DUG Insight combines interpretation, visualisation, processing, imaging and quantitative analysis – at any resolution. (Image source: DUG)

With operators across the Middle East acquiring tens of thousands of square kilometres of high-fold 3D and OBN seismic data, today’s interpretation challenge spans hundreds of billions of traces – demanding next-generation software built for true scale

Modern exploration teams need more than incremental upgrades; they need to connect every stage of the seismic workflow and make collaboration seamless.

For many companies, that challenge is compounded by fragmented workflows – with processing, imaging, and interpretation handled on separate packages. DUG Insight eliminates that complexity, uniting every stage of the seismic workflow within one powerful, interactive software designed for scale, speed, and collaboration.

Built first for DUG’s own geoscientists and now used in over 35 countries, DUG Insight combines interpretation, visualisation, processing, imaging and quantitative analysis – at any resolution. Designed for seismic/single/multi-channel and sub-bottom profiler data, the software offers a complete suite of industry-leading tools, with integrated 3D visualisation and mapping for pre-stack, 2D/3D and time-lapse studies. Quantitative interpretation (QI) functionality includes statistical rock physics and simultaneous absolute inversion. Featuring an intuitive, interactive interface, DUG Insight automates labour-intensive tasks and enables a seamless, productive user experience, while encapsulating project configuration and operation within a consistent workspace. Crucially for operators evaluating platform strategy, DUG Insight is not “interpretation-only” or “processing-only” – it is both, by design.

The software supports both on-premises and cloud-based deployments through DUG’s high performance computing system, with flexible licensing and round-the-clock technical support. Recent developments include AI-assisted interpretation tasks such as log interpretation and fault picking, further enhancing efficiency.

DUG’s continual investment in research and development keeps DUG Insight at the leading edge. The company’s revolutionary elastic multi-parameter FWI imaging technology, included in DUG Insight, is a complete replacement for the traditional seismic processing, imaging and elastic rock property inversion workflows.

With its new office in Abu Dhabi, DUG is working even closer with regional partners to support large-scale land and offshore projects across the Middle East. Whether for mega-merges, massive OBN datasets, or ultra-dense onshore surveys, DUG Insight is a single unified software to process, image, interpret and analyse seismic data – efficiently, interactively and at any scale.

The report includes real-world case studies from the region.

A new CDE report, produced in association with Oil Review Middle East, highlights the benefits of soil washing technology for the remediation of hydrocarbon-contaminated land

Hydrocarbon-contaminated land poses a significant threat to ecosystems, economic development and human health. The Middle East region is one of the most affected, given the predominance of the oil and gas industry and contamination from legacy conflicts.

The new report, titled 'Restoring oil-contaminated land through washing technology' discusses the scale and impact of the problem and how advanced soil washing technology not only effectively restores contaminated land with relatively low carbon footprint and operating costs, but turns it into re-usable materials, converting waste into a valuable resource.

The Middle East therefore presents a significant opportunity for this technology, given governments and industries are increasingly prioritising sustainable construction, land remediation and circular economy practices.

The report includes real-world case studies from the region. In Kuwait, two CDE soil washing plants have to date processed more than eight million tonnes of oil-contaminated land, producing re-usable sand and aggregates with less than 1% residual contamination. While in Saudi Arabia a CDE plant converts oil-impacted waste into reusable materials, aligning with Vision 2030 circular economy objectives and sustainable construction initiatives.

Download the report, 'Restoring oil-contaminated land through washing technology'. 

The system monitors cementing equipment in real-time, prepares for upcoming jobs, and provides direct insight into equipment operation and performance. (Image source: Halliburton)

Halliburton has launched LOGIX unit vitality, an AI-powered platform that delivers actionable insights that improve equipment readiness, reduce downtime, and optimise operational efficiency

The system monitors cementing equipment in real-time, prepares for upcoming jobs, and provides direct insight into equipment operation and performance.

The platform uses real-time data and AI-driven models to provide actionable insights into equipment readiness that help increase reliability, efficiency, and barrier execution consistency. The system connects critical cement unit components to intelligent controllers and monitors more than 400 real-time parameters to ensure optimal performance. Data flows into a secure cloud, where machine learning models immediately process and analyse it to deliver constant insight into equipment health, operational readiness, operator performance, and preventive maintenance recommendations.

In high-demand cementing environments, equipment reliability is essential. Traditional maintenance methods, such as manual inspections and scheduled tests, often miss early signs of wear. This approach can lead to failures between inspections, unplanned downtime, and fails to provide real-time insights into equipment health.

LOGIX unit vitality combines the power of AI with human expertise to operate smarter, respond faster, and execute with confidence. This system supports Halliburton's land-based Elite and the new Elite Prime cement units. Offshore equipment deployment will begin in 2026.

“LOGIX unit vitality delivers unprecedented visibility into equipment health and operator performance. Artificial intelligence (AI) and real-time data transform equipment maintenance from reactive to predictive to help customers gain greater insight into their operations and reduce non-productive time,” said Daniel Casale, vice president, Cementing, Halliburton.

The LOGIX automation and remote operations family of solutions includes analytics and visualisation services that deliver reliability, consistency, and efficiency. This enables smarter decisions, improved performance, safer operations, and lower total cost of ownership. LOGIX™ automation and remote operations helps provide the insights and solutions that operators need to maximize their asset value. With real-time adaptability from machine learning algorithms and dynamic adjustment of drilling parameters, LOGIX™ automation and remote operations helps ensure optimal operations even in difficult geological formations.

Tela leverages agentic AI to automate processes, transform workflows and drive better business outcomes. (Image source: SLB)

SLB has launched Tela, an agentic AI assistant for the upstream energy sector

Tela leverages agentic AI to not only automate processes but transform workflows and drive better business outcomes. Tela will be embedded in SLB’s portfolio of applications and platforms, and users will interact through a simple conversational interface, enabling agentic AI to act as a proactive collaborator.

Tela, which is deployable on cloud or on premises, follows a common five-step agentic AI loop: observe, plan, generate, act and learn. This allows agents within Tela to proactively interact with their environment, adapt to new data, and continuously improve outcomes. Whether interpreting well logs, predicting drilling issues, or optimising equipment performance, Tela agents can work in collaboration with humans or autonomously to deliver faster, smarter decisions.

Powered by SLB’s Lumi data and AI platform, Tela uses agentic AI – leveraging large language models (LLMs) and domain foundation models (DFMs) – to understand domain-specific contexts, generate insights and adapt workflows in real time based on observed outcomes. Lumi’s agentic framework allows customers to build and manage their own Tela agents, integrate partner-developed solutions, and tailor capabilities to their operational priorities.

“Technology like Tela marks a paradigm shift in how AI supports the energy industry, from subsurface to operations,” said Rakesh Jaggi, president, Digital and Integration, SLB. “Today, the industry faces a dual challenge: a leaner workforce and increased technical complexity, and Tela can address both. Tela doesn’t just automate tasks – it can understand goals, make decisions and take action. It’s the convergence of 100 years of domain science and cutting-edge digital technology, amplifying human ingenuity and redefining how work gets done.

“The real promise of agentic AI isn’t just faster workflows – it’s the ability to see the whole system, anticipate what’s next, and act with confidence, learning through the process and transforming workflows for better enterprise-level outcomes. For oil and gas, that means leading the way in energy innovation, driving smarter decisions, and actively shaping the future of the industry.”

Digital has been SLB’s fastest-growing business in recent years, with 2025 third-quarter revenues for this division rising 11% over the second quarter and 3% year-on-year.

“By leveraging software, AI, data analytics, automation and IoT, we are unlocking productivity for geoscientists and engineers, driving a step change in efficiency and safety in operations, and supporting our customers to deliver better wells and higher-producing assets,” said Olivier Le Peuch, SLB’s CEO, announcing the third quarter results. “As such, SLB Digital solutions are increasingly mission critical for our customers to stay ahead on innovation, efficiency and AI deployment.

“This high-margin and growing business is a true differentiator and reflects our industry leadership in this domain.”

Coinciding with the launch of Tela, ADNOC and SLB announced the launch of an artificial intelligence (AI)-powered Production System Optimization (AiPSO) platform with initial deployment across eight fields.

See also: https://oilreviewmiddleeast.com/technical-focus/slb-and-aiq-to-deploy-agentic-ai-across-adnocs-subsurface-operations