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石油和天然氣領域的人工智慧：市場佔有率分析、行業趨勢和統計、成長預測（2024-2029）

AI In Oil And Gas - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2024 - 2029)
出版日期: | 出版商: Mordor Intelligence | 英文 120 Pages | 商品交期: 2-3個工作天內

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簡介目錄

石油和天然氣領域的人工智慧市場規模估計為29.8億美元，預計到2029年將達到51.7億美元，在預測期間（2024-2029年）以11.68%的複合年增長率增長。

石油和天然氣領域的人工智慧 - 市場

主要石油和天然氣公司在世界各地都有設施。因此，有效地管理它們非常重要。借助人工智慧，您可以在一個地方存取所有位置的資料。這使得所有工廠都可以進行遠端管理和監控。資料記錄可能不完整。因此，在使用它們之前對其進行數位化和評估非常重要。

主要亮點

  • 人工智慧改善上游、中游和下游流程的業務。人工智慧將推動石油和天然氣產業更高的安全標準。石油和天然氣由於其易燃性和有毒氣體排放而極度危險。人工智慧系統追蹤毒性水平和洩漏，並提醒用戶需要解決的問題。溫度波動是石油和天然氣產業安全的另一個威脅。隨著一年中季節的變化，人工智慧會自動改變您的加熱和冷卻系統，以確保您的產品安全。當用於加工和運輸原油的設備需要維護時，人工智慧也會向維修團隊發出警報。
  • 海上石油和天然氣行業正在利用人工智慧和資料科學來簡化對石油和天然氣探勘和生產所需的複雜資料的存取。這使得公司能夠找到新的探勘機會並改善現有基礎設施的使用。例如，根據英國石油公司的數據，2021年全球石油產量達到8,990萬桶/日。使用人工智慧工具可以提高產量。
  • 全球油價大幅下跌是推動油氣產業人工智慧需求最出乎意料的因素。因此，利潤率限制迫使石油和天然氣營運商改變其優先事項，從增加整體產量轉向成功最佳化。推動石油和天然氣產業全球人工智慧市場成長的因素包括消除成本高昂的鑽井風險、利用巨量資料提高營運績效以及利用新的預測技術改造傳統生產系統等。
  • 多家公司正在部署數位雙胞胎，以實現基於地理位置的叢集中油井的整體健康狀況。數位雙胞胎的人工智慧執行特定的井校準要求和隨後的根本原因分析，以提高整體功能品質。例如，雪佛龍正在為油田和煉油廠部署數位雙胞胎技術。該公司還預計將節省價值數百萬美元的品質和其他維護成本。
  • 由於低油價和 COVID-19 大感染疾病，沙烏地阿拉伯經濟承受著巨大壓力。 COVID-19感染疾病油價進一步下跌，嚴重打擊了沙烏地阿拉伯的非能源產業，該國一直在努力發展這些產業，作為其多元化策略的一部分。沙烏地阿拉伯將其經濟從石油經濟轉向人工智慧經濟的目標需要大量投資。沙烏地阿拉伯王儲穆罕默德·本·薩勒曼在沙烏地阿拉伯國家電視台發表演說時表示，2030年註入國民經濟的投資總額預計將達到3.2兆美元。
  • 然而，自冠狀病毒感染疾病以來，被壓抑的需求刺激了全球對原油的需求。然而，這又是因為全球利率上升和地緣政治緊張局勢（烏克蘭戰爭）等宏觀經濟逆風正在給油價帶來壓力。

石油和天然氣領域的人工智慧市場趨勢

上游業務實現大幅成長

  • 世界各地的石油和天然氣產業正在努力使石油探勘過程更加高效和最佳化。該領域的業務是石油和天然氣公司使用人工智慧的主要驅動力。人工智慧工具可以幫助石油和天然氣公司將記錄數位化並自動分析收集的地質資料和圖表。這可以促使潛在問題的識別，例如管道腐蝕和設備使用增加。
  • 英國石油公司(BP)和荷蘭皇家殼牌公司等公司計劃在2050年實現淨零碳排放，這加大了根據《巴黎協定》最大限度減少碳排放的壓力。殼牌採用人工智慧技術對單一設備或整個系統進行預測性維護，以減少碳排放。該元素使公司能夠在潛在的設備故障發生之前對其進行預測和回應。
  • 石油公司正在部署人工智慧技術來提高業務效率，這為市場供應商創造了機會，並增加了上游業務對整體市場成長的貢獻。例如，2022年12月，石油天然氣控股公司（nogaholding）、ADNOC位於阿布達比的科技公司和AIQ合作，將數位解決方案和人工智慧整合並實施到上游業務中。這將允許 nogaholding 使用 AIQ 的技術。最新的人工智慧技術提高了業務效率。
  • 透過將人工智慧軟體涵蓋業務中，公司可以獲得富有洞察力的資料主導訊息，從而改善上游流程的業務成果。此過程可能涉及將選定的資料記錄和資訊從資料來源輸入到軟體中，例如結構化文件、PDF、音訊筆記以及音訊和視訊檔案。
  • 人工智慧可用於石油和天然氣產業的多種應用。例如，利用電腦視覺最佳化生產以更快地分析地震和資料資料、最大限度地減少石油和天然氣設備預測性維護的停機時間、了解油藏並減少維護，其中包括腐蝕風險預測建模。這是要花錢的。此外，市場上還出現了許多技術領域領先公司的投資。

北美預計將獲得顯著的市場佔有率

  • 由於油田營運商和服務供應商擴大採用人工智慧技術，以及著名人工智慧軟體和系統供應商的強大影響力，尤其是在美國和加拿大，北美市場預計將佔據人工智慧的最大佔有率。它一直。預測期內的石油和天然氣市場。
  • 強勁的經濟、油田營運商和服務供應商對人工智慧技術的高採用率、知名人工智慧軟體和系統供應商的強大影響力，以及政府和私人組織聯合投資開發和發展研發活動，有幾個因素。預計這將推動該地區石油和天然氣產業對人工智慧的需求。
  • 埃克森美孚是美國領先的石油生產商之一，計劃最早到 2024 年擴大其在德克薩斯州西部二疊紀盆地的生產業務，每日產量超過100 萬桶石油當量(BPD)。宣布了擴大計劃。與目前的產能相比，這相當於增加了近80%。
  • 此外，美國業主和營運商正在認知到基於 IT 的自動化如何有效解決上游石油和天然氣行業的獨特課題。例如，貝克休斯使用 InForce 地面控制系統。該系統將操作井下工具的液壓與控制智慧井系統的控制邏輯結合。 PLC 控制系統功能以實現更複雜的完整配置。這主要在需要透過現有 SCADA 執行遠端操作時使用。
  • 在所有使能技術中，人工智慧預計將在該地區的石油和天然氣產業中發揮關鍵作用。由於北美加油站發生的火災數量不斷增加，它也被用來​​提高加油站預防性維護的安全性。

人工智慧在石油和天然氣行業的概述

石油和天然氣市場的人工智慧競爭適中，由少數佔據市場佔有率的大公司組成。隨著越來越多的現有公司和新公司擴大基於人工智慧技術的業務組合，市場適度分散。兩家公司繼續投資於策略重點，以擴展、補充和加強其產品和服務，增加新客戶和認證人才，並支持銷售管道的擴展。

  • 2023年1月－人工智慧應用軟體公司C3 AI宣布推出C3 Generative AI產品套件，並發布了首款產品C3 Generative AI for Enterprise Search。 C3 AI 的預先建置人工智慧應用程式是 C3 Generative AI 產品套件的一部分，其中包括先進的變壓器模型，使客戶可以輕鬆地在整個價值鏈中使用它們。此外，C3 Generative AI 將加速跨業務職能和產業（包括石油和天然氣產業）的轉型工作。

其他福利

  • Excel 格式的市場預測 (ME) 表
  • 3 個月分析師支持

目錄

第1章簡介

  • 研究假設和市場定義
  • 調查範圍

第2章調查方法

第3章執行摘要

第4章市場動態

  • 市場概況
  • 產業吸引力－波特五力分析
    • 新進入者的威脅
    • 買方議價能力
    • 供應商的議價能力
    • 替代產品的威脅
    • 競爭公司之間的敵意強度
  • 技術簡介 - 依下應用
    • 品管
    • 生產計畫
    • 預測性維護
    • 其他用途
  • 評估 COVID-19感染疾病對市場生態系的影響

第5章市場動態

  • 市場促進因素
    • 增強專注力，輕鬆處理巨量資料
    • 生產成本呈下降趨勢
  • 市場限制因素
    • 安裝成本高
    • 整個石油和天然氣行業缺乏熟練的專業人員。

第6章市場區隔

  • 外科手術
    • 上游
    • 中產階級
    • 下游
  • 服務類型
    • 專業服務
    • 管理服務
  • 地區
    • 北美洲
    • 歐洲
    • 亞太地區
    • 拉丁美洲
    • 中東和非洲

第7章 競爭形勢

  • 公司簡介
    • Google LLC
    • IBM Corporation
    • FuGenX Technologies Pvt. Ltd
    • C3.AI
    • Microsoft Corporation
    • Intel Corporation
    • Royal Dutch Shell PLC
    • PJSC Gazprom Neft
    • Huawei Technologies Co. Ltd
    • NVIDIA Corp.
    • Infosys Limited
    • Neudax

第8章投資分析

第9章市場的未來

簡介目錄
Product Code: 64253

The AI In Oil And Gas Market size is estimated at USD 2.98 billion in 2024, and is expected to reach USD 5.17 billion by 2029, growing at a CAGR of 11.68% during the forecast period (2024-2029).

AI In Oil And Gas - Market

Large oil and gas firms have facilities spread out over the globe. Therefore it's crucial to manage them all effectively. They can access all of their locations' data in one spot thanks to AI. This enables them to manage and monitor all of their plants remotely. Data records may occasionally be incomplete. Thus it's crucial to digitize and evaluate them before using them.

Key Highlights

  • AI improves operations in the upstream, midstream, and downstream processes. AI promotes high security and safety standards in the oil and gas sector. Due to their flammability and the release of toxic gases, oil and gas are highly hazardous. Artificial intelligence systems can track toxicity levels and leaks and warn users of issues that must be fixed. The fluctuation in temperature is another threat to safety in the oil and gas sector. As the seasons change throughout the year, AI can automatically modify cooling and heating systems to keep the goods safe. Artificial intelligence will also warn the maintenance team when equipment used to process and transport crude oil needs maintenance.
  • The offshore oil and gas industries employ AI and data science to simplify access to the complex data required for oil and gas exploration and production. This enables businesses to find new exploration opportunities and improve the use of current infrastructures. For example, According to BP plc, global oil production amounted to 89.9 million barrels per day in 2021. Production can be increased by using AI tools.
  • The sharp reduction in oil prices worldwide has been the most unexpected element driving up demand for artificial intelligence in the oil and gas industry. Margin constraints, as a result, forced oil and gas operators to change their priorities from raising overall output to successfully optimizing it. The factors propelling the growth of the global artificial intelligence market in the oil and gas industry include eliminating the costly risk of drilling, utilizing big data to improve operational performance, and transforming the traditional production system into new predictive technologies.
  • Several companies are deploying digital twins to attain the overall health of the oil wells present in a cluster based on geographical position. The digital twins' AI performs the calibration requirements of certain wells and the subsequent analysis of the causes, improving overall functional quality. For instance, Chevron is rolling out digital twin technology for its oil fields and refineries. The company further expects to save millions worth of quality and other maintenance costs.
  • The Saudi economy was under exceptional strain due to the low oil prices and the COVID-19 pandemic. COVID-19 had further depreciated oil and wreaked havoc on Saudi Arabia's non-energy industries, which it was attempting to grow as part of its diversification strategy. The Kingdom's objective to migrate its economy from oil-based to AI-based will require considerable investment. In a speech given to a state television of Saudi Arabia, The Crown Prince of Saudi Arabia, Mohammed Bin Salman informed that the total investment injected into the national economy is expected to reach USD 3.2 trillion by 2030.
  • But after COVID, Pent up demand fueled the demand of crude across the world. But again, due to macro-economic headwinds like increasing intertest rate across the world and geopolitical tension (Ukrain war) putting pressue on crude oil prices.

AI in Oil and Gas Market Trends

Upstream Operations to Witness Significant Growth

  • Oil and Gas industries worldwide are trying to make the oil exploration processes more efficient and optimized. The operations in this field are the major factors driving the usage of AI in oil and gas companies. The AI tools can help oil and gas companies digitize records and automate the analysis of the gathered geological data and charts, which can lead to the potential identification of issues, such as pipeline corrosion or increased equipment usage.
  • Companies like BP and Royal Dutch Shell have planned to achieve net-zero carbon emissions by 2050, and are under increasing pressure to minimize their carbon footprint in compliance with the Paris Agreement. Shell is employing AI technology to do predictive maintenance of individual pieces of equipment or entire systems to reduce its carbon footprint. This factor allows the corporations to foresee and handle probable equipment faults before they occur.
  • Oil companies are adopting AI technology to increase their operational efficiencies, which is creating an opportunity for the market vendors, and raising the contribution of Upstream operation in the overall market growth. For instances, in December 2022, Oil and Gas Holding Co. (nogaholding), ADNOC's Abu Dhabi-based technology venture, and AIQ have collaborated to integrate and implement digital solutions and artificial intelligence into its upstream operations, which would enable nogaholding to use AIQ's most recent AI technologies to improve operational efficiency.
  • Companies can obtain insightful data-driven information that will enhance their business outcomes in their upstream processes by incorporating AI software into their operations. This process may involve feeding curated data records and information from data sources to the software, including structured documents, PDFs, handwritten notes, and audio or video files.
  • AI has multiple applications in the oil and gas industry, such as production optimization with computer vision to analyze seismic and subsurface data faster, downtime minimizing for predictive maintenance for oil and gas equipment, reservoir understanding, and modeling for predicting oil corrosion risks to reduce maintenance costs. Moreover, the market has been witnessing many investments by big players in technology.

North America is Expected to have a Significant Market Share

  • Owing to the increasing adoption of AI technologies across the oilfield operators and service providers and the robust presence of prominent AI software and system suppliers, especially in the United States and Canada, the North American segment is anticipated to account for the largest share of the AI in oil and gas market over the forecast period.
  • Factors such as the strong economy, the high adoption rate of AI technologies across the oilfield operators and service providers, a robust presence of prominent AI software and system suppliers, and combined investment by government and private organizations for the development and growth of R&D activities are projected to drive the demand for AI in the oil and gas sector in the region.
  • ExxonMobil, one of the leading oil producers in the country, announced its plans to increase the production activity in the Permian Basin of West Texas by producing more than 1 million barrels per day (BPD) of oil equivalent by as early as 2024. This capacity is equivalent to an increase of nearly 80% compared to the present production capacity.
  • In addition, owners and operators in the United States recognize how IT-based automation can productively address the unique challenges of the upstream oil and gas sector. For instance, Baker Hughes uses the InForce surface control system, which combines the hydraulic power to activate downhole tools and the control logic to govern an intelligent well system. PLC controls system functions for more complex completion configurations. It is primarily used where remote operations must be done through existing SCADA.
  • Among all the enabling technologies, AI is projected to play a significant role in the oil and gas industry in the region. It has also been used to increase the safety of gas stations for preventive maintenance due to the growing number of fire incidences at gas stations in North America.

AI in Oil and Gas Industry Overview

The AI in the oil and gas market is moderately competitive and consists of a few major players holding the market share. The market has been witnessing growth in the number of existing and new companies expanding their AI technology-based business portfolio, making it moderately fragmented. The companies continuously invest in the strategic priority to broaden, complement, and enhance their product and service offerings, add new customers and certified personnel, and help expand sales channels.

  • January 2023 - C3 AI, an AI application software company, has announced the launch of the C3 Generative AI Product Suite with the release of its initial product, C3 Generative AI for Enterprise Search. C3 AI's pre-built AI applications in the C3 Generative AI Product Suite include advanced transformer models, making it easier for customers to use them throughout their value chains. In addition, transformation efforts across business functions and industries, including the oil and gas sector, would be accelerated by C3 Generative AI.

Additional Benefits:

  • The market estimate (ME) sheet in Excel format
  • 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 Study Assumptions and Market Definition
  • 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET DYNAMICS

  • 4.1 Market Overview
  • 4.2 Industry Attractiveness - Porter's Five Forces Analysis
    • 4.2.1 Threat of New Entrants
    • 4.2.2 Bargaining Power of Buyers
    • 4.2.3 Bargaining Power of Suppliers
    • 4.2.4 Threat of Substitute Products
    • 4.2.5 Intensity of Competitive Rivalry
  • 4.3 Technology Snapshot - By Application
    • 4.3.1 Quality Control
    • 4.3.2 Production Planning
    • 4.3.3 Predictive Maintenance
    • 4.3.4 Other Applications
  • 4.4 Assessment of the Impact of COVID-19 on the Market Ecosystem

5 MARKET DYNAMICS

  • 5.1 Market Drivers
    • 5.1.1 Increasing Focus to Easily Process Big Data
    • 5.1.2 Rising Trend to Reduce Production Cost
  • 5.2 Market Restraints
    • 5.2.1 High Cost of Installation
    • 5.2.2 Lack of Skilled Professionals Across the Oil and Gas Industry

6 MARKET SEGMENTATION

  • 6.1 Operation
    • 6.1.1 Upstream
    • 6.1.2 Midstream
    • 6.1.3 Downstream
  • 6.2 Service Type
    • 6.2.1 Professional Services
    • 6.2.2 Managed Services
  • 6.3 Geography
    • 6.3.1 North America
    • 6.3.2 Europe
    • 6.3.3 Asia-Pacific
    • 6.3.4 Latin America
    • 6.3.5 Middle-East and Africa

7 COMPETITIVE LANDSCAPE

  • 7.1 Company Profiles*
    • 7.1.1 Google LLC
    • 7.1.2 IBM Corporation
    • 7.1.3 FuGenX Technologies Pvt. Ltd
    • 7.1.4 C3.AI
    • 7.1.5 Microsoft Corporation
    • 7.1.6 Intel Corporation
    • 7.1.7 Royal Dutch Shell PLC
    • 7.1.8 PJSC Gazprom Neft
    • 7.1.9 Huawei Technologies Co. Ltd
    • 7.1.10 NVIDIA Corp.
    • 7.1.11 Infosys Limited
    • 7.1.12 Neudax

8 INVESTMENT ANALYSIS

9 FUTURE OF THE MARKET