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  • Establishing a Pipeline GIS - Developing a Data Collection

    Strategy Kevin Miller

    Summit Midstream Rockies GIS Technician

  • Summit Overview Growth-oriented midstream company focused on developing and

    acquiring strategically located midstream infrastructure in unconventional resource basins.

    Own and operate approximately 2,660 miles of natural gas and crude oil

    gathering pipelines

    Headquartered in Dallas, TX Operations

    Piceance Basin Western CO Niobrara Shale Northern CO Barnett Shale Dallas-Fort Worth, TX Bakken Shale North Dakota Marcellus Shale West Virginia

  • Two acquisitions totaling 1,700 miles of pipeline in the Piceance Basin

    Acquired two GIS databases with

    overwhelming amount of centerline inaccuracies and very limited attribute data

    Outdated / inaccurate field maps Lack of GIS support and

    anticipated growth prompted Summits need for a GIS Tech.

    A Need for GIS Support

  • Importance of an Accurate GIS Pipeline Database

    One Call Coverage to Prevent Line Strikes Engineering and Modeling Field Efficiency Pipeline Mileage Land Team / ROW Regulatory Business Development Decisions Strategy / Planning Cannot Share Inaccurate Data

  • Original Pipelines Corrected Pipelines

  • Original Pipelines Corrected Pipelines

  • Original Pipelines Corrected Pipelines

  • Original Pipelines Corrected Pipelines

  • Challenges Existing Gathering System (50+ years old)

    Work with what is handed to you Unknown data source

    Time Frame / Consumption Dissecting the job books Choosing a Data Model Data collection limitations on re-survey of buried pipeline Conflicting information from operators

  • Correcting and Populating the Databases Phase 1 (What do we have and where is it?)

    - Manually correct all centerline inaccuracies - Populate all pipelines with name and correct diameter - 2D to 3D using a DEM for more accurate pipeline lengths

    Phase 2 (Additional / Offline Pipeline Equipment) - Identify all valve yards and in-line block valves for ER concerns - Identify launcher / receiver locations for pigging operations - Intersect roads and streams layers with pipelines to establish crossings/bores

    Phase 3 (Attribute Data) - Alignment Sheets - Job Books - As-built Files - Operators

  • Correcting and Populating the Databases Phase 4 (Re-survey / Data Collection)

    Trimble GeoXH6000 Centimeter Accuracy Floodlight Technology GLONASS and GPS Wireless Connectivity 5 megapixel camera

    Field-verify centerlines (prioritize by confidence level) Collect all missing valves, launchers, receivers, and meters Data Dictionaries used on re-survey helped define Summits data collection

    standard moving forward.

  • Why Use a Data Model?

    Trusted Source of Information Improves Data Quality and Reliability Regulatory Issues Accurate Data Sharing

  • Data Model Creation New Construction Alignment Sheets + MTRs + As-built Documents + Operators Knowledge + Data Dictionaries + Wish List

    = SUMMIT 1.0 Data Model

  • Sharing Our GIS - Paper Maps

  • Sharing Our GIS - Paper Maps

  • Web Map Demo / Video

  • Something Out of Nothing - Original Attributes Diameter Length Name

  • Something Out of Nothing - Corrected Attributes Diameter Length Feet Length Miles Name Wall Thickness Grade MAOP HTP Coating County AFE Code

  • New Construction

    Segment Attributes Diameter 3D Length Wall Thickness Grade Coating Begin Measure End Measure Mill Test Pressure Heat # Joint # Slope

    Establishing a Pipeline GIS - Developing a Data Collection StrategySummit OverviewA Need for GIS SupportImportance of an Accurate GIS Pipeline DatabaseSlide Number 5Slide Number 6Slide Number 7Slide Number 8ChallengesCorrecting and Populating the DatabasesCorrecting and Populating the DatabasesWhy Use a Data Model? Data Model Creation New ConstructionSlide Number 14Slide Number 15Web Map Demo / VideoSomething Out of Nothing - OriginalSomething Out of Nothing - CorrectedNew Construction

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