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Titlebook: Geostatistics Toronto 2021; Quantitative Geology Sebastian Alejandro Avalos Sotomayor,Julian M. Ort Conference proceedings‘‘‘‘‘‘‘‘ 2023 The

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樓主: misperceive
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發(fā)表于 2025-3-28 18:38:51 | 只看該作者
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發(fā)表于 2025-3-28 20:36:18 | 只看該作者
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發(fā)表于 2025-3-28 23:48:55 | 只看該作者
Berichte aus dem Wissenschaftsbetrieb, improvements in drilling technologies have dramatically lowered the costs of producing hydrocarbon from prospects and resulted in very efficient drilling operations, these advancements have led to sub-optimal and haphazard placement of wells. This can lead to considerable number of unprofitable wel
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發(fā)表于 2025-3-29 05:17:57 | 只看該作者
https://doi.org/10.1007/978-3-476-03077-1 the correct facies proportions while maintaining the connectivity of the original model. The method is described and illustrated using examples representative of a poorly connected deep-water depositional system and a well-connected fluid-driven vein system.
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Geometric and Geostatistical Modeling of Point Bars modeling method that preserves the point bar internal architecture and heterogeneities, without these limitations. The modeling method incorporates a gridding scheme that adequately captures the point bar architecture and heterogeneities, without huge computational costs.
48#
發(fā)表于 2025-3-29 22:41:50 | 只看該作者
Application of Reinforcement Learning for Well Location Optimization improvements in drilling technologies have dramatically lowered the costs of producing hydrocarbon from prospects and resulted in very efficient drilling operations, these advancements have led to sub-optimal and haphazard placement of wells. This can lead to considerable number of unprofitable wel
49#
發(fā)表于 2025-3-29 23:55:51 | 只看該作者
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