Determining the main drivers in hydrocarbon production from shale using advanced data-driven analytics - A case study in Marcellus shale
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- 作者：Shahab D. Mohaghegh Shahab.Mohaghegh@mail.wvu.edu" class="auth_mail" title="E-mail the corresponding author
- 关键词：Shale production optimization ; Shale analytics ; Data driven analytics ; Data mining ; Shale gas ; Marcellus shale ; Artificial intelligence
- 刊名：Journal of Unconventional Oil and Gas Resources
- 出版年：2016
- 出版时间：September 2016
- 年：2016
- 卷：15
- 期：Complete
- 页码：146-157
- 全文大小：3666 K
文摘
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AI & data analytics provide important insight into completion practices in shale wells.
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Formation quality can be used as a guide on how to complete shale wells effectively.
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“One-Size-fit-All” design philosophy limits production from the High Quality Shale.
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Completion design is more important HQS than it is in Low Quality Shale.