Exxonmobil Research and Engineering Company

Exxonmobil Technology and Engineering Company

Helen S Wellons

Liezhong Gong

James M Brown

Clinton R Kennedy

Kuangnan Qian

Roland Bernard Saeger

Eric D Joseck

James William Gleeson

Tahmid I Mizan

Steven Webster Levine

Lisa I Yeh

Apostolos T Georgiou

Anantha Sundaram

Corry S Powers

Stephen B Jaffe

James W Gleeson

J Douglas Kushnerick

Howard D Franklin

Howard Franklin

Roland B Saeger

Systems and methods are provided for modifying or selecting processing conditions for bright stock formation based on compositional characterization of the feedstock and/or bright stock products. In some aspects, the compositional information can include Z-class characterization of the components of a feed and/or bright stock product, optionally in combination with carbon number and/or molecular weight for the components. The compositional information can be used to select processing conditions to allow for removal and/or modification of selected components within a bright stock in order to improve throughput and/or provide desirable cold flow properties.

Selection of bright stock processing conditions based on sample characterization

Methods are provided for characterizing crude oils, crude fractions, or other potential feedstocks for forming lubricating base oils in order to determine the suitability of a feedstock for lubricating base oil production. One type of characterization is to determine the isoparaffin, naphthene, and/or aromatics contents of the distillate portion of a feedstock. A second characterization is to determine the viscosity index of a distillate portion of a feedstock after dewaxing the distillate portion to a target pour point.

Evaluation of distillate composition of a crude

A method for determining the composition of a material including the steps of fitting multivariate analytical data of the material to a combination of multivariate analytical data in a database to determine coefficients of the combination so as to determine a reference model of composition based on the coefficients and the compositions in the database, wherein the database includes multivariate analytical data of database materials whose compositions are known, and reconciling the reference model of composition to match properties of the material.

Estimating detailed compositional information from limited analytical data

The invention provides a method and means of predicting, in near real-time, the detailed chemical composition of major streams in a refinery, including those downstream from the crude distillation column. The dynamically updated feed characterizations can be derived in near real time from an assay database of current crude diet, RTO information about upstream refinery units and various analyzer inputs. The chemical compositions of each stream are stored and updated in a plant wide database. A broad range of property calculations can be ascertained, either automatically or on demand, from the compositional information. An application permits users, such as operations, planning and engineering personnel, to access the database directly or indirectly (e.g., on line). This information is then used by each user to further optimize the operation of a given refinery unit and/or the plant as a whole.

Prediction of stream composition and properties in near real time

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Annandale, NJ, United States of America

Helen S Wellons