Patent classifications
G01N33/2829
METHOD TO PREPARE VIRTUAL ASSAY USING GEL PERMEATION CHROMATOGRAPHY
Systems and methods are disclosed for providing virtual assays of an oil sample such as crude oil based on gel permeation chromatography (GPC) carried out on the oil sample or a solution of the oil sample in a GPC solvent, and the density of the oil sample. The virtual assay provides a full range of information about fractions of the oil sample including naphtha, gas oil, vacuum gas oil, vacuum residue, and other information about the properties of the oil sample. Using the system and method herein, the virtual assay data pertaining to these several fractions of the oil sample and the oil sample itself are obtained without fractionation of the oil sample into the several components.
Pipeline interchange/transmix
In one embodiment, a pipeline interchange flows a product through an upstream pipeline. An automated analyzer is connected to the upstream pipeline, wherein the automated analyzer analyzes a sample of the product, and wherein the analyzer is capable of analyzing different physical and/or chemical characteristics of the product and generating a data sample. An automatic splitter is then placed downstream of the automated slipstream analyzer. In this embodiment, the automatic splitter is capable of receiving and interpreting the data sample from the automated analyzer and directing the product into at least three different downstream pipelines, wherein at least one of the downstream pipelines is a transmix pipeline and wherein at least one of the downstream pipelines returns the product upstream of the automated analyzer.
Liquefied natural gas vaporization sampling system
An improved liquefied natural gas vaporization system is provided for converting liquefied natural gas (LNG) to vapor so that it can be measured for integrity. The liquefied natural gas vaporization system of the present invention makes use of a sample probe that uses a cryogenic check valve to allow the vaporization process to begin early, and, due to design and incorporation with heated regulation, reduces the need for an accumulator, which is often used in other systems. By eliminating the need for an accumulator, a more real-time and authentic measurement of the LNG sample may be taken. After the probe takes the sample, the sample is sent to a sampling system and subsequently to an analytical measuring system, where the sample is measured.
Methods and systems for crude oil blending with quality and composition monitoring and control
Systems and methods for monitoring a crude oil blending process use nuclear magnetic resonance (NMR) sensors which investigate properties of a plurality of crude oil streams that are mixed together to form a crude oil blend. An NMR sensor is also used to investigate the properties of the crude oil blend. The investigated properties may include viscosity. Resulting determinations may be used to control the input streams so that the output stream meets desired criteria. Additional sensors such as spectroscopy sensors, viscometers, and densitometers may be used in conjunction with the NMR sensors.
Fuel quality sensor
A fuel quality sensor can include a pump with a suction side and a pressure side for pumping fuel along a fuel flow path between an underground reservoir and a nozzle of a fuel dispensing unit; a first transmitter disposed at the suction side of the pump on a first side of a bypass plenum in fluid communication with the fuel flow path, the first transmitter configured to transmit a first light signal at a first predetermined frequency in the bypass plenum; a receiver disposed at the suction side of the pump on a second side of the bypass plenum and configured to receive the first light signal; and a control unit electrically connected to the first transmitter and the receiver and configured to determine at least one parameter of the fuel present in the fuel flow path based on the received first light signal at the first predetermined frequency.
Method and apparatus for calculating derived cetane numbers
A method and apparatus for calculating the derived cetane number of a liquid hydrocarbon sample is disclosed. The method comprises combusting (19) the sample in a constant volume combustion chamber (45). The method comprises obtaining (23) a pressure versus time combustion profile (69) of the sample wherein the profile comprises a first region (81) and a second region (83), the first region (81) including the start of combustion, and the second region (83) relating to a later time than the first region. The method comprises selecting a single data point from the second region (83) of the combustion profile (69), said data point representing a combustion delay (CD) of the combustion profile; and calculating a derived cetane number for the sample using the time value associated with said single data point.
Systems and methods for implicit chemical resolution of vacuum gas oils and fit quality determination
Systems and methods for implicit chemical resolution of vacuum gas oils and fit quality determination are disclosed. The systems and methods include utilizing an FT-IR spectrum of an unknown VGO composition, and a database of FT-IR spectra of known VGO compositions, to determine a model of composition for the unknown VGO composition. Additionally, the fit quality for the model of composition is determined by performing a partial least squares analysis on specific spectral regions of interest in the FT-IR spectrum of the unknown VGO composition.
Systems and processes for performance property determination using optical spectral data
Systems and methods for determining performance properties of an unknown composition are disclosed. The performance properties can include a Research Octane Number (RON), a Motor Octane Number (MON), and/or a cetane number. The systems and methods include utilizing an optical spectrum of an unknown composition to determine a model of composition, where the model of composition includes a molecular identity and a relative abundance for components therein. The model of composition is then utilized to calculate one or more performance properties. Additionally, the fit quality for the model of composition is determined by performing a partial least squares analysis on specific spectral regions of interest in the optical spectra of the unknown composition.
Pipeline interchange/transmix
In one embodiment, a pipeline interchange is described where a first product flows through a first pipeline and a second product flows through a second pipeline. A pipeline interchange is connected downstream to both the first pipeline and the second pipeline, wherein the pipeline interchange blends the first product flowing through the first pipeline with the second product flowing through the second pipeline. A third pipeline is connected downstream to the pipeline interchange, wherein the third pipeline flows a blended product created from the blending of the first product and the second product in the pipeline interchange. An automated analyzer can be situated downstream of the pipeline interchange capable of physical and/or chemically analyzing the blended product and generating blended data. A data analyzer is also positioned to interpret the blended data and communicate adjustments to the flow of both the first product and the second product to achieve desired physical and/or chemical characteristics in the blended product.
Pipeline interchange/transmix
In one embodiment, a pipeline interchange flows a product through an upstream pipeline. An automated analyzer is connected to the upstream pipeline to analyze different physical and/or chemically properties in the product and generate data from the product without extracting a sample from the upstream pipeline. An automatic splitter is placed downstream of the automated analyzer, capable of receiving and interpreting the data from the automated analyzer and directing the refined petroleum product into at least three different downstream pipelines, wherein at least one of the downstream pipelines is a transmix pipeline.