In The Spotlight
Baker Hughes will leverage its portfolio of digital and AI automation solutions. (Image source: Adobe Stock)
Kuwait Oil Company technology collaboration with Baker Hughes
Kuwait Oil Company (KOC) has signed a further technology collaboration contract related to its Ahmadi Innovation Valley initiative as it seeks to enhance upstream performance through the introduction of the most advanced technologies
Kuwait’s national oil company has signed a multi-year contract with Baker Hughes to accelerate technology innovation in the country’s upstream energy sector. It makes Baker Hughes a key technology collaborator in the Ahmadi Innovation Valley (AIV), KOC’s flagship initiative aimed at establishing an in-country research and innovation hub to address its strategic oil and gas development priorities, bringing together industry academic and technology providers to address upstream technical challenges.
Scalable technology solutions
Through the collaboration, Baker Hughes and KOC will focus on developing and deploying scalable, fit-for-purpose technology solutions that optimise production and flow assurance, while addressing other priorities across KOC’s technology roadmap. Baker Hughes will leverage its portfolio of digital and AI automation solutions that help operators increase recovery from existing wells, lower operating costs, reduce water production and minimise power consumption.
“Baker Hughes is committed to deeply understanding KOC’s development aspirations and providing the solutions needed to help achieve them,” said Baker Hughes Chairman and chief executive officer Lorenzo Simonelli. “Working together, we aim to deliver tailored technology solutions at scale that improve production performance and efficiency, supporting KOC’s goals to maximise value from their assets.”
As part of the agreement, Baker Hughes will build a dedicated research and technology development centre in the Ahmadi Innovation Valley to support the evaluation of new solutions, deliver technology solutions at scale and build local expertise.
It comes after KOC’s signing of a seven-year contract with SLB in June, which will see SLB establish a dedicated AIV facility and support applied research, technology deployment and digital innovation programmes focusing on AI, IIoT applications, production optimisation, reservoir technologies, water management and energy transition initiatives. That was followed by a contract with Halliburton in July which will see Halliburton deploy key technologies to execute a tailored programme of projects and engineered solutions with a focus on digital capabilities through the application of data, scientific analysis, and artificial intelligence for the full field lifecycle.
Shift to collaborative arrangements
These arrangements mark a shift from traditional field services to collaboration and co-creation of technology and innovation. They reflect KOC’s focus on innovation and scaling digital solutions, as it seeks to lift crude oil production capacity to 4mn bpd by 2035, positioning the centre as a platform for applied research and upstream technology development.
The platform brings live rig data from across drilling operations into a unified, real-time environment. (Image source: SLB)
ADNOC and SLB deploy AI platform across ADNOC rig fleet
In a major move illustrating how it is accelerating the deployment of AI at scale throughout its operations, ADNOC has deployed its AI-enabled Real-Time Operations Center (RTOC) across its fleet of more than 120 onshore and offshore drilling rigs, enabled by SLB’s DrillOps intelligent well delivery and insights solutions
The platform brings live rig data from across drilling operations into a unified, real-time environment that gives ADNOC teams greater visibility of activity across the fleet, helping them improve coordination, identify risks and issues earlier and make faster, more informed decisions, thereby managing operations more effectively. The RTOC combines operational data, automated dashboards, advanced analytics and AI-driven insights to turn large volumes of drilling data into clear, actionable information.
Benefits of the deployment
According to ADNOC, the deployment
• Reduces engineering effort by 30% to 40%
• Enables engineers to support two to three times more rigs while maintaining effective oversight
• Enables analyses that previously required a full day can to be completed within minutes,
• Allows reporting cycles that once took several days to be completed within hours
• Reduces incident response times by four to 12 hours
• Helps avoid one to two days of rig downtime.
Through this initiative, ADNOC continues to embed AI into core workflows and accelerate the transition toward more autonomous and optimised operations. It follows the deployment of the first AI-enabled fully automated walking island rig of a six-rig programme for ADNOC Offshore, enabling faster and more consistent offshore well delivery as ADNOC seeks to up production capacity to 5mn bpd by 2027.
Developed in the UAE and hosted within ADNOC's cloud environment, RTOC keeps critical operational data and workflows securely within the country while providing a trusted foundation for AI-driven operations.
Musabbeh Al Kaabi, ADNOC Upstream CEO, said, "The Real-Time Operations Center creates value across ADNOC’s drilling operations every minute by embedding AI into the heart of our drilling operations, helping our teams make faster, smarter decisions at scale. Built securely here in the UAE, it is further proof that ADNOC is moving from AI ambition to real-world impact as we become the world’s most AI-enabled energy company."
“DrillOps transforms real-time drilling data into operational intelligence that helps teams make faster, more informed decisions,” said Rakesh Jaggi, president, Digital, SLB.
“Deployed within ADNOC’s sovereign cloud environment, the technology provides the scalable digital foundation for AI-enabled workflows across one of the industry’s largest rig fleets and supports the continued progression toward more autonomous operations.”
DUG Insight speaks fluent geoscience
Margarita Kongawoin, senior vice president of software & HPC at DUG Technology, explains how DUG Insight brings the complete geoscience workflow into a single, integrated package – and why that's changing the way teams work
What do you see as the biggest bottleneck in geoscience software today?
Fragmentation seems to be a major issue slowing geoscience teams down. They often have to work with many different software programmes. Moving data between those applications requires data exchange and format conversion, which takes time and can lead to mistakes. When the data reaches the decision-maker’s desk, time (aka money) and attention have been wasted. This fragmented workflow also prevents people from working together and sharing their different skills in a complementary way.
How does DUG Insight overcome those challenges?
DUG Insight provides a single workspace where geoscientists can work together. For interpreters, this means interactive 2D/3D/gather visualisation with tools for fault and horizon picking, well management and manipulation, crossplotting and AI-assisted interpretation. They can also generate attributes including dip and azimuth, semblance, curvature, spectral decomposition and RGB blending, all on demand.
For processing geophysicists, it offers a full suite of time-processing and depth-imaging tools scalable to massive data volumes from any acquisition geometry – land, marine or ocean-bottom node – with dedicated capabilities for time-lapse (4D) and multicomponent data. Users are not required to run heavy batch processes to test a parameter. On DUG Insight, it takes just seconds to test and QC workflows.
QI specialists get the fastest path to rock properties and probabilistic lithology and fluid prediction, with tools from statistical rock physics, to traditional AVA inversion, to our revolutionary elastic MP-FWI imaging technology.
DUG Insight is the only geoscience software package on the market that spans the complete workflow from seismic data processing and depth imaging through to interpretation, visualisation and rock-property prediction – all in a single, integrated package.

AI is all the buzz now. How does it enhance DUG Insight? What about users who want to bring their own code?
AI tools are now being increasingly integrated into DUG Insight’s workflows for maximum efficiency, whether it’s lithology prediction, fault and horizon interpretation, or accelerated convergence of our MP-FWI.
We also don’t want to lock anyone into a closed box. The software’s API gives users the flexibility to bring their own code into the environment, supporting Java, C/C++, C# and Python. Ultimately, we want to ensure that your custom code is treated with the dignity it deserves. No additional licensing is required, and all intellectual property stays with you.

What’s next for DUG Insight?
We’ve got lots of exciting developments coming soon! Our R&D team continues to embed the latest technology, spanning signal processing to interpretation to algorithmic efficiency. For example, we’re now modelling complex acquisition effects like tides, water-column changes, currents and array geometry, which is vital for full-wavefield imaging and for superior time-lapse (4D) results. On land, we’re inverting ground roll to give high-resolution shear-wave velocity, while the new land statics methodology (AMGRT) solves near-surface complexity to correctly position deep targets. Watch this space!