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石化燃料人工智能

市場調查報告書

商品編碼

1627922

石油和天然氣領域的人工智慧 (AI) 市場：預測（2025-2030 年）

Artificial Intelligence (AI) in Oil and Gas Market - Forecasts from 2025 to 2030

出版日期: 2024年12月16日 | 出版商:

Knowledge Sourcing Intelligence | 英文 135 Pages | 商品交期: 最快1-2個工作天內

價格

簡介目錄

石油和天然氣領域的人工智慧（AI）市場預計將從2025年的72.46億美元增加到2030年的169.51億美元，複合年成長率為18.53%。

在石油和天然氣行業，人工智慧預計將在多種應用中發揮關鍵作用。基於人工智慧的工具和平台可以幫助了解和分析石油蘊藏量模式，準確探勘新的石油蘊藏量，並降低營運成本。這些工具還有助於監控整個挖掘作業，減少事故和死亡的發生。

推動人工智慧在石油和天然氣行業使用的主要因素預計將是全球石油和天然氣需求的增加。隨著需求的增加，產量也隨之增加。公司和組織正在應用基於人工智慧的工具來減少工作時間和成本，並確定新的探勘地點並提高產量。

世界石油和天然氣產量每年都在大幅增加。 Enerdata在報告中表示，2022年美國原油總產量為756噸，而加拿大和中國則分別生產約285噸和205噸。 2023年，美國原油產量將增加至820噸，加拿大產量為289噸，中國原油產量為209噸。

預計石油和天然氣領域的人工智慧（AI）市場將在預測期內穩步成長。全球石油和天然氣產量的成長正在提振市場。此外，在預測期內，人工智慧跨多個產業的不斷融合也可能推動人工智慧在石油和天然氣市場的發展。

石油和天然氣領域人工智慧 (AI) 市場的成長動力

油氣生產事故率上升

在石油和天然氣行業，人工智慧在檢測缺陷、維護服務、了解鑽井模式以及探勘石油和天然氣蘊藏量等方面具有重要應用。人工智慧在工業中的主要應用是檢測系統和機械的缺陷，這有助於減少石油和天然氣生產過程中的事故和死亡人數。

全球石油和天然氣生產過程中的事故和死亡人數不斷增加，將人工智慧納入業務中可以減少這一數字。國際石油和天然氣生產商協會 (IOGP) 在其報告中指出，到 2023 年，承包商的總工作日成本 (LWDC) 為 563，公司為 187。此外，報告發現，2023 年，維修工作約佔損失工作日的 20.6%，其次是鑽井，佔 17.6%，生產佔 16.4%。

石油和天然氣領域人工智慧 (AI) 市場的地理前景：

北美地區的石油和天然氣人工智慧（AI）市場預計將顯著成長。

預計北美地區將在預測期內推動全球石油和天然氣領域人工智慧（AI）市場的成長。美國由於主要產業集中、政府政策利好以及建設支出增加，在人工智慧領域佔據主導市場佔有率。 OPEC美洲原油蘊藏量2021年為522.3億桶，2022年增加至557.1億桶，2023年達582.7億桶。

根據國際能源統計數據，過去六年美國生產的原油和冷凝油比其他國家都多。 2022年美國原油和租賃冷凝油產量成長6%。 2023 年，美國平均原油產量（包括冷凝油）為 1,290 萬桶/日，其次是俄羅斯，為 1,010 萬桶/日，沙烏地阿拉伯為 970 萬桶/日（ b/d）。

為了因應原油產量的增加，美國能源局（DOE）採取了一系列措施來促進人工智慧的開發和使用。此外，2024 年 6 月，TGS 宣布與 PetroAI 建立策略夥伴關係。此次合作旨在為探勘與生產公司提供整合解決方案，允許用戶透過 PetroAI 平台存取 TGS 許可證資料。 PetroAI 利用 TGS 廣泛的地下、生產和井眼資料創建先進的人工智慧模型，可準確預測效能並識別設計敏感度。

2024年1月，SLB宣布與Geminus AI達成投資與技術合作協議。這使得 SLB 能夠獨家存取為石油和天然氣營運部署第一個實體人工智慧模型建構器。 Geminus 的模型建構器將基於物理的方法與流程資料結合，產生準確、可部署的 AI 模型。

此外，美國是全球人工智慧研究、開發和部署的主要中心。 2023年美國基本車型數量為109款，遠超過第二名中國的20款。基礎模型代表了人工智慧的前沿研究。

為什麼要購買這份報告？

富有洞察力的分析：獲得涵蓋關鍵和新興地區的深入市場洞察，重點關注客戶細分、政府政策和社會經濟因素、消費者偏好、行業和其他子區隔。
競爭格局：了解世界主要企業採取的策略策略，並了解透過正確的策略滲透市場的潛力。
市場趨勢和促進因素：探索動態因素和關鍵市場趨勢以及它們將如何影響未來的市場發展。
可行的建議：利用洞察力做出策略決策，以在動態環境中發現新的業務流和收益。
受眾廣泛：對於新興企業、研究機構、顧問、中小企業和大型企業有用且具有成本效益。

它有什麼用？

產業和市場考量、機會評估、產品需求預測、打入市場策略、地理擴張、資本投資決策、法律規範與影響、新產品開發、競爭影響

調查範圍

2022年至2030年歷史資料與預測
成長機會、挑戰、供應鏈前景、法規結構、客戶行為和趨勢分析
競爭定位、策略和市場佔有率分析
收益成長與預測包括國家在內的細分市場和區域評估
公司概況（尤其是重大發展）

石油和天然氣市場中的人工智慧（AI）分為以下幾個部分進行分析：

按業務

上游
中產階級
下游

按用途

表面分析
缺陷檢測
挖掘/竣工
採礦/運輸
加工/精製維護
其他

按地區

北美洲
美國
加拿大
墨西哥
南美洲
巴西
阿根廷
其他
歐洲
英國
德國
法國
西班牙
其他
中東/非洲
沙烏地阿拉伯
UAE
南非
其他
亞太地區
中國
日本
印度
印尼
台灣
其他

In the oil and gas industry, AI is set to play a key role in multiple applications. The AI-based tools and platforms can understand and analyze the oil reserve patterns and help in accurately exploring new oil reserves and reducing the cost of operations. These tools also help in monitoring the overall operations of drilling and reduce the occurrence of accidents and fatalities.

A major factor propelling the utilization of AI in the oil and gas industry is forecasted to be the increasing demand for oil and gas worldwide. With this increasing demand, production will witness an increase. Various companies and organizations are applying AI-based tools to reduce operation time and cost and also to identify new exploration locations to boost production.

The global production of oil and gas increased significantly over the years. The Enerdata, in its report, stated that in 2022, the total crude oil produced by the USA was recorded at 756 Mt, whereas Canada and China produced about 285 Mt and 205 Mt, respectively. In 2023, the production of crude oil by the USA increased to 820 Mt, whereas Canada produced 289 Mt, and China produced 209 Mt of crude oil.

Artificial intelligence (AI) in the oil and gas market is estimated to grow at a steady rate during the forecast period. The increasing global oil and gas production is pushing the market forward. Furthermore, the rising integration of AI across multiple industries will also boost the market of AI in oil and gas during the forecasted timeline.

Artificial intelligence (AI) in oil and gas market growth drivers

Higher rate of accidents in oil and gas production

In the oil and gas industry, AI will play a key application, like detecting defects, maintaining services, understanding the drilling pattern, and exploring oil & gas reserves. The major application of AI in the industry is the detection of defects in systems and machinery, which can help reduce accidents and fatalities during the production of oil and gas.

The number of accidents and fatalities during the production of oil and gas worldwide are increasing, and this figure can be reduced by integrating AI into the operations. The International Association of Oil & Gas Producers or IOGP , in its report, stated that in 2023, the total cost of the work day (LWDC), which involves incidents of injuries, was recorded at 563 incidents related to contractor, and 187 incidents related to the company. The report further stated that by activity, maintenance caused about 20.6% of the total loss of work days in 2023, followed by 17.6% cases by drilling and 16.4% caused by production.

Artificial intelligence (AI) in the oil and gas market geographical outlook:

The North American region is expected to witness significant growth in artificial intelligence (AI) in the oil and gas market.

The North American region is expected to propel the growth of the global AI in the oil and gas market during the forecasted timeline. The USA held the dominant share in artificial intelligence, owing to the concentration of major industries, favorable government policies, and increasing construction expenditure. OPEC America's crude reserves were 52.23 billion barrels in 2021, which increased to 55.71 billion barrels in 2022 and reached 58.27 billion barrels in 2023.

The United States produced more crude oil and condensate than any nation, according to the International Energy Statistics, for the past six years. U.S. crude oil and lease condensate production increased 6% in 2022. Crude oil production in the United States, including condensate, averaged 12.9 million barrels per day (b/d) in 2023, followed by Russia with 10.1 million barrels per day (b/d), and Saudi Arabia with 9.7 million barrels per day (b/d).

This increased production of crude oil led the U.S. Department of Energy (DOE) to take a series of actions delivering on the development and use of Artificial Intelligence. Further, in June 2024, TGS announced a strategic partnership with PetroAI. This collaboration aimed to provide E&P companies with an integrated solution that allows users to access TGS's licensed data via the PetroAI platform. PetroAI would utilize TGS' extensive subsurface, production, and well data to create advanced AI models capable of accurately predicting performance and identifying design sensitivities.

In January 2024, SLB announced an investment and technology partnership agreement with Geminus AI. This gives SLB exclusive access to deploying the first physics-informed AI model builder for Oil and Gas operations. The Geminus model builder fuses physics-based approaches with process data to produce accurate AI models that can be deployed.

Moreover, the United States has become a major hub for global artificial intelligence research, development, and deployment. The number of foundation models in 2023 was 109 for the United States, way higher than the second most prominent country, China, with 20 foundation models. Foundation models represent frontier AI research.

Reasons for buying this report:-

Insightful Analysis: Gain detailed market insights covering major as well as emerging geographical regions, focusing on customer segments, government policies and socio-economic factors, consumer preferences, industry verticals, other sub- segments.
Competitive Landscape: Understand the strategic maneuvers employed by key players globally to understand possible market penetration with the correct strategy.
Market Drivers & Future Trends: Explore the dynamic factors and pivotal market trends and how they will shape up future market developments.
Actionable Recommendations: Utilize the insights to exercise strategic decision to uncover new business streams and revenues in a dynamic environment.
Caters to a Wide Audience: Beneficial and cost-effective for startups, research institutions, consultants, SMEs, and large enterprises.

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Industry and Market Insights, Opportunity Assessment, Product Demand Forecasting, Market Entry Strategy, Geographical Expansion, Capital Investment Decisions, Regulatory Framework & Implications, New Product Development, Competitive Intelligence

Report Coverage:

Historical data & forecasts from 2022 to 2030
Growth Opportunities, Challenges, Supply Chain Outlook, Regulatory Framework, Customer Behaviour, and Trend Analysis
Competitive Positioning, Strategies, and Market Share Analysis
Revenue Growth and Forecast Assessment of segments and regions including countries
Company Profiling (Strategies, Products, Financial Information, and Key Developments among others)

Artificial Intelligence (AI) In the Oil and Gas Market is analyzed into the following segments:

By Operation

Upstream
Midstream
Downstream

By Application

Surface Analysis
Defect Detection
Drilling and Completions
Gathering and Transportation
Processing and Refining Maintenance
Others

By Geography

North America
USA
Canada
Mexico
South America
Brazil
Argentina
Others
Europe
United Kingdom
Germany
France
Spain
Others
Middle East and Africa
Saudi Arabia
UAE
South Africa
Others
Asia Pacific Region
China
Japan
India
Indonesia
Taiwan
Others

1. INTRODUCTION

1.1. Market Overview
1.2. Market Definition
1.3. Scope of the Study
1.4. Market Segmentation
1.5. Currency
1.6. Assumptions
1.7. Base and Forecast Years Timeline
1.8. Key benefits for the stakeholders

2. RESEARCH METHODOLOGY

2.1. Research Design
2.2. Research Process

3. EXECUTIVE SUMMARY

3.1. Key Findings

4. MARKET DYNAMICS

4.1. Market Drivers
4.2. Market Restraints
4.3. Porter's Five Forces Analysis
- 4.3.1. Bargaining Power of Suppliers
- 4.3.2. Bargaining Power of Buyers
- 4.3.3. The Threat of New Entrants
- 4.3.4. Threat of Substitutes
- 4.3.5. Competitive Rivalry in the Industry
4.4. Industry Value Chain Analysis
4.5. Analyst View

5. ARTIFICIAL INTELLIGENCE (AI) IN OIL AND GAS MARKET BY OPERATION

5.1. Introduction
5.2. Upstream
5.3. Midstream
5.4. Downstream

6. ARTIFICIAL INTELLIGENCE (AI) IN OIL AND GAS MARKET BY APPLICATION

6.1. Introduction
6.2. Surface Analysis
6.3. Defect Detection
6.4. Drilling and Completions
6.5. Gathering and Transportation
6.6. Processing and Refining Maintenance
6.7. Others

7. ARTIFICIAL INTELLIGENCE (AI) IN OIL AND GAS MARKET BY GEOGRAPHY

7.1. Introduction
7.2. North America
- 7.2.1. By Operation
- 7.2.2. By Application
- 7.2.3. By Country
  - 7.2.3.1. United States
  - 7.2.3.2. Canada
  - 7.2.3.3. Mexico
7.3. South America
- 7.3.1. By Operation
- 7.3.2. By Application
- 7.3.3. By Country
  - 7.3.3.1. Brazil
  - 7.3.3.2. Argentina
  - 7.3.3.3. Others
7.4. Europe
- 7.4.1. By Operation
- 7.4.2. By Application
- 7.4.3. By Country
  - 7.4.3.1. United Kingdom
  - 7.4.3.2. Germany
  - 7.4.3.3. France
  - 7.4.3.4. Spain
  - 7.4.3.5. Others
7.5. Middle East and Africa
- 7.5.1. By Operation
- 7.5.2. By Application
- 7.5.3. By Country
  - 7.5.3.1. Saudi Arabia
  - 7.5.3.2. UAE
  - 7.5.3.3. South Africa
  - 7.5.3.4. Others
7.6. Asia Pacific
- 7.6.1. By Operation
- 7.6.2. By Application
- 7.6.3. By Country
  - 7.6.3.1. China
  - 7.6.3.2. Japan
  - 7.6.3.3. India
  - 7.6.3.4. Indonesia
  - 7.6.3.5. Taiwan
  - 7.6.3.6. Others