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Technology Convergence Impacting Oil and Gas Sector

出版商 Frost & Sullivan 商品編碼 921038
出版日期 內容資訊 英文 53 Pages
商品交期: 最快1-2個工作天內
影響石油及天然氣產業的技術融合 Technology Convergence Impacting Oil and Gas Sector
出版日期: 2019年12月26日內容資訊: 英文 53 Pages



第1章 摘要整理

第2章 技術融合:實現技術和應用環境

  • 幫助石油及天然氣產業轉型的數位技術
  • 技術融合影響石油及天然氣產業
  • 技術融合對石油及天然氣產業的影響
  • 影響技術導入的因素:製程優化、員工安全確保、預測性維護、效率
  • 技術導入阻礙因素:可靠性、工作流程因應能力、財政、基礎架構、整合

第3章 AI:影響評估與利害相關者創製

  • 探勘和開發中的AI
  • 石油及天然氣產業上游製程中的AI
  • AI應用:案例情況
  • 利害相關者的AI創製
  • AI影響分析
  • 最近AI導入創製:改善探勘和生產
  • 策略合作:推動AI進步以實現更佳石油精煉策略
  • 案例情況:石油及天然氣產業AI能力有效利用時間進行數據蒐集
  • AI活用展望

第4章 自主機器人:影響評估與利害相關者創製

  • 石油及天然氣產業中自主機器人的市場機會
  • 石油及天然氣產業中採用的機器人技術
  • 離岸石油及天然氣產業的主要機器人開發
  • 透過機器人技術的自動化影響範圍分析
  • 利用機器人技術的優點
  • 案例情況:自主型表面機器人實現極端環境下的安全運作
  • 透過機器人技術的自動化策略課題
  • 利害相關者創製:機器人合作鼓勵機器人採用
  • 利害相關者創製:維護和檢測相關行動機器人的開發

第5章 無人機:影響評估與利害相關者創製

  • 石油及天然氣產業中無人機的重要性
  • 無人機導入推動因素
  • 無人機應用
  • 無人機數據的利用
  • 供應鏈分析
  • 案例情況:無人機可於無法進入現場進行詳細分析
  • 案例情況:離岸鑽油平台的3D測量
  • 利害相關者創製:無人機導入的合作和最佳範例
  • 利害相關者創製:確保從業人員安全的無人機進步

第6章 技術預測□成長機會

  • 5年預測:未來的石油及天然氣產業
  • 策略合作:實現端對端客戶解決方案的開發
  • 以AI為基礎的軟體進步:實現根據充分資訊之決策

第7章 產業聯絡資訊

Product Code: D8FF

Artificial Intelligence, Robotics, Drones Drive Opportunities to Transform the Oil and Gas Sector

Digitization trends and automation technologies can significantly improve efficiency of processes and efficiency of oil and gas plants. This is owing to their ability to perform seamless operations and enable informed decision-making by means of data analysis using AI-based software analytics platforms. Conventionally, the oil and gas industry has adopted traditional technologies such as fixed wing aircraft and a human work force to monitor operations. However, this does not enable precise monitoring because manual inspections are prone to error. It is also increasingly difficult to inspect hazardous and cluttered areas. This has resulted in a need to adopt disruptive technologies in the oil and gas industry.

There has been a large amount of available information in the oil and gas industry which has not been processed over time and can potentially yield actionable insights when utilized effectively. Technology convergence in oil and gas sector has witnessed adoption of several technologies such as artificial intelligence (AI), robotic process automation, Big Data analytics, advanced sensor technologies, autonomous robots and drones, which can enable effective inspection of oil rig sites, corrosion and leaks monitoring, enable predictive maintenance of equipment thereby resulting in much higher efficiency. The technology and innovation report “Technology Convergence Impacting Oil and Gas Sector” covers enabling technologies driving the future of oil and gas sector. The report captures information on technology and application landscape, key stakeholder initiatives, and growth opportunities for technologies in smarter and modern workplace.

Key questions addressed in the innovation report:

  • What are the key emerging technologies that are likely to have a high impact on oil and gas sector?
  • What are the benefits and applications of the technologies enabling oil and gas sector?
  • How are organizations impacting the digitization trend in oil and gas sector?
  • What are some key use case scenarios showcasing impact of technology adoption?
  • Who are the major influencers and what are the recent technology initiatives?
  • What are future growth opportunities?

Table of Contents

1.0. Executive Summary

  • 1.1. Scope of Research
  • 1.2. Research Methodology
  • 1.3. Research Methodology Explained
  • 1.4. Artificial Intelligence, Emerging as One of the Key Technologies to Enable Digitization of Oil and Gas Sector
  • 1.5. Adoption of Emerging Technologies Has a High Impact on Improving Productivity

2.0. Technology Convergence - Enabling Technologies and Applications Landscape

  • 2.1. Digital Technologies Help Transform the Oil and Gas Industry
  • 2.2. Technology Convergence Influencing the Oil and Gas Industry
  • 2.3. Impact of Technology Convergence in the Oil and Gas Sector
  • 2.4. Factors Influencing Adoption of Technology - Process Optimization, Worker Safety, Predictive Maintenance, Efficiency
  • 2.5. Factors Hindering Adoption of Technology - Reliability, Readiness of Workflow, Fiscal Administration, Infrastructure, and Integration

3.0. Artificial Intelligence - Impact Assessment and Stakeholder Initiatives

  • 3.1. Artificial Intelligence is Transforming the Oil and Gas Industry with Applications in Exploration and Developments
  • 3.2. The Oil and Gas Industry Upstream Sector Process Using Artificial Intelligence
  • 3.3. Artificial Intelligence Applications - Use Case Scenarios in the Oil and Gas Industry
  • 3.4. Stakeholder Initiatives for Artificial Intelligence in the Oil and Gas Industry at Every Stage of the Process
  • 3.5. Impact Analysis of Artificial Intelligence in the Oil and Gas Industry
  • 3.6. Recent Initiatives in the Oil and Gas Industry to Adopt Artificial Intelligence Enabling Improved Exploration and Production
  • 3.7. Strategic Partnerships Promote Artificial Intelligence Advancements to Enable Better Oil Refining Strategies
  • 3.8. Use Case Scenario: Artificial Intelligence Capabilities in Oil and Gas Ensures Effective Use of Time for Data Collection
  • 3.9. Way Forward on Leveraging Artificial Intelligence in the Oil and Gas Industry

4.0. Autonomous Robots - Impact Assessment and Stakeholder Initiatives

  • 4.1. Opportunities for Autonomous Robots in the Oil and Gas Industry
  • 4.2. Robotic Technologies Adopted in the Oil and Gas Industry
  • 4.3. Key Robotic Developments for the Offshore Oil and Gas Industry
  • 4.4. Analysis of Areas of Impact Owing to Automation with Robotic Technologies
  • 4.5. Benefits of Leveraging Robotics in the Oil and Gas Industry
  • 4.6. Use Case Scenario: Autonomous Surface Robots Enable Safe Operation in Extreme Conditions
  • 4.7. Strategic Questions About Automation with Robotic Technologies that Impact the Oil and Gas Industry
  • 4.8. Stakeholder Initiatives - Robotics Collaborative Encourages Adoption of Robots in Oil and Gas Sector
  • 4.9. Stakeholder Initiatives - Mobile Robots Have Been Developed for Maintenance and Inspection

5.0. Drones - Impact Assessment and Stakeholder Initiatives

  • 5.1. Significance of Drones in the Oil and Gas Industry
  • 5.2. Factors that Enhance Adoption of Drones in the Oil and Gas Industry
  • 5.3. Applications of Drones in Oil and Gas Sector
  • 5.4. Uses of Drone Data for the Oil and Gas Industry
  • 5.5. Supply Chain Analysis of Drones in Oil and Gas Sector
  • 5.6. Use Case Scenario: Drones Can be Deployed in Inaccessible Areas at Oil and Gas Sites for Detailed Inspection
  • 5.7. Use Case Scenario: Drones Deployed for 3D Survey of Offshore Oil Rig Platform
  • 5.8. Stakeholder Initiatives - Partnerships and Best Practices of Drone Deployment in the Oil and Gas Industry
  • 5.9. Stakeholder Initiatives - Drone Advancements to Ensure Worker Safety

6.0. Technology Forecast and Growth Opportunities

  • 6.1. Five Year Forecast on Future of the Oil and Gas Industry
  • 6.2. Strategic Industrial Alliances are Enabling Development of End-to-end Customer Solutions
  • 6.3. Advancements in Artificial Intelligence-based Software Enable Informed Decision-making

7.0. Industry Contacts

  • 7.1. Key Industry Contacts
  • Legal Disclaimer