Hype Cycle for Oil and Gas Technologies, 2017


Archived Published: 08 August 2017 ID: G00314695

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Summary

Digital innovation has become a strategic priority for the industry in 2017. CIOs are responding, but are challenged by an overwhelming array of opportunities. This Hype Cycle can help CIOs create optimal plans by clarifying the business impact, maturity and risks of emerging digital technologies.

Table of Contents

  • Analysis
    • What You Need to Know
    • The Hype Cycle
    • The Priority Matrix
    • Off the Hype Cycle
    • On the Rise
      • Blockchain in Oil and Gas
      • Predictive Analytics and Postmodern ERP
      • Cloud HPC for Upstream Modeling
      • Augmented Reality/Virtual Reality in Oil and Gas
      • Analytics Governance
      • Digital Twin
      • Remote Operations
      • 3D Printing in Oil and Gas
    • At the Peak
      • API Economy
      • Prescriptive Analytics
      • Machine Learning
      • Integrated Planning and Operations
      • Internet of Things in Oil and Gas
      • Integrated 3D Asset Visualization
      • Data Lakes
      • Enterprise Information Management Programs
      • Predictive Analytics
    • Sliding Into the Trough
      • Integrated Upstream Asset Modeling
      • Upstream Modeling Suites
      • Field Mobility
      • IT/OT Integration
      • Cloud-Based Engineering Information Management
      • Portfolio Management Solutions
      • IT/OT Alignment
      • Sensor Fusion
      • Logical Data Warehouse
      • Operational Technology Security
      • Asset Performance Management
      • Production Surveillance Systems
      • Internal APIs
    • Climbing the Slope
      • Analytical In-Memory DBMS
      • Postmodern ERP Support
      • Real-Time Drilling and Completion
      • Autonomous Field Vehicles
      • Petroleum Economic Solutions
      • Hydrocarbon Accounting Platforms
    • Appendixes
      • Hype Cycle Phases, Benefit Ratings and Maturity Levels
  • Gartner Recommended Reading
© 2017 Gartner, Inc. and/or its Affiliates. All Rights Reserved. Reproduction and distribution of this publication in any form without prior written permission is forbidden. The information contained herein has been obtained from sources believed to be reliable. Gartner disclaims all warranties as to the accuracy, completeness or adequacy of such information. Although Gartners research may discuss legal issues related to the information technology business, Gartner does not provide legal advice or services and its research should not be construed or used as such. Gartner shall have no liability for errors, omissions or inadequacies in the information contained herein or for interpretations thereof. The opinions expressed herein are subject to change without notice.

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