Abstract: A method, sensor, and non-transitory computer-readable storage medium are provided for estimating actual amplitudes of a waveform. A machine learning model may be trained for an embedded system of a first three-axes sensor having a limited range to estimate the actual amplitudes of a waveform that saturates the first three-axes sensor in a direction of one of the three axes. The embedded system acquires a second waveform during use of a tool including the first three-axes sensor. The second waveform that occurs after a second waveform producing event is isolated. The embedded system extracts a multi-dimensional feature from the isolated second waveform and estimates, using the machine learning model, the actual amplitudes of the second waveform based on the extracted multi-dimensional feature.

Abstract: A downhole sensor system includes a first sensor package having a substrate, an integrated circuit chip mounted to the substrate, the integrated circuit chip including a processor, a transducer chip mounted to the integrated circuit chip, and a plurality of sensors configured to measure at least shock, pressure, temperature, and humidity. At least one of the plurality of sensors is mounted to the transducer chip such that a stack is formed at least from the substrate, the integrated circuit, the transducer chip, and the sensor. The plurality of sensors are in communication with the processor.

Abstract: The service life of a packer element, an annular BOP, is estimated using one pressure sensor below the elastomer seal or two pressure sensors positioned above and below the elastomer seal. The pressure variations below the elastomer are monitored versus piston position and used to detect elastomer wear with time/pressure cycles. The pressure variations above the elastomer can be used to detect potential leakage, as well as leak characteristics such as leaking rate or leak geometry.

Abstract: The service life of a packer element, an annular BOP, is estimated using one pressure sensor below the elastomer seal or two pressure sensors positioned above and below the elastomer seal. The pressure variations below the elastomer are monitored versus piston position and used to detect elastomer wear with time/pressure cycles. The pressure variations above the elastomer can be used to detect potential leakage, as well as leak characteristics such as leaking rate or leak geometry.