Patent classifications
G01N33/2876
Method and system for determining a quality of hydrocarbon fluid
The invention comprises a method and an analysing system for determining a quality of a hydrocarbon fluid. In an example, the electrical resistivity of the fluid is determined by means of a sensor device. The electrical resistivity is determined over time under predetermined conditions, and a change in the electrical resistivity is monitored over time. A change in fluid visocity may also be determined and monitored over time. The analysing system provides information about an absolute value of a difference of a total base number and a total acid number based on the monitored resistivity change that relates to the quality of the fluid for providing an indication of the remaining useful life of the fluid. In an example, the information about the fluid may correlate to oxidation and/or nitration of the fluid when a change in fluid visocity is below a predetermined threshold.
METHODS AND DEVICES FOR MONITORING MACHINE FLUIDS
A device for measuring fluid parameters may be modular or integrally formed. The device is positioned on a machine that includes one or more fluids to be monitored, and the device includes a (1) controller, (2) spacer that connects to a power source and that may include one or more connectors to connect to remote sensors, and (3) an optional manifold through which the fluid may pass. The manifold could include fluid sensors and/or be connectable to a sample bottle for the purpose of taking fluid samples.
METHODS AND DEVICES FOR MONITORING MACHINE FLUIDS
A device for measuring fluid parameters may be modular or integrally formed. The device is positioned on a machine that includes one or more fluids to be monitored, and the device includes a (1) controller, (2) spacer that connects to a power source and that may include one or more connectors to connect to remote sensors, and (3) an optional manifold through which the fluid may pass. The manifold could include fluid sensors and/or be connectable to a sample bottle for the purpose of taking fluid samples.
System and method to mitigate fouling during a hydrocarbon refining process
Described herein are systems and methods for evaluating and mitigating the fouling potential of a given crude oil. The system and methods enable the refiner to rapidly and readily identify the particular mechanisms by which a crude oil may foul, and to select the optimal chemical treatment and/or crude blend to mitigate fouling potential.
Removing contaminants from crude oil
A method comprises correlatingin a system which comprises a non-aqueous phase comprising a hydrocarbon fluid, and an aqueous phasepartitioning levels of a basic contaminant and/or an acid of interest into the aqueous phase with the pH of the aqueous phase. The partitioning levels of the basic contaminant and the acid of interest, as well as the pH of the aqueous phase, are obtained under conditions which are representative of those used in a partitioning process in which a basic contaminant is removed from a hydrocarbon fluid. The correlations may be used in a method for selecting an acidic environment for use in a partitioning process, for estimating corrosion risk downstream of a partitioning process, or for controlling a partitioning process.
Fluid analysis and monitoring using optical spectroscopy
Systems, methods, and computer-program products for fluid analysis and monitoring are disclosed. Embodiments include a removable and replaceable sampling system and an analytical system connected to the sampling system. A fluid may be routed through the sampling system and data may be collected from the fluid via the sampling system. The sampling system may process and transmit the data to the analytical system. The analytical system may include a command and control system to receive and store the data in a database and compare the data to existing data for the fluid in the database to identify conditions in the fluid. Fluid conditions may be determined using machine learning models that are generated from well-characterized known training data. Predicted fluid conditions may then be used to automatically implement control processes for an operating machine containing the fluid.
Quantitative Method for Determining the Organic Acid Content of Crude Oil
A method for analysing a crude oil to determine the amount of organic acid compounds contained in the crude oil includes extracting the organic acid compounds from a sample of crude oil to form an extract and determining the amount of the extracted organic acids In addition, the method includes dissolving the extract in a polar solvent to form a solution of the extracted organic acid compounds Further, the method includes introducing a sample of the solution of the extracted organic acid to an apparatus including a reversed phase liquid chromatography (LC) column and a mass spectrometer (MS) arranged in series. The reversed phase LC column contains a hydrophobic sorbent and the mobile phase for the LC column includes a polar organic solvent. Still further, the method includes separating the organic acid compounds in the LC column of the LC-MS apparatus and continuously passing the separated organic acid compounds from the LC column to the MS of the LC-MS apparatus to ionize the organic acid compounds and to obtain a chromatogram with mass spectral data over time for the ionized organic acid compounds. Moreover, the method includes determining the area(s) under the peak(s) in an extracted ion chromatogram derived from the mass spectral data assigned to one or more organic acid compounds. The method also includes determining the amount of the organic acid compound(s) in the sample by comparing the area under the peak(s) assigned to the organic acid compound(s) with the area under a peak in an extracted ion chromatogram assigned to a specific amount of a standard organic acid compound. In addition, the method includes extrapolating from the amount of the organic acid compound(s) in the sample to provide the total amount of the organic acid compound(s) in the extract.
Sample testing apparatus and method
A sample testing apparatus is disclosed for use in optical transmission analysis of fluid samples such as oils or engine oils. The apparatus comprises a transmission cell comprising first and second fixed walls (1,2) and a movable window (3) that is moved with respect to the first and second walls in and out of a test region (6). When the movable window (3) is moved into the test region (6) an optical path through a fluid sample in the cell is defined, the optical path through the sample comprising a portion extending through the or each gap (L.sub.1,L.sub.2) between a one of the first and second fixed walls (1,2) and the at least a portion of the first movable window (3). Also disclosed are methods of using the sample testing apparatus and methods of performing a measurement for use in optical transmission analysis of a fluid sample.
Method for on-line determination of a basicity index of a liquid body and use of said method for a lubricant
A method for determining a basicity index of a liquid body comprising: (a) detecting an intensity of an infrared signal passing through a sample of the liquid body; (b) calculating a transmittance value of infrared waves through the sample for p wave numbers, wherein p in a natural integer greater than or equal to two; and (c) determining the basicity index of the liquid body, BN, wherein of BN=Tr.Math.M.sub.(p1)+R, Tr is a set of transmittance values calculated in step b, M.sub.(p1) is a set of data of a model, the set of data containing coefficients determined from measured basicity index values and measured transmittance values of reference liquid bodies, and R is a residue of the model, determined from the measured basicity index values and the measured transmittance values of the reference liquid bodies.
Fluid analysis and monitoring using optical spectroscopy
Systems, methods, and computer-program products for fluid analysis and monitoring are disclosed. Embodiments include a removable and replaceable sampling system and an analytical system connected to the sampling system. A fluid may be routed through the sampling system and data may be collected from the fluid via the sampling system. The sampling system may process and transmit the data to the analytical system. The analytical system may include a command and control system to receive and store the data in a database and compare the data to existing data for the fluid in the database to identify conditions in the fluid. Fluid conditions may be determined using machine learning models that are generated from well-characterized known training data. Predicted fluid conditions may then be used to automatically implement control processes for an operating machine containing the fluid.