最佳實踐：管理和擴展石油和天然氣行業的創新 - 人工智慧和數據分析案例研究

本報告探討了石油和天然氣行業管理和規模創新的努力，包括主要公司和生態系統的亮點、人工智慧和數據分析案例研究以及特色提供者的解決方案。

實際好處：

• 確定創新的人工智慧和數據分析解決方案，以提高石油和天然氣市場的營運效率和優化
• 瞭解主要石油和天然氣公司如何利用人工智慧和數據分析來影響其營運
• 獲得協助，使人工智慧和數據分析解決方案能夠應對石油和天然氣公司面臨的常見課題

重要問題的答案：

• 人工智慧和數據分析解決方案如何應用於石油和天然氣市場？
• 服務於石油和天然氣市場的供應商的人工智慧和數據分析解決方案目前的能力如何？
• 石油和天然氣公司使用人工智慧和數據分析解決方案可以獲得什麼結果？

研究亮點：

• 人工智慧和數據分析在石油和天然氣領域的用例：簡介
• 石油和天然氣產業人工智慧和數據分析實施案例研究
• 著名人工智慧和數據分析解決方案提供者的亮點

目錄

主要發現

主要預測

主要公司與生態系

資料分析人工智慧解決方案

Seeq・Western Midstream：快速辨識壓力降問題

Imubit：將數據轉換為利潤率提升

Kelvin·Santos：結合人類經驗與人工智慧，實現自主井優化與控制

Canvas：煉油廠每年節省高達 1000 萬美元

Nippon Gases/SymphonyAI：防止意外停機並擴展您的 APM 策略

Earth Science Analytics・NPD (Norwegian Petroleum Directorate)・Net Zero Technology Centre：利用人工智慧預測 5000 口井中遺漏的碳氫化合物

Emerson International：減少上游警報疲勞並改善管道洩漏檢測

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:

• 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:

• 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?

• 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 OG 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 US10 MillionYear 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 SymphonyAIs Predictive Asset Intelligence SymphonyAI Nippon Gasses

Predicting Overlooked Hydrocarbons in 5000 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