Abstract: A mobile device scans a machine-readable code on a collection container; a Web page is downloaded to the device from a Web application which generates or retrieves a unique identifier for the device. The device then scans a can and the can's unique identifier is transmitted to the Web application to determine if the can had been scanned. If not, the device is alerted and a credit for the device's unique identifier is updated in a database. Or, the device scans a card to obtain a user unique identifier and then scans the can. The device scans a machine-readable code of the collection container to obtain a unique identifier for that collection container. Or, a user scans the card using an embedded scanning device of a collection container before scanning a can. The embedded device includes the unique identifier of the collection container which is sent to the Web application.

Abstract: A sensor assembly comprises an optical fiber having a sensing fiber portion that comprises at least one Fiber Bragg Grating. Further, the sensor assembly comprises a sensing body having body ends coupled to the fiber at opposite axial sides of the sensing fiber portion. Optionally, the optical fiber is arranged within a capillary, and the body ends of the sensing body are attached to the capillary, at opposite axial sides of the sensing fiber portion. The capillary may be filled with glue for attaching the optical fiber to the capillary.

Abstract: When a service is requested at a platform in a collaborative services environment, a service orchestration engine accesses a service definition from a repository and schedules a number of tasks at a number of end points in accordance with a number of end point profiles and a number of policies associated with the end points.

Abstract: When a service is requested at a platform in a collaborative services environment, a service orchestration engine accesses a service definition from a repository and schedules a number of tasks at a number of end points in accordance with a number of end point profiles and a number of policies associated with the end points.

Abstract: A method is disclosed for the generation and application of anisotropic elastic parameters. Anisotropic elastic parameters are generated such that, for selected seismic wave and anisotropy types, an approximation to the anisotropic modeling of seismic amplitudes is obtained by the equivalent isotropic modeling with the anisotropic elastic parameters. In seismic modeling, wavelet estimation, seismic interpretation, inversion and the interpretation and analysis of inversion results anisotropy are handled with isotropic methods, when earth elastic parameters utilized in these methods are replaced by the anisotropic elastic parameters.

Abstract: A method is disclosed for the generation and application of anisotropic elastic parameters. Anisotropic elastic parameters are generated such that, for selected seismic wave and anisotropy types, an approximation to the anisotropic modeling of seismic amplitudes is obtained by the equivalent isotropic modeling with the anisotropic elastic parameters. In seismic modeling, wavelet estimation, seismic interpretation, inversion and the interpretation and analysis of inversion results anisotropy are handled with isotropic methods, when earth elastic parameters utilized in these methods are replaced by the anisotropic elastic parameters.

Abstract: A method for determining from measured reflection data on a plurality of trace positions, a plurality of subsurface parameters. The method includes the steps of: preprocessing the measured reflection data into a plurality of partial or full stacks; specifying one or more initial subsurface parameters defining an initial subsurface model; specifying a wavelet or wavelet field for each of the partial or full stacks of the measured reflection data; calculating synthetic reflection data based on the specified wavelets and the initial subsurface parameters; optimizing an objective function, including the weighted difference between measured reflection data and synthetic reflection data for a plurality of trace positions simultaneously; and outputting the optimized subsurface parameters. A device for implementing this method is also included.

Abstract: A method for determining from measured reflection data on a plurality of trace positions, a plurality of subsurface parameters. The method includes the steps of: preprocessing the measured reflection data into a plurality of partial or full stacks; specifying one or more initial subsurface parameters defining an initial subsurface model; specifying a wavelet or wavelet field for each of the partial or full stacks of the measured reflection data; calculating synthetic reflection data based on the specified wavelets and the initial subsurface parameters; optimizing an objective function, including the weighted difference between measured reflection data and synthetic reflection data for a plurality of trace positions simultaneously; and outputting the optimized subsurface parameters. A device for implementing this method is also included.

Abstract: A method for determining from measured reflection data on a plurality of trace positions, a plurality of subsurface parameters. The method includes the steps of: preprocessing the measured reflection data into a plurality of partial or full stacks; specifying one or more initial subsurface parameters defining an initial subsurface model; specifying a wavelet or wavelet field for each of the partial or full stacks of the measured reflection data; calculating synthetic reflection data based on the specified wavelets and the initial subsurface parameters; optimizing an objective function, including the weighted difference between measured reflection data and synthetic reflection data for a plurality of trace positions simultaneously; and outputting the optimized subsurface parameters. A device for implementing this method is also included.

Abstract: A method for classification of a subsurface includes the steps of: inputting at least two seismic drive layer property data sets; inputting data defining one or more zones of interest in the classification input data sets; inputting analysis data sets with data types corresponding to that of the classification input data sets; inputting data defining a subset of interest in the analysis data sets; defining in the subset of interest within the data type space one or more data type subspaces that characterize subsurface features; selecting at least one data type subspace to be used for classification; determining which data points in the zone of interest fall within the selected data type subspaces; and typifying these data points to so classify these data points of the classification input data.

Abstract: A method for reducing noise and for deriving new data from seismic and seismic derived rock property data includes determining a rate of change and direction of rate of change of amplitudes of seismic and seismic derived rock property cubes along microlayer horizons and filtering this data long the microlayer horizons. To facilitate this determination, microlayer horizons can be locally rotated around each microlayer horizon definition point. The data determined for the microlayer horizons are sequentially organized in time whereupon a display of the microlayer horizons can be sequentially stepped through to view the output data of each microlayer horizon.

Abstract: Disclosed is a method to estimate elastic and compositional parameters by the inversion of multiple seismic and echo-acoustic data full or partial stacks. The method utilizes the information in the amplitudes of the input seismic data sets and differences between the amplitudes in the different input data sets. The method further makes use of the contrast of the reflectivity and/or the elastic and compositional parameters and may make use of a background trend model, relationships between the parameters, control on the lateral rate of change of the parameters and constraints on the parameters or functions of parameters to enhance the results. Additionally, corrections may be made for differential time shifts between the input data sets. The method can be applied to seismic data acquired to analyze the subsurface and to echo-acoustical data acquired for medical and material analysis purposes.