Abstract: The drilling system withstands downhole conditions at the bottom of the borehole and drilling conditions due to the constant movement and vibration. The drilling system includes a drill bit and a sensor system with a system housing, a primary power supply and interior sensor. The primary power supply includes piezoelectric panels for converting radial vibration into energy. The interior sensor is locally powered by the primary power supply at the remote downhole location at the bottom of the borehole. The interior sensor collects data related to a downhole condition and is in communication with the primary power supply to generate confirmed data based on the amount of energy generated by the primary power supply. The confirmed data is more accurate and reliable than the data collected by the interior sensor and can be used to guide the path of the drill bit through the rock formation in drilling operations.

Abstract: The drilling system withstands downhole conditions at the bottom of the borehole and drilling conditions due to the constant movement and vibration. The drilling system includes a drill bit and a sensor system with a system housing, a primary power supply and interior sensor. The primary power supply includes piezoelectric panels for converting radial vibration into energy. The interior sensor is locally powered by the primary power supply at the remote downhole location at the bottom of the borehole. The interior sensor collects data related to a downhole condition and is in communication with the primary power supply to generate confirmed data based on the amount of energy generated by the primary power supply. The confirmed data is more accurate and reliable than the data collected by the interior sensor and can be used to guide the path of the drill bit through the rock formation in drilling operations.

Abstract: The present disclosure describes methods and systems, including computer-implemented methods, computer program products, and computer systems, for image-guided velocity interpolation using a mask cube. One computer-implemented method includes generating a 3D array of velocities, generating a mask for the 3D array of velocities, each value in the 3D array of velocities associated with a corresponding value in the mask, calculating a 3D array of diffused velocities by applying structure oriented smoothing to the 3D array of velocities, calculating a diffused mask by applying the structure oriented smoothing to the mask, and calculating interpolated velocity values based on the 3D array of diffused velocities and the diffused mask.

Abstract: The present disclosure describes methods and systems, including computer-implemented methods, computer program products, and computer systems, for image-guided velocity interpolation using a mask cube. One computer-implemented method includes generating a 3D array of velocities, generating a mask for the 3D array of velocities, each value in the 3D array of velocities associated with a corresponding value in the mask, calculating a 3D array of diffused velocities by applying structure oriented smoothing to the 3D array of velocities, calculating a diffused mask by applying the structure oriented smoothing to the mask, and calculating interpolated velocity values based on the 3D array of diffused velocities and the diffused mask.