Abstract: The present invention relates to the fields of heat storage and thermally conductive materials, and discloses a highly thermally conductive heat storage material, a preparation method therefor, and the application thereof, and a composition for preparing a highly thermally conductive heat storage material and the application thereof. The highly thermally conductive heat storage material comprises 11-41 wt % of a carbonaceous part and 59-89 wt % of a graphitic part; for the carbonaceous part, Lc>18 nm, La>35 nm, d002<0.3388 nm, and the degree of graphitization is 60% to 95%; for the graphitic part, Lc>50 nm; La>80 nm; d002<0.3358 nm, and the degree of graphitization is 95% to 100%. The highly thermally conductive heat storage material comprises a carbonaceous part with a specific structure and a graphitic part with a specific structure, and the heat storage material obtained thereby possesses high thermal conductivity and high compressive strength.

Abstract: A method and system are provided for scheduling data transmission in a Multiple-Input Multiple-Output (MIMO) system. The MIMO system may comprise at least one MIMO transmitter and at least one MIMO receiver. Feedback from one or more receivers may be used by a transmitter to improve quality, capacity, and scheduling in MIMO communication systems. The method may include generating or receiving information pertaining to a MIMO channel metric and information pertaining to a Channel Quality Indicator (CQI) in respect of a transmitted signal; and sending a next transmission to a receiver using a MIMO mode selected in accordance with the information pertaining to the MIMO channel metric, and an adaptive coding and modulation selected in accordance with the information pertaining to the CQI.

Abstract: Methods, software, and computer systems for 3D multiple prediction and removal are disclosed. The method includes determining a set of input diplets. The method includes, for one or more data diplets from the set of input diplets downward propagating the data diplet to model reflection of the data diplet at a location of at least one subsurface discontinuity and determining one or more predicted multiple diplets, based, at least in part on the data diplet and the modeled downward propagated and reflected diplet. The method includes comparing diplets in the set of input diplets with the one or more multiple diplets to determine a set of multiple diplets and a set of demultipled diplets.

Abstract: Methods, systems, and software for determining a seismic image of a target area are disclosed. The target area is defined by a volume of interest (VOI). The method includes receiving an unmigrated set of spatial wavelets, wherein the unmigrated set of spatial wavelets include unmigrated spatial wavelets in the time domain. The method includes receiving a first migrated set of spatial wavelets, wherein the first migrated set of spatial wavelets includes migrated spatial wavelets in the depth domain. Each spatial wavelet comprises information about spatial location, orientation, amplitude, wavelet, acquisition configuration, and coherency. Each spatial wavelet in the unmigrated set of spatial wavelets is linked to a spatial wavelet in the first migrated set of spatial wavelets.