DDHub-Semantic-Interoperability

• Description: this category contains the nouns and verbs required to describe the various types of uncertainty attached to drilling signals. Uncertainties can be related to sensor characteristics, calculations, model calibration, data assimilation.

NOUNS

SignalUncertainty

• Display name: SignalUncertainty
• Parent class: DWISNoun
• Description: Represent the uncertainty associated to a DrillingDataPoint.
• Examples: This noun is not intended to be used directly in describing a signal. However, it can be useful when formulating a query and then it serves as a generic way to check if there are facts related to uncertainty description for a DrillingDataPoint. dwis dataPoint DrillingDataPoint:dataPoint SignalUncertainty:uncertainty dataPoint HasUncertainty uncertainty This query returns all the DrillingDataPoint for which an uncertainty is given.

  GaussianUncertainty

• Display name: GaussianUncertainty
• Parent class: SignalUncertainty
• Description: The uncertainty is represented by a Gaussian distribution, i.e., with a Mean and a StandardDeviation, $\mathcal{N}(\overline{x},{\sigma_{x}}^2)$ where $\overline{x}$ is the Mean value and $\sigma_{x}$ is the StandardDeviation.
• Examples: dwis Signal#01 Signal#02 DrillingDataPoint:ddp#01 GaussianUncertainty:GU#01 ddp#01 HasUncertainty GU#01 DrillingDataPoint:Mean#01 DrillingDataPoint:StdDev#01 GU#01 HasUncertaintyMean Mean#01 GU#01 HasUncertaintyStandardDeviation StdDev#01 DynamicDrillingSignal:Signal#01 DynamicDrillingSignal:Signal#02 Mean#01 HasDynamicValue Signal#01 StdDev#01 HasDynamicValue Signal#02 In this example, ddp#01 is a DrillingDataPoint that has an uncertainty GU#01, which is a Gaussian distribution that is described by a Mean value called Mean#01 and a StandardDeviation value called StdDev#01. Mean#01 is a live signal that is attached to Signal#01. Similarly StdDev#01 is a live signal attached to Signal#02.

  GenericUncertainty

• Display name: GenericUncertainty
• Parent class: SignalUncertainty
• Description: The uncertainty is represented by a Histogram.
• Examples: dwis Signal#01 DrillingDataPoint:ddp#01 GenericUncertainty:GU#01 ddp#01 HasUncertainty GU#01 DrillingDataPoint:Histo#01 GU#01 HasUncertaintyHistogram Histo#01 DynamicDrillingSignal:Signal#01 Histo#01 HasDynamicValue Signal#01 In this example, ddp#01 is a DrillingDataPoint that has an uncertainty GU#01, which is a general probability distribution that is described by a histogram called Histo#01. Histo#01 is a live signal that is attached to Signal#01.

  MinMaxUncertainty

• Display name: MinMaxUncertainty
• Parent class: SignalUncertainty
• Description: The uncertainty is represented by a uniform probability distribution between a Min and a Max value.
• Examples: dwis Signal#01 Signal#02 DrillingDataPoint:ddp#01 MinMaxUncertainty:GU#01 ddp#01 HasUncertainty GU#01 DrillingDataPoint:Min#01 DrillingDataPoint:Max#01 GU#01 HasUncertaintyMin Min#01 GU#01 HasUncertaintyMax Max#01 DynamicDrillingSignal:Signal#01 DynamicDrillingSignal:Signal#02 Min#01 HasDynamicValue Signal#01 Max#01 HasDynamicValue Signal#02 In this example, ddp#01 is a DrillingDataPoint that has an uncertainty GU#01, which is a uniform probability distribution that is described by a Min value called Min#01 and a Max value called Max#01. Min#01 is a live signal that is attached to Signal#01. Similarly Max#01 is a live signal attached to Signal#02.

  FullScaleUncertainty

• Display name: FullScaleUncertainty
• Parent class: GaussianUncertainty
• Attributes:
  • FullScale
    • Type: double

    • Description: The total range of measurement of the signal, i.e., $\left

      max - min \right

      $. The value is expected to be in the same physical quantity as the sensor value.

  • ProportionError
    • Type: double
    • Description: The proportion error on the signal. The value is expected to be a dimensionless physical quantity between 0 and 1 in SI unit. This proportion is applied to the Fullscale to obtain the standard deviation of the Gaussian probability distribution that describes the uncertainty of the signal. The mean value of that Gaussian distribution is the signal value.
• Description: The uncertainty on the signal is described as a Gaussian distribution with a standard deviation that is calculated using a proportion of the maximum range of the signal. The Fullscale or ProportionError can either be defined as attribute values, for example when they have fixed values, or using facts utilizing the verbs HasFullScale or repectively HasProportionError when these values may change through time.
• Examples: dwis Signal#01 Signal#02 DrillingDataPoint:ddp#01 FullScaleUncertainty:GU#01 ddp#01 HasUncertainty GU#01 DrillingDataPoint:FullScale#01 DrillingDataPoint:ErrProp#01 GU#01 HasFullScale FullScale#01 GU#01 HasProportionError ErrProp#01 DrillingSignal:Signal#01 DrillingSignal:Signal#02 FullScale#01 HasStaticValue Signal#01 ErrProp#01 HasStaticValue Signal#02 In this example, ddp#01 is a DrillingDataPoint that has an uncertainty GU#01, which is representing a sensor having a Gaussian probability distibution that is described using a ProportionError (called ErrProp#01) of a FullScale value called FullScale#01. FullScale#01 is a static signal that is attached to Signal#01. Similarly ErrProp#01 is a static signal attached to Signal#02.

  SensorUncertainty

• Display name: SensorUncertainty
• Parent class: GaussianUncertainty
• Attributes:
  • Accuracy
    • Type: double
    • Description: The standard deviation of the systematic bias component of the uncertainty of the sensor. The assumed mean value of the attached Gaussian distribution is the measured value. The value is expected to be in the same physical quantity as the sensor value.
  • Precision
    • Type: double
    • Description: The standard deviation of the repetitive error component of the uncertainty of the sensor. The assumed mean value of the attached Gaussian distribution is the measured value. The value is expected to be in the same physical quantity as the sensor value.
• Description: The uncertainty of the sensor is described by a systematic bias and repetitive error. The systematic bias is referred to as the Accuracy while the repetitive error is referred to as the Precision. The standard deviation of the overall Gaussian distribution is $\sqrt{\sigma^2{_a}+\sigma^2{_p}}$ where $\sigma_a$ is the accuracy and $\sigma_p$ is the precision. The Accuracy or the Precision can either be defined as attribute values, for example when they have fixed values, or using another facts utilizing the verbs HasAccuracy or respectively HasPrecision when these values may change through time.
• Examples: dwis Signal#01 Signal#02 DrillingDataPoint:ddp#01 SensorUncertainty:GU#01 ddp#01 HasUncertainty GU#01 DrillingDataPoint:Acc#01 DrillingDataPoint:Prec#01 GU#01 HasUncertaintyAccuracy Acc#01 GU#01 HasUncertaintyPrecision Prec#01 DrillingSignal:Signal#01 DrillingSignal:Signal#02 Acc#01 HasStaticValue Signal#01 Prec#01 HasStaticValue Signal#02 In this example, ddp#01 is a DrillingDataPoint that has an uncertainty GU#01, which is representing a sensor having a Gaussian probability distibution that is described using an Accuracy (called Acc#01) and a Precision called Prec#01. Acc#01 is a static signal that is attached to Signal#01. Similarly Prec#01 is a static signal attached to Signal#02.

  VERBS

  HasUncertainty

• Display name: HasUncertainty
• Parent verb: DWISVerb
• Subject class: DrillingDataPoint
• Object class: SignalUncertainty
• Description: This verb allows to associate a SignalUncertainty to a DrillingDataPoint.
• Examples: dwis Signal#01 Signal#02 DrillingDataPoint:ddp#01 GaussianUncertainty:GU#01 ddp#01 HasUncertainty GU#01 DrillingDataPoint:Mean#01 DrillingDataPoint:StdDev#01 GU#01 HasUncertaintyMean Mean#01 GU#01 HasUncertaintyStandardDeviation StdDev#01 DynamicDrillingSignal:Signal#01 DynamicDrillingSignal:Signal#02 Mean#01 HasDynamicValue Signal#01 StdDev#01 HasDynamicValue Signal#02

  HasUncertaintyAccuracy

• Display name: HasUncertaintyAccuracy
• Parent verb: DWISVerb
• Subject class: SensorUncertainty
• Object class: DrillingDataPoint
• Description: This verb allows to associate a DrillingDataPoint as the Accuracy of a SensorUncertainty
• Examples: dwis Signal#01 Signal#02 DrillingDataPoint:ddp#01 SensorUncertainty:GU#01 ddp#01 HasUncertainty GU#01 DrillingDataPoint:Acc#01 DrillingDataPoint:Prec#01 GU#01 HasUncertaintyAccuracy Acc#01 GU#01 HasUncertaintyPrecision Prec#01 DrillingSignal:Signal#01 DrillingSignal:Signal#02 Acc#01 HasStaticValue Signal#01 Prec#01 HasStaticValue Signal#02 In this example, ddp#01 is a DrillingDataPoint that has an uncertainty GU#01, which is representing a sensor having a Gaussian probability distibution that is described using an Accuracy (called Acc#01) and a Precision called Prec#01. Acc#01 is a static signal that is attached to Signal#01. Similarly Prec#01 is a static signal attached to Signal#02.

  HasUncertaintyPrecision

• Display name: HasUncertaintyPrecision
• Parent verb: DWISVerb
• Subject class: SensorUncertainty
• Object class: DrillingDataPoint
• Description: This verb is used to associate a DrillingDataPoint as the Precision of a SensorUncertainty
• Examples: dwis Signal#01 Signal#02 DrillingDataPoint:ddp#01 SensorUncertainty:GU#01 ddp#01 HasUncertainty GU#01 DrillingDataPoint:Acc#01 DrillingDataPoint:Prec#01 GU#01 HasUncertaintyAccuracy Acc#01 GU#01 HasUncertaintyPrecision Prec#01 DrillingSignal:Signal#01 DrillingSignal:Signal#02 Acc#01 HasStaticValue Signal#01 Prec#01 HasStaticValue Signal#02 In this example, ddp#01 is a DrillingDataPoint that has an uncertainty GU#01, which is representing a sensor having a Gaussian probability distibution that is described using an Accuracy (called Acc#01) and a Precision called Prec#01. Acc#01 is a static signal that is attached to Signal#01. Similarly Prec#01 is a static signal attached to Signal#02.

  HasUncertaintyMin

• Display name: HasUncertaintyMin
• Parent verb: DWISVerb
• Subject class: MinMaxUncertainty
• Object class: DrillingDataPoint
• Description: This verb is used to associate a DrillingDataPoint as the Min value of MinMaxUncertainty
• Examples: dwis Signal#01 Signal#02 DrillingDataPoint:ddp#01 MinMaxUncertainty:GU#01 ddp#01 HasUncertainty GU#01 DrillingDataPoint:Min#01 DrillingDataPoint:Max#01 GU#01 HasUncertaintyMin Min#01 GU#01 HasUncertaintyMax Max#01 DynamicDrillingSignal:Signal#01 DynamicDrillingSignal:Signal#02 Min#01 HasDynamicValue Signal#01 Max#01 HasDynamicValue Signal#02 In this example, ddp#01 is a DrillingDataPoint that has an uncertainty GU#01, which is a uniform probability distribution that is described by a Min value called Min#01 and a Max value called Max#01. Min#01 is a live signal that is attached to Signal#01. Similarly Max#01 is a live signal attached to Signal#02.

  HasUncertaintyMax

• Display name: HasUncertaintyMax
• Parent verb: DWISVerb
• Subject class: MinMaxUncertainty
• Object class: DrillingDataPoint
• Description: This verb is used to associate a DrillingDataPoint as the Max value of a MinMaxUncertainty
• Examples: dwis Signal#01 Signal#02 DrillingDataPoint:ddp#01 MinMaxUncertainty:GU#01 ddp#01 HasUncertainty GU#01 DrillingDataPoint:Min#01 DrillingDataPoint:Max#01 GU#01 HasUncertaintyMin Min#01 GU#01 HasUncertaintyMax Max#01 DynamicDrillingSignal:Signal#01 DynamicDrillingSignal:Signal#02 Min#01 HasDynamicValue Signal#01 Max#01 HasDynamicValue Signal#02 In this example, ddp#01 is a DrillingDataPoint that has an uncertainty GU#01, which is a uniform probability distribution that is described by a Min value called Min#01 and a Max value called Max#01. Min#01 is a live signal that is attached to Signal#01. Similarly Max#01 is a live signal attached to Signal#02.

  HasUncertaintyMean

• Display name: HasUncertaintyMean
• Parent verb: DWISVerb
• Subject class: GaussianUncertainty
• Object class: DrillingDataPoint
• Description: This verb is used to associate a DrillingDataPoint as the Mean value of a GaussianUncertainty
• Examples: dwis Signal#01 Signal#02 DrillingDataPoint:ddp#01 GaussianUncertainty:GU#01 ddp#01 HasUncertainty GU#01 DrillingDataPoint:Mean#01 DrillingDataPoint:StdDev#01 GU#01 HasUncertaintyMean Mean#01 GU#01 HasUncertaintyStandardDeviation StdDev#01 DynamicDrillingSignal:Signal#01 DynamicDrillingSignal:Signal#02 Mean#01 HasDynamicValue Signal#01 StdDev#01 HasDynamicValue Signal#02

  HasUncertaintyStandardDeviation

• Display name: HasUncertaintyStandardDeviation
• Parent verb: DWISVerb
• Subject class: GaussianUncertainty
• Object class: DrillingDataPoint
• Description: This verb is used to associate a DrillingDataPoint as the StandardDeviation value of a GaussianUncertainty
• Examples: dwis Signal#01 Signal#02 DrillingDataPoint:ddp#01 GaussianUncertainty:GU#01 ddp#01 HasUncertainty GU#01 DrillingDataPoint:Mean#01 DrillingDataPoint:StdDev#01 GU#01 HasUncertaintyMean Mean#01 GU#01 HasUncertaintyStandardDeviation StdDev#01 DynamicDrillingSignal:Signal#01 DynamicDrillingSignal:Signal#02 Mean#01 HasDynamicValue Signal#01 StdDev#01 HasDynamicValue Signal#02

  HasProportionError

• Display name: HasProportionError
• Parent verb: DWISVerb
• Subject class: FullScaleUncertainty
• Object class: DrillingDataPoint
• Description: This verb is used to associate a DrillingDataPoint as the ProportionError value of a FullScaleUncertainty
• Examples: dwis Signal#01 Signal#02 DrillingDataPoint:ddp#01 FullScaleUncertainty:GU#01 ddp#01 HasUncertainty GU#01 DrillingDataPoint:FullScale#01 DrillingDataPoint:ErrProp#01 GU#01 HasFullScale FullScale#01 GU#01 HasProportionError ErrProp#01 DrillingSignal:Signal#01 DrillingSignal:Signal#02 FullScale#01 HasStaticValue Signal#01 ErrProp#01 HasStaticValue Signal#02 In this example, ddp#01 is a DrillingDataPoint that has an uncertainty GU#01, which is representing a sensor having a Gaussian probability distibution that is described using a ProportionError (called ErrProp#01) of a FullScale value called FullScale#01. FullScale#01 is a static signal that is attached to Signal#01. Similarly ErrProp#01 is a static signal attached to Signal#02.

  HasFullScale

• Display name: HasFullScale
• Parent verb: DWISVerb
• Subject class: FullScaleUncertainty
• Object class: DrillingDataPoint
• Description: This verb is used to associate a DrillingDataPoint as the FullScale value of a FullScaleUncertainty
• Examples: dwis Signal#01 Signal#02 DrillingDataPoint:ddp#01 FullScaleUncertainty:GU#01 ddp#01 HasUncertainty GU#01 DrillingDataPoint:FullScale#01 DrillingDataPoint:ErrProp#01 GU#01 HasFullScale FullScale#01 GU#01 HasProportionError ErrProp#01 DrillingSignal:Signal#01 DrillingSignal:Signal#02 FullScale#01 HasStaticValue Signal#01 ErrProp#01 HasStaticValue Signal#02 In this example, ddp#01 is a DrillingDataPoint that has an uncertainty GU#01, which is representing a sensor having a Gaussian probability distibution that is described using a ProportionError (called ErrProp#01) of a FullScale value called FullScale#01. FullScale#01 is a static signal that is attached to Signal#01. Similarly ErrProp#01 is a static signal attached to Signal#02.

  HasUncertaintyHistogram

• Display name: HasUncertaintyHistogram
• Parent verb: DWISVerb
• Subject class: GenericUncertainty
• Object class: DrillingDataPoint
• Description: This verb is used to associated a DrillingDataPoint as the Histogram value of a GenericUncertainty
• Examples: dwis Signal#01 DrillingDataPoint:ddp#01 GenericUncertainty:GU#01 ddp#01 HasUncertainty GU#01 DrillingDataPoint:Histo#01 GU#01 HasUncertaintyHistogram Histo#01 DynamicDrillingSignal:Signal#01 Histo#01 HasDynamicValue Signal#01 In this example, ddp#01 is a DrillingDataPoint that has an uncertainty GU#01, which is a general probability distribution that is described by a histogram called Histo#01. Histo#01 is a live signal that is attached to Signal#01.

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