Gas measurement systems based on IEEE1451.2 standard

2006 ◽  
Vol 116 (1-2) ◽  
pp. 11-16 ◽  
Author(s):  
Antonio Pardo ◽  
Lourdes Cámara ◽  
Joan Cabré ◽  
Alexandre Perera ◽  
Xavier Cano ◽  
...  
Keyword(s):  
Measurement Systems ◽  
Gas Measurement

scholarly journals I4.4 - Preconcentrator Module for the Implementation in Optical Gas Measurement Systems

2009 ◽  
Author(s):  
Juergen Hildenbrand ◽  
Andre Eberhardt ◽  
Carolin Peter ◽  
Juergen Woellenstein ◽  
Jan Korvink
Keyword(s):  
Measurement Systems ◽  
Gas Measurement

Tracer Gas Measurement Systems Compared in a Multifamily Building

2009 ◽  
pp. 5-5-16 ◽  
Author(s):  
DT Harrje ◽  
RN Dietz ◽  
M Sherman ◽  
DL Bohac ◽  
TW D'Ottavio ◽  
...  
Keyword(s):  
Tracer Gas ◽  
Measurement Systems ◽  
Gas Measurement

Human intestinal gas measurement systems: in vitro fermentation and gas capsules

2015 ◽  
Vol 33 (4) ◽  
pp. 208-213 ◽  
Author(s):  
Jian Zhen Ou ◽  
C.K. Yao ◽  
Asaf Rotbart ◽  
Jane G. Muir ◽  
Peter R. Gibson ◽  
...  
Keyword(s):  
In Vitro Fermentation ◽  
Measurement Systems ◽  
Intestinal Gas ◽  
Gas Measurement

scholarly journals Retrograde extrapolation of VO2max from recovery values recorded breath by breath (Extrapolación retrógrada del VO2max a partir de valores de recuperación recogidos respiración a respiración)

Retos ◽  
2021 ◽  
Vol 41 ◽  
pp. 695-700
Author(s):  
Jose Naranjo Orellana ◽  
Sergio Muela Galán
Keyword(s):  
Field Tests ◽  
Stress Tests ◽  
Measurement Systems ◽  
System A ◽  
Maximal Stress ◽  
Gas Measurement ◽  
Gas Measurements ◽  
Sporting Activities ◽  
Predicted Values ◽  
Male Subjects

The aim of this study was to assess the validity of VO2max prediction using retrograde extrapolation in a breath-by-breath (BxB) gas measurement system. A retrospective study was performed, analysing 31 incremental and maximal stress tests carried out in our laboratory, corresponding to male subjects who practised different sporting activities (age: 29.9 ± 14.45 years; height: 174.4 ± 6.5 cm; weight: 71.4 ± 7.2 kg). A linear regression of the first minute of recovery was used to obtain extrapolated VO2max data and, subsequently, a correction equation was applied that provided predicted VO2max values. Given the variability of data in BxB measurement systems, extrapolated values can be expected to vary significantly from those actually measured, but differences disappeared in the predicted values, which were almost identical to those measured. This method enables stress tests to be performed without having to record gas measurements until the end. It could be useful for the validation of specific field tests, measuring VO2 trackside after the test, during recovery. Resumen. El objetivo de este estudio fue evaluar la validez de la predicción del VO2máx mediante la extrapolación retrógrada en un sistema de medición de gases respiración a respiración (BxB). Se realizó un estudio retrospectivo, analizando 31 pruebas de esfuerzo incrementales y máximas realizadas en nuestro laboratorio, correspondientes a sujetos masculinos que practicaban diferentes actividades deportivas (edad: 29,9 ± 14,45 años; talla: 174,4 ± 6,5 cm; peso: 71,4 ± 7,2 kg). Se utilizó una regresión lineal del primer minuto de recuperación para obtener datos de VO2max extrapolados y, posteriormente, se aplicó una ecuación de corrección que proporcionó valores de VO2max predichos. Dada la variabilidad de los datos en los sistemas de medición BxB, se puede esperar que los valores extrapolados varíen significativamente de los realmente medidos, pero las diferencias desaparecieron en los valores predichos, que eran casi idénticos a los medidos. Este método permite realizar pruebas de esfuerzo sin tener que registrar mediciones de gas hasta el final. Podría ser útil para la validación de pruebas de campo específicas, midiendo el VO2 a pie de campo después de la prueba, durante la recuperación.

Tutorial: Maximizing Value From Mudlogs–Integrated Approach to Determine Net Pay

2021 ◽  
Vol 62 (1) ◽  
pp. 4-15
Author(s):  
Mayank Malik ◽  
◽  
Scott A. Hanson ◽  
Simon Clinch ◽  
◽  
...  
Keyword(s):  
Low Cost ◽  
Integrated Approach ◽  
Business Environment ◽  
Cost Information ◽  
Measurement Systems ◽  
Gas Measurement ◽  
Drilling Operations ◽  
Bulk Volume ◽  
Wireline Logs ◽  
Gas Volume

In the current business environment, operators are increasingly striving to reduce logging expenses when possible while maintaining safety of the drilling operations. Mudlogging has been remarkably successful through the oil industry downturn due to the value of information derived from the analysis as well as the relatively low cost. Information about the lithology and fluid content of the borehole during drilling is important for drilling optimization and qualitative petrophysical assessment. This tutorial takes mudlogs a step further to quantify net pay and estimate reserves in low-permeability reservoirs where traditional log analysis is challenging. Methods will be described for estimating gas-in-mud based on characterized gas measurement systems and obtaining bulk volume of gas per volume of rock drilled. Corrections are discussed for mud gas systems based on their mechanical operating parameters of mud flow into the gas extractor, gas sample suction rate out of the gas extractor, recirculated gas, and estimated gas extraction efficiencies. Applying these corrections yields normalized bulk gas volume and gas-oil ratio (GOR), which is calibrated with the petrophysical assessment from wireline logs and PVT samples. Finally, correlations between bulk hydrocarbon volume and permeability are used to estimate volumetrics. Case studies presented show that the calibrated mudlogs can be used for quantitative assessment of bulk volume of hydrocarbons in high-angle/horizontal wells where conveying wireline logs might be challenging. Pay flags computed from the mudlog interpretation can be used to guide completion decisions. Additionally, GOR estimates derived from mudlogs can be used for fluid typing and optimizing the fluid sampling program in deepwater development wells. Results presented clearly show that mudlogs can provide continuous, real-time, and quantitative petrophysical assessments.

Food Safety Security: A new Concept for Enhancing Food Safety Measures

2012 ◽  
Vol 82 (3) ◽  
pp. 216-222 ◽  
Author(s):  
Venkatesh Iyengar ◽  
Ibrahim Elmadfa
Keyword(s):  
Food Safety ◽  
Hazard Analysis ◽  
Warning System ◽  
Shared Responsibility ◽  
Fine Tuning ◽  
Strategic Action ◽  
Surveillance Network ◽  
Measurement Systems ◽  
Critical Control Points ◽  
The Impact

The food safety security (FSS) concept is perceived as an early warning system for minimizing food safety (FS) breaches, and it functions in conjunction with existing FS measures. Essentially, the function of FS and FSS measures can be visualized in two parts: (i) the FS preventive measures as actions taken at the stem level, and (ii) the FSS interventions as actions taken at the root level, to enhance the impact of the implemented safety steps. In practice, along with FS, FSS also draws its support from (i) legislative directives and regulatory measures for enforcing verifiable, timely, and effective compliance; (ii) measurement systems in place for sustained quality assurance; and (iii) shared responsibility to ensure cohesion among all the stakeholders namely, policy makers, regulators, food producers, processors and distributors, and consumers. However, the functional framework of FSS differs from that of FS by way of: (i) retooling the vulnerable segments of the preventive features of existing FS measures; (ii) fine-tuning response systems to efficiently preempt the FS breaches; (iii) building a long-term nutrient and toxicant surveillance network based on validated measurement systems functioning in real time; (iv) focusing on crisp, clear, and correct communication that resonates among all the stakeholders; and (v) developing inter-disciplinary human resources to meet ever-increasing FS challenges. Important determinants of FSS include: (i) strengthening international dialogue for refining regulatory reforms and addressing emerging risks; (ii) developing innovative and strategic action points for intervention {in addition to Hazard Analysis and Critical Control Points (HACCP) procedures]; and (iii) introducing additional science-based tools such as metrology-based measurement systems.

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