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Digitalisation and AI will create close to US$500bn in cumulative value for E&P companies between 2026 and 2030. (Image source: Adobe Stock)

Digitalisation and artificial intelligence (AI) will create around US$500bn in cumulative value for E&P companies between 2026 and 2030, according to new analysis from Rystad Energy, creating a huge market for digital solutions

Cost reductions from more efficient operations, production increases from higher uptime and increased recovery, and compressed development timelines contribute to this value creation. Exploration and production (E&P) companies currently investing in digital and AI are expected to capture an additional value of US$80bn per annum in 2030 compared to 2025.

The returns are already visible in the industry, Rystad notes. ADNOC reported US$500mn in AI-driven value already in 2023, and has committed US$1.5bn in digital capital expenditure targeting US$1bn in annual value creation. Norway’s Equinor generated around US$200mn in AI-related savings between 2021 and 2024, and reported US$130mn in 2025 alone.

The US$500bn value creation opportunity in upstream oil and gas encompasses four main workflow categories: asset development, operations and maintenance, exploration and reservoir development, and  drilling, wells and production. Each is at a different stage of digital maturity. Digitalisation within exploration and reservoir development is relatively well established. Operations and maintenance is now seeing more rapid adoption, with predictive maintenance and remote operations delivering cost reductions. Subsurface workflows hold the largest untapped value potential, especially from getting more volumes out of the ground and reducing drilling costs. Some operators have, for instance, compressed seismic interpretation timelines from months to around 10 days.The early adopters of these technologies typically have digitalisation and AI as an integral part of their strategy.

Capturing the value at stake requires investment in digital tools, infrastructure and integration, and E&Ps are estimated to have spent around US$25bn on digital and AI purchases in 2025. The market for providing these tools and services is expected to grow by more than US$10bn by 2030, surpassing US$35bn in total annual market size and approaching US$50bn by 2035.

However, the main barrier to capturing this value is deployment at scale, says Rystad. Partnerships with suppliers and technology experts are increasing to reduce complexity, and simplify integration, typically through platform solutions. Traditional oilfield service (OFS) providers with domain expertise, and technology experts such as integrators or hyperscalers are among the most important partners for E&Ps, with the commercial model shifting from transactional service delivery towards integrated technology partnerships that can leverage an ecosystem of players, platforms and scalable tools.

AI is accelerating the value potential of digital solutions in oil and gas. Despite many breakthroughs, most current AI applications in upstream rely on traditional machine learning models trained on equipment and workflow-specific data, which takes years to accumulate, and models may require significant rework. Newer AI approaches may change this, for instance through agentic AI automating tasks and augmenting humans in a way that breaks down organisational silos and acting as a contextualising layer that functions across varied data types without full retraining.

Rystad puts forward a scenario where AI accelerates the value creation even further, with breakthroughs simplifying integration and compressing adoption timelines. This accelerated AI scenario would also require additional spending on digital solutions, and the value creation gap between early adopters and followers could widen even more.

Casper Herzog, CEO of AVEVA, addressing the conference. (Image source: Alain Charles Publishing)

At the opening of AVEVA World 2026 in Milan on 19 May, AVEVA’s chief executive officer Caspar Herzberg highlighted how industrial intelligence breakthroughs can spark fresh possibilities at a time of a new operational reality

Addressing the packed gathering, the CEO of the leading global industrial software company addressed the challenges posed by increasing geopolitical volatility and unpredicatability, multiple paradigm shifts and a multipolar world of conflicts, economic warfare, trade disputes, tariffs and changing supply chains.

“Energy systems are being rewired not just to have electrification but to have resilience and redundancy as core motifs of this rewiring,” he said, citing the renewed focus on hydrocarbons, nuclear and coal. “So we have multiple build outs of generation assets all over the world.”

This trend will be intensified as generation assets are now strategic targets, making it all the more important to have multiple options.

“At the same time we are seeing the rise of generative, agentic and physical AI upending work, creating promises but also challenges in making those promises work in the industrial world we live in.”

As a result of all these pressures there is a “race to resilience”.

“What all these conflicts, these wars and trade disputes have reinforced is that those countries that diversify or have diversified their supply chains and their energy systems withstand these shocks better,” Herzberg said, adding that policies supporting resilience and multiple options will become a national imperative.

“This is not all doom and gloom, because hand in hand with these industrial policies and this need to diversify come infrastructure and digital capability investments, as not only companies but also states rebuild their value chain for redundancy and resilience. Our customers are powering this next generation of industrial infrastructure.”

Wood, for example is using AVEVA unified engineering, PI system, unified supply chain and CONNECT all together to create digital twins that reduce rework, improve collaboration, and preserve lifecycle continuity.

Going on to discuss innovation, Herzberg drew parallels with the Italian Renaissance, and the idea that humanity has to be at the centre of science and progress. “Today we face a lot of the same pressures, we have some amazing technological capabilities, we have the power of AI, but we must keep humanity, people at the centre of decision making.

“So this moment that I would call powering possibility is defined not only by volatility but by new possibilities, positive possibilities. Imagination is meeting digital capability. There are challenges, with the bottom line and increasing complexity, but there is a large positive opportunity that we can now access at a much faster pace than in the past. To seize that opportunity means creating scale, and creating scale requires integrated software. Intelligence means optimising performance, and that requires intelligent software, and empowering people requires intuitive software.

“That brings us to AVEVA and our quest to deliver software that is integrated, intelligent and intuitive.”

Herzberg charted AVEVA’s progress since the launch of its multi-year technology strategy in 2024. Highlighting some recent developments, he said,

“In the first quarter of this year our generative design assistant brought AI capabilities in unified engineering to our customers for the very first time, where predictive design models surface issues much earlier, and where automated point cloud intelligence reduces manual effort.”

The company also announced a lifecycle digital twin for the data centres of the future with Schneider and NVIDIA, which brought unified engineering process simulation and the PI System together in one capability via the NVIDIA Omniverse viewport.

New collaborations

Key to enhancing AVEVA’s capabilities has been its strong partner ecosystem.

“We’re all about the open partner-powered ecosystem. We believe in bringing everybody together for the benefit of industry and the customers we serve,” Herzberg said.

Herzberg announced several new partnerships to strengthen AVEVA’s innovation roadmap, including an agreement (subject to regulatory approval) to acquire Twinthread, a leading provider of predictive analytics, of digital twins and AI for industrial end markets. This will add an advanced AI layer to AVEVA’s data and analytics foundation on CONNECT, AVEVA’s industrial intelligence platform.

“It’s a super powerful capability that enables engineers to improve quality, throughput, asset life and energy efficiency much more rapidly,” Herzberg said.

AVEVA also announced a strategic collaboration with SnowFlake, the AI Data Cloud company, which establishes a direct, zero-copy integration between CONNECT and Snowflake’s AI Data Cloud. It expands AVEVA’s cloud scale intelligence capabilities and enables data to be accessed and used without duplication, helping organisations to move from fragmented IT and OT systems to a governed, enterprise-wide data foundation.

Another strategic partnership between AVEVA and Amazon Web Services (AWS) will accelerate the delivery of industrial intelligence in the cloud, seeing AVEVA expand its CONNECT platform on AWS as part of its broader move to a multi-cloud architecture. By bring CONNECT and the broader AVEVA portfolio to AWS, the two companies aim to give industrial customers a faster, more scalable path to cloud-native operations, reducing the complexity and cost of managing on-premises infrastructure while enabling new AI-driven capabilities that were previously impractical at scale.

Further embodying the spirit of radical collaboration, AVEVA announced a new partnership with IFS, a global leader in industrial AI, to advance AI-powered Continuous Asset Decision Intelligence. The new solution is designed to turn real-time operational and asset data into smarter maintenance, investment and execution decisions across the integrated asset lifecycle, unifying operational intelligence, enterprise execution and strategic capital planning and creating one connected decision flow where every participant in the value chain has the information and AI-enriched insight they need to act with speed and confidence.

“Our partnership with IFS connects data and insights in powerful new ways, from sensor to boardroom,” Herzberg said.

2026 will be a year of acceleration for AVEVA, as AI increasingly transforms industry.

“First we‘re going to double down on industrial AI, and CONNECT is the backbone that enables that. There will be much more investment in those capabilities,” Herzberg said.

“Second, we are increasingly focused on cloud native analytics, AI and digital twins and applications.” AVEVA leaders expanded on the details in following sessions.

New solutions and features will include a digital twin builder that publishes engineering content all the way to CONNECT; an intelligent industrial knowledge graph that contextualises data to PI; enhanced capabilities for PI and PI Vision; a new intuitive UX for CONNECT; and unified engineering and unified visualisation by HMI SCADA on CONNECT.

The opening session of AVEVA World also saw AVEVA customers share their insights and experiences of harnessing the power of digital innovation to open new possibilities. The USA’s TC Energy is using AVEVA software to optimise power supplies to customers across the US market; Porsche MotorSport is using data-driven insights to drive winning performance; and Italy’s Saipem is blending industrial AI and AVEVA Unified Engineering in the cloud, enabling teams to optimise design efficiency, carbon footprint and speed to market.

AVEVA World 2026 is the largest ever edition of AVEVA’s annual flagship conference, bringing together around 4,000 industry leaders, innovators and engineers including 200 students from local universities.

The platform has been extended into the operations phase of subsea project lifecycles. (Image source: Adobe Stock)

FutureOn, a global offshore energy software company, has launched FieldTwin Operate, a digital twin for subsea operations that bundles project design, engineering, and inspection data in a single geospatial operational environment

Earlier, FieldTwin Design was primarily used in the early concept design stage of field development but now with FieldTwin Operate, the platform has extended into the operations phase of subsea project lifecycles. Teams can work on initial project data from FieldTwin Design in day-to-day operations through a governed digital thread.

Throughout the subsea assets, crucial information is often spread across multiple engineering models, geographic information system (GIS) platforms and inspection records. Operations teams assemble data manually to build a complete view of the field and it is a time-consuming process which often results in missing out on critical project information.

FieldTwin Operate connects all project data into a single, always-current geospatial view of the field, enabling faster, more informed decision-making. Designed to be used in both greenfield and brownfield environments, the digital twin integrates with existing enterprise systems and industrial data platforms through open APIs. For older brownfield assets where no 3D model exists, the platform can incorporate existing data sources such as GIS coordinates, spreadsheet tag lists, ROV inspection footage, and point cloud scan data.

“Operators don’t have a shortage of data. They have a shortage of usable context from across the project lifecycle. As energy projects evolve, the burden shifts onto engineers to piece together what is happening in the field, often without having the full digital thread from the start of the project. That slows decision-making and introduces unnecessary risk,” stated Stig Wølstad-Knudsen, CEO of FutureOn.

“FieldTwin Operate solves this problem by giving teams a clearer view of their assets in a live operational context, so they can understand issues faster and act with greater confidence in day-to-day operations,” adds Wølstad-Knudsen. FieldTwin Operate is available globally for all the customers of FutureOn.

Project data accessibility and continuity has been a challenge across the energy industry. 50% of oil and gas companies are already using digital twins to manage assets and the adoption of digital twins is likely to increase across oil and gas operations.

The collaboration extends trusted data, domain science, operational expertise, and applied AI to support predictive, asset-level decision-making over the full production lifecycle. (Image source: Adobe Stock)

Halliburton and Shape Digital have collaborated to advance digital asset performance management through a unified asset view that connects subsurface and surface intelligence

The collaboration extends trusted data, domain science, operational expertise, and applied AI to support predictive, asset-level decision-making over the full production lifecycle.

As production systems come more complex and interconnected, production performance can only improve if reservoirs, wells, networks, equipment, and safety systems can be managed as a single connected asset. Integrating engineering models with operational data provides a clearer system-level view and enables more consistent decision-making throughout production operations.

“At the core of this collaboration is the ability to connect decisions throughout the production system. The integration of subsurface and surface intelligence helps our customers plan with confidence, adapt to change, and execute more consistently throughout the asset lifecycle,” asserted Tony Antoun, senior vice president of Halliburton. “Together with Halliburton, we bring operational intelligence and applied AI into the context of real production systems,” added Felipe Baldissera, CEO of Shape Digital.

Halliburton Landmark’s Digital Field Solver (DFS) decision system has been combined with Shape Digital’s applied AI portfolio: Shape Lighthouse, Aura, and Reef. Landmark’s integrated reservoir, well, and production network models serve as the foundation, while Shape Digital provides expertise in equipment reliability, energy efficiency, and safety throughout surface operations. Together, the solution supports connected decision workflows.

Landmark’s integrated production models receive continuous updates from surface intelligence related to equipment condition and reliability. Shape Digital evaluates live and historical equipment behavior through AI, while Landmark feeds the system context to understand effects on flow, constraints, and production targets. This connection has enabled team to identify constraints earlier and respond more quickly to variability while maintaining alignment irrespective of the changes in operating conditions.

Detailed facilities data such as live and historical operating conditions are brought together with Landmark’s production schedules and real-time production context. Shape Digital then utilises AI and engineering expertise to analyze facilities' performance and energy consumption, while Landmark presents a clear view of how operational adjustments are interacting with production plans and system constraints. This is how team can assess tradeoffs between energy efficiency and production objectives, while maintaining execution stability.

Through Shape Digital’s focus on facilities' health and operational risk indicators, Landmark provides the subsurface context required to understand how risks can propagate throughout the asset. Integrity concerns can be much earlier identified and it helps to improve coordination between subsurface and surface teams during safety-critical decisions.

For a faster alignment on priorities, operations, maintenance, safety, and engineering teams work from a shared system view. The path from insight to action is significantly reduced and teams can be more consistent in production operations.

The collaboration between Halliburton and Shape Digital has paved a path toward decisions grounded in science, informed by intelligent automation, and validated through real-world operations. By maintaining a constant connection between subsurface and surface intelligence, this approach certainly helps operators manage complexity, maintain execution consistency, and maximise performance throughout the asset lifecycle.

The acquisition adds advanced managed pressure drilling capabilities to Expro's portfolio. (Image source: Adobe Stock)

Energy services provider Expro is strengthening its drilling and completion capabilities with the acquisition of Norway-based Enhanced Drilling, a technology leader in managed pressure drilling (MPD), in a deal valued at around US$215mn

The proposed acquisition advances Expro’s strategy to grow through differentiated, technology-enabled solutions by adding advanced managed pressure drilling capabilities that enable improved efficiency and simplified well architecture within challenging formations where conventional drilling approaches are less effective.

Enhanced Drilling’s capabilities also enable earlier involvement in well construction design and planning, allowing Expro to help customers solve critical technical challenges that improve well delivery, reduce operational risk, and increase execution certainty.

The acquisition will enable Expro to work more closely with its clients to optimise their drilling and well construction designs and programmes, strengthening the competitiveness of Expro’s broader portfolio in the drilling wells market and helping to accelerate growth as the technology scales across global offshore markets.

Enhanced Drilling has a long track record of delivering proprietary MPD solutions across offshore environments. Its technologies are designed to help operators manage narrow drilling windows, improve wellbore control and reduce non-productive time, and can simplify well designs by reducing casing requirements, improving overall well construction efficiency. Leveraging Expro’s global operating footprint and customer relationships, the acquisition is expected to accelerate the broader international adoption of Enhanced Drilling’s technologies in key offshore basins.

Michael Jardon, Expro chief executive officer, said, “We are delighted to announce our proposed acquisition of Enhanced Drilling and look forward to welcoming the team to Expro. Enhanced Drilling is a strong strategic fit that expands our portfolio and strengthens our relevance in Norway, a market recognised for technical leadership in offshore operations. Their MPD technologies complement Expro’s existing capabilities and align closely with our focus on helping customers improve efficiency, manage risk, and deliver wells with greater certainty. We believe Expro’s scale and operating footprint can accelerate access to these technologies across a wider range of offshore markets.”

Kjetil Lunde, chief executive officer at Enhanced Drilling, added, “This transaction marks an exciting new chapter for Enhanced Drilling and our employees. Becoming part of Expro provides an opportunity to scale our technologies through a global organisation with deep operational expertise and long-standing customer relationships. We look forward to working together to expand the reach of our solutions.”

The transaction is expected to close in the third quarter of 2026.

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