Best Practices: Managing and Scaling Innovation in Oil & Gas; AI & Data Analytics Case Studies

Price: Starting at USD 1,950
Publish Date: 30 Oct 2024
Code: PT-3303
Research Type: Presentation
Pages: 14
Best Practices: Managing and Scaling Innovation in Oil & Gas; AI & Data Analytics Case Studies
Actionable Benefits

Actionable Benefits

  • Identify innovative Artificial Intelligence (AI) and data analytics solutions that improve productivity and optimization of operations in the oil & gas market.
  • Understand how leading oil & gas companies are leveraging AI and data analytics to impact their operations.
  • Support the alignment of common challenges faced by oil & gas manufacturers with AI and data analytics solutions.
Critical Questions Answered

Critical Questions Answered

  • How are AI and data analytics solutions being utilized in the oil & gas market?
  • What are the current capabilities of vendors’ AI and data analytics solutions that serve the oil & gas market?
  • What sort of results can oil & gas companies expect to see from leveraging AI and data analytics solutions?
Research Highlights

Research Highlights

  • Introduction to use cases for AI and data analytics in the oil & gas sector.
  • Examples of deployments of AI and data analytics in the oil & gas sector.
  • Highlights of some notable AI and data analytics solution providers.
Who Should Read This?

Who Should Read This?

  • System Integrators (SIs) wanting to understand the deployment opportunities for AI and data analytics solutions in the oil & gas industry.
  • AI and data analytics providers looking to identify how competitors’ solutions are being deployed.
  • Information Technology (IT) and Operational Technology (OT) decision makers at oil & gas companies looking for ideas on how to digitally transform their operations.

Table of Contents

Key Findings

Key Forecasts

Key Companies and Ecosystems

Data Analytics & AI Solutions

The Impact of Quickly Pinpointing Pressure Drop Issues (Seeq & Western Midstream)

Global O&G Refiner Transforms Its Data into Increased Margin (Imubit & Leading Canadian Oil Refiner)

How Kelvin Combined Human Experience and AI to Deliver Autonomous Well Optimization and Control for Santos (Kelvin & Santos)

Refinery Saves up to US$10 Million/Year through Octane Giveaway Reductions with Canvass AI Octane Target Optimization (OTO) Solution (Canvass AI & Large North American Refiner)

Nippon Gases Prevents Unplanned Downtime and Extends Its APM Strategy with SymphonyAI’s Predictive Asset Intelligence (SymphonyAI & Nippon Gasses)

Predicting Overlooked Hydrocarbons in 5,000+ Wells Using AI (Earth Science Analytics, Norwegian Petroleum Directorate (NPD), and Net Zero Technology Centre)

Reducing Alarm Fatigue Upstream to Improve Pipeline Leak Detection (Emerson & International Oil Producer)