Abstract: A method comprises: receiving wine evaluations of wines from wine panelists, each wine evaluation including intensity values describing a plurality of wine characteristics for each of a set of wines, each wine evaluation generated by a wine panelist; generating a global intensity value from particular intensity values describing a particular wine characteristic of a particular wine, the particular intensity values being from the wine evaluations; comparing a selected intensity value generated by a selected wine panelist describing the particular wine characteristic for the particular wine against the global intensity value to determine an accuracy deviation; comparing the accuracy deviation against an accuracy deviation threshold to determine whether the selected intensity value is deemed inaccurate based on the comparison; updating the global intensity value for the particular wine characteristic for the particular wine based on the accuracy determination; and storing the updated global intensity value in a

Abstract: A method comprises: receiving wine evaluations of wines from wine panelists, each wine evaluation including intensity values describing a plurality of wine characteristics for each of a set of wines, each wine evaluation generated by a wine panelist; generating a global intensity value from particular intensity values describing a particular wine characteristic of a particular wine, the particular intensity values being from the wine evaluations; comparing a selected intensity value generated by a selected wine panelist describing the particular wine characteristic for the particular wine against the global intensity value to determine an accuracy deviation; comparing the accuracy deviation against an accuracy deviation threshold to determine whether the selected intensity value is deemed inaccurate based on the comparison; updating the global intensity value for the particular wine characteristic for the particular wine based on the accuracy determination; and storing the updated global intensity value in a

Abstract: A method comprises: receiving wine evaluations of wines from wine panelists, each wine evaluation including intensity values describing a plurality of wine characteristics for each of a set of wines, each wine evaluation generated by a wine panelist; generating a global intensity value from particular intensity values describing a particular wine characteristic of a particular wine, the particular intensity values being from the wine evaluations; comparing a selected intensity value generated by a selected wine panelist describing the particular wine characteristic for the particular wine against the global intensity value to determine an accuracy deviation; comparing the accuracy deviation against an accuracy deviation threshold to determine whether the selected intensity value is deemed inaccurate based on the comparison; updating the global intensity value for the particular wine characteristic for the particular wine based on the accuracy determination; and storing the updated global intensity value in a

Abstract: A method for uncertainty estimation for nonlinear inverse problems includes obtaining an inverse model of spatial distribution of a physical property of subsurface formations. A set of possible models of spatial distribution is obtained based on the measurements. A set of model parameters is obtained. The number of model parameters is reduced by covariance free compression transform. Upper and lower limits of a value of the physical property are mapped to orthogonal space. A model polytope including a geometric region of feasible models is defined. At least one of random and geometric sampling of the model polytope is performed in a reduced-dimensional space to generate an equi-feasible ensemble of models. The reduced-dimensional space includes an approximated hypercube. Probable model samples are evaluated based on data misfits from among an equi-feasible model ensemble determined by forward numerical simulation.

Abstract: A method comprises: receiving wine evaluations of wines from wine panelists, each wine evaluation including intensity values describing a plurality of wine characteristics for each of a set of wines, each wine evaluation generated by a wine panelist; generating a global intensity value from particular intensity values describing a particular wine characteristic of a particular wine, the particular intensity values being from the wine evaluations; comparing a selected intensity value generated by a selected wine panelist describing the particular wine characteristic for the particular wine against the global intensity value to determine an accuracy deviation; comparing the accuracy deviation against an accuracy deviation threshold to determine whether the selected intensity value is deemed inaccurate based on the comparison; updating the global intensity value for the particular wine characteristic for the particular wine based on the accuracy determination; and storing the updated global intensity value in a

Abstract: A method comprises: receiving wine evaluations of wines from wine panelists, each wine evaluation including intensity values describing a plurality of wine characteristics for each of a set of wines, each wine evaluation generated by a wine panelist; generating a global intensity value from particular intensity values describing a particular wine characteristic of a particular wine, the particular intensity values being from the wine evaluations; comparing a selected intensity value generated by a selected wine panelist describing the particular wine characteristic for the particular wine against the global intensity value to determine an accuracy deviation; comparing the accuracy deviation against an accuracy deviation threshold to determine whether the selected intensity value is deemed inaccurate based on the comparison; updating the global intensity value for the particular wine characteristic for the particular wine based on the accuracy determination; and storing the updated global intensity value in a

Abstract: An exemplary method comprises describing a plurality of wines, each wine of the plurality of wines being described using descriptors, receiving at least one predetermined intensity value associated with each descriptor, storing the descriptors within a wine database, generating a consumer wine preference profile that includes a plurality of user preference intensity values, at least one of the plurality of user preference intensity values being associated with at least one of the descriptors, selecting at least one wine from the plurality of wines by correlating at least a subset of the plurality of user preference intensity values with at least a subset of the predetermined intensity values, and providing identification of the selected at least one wine from the plurality of wines.

Abstract: A method comprises: receiving wine evaluations of wines from wine panelists, each wine evaluation including intensity values describing a plurality of wine characteristics for each of a set of wines, each wine evaluation generated by a wine panelist; generating a global intensity value from particular intensity values describing a particular wine characteristic of a particular wine, the particular intensity values being from the wine evaluations; comparing a selected intensity value generated by a selected wine panelist describing the particular wine characteristic for the particular wine against the global intensity value to determine an accuracy deviation; comparing the accuracy deviation against an accuracy deviation threshold to determine whether the selected intensity value is deemed inaccurate based on the comparison; updating the global intensity value for the particular wine characteristic for the particular wine based on the accuracy determination; and storing the updated global intensity value in a

Abstract: A method for uncertainty estimation for nonlinear inverse problems includes obtaining an inverse model of spatial distribution of a physical property of subsurface formations. A set of possible models of spatial distribution is obtained based on the measurements. A set of model parameters is obtained. The number of model parameters is reduced by covariance free compression transform. Upper and lower limits of a value of the physical property are mapped to orthogonalspace. A model polytope including a geometric region of feasible models is defined. At least one of random and geometric sampling of the model polytope is performed in a reduced-dimensional space to generate an equi-feasible ensemble of models. The reduced-dimensional space includes an approximated hypercube. Probable model samples are evaluated based on data misfits from among an equi-feasible model ensemble determined by forward numerical simulation.

Abstract: A towed marine source to borehole electromagnetic survey system and method for surveying employing the same is disclosed. The system includes a sea vessel adapted for traversal of sea water over a subsea formation, a power supply affixed to the sea vessel and a high moment loop source coupled to the power supply, and a signal generator by a tow cable; said signal generator being affixed to the sea vessel configured to control operating parameters of the high moment loop source. The system also includes a wellbore drilled in the subsea formation, a series of electromagnetic (EM) receivers positioned in the wellbore. Each receiver includes a sensor module having sensing elements to measure one or more of electric fields, electric currents, and magnetic fields produced by the high moment loop source when towed by the sea vessel, and a storage device configured to store data from measurements made by the sensor module.

Abstract: A fiber measurement system for precision measurement of individual fiber properties, including length and fiber length distribution is provided. The fiber measurement system includes a fiber introduction system configured to introduce a plurality of individualized fibers. A fiber guidance enclosure is configured to receive the fibers from the fiber introduction system. The fiber guidance enclosure has an enclosed pathway and a viewing area. The viewing area has a height that limits mobility of the fibers in a Z-direction and the viewing area has a width that is wider than the enclosed pathway. A sensing system is provided for detecting the presence of the fibers within the fiber guidance enclosure. An imaging system is positioned proximal the viewing area of the fiber guidance enclosure to capture an image of the individualized fiber as the fibers pass through the viewing area. A controller is provided for analyzing the image data to determine at least one property of the fibers.

Abstract: A fiber measurement system for precision measurement of individual fiber properties, including length and fiber length distribution is provided. The fiber measurement system includes a fiber introduction system configured to introduce a plurality of individualized fibers. A fiber guidance enclosure is configured to receive the fibers from the fiber introduction system. The fiber guidance enclosure has an enclosed pathway and a viewing area. The viewing area has a height that limits mobility of the fibers in a Z-direction and the viewing area has a width that is wider than the enclosed pathway. A sensing system is provided for detecting the presence of the fibers within the fiber guidance enclosure. An imaging system is positioned proximal the viewing area of the fiber guidance enclosure to capture an image of the individualized fiber as the fibers pass through the viewing area. A controller is provided for analyzing the image data to determine at least one property of the fibers.