Overview
| Project No. | 1020 |
|---|---|
| Contract No. | 693JK32350004CAAP |
| Research Award Recipient | Arizona State University 660 S. Mill Ave. Tempe, AZ 85281 |
| AOR/TTI | Zhongquan Zhou |
| Researcher Contact Info | Dr. Yongming Liu, Professor, School for Engineering of Matter, Transport & Energy Phone: 480-965-6883 Fax: 480-727-9321 yongming.liu@asu.edu CO-PI: Dr. Shuguang Deng, Professor, School for Engineering of Matter, Transport & Energy, Arizona State University, 480-727- 7238 (phone) and 480-727-9321(fax), shuguang.deng@asu.edu Co-PI: Dr. Tekle Fida, Senior Scientist, GTI Energy, Des Plaines, IL 60018-1804, 847-768-0633, tfida@gti.energy |
| Technology Demonstrated | TBD |
|---|---|
| Commercialized (in whole/part) | TBD |
| Commercial Partner | Empty Value |
| Net Improvement | Empty Value |
| Project Status | Active |
|---|---|
| Start Fiscal Year | 2023 (09/30/2023) |
| End Fiscal Year | 2026 (09/29/2026) |
| PHMSA $$ Budgeted | $1,000,000.00 |
Main Objective
The main objectives are to develop a novel green inhibitor synthesis method, optimize its implementation in gas pipeline environments, and evaluate the inhibitor's effectiveness and compatibility using laboratory testing and nondestructive evaluation (NDE) measurements.
Public Abstract
Green inhibitors, as an alternative to classical chemical inhibitors, offer great potential to mitigate internal corrosion while being environmentally friendly. This project aims to develop the synthesis methods to formulate novel green inhibitors from renewable feedstocks. The developed green inhibitors will be able to adapt to various gas constituent chemistries for performance and compatibility. The project is intent to optimize the implementation of green inhibitors in gas pipeline environments for different pipe geometries, inhibitor properties and operational factors. Lab testing and nondestructive evaluation (NDE) measurements will be conducted to evaluate inhibitor's effectiveness and compatibility.
Anticipated Results: The project is expected to result in novel green inhibitors which can be implemented to mitigate internal corrosion threats in natural gas pipelines. The formula and synthesis method will be finalized for the green inhibitors which demonstrate their unique characteristics and effectiveness in the simulated real world operating environment. A multiphase flow simulation framework will be developed to optimize the application of green corrosion inhibitors and establish AI-augmented computing to recommend best practice for successful implementation of green inhibitors in field to achieve accuracy and efficiency considering the practical challenges under operating pipeline conditions. A risk-based maintenance optimization framework for green inhibitors will be developed to establish inhibitor evaluation metrics and implement an AI-automated inspection plan.
Potential Impact on Safety: Mitigate internal corrosion risk in natural gas pipelines by implementing environmentally friendly inhibitors utilizing AI-automated maintenance optimization framework.
Relevant Files & Links
Quarterly/Annual Status Reports
1st Quarterly Report-revised
2nd Quarterly Report-revised
3rd Quarterly Report-revised
Yr1 Annual Report-revised
Quarterly Report 5-revised
6th Quarterly Report-revised