Our Publications

This study of the water-contamination reactions of ethylene oxide was conducted by Arthur D. Little, Inc. with funding from, and under the auspices of, the Ethylene Oxide Industry Council, part of the American Chemistry Council.

A series of large-scale field trials to better understand the issues with silane storage and use were conducted under the direction of CGA and Air Products at EMRTC in New Mexico.

This presentation by Justin Phillips, P.E., presents language from the newest API standards updates, the significance of the updates for the process industry, and clarification on the standard with helpful links and diagrams.

In this presentation, Dr. Georges A. Melhem reveals fundamental SuperChems™ explosion building blocks and models that address many of the flaws of simplified sizing methods. Included are case studies of how they are applied and how the burning rate models are developed from measured data.

Compliance with the Process Safety Management (PSM) Standard is challenging for even the most sophisticated operators because of the broad scope and technical nature of the 14 PSM elements ― specifically PSI, process hazard analysis, and mechanical integrity ― that have resulted in the majority of OSHA citations under the petroleum refinery (>50%) and chemical (>60%) PSM National Emphasis Programs.

There is considerable interest in means for predicting reactivity hazard potential from chemical structure. Such means are intended to provide measures of the likelihood that a given chemical composition can undergo rapid self-reaction,

Risk management in the petrochemical industry includes a wide variety of activities, one of which is quantitative risk assessment. The quality of a quantitative risk assessment study is highly dependent on the effectiveness of the hazard identification stage ― it is essential that all applicable hazards and potential hazard scenarios are considered.

Pharma/BioPharma cGMP, including both small and large molecule Pharma processes can leverage their cGMP program for implementation of PSM, as there is a very close correlation between the 13 of 14 OSHA PSM elements and the FDA cGMP requirements (i.e. Employee Participation, Process Safety Information, Process Hazard Analysis, Operating Procedures, Training, Contractors, Pre-start up Safety Review, Mechanical Integrity, Hot Work Permit, Management of Change, Incident Investigations, Emergency Planning and Response and Compliance Audits).

With the increasing number of catastrophic events happening, having the ability to utilize remote technology in process safety management is more important than ever.

This presentation provides an overview of the process safety competency institutional guidelines and what organizations like yours can do to promote process safety within.

Asset Integrity (AI), also referred to as Mechanical Integrity (MI), is critical for compliance and risk reduction and is part of the OSHA Process Safety Management (PSM) standard in the U.S. According to OSHA guidance on PSM, implementing the required safety programs help prevent fires, explosions, large chemical spills, toxic gas releases, runaway chemical reactions, and other major incidents.

This presentation provides guidance on a systematic chemical hazards evaluation process that improves chemical reactions hazards prediction methods.

This paper examines typical release conditions leading to aerosol formation in existing HF alkylation technology. The variables affecting aerosol formation in the mechanical and thermal breakup regimes are identified. The properties of these key variables are altered chemically using an additive to reduce aerosol formation for the entire operation envelop without degradation of alkylation efficiency.

Until 2020, in-person classroom training was the most common form of employee training. The global pandemic crisis forced organizations to change their strategy.

Making decisions about risks intrinsic to process safety design. Traditionally, to create a core design for a new process, engineers examine how the system could break down, determine the impact of system failures, and estimate their likelihood.