By 2028, the AI market in the Oil & Gas sector is expected to reach $4.21 billion, with a compound annual growth rate (CAGR) of 12.09%, driven by AI's capability to analyze vast datasets and learn from various patterns.

The application of artificial intelligence in the Oil & Gas industry is revolutionizing the way companies operate across various aspects. From predictive maintenance that prevents equipment failures to supply chain optimization that ensures smoother operations, AI is making significant impacts.

In this article, Bluebik Vulcan will explore 9 AI use cases in the Oil & Gas industry, highlighting their critical effects on this sector. Let’s look at what they are. 

9 Compelling Use Cases of AI in Oil and Gas 

1.Demand Forecasting

Traditional forecasting methods often fail to manage the complexities of the global energy market. AI solutions for Oil & Gas help analyze historical data, market trends, and geopolitical events, providing companies with insights that lead to more accurate decision-making.

For example, drilling companies using AI can forecast demand accurately by analyzing data from past drilling projects, oil price volatility, and global energy demand. This enables optimal resource allocation and enhances drilling operations.

2.Predictive Maintenance

AI-driven predictive maintenance analyzes IoT sensor data and real-time operational data effectively. It can predict equipment failures or maintenance needs. For instance, oil rigs can use AI to continuously monitor the condition of pumps, compressors, and machinery, detecting anomalies and scheduling maintenance in advance.

Not only offshore rigs but also refineries and pipelines benefit from predictive maintenance, using machine learning to optimize maintenance and improve safety.

3.Oil Exploration

Finding new oil reserves is a challenging and costly task. AI enhances exploration efficiency and accuracy by analyzing large datasets. Exploration teams can use AI to identify areas with the highest drilling potential, reducing time, cost, and environmental impact safely. 

4. Handle Price Fluctuations

AI helps analyze historical price data and market trends to forecast oil price movements. This allows companies to develop appropriate strategies, such as predicting price declines and recommending risk mitigation measures.

AI can analyze real-time price data, enabling companies to make swift decisions and trade oil contracts based on predefined criteria. It also supports long-term strategies by tracking and analyzing market factors for smarter investment and asset allocation decisions.

5.Improve Safety

AI enhances safety by performing maintenance, detecting anomalies, and predicting failures before accidents occur. It allows for better scheduling of maintenance and reduces accident risks.

Additionally, AI monitors safety in real-time using environmental sensors, analyzing data instantly and alerting when abnormal activities are detected. It also optimizes transportation routes by analyzing traffic and weather conditions.

6.RPA for Back-Office Tasks

In the Oil & Gas industry, back-office tasks that are repetitive and time-consuming can benefit from AI and Robotic Process Automation (RPA). For instance, RPA bots can process invoices quickly and accurately, reducing errors.

RPA bots also handle complex tasks like supply chain management by analyzing data from various sources to enhance decision-making. Machine learning further allows RPA bots to learn and adapt, improving operational efficiency.

7.Oil Spills and Hydrocarbon Detection

AI in the Oil & Gas industry can detect oil spills and hydrocarbons by analyzing satellite images and survey data. This enables immediate action to mitigate environmental impacts.

AI systems can calculate and predict ecological impacts. Additionally, AI-powered sensors monitor infrastructure in real time, detecting temperature, pressure, and anomalies that might indicate leaks, allowing for swift action.

8.Regulatory Compliance

AI systems can evaluate company practices against new regulations and identify gaps that need addressing. They also assist in assessing and managing risks by analyzing historical data to mitigate risks effectively.

AI-driven analytics continuously monitor compliance and immediately alert companies to any deviations, enabling prompt corrective actions.

9.AI-driven Supply-Chain Management

AI-driven supply chain management in the Oil & Gas industry is transforming operations. AI technology improves supply chain management using real-time data, such as traffic and weather conditions, to optimize transportation and reduce logistics costs.

AI also aids in supplier evaluation, maintaining good supplier relationships, and budget planning to meet financial requirements more effectively.

AI Use Cases in the Oil & Gas Industry in Thailand

PTT Exploration and Production Public Company Limited (PTTEP) is a key organization in securing stable petroleum sources for Thailand and the energy industry, including future new energy forms. The company uti

lizes advanced innovations and technologies to reduce greenhouse gas emissions and aims to become a low-carbon organization for sustainable growth.

PTTEP recently held Digital Transformation Day 2024 under the theme “Digital the Future” to showcase cutting-edge digital technologies that drive and enhance various aspects of the company’s operations. They introduced the “EP Digital Platform,” a hub for digital innovation projects that employ technologies such as Machine Learning, Artificial Intelligence (AI), and Robotic Process Automation (RPA). PTTEP has developed these technologies in-house and with partners, launching over 65 projects to support petroleum exploration and production, maintenance, logistics, and safety and occupational health. These innovations aim to enhance capabilities, reduce operational time and costs, and provide long-term benefits to the industry, including: 

• The CREST is a comprehensive geological data management system capable of rapidly processing data with high accuracy and precision. It utilizes AI algorithms to analyze and compare the operational patterns of production equipment, providing warnings and recommending effective solutions.
• DORA analyzes petroleum drilling data in real-time using AI and Machine Learning, enabling the identification of potential issues or risks. This helps reduce time and costs.
• AI for Bid Evaluation and AI for Bid Quality Assurance use AI to analyze and evaluate bidding documents and verify the history of bidders, streamlining processes and reducing time while ensuring transparency. 

The current global trend focuses on achieving Net Zero greenhouse gas emissions, a critical factor for mitigating business risks. Thailand aims to achieve this goal by 2065, while international companies target Net Zero by 2050. 

AI will play a pivotal role in helping businesses achieve their Net Zero goals.  

PTT Public Company Limited (PTT) utilizes AI in five key areas, including:

1. Power Tech uses AI to develop carbon credit exchange platform with partners
2. Health Tech: Development of targeted treatment processing data platform and development of healthcare throughout the system.
3. Mobility Tech on the electric vehicle (EV) ecosystem and battery supply chain
4. Industrial Tech, machine learning development, including maintenance forecasting
5. Creative Tech uses AR and VR systems to process and motors such as oil and gas pipelines at sea 

Additionally, PTT has developed Generative-AI software for use within its group of companies, such as ABDUL, which can answer any query by compiling internal organizational data for historical research and processing recommendations, and OLof, which is used for processing meetings, summarizing key points, and efficiently converting them into reports. 

Why choose Bluebik Vulcan?

Bluebik Vulcan is a seasoned web developer with extensive experience and expertise in creating secure solutions. We are dedicated to crafting software that meets your business needs by following certified processes to ensure data security and regulatory compliance.

In addition to custom application and software development, Bluebik Vulcan has a proven track record of modernizing legacy systems. Our specialized team is ready to enhance your operations with Artificial Intelligence (AI) and Machine Learning (ML) to develop software that effectively predicts potential issues.

Thank you to our sources: 

https://appinventiv.com/blog/artificial-intelligence-in-oil-and-gas-industry/

AI in Oil and Gas Market - Artificial Intelligence - Trends & Companies (mordorintelligence.com)

https://appinventiv .com/blog/what-is-predictive-analytics/

https://www.bangkokbiznews.com/environment/1118952

ปตท.สผ. จัดงาน Digital Transformation Day 2024 : PPTVHD36