Abstract: A magnetic field enhancing component, including: a first dielectric layer comprising a first surface and a second surface opposite to each other; a first electrode layer arranged on the first surface; a second electrode layer and a fourth electrode layer, which are arranged on the second surface at an interval, where orthographic projections of the first electrode layer and the second electrode layer, which are projected onto the first dielectric layer, overlap each other, and orthographic projections of the first electrode layer and the fourth electrode layer, which are projected onto the first dielectric layer, overlap each other; and a first external capacitor, a second external capacitor, and a first switching control circuit. One terminal of the second external capacitor is connected to the second electrode layer, and another terminal of the second external capacitor is connected to one terminal of the first external capacitor and one terminal of the first switching control circuit, respectively.

Abstract: A magnetic field enhancing component and a magnetic field enhancing device. The magnetic field enhancing component includes a first dielectric layer, a first electrode layer, a second electrode layer, a third electrode layer, a fourth electrode layer, and a control circuit. The first electrode layer and the second electrode layer are arranged on a first surface of the first dielectric layer. The third electrode layer and the fourth electrode layer are arranged on a second surface of the first dielectric layer. The first electrode layer and the third electrode layer form a second structural capacitor. The second electrode layer and the fourth electrode layer form a third structural capacitor. The control circuit is connected between the first electrode layer and the second electrode layer, and includes a third capacitor, a first inductor, and a first switch circuit. The first inductor and the first switch circuit are connected in series, then is connected to the third capacitor in parallel.

Abstract: A machine learning application method, a device, an electronic apparatus, and a storage medium, used to directly link service scenarios, aggregate data related to the service scenarios, accordingly explore modeling schemes, and ensure that data used in offline modeling scheme exploration and data used in an online model prediction service have the same source, thereby realizing consistency of source of offline and online data. Directly deploying an offline model to an online environment results in data inconsistency between online feature computation and offline feature computation, which in turn causes poor prediction performance; therefore, only a modeling scheme is deployed online, and the offline model is not deployed. After a modeling scheme is deployed online, sample data having a feature and feedback can be obtained by receiving a prediction request, thereby enabling model self-learning by means of the sample data.

Abstract: The disclosure is directed to a method of utilizing an acoustic sensing cable, such as a fiber optic distributed acoustic sensing (DAS) cable, in a borehole to detect microseismic events and to generate three dimensional fracture plane parameters utilizing the detected events. Alternatively, the method can use various categorizations of microseismic data subsets to generate one or more potential fracture planes. Also disclosed is an apparatus utilizing a single acoustic sensing cable capable of detecting microseismic events and subsequently calculating fracture geometry parameters. Additionally disclosed is a system utilizing a processor to analyze collected microseismic data to generate one or more sets of fracture geometry parameters.

Abstract: A method for determining microseismic events. The method may include measuring a seismic travel time of a microseismic event with a fiber optic line disposed in a first wellbore, forming a probability density function for the microseismic event based at least in part on the seismic travel time measurement, modifying the probability density function by applying one or more constraints to form a modified probability density function, identifying one or more most probable source locations from the modified probability density function, and forming a microseismic event cloud from the one or more most probable source locations.

Abstract: A fiber optic cable positioned along a casing string in a wellbore may be calibrated by exciting a tube wave in the wellbore and detecting, by the fiber optic cable, a reflected tube wave. The reflected tube wave may correspond to a reflection of the tube wave off an obstacle within the wellbore. The obstacle may have a known location such that a reference point along the fiber optic cable may be associated with the known location of the obstacle for calibrating the fiber optic cable. Downhole applications utilizing data collected by the calibrated fiber optic cable, including location data, may weight the data collected based at least in part on an uncertainty value associated with a particular calibrated location along the length of the fiber optic cable.

Abstract: The disclosure is directed to a method of utilizing an acoustic sensing cable, such as a fiber optic distributed acoustic sensing (DAS) cable, in a borehole to detect microseismic events and to generate three dimensional fracture plane parameters utilizing the detected events. Alternatively, the method can use various categorizations of microseismic data subsets to generate one or more potential fracture planes. Also disclosed is an apparatus utilizing a single acoustic sensing cable capable of detecting microseismic events and subsequently calculating fracture geometry parameters. Additionally disclosed is a system utilizing a processor to analyze collected microseismic data to generate one or more sets of fracture geometry parameters.

Abstract: A fiber optic cable positioned along a casing string in a wellbore may be calibrated by exciting a tube wave in the wellbore and detecting, by the fiber optic cable, a reflected tube wave. The reflected tube wave may correspond to a reflection of the tube wave off an obstacle within the wellbore. The obstacle may have a known location such that a reference point along the fiber optic cable may be associated with the known location of the obstacle for calibrating the fiber optic cable. Downhole applications utilizing data collected by the calibrated fiber optic cable, including location data, may weight the data collected based at least in part on an uncertainty value associated with a particular calibrated location along the length of the fiber optic cable.

Abstract: Aspects of the present disclosure relate to detecting and predicting data related to the arrival of fractures at a wellbore. The fractures arriving at the wellbore can cause borehole tube waves to form in the wellbore. Data associated with the borehole tube waves can be measured using sensors positioned in the wellbore. The data can be used to determine the arrival time of the fracture and the wellbore. The arrival time and an arrival location can be used to create a prediction model for predicting the arrival of future fractures at the wellbore.

Abstract: The present invention relates to an IEEE1588 protocol negative testing method, comprises steps of: connecting a IEEE1588 tester and a slave clock DUT to establish a real-time closed-loop feedback mechanism; taking the IEEE1588 tester as a master clock, and establishing a stable time synchronization with the slave clock DUT; obtaining the timing offset or path delay of the slave clock DUT before disturbance; assembling an abnormal message in a frame and sending it to the slave clock DUT; calculating the timing offset or path delay increment after disturbance of the abnormal message; determining whether there is a sudden change in the timing offset or path delay of the slave clock DUT, wherein if there is no sudden change, the test passes; otherwise the test fails.

Abstract: The present invention relates to an IEEE1588 protocol negative testing method, comprises steps of: connecting a IEEE1588 tester and a slave clock DUT to establish a real-time closed-loop feedback mechanism; taking the IEEE1588 tester as a master clock, and establishing a stable time synchronization with the slave clock DUT; obtaining the timing offset or path delay of the slave clock DUT before disturbance; assembling an abnormal message in a frame and sending it to the slave clock DUT; calculating the timing offset or path delay increment after disturbance of the abnormal message; determining whether there is a sudden change in the timing offset or path delay of the slave clock DUT, wherein if there is no sudden change, the test passes; otherwise the test fails.