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The solution will be deployed in more than 300 wells across ADNOC assets this year. (Image source: ADNOC)

ADNOC has announced the first offshore deployment of RoboWell, AIQ’s artificial intelligence (AI) autonomous well-control solution, at its offshore fully digital NASR field, as it seeks to become the world’s most AI-enabled energy company

RoboWell uses cloud-based AI algorithms to autonomously operate wells that self-adjust according to changing conditions. This enhances the safe operation of the well, improves efficiency, reduces the need for travel and physical interventions, and so minimises emissions. It was first deployed in 2023 at the onshore NEB field, ADNOC’s first "smart field", which has pioneered the implementation of industry-leading AI-enabled advanced technologies.

Further deployment scheduled

RoboWell has been deployed across an initial 10 wells at NASR, located 130 km northwest of Abu Dhabi, and ADNOC is looking to roll it out at more than 300 wells across its offshore and onshore operations this year.

Abdulmunim Saif Al Kindy, ADNOC Upstream Executive Director, said, “The offshore deployment of RoboWell at NASR field demonstrates how ADNOC is harnessing the power of AI as we responsibly meet growing global energy demand. ADNOC’s aim is to become the world’s most AI-enabled energy company, integrating AI from the control room to the board room to maximize efficiency and move towards autonomous operations. Through our partnership with AIQ we are leveraging the UAE’s world-leading expertise in energy and AI to help transform the future of energy.”

Dr. Chris Cooper, AIQ CEO said, “RoboWell has already been proven to deliver up to 30% optimisation in gas lift consumption and up to 5% increase in operating efficiency, so the expanded implementation of the solution represents a pivotal step for AIQ and ADNOC. By harnessing this leading-edge technology, we are enabling ADNOC to drive greater value from its resources and further optimise its operations.’’

Fishbones' stimulation technology has shown positive results. (Image source: Fishbones)

Stavanger-headquartered Fishbones has signed contracts for its reservoir stimulation technologies with two major national Middle East operators, together valued at more than US$15mn

They follow a series of successful Fishbones stimulation projects across the Middle East in recent years which have shown positive results, in some cases increasing production many times over.

Fishbones’ unique approach to reservoir stimulation connects the well and the reservoir through an open hole liner completion, with drilling and jetting technologies that create numerous lateral connections and increase well productivity and efficiency.

Under the new contracts, both Fishbones Jetting and Fishbones Drilling technology will be utilised in offshore and onshore wells in key locations in the region.

Wissam Chehabi, Fishbones’ managing director for the Middle East, said, “We are very satisfied with finalising these agreements with major operators in the region, giving us many opportunities to put our groundbreaking technology to use. We look forward to being part of our clients’ field development projects and to improve the productivity and efficiency of their wells.”

“Fishbones has extensive experience in targeting low permeability or naturally fractured reservoirs often found in the Middle East. We are excited to take on new challenges and deliver the pinpointed stimulation that only Fishbones technology can provide.”

Fishbones is looking forward to further Middle East expansion following the establishment of a Middle East sales and support office in Abu Dhabi 20 months ago, with plans including the establishment of local manufacturing facilities to serve Middle East installations.

In the oil & gas industry, the sheer volume and complexity of data present unique challenges. (Image source: Adobe Stock)

In an exclusive article for Oil Review Middle East, Karl Crowther VP, MEA at Alteryx, discusses how oil and gas companies can manage and analyse vast amounts of data to ensure compliance with environmental and safety regulations

“Nearly every company, large and small, has become its own super-productive data factory,” Crowther says. “In the oil and gas industry, the sheer volume and complexity of data present unique challenges for ensuring compliance with environmental and safety regulations. But as data complexity rises, the only way to shorten the path to insights and harness its value is to automate the process of data discovery, preparation and blending of disparate data. However, while oil company officials agree on the importance of data and digital technologies for the energy transition, an IBM survey found that less than half of oil and gas executives use data to drive innovation.

Numerous challenges

“Numerous challenges such as fluctuating oil prices, geopolitical instability, strict environmental regulations, and the demand for sustainable practices plague the industry. Luckily, with the rise of automation in data analytics lies a solution. Automation in data analytics can enable firms to empower domain experts to discover insights from data, rather than turn to IT or hire experts, to establish a single source of truth for compliance purposes, enhance efficiency, mitigate risk and deliver more predictable outcomes.”

Crowther goes on to discuss how automated analytics can enable deeper insights; facilitate predictive maintenance; enhance accuracy and safety by continually updating models; enable performance forecasting; and detect problems before they escalate. He also highlights the importance of upskilling and automation.

“Automated, self-service analytics allows business users to focus on value-added activities and accelerates the delivery of high-value insights,” Crowther concludes. “While C-suite executives aim to create value from data, many lack a clear definition of value and struggle to link data investments to specific outcomes. Value can be defined through measurable enterprise value and upskilling. A crucial but often overlooked step is ensuring accountability for high-impact decisions enabled by reducing time and process waste. This shouldn't stop at measuring time savings; it should also involve recognising talent and highlighting innovative decisions an empowered workforce can make through automation. By doing so, executives can showcase their potential and drive continuous improvement in their organisations.”

The full article can be read here

Wassim Ghadban, vice president, Global Innovation & Digital Engineering, Engineering & Consulting at Kent.

In an exclusive piece for Oil Review Middle East, Wassim Ghadban, vice president, Global Innovation & Digital Engineering, Engineering & Consulting at Kent plc, outlines how AI solutions are revolutionising the entire value chain in oil and gas


“Digital technology alone is no longer seen as disruptive unless it incorporates AI,” Ghadban comments. “Automation is evolving beyond mere efficiency to true autonomy. AI is emerging as the secret weapon to accelerate emission reduction and enhance safety in the oil and gas industry. From generating insightful analyses to autonomously operating plants and providing intelligent recommendations, AI is set to redefine the future of this sector.

Generative AI sets itself apart from other forms of machine learning and artificial intelligence in its generative nature. Rather than merely analysing data, generative AI produces new data across all forms of media – text, code, images, audio, video, and more. This ability to generate new content opens up a world of possibilities in the oil and gas industry. One of the most remarkable capabilities of AI in oil and gas is its potential to autonomously generate comprehensive analyses and operational recommendations. Imagine AI systems creating detailed operational reports, predictive maintenance schedules, and even safety protocols, all based on real-time data and historical trends. Imagine a scenario where an AI system continuously monitors plant operations, identifies inefficiencies, and provides real-time optimisation suggestions. This level of intelligence not only boosts productivity but also ensures higher safety standards and significant reductions in downtime and emissions. The potential for innovation is immense.”

Ghadban goes on to discuss the changes in practices and ways of working required to embrace AI, and the importance of collaboration.

“Let us embrace and thrive in this revolution, augmenting our capabilities with AI rather than replacing them. By maintaining our core values and leveraging AI, we can shape a sustainable and innovative future for the oil and gas industry,” he concludes.

You can read the full article here

The new solution utilises MQTT (Message Queuing Telemetry Transport) protocol for the safe and efficient transfer and visualisation of wellsite data during hydraulic fracturing operations. (Image source: Adobe Stock)

Intelligent Wellhead Systems, a leading provider of automation and digitalisation solutions to the oil and gas industry, along with ProFrac, a provider of hydraulic fracturing services, have launched a new solution that enhances well connectivity and improves data transmission for hydraulic fracturing operations

The solution, which utilises MQTT (Message Queuing Telemetry Transport) protocol for the safe and efficient transfer and visualisation of wellsite data during hydraulic fracturing operations, has been successfully deployed in the Haynesville shale and West Texas.

Advantages of new protocol

With the new protocol, the process of manually entering, changing or quality checking data is eliminated, significantly decreasing time and costs. Enhanced data quality and more reliable reports, analysis and planning are some of the advantages.

“Currently, wellsite data is transmitted during fracturing operations by a standard communications cable using CSV (Comma Separated Value) protocol. While this method is robust, it is quite limited in what it can do, particularly with changes in the data being transmitted. A better solution is MQTT, a modern communication protocol that allows more data information than standard CSV protocol. Metadata, including the channel name for each data curve, can now be sent. Instead of mapping just the serial order of data, the data channel name can now be mapped as well,” commented Bob Duncan, IWS vice president of product strategy.

Chris Hall, director IT Application Development for ProFrac Services added, “The MQTT protocol will make our data more accessible and more accurate. The result will be a better job for the customer.”

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