Date(s) - Apr 06, 2021 - Apr 15, 2021
All Day CST
Exhibitor (virtual event)
The Banff Pipeline Workshop is one of the industry’s premier gathering of Transmission, Midstream and Upstream pipeline operators from across North America to support sharing of technical knowledge and best practices for safe and reliable operations across the pipeline asset lifecycle. The Dynamic Risk team will be participating in this important event through a variety of activities.
We are pleased to participate in the following Working Groups and Tutorials:
Tutorial 1 (WG7) Risk Management: Pipeline Risk Assessment Fundamentals
Wednesday, April 7, 9:00 AM – 10:30 AM
This tutorial is designed to provide participants with a basic understanding of Risk Assessment (as a component of Risk Management) in preparation for active participation in Working Group 7, Pipeline Risk Management. This tutorial will provide a brief overview of pipeline risk assessment key concepts, approaches and considerations.
- Risk Definitions and Concepts
- Pipeline Risk Assessment Concepts
- Guidance from Standards
- Pipeline Risk and Reliability Modeling
- Risk Presentation Methods
- Risk and Reliability Acceptance Criteria
- Integrating Risk Results into Integrity Management
Presenter: Dan Williams, Principal Consultant, Technical Services
Working Group 7: Pipeline Risk Management:
Session A: Major Changes of CSA Z662 Annex B
Monday, April 12, 10:45 AM – 12:15 PM
The CSA Z662:19 Standard Oil and gas pipeline systems is currently being reviewed by a CSA task force comprised of industry stakeholders, with proposed changes for Risk Assessment guidance targeted for incorporation in the 2023 Standard. Annex B of the Standard (Guidelines for risk assessment of pipeline systems) has a variety of proposed changes that are in progress. These include but are not limited to the following:
- Provide clarity on the distinguishing factors between quantitative vs. qualitative risk assessments;
- Provide specific quantitative Safety Risk acceptance criteria for both Individual Risk and Societal Risk for quantitative risk assessments;
- Provide specific quantitative Environmental Risk acceptance criteria for quantitative risk assessments;
- Incorporate As Low As Reasonably Practicable (ALARP) concepts into risk assessments; and,
- Provide guidance on how individuals might establish their own risk acceptance criteria or apply risk acceptance criteria to qualitative approaches.
A high level overview of the proposed changes will be presented, then a couple of operators who have been testing out the proposed criteria will be sharing their experience and learnings.
An integral part of risk management is data quality. While different operators might have risk models of various sophistication levels, one of the common industry challenges is data management and governance. The second part of this session will focus on the challenges associated with data quality evaluation; this can include process maturity, defining data quality and its impact on risk results, identification and prioritization of gaps and ultimately development of risk optimized action plans addressing these data challenges.
Session B: Data Quality and How Data Quality Issues Impact QRA
Tuesday, April 13, 2:45 PM – 4:15 PM
One of the categories by which data quality is assessed is pragmatic, or fitness-for-use, quality. It means the degree to which data is appropriate and useful for a particular purpose of data consumers. In particular, the data output from Risk Analysis should provide actionable results to pipeline operators and decision makers.
In this Session we will discuss what actionable results mean, focussing on advantages of actionable results over merely descriptive results. In particular, actionable analysis results enable efficient reasoning about the actual reality that underlies the data, as opposed to limited reasoning about the data itself.
A deeper insight into the risk domain, stemming from actionable analysis results, allows for a focussed identification and optimal prioritization of preventive and mitigating measures, based on specific overall objectives of a decision maker (e.g., a requirement to meet an overall risk target over time, or to predict dominant driving causes of failures of concern). The reasoning based on actionable analysis results can proceed systematically from effects to causes, thus supporting human reasoning and problem-solving in complex risk domains.
The type of Risk Analysis that produces actionable, not merely descriptive, output must be based not only on input data, but—crucially—on a conceptual model in which known (or assumed) causal dependencies among the elements of the risk domain are quantitatively and rigorously encoded. The discussion in this WG7 Session will thus also include consideration of three general types of models that could be incorporated into risk analyses: deterministic, probabilistic, and causal models.
Who Should Attend?
This session should be attended by engineers, managers and service professionals who are involved with pipeline risk assessment and management.
- Samah Hasan- Dynamic Risk
- Terry Huang – TC Energy
- Hong Wang – CER
We also will be participating as a virtual exhibitor and will be showcasing the latest features and functionality of our Pipeline Integrity Management Software Solutions. We look forward to connecting with you at our online booth or catching up on the virtual networking chat forum.
Please stay tuned as additional details, dates and times are confirmed which will be released soon. To learn more about how our services and solutions can assist you with your risk and integrity management programs and to be connected with one of our experts, please contact Tracey Murray at email@example.com