Matt Landry

Matt Landry

Houston, Texas, United States
1K followers 500 connections

About

Specialties: Infrastructure Risk Modeling, Pipeline Integrity Engineering, GIS…

Activity

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Experience

  • Kinder Morgan, Inc. Graphic

    Kinder Morgan, Inc.

    Houston, Texas, United States

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    Washington D.C. Metro Area

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    Houston, Texas Area

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    Oklahoma City, Oklahoma

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    Oklahoma City, Oklahoma Area

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    Redlands, California

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    Baton Rouge, Louisiana

Education

  • Louisiana State University Graphic

    Louisiana State University

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    Activities and Societies: American Association of Geographers

    2007 - B.A. in Philosophy
    2009 - B.A. in Geography

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Publications

  • A Web-Based Solution for Collection, Validation and Storage of Corrosion and In-Line Inspection

    Pipeline Open Data Standard

    A unique and cost effective web based data loading solution for In-Line Inspection and Corrosion data to automate the support of pipeline integrity assessments.

    See publication
  • Building Spatial Decision Support Systems for Natural Gas Pipeline Risk

    Safe Software - FME World Tour

    Access Midstream requires a pipeline risk model that can manage processing spatial and non-spatial data for over 6,500 miles of pipeline across 7 different states. The model needs to accurately calculate the probability of pipeline failure and the potential consequences to the environment, the public, and to operations. This presentation describes the technical challenges in building the solution and what specific transformer methods in FME were used to overcome those challenges. Examples…

    Access Midstream requires a pipeline risk model that can manage processing spatial and non-spatial data for over 6,500 miles of pipeline across 7 different states. The model needs to accurately calculate the probability of pipeline failure and the potential consequences to the environment, the public, and to operations. This presentation describes the technical challenges in building the solution and what specific transformer methods in FME were used to overcome those challenges. Examples include managing memory allocation, parallel processing strategies, and incorporating smart pig (ILI) data.

    See publication
  • Building a Risk Based Spatial Decision Support System for Midstream Shale Gas Assets

    Calgary, Canada - American Society of Mechanical Engineers

    In order to support its goals of zero incidents through risk-based asset management, Access Midstream (Access) requires a solution for providing decision support by modeling integrity threats that indicate potential safety and environmental incidents on all of its pipeline assets. The objective is to tailor existing pipeline risk methods to properly account for the unique conditions inherent to midstream gathering assets while still being flexible enough to account for traditional gas…

    In order to support its goals of zero incidents through risk-based asset management, Access Midstream (Access) requires a solution for providing decision support by modeling integrity threats that indicate potential safety and environmental incidents on all of its pipeline assets. The objective is to tailor existing pipeline risk methods to properly account for the unique conditions inherent to midstream gathering assets while still being flexible enough to account for traditional gas transmission and liquids transportation lines.

    Access has designed a decision support system that automatically retrieves and integrates data, estimates risk with directly and indirectly related inputs in its algorithm, and disseminates the data to business users across the enterprise. The processing model is calibrated for risk assessment and is capable of distinguishing between high and low risk lines. It is able to generate results that can be understood and upon which appropriate action can be taken. These results are refreshed monthly as new assets are constructed or purchased and existing asset attributes are updated. Access’ decision support system is repeatable and scalable owing to maximum use of automated processes.

    The focus of this paper is to outline Access’ approach to building a risk assessment solution for its pipeline assets. Each component of the RB-SDSS is reviewed: (1) Data Integration, (2) Risk Modeling, and (3) Organizational Utilization. This includes strategies for assessing traditional pipeline threats, geospatial techniques used to infer data, how to assess data quality and completeness, challenges, lesson’s learned, and future improvements.

    Other authors
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Courses

  • AWS CodeDeploy

    Udemy

  • Advanced Pipeline Risk Management

    Clarion

  • ArcGIS Desktop II: Tools and Functionality

    Esri

  • Building Geodatabases

    Esri

  • Cost Management

    Petroskills

  • Defect Assessment in Pipelines

    Clarion

  • Introduction to ArcGIS Server

    Esri

  • Introduction to the Multi-User Geodatabase

    Esri

  • Networking for Amazon's AWS Cloud

    Udemy

  • Pipeline Pigging and Inspection

    Clarion

  • Professional Sales Negotiations

    Achieve Global

  • Professional Selling Skills

    Achieve Global

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