Date(s) - Sep 26, 2022 - Sep 30, 2022
All Day MST
Telus Convention Centre
Presenting, Sponsoring & Exhibiting
Dynamic Risk will be participating and hosting a variety of activities in conjunction with ASME’s International Pipeline Conference (IPC) taking place in Calgary, AB from September 26 – September 30, 2022.
The International Pipeline Conference is designed to inform, enlighten and motivate! Since its inception in 1996, it is organized by volunteers representing international energy corporations, energy and pipeline associations, and regulatory agencies, the IPC has become internationally renowned as the world’s premier pipeline conference. This is a not-for-profit conference and proceeds continue to support educational initiatives and research in the pipeline industry.
Dynamic Risk will be taking the stage in the Data Analytics Part II Session held Wednesday, September 28th.
Steve Biagiotti, Jr. MSc. P.E. – Chief Engineer
10:30am MST | Overcoming Challenges for Quantitative Risk Modeling Using Machine Learned Data Correlations and Predictive Modeling
After 20 years of learnings and successful risk reduction, the pipeline industry is striving to achieve the next step change in risk performance by migrating from relative index-based risk models toward probabilistic approaches across all threats and all pipeline segments for system-wide risk assessment. While the quantification of pipeline risk can be readily supported by in-line inspection (ILI) results coupled with probabilistic limit state modeling for certain threats where this information is available, where such data is lacking for other pipeline segments or threats, it is necessary to apply a meaningful methodology to establish the probability of failure for all dynamic segments used to quantify risk. The presentation will propose strategies for classifying assets, other than indexing, for application in those situations where machine learning does not indicate statistically significant variable correlations or yield strong predictions of target outcomes. Although seemingly straightforward, several challenges exist in achieving seamless implementation.
Pushpendra Tomar – Principal Consultant
11:00am MST | A Structured, Systematic Threat Based Approach to Evaluate and Improve Data Quality to Facilitate Digital Transformation
Pipeline operators are rapidly and increasingly moving towards digital transformation in order to harvest efficiencies and achieve higher levels of reliability and safety. Fueled by advances in technology such as cloud computing and machine learning, data is considered a key asset, and pipeline operations are increasingly driven by information and analytics. However, successfully achieving a digital transformation toward reliable and high-quality data requires mature processes for obtaining, managing, evaluating, and continuously improving data quality.
Data quality is essential for the use of historical data, interoperability across various data systems, and the generation of useful analytics. The data quality process maturity (process maturity) evaluation aims to assess all processes, capabilities, and governance required for ensuring high data quality. As a result, the Operator decided to rigorously evaluate their data quality and the maturity of data quality processes.
The process, as developed, leverages guidance provided in ISO (8000-8) for data quality assessment and DNVGL-RP-0497 for process maturity evaluation. This paper presents a step-by-step approach developed for and successfully employed by the Operator as applied to pipeline integrity threats.
Presentation – Root Cause Analysis of Pipeline Failures
Phillip Nidd, VP, Technical Services
Monica Porter, Engineer
The objective of a Root Cause Analysis (RCA) is to determine the direct cause and root cause(s) of an unexpected event (such as a pipeline operational failure or product release), identify the contributing factors, and provide recommendations that when implemented, will be effective in preventing recurrence of this type of failure. This tutorial will describe many of the different tools, processes, and philosophies for conducting a complete RCA. Discussed is how the application of such industry tools as “TapRooT”, “Fault Tree” and “MORT” during the RCA process can provide consistency and reliability in defining best practice benchmarks. Also provided as a learning tool and to promote open discussion are examples of root causes from pipeline incident investigations conducted over several years by the Tutorial Leaders. Finally, the challenges and problems associated with the RCA process and the development of truly actionable findings will be discussed.
Dynamic Risk will be exclusively sponsoring Technical Track 7: Risk and Reliability.
This track will feature presentations and case studies focused on risk and reliability assessments, qualitative and quantitative risk modeling, risk-based maintenance planning, reliability-based design and assessment, reliability assessment methodology, uncertainty propagation in risk and reliability analysis, data analysis for statistical distribution modeling, and for likelihood predictions.
Sponsor – Dynamic Risk will be participating in the International Pipeline Exhibition.
We will also be participating as an Iron Sponsor, located at booth # 417. Our team of pipeline integrity SMEs will be on-site to showcase our latest technology-enabled solutions and applications that best meet the needs of Transmission, Midstream, and Upstream operators for reliability-based pipeline asset integrity management.
Recharge and grab a refresher at our coffee bar while our team provides live demonstrations of our IRAS software application suite.
If you would like to be connected with one of our participating team members, please contact Tracey Murray at: email@example.com.