Chevron U.s.a. Inc.

Toni Zhang Miao

Hye-Kyung Cho Timken

Huping Luo

Eddy Lee

Howard Steven Lacheen

Bi-Zeng Zhan

Michael Moir

Ajit Ramachandra Pradhan

Deyuan Kong

Bong-Kyu Chang

Grzegorz Jan Kusinski

Estrella Rogel

Thomas Hoelen

John Bryan Trenery, Jr

Rachel Ellen Mohler

Michael Tung-hai Cheng

Ian Phillip Benson

Monica Michele Barney

Kyle Matthew Hench

Roopa Kamath

Robert Neil Trotter

Cory James McDaniel

The present disclosure advantageously refers to systems and methods for predicting an oil mixture's blend compatibility without mixing the components and/or without performing direct blend testing. The techniques described use a correlation between near infrared spectroscopic information, asphaltene solubility parameter Ra, and maltene solubility parameter Po to accurately predict blend compatibility using the equation P=Po(blend)/Ra(blend). A P≥1 indicates the blend is compatible. These techniques are useful in, for example, refineries to predict and therefore reduce or eliminate fouling due to asphaltene deposits.

Systems and processes for predicting asphaltene blend compatibility

A method is provided for predicting conjunct polymer concentration in spent ionic liquid during a continuous hydrocarbon conversion process.

Method for on-line prediction of conjunct polymer concentration in a hydrocarbon conversion process

Hydrocarbons concentrations are determined in drilling cuttings samples by generating a model for predicting hydrocarbons concentrations. Methods include dividing multiple samples removed from drilling fluid into two one set analyzed using a retort, and another set analyzed using a handheld NIR spectrometer to obtain NIR diffuse reflectance data. PLS analysis is used to correlate the retort data with the diffuse reflectance data to generate a calibration model. The model is validated with samples having unknown hydrocarbons concentration. The model is used to predict the hydrocarbons concentration for samples removed from drilling fluid taken from the rig site using the spectrometer to obtain diffuse reflectance data. During measurements, each sample contains 0.1 to 10 wt % moisture and each sample is in a clear container pressed against the spectrometer window such that the IR source from the handheld device can pass to the drilled solids sample within the clear container without opening the clear container.

Method for determining hydrocarbon concentration in drilled solids using near infrared spectroscopy

An integrated system for monitoring a chemical concentration in an ionic liquid, comprising:

Integrated systems and processes for online monitoring of a chemical concentration in a flow of a degassed ionic liquid

Integrated systems and processes for online monitoring of a chemical concentration in an ionic liquid

Disclosed is a method for generating a site specific model for predicting TPH concentration in soil. The method includes dividing a plurality of soil samples taken from a field site into two sets of samples. One set is analyzed using GC-FID, and the other set is analyzed using a handheld FTIR spectrometer with an ATR window to obtain FTIR-ATR absorbance data. Partial least squares regression analysis is used to correlate the GC-FID TPH concentration data with the absorbance data to generate a calibration model. The model is validated with soil samples having unknown TPH concentration. The model is used to predict the TPH concentration of soil samples taken from the field site analyzed using the handheld Fourier transform-infrared spectrometer to obtain FTIR-ATR absorbance data for the soil samples. During all absorbance measurements, each of the soil samples has a moisture content of 1 to 30 wt % and each sample is pressed against the ATR window with sufficient pressure to ensure intimate contact between the sample and the window.

Method for predicting total petroleum hydrocarbon concentration in soils

A method of estimating the relative concentration of at least two components contained in a mixture of the components is disclosed. At least two mixtures are produced by combining the at least two components, each of the at least two mixtures having different concentrations of the at least two components. NIR mixture spectra are acquired from each of the at least two mixtures. The NIR component spectra and the NIR mixture spectra are input into a computer utilizing chemometrics software and the spectra are analyzed to produce a calibration model for each component and each of the mixture NIR spectra. NIR monitored spectra for a monitored mixture of the components having an unknown concentration of the components is acquired. The calibration models are applied to the NIR monitored spectra to thereby estimate the concentration of at least one of the components in the monitored mixture.

Method and system for NIR spectroscopy of mixtures to evaluate composition of components of the mixtures

A method for determining corrosiveness of naphthenic acid in a crude oil feedstock is provided. The method includes the steps of providing a crude oil feedstock containing naphthenic acid; contacting the crude oil feedstock with iron for a period of time at a sufficient temperature for the iron to react with the naphthenic acid, forming iron salts. Under sufficiently high temperatures, at least a portion of the iron salts decompose to form ketone, which can be quantified. Measurements of the ketone can be used to correlate with the amount of iron lost from corrosion given a certain level of naphthenic acid present, giving a measure of the corrosivity of crude oil feedstock.

Methods for evaluating corrosivity of crude oil feedstocks

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Orinda, CA, United States of America

Toni Zhang Miao