Kriti Sharma, CEO IFS Nexus Black. (Image source: IFS)

The global adoption of Industrial AI is accelerating rapidly, and is set to double from 32% to 59% within 12 months, according to a recent study from IFS, a leading provider of Industrial AI Sofware

However, according to The IFS Invisible Revolution Study 2025*, which surveyed over 1,700 senior decision makers at industrial enterprises globally, organisations are not fully prepared for its full implementation, creating what IFS calls the ‘AI Execution Gap,’ with 52% of senior leaders saying their management teams don’t fully understand AI, and 99% of global workforces requiring major reskilling to scale AI impact.

“AI is a core driver of business performance, it’s time to plug the AI Execution Gap – bring people, process and product together to deliver tangible outcomes,” said Kriti Sharma, CEO, IFS Nexus Black. “The pace of adoption is inspiring, but the next big unlock will come from scaling trust, strategy, and talent. Industrial AI is a powerful force for good, and we’re in a moment of opportunity: those who move fast will lead the next decade of industry.”

More than half of business leaders (53%) admit their organisation still lacks a clear AI strategy, yet the study clearly highlights the benefits available to companies that embrace AI. 70% of businesses report better-than-expected ROI from their AI investments, and on average 88% say AI has already improved profitability. Training and upskilling will be key to ensuring that industrial companies remain relevant.

Despite growing confidence in AI’s potential, there are still issues with trust. Only 29% of global leaders are comfortable allowing AI to make strategic decisions autonomously, while 68% say a human must still confirm or approve AI-generated outputs. Concerns about bias also persist. 65% of global leaders support the creation of an independent, international AI regulatory body to help close the trust gap.

Business model shift

The report highlights how Industrial AI is changing how businesses are run, automating maintenance, predicting disruptions, optimising supply chains, and facilitating intelligent decision-making across field service, asset management, and manufacturing. 54% of global organisations are using automation AI, while 45% are deploying predictive AI. Already, 35% are experimenting with Agentic AI, capable of autonomously executing decisions across workflows. Traditional business models are being influenced by AI with 77% of global leaders saying it is accelerating servitisation, the evolution from product sales to outcome-based services, where businesses deliver uptime, performance, and continuous value instead of just physical goods.

Sharma continued, “Industrial AI is moving into real-time, decision-grade intelligence embedded across the enterprise. It’s already securely automating the complex, predicting the unexpected, and powering new service-led business models. This is about shifting from tasks to transformation, and the organisations who embrace that shift will lead the next industrial chapter.”

patenThe Y-shaped drilling module is now rated for operating pressures up to 10,000 psi. (Image source: GD Energy Products)

GD Energy Products (GDEP), the solutions provider for the frac, drilling and well servicing pumps market, has released an upgraded version of its patented Y-shaped drilling module rated for operating pressures up to 10,000 psi, to meet increasingly challenging oilfield conditions

As drilling operations push towards longer laterals and higher-pressure environments, traditional L-shape valve-over-valve modules rated for 7,500 psi have suffered from accelerated wear, resulting in costly downtime and increased operational risk. GDEP’s Y-shaped module addresses these challenges with advanced bore geometry that minimises stress in high-load areas, improving the life expectancy of the module.

Made from heat-treated, high-grade alloy steel, the Y-shape’s unique internal bore geometry significantly reduces stress concentrations, extending the life of high-value parts and lowering total maintenance costs. Its API 7 standard-compliant valve assembly helps minimise fluid velocity, ensuring smoother flow and reduced wear.

The two-piece design helps to reduce maintenance costs, as operators can now replace only the suction component, rather than replacing the entire module.

Chris Degginger, vice president of engineering, GDEP, said, “Our Y-shaped module has been a trusted performer in the field for years. Its unique geometry has been field-proven to maintain performance even under the intense pressure requirements of modern drilling conditions. With its new 10,000 psi rating, operators can confidently tackle high-pressure operations while lowering maintenance costs and improving safety.”

The upgraded Y-shaped module is compatible with GDEP’s PZ 1600 and PZ 2000 pump models.

The new technology advances artificial lift oilfield intelligence. (Image source: Adobe Stock)

Halliburton has launched SK Well Pages as part of its Summit Knowledge (SK) digital ecosystem 

Halliburton’s SK integrates essential data sources and uses advanced data science to automate workflows, delivering a complete picture of ESP/HPS systems with automated workflows to improve quality control and operational efficiency. It helps the user make better decisions and maximise production and equipment life by incorporating historical engineering, manufacturing, and real-time operational data using artificial intelligence (AI) and machine learning (ML).

Advancing artificial lift oilfield intelligence, SK Well Pages features an all-in-one workspace for electric submersible pump (ESP) operations and provides real-time insights enabling operators to make faster, smarter decisions for optimal production.

SK Well Pages draws on deep ESP experience and advanced data science techniques to enhance data visibility with customisable and intuitive dashboards for proactive monitoring of real-time pump performance, surface sensors, and production data. The SK digital ecosystem integrates and powers advanced tools such as SpyGlass pump sizing software and the Intelevate platform for remote monitoring and control. Predictive models, intelligent alerts, and trend analyses help minimise downtime and increase production.

“We provide customers with advanced digital tools that give them clarity and control to make confident decisions. The Summit Knowledge digital ecosystem with SK Well Pages is a powerful step forward in the journey of how we deliver digital innovation for superior ESP optimisation,” said Greg Schneider, vice president, Artificial Lift, Halliburton.

(BEX MC3D dataset courtesy of DUG Multi-Client).

DUG Elastic MP-FWI Imaging enables simultaneous inversion of reflectivity (3-component, directional, horizontal), P-wave velocity, S-wave velocity, density, P-impedance and S-impedance, providing quantitative interpretation-ready outputs of the highest resolution and amplitude fidelity — using field data input.

The traditional processing workflow involves the testing and application of dozens of steps such as deghosting, designature, demultiple and regularisation, which are all designed to overcome the limitations of conventional imaging. These workflows are complex, subjective, and very time-consuming due to their serial nature and they rely on many assumptions and simplifications. All of these issues impact the output data quality. The resulting, primary-only data then undergoes a similarly complex model-building workflow to derive an estimate of the subsurface velocity, which is used for depth imaging. Post-migration processing is performed before the pre-stack reflectivity undergoes another workflow to derive rock properties that feed into quantitative interpretation, also relying on simplifications of the actual physics. As a result of these workflows, projects can take many months to years to complete.

DUG Elastic MP-FWI Imaging is a unique approach to seismic processing and imaging which turns the traditional paradigm on its head. It replaces not only traditional processing and imaging workflows, but also the subsequent inversion workflow for elastic rock properties. It simultaneously resolves not only subsurface structural features but also quantitative rock property information while avoiding the need for extensive data pre-processing and (post-imaging!) AVA-inversion workflows.

Elastic MP-FWI Imaging accounts for both compressional and shear waves, handling variations in seismic wave dynamics as a function of incidence angle, including in the presence of high impedance contrasts and onshore near-surface geological complexity. Multiples and converted waves are now treated as valuable additional signal, increasing sampling, resolution and constraining the inverted parameters.

In the figure above we see the successful application of DUG Elastic MP-FWI Imaging to generate accurate models of Vp, P-impedance, S-impedance, density and Vp/Vs ratio directly from raw field data. These quantities were derived without the need to generate angle stacks for an AVA inversion workflow. The Elastic MP-FWI Imaging derived quantities are geologically conformable and show a significant increase in resolution. We can readily identify the reservoir location and fluid effects — a beautiful example of a flat spot!

DUG Elastic MP-FWI Imaging removes the subjectivity of traditional workflows with respect to the generation of vital quantitative interpretation attributes.

A complete replacement for traditional processing and imaging workflows is no longer a stretch of the imagination. Visit dug.com to see more outstanding DUG Elastic MP-FWI Imaging results.

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