data and constructing corresponding characteristic values; the AI recognition module is used for constructing an AI model containing texture, spectrum and mechanical branches, deploying after feature fusion and cross entropy loss training, and outputting category probability distribution; and the automatic logging module is used for automatically generating logging information after the AI model identifies the drill core.

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.

A logging system and method for operating a logging system are typically used in a wellbore. The logging system may include a logging instrument including a rechargeable energy storage and logging electronics, and a cable configured to trickle charge the rechargeable energy storage. The rechargeable energy storage may include an ultracapacitor. The rechargeable energy storage may be trickle charged through the cable from a remote power source.

Embodiments provide systems and methods for logging events. A computer-implemented method comprises receiving input for selecting one or more event types to receive from an event collector, receiving, based on the one or more event types, a plurality of security events from the event collector, transforming each of the plurality of security events to a standard format to generate a plurality of formatted security events and transmitting the plurality of formatted security events to a security information and event management (SIEM) server.

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.