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Texas Gulf Coast

  Date: July 26, 2018
  Networking: 5:30 - 6:00   
  Program: 6:00 - 7:00 pm
  2 Locations


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SPEAKER LOCATION
ISS Meeting Building
1800 Space Park Drive
Nassau Bay, TX
77058




Transocean,
Room C-100 Concourse Level
4 Greenway Plaza
Houston TX 77046

TGCC Chapter Program July 2018


PRAF: Process Resilience Analysis Framework for Design and Operations

Process plants are complex socio-technical systems that degrade gradually and change with advancing technology. This research deals with exploring and answering questions related to the uncertainties involved in the process units, and their complexity. It aims to systematically integrate resilience in process design and operations through three different phases of avoidance, survival, and recovery. This analysis relies on data-driven model and optimization approach utilizing the resilience metrics developed in this research. These metrics integrate both technical (e.g., process parameters variations, equipment failure) and social (e.g., human and organizational) factors. In particular, an integrated method incorporating process, maintenance, safety, and cost is developed to:

- predict process upset events using deep learning, global sensitivity analysis, and robust simulation approaches,

- assess cumulative risks and develop policies for safety barriers during a process upset situations using Bayesian analysis, regression, modeling, and optimization, and

- reduce response time using modeling, Bayesian analysis and optimization.

This seminar highlights the application of this proposed framework for the avoidance and survival phases. Detailed example problems on a batch reactor and cooling tower operations are used to illustrate the potential of the proposed framework.

The results indicate that the framework is successful in capturing the interactions between the process operability characteristics, social aspects, safety, and maintenance policy. This leads to a< reduction in uncertainty and helps in improved and more informed decision-making.



Prerna Jain

Prerna Jain is a Ph.D. candidate at Texas A&M University, College Station in Chemical Engineering. Her research interests are process design and optimization, process improvement, new process evaluation, scale-up, sustainability, and process safety engineering. She expects to graduate in August 2018 and hopes to work in the industry. She has 5 years of industry experience before graduate school with one of the Fortune 500 companies. She has successfully completed two summer internships, one with ExxonMobil and second with Federal Energy Regulatory Commission (FERC). Outside research, she has served in leadership positions in various national and international student organizations such as Graduate and Professional Student Council, Energy Research Society, Society of Women Engineers and more. She has won various honors and awards, some of them include Budding Researcher Award, ACE Women Progress Award, TAMU; Buck Weirus Spirit Award, TAMU; Aggies Got Talent, TAMU.