An advanced prediction model of shale oil production profile based on source-reservoir assemblages and artificial neural networks

Author:

Liu Yazhou,Zeng Jianhui,Qiao Juncheng,Yang Guangqing,Liu Shu'ning,Cao Weifu

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Mechanical Engineering,General Energy,Building and Construction

Reference134 articles.

1. Unconventional oil and gas resources: exploitation and development;Ahmed,2016

2. Shale resource systems for oil and gas: Part 1–Shale gas resource systems; Part 2–Shale oil resource systems. Shale reservoirs–Giant resources for the 21st century;Jarvie;AAPG Mem,2011

3. Unconventional shale-gas systems: The Mississippian Barnett Shale of north-central Texas as one model for thermogenic shale-gas assessment;Jarvie;AAPG Bull,2007

4. EIA, 2022. Annual Energy Outlook 2022. https://www.eia.gov/.

5. EIA, 2016. Annual Energy Outlook 2016. https://www.eia.gov/.

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