Deep Imaging releases shale technology for detecting completion problems
Published by Nicholas Woodroof,
The prevailing approach to developing shale is delivering mixed results. Drilling larger wells more closely together has reduced per unit costs, but many new wells are underperforming production expectations by as much as 30%.
The problem is the industry is acting on limited data to make intricate operating decisions. Without the right instruments to see what is happening during a well completion, operators are experiencing frac hits and are unable to identify poor cement jobs, failed plugs and unclosed zippers, all of which leave valuable resources in the ground. With the ability to see a frac job in real-time, operators can now truly optimise full-field development.
At around the cost of a single frac stage, payback on this surface-based technology is quick and the upside is large, especially considering not “closing” a zipper frac can mean up to 30% of the reservoir is untapped. With projected sales of US$500 million from a development project, operators utilising fluid tracking could capture the us$150 million that would otherwise be left behind.
Among other benefits, the technology also enables operators to determine which downhole products and strategies are causing problems to help improve their purchasing plans. If an operator understands they have failures 20% of the time with a certain type of plug, they can find a better provider.
David Moore, CEO and President of Deep Imaging, said: “We are proud to provide to clients answers about what’s happening in their reservoirs—and now we will deliver that information in real time. In addition to making decisions on how to design the next completion more efficiently, customers will now be able to make decisions on how to stop frac hits, see plug failures and bad cement and decide how to mitigate the impact, stage by stage.”
Read the article online at: https://www.oilfieldtechnology.com/hydraulic-fracturing/23072019/deep-imaging-releases-shale-technology-for-detecting-completion-problems/
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