最佳实践：管理和扩展石油和天然气行业的创新 - 人工智慧和数据分析案例研究

本报告探讨了石油和天然气行业管理和规模创新的努力，包括主要公司和生态系统的亮点、人工智慧和数据分析案例研究以及特色提供者的解决方案。

实际好处：

• 确定创新的人工智慧和数据分析解决方案，以提高石油和天然气市场的营运效率和优化
• 瞭解主要石油和天然气公司如何利用人工智慧和数据分析来影响其营运
• 获得协助，使人工智慧和数据分析解决方案能够应对石油和天然气公司面临的常见课题

重要问题的答案：

• 人工智慧和数据分析解决方案如何应用于石油和天然气市场？
• 服务于石油和天然气市场的供应商的人工智慧和数据分析解决方案目前的能力如何？
• 石油和天然气公司使用人工智慧和数据分析解决方案可以获得什么结果？

研究亮点：

• 人工智慧和数据分析在石油和天然气领域的用例：简介
• 石油和天然气产业人工智慧和数据分析实施案例研究
• 着名人工智慧和数据分析解决方案提供者的亮点

目录

主要发现

主要预测

主要公司与生态系

资料分析人工智慧解决方案

Seeq・Western Midstream：快速辨识压力降问题

Imubit：将数据转换为利润率提升

Kelvin·Santos：结合人类经验与人工智慧，实现自主井优化与控制

Canvas：炼油厂每年节省高达 1000 万美元

Nippon Gases/SymphonyAI：防止意外停机并扩展您的 APM 策略

Earth Science Analytics・NPD (Norwegian Petroleum Directorate)・Net Zero Technology Centre：利用人工智慧预测 5000 口井中遗漏的碳氢化合物

Emerson International：减少上游警报疲劳并改善管道洩漏检测

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