Benefits of Intelligent Drawing Practices Originally delivered Jul 29, 2015 Source: Provenance Consulting | This webinar is sponsored by Provenance Consulting and reflects their views, opinions, and insights. Attendance is free. Type: Archived WebinarLevel: Basic Duration: 1 hour PDHs: 0.00 Share This Post: Preview Webinar: This presentation details how to identify opportunities for improved drawing practices and how these practices can shape your facility’s ability to maintain and evaluate Process Safety Information (PSI). Hundreds of thousands of PSI data points are stored on various types of drawings at a given petrochemical facility. By utilizing “intelligent drawing” practices, these data points can be effectively maintained and properly evaluated to aid in the implementation of all other aspects of a successful Process Safety Management (PSM) program. PSI data points on drawings may include equipment and instrumentation identification numbers, equipment design specifications, valve information, piping identification and specification, revision history, stream information, pipe fitting information, instrument location and settings, and many more. Presenter(s): Matt Leos Matt Leos has over four years of experience in Process Safety Management (PSM) related to project execution in the Oil and Gas Industry. He served as the Line of Service Lead for the Computer Aided Drafting (CAD) department at Provenance Consulting. His expertise is in Process Safety Information (PSI) data management, software development and implementation, and CAD. He holds a B.S. in Mechanical Engineering from the University of Texas and is an Engineer-in-Training (EIT) within the State of Texas.Read more Checkout Checkout Do you already own this? Log In for instructions on accessing this content. Pricing Individuals AIChE Members Free AIChE Graduate Student Members Free AIChE Undergraduate Student Members Free Non-Members $0.00 Sponsored webinars bring technical information from reputable firms and suppliers to AIChE members. The content reflects the views, opinions, and recommendations of the sponsoring organization. AIChE does not warrant or represent, expressly or by implication, the correctness or accuracy of the content of the information presented. As between (1) the AIChE, the presenter and author(s) of this work, their employers, and their employers' officers and directors, and (2) the user/viewer of this work, the user/viewer accepts any legal liability or responsibility whatsoever for the consequence of its use or misuse. Contact information for attendees of this webinar, including email address, will be shared with the sponsoring firm. You will always have the opportunity to unsubscribe from email from that organization.