Data management
Two examples from ONGC show how supervised AI-driven automation scaled well modeling across hundreds of offshore wells, saving more than 1,000 engineering hours.
Are we in an AI bubble? The question may seem academic to petroleum engineers who are already capitalizing on the momentum of digitalization across the industry, yet any engineer, regardless of their career stage, could be forgiven for feeling overwhelmed by the sheer scope of specialized skills now demanded in this rapidly evolving digital landscape.
The Regulators’ Pioneer Fund has provided the North Sea Transition Authority with funding for two data work streams—a data viewer and an AI chatbot—to facilitate access to the vast amounts of North Sea data.
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While master data management is crucial for maintaining data integrity and supporting business processes, it often goes ignored in mid- to large-size oil and gas companies. Most think that implementing robust enterprise resource planning will solve all master data problems. They find they are sorely mistaken when, after investing millions of dollars in a new accountin… -
The international energy company will use Amazon Web Services to reduce IT infrastructure costs and develop systems for carbon removal plants.
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The high-speed, low-latency communication offered by 5G is enabling real-time data transmission and remote control of operations, thereby reducing the need for human presence in hazardous areas.
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The industry's increasing dependence on digital systems has escalated the importance of robust cybersecurity strategies, presenting an array of unprecedented challenges.
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The Brazilian major said it plans to integrate the software throughout its exploration, development, and production operations.
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The US-based drilling contractor is buying the drilling technology company just three weeks after announcing a merger with NexTier Oilfield Solutions.
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Whether inconsistent, incomplete, ambiguous, or just plain wrong, bad data is a big barrier to digital transformation.
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The Landmark DecisionSpace Geosciences software aims to incorporate geoscientists into the company’s digital work flow.
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This paper describes an approach implemented by the operator to solve research and development challenges by creating in-house infrastructure of both software and hardware.
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The model is an industry standard template for operators to maintain land survey data, mainly acquired for the oil and gas industry.
