Abstract: The present invention belongs to the field of environment monitoring, particularly relates to a CO2 storage state networking monitoring device, system and method with multi-information fusion. The present invention comprises: obtaining orientation electrical signal data and real-time pressure signals, analyzing a fluid flowing state at a view of a pressure sensor through the real-time pressure signals, and obtaining a CO2 flowing state through the orientation electrical signal data; and obtaining a CO2 regional storage state by combining an orientation CO2 content, a CO2 flowing state and the fluid flowing condition at the view of the pressure sensor. By combining accurate short-range CO2 boundary monitoring of orientation electrodes with long-range monitoring of pressure sensors to achieve a wide range of CO2 flowing state monitoring, the present invention can observe more data with higher reliability and effectively aims at the problem of strong inter-well heterogeneity.

Abstract: The present disclosure belongs to the field of geological exploration, and particularly relates to a seismic acquisition system based on a frequency domain expansion MEMS sensor, aiming at solving the problem that vibration frequencies exceed the frequency range of the MEMS sensor due to strong vibrations and cross coupling of multi-frequency signals usually occurring in well logging while drilling. When the MEMS sensor suffers strong vibrations or the MEMS sensor that can be selected cannot ensure that the frequency requirement of a measurement signal is stably met, the frequency domain expander of the present disclosure expands the frequency domain of a detection signal, so that the MEMS sensor can measure strong vibrations and out-of-band frequencies to a certain extent, the application range of the seismic acquisition system is extended, and the anti-mutation capability of the seismic acquisition system is improved.

Abstract: A graph neural network (GNN)-based prediction system for total organic carbon (TOC) in shale solves the problem that the existing shale TOC prediction method cannot fully analyze the complex nonlinear relationship between all logging curves and TOC. The prediction system adopts a method including: acquiring and preprocessing a plurality of logging curves of a target well location in a target shale bed to acquire a plurality of standardized logging curves, windowing the plurality of standardized logging curves, and inputting the windowed logging curves and weight matrix into a trained GNN-based TOC prediction network to acquire TOC of the target well location. The prediction system inputs the plurality of logging curves as correlative multi-dimensional dynamic graph data for analysis and can acquire the complex nonlinear relationship between the logging curves and TOC, thus improving the prediction accuracy of TOC.

Abstract: This application provides techniques of generating non-fungible token props to be displayed in live rooms. The techniques comprise determining a virtual prop associated with one of a plurality of live rooms in which an online streamer performs livestreaming; determining a set of material components of the virtual prop; generating a set of visual materials based on configuring a plurality of visual materials for each of the set of material components; and generating a set of non-fungible token props corresponding to the virtual prop based on a plurality of sets of visual materials corresponding to the set of material components, wherein an identifier is assigned to each of the set of non-fungible token props for identification.

Abstract: The present invention belongs to the field of environment monitoring, particularly relates to a CO2 storage state networking monitoring device, system and method with multi-information fusion. The present invention comprises: obtaining orientation electrical signal data and real-time pressure signals, analyzing a fluid flowing state at a view of a pressure sensor through the real-time pressure signals, and obtaining a CO2 flowing state through the orientation electrical signal data; and obtaining a CO2 regional storage state by combining an orientation CO2 content, a CO2 flowing state and the fluid flowing condition at the view of the pressure sensor. By combining accurate short-range CO2 boundary monitoring of orientation electrodes with long-range monitoring of pressure senors to achieve a wide range of CO2 flowing state monitoring, the present invention can observe more data with higher reliability and effectively aims at the problem of strong inter-well heterogeneity.

Abstract: The present disclosure belongs to the field of geological exploration, and particularly relates to a seismic acquisition system and a sensor based on an MEMS sensor with low power consumption, so as to solve the problem that the existing seismic wave acquisition technology cannot balance high accuracy and low power consumption when the MEMS sensor is used. The present disclosure comprises: the MEMS sensor is used for receiving seismic wave signals and outputting MEMS sensor electrical signals; a common-mode voltage adjustment module is used for adjusting the MEMS sensor signals to be within the input range of common-mode voltage of a readout circuit, so as to obtain low voltage MEMS sensor signals. In the present disclosure, high voltage ensures the detection accuracy of the MEMS sensor; and low voltage is supplied to the readout circuit, thereby reducing the power consumption of the overall seismic acquisition system.

Abstract: An irregular optimization acquisition method, device, apparatus and medium for seismic data are provided. The method comprises the steps of: for the sampling matrix ?N to be optimized, updating the sampling matrix to ?N?n according to a sampling reduction solution based on a greedy sequential scheme in alternate directions, and updating the sampling matrix to ?N according to a sampling increment solution based on the greedy sequential scheme in alternate directions; and determining whether to end the cycle according to the compressed sensing theory, a preset number m and a termination condition for overall optimization, and outputting a final optimization sampling matrix. The method, the device, the apparatus and the medium provided by the disclosure are used for solving the technical problems that the existing irregular seismic acquisition solution is easy to fall into local optimum solution, large in calculation amount and not suitable for complex terrain areas.

Abstract: Rock reservoir structure characterization method comprises: acquiring a three-dimensional seismic data volume of a rock reservoir to be characterized; performing a transformation on all the intrinsic mode function components obtained through decomposition to obtain time-frequency spectrum of each intrinsic mode function component, and adding the time-frequency spectrums of all the components to obtain the time-frequency spectrums of the seismic data; performing cross-correlation between each of the time-frequency components of the near-well seismic traces and the synthetic seismic trace obtained by logging data of the same well, and screening out a sensitive component with the highest correlation degree as an input feature, and performing fuzzy C-means clustering and spatial smoothing on the sensitive component with the highest correlation degree to obtain a seismic facies with set standard division; and depicting the rock reservoir according to the seismic facies divided by the set standard.

Abstract: A Digital Image Stabilization apparatus and method applies a Principal transform including a rotational motion component to a source frame and interpolates and outputs the image data of each pixel of an entire row of the destination frame in raster order. A first step identification the diagonally oriented meta-rows of source frame data that correspond to the pixels of an entire row of the destination frame, based on the principal transform coefficients. A second step is to horizontalize the source frame data of the meta-rows that correspond to the pixels of an entire row of the destination frame, by storing each meta-row of source frame data into one row of a memory buffer, such as a multi-line buffer. Then, a moving-window interpolation step sequentially interpolates based on the principal transform coefficients and outputs the image data of an entire row of the destination frame in raster order.

Abstract: A Digital Image Stabilization apparatus and method applies a Principal transform including a rotational motion component to a source frame and interpolates and outputs the image data of each pixel of an entire row of the destination frame in raster order. A first step identification the diagonally oriented meta-rows of source frame data that correspond to the pixels of an entire row of the destination frame, based on the principal transform coefficients. A second step is to horizontalize the source frame data of the meta-rows that correspond to the pixels of an entire row of the destination frame, by storing each meta-row of source frame data into one row of a memory buffer, such as a multi-line buffer. Then, a moving-window interpolation step sequentially interpolates based on the principal transform coefficients and outputs the image data of an entire row of the destination frame in raster order.

Abstract: Embodiments of systems, methods and apparatuses for a parser for generating one or more data structures representative of a structured document are disclosed. More specifically, embodiments of a parser may comprise hardware circuitry operable to receive a structured document, begin parsing the structured document as it is being received and generating the data structures representative of the structured document as it is being parsed.