Abstract: Methods are provided for making bipolar electrochemical devices, such as batteries, using electrophoresis. A bipolar device is assembled by applying a field that creates a physical separation between two active electrode materials, without requiring insertion of a discrete separator film or electrolyte layer.

Abstract: Methods are provided for making bipolar electrochemical devices, such as batteries, using electrophoresis. A bipolar device is assembled by applying a field that creates a physical separation between two active electrode materials, without requiring insertion of a discrete separator film or electrolyte layer.

Abstract: The present invention generally provides methods of geological analysis. The method includes collecting wellbore data from a well undergoing underbalanced drilling. The wellbore data is then correlated to a seismic data to predict geological properties away from the wellbore. In one embodiment, correlating the seismic data with the wellbore data involves converting the seismic data and the wellbore data to a one-dimensional numerical series, respectively. The two respective one-dimensional numerical series are compared to each other to produce a mathematical formulation relating the two series. In another embodiment, the wellbore data may be separated into different categories or classifications and individually compared to the seismic data. Preferably, the categories are compared to two or more variations of seismic data and their attributes to derive at unique “signatures” for the respective category. The signatures may then be used to produce “classification” maps of the wellbore data.

Abstract: The present invention generally provides methods of geological analysis. The method includes collecting wellbore data from a well undergoing underbalanced drilling. The wellbore data is then correlated to a seismic data to predict geological properties away from the wellbore. In one embodiment, correlating the seismic data with the wellbore data involves converting the seismic data and the wellbore data to a one-dimensional numerical series, respectively. The two respective one-dimensional numerical series are compared to each other to produce a mathematical formulation relating the two series. In another embodiment, the wellbore data may be separated into different categories or classifications and individually compared to the seismic data. Preferably, the categories are compared to two or more variations of seismic data and their attributes to derive at unique “signatures” for the respective category.

Abstract: The present invention generally provides methods of geological analysis. The method includes collecting wellbore data from a well undergoing underbalanced drilling. The wellbore data is then correlated to a seismic data to predict geological properties away from the wellbore. In one embodiment, correlating the seismic data with the wellbore data involves converting the seismic data and the wellbore data to a one-dimensional numerical series, respectively. The two respective one-dimensional numerical series are compared to each other to produce a mathematical formulation relating the two series. In another embodiment, the wellbore data may be separated into different categories or classifications and individually compared to the seismic data. Preferably, the categories are compared to two or more variations of seismic data and their attributes to derive at unique “signatures” for the respective category.

Abstract: The present invention generally provides methods of geological analysis. The method includes collecting wellbore data from a well undergoing underbalanced drilling. The wellbore data is then correlated to a seismic data to predict geological properties away from the wellbore. In one embodiment, correlating the seismic data with the wellbore data involves converting the seismic data and the wellbore data to a one-dimensional numerical series, respectively. The two respective one-dimensional numerical series are compared to each other to produce a mathematical formulation relating the two series. In another embodiment, the wellbore data may be separated into different categories or classifications and individually compared to the seismic data. Preferably, the categories are compared to two or more variations of seismic data and their attributes to derive at unique “signatures” for the respective category.