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.

Systems and methods are described, and one method includes providing an optical fiber extending into a chamber with a volume of the gas; passing an optical beam, from an optical source, through the optical fiber; applying a spectral analysis to the optical beam as received after passing through the optical fiber, and outputting a corresponding spectral analysis signal; and determining, based on the output spectral analysis signal, whether a liquid is carried by the volume of the gas.

A method for determining an inferential relationship between an inferred energy content and at least one measured quantity is disclosed. The inferential relationship yields an inferred energy content. The method uses a computer (200) having a processor (210) configured to execute commands based on data stored in a memory (220), the processor (210) implementing steps of an inference module (204) stored in the memory (220), the method comprising a step of determining, by the inference module (204) the inferential relationship by analyzing a relationship between known measurements of at least one measured energy content of at least one fluid and at least one corresponding measured value of a same type as the at least one measured quantity wherein the inferential relationship has a density term (B), wherein one of the at least one measured quantity is a measured density (ρ) and the density term (B) has an inverse density (1/ρ), the density term (B) representing an inverse relationship between density (ρ) and the inferred energy content, and wherein the measured density (ρ) is not a density of air (ρ.sub.air).

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.

The present disclosure describes methods and systems for determining a flow of a combustible portion of vent gas delivered to an engine. The flow rate measurement may be performed by using the engine response to a relatively short (e.g. 1 to 5 s) interruption of the vent gas flow. A cross-correlation between RPM data of the engine and a reference signal corresponding to a state of a valve configured to interrupt the vent gas flow is determined, and a flow rate of the combustible portion of the vent gas delivered to the engine is determined from the maximum value of the cross-correlation.

A concentration measuring device includes a circulation passage, an aspirator, a differential pressure sensor, and a control unit. The aspirator is disposed in a fuel tank and is connected to the circulation passage. While a gas flows from a gaseous layer within a fuel tank through the circulation passage due to a negative pressure generated in the aspirator, the differential pressure sensor measures a pressure difference of the gas within the circulation passage between an upstream side of a narrowed part, having a narrower passage area than an adjacent portion of the circulation passage, and a downstream side of the narrowed part. The control unit is configured to calculate a density of the fuel vapor from the pressure difference of the gas and to calculate a concentration of the fuel vapor from the density of the fuel vapor.

Systems and methods to provide low carbon intensity (CI) transportation fuels through one or more targeted reductions of carbon emissions based upon an analysis of carbon emissions associated with a combination of various options for feedstock procurement, feedstock refining, processing, or transformation, and fuel product distribution pathways to end users. Such options are selected to maintain the total CI (carbon emissions per unit energy) of the transportation fuel below a pre-selected threshold that defines an upper limit of CI for the transportation fuel.

A method for determining properties of a hydrocarbon-containing gas mixture includes determining a thermal conductivity value, density measurement, viscosity measurement, and temperature and pressure. The method also includes determining a hydrogen content of the gas mixture on the basis of the thermal conductivity value and the temperature and pressure, determining a density measurement and associated temperature and pressure, and determining the mean molar mass or standard density on the basis of the density measurement and the temperature and pressure. The method further includes determining the mean molar mass or standard density of a hydrogen-free residual gas mixture based on the mean molar mass or standard density and the hydrogen fraction, determining the Wobbe index of the residual gas mixture based on the viscosity measurement and the temperature and pressure, and determining a calorific value based on the mean molar mass or standard density and the Wobbe index.

The disclosure concerns a sensor device for determining the thermal capacity of a natural gas. The sensor device comprises a substrate, a recess or opening arranged in the substrate, a first heating component and a first sensing component. The first heating component comprises a first heating structure and a temperature sensor and the first sensing component comprises a temperature sensor. The sensor device is configured to measure the thermal conductivity of the natural gas at a first measuring temperature and at a second measuring temperature. The sensor device is configured to determine a first, in particular a constant, and a second, in particular a linear temperature coefficient of a temperature dependency function of the thermal conductivity and to determine the thermal capacity of the natural gas based on a fitting function. The fitting function is dependent on the first and the second temperature coefficient.

Systems and methods to provide low carbon intensity (CI) transportation fuels through one or more targeted reductions of carbon emissions based upon an analysis of carbon emissions associated with a combination of various options for feedstock procurement, feedstock refining, processing, or transformation, and fuel product distribution pathways to end users. Such options are selected to maintain the total CI (carbon emissions per unit energy) of the transportation fuel below a pre-selected threshold that defines an upper limit of CI for the transportation fuel.