犬儒主义者 发表于 2025-3-23 11:47:28

Berichte aus dem Wissenschaftsbetrieb,the use of machine learning models to improve decision-making. One of the prime applications of data-based decision-making is the identification of optimum well locations for hydrocarbon recovery. This task is made difficult by the relative lack of high-fidelity data regarding the subsurface to deve

Uncultured 发表于 2025-3-23 16:25:22

https://doi.org/10.1007/978-3-476-03077-1natural geological systems (and rule-based models) have a wider range of connectivity behaviour and therefore are ill-served by simple modelling methods in which connectivity is an unconstrained output property rather than a user-defined input property. The compression-based modelling method decoupl

引水渠 发表于 2025-3-23 20:44:40

Zur Geschichte des Begriffs Entfremdung, modeling requires the integration of several sources of information such as well data, formation pressure tests, geophysical logs, mud weight, geological models, seismic data, geothermal and sedimentation rate modeling. An empirical relationship between overpressure and compressional wave velocity

姑姑在炫耀 发表于 2025-3-24 00:01:09

https://doi.org/10.1007/978-3-642-50948-3e of geologically-derived training images to reproduce the desired heterogeneity. A variety of different training image types are often proposed for use in MPS modelling, including object-based, surface-based and process-based models. The purpose of the training image is to provide a description of

撤退 发表于 2025-3-24 03:36:18

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退潮 发表于 2025-3-24 08:11:17

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Kidney-Failure 发表于 2025-3-24 10:51:20

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Gourmet 发表于 2025-3-24 14:57:04

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Nebulizer 发表于 2025-3-24 21:18:24

Neue Formen der Arbeitsorganisation,etworks. However, there is always significant uncertainty associated with the prediction of spatial location and connectivity of fracture networks due to lack of sufficient data to model them. Therefore, stochastic characterization of these fractured reservoirs becomes necessary.

光滑 发表于 2025-3-25 00:52:54

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