Casing Mechanic Sustainability 
McKinsey
JUNE 16, 2025
Historical hits and misses Over the past 15 years, the sustainability landscape has evolved, with advances in knowledge and climate technology and changes in costs, policy, and regulation. Over the past few years, NBS have been increasingly incorporated into policy frameworks and financial mechanisms.
McKinsey
JULY 10, 2025
As the world shifts toward a more sustainable future, addressing carbon emissions remains a top priority. Our analysis suggests that the cost of adopting CCUS would be similar to the price of emissions allowances under the EU ETS by 2030, creating a plausible business case for this technology. 3 Assuming a 4.3 percent in 2030 to 35.0
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SmartBrief
JULY 31, 2025
But just in case, we have a few listeners who aren’t familiar with your company. We talk about green sustainability. Not quite the case in Manhattan. So in the winter, it’s 55 in the summer, it’s 55 and you talk about the mechanical lift. We’re not mechanical engineers.
Permian Basin Oil and Gas Magazine
JULY 21, 2025
And in some cases, they’re turning trash into treasure, as with extracting minerals from produced water. For more than 20 years SWD has been the produced water coping mechanism because it was the winner in the economics battle. The problem is that most of them, at least right now, are too costly or can’t be scaled up, or both.
Novi
JULY 23, 2025
As major North American unconventional plays approach maturity, the industry faces a critical challenge in sustaining production levels and reserve replacement. A Case Study from the Powder River Basin” presented at URTeC 2025. Download the full paper here.
McKinsey
JULY 29, 2025
Gen AI, currently the fastest-growing advanced-AI use case, will account for around 40 percent of the total demand (Exhibit 2). Mechanical (cooling) system design. Sustainability ambitions driven by renewable-energy providers. To keep up with the rapid rise of AI, data centers have become bigger and more powerful.
McKinsey
JUNE 13, 2025
To scale impact in the agentic era, organizations must reset their AI transformation approaches from scattered initiatives to strategic programs; from use cases to business processes; from siloed AI teams to cross-functional transformation squads; and from experimentation to industrialized, scalable delivery.
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