Optimizing Horizontal Well Placement Through Stratigraphic Performance Prediction Using Artificial Intelligence
- Andrei Popa (Chevron Corporation) | Sean Connel (Chevron Corporation)
- Document ID
- Society of Petroleum Engineers
- SPE Annual Technical Conference and Exhibition, 30 September - 2 October, Calgary, Alberta, Canada
- Publication Date
- Document Type
- Conference Paper
- 2019. Society of Petroleum Engineers
- Lorenz coefficient, Fuzzy Logic, Dynamic Reservoir Quality Index, Artificial Intelligence, Horizontal Wells Placement
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- 273 since 2007
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Accurate predictions of connectivity and heterogeneity pose important technical challenges for successful maturation of conventional and unconventional reservoirs. We present the success of a new reservoir management workflow that uses both artificial intelligence and classic models to define the impact of stratigraphic connectivity and heterogeneity on horizontal-well production performance in a mature heavy oil field. The data-driven model based on fuzzy logic was used to compute a new attribute named dynamic Reservoir Quality Index (dRQI). The classical models used the stratigraphic Lorenz Plots, Reservoir Quality Index (RQI) and Flow-Zone indicator (FZI). Workflows were validated through a lookback process on more than 400 wells used to predict the fine-scale stratigraphic and directional heterogeneities within intervals targeted by horizontal wells, and production performance. The workflow was successfully used to optimize the horizontal well placement for 2019-2020 drilling programs.
|File Size||2 MB||Number of Pages||17|
Ginger, E.P., Almon, W.R., Longacre, S.A., and Huggins, C.A., 1995, The impact of geological reservoir characterization on the flow unit modeling at the Kern River Field, California, USA, in Stoudt, E.L., and Harris, P.M., eds., Hydrocarbon reservoir characterization – geologic framework and flow unit modeling: Society for Sedimentary Geology (SEPM), Short Course, no. 34, p. 317–357.
Hosford Scheirer, A., and Magoon, L.B., 2007, Age, distribution, and stratigraphic relationship of rock units in the San Joaquin Basin Province, California, in Hosford Scheirer, ed., Petroleum Systems and Geologist Assessment of Oil and Gas in the San Joaquin Basin Province, California: U.S. Geological Survey Professional Paper 1713, 107 p.
Kumar, M., 1992, Interwell heterogeneity representation and its effect on steamflood performance: Society of Petroleum Engineers Journal SPE-24932, p. 797–811; doi.org/10.2118/24932-MS.