Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may identify a plurality of resource sets, wherein a resource set, of the plurality of resource sets, includes one or more type-0 resources and one or more type-1 resources, wherein the one or more type-0 resources are configured with a single transmission configuration indicator (TCI) state and the one or more type-1 resources are configured with at least two TCI states; identify a plurality of hypotheses; identify a set of hypothesis groups, wherein the plurality of hypotheses are divided into the set of hypothesis groups; and report, to one or more transmit receive points (TRPs) and for the set of hypothesis groups, a set of channel state information (CSIs) corresponding to the set of hypothesis groups. Numerous other aspects are provided.

Abstract: Methods, systems, and devices for wireless communications are described. In some examples, a first UE may be configured to transmit multiple sidelink synchronization signal blocks (S-SSBs) within an S-SSB period, the transmissions back-to-back or non-back-to-back. The first UE may determine one or more listen-before-talk occasions associated with the S-SSBs, participate in at least one listen-before-talk procedure during a listen-before-talk occasion, and transmit the multiple S-SSBs to a second UE. In some other examples, the first UE may identify a reference frequency position of a reference S-SSB in a sidelink BWP. The first UE may transmit the reference S-SSB and one or more additional S-SSBs to a second UE, the one or more additional S-SSBs having frequency positions following the reference frequency position.

Abstract: Methods, systems, and devices for wireless communications are described. A first UE may receive a message indicating a configuration or a sidelink discovery burst transmission window. The configuration may include time periods for transmitting multiple sidelink synchronization signals. The first UE may perform a channel access procedure during the sidelink discovery burst transmission window. The first UE may perform the channel access procedure for transmitting one or more of the sidelink synchronization signals according to a pattern indicated by the configuration. The pattern may be based on a quasi co-location relationship between associated pairs of the sidelink synchronization signals. The first UE may transmit the one or more sidelink synchronization signals to a second UE in accordance with the pattern indicated by the configuration.

Abstract: Some aspects described herein relate to transmitting, by a first user equipment (UE), a cooperation discovery signal related to cooperative communication, and receiving, from one or more second UEs and in response to the cooperation discovery signal, a request to connect with the first UE for cooperative communication. Other aspects relate to receiving the cooperation discovery signal and transmitting the request in response to the cooperation discovery signal.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive a first one or more physical sidelink shared channel communications associated with a first set of physical sidelink shared channel priorities and associated with a first feedback message codebook. The UE may receive a second one or more physical sidelink shared channel communications associated with a second set of physical sidelink shared channel priorities and associated with a second feedback message codebook. The UE may include transmit, based at least in part on a physical sidelink feedback channel feedback resource configuration, a first feedback message in a first physical sidelink feedback channel feedback resource and a second feedback message in a second physical sidelink feedback channel feedback resource.

Abstract: Wireless communication devices, systems, and methods related to downlink control information (DCI) designs for multi-component carrier scheduling are provided. For example, a method of wireless communication can include receiving a downlink control information (DCI) message having a DCI format, the DCI message scheduling a downlink data communication over a single component carrier or multiple component carriers; determining, based on the received DCI message, whether the downlink data communication is scheduled over the single component carrier or the multiple component carriers; and receiving, based on the determining, the downlink data communication over the single component carrier or the multiple component carriers.

Abstract: Systems, apparatus, articles, and methods are described including operations for size based transform unit context derivation. In an example encoder, first circuitry is to encode video input data into a bitstream according to a bitstream syntax, wherein the video input data includes one or more pictures, the one or more pictures are partitioned into one or more coding tree blocks, the one or more coding tree blocks are partitioned into slices including one or more coding tree blocks, the one or more coding tree blocks include one or more transform blocks according to a transform tree including a split_transform_flag indicative of the split of a given coding block into corresponding one or more transform blocks, the split_transform_flag is coded using CABAC, and a context index associated with the CABAC coding of the split_transform_flag is based on a value. Second circuitry of the encoder is to output the bitstream.

Abstract: This disclosure provides systems, methods and apparatus, including computer programs encoded on computer storage media, for sidelink assistance for communication between a user equipment (UE) and a network entity. In some aspects, a set of UEs and a network entity may support one or more signaling mechanisms according to which at least one UE is able to assist other UEs in receiving or obtaining information to use for communication with the network entity. For example, a first UE may receive assistance information from a second UE and may use the received assistance information for communication between the first CE and the network entity or may otherwise operate in accordance with the received assistance information. Such assistance information may include an indication of a system information change, a public warning signal (PWS) notification, one or more signal strength measurements, or uplink transmission information.

Abstract: The present invention discloses a right-angle turning method for small-diameter TBM exploration adit excavation and belongs to the field of geological exploration of water conservancy and hydropower projects.

Abstract: A method is described for property estimation including receiving a seismic dataset representative of a subsurface volume of interest and a well log from a well location within the subsurface volume of interest; identifying seismic traces in the seismic dataset that correspond to the well location to obtain a subset of seismic traces; windowing the subset of seismic traces and the well log to generate windowed seismic traces and a windowed well log; multiplying the windowed seismic traces and the windowed well log by a random matrix to generate a plurality of training datasets; and training a neural network using the plurality of training datasets. The method may be executed by a computer system.

Abstract: A method is described for estimating hydrocarbon reservoir attributes including obtaining a geophysical dataset and a geological dataset; obtaining a parameter model, the parameter model having been conditioned by training an initial parameter model using training data, wherein the geological data includes well data and the training data includes the well data; picking a surface in the geophysical dataset; assigning stratigraphic meaning to the at least one surface based on the geological dataset; identifying at least one region of interest on the at least one surface; generating statistical seismic attributes for the at least one region; identifying critical attributes among the statistical seismic attributes by applying the parameter model to generate response variable maps for the at least one region; and generating uncertainty maps for each of the critical attributes and for the response variables. The method may be executed by a computer system.

Abstract: A method is described for estimating hydrocarbon reservoir attributes including obtaining a geophysical dataset and a geological dataset; obtaining a parameter model, the parameter model having been conditioned by training an initial parameter model using training data, wherein the geological data includes well data and the training data includes the well data; picking a surface in the geophysical dataset; assigning stratigraphic meaning to the at least one surface based on the geological dataset; identifying at least one region of interest on the at least one surface; generating statistical seismic attributes for the at least one region; identifying critical attributes among the statistical seismic attributes by applying the parameter model to generate response variable maps for the at least one region; and generating uncertainty maps for each of the critical attributes and for the response variables. The method may be executed by a computer system.

Abstract: A method is described for property estimation including receiving a seismic dataset representative of a subsurface volume of interest and a well log from a well location within the subsurface volume of interest; identifying seismic traces in the seismic dataset that correspond to the well location to obtain a subset of seismic traces; windowing the subset of seismic traces and the well log to generate windowed seismic traces and a windowed well log; multiplying the windowed seismic traces and the windowed well log by a random matrix to generate a plurality of training datasets; and training a neural network using the plurality of training datasets. The method may be executed by a computer system.

Abstract: A system and method to predict rock strength by directly inverting for petrophysical properties. In one embodiment, seismic data is received or obtained from a seismic survey (step 101). The seismic data are then conditioned (step 103) in order to prepare them for an inversion process (step 105). The inversion process has an embedded rock physics model that allows the inversion to be formulated based upon, and thereby outputting or calculating (step 107), petrophysical properties. Rock strength data may then be calculated from the petrophysical properties (step 109).

Abstract: A hydrocarbon exploration method for determining subsurface properties from geophysical survey data. Rock physics trends are identified and for each trend a rock physics model is determined that relates the subsurface property to geophysical properties (103). The uncertainty in the rock physics trends is also estimated (104). A geophysical forward model is selected (105), and its uncertainty is estimated (106). These quantities are used in an optimization process (107) resulting in an estimate of the subsurface property and its uncertainty.

Abstract: A system and method to predict rock strength by directly inverting for petrophysical properties. In one embodiment, seismic data is received or obtained from a seismic survey (step 101). The seismic data are then conditioned (step 103) in order to prepare them for an inversion process (step 105). The inversion process has an embedded rock physics model that allows the inversion to be formulated based upon, and thereby outputting or calculating (step 107), petrophysical properties. Rock strength data may then be calculated from the petrophysical properties (step 109).

Abstract: A hydrocarbon exploration method for determining subsurface properties from geophysical survey data. Rock physics trends are identified and for each trend a rock physics model is determined that relates the subsurface property to geophysical properties (103). The uncertainty in the rock physics trends is also estimated (104). A geophysical forward model is selected (105), and its uncertainty is estimated (106). These quantities are used in an optimization process (107) resulting in an estimate of the subsurface property and its uncertainty.