Schlumberger Technology Corporation

Mathieu Dauphin

Andrew Speck

Albert Ballard Andrews

Matthew David Givens

Hikmet Andic

Olivier Amsellem

Stephane Hoareau

Aditi Chakrabarti

Estelle Espinosa

Systems and methods are described for developing a model to predict humidity (relative, absolute) values inside a closed housing with an absorbent filter. In an example, a methane sensor that includes an internal atmospheric sensor and an external atmospheric sensor can be placed at a site. A computing device can use measurements from the atmospheric sensors to calculate predicted relative and absolute humidity values inside the methane sensor. The computing device can train a gaussian process regression model to calibrate sensor data based on the external temperature and humidity. When the model predicts the ambient methane within a predetermined degree of allowance, the model can be applied to live readings from methane sensors in the field.

Calibration of humidity and methane inside gas sensor housing

A detection system includes a pressure sensor configured to contact an annular elastomer component of an annular BOP, wherein the pressure sensor is configured to generate a first signal indicative of a contact pressure with the annular elastomer component. The detection system also includes a piston stroke sensor configured to generate a second signal indicative of a piston stroke distance. The detection system further includes a controller configured to receive the first signal from the pressure sensor and the second signal from the piston stroke sensor and analyze respective changes in the contact pressure and respective changes in the piston stroke distance to determine a condition of the annular BOP.

Detection systems and methods for an elastomer component

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Cambridge, MA, United States of America

Mathieu Dauphin