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AI You Can Audit: Repeatable, Secure Reservoir Forecasting

Hi! What do you usually think about when you hear about AI in the oil and gas industry?

You probably imagine some kind of LLM or a special AI agent that can keep the necessary context about the industry in its memory, and while these approaches and tools are necessary, we don't trust them with making decisions and can't be 100% sure about the repeatability of the results, especially when it comes to calculations.

At QuickField.ai, we offer a combined approach to calculations, where the user performs all the actions and settings, and AI is used in its classic form to organize data, build prediction models, and apply them to the input data. This way, the user always receives a consistent result, without the usual hallucinations associated with LLMs.

At the same time, our product guarantees:

  1. The security of your data. Each user receives their own models based on our data, which is available out of the box, and the user's specific data. We do not use any private data to train models that are used outside of your company's profile.
  2. The repeatability of the results. Since the model building pipelines are fully defined, you will always receive the same result for the same set of input data.
  3. The relevance of the results to the companies' accumulated experience. Since each company uses its own technologies, conducts production and exploration in specific regions, the same petrophysics can lead to slightly different development indicators. By uploading your company's data, your models are trained with their consideration and adjust the estimates based on our data in the desired direction.

We invite managers, analysts, and experts who use oil production data and well drilling schedules in their work to show how these estimates can be obtained in minutes instead of the usual days or weeks, and how QuickField.ai can be seamlessly integrated into your workflow.

Please send us a message to arrange a demo!

#assetestimation#ai#oilandgas#oil#greenfield#forecasting

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