The invention concerns a method for measuring the concentration of a substance or mixture of substances and/or determining the level in a fluid with intrinsic fluorescence, preferably fuel systems. The invention also refers to the optical device suitable for implementing the method, which comprises a unit which generates light for excitation of the sample; a unit of detection of the signal emitted by the sample and a unit of signal processing. The device and method by which it is implemented also allow the determination of the spatial distribution of the substance or mixture of liquid substances and/or the fluid level in a container. One of the main applications is the measurement of the concentration of oxygen in the fuel tank of aircrafts, based on the measurement of the intrinsic fluorescence of the fuel.

The present invention relates to a powdered simulant composition of an explosive compound having an Z.sub.eff, between 6.5 and 7.5 and a and the use thereof.

A method of detecting at least one contaminant in a flow of a liquid fuel includes measuring one or more parameters of a flow of the liquid fuel. Based on the measured one or more parameters, one or more properties of the liquid fuel are determined. A plurality of features are from selected ones of the one or more parameters and one or more properties. A trained classification model is applied on the extracted features to determine a type and a quantity of at least one contaminant in the liquid fuel.

A method of detecting at least one contaminant in a flow of a liquid fuel includes measuring one or more parameters of a flow of the liquid fuel. Based on the measured one or more parameters, one or more properties of the liquid fuel are determined. A plurality of features are from selected ones of the one or more parameters and one or more properties. A trained classification model is applied on the extracted features to determine a type and a quantity of at least one contaminant in the liquid fuel.

A method is provided for estimating at least one combustion characteristic of a fuel gas belonging to a family of fuel gases, where the at least one characteristic includes at least one of a Wobbe index or a higher heating value. The method includes measuring at least two flow properties of the fuel gas and measuring a dihydrogen content X.sub.H.sub.2 contained in the fuel gas. The method also includes estimating the at least one characteristic ${\Xi }_{\frac{\mathrm{GN}}{H2}}$
using an empirical affine relationship of ${\Xi }_{\frac{\mathrm{GN}}{H2}}=\alpha +\beta .Math.Y+\gamma .Math.X_{H_2}.$
Here, α, β, and γ are coefficients predetermined for the family of fuel gases, and Y is a variable representative of physical properties of the fuel gas prepared from the measurements of the at least two flow properties of the fuel gas.

A gas leak detection system that combines sensor units having an array of sensors that detect natural gas and the volatile organic compounds and variable atmospheric conditions that confound existing gas leak detection methods, a specially designed sensor housing that limits the variability of those atmospheric conditions, and a machine learning-enabled process that uses the wide array of sensor data to differentiate between natural gas leaks and other confounding factors. Multiple low-cost sensor units can be used to monitor gas concentrations at multiple locations across a site (e.g., a well pad or other oil or natural gas facility), enabling the gas leak detection system to model gas leak emission rates in two- or three-dimensional space to reveal the most likely origin of the gas leak.

Systems and methods of the present disclosure generally relate to reporting carbon and hydrogen isotopic ratios during a wellbore operation. A method for detecting isotopic ratios during the wellbore operation, comprises receiving a fluid sample from a wellbore during the wellbore operation; passing the fluid sample to an analytical instrument operable to determine isotopic ratios in the fluid sample; outputting data comprising isotopic ratios for at least carbon and hydrogen; assigning a depth to the data; and transmitting the data based on isotopic ratios encountered during the wellbore operation.

A method for inferring energy content of a flow fluid in a gaseous state is disclosed. The method is carried out by a computer system (200) having a processor (210) and memory (220), the memory (220) having an inference module (204), the method comprising inferring, by the inference module (204), the inferred energy content of the flow fluid in the gaseous state from an inferential relationship between the inferred energy content of the flow fluid in the gaseous state with at least one measurement taken of the flow fluid in the liquid state.

A device for a flash point: determination and/or combustion point determination of a liquid sample which is receivable in a container and for a flame detection is described, comprising: a container reception for receiving the container; an infrared sensor which is arranged to detect light which is generated by a flame in a region around or within the container; an evaluation system which is coupled with the infrared sensor and is configured to evaluate infrared sensor data of the infrared sensor, to indicate a fire or a burn based on the evaluation.

A device for a flash point: determination and/or combustion point determination of a liquid sample which is receivable in a container and for a flame detection is described, comprising: a container reception for receiving the container; an infrared sensor which is arranged to detect light which is generated by a flame in a region around or within the container; an evaluation system which is coupled with the infrared sensor and is configured to evaluate infrared sensor data of the infrared sensor, to indicate a fire or a burn based on the evaluation.