University of Southern California Background Photo by NASA, date unknown Texas A&M University GIS for Oil and Gas: Big Data Opportunities in Research and.

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Presentation transcript:

University of Southern California Background Photo by NASA, date unknown Texas A&M University GIS for Oil and Gas: Big Data Opportunities in Research and Education Presented to: Big Data Symposium College Station, Texas Dr. Daniel W. Goldberg Department of Geography, Department of Computer Science & Engineering Texas A&M University

Texas A&M University 2 The Need Oil & Gas GIS Professionals – Needed across the spectrum Upstream Midstream Downstream Exprodat, 2015

Texas A&M University 3 Example: Flow & Accumulation ArcHydro, 2015

Texas A&M University 4 Example: Suitability Ranking Exprodat, 2015

Texas A&M University 5 Example: Collection, Processing & Organization SenseFly, 2015

Texas A&M University 6 The Problem Training Disconnects Between – G&G – Petroleum Engineering – GIS – Business Exprodat, 2015 Maturity Model Survey (n=20) 1 = Initial Implementation 5 = Everything in Place & Fully Optimized Software Disconnects Between – G&G – Petroleum Engineering – GIS – Business Epic Fail

Texas A&M University 7 The Solution Survey Industry – What hard/soft skills are most needed? – What hard/soft skills are most lacking? – What should be in an Oil & Gas curriculum Build a Program – Undergrad tract – Specialized MS – Industry Data/Systems/Problems Leverage Relationships – Assessment – Placements

Texas A&M University 8 Leveraging Partnerships [Data] [Skills] [Topics] [Software] [Approaches] Immersive | Realistic | Relevant Industry AcademicsAgencies LearnBuild Assess LearnBuild Assess

Texas A&M University 9 Commercial Public Proprietary Search & Retrieval Storage & Indexing Unified Schema Partner Federated Data Model Data Integration Data Browsing & Visualization Data Analysis & Exploration Analytical GIS & G&G Data Integration GIS & G&G Platform Integration Functional Oil & Gas Geographic Geologic Business Intelligence Decision Support Operational

Texas A&M University 10 Example Data – LAS Files LAS (Log ASCII Standard)

Texas A&M University 11 LAS Digitized – Unknown Structure

Texas A&M University 12 Goal – Data Analytics

Texas A&M University 13 Storage Solution RDBMS NoSQL/ Mongo

Texas A&M University THANKS FOR LISTENING Questions? Contact Information Dr. Daniel Goldberg Departments of Geography and Computer Science & Engineering Texas A&M University