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The MoU signing. (Image source: Cloudera)

Cloudera and Aramco have agreed to collaborate to build AI-powered solutions to support the growth of the digital oil and gas sector in Saudi Arabia, combining Aramco’s industry expertise with Cloudera’s innovative data solutions

A particular focus will be developing and upskilling Saudi local talent in data engineering, data science, and analytics.

Cloudera and Aramco will jointly develop and implement data-driven solutions that leverage Cloudera's platform to further enhance Aramco's operational efficiency and competitiveness, unlocking new insights and driving business value through advanced data management, security, and analytics capabilities.

Cloudera and Aramco also plan to advance AI and data research, exploring emerging trends and technologies in big data, AI, and data science.

Cloudera's hybrid data-cloud solutions offer a robust foundation for securely managing data across environments while maintaining unified governance and real-time analytics capabilities. This aligns with Aramco's forward-looking vision in the data and AI field.

Ahmad Issa, regional vice president of the Middle East for Cloudera, said, “In seeking to collaborate with Aramco, our goal is to empower local professionals with the tools and knowledge they need to thrive in a data-driven economy. By investing in human capital, we’re supporting individual careers while contributing to the broader ecosystem of innovation and growth in Saudi Arabia.”

“We’re excited about the opportunity to contribute to Saudi Arabia’s digital economy, working with world-class organizations like Aramco to make smarter, data-driven decisions to stay ahead in today’s fast-paced world.”

A comparison of DUG Elastic MP-FWI Imaging with traditional workflows. (Image source: DUG)

DUG shows how you can leap entire workflows in a single bound with DUG Elastic MP-FWI Imaging

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.

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.

Workflow 1

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.

As well as three-component reflectivity and velocity, DUG Elastic MP-FWI Imaging enables the estimation of fundamental rock properties like P-impedance, density and Vp/Vs from field data, without the need for a secondary amplitude variation with angle (AVA) inversion step. DUG Elastic MP-FWI Imaging 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.

Get in touch

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!

Talk to us today. Contact This email address is being protected from spambots. You need JavaScript enabled to view it.

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Key energy industry use cases enabled by IoT Nano include pipeline monitoring. (Image source: Adobe Stock)

Viasat a global leader in satellite communications, has launched its next generation IoT Nano connectivity service to deliver powerful, two-way messaging connectivity even in the most remote and challenging environments

IoT Nano is designed to meet growing global demand for cost-effective, low-data, low-power, Internet of Things (IoT) services across remote and challenging environments where mobile connectivity is often required. It enables organisations to effectively monitor and control fixed and mobile assets with ultra-reliable satellite coverage, especially in geographically dispersed, isolated, or hard-to-reach areas where terrestrial networks are limited or non-existent, through Viasat’s global L-band network.

Powered by ORBCOMM’s next-generation satellite IoT service, OGx, IoT Nano offers faster message delivery speeds, larger message sizes, and new hardware options, unlocking near real-time visibility and situational awareness and richer, more actionable data for energy operations even in remote locations.

Use cases

Key energy industry use cases enabled by IoT Nano include:

Asset tracking: Monitoring the location and movement of valuable equipment and vehicles across vast operational areas (e.g., pipelines, machinery, fleets).
Pipeline monitoring: Detecting anomalies, leaks, and ensuring the integrity of critical oil, gas, and water pipelines.
Security: Enhancing surveillance and access control for remote utility and oil & gas sites, including wellheads, substations, and pumping stations.
Tank level monitoring: Managing levels in storage tanks for oil, gas, and water, optimising supply chain and preventing overflows.
Telemetry: Collecting and transmitting vital operational data from remote sensors and devices for real-time insights and predictive maintenance.
Remote site monitoring: Gaining visibility into the status of pumps, generators, and other critical infrastructure in isolated locations.


Andy Kessler, vice president, Enterprise and Land Mobile, Viasat, said, "The IoT Nano service represents a significant advancement in providing flexible, scalable, and energy-efficient IoT connectivity to businesses operating in the most remote corners of the world. By leveraging the enhanced capabilities of the ORBCOMM OGx service and equipping our partner ecosystem with new low-cost modules and service capabilities, we are empowering customers with access to smarter data, more frequently, in more places, at a lower cost."

“OGx delivers faster speeds, larger messages, and lower power usage, all backed by ORBCOMM’s proven terminals, network, and field support,” said Dave Roscoe, president of Satellite IoT at ORBCOMM. “By lowering the cost and increasing the effectiveness of satellite connectivity, OGx makes it possible for our partners to enter new markets, expand use cases, and drive incremental growth.”

The BRUTE Armor packer. (Image source: Expro)

Expro has launched the BRUTE Armor Packer, a high-pressure, high tensile packer system, designed for the extreme conditions of deepwater wells and the highest differential pressures

The new technology gives operators the flexibility to set higher in the wellbore – saving rig time, reducing operational risk, and simplifying regulatory compliance.

According to the company, when deployed with the BRUTE 2 Storm Valve, it forms the industry’s highest-rated storm/service packer and valve combination currently available.

Following the release and successful deployment of the 12,850 psid-rated 12.15” BRUTE Armor Packer System under extreme downhole conditions, Expro has also introduced a new 20”/22” Packer System addressing the challenges of 20” and 22” retrievable mechanical packer systems, often constrained by internal diameter (ID) limitations, such as subsea high-pressure wellhead housings and supplemental casing adapters. Offering twice the element expansion capability of traditional mechanical packers, the new system delivers efficient, reliable performance for casing testing, suspension, and squeeze applications, all without compromising operational effectiveness.

The first deployment of the 20”/22” Packer System took place in June 2025, during an offshore campaign for a super-major operator in the Gulf of America. The packer passed through restrictions in the high-pressure wellhead housing and supplemental casing adapter before being installed in a larger ID below both components. It achieved full element expansion and pressure integrity on the first attempt, validating the tool’s enhanced expansion capability, enabling efficient casing isolation while reducing rig time and operational risk.

Jeremy Angelle, vice president of Well Construction commented, “This launch firmly establishes Expro’s BRUTE Packers as the industry benchmark for deepwater storm and test packers in terms of pressure and tensile strength. The modular toolset provides unparalleled flexibility, making it the most adaptable solution on the market and positions Expro as the partner of choice for next-generation 20k deepwater developments.”

The collaboration will enable TotalEnergies to extract more value from its data. (Image source: Adobe Stock)

TotalEnergies and Emerson’s Aspen Technology business are collaborating to deploy Emerson’s AspenTech Inmation across TotalEnergies’ industrial sites worldwide for the continuous, real-time collection of data

The data will be centralised and accessible securely across the organisation. It will be used to enhance decision-making, specifically through the use of artificial intelligence (AI), and to optimise operational efficiency, energy use and environmental performance at TotalEnergies sites worldwide.

The digital infrastructure, which also includes Emerson’s advanced process control solutions, will subsequently allow TotalEnergies to deploy AI use cases to improve industrial performance.

This rollout is planned over a two-year period and will ultimately enable TotalEnergies to extract more value from its data by accelerating the detection of anomalies and performance degradation; optimising energy consumption; enhancing operational safety; and speeding up the integration of AI into industrial processes.

“At TotalEnergies, digital technology is a key enabler of our transformation toward a more sustainable and efficient energy future. Our collaboration with Emerson demonstrates how advanced technologies such as Inmation help us optimise operations, reduce emissions, and generate long-term value. This collaboration is a sign of our intention to turn data and digital tech into the hallmarks of our facilities’ industrial excellence,” said Namita Shah, president of OneTech at TotalEnergies.

“Emerson’s Aspen Technology business has worked with TotalEnergies for almost 30 years, and we’re excited to continue our collaboration by supporting their operational and sustainability objectives with our digital technologies. The powerful combination of AI and our industrial data fabric solution will serve to accelerate TotalEnergies’ mission,” said Vincent Servello, president of Emerson’s Aspen Technology business.

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