Application of polynomial chaos theory as an accurate and computationally efficient proxy model for heterogeneous steam‐assisted gravity drainage reservoirs

Research article (Energy Science & Engineering, 2017) · cited 11× · AI/ML
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Application of polynomial chaos theory as an accurate and computationally efficient proxy model for heterogeneous steam‐assisted gravity drainage reservoirs

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Application of polynomial chaos theory as an accurate and computationally efficient proxy model for heterogeneous steam‐assisted gravity drainage reservoirs is a scholarly article[1].

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  • Application of polynomial chaos theory as an accurate and computationally efficient proxy model for heterogeneous steam‐assisted gravity drainage reservoirs's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Application of polynomial chaos theory as an accurate and computationally efficient proxy model for heterogeneous steam‐assisted gravity drainage reservoirs. Retrieved May 24, 2026, from https://4ort.xyz/entity/application-of-polynomial-chaos-theory-as-an-accurate-and-computationally-efficient-proxy-model-for-heterogeneous-steama
MLA “Application of polynomial chaos theory as an accurate and computationally efficient proxy model for heterogeneous steam‐assisted gravity drainage reservoirs.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/application-of-polynomial-chaos-theory-as-an-accurate-and-computationally-efficient-proxy-model-for-heterogeneous-steama.
BibTeX @misc{4ortxyz_application-of-polynomial-chaos-theory-as-an-accurate-and-computationally-efficient-proxy-model-for-heterogeneous-steama_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Application of polynomial chaos theory as an accurate and computationally efficient proxy model for heterogeneous steam‐assisted gravity drainage reservoirs}}, year = {2026}, url = {https://4ort.xyz/entity/application-of-polynomial-chaos-theory-as-an-accurate-and-computationally-efficient-proxy-model-for-heterogeneous-steama}, note = {Accessed: 2026-05-24}}
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