Co-Development of Multiple Targets in Permian Unconventional Reservoirs
- Authors
- Richard Cao (Shell Exploration and Production Co.) | Chaohui Chen (Shell Exploration and Production Co.) | Alejandro Girardi (Shell Exploration and Production Co.) | Ruijian Li (Shell Exploration and Production Co.) | Nitin Chowdhury (Shell Exploration and Production Co.)
- DOI
- https://doi.org/10.2118/195910-MS
- Document ID
- SPE-195910-MS
- Publisher
- Society of Petroleum Engineers
- Source
- SPE Annual Technical Conference and Exhibition, 30 September - 2 October, Calgary, Alberta, Canada
- Publication Date
- 2019
- Document Type
- Conference Paper
- Language
- English
- ISBN
- 978-1-61399-663-8
- Copyright
- 2019. Society of Petroleum Engineers
- Keywords
- Stochastic Modeling, Well Interference, Well Spacing, Unconventional Reservoirs, Co-development
- Downloads
- 23 in the last 30 days
- 327 since 2007
- Show more detail
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SPE Member Price: | USD 9.50 |
SPE Non-Member Price: | USD 28.00 |
Optimum co-development layout of multiple targets for unconventional reservoirs is extremely challenging due to complex 3-dimentional well interactions, stochastic well performance, complex fracture geometry, dynamic SRV/DRV evolution, heterogeneous rock properties, various operating conditions, and different economic drivers. In this study, an integrated workflow is developed and applied for co-development of multiple targets in Permian unconventional reservoirs.
In this workflow, the field pilot and trial measurements, Microseismic, geochemistry measurement, data analytics, detailed geomechanical and reservoir modeling, stochastic multiple history matching and forecast, all combined to quantify the horizontal and vertical interference factors and obtain production profiles for different co-development designs. The stochastic behavior of the well performance is explored from three different aspects: static rock properties, dynamic fracturing, and production. The SRV/DRV evolution are presented as the probability distribution function of half fracture length from Microseismic data and effective drainage half-length from stochastic modeling.
File Size | 1 MB | Number of Pages | 15 |
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