Data As The New Oil
How AI is Reshaping the Oil & Gas Industry
Emergent technology has a tremendous impact, changing lives and transforming businesses. How can energy companies respond to these challenges?
Meeting the challenges of the data era
In a totally digital world, data is no longer just a by-product of doing business—it’s a huge strategic asset. This is particularly true for the Oil & Gas industry, where timely and accurate data is of the essence.
Each sensor, each meter reading, each corporate action generates a wealth of information that can tell you about your equipment status, technology landscape, processes, risks and areas for optimization. But, like oil, data needs to be processed and analyzed to unlock its value. Without the right tools and a sound approach, its true potential may remain untapped.
Smart data management is more than just an advantage—it’s an imperative. Businesses that adapt quickly and embrace data-driven decision-making gain a strong competitive edge.
Digital evolution: from ERP to generative AI
Over the recent 25 years, the Oil & Gas sector has come a long way on its technology transformation journey.
Meeting the challenges of the data era
In a totally digital world, data is no longer just a by-product of doing business—it’s a huge strategic asset. This is particularly true for the Oil & Gas industry, where timely and accurate data is of the essence.
Each sensor, each meter reading, each corporate action generates a wealth of information that can tell you about your equipment status, technology landscape, processes, risks and areas for optimization. But, like oil, data needs to be processed and analyzed to unlock its value. Without the right tools and a sound approach, its true potential may remain untapped.
Smart data management is more than just an advantage—it’s an imperative. Businesses that adapt quickly and embrace data-driven decision-making gain a strong competitive edge.
Digital evolution: from ERP to generative AI
Over the recent 25 years, the Oil & Gas sector has come a long way on its technology transformation journey.
Figure 1. Technology evolution: key milestones
In the early 2000s, companies began to explore ERP solutions such as SAP and Oracle to standardize and automate their processes. That was the first step towards digital transformation—a starting point for broader change.
The 2010s marked an era of rapid advances in the digital landscape. Businesses were increasingly adopting cloud technology, relying on data centers for affordable and scalable IT solutions.
Since 2015, the Internet of Things (IoT) has become part of our everyday life. Sensors and detectors are now essential for equipment functionality, delivering real-time data and enabling prompt response to changes.
During the pandemic, many businesses were forced to move to remote work and automate their processes. This acted as a catalyst for digital solutions, making sustainable IT infrastructure more critical than ever.
Today, we are on the cusp of a new and exciting era: that of generative artificial intelligence (GenAI). Capable of analyzing massive datasets, GenAI goes a step further by generating solutions and optimizing processes across the organization.
GenAI marks a new phase in digital transformation—one where algorithms can independently model potential scenarios and suggest innovative approaches.
For instance, a major industry player has already implemented predictive analytics to forecast equipment failures, reducing the risk of accidents and streamlining maintenance. Across the Oil & Gas sector, companies are developing proprietary GenAI solutions to support geological data analysis and optimize production workflows.
That said, AI adoption is not only about technology—it also involves transforming corporate culture. The focus must be on developing data science skills, training employees to use new tools and fostering an environment that supports innovation.
The 2010s marked an era of rapid advances in the digital landscape. Businesses were increasingly adopting cloud technology, relying on data centers for affordable and scalable IT solutions.
Since 2015, the Internet of Things (IoT) has become part of our everyday life. Sensors and detectors are now essential for equipment functionality, delivering real-time data and enabling prompt response to changes.
During the pandemic, many businesses were forced to move to remote work and automate their processes. This acted as a catalyst for digital solutions, making sustainable IT infrastructure more critical than ever.
Today, we are on the cusp of a new and exciting era: that of generative artificial intelligence (GenAI). Capable of analyzing massive datasets, GenAI goes a step further by generating solutions and optimizing processes across the organization.
GenAI marks a new phase in digital transformation—one where algorithms can independently model potential scenarios and suggest innovative approaches.
For instance, a major industry player has already implemented predictive analytics to forecast equipment failures, reducing the risk of accidents and streamlining maintenance. Across the Oil & Gas sector, companies are developing proprietary GenAI solutions to support geological data analysis and optimize production workflows.
That said, AI adoption is not only about technology—it also involves transforming corporate culture. The focus must be on developing data science skills, training employees to use new tools and fostering an environment that supports innovation.
AI in action: five transformation cases in Oil & Gas
- Exploration and deposit modelingImplementing machine learning in geological data analysis means faster interpretation of seismic data and higher modeling accuracy.
- Predictive equipment maintenanceAI-powered systems on drilling rigs analyze real-time data to predict equipment failures—reducing accident risks and optimizing maintenance interventions.
- Optimized logisticsDigitally powered logistics systems are designed for multi-factor analysis to streamline oil transportation routes. By factoring in weather conditions and other variables, they ensure a reliable and safe supply of essential resources.
- GenAI applicationsSystems relying on generative AI to analyze and optimize production processes can effectively support big data-driven decision-making.
- Computer vision for infrastructure monitoringDrones equipped with computer vision are revolutionizing pipeline and infrastructure inspections, delivering unparalleled accuracy and reducing maintenance costs.
All of these examples illustrate how AI is already reshaping the Oil & Gas industry by boosting efficiency, improving safety and driving more sustainable operations.
Figure 2. BaOne solutions for Oil & Gas
Transforming your business with BaOne: from data to impact
Experts at BaOne develop comprehensive solutions that integrate deep industry insights and cutting-edge technologies. Our primary focus is always on the efficiency and sustainability of Oil & Gas processes.
Experts at BaOne develop comprehensive solutions that integrate deep industry insights and cutting-edge technologies. Our primary focus is always on the efficiency and sustainability of Oil & Gas processes.
- Data management and snalyticsWe help companies craft effective data management systems, encompassing diverse architectures, integrated data sources and data quality assurance to support informed, data-driven decisions that enhance operational efficiency.1
- AI and machine learning applicationsAt BaOne, we develop and implement AI and machine learning-based solutions to tackle a range of challenges—from predictive analytics to optimizing production processes. Our models, for example, effectively predict equipment wear before failures occur, reducing the risk of downtime and minimizing maintenance costs.2
- Automating business processesWe rely on our proprietary tool, B1 Discoverit, for robust, digitally-driven analysis of labor and material costs to identify bottlenecks and routine tasks that could be automated. This helps our clients cut process costs by an average of up to 20%.3
- Developing digital products and solutionsWe offer end-to-end software development services—from business analysis and solution architecture to development, implementation and ongoing support. Our solutions are adapted to the Oil & Gas industry and designed to keep pace with evolving market demands.4
- Delivering IT excellenceOur expert team is here to lend a helping hand to businesses seeking to transform their IT function, by building effective application architectures, optimizing IT processes and structures, and cutting IT costs—all aimed at aligning IT strategies with corporate goals.
Digital transformation requires comprehensive planning to cover both technology and organizational aspects. Our goal is to be your trusted partner on this journey, offering solutions rooted in deep industry insights and state-of-the-art technology.5
Figure 3. Digital transformation in the energy sector
Big Data, paired with AI, is catalyzing transformative change across i the Oil & Gas industry. These technologies are more than just value-adds to existing processes, but genuine game-changers. Effectiveness, predictive capabilities and safety aren’t big promises anymore, but measurable results that many companies are already benefiting from.
Similarly, implementing digital solutions is not just about technology—it’s about driving manageable change across processes, culture and skillsets.
Similarly, implementing digital solutions is not just about technology—it’s about driving manageable change across processes, culture and skillsets.
Industry recommendations from BaOne: what to do today?
Evaluate your data management maturity: Start with a thorough audit of how your data is stored, used and maintained—and assess its overall quality.
Identify tasks AI can automate: These don’t need to be high-profile initiatives. In fact, narrowly focused pilots often yield the most business value.
Define your digital priorities and map them out: Document your transformation goals in a clear roadmap. Those with the agility to act swiftly not only benefit from improved efficiency but also establish a solid foundation for longer-term competitive advantage.
To put this simply—data is indeed the new oil. But its true value can only be unlocked through smart analysis, the right technologies and strong commitment to change.
FAQ
The timeline for custom software development depends on the client’s specific requirements, but projects typically range from one month to one year. For example, our fastest delivery to date was a hydraulic fracturing (fracking) monitoring app for daily oil production, built in just two weeks thanks to a highly focused scope, a skilled team, and streamlined processes. Factors like complexity, feature depth, integrations, and testing needs also influence the duration. We prioritize collaboration with clients to define clear goals, break down milestones, and ensure timely delivery without compromising quality. Every project is tailored to your unique needs, balancing speed and precision to achieve results efficiently.
The cost of custom software development varies depending on the project’s scope, complexity, and approach. Typically, we start by defining the core business objectives and establishing measurable success metrics. Next, we outline the required services and features through an assessment matrix, prioritizing them based on impact and feasibility. Once aligned with the client’s goals, we assemble a dedicated team tailored to the project needs. The final cost is determined by the team composition (e.g., size, expertise) and the agreed-upon timeline. This structured process ensures transparency and alignment with your budget while delivering solutions that drive measurable results.
Typically, integration with existing IT infrastructure is addressed separately before development begins. As a result, integrating custom solutions is often easier than integrating off-the-shelf software. Integration can be achieved via APIs, middleware, or custom connectors.
Yes, this is one of its key advantages. A modular architecture allows for adding features, scaling the system, and updating the logic as your business evolves.
Yes, ongoing support and maintenance are crucial. Regular updates, vulnerability fixes, adjustments to meet new requirements, and compliance adaptations are essential for ensuring stable operations.
- Vitali BaumA technology expert with over fifteen years of experience serving international companies.Specializes in digital transformation programs across various industries, with a special focus on implementing IT products for retail and e-commerce (both B2B and B2C), oil producers, OFS firms, insurance companies and pensions funds.
innovations@baone.ae
Discuss your project today
© 2025 BaOne FZCO
Address: Office 304/305, The Offices 2, One Central, Level 3, Dubai, UAE
www.BaOne.ae
Tel.: +971527278388
innovations@baone.ae
This website uses cookies to improve your user experience. If you continue on this website, you will be providing your consent to our use of cookies.
Accept