STS AIChE November 3rd 2022 Hybrid Meeting | AIChE

STS AIChE November 3rd 2022 Hybrid Meeting

Thursday, November 3, 2022,
5:30pm to 9:00pm
In-Person / Local
12126 Westheimer Rd
Houston, TX 77077
United States

The November 3rd meeting agenda is as listed below. Our Houston area venue for November 3rd is located on the West side of town at The Bougainvilleas, 12126 Westheimer Rd, Houston, TX 77077 (Hybrid format- in person or online).

  • 5:30PM - 6:30PM  Pre-dinner Workshop- Randy Miller, Schneider, Operator Effectiveness in Specific Operations Regimes (PDH)
  • 6:00PM – 7:00PM Social/Networking Time
  • 7:00PM - 8:00PM Dinner and STS Announcements & Awards Presentation
  • 8:00PM - 9:00PM Keynote Presentation/Speaker- Eric Netemeyer, Chevron Phillips Chemical, Improving Decision Making, Enhancing Value in Major Capital Project (PDH)


  • In Person Registration - Sign-up Here
    • Members - $38
    • Non-members - $45
  • Online (via Microsoft Teams) - Sign-up Here
    • Members - $5
    • Non-members - $15

Keynote Presentation 

Improving Decision Making, Enhancing Value in Major Capital Project (1 PDH)


Chevron Phillips Chemical strives to be the world’s premier chemical company, known as the employer, supplier, neighbor, and investment of choice.  Growth through the efficient execution of major capital projects across the globe has been a key element of this pursuit since the company formation in 2000.  Performance by Design is Chevron Phillips Chemical’s process for continuous improvement in all endeavors.  It’s about innovating and simplifying our processes to unlock hidden value.  This commitment to improvement led to rethinking the major project development process to ensure stakeholder alignment on maximizing competitive advantage and reinforcing the right accountability culture to maximize project value.  This talk will focus on the process journey taken to rethink how to approach the early project phases to maximize project value.     

  • Driving Stakeholder Alignment – Crucial conversations to maximize competitive advantage
  • Minimize Complexity – Simplify execution with fit for purpose and staying away from building with contingencies
  • Managing with Accountability – Optimizing owner teams through effectively leveraging contract resources to drive efficient execution

About the Keynote Speaker

Eric Netemeyer earned his Master’s Degree in Chemical Engineering from the University of Missouri in 2001 and is currently the Transformation & Sustainability Manager at Chevron Phillips Chemical.  He has over 20 years of experience in process engineering with a variety of different assignments.  He started his career as an operations engineer producing a variety of specialty chemicals before transitioning to Research and Technology where he has spent a bulk of his career.  Once in Research and Technology, Eric worked scaling up process technologies for the pilot scale to commercial operation and earned over 20 process patents along the way.  He went on to manage the pilot plants and led projects to build new pilot plant facilities for Chevron Phillips Chemical’s Alpha Plus® and Martech® Advanced Dual Loop (ADL) polyethylene process technologies.  From there Eric transitioned to licensing where he and his team sold several licenses across the world for the various proprietary technologies offered by Chevron Phillips Chemical.  This talk is based on his experience as the Chief Engineer on the USGC-II project in establishing the right working environment to maximize the competitive advantage of major capital projects.

Pre-Dinner Workshop

Operator Effectiveness in Specific Operations Regimes (1 PDH)


The decades long study into root causes of abnormal situations and situational awareness starting in the early 1990’s resulted in a wealth of new knowledge of the human factors in industrial process operations. Several vendors followed this study with situational awareness control system graphics, dozens of operator focused applications and global best practices for process operation. Despite this collaborative and collective effort, the utilization of these solutions and best practices is very inconsistent. To adopt all of the best practices can require an investment of several million dollars. Justifying this expense has historically been qualitative or consultative leading to inconsistent adoption.

This gap in quantifying the value of improved operator effectiveness and exactly which best practices should be deployed is the motivation and topic of this presentation. The approach is to measure the variation between operators or shifts within distinct regimes of operation to estimate the potential benefit of improved operator effectiveness. The magnitude of the operator or shift variation in each operation regime aligns with the quantified value of a specific situational awareness solution. It is important to note that the root cause of poor operator effectiveness is a specific deficiency in the control room or lack of a situational awareness best practice rather than a fault with the human operator. When the focus is on production throughput increase, estimated benefits have ranged from 0.5% to nearly 3%.

About the Speaker

Randy Miller started his career as an Instrumentation Tech in the oil and gas fields of Northern Alberta, Canada. After completing a B.Sc. and M.Sc. in Chemical Engineering at the University of Alberta, he spent three years with Mitsubishi Chemical’s Engineering Research Center in Mizushima Japan. Here he innovated control strategies that considered both the operability and robustness of several novel chemical processes that were yet to be built. Then, with Honeywell Process Solutions he worked in multiple fields of R&D, marketing, sales and general management all related with the Abnormal Situation Council focused on improving the human factors of process operation. Now with Schneider, he is leading a global digital transformation team that is further studying the impact and specific solutions of the human factor in process operation. Randy holds 20 patents and has authored numerous publications.