Pipeline Integrity, Metallurgy & PHMSA
Executive Technical Fluency Guide. Organized around conversations, not calculations. A plain-language guide to integrity architecture, materials, ILI and NDE evidence, engineering assessment, and PHMSA context.
PRACTICAL DECISION TOOLS
Four SOUBEL resources work together as one decision sequence: understand the technical landscape, challenge what changed, compare credible choices, and carry the decision through execution and learning.
THE SOUBEL DECISION SYSTEM
The tools are designed for different moments in the same decision. Each named resource below leads first to its web framework page. The PDF is the downloadable working version.
Executive Technical Fluency Guide. Organized around conversations, not calculations. A plain-language guide to integrity architecture, materials, ILI and NDE evidence, engineering assessment, and PHMSA context.
10 Questions for a Defensible Decision. A concise sequence for testing the signal, evidence quality, operating context, interpretation, consequence, options, and reconsideration triggers.
Practical Decision Tool. Compare immediate expenditure, OPEX, downtime, remaining life, deferral exposure, emergency response, uncertainty, reversibility, and organizational capacity.
Working Decision Record. See It, Challenge It, Plan It, Hand It Off, Do the Work, Verify It, and Learn From It.
CONNECTED KNOWLEDGE
Resources support the working decision. The Knowledge Library supplies deeper context around the technical evidence, asset condition, digital information, and integrity questions behind that decision. Asset Integrity Management provides the wider management framework.
Go deeper into ILI, direct assessment, field validation, remediation, data, risk, and regulatory context.
CORROSION & CPExplore CP fundamentals, materials, surveys, interference, monitoring, corrosion-control evidence, and integrity context.
ASSET PERFORMANCEConnect asset health and operating context to maintenance strategy, economics, digital systems, and decisions.
DIGITAL & AIExplore the evidence beneath industrial AI, digital twins, data quality, sampling bias, and model confidence.
USE & RESPONSIBILITY
These materials support better questions, clearer handoffs, and more defensible decisions. They do not replace applicable standards, regulations, procedures, licensed engineering judgment, qualified technical authority, safety requirements, or legal advice for a specific asset or decision. Regulatory requirements can change; current primary-source requirements should always be verified.