Information Systems

Viewpoint: How digital transformation impacts daily manufacturing operations

Price, E., Honeywell Connected Enterprise

With the ever-increasing speed of technology innovation around the Industrial Internet of Things (IIoT) and cloud offerings, industrial manufacturers are evaluating how these new solutions can impact their daily operations. Specifically, they are looking at how these innovations enable real-time, actionable insights across processes, assets and the workforce. These insights allow for quicker and more informed decisions, thereby driving efficiency and profitability.

Project Management: How human intelligence and AI are driving project planning in the oil and gas industry

Patterson, D., InEight

The science of project planning has something of a tenuous reputation. How often do large oil and gas capital expenditure (CAPEX) projects really come in according to plan? Almost never. Indeed, 30% of respondents to a 2018 PWC survey said they had experienced cost overruns of 10%–50% on their Middle East capital projects.

Digital: How digital tools improve access to device information

Thompson, A., Emerson Automation Solutions

Welcome to the future! The plant runs fully automated; robots glide silently back and forth, ensuring an optimized process; and your maintenance technician—with a few keystrokes—can tell you exactly how each piece of equipment is running. The promise of the Industrial Internet of Things (IIoT) has been delivered.

Cybersecurity visibility and resilience: Keys to protecting HSE/margins in operations

Garibi, C., Siemens Oil and Gas

As digitalization accelerates in today’s downstream refining and petrochemical facilities, operators need to stay ahead of ever-growing cyber vulnerabilities in the operational technology (OT) layer—prime targets for threat actors—that may not be covered by traditional IT safeguards. Unfortunately, too often, that is not the case for a variety of reasons.

APC maintenance scheduling—Part 1

Mayo, S. M., Rhinehart, R. R., Madihally, S. V., Oklahoma State University

Advanced process control (APC) projects are supervisory programs that are often thought of as a layer of control above the base regulatory control for a process. The benefits of APC include increased throughput, reduced variation, constraint avoidance, etc., and can be combined to represent a daily economic-equivalent benefit for the application—the same anticipated benefit that led to the justification of the APC installation. Several articles report that after 18 mos–24 mos, more than half of APC installations are performing at either pre-installation levels or have been removed.1,2,3 Although diverse reasons exist for the performance shortfall, a primary reason is that the process characteristics drift from those that generated the controller model.

Digital: Technologies are advancing industry beyond alarm management

Hollifield, B., PAS Global

Let’s face it, alarm management is a fully mature body of knowledge. Since the mid-1990s, industry has improved thousands of alarm systems, transforming them from overloaded nuisances to valuable operator tools for abnormal situation detection and response.

Onsite

Nichols, Lee, Hydrocarbon Processing Staff

Innovations

Rhodes, Mike, Hydrocarbon Processing Staff

Honeywell is developing a OneWireless™ IoT Module for the next generation of Cisco’s industrial access points, the Cisco Catalyst IW6300 Heavy Duty Series Access Point. The Honeywell and Cisco technologies will form the backbone of Honeywell’s OneWireless Network.

Business Trends: EPC 2030: Five vital characteristics that will define the EPC firm of tomorrow

Donnelly, P., AspenTech

The state of the global engineering, procurement and construction (EPC) industry can accurately be described as “challenging.” Operating in an environment of volatile, uncertain, complex and ambiguous conditions, EPC firms are facing unsustainable levels of stress.

RAM analysis for refinery process design optimization

Gandhi, S., Kortnicki, H., Nangia, K., Fluor Enterprises, Inc.

RAM refers to reliability, availability and maintainability analysis. The RAM model uses discrete event simulation (DES) software and provides a quantitative assessment of the performance of an industrial plant. This article discusses the use of RAM analysis on petroleum refinery projects to select an optimum process configuration and associated storage requirements.