Systems, devices, and techniques for determining downhole fluid contamination are disclosed. In one or more embodiments, phase-related properties are measured for a reservoir fluid having a determined composition. An equation-of-state (EOS) is selected and/or tuned based, at least in part, on the measured phase-related properties and the tuned EOS is applied to estimate fluid property values for a reference fluid over specified ranges of at least two thermodynamic properties. Contaminant reference data are generated that correlate the estimated fluid property values for the reference fluid with respective contaminant levels. Within a wellbore, a fluid sample is analyzed to determine a fluid property value. A contaminant level is identified that corresponds within the contaminant reference data to the determined fluid property value of the fluid sample.

A system may include a processing device and a memory device that includes instructions to receive real-time data including wellhead pressure, a new sand measurement, and a new erosion rate for a wellbore. A model including an available reference sand rate for the wellbore based on the wellhead pressure and at least one of the new sand measurement or the new erosion rate of the wellbore may be calibrated. The model may be applied to determine a calibrated sand rate is within a pre-determined threshold. A new sand production rate for the wellbore based on the model may be determined.

A method of determining one or more fuel characteristics of an aviation fuel for powering a gas turbine engine of an aircraft includes: measuring one or more trace substance parameters of the fuel, the one or more trace substance parameters each associated with a respective trace substance in the fuel; and determining one or more fuel characteristics of the fuel based on the one or more trace substance parameters. Further, a fuel characteristic determination system, a method of operating an aircraft, and an aircraft.

Disclosed herein are methods to determine the equivalent alkane carbon number (EACN) of a composition comprising an oil.

A method for calibrating a contaminant detection device includes fluidly connecting the contaminant detection device in series to a test reservoir and a light-obscuration-type particle counter, pumping low-end, intermediate, and high-end test dust dilutions through the contaminant detection device and the particle counter until a particle count measured by the particle counter for each of the successive test dust dilutions stabilizes, and setting a low-end gain, an intermediate gain, and a high-end gain for the contaminant detection device based on the stabilized particle counts for each of the test dust dilutions using a first-sized test dust grade. A bubble counting gain of an aeration threshold for the device may be set according to a second test dust grade greater in size than the first-sized test dust grade, and associated with a voltage signal produced by the contaminate detection device indicative of the presence of an air bubble contained within the fluid during use of the fluid in heavy machinery.

A method of preventing improper mixing of additives in a refueling storage tank includes receiving, by a computing device, data related to an additive introduced to the refueling storage tank from a sensor positioned in the refueling storage tank. The additive introduced to the refueling tank is determined, by the computing device, based on the data received from the sensor. An output is provided, by the computing device, when the determined additive does not match a predetermined additive for the refueling storage tank. Devices and systems for preventing improper mixing of additives in a refueling storage tank are also disclosed.

Systems and methods are provided for determining an asphaltene solubility distribution for a petroleum sample and/or other hydrocarbon sample. A vessel for performing the method can include both packing material(s) and sidewall(s) that correspond to substantially inert materials. The vessel can initially contain a precipitating solvent suitable for causing precipitation of asphaltenes from a hydrocarbon sample. Examples of a precipitating solvents can correspond to n-heptane, toluene, and mixtures of n-heptane and toluene. The petroleum sample is then introduced into the vessel, along with a carrier solvent. The volume of the precipitating solvent can be large relative to the sample, so that the solubility of asphaltenes in the sample becomes dependent on the properties of the precipitating solvent. If asphaltenes are precipitated, the asphaltenes can be washed out of the column using a dissolution solvent. The asphaltenes washed out using the dissolution solvent can then be characterized to determine a total asphaltene content.

A wellhead system includes a wellhead, a fluid line extending from the wellhead, a branch line fluidly connected to the fluid line at an inlet and at an outlet, an ejector device arranged on the branch line, a tank fluidly connected by a tank fluid line to the ejector device, and a pressure control valve arranged on the branch line upstream of the ejector device. The ejector device is configured to produce a mixture that includes the fluid from the wellhead flowing in the branch fluid line with a chemical flowing the tank fluid line. The ejector device is also configured to discharge the mixture downstream of the ejector device. The pressure control valve is configured to control the flow of a fluid entering the ejector device.

Described herein is a system for detecting microbial contamination in a liquid storage container, such as a fuel storage tank or a water storage tank. The system can include one or more impedance sensor arrays positioned within the fuel storage container and a computer system coupled to the impedance sensor arrays. The computer system configured to detect microbial growth within the fuel storage container based on changes in impedance across the impedance sensor array. The system can be embodied as a standalone system or can be incorporated into the fuel tank's existing systems.

An analytical data analysis system (2) is a system that identifies composition substances contained in the sample to be analyzed and non-composition substances that are not the composition substance contained in the sample to be analyzed by comparing a standard chromatogram and an analysis target chromatogram. The analytical data analysis system (2) includes a non-composition substance information holding part (12) holding identification information and information on a peak expression position on a chromatogram of substances that may exist as the non-composition substance, a chromatogram synthesis part (16) configured to synthesize the information held in the non-composition substance information holding part with the standard chromatogram in order to describe identification information and the peak expression position of the substances that may exist as the non-composition substance on the standard chromatogram in which the composition substances of the standard sample are described, and a chromatogram display part (18) configured to display the analysis target chromatogram together with the standard chromatogram synthesized by the chromatogram synthesis part (16) on the display device (6).