A method comprises determining an adaptive fluid predictive model calibrated with a plurality of types of sensor data, wherein the plurality of types of sensor responses comprise a first type of sensor response associated with a synthetic parameter space and a second type of sensor response associated with a tool parameter space. The method comprises applying the adaptive fluid predictive model to one or more fluid samples from field measurements obtained from a tool deployed in a wellbore formed in a subterranean formation and determining a value of a fluid answer product prediction with the applied adaptive fluid predictive model. The method comprises facilitating a wellbore operation with the tool based on the value of the fluid answer product prediction.

A method comprises determining an adaptive fluid predictive model calibrated with a plurality of types of sensor data, wherein the plurality of types of sensor responses comprise a first type of sensor response associated with a synthetic parameter space and a second type of sensor response associated with a tool parameter space. The method comprises applying the adaptive fluid predictive model to one or more fluid samples from field measurements obtained from a tool deployed in a wellbore formed in a subterranean formation and determining a value of a fluid answer product prediction with the applied adaptive fluid predictive model. The method comprises facilitating a wellbore operation with the tool based on the value of the fluid answer product prediction.

A hybrid sensor for calibrating a primary active infrared (IR) sensor to more accurately locate, continuously calibrate, and conserve energy by more accurately detecting via the active IR detection is described herein. The hybrid sensor includes one or more infrared sensors and one or more time-of-flight sensors. The time-of-flight sensor may remain in a dormant state (e.g., low power or sleep mode) until the one or more infrared sensors detect an object. In response to detecting an object, the time-of-flight sensor may be activated to obtain several measurements of the object. After obtaining the measurements, the time-of-flight sensor may return to its dormant state. The hybrid sensor may use the measurements obtained by the time-of-flight sensor to calibrate the one or more infrared sensors to provide more accurate measurements on an object-by-object basis.

A hybrid sensor for calibrating a primary active infrared (IR) sensor to more accurately locate, continuously calibrate, and conserve energy by more accurately detecting via the active IR detection is described herein. The hybrid sensor includes one or more infrared sensors and one or more time-of-flight sensors. The time-of-flight sensor may remain in a dormant state (e.g., low power or sleep mode) until the one or more infrared sensors detect an object. In response to detecting an object, the time-of-flight sensor may be activated to obtain several measurements of the object. After obtaining the measurements, the time-of-flight sensor may return to its dormant state. The hybrid sensor may use the measurements obtained by the time-of-flight sensor to calibrate the one or more infrared sensors to provide more accurate measurements on an object-by-object basis.

A method and apparatus to calibrate a resistivity measurement taken by a downhole tool in a borehole, wherein the downhole tool estimates the resistivity of an underground formation penetrated by the borehole with at least one sensor situated at a non-zero standoff distance from the borehole, is provided. The method includes taking apparent impedance measurements with the sensor at a set of frequencies and at a first plurality of locations in the borehole, wherein the measurement are uncalibrated measurements. The method also includes identifying a portion of the borehole in which the apparent impedance measurements at least at a first frequency of the set have a predetermined behavior. The predetermined behavior is that the apparent impedance measurements taken in the portion are substantially fitting a linear model when represented in the complex plane. The method also includes using a plurality of measurements obtained at a second plurality of location situated in said portion at the first frequency to determine calibration coefficients for the measurements at said frequency.

A method and apparatus to calibrate a resistivity measurement taken by a downhole tool in a borehole, wherein the downhole tool estimates the resistivity of an underground formation penetrated by the borehole with at least one sensor situated at a non-zero standoff distance from the borehole, is provided. The method includes taking apparent impedance measurements with the sensor at a set of frequencies and at a first plurality of locations in the borehole, wherein the measurement are uncalibrated measurements. The method also includes identifying a portion of the borehole in which the apparent impedance measurements at least at a first frequency of the set have a predetermined behavior. The predetermined behavior is that the apparent impedance measurements taken in the portion are substantially fitting a linear model when represented in the complex plane. The method also includes using a plurality of measurements obtained at a second plurality of location situated in said portion at the first frequency to determine calibration coefficients for the measurements at said frequency.

A method comprises determining an adaptive fluid predictive model calibrated with a plurality of types of sensor data, wherein the plurality of types of sensor responses comprise a first type of sensor response associated with a synthetic parameter space and a second type of sensor response associated with a tool parameter space. The method comprises applying the adaptive fluid predictive model to one or more fluid samples from field measurements obtained from a tool deployed in a wellbore formed in a subterranean formation and determining a value of a fluid answer product prediction with the applied adaptive fluid predictive model. The method comprises facilitating a wellbore operation with the tool based on the value of the fluid answer product prediction.

A method comprises determining an adaptive fluid predictive model calibrated with a plurality of types of sensor data, wherein the plurality of types of sensor responses comprise a first type of sensor response associated with a synthetic parameter space and a second type of sensor response associated with a tool parameter space. The method comprises applying the adaptive fluid predictive model to one or more fluid samples from field measurements obtained from a tool deployed in a wellbore formed in a subterranean formation and determining a value of a fluid answer product prediction with the applied adaptive fluid predictive model. The method comprises facilitating a wellbore operation with the tool based on the value of the fluid answer product prediction.

Methods and systems for implementing and utilizing radiometric characterization in combination with reference material characterization of an optical sensor to more accurately and efficiently measure material properties are disclosed. In some embodiments, a method for for optically measuring material properties includes an optical sensor being radiometrically characterized based on measured optical responses. A model is generated and includes model components of the optical sensor. A parameterized model is generated by fitting n variable parameters of the model components using the optical responses. The optical sensor is utilized to measure an optical response to a reference material and a re-parameterized model is generated by re-fitting m of the n variable parameters of the model components based, at least in part, on the measured optical response to the reference material, wherein m is less than n.

Methods and systems for implementing and utilizing radiometric characterization in combination with reference material characterization of an optical sensor to more accurately and efficiently measure material properties are disclosed. In some embodiments, a method for for optically measuring material properties includes an optical sensor being radiometrically characterized based on measured optical responses. A model is generated and includes model components of the optical sensor. A parameterized model is generated by fitting n variable parameters of the model components using the optical responses. The optical sensor is utilized to measure an optical response to a reference material and a re-parameterized model is generated by re-fitting m of the n variable parameters of the model components based, at least in part, on the measured optical response to the reference material, wherein m is less than n.