Abstract: The present application discloses a photoelectrode and a preparation method therefor, and a Pt-based alloy catalyst and a preparation method therefor.

Abstract: This application discloses a band-pass concentrator (BPC) for visible light communications (VLC) and a VLC system. The BPC includes a housing. A cavity is disposed in the housing, and the cavity is filled with a dielectric. A light entrance that presents a concave spherical surface and that is recessed towards the cavity is disposed on a side of the housing, a light exit is disposed on a side of the housing that is opposite to the light entrance, and a side of the light exit that is away from the cavity is configured with dielectric multilayers that has a filtering function. Compared with a conventional CPC, the BPC implement the larger field of view, higher optical gain, reduced mass, and filtering function. The VLC system using the as-proposed BPC clearly increase the communications distance, bandwidth, and receiving field of view, and reduce the overall complexity and costs.

Abstract: The selection of a candidate formation realization(s) from a plurality of formation realizations may be done with a classification and regression tree (CART) analysis taking into account petrophysical and geological properties. For example, a method may include applying a CART analysis to a plurality of formation realizations using a first formation property as a predictor in the CART analysis, wherein the plurality of formation realizations are for a second formation property and are based on at least one measured formation property, thereby yielding an association between the first and second properties for each of the plurality of formation realizations; analyzing a strength of the association for each of the plurality of formation realizations; and selecting a candidate formation realization from the plurality of formation realizations based on the strength of the association. The identified candidate formation realization(s) may then be used to develop the parameters of subsequent wellbore operations.

Abstract: The selection of a candidate formation realization(s) from a plurality of formation realizations may be done with a classification and regression tree (CART) analysis taking into account petrophysical and geological properties. For example, a method may include applying a CART analysis to a plurality of formation realizations using a first formation property as a predictor in the CART analysis, wherein the plurality of formation realizations are for a second formation property and are based on at least one measured formation property, thereby yielding an association between the first and second properties for each of the plurality of formation realizations; analyzing a strength of the association for each of the plurality of formation realizations; and selecting a candidate formation realization from the plurality of formation realizations based on the strength of the association. The identified candidate formation realization(s) may then be used to develop the parameters of subsequent wellbore operations.