Cognitive Energy – Transforming Oil and Gas with AI and Robotics

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Cognitive Energy – Transforming Oil and Gas with AI and Robotics Report Overview

GlobalData’s latest Innovation Radar report ” Cognitive Energy – Transforming Oil and Gas with AI and Robotics” offers a compendium of real-world innovations in the oil & gas sector driven by AI and robotics. It delves into advancements that enhance efficiency, precision, and safety within the industry. The report emphasizes the transformative role of AI and robotics in predictive maintenance, drilling optimization, and emissions monitoring by highlighting real-world applications.

Additionally, the innovation radar report discusses use cases of trending topics such as generative AI-enhanced seismic data interpretation, and autonomous drones and robots for pipeline inspection. The report is indispensable for businesses looking to leverage advanced AI and robotics for a competitive advantage as it provides strategic insights and practical applications.

Key Sectors ·       Artificial Intelligence (AI)

·       Robotics

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AI in Oil and Gas

In the last four decades, the role of AI in the oil & gas sector has progressed from basic automation to advanced integrated systems, facilitating predictive maintenance, real-time monitoring, and autonomous operations, among other functions. This significantly boosts efficiency and safety standards in the oil and gas sector. AI is further transforming the oil & gas value chain through advanced exploration, optimized logistics, enhanced refining quality control, etc., leading to cost reductions and efficiency gains.

Asset management & monitoring, carbon reduction, and data analytics are among the key AI use cases within the oil and gas industry. Imrandd, ENEOS Corporation, Paxon Energy & Infrastructure, and Blockchain for Energy (B4E) are among the key innovators of AI in the oil & gas sector.

Key Innovators of AI in Oil & Gas

Key Innovators of AI in Oil & Gas

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Robotics in Oil and Gas

The integration of robotics in the oil & gas sector has transformed operations by enhancing safety, precision, and efficiency through advanced technologies like ROVs, AUVs, and AI-driven systems. This has paved the way for fully autonomous and optimized workflows. Robotics optimizes exploration, production, monitoring, refining, and transportation in harsh environments.

Robotics use cases within the oil and gas industry include aerial inspections, automatic refueling, and autonomous fleets, among others. Flyability, Kudan, Autofuel, and TotalEnergies are among the key innovators of robotics in the oil & gas sector.

Key Innovators of Robotics in Oil & Gas

Key Innovators of Robotics in Oil & Gas

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Scope

The report provides innovation examples by key AI and robotics use cases in the oil and gas sector.

Key Highlights

The report presents real-world innovation examples related to AI and robotics solutions in oil and gas. It casts light on enterprises and startups using AI and robotics in oil and gas across different operations and processes.

Reasons to Buy

  • No surprise that technology has been a driving force in business transformation for years, but the term ‘emerging technologies’ has suddenly become the key catalyst to drive the next wave of innovation across sectors.
  • The sense of urgency weighs differently across different sectors, where the direct customer-facing sectors are at the forefront compared to other capital-intensive sectors. Companies in one sector can take cues from successful innovations in other sectors to either draw analogies with existing products, services, and processes or transfer strategic approaches for a revolutionary transformation.
  • Against this backdrop, enterprises need to understand which emerging technologies are impacting their sector and how various companies are implementing them to meet various challenges.
  • The innovation landscape report on AI and robotics innovations in oil and gas, published by GlobalData as part of an ongoing series, covers some real-world examples to advance the development and implementation of the technology by some of the key enterprises as well as startups.

Abu Dhabi National Oil Company (ADNOC)
AIRMO
AIQ
AkerBP
Amperon
ANYbotics
Automation Anywhere
AviSight
Beagle Systems
Beta Tank Robotics
Blockchain for Energy (B4E)
Boston Dynamics
BP Plc
C3.AI
Canvass
Chevron
Cognite
Cosmo Oil Company
Corva LLC
Cygnus
Databricks
eDrilling
Embassy of Things (EOT)
Enverus
Equinor
Event 38
ENEOS
Flyability
Fugro
GE Vernova
Geminus
Gecko Robotics
Google
Halliburton
Hydromea
Imperial Oil
Imrandd
INEOS Energy
Intelliwell
Klarian
Kudan
Kystdesign
Microsoft
Nauticus Robotics
Nextgeo
Oil & Natural Gas Corporation (ONGC)
Orbital Sidekick
Paxon Energy
Petrobras
Preferred Networks
Process Vision
Rockwell Automation
Samsung Heavy Industries
Saudi Aramco
Shell
SLB
SparkCognition
Standard Chartered
Stinger Technology
TotalEnergies
Transocean
Unique Group
Weatherford
Yokogawa Electric

Table of Contents

1. Introduction

2. AI in Oil and Gas

2.1 Evolution

2.2 Value chain impact

2.3 Key use cases

2.4 Real-world innovations

2.5 What’s trending

3. Robotics in Oil and Gas

3.1 Evolution

3.2 Value chain impact

3.3 Key use cases

3.4 Real-world innovations

3.5 What’s Trending

4. Outlook & challenges

Frequently asked questions

Cognitive Energy – Transforming Oil and Gas with AI and Robotics standard reports
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