1 / 12

NeSSI fying GC a proposal to the Washington Technology Center

NeSSI fying GC a proposal to the Washington Technology Center. Brian Rohrback, Infometrix, Inc. CPAC Team David Veltkamp, Brian Marquardt, Mel Koch and Jaromir Ruzicka. Life in the Petroleum Industry. US Oil sector shed more than 500,000 jobs between 1982 and 2005

lerato
Download Presentation

NeSSI fying GC a proposal to the Washington Technology Center

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. NeSSIfying GCa proposal to the Washington Technology Center Brian Rohrback, Infometrix, Inc. CPAC Team David Veltkamp, Brian Marquardt, Mel Koch and Jaromir Ruzicka

  2. Life in the Petroleum Industry US Oil sector shed more than 500,000 jobs between 1982 and 2005 American Petroleum Institute surveyed and found a projected need for 30,000 engineers over the next 5 years Total current enrollment in petroleum-related engineering programs in US universities stands at 1,500 http://www.ptsstaffing.com/ptsnews_05q3.pdf

  3. Whither Process GC? • Process GCs generate a lot of data; very little of the information content of that data is mined from the existing installations • Automation has to reduce maintenance demands of the on-line instruments • There is a strong need to standardize and simplify the calibration of a collection of process GCs (worldwide?) • There are powerful financial and quality incentives to bring more complex GC analysis on-line

  4. WTC ProposalSoftware and Algorithm Tasks • Retention time alignment • Test additional algorithms for speed and computer horsepower requirements • Evaluate accuracy precision of shift and quantitation • Evaluate EZChrom • Use chemometrics tools to develop a reliable means of making hardware corrections automatically • GC data compression

  5. WTC ProposalPrototyping a NeSSI GC • Design and construction of fluidics • Build a test platform to handle stream switching, blending and sample injection • NeSSI GC interface • Integrate the ASI MicroFast GC • Assess feasibility of commercial microfabricated GCs • Sensor addition/data fusion • Use of vaporchromic sensors, temperature, pressure, … • Differentiate instrument malfunction from process upsets

  6. WTC ProposalApplications • Evaluate three hydrocarbon analysis applications • Extract organics from a wastewater stream and ID source • Test pollutants in air to schedule maintenance • Characterize input naphtha to optimize a catalytic cracker • Expand the application base • Draw from food, pharmaceutical, biotech • Evaluate the commonality of function

  7. Instrument to instrument consistency 3 instruments: C8 to C19 hydrocarbons 20 40 60 Time (seconds) Raw data

  8. Instrument to instrument consistency 3 instruments: C8 to C19 hydrocarbons 20 40 60 Time (seconds) Auto-Aligned

  9. PCA scores before and after alignment Alignment gives us: A means of eliminating the run-to-run variability that affects all forms of chromatography. Requires no internal standards and no use (in the traditional sense) of external standards, both of which are impractical.

  10. Process GC data processing in action

  11. Reviewed 12 systems that can be used in process analysis ABB, Emerson, Foxboro, Siemens, Yokogawa Agilent, PerkinElmer, Shimadzu, Thermo, Varian ASI, SLS Micro Selected 3 as the focus of the current development effort, driven by CPAC interest, cost to develop, and time to market Process Gas Chromatographs

  12. Summary • To use chromatography in a process setting, we need to process the data automatically. • Retention time drift is a constant companion but can be corrected by software in a fully automated way. • The result of alignment is better run-to-run peak identification and can unify data from more than one chromatograph. • With aligned data, interpretation is both more sensitive and more reliable, allowing unattended assessment of samples, the instrument and the process as a whole.

More Related