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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.

DUGworkflowDUG 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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DUG Elastic MP-FWI Imaging leaps entire workflows in a single bound, delivering unsurpassed imaging and high-resolution rock properties from field-data input. Superior outputs, in a flash!
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The achievement demonstrates the proven scalability and reliability of Expro’s cementing technologies in one of the world’s most technically demanding operating environments. (Image source: Adobe Stock)

Expro has successfully delivered a fully remote five-plug cementing operation in the Kingdom of Saudi Arabia following its first cementing job in the Kingdom in January, marking a significant evolution of the company’s expansion in the Middle East

The fully automated cementing operation – a world first, according to the company – was executed using Expro’s Generation-X Remote Plug Launcher (RPL) and proprietary SkyHook cement-line make-up device, enabling a complex, multi-stage cement job to be completed with zero red-zone entry or man-riding operations, setting a new industry benchmark for personnel safety and operational control.

The complex five-plug stage-cementing operation was executed for a challenging 9-5/8” casing run in a high-pressure gas well - the longest of its kind in the field. Utilising Expro’s modular Generation-X™ RPL, all of the five downhole components were pre-loaded in a controlled shop environment and then remotely launched at the well site with precision. Expro’s modular cement head allowed the operator to eliminate high-risk tasks at the rig site, significantly reducing rig time, and enhancing the overall well integrity through optimised cement placement and effective zonal isolation. Further deployments have also testified to the safety, efficiency and operational integrity benefits of the new technology.

Jeremy Angelle, vice president of Well Construction at Expro, said: “Our entry into Saudi Arabia is more than just geographic expansion - it’s about transforming cementing operations through advanced engineering. This breakthrough showcases our Generation-X and SkyHook technologies as world-class innovations that drive measurable safety and efficiency gains.

“Both the Generation-X launcher and SkyHook system were designed with safety, control, and field adaptability in mind.To see them deliver such strong results in a new region is a proud moment, and a signal of what’s possible as we grow our well construction capabilities globally.”

Expro continues to invest in expanding its presence in the Kingdom and beyond, in the oil, gas and geothermal markets.

The agentic AI solution will be deployed across ADNOC's subsurface operations. (Image source: SLB)

SLB and AIQ, the Abu Dhabi-based AI company focusing on the energy sector, will collaborate to advance AIQ’s deployment of its ENERGYai agentic AI solution across ADNOC’s subsurface operations

ENERGYai combines large language model (LLM) technology with cutting-edge agentic AI, which is trained for specific workflows across ADNOC’s upstream value chain. ENERGYai will power agentic AI to automate complex, high-impact tasks, increasing efficiency, enhancing decision-making and optimising production across ADNOC’s operations and thereby accelerating the impact of AI-driven energy transformation. AIQ and SLB will jointly design and deploy new agentic AI workflows across ADNOC’s subsurface operations, including for geology, seismic exploration, and reservoir modelling, supported by SLB’s Lumi data and AI platform, and other digital technologies.

A scalable version of ENERGYai is under development, which will include AI agents covering tasks within subsurface operations, with deployment commencing in Q4 2025.

“The collaboration between AIQ and SLB enables the development of sophisticated AI workflows that integrate seamlessly with ADNOC’s infrastructure, driving efficiency, scalability, and innovation at every stage of the energy lifecycle,” said Dennis Jol, CEO of AIQ. “Our ENERGYai agentic AI solution is pioneering in its sheer scale and impact, and we are proud to involve other significant industry technology players in its development and evolution.”

“Our collaborations with AIQ have already delivered innovative solutions, and now we are supporting the building of the foundation for the next era of intelligent energy operations together with AIQ’s ENERGYai . This agentic AI solution is set to drive long-term value and operational resilience across ADNOC’s energy value chain,” said Rakesh Jaggi, president, Digital & Integration, SLB.

See also: https://oilreviewmiddleeast.com/technical-focus/aiq-win-us-360mn-adnoc-for-agentic-ai-deployment

https://oilreviewmiddleeast.com/technical-focus/adnoc-aiq-launch-proof-of-concept-trial-of-energyai

https://oilreviewmiddleeast.com/technical-focus/slb-launches-lumi-data-and-ai-platform

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