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市場調查報告書

連網油田服務市場

Connected Oilfield Services Market

出版商 Frost & Sullivan 商品編碼 371830
出版日期 內容資訊 英文 111 Pages
商品交期: 最快1-2個工作天內
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連網油田服務市場 Connected Oilfield Services Market
出版日期: 2016年09月26日 內容資訊: 英文 111 Pages
簡介

全球油田服務市場受到最近的原油價格下跌影響,技術投資面臨了停滯的窘況。即便如此效率性的改善依然對業界而言是重要的課題,如何活用IT技術來解決問題至為重要。因此今後市場仍被視為具有非常大的機會。

本報告針對全球油田服務市場中,連網技術(連接網路技術)的活用狀況與未來預測進行分析,調查並探究油田服務業界現正面臨的主要挑戰、各種連網技術的對應策略、具體事例、對整體業界及相關業界的影響等內容,彙整提供如後。

第1章 執行摘要

第2章 前言:分析範圍、市場區分

  • 分析範圍
  • 產品定義

第3章 商業上的課題:缺乏效率所暴露的弱點

  • 油田服務的定義
  • 弱點 (1):設備的可用度
  • 弱點 (2):核心服務的成本
  • 弱點 (3):營業利潤率的維持
  • 油田產業中結構的變化
  • 為何油田需要智慧服務?
  • 生態系統:市場主要企業

第4章 成長機會:有反應並連網的油田服務需求

  • 技術融合克服效率的缺乏
  • 連網油田服務:現實定義
  • 連網油田服務的深層結構
  • 石油產業所面臨的課題與業界連網狀況
  • 連網油田服務:多層式IT-OT建設
  • 連網油田服務:完全整合的數位油田
  • 連網油田服務:成長機會
  • 智慧油田的成果:通量的效率改善
  • 產業合作促進效率改善
  • 使用事例 (1):生產效率 - BP + GE Predix的事例
  • 使用事例 (2):預測性設備管理 - IBM Smart Solutions的事例
  • 使用事例 (3):設備性能 - Schlumberger + Cameron的事例
  • 使用事例 (4):生產成本效率 - SAP SE + Mobility的事例

第5章 策略與考察 (1):連網平台解決方案

  • 為了克服弱點,油田服務與平台的整合行動
  • 數位油田的構成要素
  • 課為了克服弱點,油田服務推動革新
  • 油田服務導入平台的影響
  • 平台的重要角色 - 油田服務相關企業的結合
  • 單一平台:新需求的出現
  • 生態系統:市場的主要企業
  • 生態系統:企業合併、收購(M&A)
  • 使用事例 (1):GE - 作為綜合服務供應商的地位
  • 使用事例 (2):Halliburton - 為了增加回收的最佳化而活用的雲端服務

第6章 策略與考察 (2):服務事業佔製造商受益的五成

  • 智慧解決方案以結合油田服務設備
  • 油田總機:原油價格的下跌打擊了傳統事業模型,並促進了往新商業模型的轉移
  • 設備製造商的商業模型轉換
  • 設備製造商應該怎麼做?
  • 設備製造商轉換商業模型的好處
  • 資產層級與分析服務的提供
  • 使用事例:Chevron - 透過預測性維護進行監控

第7章 策略與考察 (3):資本及設備的非效率性促使組合轉變

  • 油田營運商的自動化相關短期目標(前五名)
  • 油田營運商對自動化企業所抱持的期待
  • 技術及領域專長從MAC轉成MIC
  • CAMP指數:自動化分類
  • 自動化組合的拓展促進了智慧商業
  • 油田領域中自動化公司的合併與收購
  • 業界合作促使組合拓展
  • 使用事例 (1):市場動向的變化 - 核心自動化移往分析
  • 使用事例 (2):新市場結盟的形成 - 分析PaaS
  • 使用事例 (3):預測性分析協助降低故障與停機

第8章 策略與考察 (4):連網VA(虛擬助理)平台的出現

  • 油田產業中IT應用程式的進化:人工智慧的普及
  • 油田服務中的機械學習(ML)及人工智慧的出現:適時且具破壞性
  • 價值鏈整體的AI及VA活用
  • 商業模型的轉換:從雲端到AI
  • AI成位新的「現實」
  • 油田服務的AI建設
  • 油田內部神經網路的強化
  • 經由連網運算達成最佳化
  • 油田服務的ML應用
  • 業界合作促進了AI普及
  • 使用事例 (1):AI協助貯存槽的管理
  • 使用事例 (2):複雜油田的產量最佳化
  • 使用事例 (3):AI與油田服務的融合
  • 使用事例 (4):Repsol與IBM - 認知技術方面的合作
  • 使用事例 (5):使用新領域的技術,發現新的油源
  • AI及ML的生態系統

第9章 主要建議內容

第10章 附錄

第11章 關於Frost & Sullivan

目錄
Product Code: MC68-14

Disrupting a $250 Billion Market, a Fragmented Ecosystem Looks at Convergence Amid Volatile Oil Prices

The recent decline in oil prices has put the brakes on a few technology investments; however, it has also created a need for greater efficiency in the oil and gas sector. Most oil and gas companies are operating assets in challenging conditions across multiple regions. Ensuring operational efficiency through the greater use of technology is therefore of paramount importance, and this research service highlights future solutions that could help achieve greater efficiency.

Table of Contents

1. EXECUTIVE SUMMARY

  • Top 5 Things a CEO Should Know
  • Executive Summary
  • 5 Trends that Define the Future of the Market
  • The Next Big Thing(s) in the Market
  • Snapshot of Top Opportunities for AI in the Oil and Gas Industry
  • Convergence of People, Process, and Technology Creates a Vortex of Change
  • Connected Oilfield Services-Game Changers and Their Impact on Future Landscape
  • Associated Research and Multimedia on Energy and Environment

2. INTRODUCTION-SCOPE AND SEGMENTATION

  • Scope of the Study
  • Product Definitions
  • Product Definitions (continued)

3. BUSINESS ISSUE-INEFFICIENCIES EXPOSE PRESSURE POINTS

  • Oilfield Services Definition
  • Oilfield Services Definition (continued)
  • Pressure Point 1-Asset Availability
  • Pressure Point 1-Asset Availability (continued)
  • Pressure Point 2-Cost of Core Services
  • Pressure Point 3-Protecting Operational Margins
  • Tectonic Shifts Witnessed in the Oilfield Industry
  • Why do Oilfields Need Smart Services?
  • Ecosystem-The Who's Who of the Market

4. GROWTH OPPORTUNITIES-DEMAND FOR RESPONSIVE AND CONNECTED OILFIELD SERVICES

  • Technology Convergence Trends to Drive Out Inefficiencies
  • Defining the Reality of Connected Oilfield Services
  • Connected Oilfield Services-Deep Architecture; Wide Structure
  • Challenges Faced by the Oil Industry and its Connectedness
  • Connected Oilfield Services-Multi-level IT-OT Architecture
  • Connected Oilfield Services-Totally Integrated Digital Oilfield
  • Connected Oilfield Services-Growth Opportunities 1
  • Connected Oilfield Services-Growth Opportunities 2
  • Outcomes of Smart Oilfields-Driving Throughput Efficiencies
  • Industry Partnerships Drive Oilfield Efficiencies
  • Use Case 1-Production Efficiencies - BP + GE Predix
  • Connected Oilfield Services Impact Predictive Asset Management
  • Use Case 2-Predictive Asset Management - IBM Smart Solutions
  • Connected Oilfield Services Need a Pore-to-Pipeline Portfolio
  • Use Case 3-Asset Performance - Schlumberger + Cameron
  • Use Case 3-Asset Performance - Schlumberger + Cameron (continued)
  • Use Case 3-Asset Performance - Schlumberger + Cameron (continued)
  • Connected Oilfield Services Impact Production Cost Efficiencies
  • Use Case 4-Production Cost Efficiencies - SAP SE + Mobility

5. STRATEGY AND INSIGHT 1-CONNECTED PLATFORM SOLUTION

  • Industry Pressure Points Drive Consolidation in Oilfield Services Platforms
  • Elements of Digital Oilfield-Bringing Together the Siloes
  • Industry Challenges Fire Innovation in Oilfield Services
  • Implications of Platform Adoption for Oilfield Services
  • Platforms Play a Key Role in Connecting Oilfield Services Stakeholders
  • Single Platform is the New Need
  • Ecosystem-The Who's Who of the Market
  • Ecosystem-Mergers and Acquisitions
  • Use Case 1-GE and its Positioning as a Full Stream Service Provider
  • Use Case 1-GE and its Positioning as a Full Stream Service Provider (continued)
  • Use Case 1-GE and its Positioning as a Full Stream Service Provider (continued)
  • Use Case 2-Halliburton Utilises Cloud Services to Optimise Recovery

6. STRATEGY AND INSIGHT 2-50% OEM REVENUE FROM SERVICES

  • Smart Solutions to Connect Oilfield Service Equipment
  • Oilfield Operators-Low Commodity Prices Challenge the Traditional Business Model and Drive New Business Models
  • Transforming the Business Models of Equipment Manufacturers
  • What Should Equipment Manufacturers Do?
  • Business Model Transformation Benefits to OEMs in the Oilfield
  • Asset Classes and Analytical Services Offered (Partial Listing)
  • Use Case-Chevron Monitors Performance by Predictive Maintenance

7. STRATEGY AND INSIGHT 3-CAPITAL AND ASSET INEFFICIENCY DRIVE PORTFOLIO TRANSFORMATION

  • Top 5 Objectives of Oil Operators in the Short Term for Automation
  • Oilfield Operator Expectations from Automation Companies
  • Technologies and Domain Expertise Turn MAC into MIC
  • CAMP Index for the Automation Sector in the Market
  • Automation Portfolio Expansion to Drive Smart Business
  • Mergers and Acquisitions of Automation Companies in the Oilfield
  • Industry Partnerships Drive Portfolio Expansion
  • Use Case 1-Changing Trends - Core Automation Moving into Analytics
  • Use Case 1-Changing Trends - Core Automation Moving into Analytics (continued)
  • Use Case 2-New Market Alliances Forming - Analytics PaaS
  • Use Case 3-Predictive Analytics Helps Reduce Failures and Downtime
  • Use Case 3-Predictive Analytics Helps Reduce Failures and Downtime (continued)

8. STRATEGY AND INSIGHT 4-EMERGENCE OF COGNITIVE VA PLATFORMS

  • IT Applications Evolution in the Oilfield Industry - AI Takes Over
  • The Arrival of ML and AI in Oilfield Services - Timely and Disruptive
  • Applications of AI and VA across the Value Chain
  • Business Model Transformation - from Cloud to AI
  • AI is the New Reality
  • AI Architecture in Oilfield Services
  • Neural Networks Become Stronger in the Oilfield
  • Cognitive Computing Enables Optimisation
  • ML Application in Oilfield Services
  • ML Application in Oilfield Services (continued)
  • Industry Partnerships Drive AI Penetration
  • Use Case 1-AI Assists in Reservoir Management
  • Use Case 2-Production Optimisation for Complex Fields
  • Use Case 3-Convergence Brings AI to Oilfield Services
  • Use Case 3-Convergence Brings AI to Oilfield Services (continued)
  • Use Case 4-Repsol and IBM Collaborate on Cognitive Technologies
  • Use Case 5-Finding New Reserves with New Technological Frontiers
  • AI and ML Ecosystem

9. TOP RECOMMENDATIONS

  • Top Recommendations
  • Legal Disclaimer

10. APPENDIX

  • Learn More-Next Steps

11. THE FROST & SULLIVAN STORY

  • The Frost & Sullivan Story
  • Value Proposition: Future of Your Company & Career
  • Global Perspective
  • Industry Convergence
  • 360° Research Perspective
  • Implementation Excellence
  • Our Blue Ocean Strategy
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