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US 2020/0048992 A1Published application
In-situ evaluation of gauges
AssigneeSchlumberger Technology Corporation
InventorsNicholas Williard, Mihitha Nutakki, Ahmed Fikri Ali Mosallam, Daniel Viassolo, Laurent Cotelle, Marco Alioto, Lucile Baur
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Abstract
Methods for evaluating sensor data to predict when the sensor should be recalibrated are described. The methods include a model that utilizes current wellbore data as input for the recalibration prediction.
Claims20
A method for determining when to calibrate a wellbore sensor comprising:
- a) modeling drift thresholds for one or more wellbore sensors;
- b) collecting field data from the one or more wellbore sensors;
- c) comparing the collected field data to the drift thresholds;
- and
- d) recalibrating the one or more wellbore sensors if the collected field data exceeds the drift thresholds.
2 more elements
A method for determining the drift status of a wellbore sensor comprising:
- a) creating a dynamic model defining drift thresholds for one or more wellbore sensors, the dynamic model created by combining field data collected by the one or more wellbore sensors and laboratory calibration data for the one or more wellbore sensors;
- b) inputting field data collected by the one or more wellbore sensors into the dynamic model;
- c) comparing the input field data to the defined drift thresholds for the one or more wellbore sensors;
- d) updating the dynamic model with the input field data;
- and
- e) calibrating the one or more wellbore sensors if the input field data exceeds the defined drift thresholds.
3 more elements
Dependencies are inferred from the claim text.