asset visibility through data integrity · – graphics (charts, diagrams) • use graphics,...

Asset Visibility through Data Integrity

Matt Bayne | Access Midstream

Company Introduction Access Midstream

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Not only are the majority of our pipelines young, 85% are unregulated INTRA-state gathering/flow lines. Located in the continental United States, these assets cover a geologically and ecologically diverse area from New York to Wyoming and Ohio to South Texas.

A short history…

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Basic Standards / Adoption of Minimum Design Codes

Risk, Integrity, & Control Room Management / HCAs

Data Management & Records

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TODAY

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•Traceable •Verifiable •Complete

2001: Liquids (DOT 195) IM

2004: Gas (DOT 192) IM

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Liquids (195) IM first published 1996 Gas (192) IM published in 2002

Where is this trend headed?

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Basic Standards / Adoption of

Minimum Design Codes

Risk, Integrity, & Control Room

Management / HCAs

Data Management &

Records

Asset Visibility

RE-ACTIVE PRO-ACTIVE

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The trend is moving from re-active to pro-active. Pro-active asset and risk management requires asset visibility.

What is “Asset Visibility”? • A clear, accurate picture of the reality of physical

assets and their attributes which empowers proactive, efficient, and effective decision-making and operations

• Accurate, timely understanding of assets and how their existence affects profit and loss (potential & realized)

• Asset visibility enables better decision-making (garbage in, garbage out)

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We can all agree that asset visibility is a worthy goal with substantial value, but how do we get there?

How do we achieve Asset Visibility?

• Data Integrity – Data integrity is a

prerequisite to asset integrity

– Data should be viewed as a valuable and profitable asset, not simply as a potential liability

• Informed decision-making built on robust data integration

• Uncertainty is understood

Risk

• Continuous assessment • Preventive & mitigative

measures Integrity

• Continuous evolution of regulatory requirements

• DOT 192 / 195 Compliance

• Foundation of all compliance, integrity, and risk efforts Data Integrity

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If asset visibility is achieved through data integrity, how in the world to we achieve data integrity?

Why is Data Integrity so critical?

Data volume increases

Data quality degrades (without efforts to maintain)

Data losses • Acquisition &

Divestiture activity

• Employee turn-over

• Changes in information management philosophy

Data becomes more valuable and the cost to re-create becomes higher

Time

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What happens to data over time? It’s a time-dependent threat (gets worse over time with no mitigation / investment).

Achieving Data Integrity

Integration Visualization Interpretation Asset

Visibility

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If we’re convinced of the value of achieving data integrity to unlock asset visibility, how in the world do we get there?

Integration • Data integration provides

the context (macro view) • Data sets must be

compatible & consistent • Important to establish

data uncertainty & quality • Avoidance of duplication • Management of Change

critical to sustainability of integration

•Data mapping and ownership established

•QC processes •Capture data

once and at the source

•Question everything

Preventing Garbage In

•Have stakeholders build the template (don’t just build what you think they want to see)

• If we can’t explain the results then they’re not ready to share

Preventing Garbage Out

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How Access accomplishes this: Risk Engine integrates 600,000+ data points to pipeline centerlines. Provides valuable compare and contrast abilities. Unlocks ability to normalize data across all asset classes. Example: number of corrosion monitoring points per mile of pipe per operational area. Leans heavily on GIS / spatial data.

Example: Construction Caliper Runs

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Example: tying data back to assets enables valuable perspective on the nominal data (compare and contrast operational areas, compare to construction in each area).

Visualization

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• Using graphics, colors, and context to tell a story

• Choosing the best vehicle for communicating your data – Tabular (rows & columns) – Narrative (prose) – Spatial (maps) – Graphics (charts, diagrams)

• Use graphics, colors, and context to tell a story

• Paradigm shift – Use visualization to better

understand your own data

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How Access accomplishes this: heavy use of charts & graphs. Utilize data visualization / reporting tools (Spotfire by Tibco, Oracle Business Intelligence, Excel charts, maps, etc…).

Example: Data Integrity Risk Results

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Example: data integrity risk module results plotted on probability versus consequence graph and colored by operational area with constant risk lines. Each point is a pipeline.

Interpretation

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• How should we feel about the results? • How do they compare (benchmarking

& trending)? • We (usually) understand the data

better than our audience, don’t assume they understand what the results mean

• Our audience wants to know: – Can this benefit me? – Is this creating more work for me? – Is there an immediate need or can I

ignore this information for now? – Where does this fit in my prioritized

work list? – Is action required on my part?

• Example: – “We have 100 pipelines with

no listed outside pipe diameter.”

• How should I feel about this news?

• Does this matter to me right now?

• How could additional context change this news?

• What action do I need to take?

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How Access accomplishes this: we ensure that recommendations / next steps accompany our presentation of the results. We use colors to communicate results (stop lights = red, orange, yellow, green).

Example: % Integrity Conditions Past Due

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Example: data trended with target shown on chart for % of conditions past due. Inclusion of the target line lets the audience know how to feel about the values on the chart.

Review: Achieving Data Integrity

Integration

Data integration provides the context

(macro view)

Visualization

Using graphics, colors, and context to tell a

story

Interpretation

How should we feel about the results?

How do they compare (benchmarking &

trending)?

Asset Visibility

Enhanced Decision-Making Capabilities

Lessons Learned • Enlist sponsorship (buy-in)

– Executive Summary ensures alignment around the vision

– Culture and timing must be right for full acceptance

• Prove that we can do it – Deliver a product (Proof of Concept) that

meets or exceeds the sales pitch (Executive Summary)

• Implement in phased approach to ensure long-term success – Critical to have something to show early

on – Learn from mistakes as you go – Minimizes negative impact to organization

Executive Summary

Proof of Concept

Phased Results

Final Thoughts • Leadership:

– Identify the end users and stakeholders of our data and assign responsibility for the data’s quality and maintenance as a valuable asset

• Transparency: – Fearlessly examine our data and

processes – instill in our company culture the importance of visibility into our assets

• Inspiration: – Exploit the data limitations and lessons

learned from our legacy assets to galvanize the team towards proactive management for all assets

Leadership

Transparency

Inspiration

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Now that we’ve made the case for asset visibility through data integrity and highlighted several techniques, let’s conclude our conversation with a vision of how to move ourselves and our industry from reactive to proactive. We believe that leadership, transparency, and inspiration are key to achieving this goal.

asset visibility through data integrity · – graphics (charts, diagrams) • use graphics,...

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