Event Overview
This workshop provides operations and maintenance engineers, and field technicians in pipeline companies with the knowledge to establish and manage an intelligent pigging program that contributes optimum value toward improved pipeline integrity.
Attendees will receive 15 Professional Development Hours upon completion
Learning Objectives:
Learn the basics of in-line inspection (pigging), including
- operation considerations including launching, tracking and receiving,
- pipeline cleaning for better ILI results,
- the technology behind deformation, mapping, corrosion and crack detection ILI tools, and
- an introduction to viewing and verifying ILIL results.
Who Should Attend
Operations and maintenance engineers and technicians who participate in in-line inspections using intelligent pigs.
Meet the Instructors:
Bruce Nestleroth
Bruce Nestleroth has been focused on pipeline inspection applications for most of his career, working at Battelle and Kiefner. In the 1990s, he worked to demonstrate the fundamental principles of magnetic flux leakage (MFL) and other in-line inspection (ILI) technologies at Battelle’s Pipeline Facility. He then advanced magnetic and ultrasonic sensors for in-line inspection technology for the detection and assessment of mechanical damage and cracking. His current professional goal is to understand the capabilities and limitations of ILI technology on difficult to characterize pipeline defects, and to apply that knowledge to help operators improve pipeline reliability and ILI vendors improve their tools. Bruce has developed and regularly conducts training courses and workshops on pipeline inspection technology. He also is a member of the API committees that develop the standards on pipeline inspection and cracking.
Dane Burden, Senior Technical Advisor, T.D. Williamson’s Data Science department
Since 2005, Dane Burden has fulfilled several roles including, Level III Data Analyst, Product Manager and Data Solutions Developer. He currently provides support for the development of anomaly detection, identification and sizing algorithms as well as specialized integrity services.
Nicholas C. Landon, Account Manager, N-SPEC Alliance
Fifteen plus years of progressive experience in pipeline maintenance/integrity, inside/outside sales, project management for pipeline systems in accordance with 49 CFR Part 192 and 195 requirements.
TDW Field Tracker, AGM Site Surveyor, Cleaning Technician, Field Supervisor – started in the field to learn and gain experience from the ground up to learn/understand business. Moved to inside sales and project management to provide project scopes/pricing along with managing projects from beginning to end.
N-SPEC Account Manager, which focused on finding new business opportunities while growing services within our existing customer base. Provide presentations on N-SPEC capabilities and specific applications to meet the needs of customers.
Rusty Jackson, Manager, Quality & Training Manager (Quest Integrity)
Mr. Jackson has been with Quest Integrity Group for 8 years and has over 30 years of In-Line Inspection and pipeline experience. He has held a multitude of roles within the pipeline inspection industry. His experience in the Oil and Gas industry includes ILI Program Management, ILI Operations Manager, Unpiggable Inspections, Pipeline Mapping, Quality, Training, & HSE Manager.
Tod Barker, Senior Product Manager, TD Williamson
Tod is currently the Corrosion, Geometry, Mapping, and Customer Facing Software Product Line Manager with TD Williamson. Tod has more than 15 years of experience in the Pipeline industry, including leading the design of more than 10 In-line Inspection tools. Tod is a co-inventor of the SpirALL® MFL inspection tool design patent. He is also a Certified Product Manager (CPM) through the Association of International Product Marketing & Management (AIPMM).
Callie Lamb, Modeling Analyst in Data Science Engineering, TD Williamson
Callie started in 2014 as an ILI Data Analyst and has held various roles including Level III Data Analyst, Data Analysis Team Lead, and Client Lead. She currently supports model development for machine learning and sizing and provides Data Science support to Data Analysis. Callie enjoys the process of learning, especially if she can get her hands dirty.
