Abstract: Methods and systems are provided characterizing a formation traversed by a wellbore, wherein the formation includes at least a flushed zone and an uninvaded zone, which involve obtaining well log data based on plurality of different well log measurements of the formation at multiple depths in the wellbore. The well log data is used by a computational model that solves for a set of petrophysical parameters that characterize a portion of the formation corresponding to the multiple depths in the wellbore, wherein the set of petrophysical parameters include a cementation exponent, a saturation exponent, and a flushed zone water resistivity. The solved-for set of petrophysical parameters can be used to determine a value of water saturation of the uninvaded zone for the portion of the formation corresponding to the multiple depths in the wellbore.

Abstract: Embodiments of the present disclosure relate to methods, devices and computer readable media for communication. A terminal device receives, from a first network device, a conditional reconfiguration indicating that a subsequent conditional cell change is enabled. If the subsequent conditional cell change to a candidate cell is to be performed after a cell change or addition is performed, the terminal device determines a first counter value, the first counter value being different from a second counter value used for the cell change or addition, and determines, based on the first counter value, a security key for communication with a second network device providing the candidate cell. In this way, a security key is determined for a subsequent conditional cell change.

Abstract: Example embodiments of the present disclosure relate to an effective mechanism for reference signal (RS) configuration. In this solution, the terminal device determines at least one cyclic shift (CS) for an SRS transmission with four antenna ports, the at least one CS comprising: at least one first CS and at least one second CS, where the at least one second CS is different from the at least one first CS. Further, the terminal device transmits, to a network device and based on the at least one first CS and the at least one second CS, the SRS transmission over a comb-structure resource with a comb value of eight. In this way, the peak to average power ratio (PAPR) performance is improved.

Abstract: Embodiments presented provide for a classification of sonic data. In one aspect, visual features of sonic data are used to classify the sonic data and provide a quality control mechanism to ensure that a researcher understands the quality of the data calculations. In one or more embodiments, the method can obtain the raw sonic data from field measurements. The field measurements can pertain to downhole geological features.

Abstract: The present disclosure relates to a method that includes receiving ultra-deep azimuthal resistivity (UDAR) measurements from a downhole tool within a geological formation. The method also includes determining a data processing window based on a relative location of a transmitter of the downhole tool with respect to a location of one or more components of the downhole tool. Further, the method includes performing a three-dimensional (3D) inversion of the UDAR measurements based on the relative location of the transmitter. Further still, the method includes generating an anisotropic resistivity distribution and relative formation dip output based on the 3D inversion.

Abstract: Aspects described herein provide for methods and apparatus for interpretation of borehole sonic dispersion data using data-driven machine learning based approaches. Training datasets are generated from two possible sources. First, application of machine learning enabled automatic dipole interpretation (MLADI) and/or machine learning enabled automatic quadrupole interpretation (MLAQI) methods on field data processing will naturally create substantial volume of labeled data, i.e., pairing dispersion data with dispersion modes labeled by MLADI and MLAQI. Second, it is also possible to generate large volume of synthetic dispersion data from known model parameters. These two types of labeled data can be used either separately or in combination to train neural network models. These models can map dispersion data to modal dispersion much more efficiently.

Abstract: Embodiments of the present disclosure relate to methods, devices and computer readable media for communication. A terminal device receives a set of configurations for a set of candidate cells. The terminal device determines a reference configuration, and applies, based on the reference configuration, a configuration for a candidate cell in the set of configurations. In this way, a delta configuration may be supported for subsequent conditional cell change or L1/L2 based mobility.

Abstract: Embodiments of the present disclosure relate to method, device and computer readable medium for hybrid automatic repeat request (HARQ) feedback. The method comprises receiving, from a network device, first control information at least comprising first channel indices for a first group of data channels and second channel indices for a second group of data channels, the first group of the data channels being at least part of a first set of data channels scheduled for data transmission from the network device to the terminal device and the second group of the data channels being at least part of a second set of data channels scheduled for the data transmission. The method also comprises generating, based on the first control information, feedback information indicating first reception states of data on the first group of data channels in association with the first channel indices and second reception states of data on the second group of data channels in association with the second channel indices.

Abstract: Embodiments of the present disclosure relate to methods, devices and computer readable media for communication. A method of communication comprises determining, at a terminal device, whether first paging occasion information of a first paging overlaps with second paging occasion information of a second paging; and in response to the first paging occasion information overlapping with the second paging occasion information, transmitting an indication of paging collision between the first paging and the second paging to a network device associated with the first paging. In this way, the solving of the paging collision issue can be facilitated at RAN side, and low latency and high efficiency can be achieved.

Abstract: Embodiments of the present disclosure relate to methods, devices and computer readable media for communications. A method implemented at a terminal device comprises receiving, at the terminal device from a network device, first information about a first Artificial Intelligence (AI) model. The method also comprises applying, based on the first information, the first AI model to a first use case associated with the first AI model. The first use case comprises at least one of the following: mobility management for the terminal device, uplink resource allocation for the terminal device, channel state information (CSI) feedback enhancement, beam management, positioning accuracy enhancement, or reference signal (RS) overhead reduction.

Abstract: Embodiments of the present disclosure relate to method, device and computer readable medium for contention window adjustment. In example embodiments, a method includes selecting, at least from first transmissions in a first time interval, a set of reference transmissions based on occupancy of a set of subbands by the first transmissions, clear channel assessment being performed on the set of subbands. The method further includes determining an unsuccessful reception ratio based on reception states of the set of reference transmissions. The method further includes determining, based on the unsuccessful reception ratio, an adjustment on a contention window for a second transmission in a second time interval after the first time interval.

Abstract: A general-purpose workflow for automatic borehole sonic data classification to identify data into different physical categories and logging conditions, which are traditionally manually evaluated. The workflow uses machine learning techniques and physical knowledge for data classification, including pre-processing the high-dimensional high-quality dispersion modes extracted using a recently developed physical-driven ML enabled approach.

Abstract: Embodiments of the present disclosure relate to methods, devices and apparatus of resource mapping for data transmission and of data receiving. In an embodiment of the present disclosure, a carrier frequency band for the data transmission is divided into a plurality of sub-bandwidths, and the method may include mapping resource elements for the data transmission in an order of sub-bandwidths and mapping, in each of the plurality sub-bandwidths, the resource elements first in an order of frequency domain and then in an order of time domain. With embodiments of the present disclosure, new radio access system with wider bandwidth could co-exist well with other communication on unlicensed band like WiFi.

Abstract: Embodiments of the present disclosure relate to methods, devices and computer readable media for communications. A method comprises determining, at a first terminal device, a reference duration. A method also comprises determining, based on the reference duration, a value of a contention window for a channel access procedure for sidelink.

Abstract: The subject disclosure relates to the interpretation of borehole sonic data using machine learning. In one example of a method in accordance with aspects of the instant disclosure, borehole sonic data is received, and machine learning is used to interpret the borehole sonic data.

Abstract: Process for determining rock permeability. In some embodiments, the process can include determining a volume-based aspect ratio distribution of pores in a rock sample from a digital image of the sample, grouping the volume-based aspect ratio distribution into two or more pore types, selecting an initial pore type from the two or more pore types, obtaining mercury injection capillary pressure (MICP) data of the sample, creating a volume forward model and a frequency forward model using the MICP data, deriving an initial volume-based pore size distribution and an initial frequency-based pore size distribution for the initial pore type using the volume and the frequency forward models, respectively, selecting either the initial volume-based or the initial frequency-based distribution based on the forward models, and optimizing the selected distribution using an inversion of the MICP data with combinations of two or more pore type distributions to create an optimized distribution.

Abstract: A full-automatic detection apparatus and system for important zoonotic pathogen, and a control method therefor. The full-automatic detection apparatus for important zoonotic pathogen includes: a base capable of moving; an air collection device, configured to collect a to-be-detected sample in air along with the movement of the base; a nucleic acid detection and analysis device, configured to detect the to-be-detected sample collected by the air collection device to determine whether an infectious pathogen exists in the to-be-detected sample; an intelligent mobile device, configured to plan and control a moving path of the base; and a control device, configured to control the intelligent mobile device to plan and control the moving path of the base and to control a sampling period of the air collection device according to a control instruction of the terminal, and transmit a detection result from the nucleic acid detection and analysis device to the terminal.

Abstract: A whitelisting method for blocking script-based malware includes steps of: checking a command line of a process to confirm the process to launch a first interception point of a startup script file; checking whether the startup script file in a whitelist at the first interception point; determining that a test is passed when the startup script file exists in the whitelist, and launching the startup script file, wherein the startup script file at least includes a module script file; confirming the process to invoke a module loader to import and launch a second interception point of the module script file; checking whether the module loader is allowed to import the module script file, or is allowed to launch the module script file that has been imported by using the whitelist at the second interception point.

Abstract: According to embodiments of the present disclosure, solutions on the transport block over multiple slots (TBoMS) are proposed. A terminal device receives a configuration from a network device. The configuration indicates that a transport block is transmitted over a first number of slots. The terminal device determines a start bit point of a circular buffer in a slot within the first number of slots based on a redundancy version start indication, an index of the slot and a predetermined factor. In this way, two parts of the CSI can be decoded independently and it can achieve improved performances.