· 1. Introduction. Gas mass-flow meters (GMFM) are used on the metrology of gas flow. Most of the GMFM are manufactured using micromachining technology integrating electronics and mechanics (see ).The measurement principle of GMFM as a thermal flow sensor is based on the fact that the output voltage of the sensor element is related to the rate of heat transfer between the sensor and the gas.
The SENSOR Remote Well Monitoring and Control System has a flexible design to provide a multitude of options using off-the-shelf components. Data can be collected wirelessly using communication protocols such as HART® and Modbus into a central control panel that is SENSOR manufactured using “plug-and-play” devices. Systems can be designed for monitoring and controlling the wellhead ...
· In simple terms, measurement uncertainty as stated in a datasheet is taken as the range of the 95 closest measurements to the average (mean) of 100 measurements. So if the 95 measurements fall into a range of plus °C and minus - °C away from the 100 measurement mean, than the sensor uncertainty as written in the data sheet will be ±0 ...
Uncertainty in Gas Turbine Measurements, [6], was reproduced by the Instrument Society of America in 1980 with slight revisions as the ISA Measurement Uncertainty Handbook [7] and was widely distributed and used for ISA Short Courses by Bob Abernethy and Ron Dieck.
· The productivity of shale gas well is often with high uncertainty because of the uncertainties in the characterization of formation properties, fracture properties, gas adsorption, and flow mechanisms. This paper provides an efficient method to probabilistically forecast shale gas production by combining the Markov chain Monte Carlo method (MCMC) and a semi-analytical model.
Accuracy is determined by performing a general expanded uncertainty analysis, where all of the systematic and random uncertainties are combined using ISO uncertainty standards. For each of the examples above, we must assume that a large sample size was used, and that the sensors used were chosen at random. As an example, sensor specifications ...
For well behaved systems, random errors in a measurement cause a cluster of observed values. We will assume that random errors are normally distributed. This is reasonable for large sample sizes and truly random errors mÐ 2 s m m+2s percent of all observations fall within ± 2s percent percent A large sample (say, 30 or more observations) of the system at the same operating ...
DOI: / Corpus ID: 54462422. Sensor Uncertainty Mitigation and Dynamic Well Clear Volumes in DAIDALUS @article{Narkawicz2018SensorUM, title={Sensor Uncertainty Mitigation and Dynamic Well Clear Volumes in DAIDALUS}, author={Anthony Narkawicz and C. Mu{\~n}oz and Aaron Dutle}, journal={2018 IEEE/AIAA 37th Digital Avionics Systems Conference …
· In this chapter, we present a way to statistically optimize sensor systems, to reduce systematical as well as random deviations. This is achieved by defining design parameters and calibration methods using statistical optimization. We further demonstrate the use of this method on a practical use-case example, including the application of an uncertainty calculation toolbox, …
Gas Measurement (NFOGM), together with Christian Michelsen Research (CMR), felt that a user-friendly handbook together with a spreadsheet based upon the principles laid down in the Guide would satisfy the need for a modern method of uncertainty estimation in the field of oil and gas measurement. First revision was published in 1999.
· This Living Well with Uncertainty Forum, the third in a series of Zoom forums, focuses on the implications of the coronavirus pandemic. Philosopher Laura Gr...
This paper reports on the integration into DAIDALUS of two new capabilities, namely dynamic well clear volumes and sensor uncertainty mitigation. This paper presents recent updates to DAIDALUS (Detect & Avoid Alerting Logic for Unmanned Systems), a detect and avoid (DAA) software package for the integration of civil UAS into the airspace. DAIDALUS is the reference implementation of detect and ...
· Metal oxide semiconductor (MOS) gas sensor array dynamic measurement uncertainty evaluation, which currently mainly uses static measurement approximation estimations, cannot accurately distinguish the measured value of the sudden change of the measured value caused by the dynamic mutation of the measured gas or the actual sensor array local fault caused by the sudden …
Absolute sensors used in gauge mode have higher uncertainty, but this only affects the two lowest absolute ranges. BRM600-BA100K barometric modules have a lower uncertainty based on a large population study of recalibrated BA100K barometers. The PM600-A20M is specified as standard class, not standard mid as in [1]. Since the differences are minimal for PM600 modules and Q-RPT standard …
Sensor Uncertainty Mitigation and Dynamic Well Clear Volumes in DAIDALUS This paper presents recent updates to DAIDALUS (Detect & Avoid Alerting Logic for Unmanned Systems), a detect and avoid (DAA) software package for the integration of civil UAS into the airspace. DAIDALUS is the reference implementation of detect and avoid for unmanned aircraft systems chosen by RTCA Special …
· Adding the known uncertainties in the fixed points, the SPRT measurement system, and the transfer standards and technology yields a total known uncertainty of ±580 micro degrees C. Repeatability of a typical Sea-Bird production sensor is shown. The sensors have typical drift rates of better than degrees C in 3 months.
· In addition to the difficulties inherent in oil and gas well, intelligent well technology has its own unique problems: The underground working environment features high temperature, high pressure, corrosion, electromagnetic interference, etc., posing higher requirements for the sensors and actuators placed underground. And again, the components of domestic intelligent well technology are ...
Download Citation | Gas Sensor Array Dynamic Measurement Uncertainty Evaluation and Optimization Algorithm | Metal oxide semiconductor (MOS) gas sensor array dynamic measurement uncertainty ...
Uncertainty in flow gas measurement systems with ultrasonic meters _____ _____ Page 2/25 the final value. After the calculation of the uncertainty of the measured volume, the uncertainty is then analyzed over the invoiced amount corresponding to the volume, which includes other sources of uncertainty, such as tariff calculation.
· Sensor Uncertainty Mitigation and Dynamic Well Clear Volumes in DAIDALUS Abstract: This paper presents recent updates to DAIDALUS (Detect & Avoid Alerting Logic for Unmanned Systems), a detect and avoid (DAA) software package for the integration of civil UAS into the airspace.
Gas Sensors. With more than 300 products detecting 28 different gases, we offer the widest range of gas sensors in the market today. Our sensors are available in variety of formats to satisfy the precise requirements of specific applications. City Technology provides critical gas sensing solutions wherever safety is paramount.
This tutorial focuses on measurement uncertainty estimation in amperometric sensors (both for liquid and gas-phase measurements). The main uncertainty sources are reviewed and their contributions are discussed with relation to the principles of operation of the sensors, measurement conditions and properties of the measured samples. The discussion is illustrated by case studies based on the two ...
ed gas, Sec. describes the procedures that minimize the uncertainty of the mass change in the inventory vol-ume, and Sec. describes the determination of the tank and inventory volumes. Average Temperature of the Collected Gas One of the most important sources of uncertainty in a PVTt flow standard is the measurement of the average
The uncertainty of a measurement is not defined solely by the instrument of measurement, such as a sensor. As such, there is no complete answer to this question that Vernier can provide. Experimental uncertainty is influenced by multiple factors, including elements having little to do with the sensor, such as the experimental design.
Professional gas sensing solution supplier with over 30-year gas sensor manufacturing experience
Contact Us