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Abstract

Summary

Big Loop™ solution meets these evolving needs and provides oil and gas operators with a platform to manage the challenges and complexities of modern reservoirs. The Big Loop workflow results in a calibrated flow model that is consistent with the underlying geology. The workflow is easy to update and allows experts to spend more time analyzing the results and building a common understanding of the reservoir instead of manual adjustments. Big Loop's automated, ensemble based, stochastic workflow tightly integrates the static and dynamic domains, ensuring that all the relevant reservoir uncertainties are captured and used as input parameters integrated to the reservoir simulator. By adjusting uncertainty ranges these input parameters, multiple realizations of the static and dynamic model, constrained by factors such as production history, are created via an iterative loop. (Big Loop - Trade mark of Emerson)

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/content/papers/10.3997/2214-4609.201902013
2019-06-03
2024-04-20

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References

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http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201902013
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A Multi Domain Machine Learning Approach for Reliable Production Forecast
Conference Proceedings 2019, 1 (2019); https://doi.org/10.3997/2214-4609.201902013
/content/papers/10.3997/2214-4609.201902013
/content/papers/10.3997/2214-4609.201902013
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