標題: Titlebook: Geostatistics Toronto 2021; Quantitative Geology Sebastian Alejandro Avalos Sotomayor,Julian M. Ort Conference proceedings‘‘‘‘‘‘‘‘ 2023 The [打印本頁] 作者: misperceive 時間: 2025-3-21 17:38
書目名稱Geostatistics Toronto 2021影響因子(影響力)
書目名稱Geostatistics Toronto 2021影響因子(影響力)學科排名
書目名稱Geostatistics Toronto 2021網(wǎng)絡公開度
書目名稱Geostatistics Toronto 2021網(wǎng)絡公開度學科排名
書目名稱Geostatistics Toronto 2021被引頻次
書目名稱Geostatistics Toronto 2021被引頻次學科排名
書目名稱Geostatistics Toronto 2021年度引用
書目名稱Geostatistics Toronto 2021年度引用學科排名
書目名稱Geostatistics Toronto 2021讀者反饋
書目名稱Geostatistics Toronto 2021讀者反饋學科排名
作者: HILAR 時間: 2025-3-21 20:44 作者: BIBLE 時間: 2025-3-22 00:57
https://doi.org/10.1007/978-3-031-19845-8Stochastic Modeling; Uncertainty Quantification; Predictive modeling; Random functions; Open Access作者: Anemia 時間: 2025-3-22 08:22 作者: Hypomania 時間: 2025-3-22 09:47
Entertainment Apps on the Go with Windows 10ctor, and water aquifer draw-down predictions. Feature engineering presents the opportunity to integrate heterogeneity information, but traditional heterogeneity engineered features like Dykstra-Parsons and Lorenz coefficients ignore the spatial context; therefore, are not sufficient to quantify the作者: FRAUD 時間: 2025-3-22 16:49
https://doi.org/10.1007/978-3-211-71573-4 drill hole data to independent Gaussian factors. These simulations are then back transformed to obtain simulated results that exhibit the multivariate relationships observed in the input drill hole data. Several transformation techniques are cited in geostatistical literature for multivariate trans作者: FRAUD 時間: 2025-3-22 17:53 作者: 沉積物 時間: 2025-3-22 23:53 作者: 知道 時間: 2025-3-23 05:10 作者: 領導權 時間: 2025-3-23 06:31
https://doi.org/10.1007/978-3-0348-5687-4es being considered for large scale CO. injection for sequestration. A comprehensive modeling method that adequately preserves point bar internal architecture and its associated heterogeneities is still not available. Traditional geostatistical methods cannot adequately capture the curvilinear archi作者: 犬儒主義者 時間: 2025-3-23 11:47
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作者: Uncultured 時間: 2025-3-23 16:25
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作者: 引水渠 時間: 2025-3-23 20:44
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 作者: 姑姑在炫耀 時間: 2025-3-24 00:01
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 作者: 撤退 時間: 2025-3-24 03:36 作者: 退潮 時間: 2025-3-24 08:11 作者: Kidney-Failure 時間: 2025-3-24 10:51 作者: Gourmet 時間: 2025-3-24 14:57 作者: Nebulizer 時間: 2025-3-24 21:18
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.作者: 光滑 時間: 2025-3-25 00:52 作者: Mri485 時間: 2025-3-25 05:10
https://doi.org/10.1007/978-3-211-71573-4 a multivariate simulation case study of a large Nickel deposit. Our findings show that IG is computationally faster than FA and PPMT which makes the technique more appealing for most practical and time-sensitive applications.作者: 靦腆 時間: 2025-3-25 09:54 作者: Medley 時間: 2025-3-25 13:51
Zur Geschichte des Begriffs Entfremdung,dary variable came from the combination of seismic velocity and geothermal models. The methodology uses Sequential Gaussian Cosimulation with Intrinsic Collocated Cokriging. The results demonstrate the usefulness and applicability of the workflow proposed.作者: 運動的我 時間: 2025-3-25 17:37
Iterative Gaussianisation for Multivariate Transformation a multivariate simulation case study of a large Nickel deposit. Our findings show that IG is computationally faster than FA and PPMT which makes the technique more appealing for most practical and time-sensitive applications.作者: 服從 時間: 2025-3-25 21:07
Comparing and Detecting Stationarity and Dataset Shift to account for dataset shift. The benefits of the lazy learning algorithm are demonstrated on the well-known non-stationary Walker Lake dataset and improves root mean squared error up to 25% relative to standard SVR approach, in areas where dataset shift is present.作者: breadth 時間: 2025-3-26 01:42
Spatial Uncertainty in Pore Pressure Models at the Brazilian Continental Margindary variable came from the combination of seismic velocity and geothermal models. The methodology uses Sequential Gaussian Cosimulation with Intrinsic Collocated Cokriging. The results demonstrate the usefulness and applicability of the workflow proposed.作者: phlegm 時間: 2025-3-26 07:30 作者: 尾巴 時間: 2025-3-26 10:33 作者: Archipelago 時間: 2025-3-26 13:24
Rechtliche Grundlagen der Entgeltumwandlung,t and proposes a methodology to address the issue of optimising the drilling grid based on uncertainty derived from Gaussian conditional geostatistical simulations. The usefulness of the proposed workflow is demonstrated in terms of saving time and money when selecting a drill hole grid.作者: 痛打 時間: 2025-3-26 18:52
Entgiftungsmittel — Entgiftungsmethodenhigh accuracy using gamma sequences with and without added noise. Further, no feature extraction or selection is performed in this work. Hence, LSTM can be used to detect different signatures in natural gamma logs even with noise. So, this system can be introduced in mining as an aid for geoscientists.作者: Ethics 時間: 2025-3-26 22:23 作者: 安心地散步 時間: 2025-3-27 04:12
Methodology for Defining the Optimal Drilling Grid in a Laterite Nickel Deposit Based on a Conditiont and proposes a methodology to address the issue of optimising the drilling grid based on uncertainty derived from Gaussian conditional geostatistical simulations. The usefulness of the proposed workflow is demonstrated in terms of saving time and money when selecting a drill hole grid.作者: COWER 時間: 2025-3-27 08:20
LSTM-Based Deep Learning Method for Automated Detection of Geophysical Signatures in Mininghigh accuracy using gamma sequences with and without added noise. Further, no feature extraction or selection is performed in this work. Hence, LSTM can be used to detect different signatures in natural gamma logs even with noise. So, this system can be introduced in mining as an aid for geoscientists.作者: indemnify 時間: 2025-3-27 13:26 作者: Obvious 時間: 2025-3-27 13:55
Spectral Simulation of?Gaussian Vector Random Fields on?the?Sphere parsimonious in terms of computation time and memory storage requirements. This work presents two such algorithms that rely on the spectral representation of isotropic covariances on the sphere. Both algorithms are illustrated with synthetic examples.作者: 舊石器時代 時間: 2025-3-27 19:38 作者: 調整校對 時間: 2025-3-28 01:20 作者: 有權 時間: 2025-3-28 02:40 作者: endure 時間: 2025-3-28 09:33
https://doi.org/10.1007/978-3-8349-8975-8MUC panel-specific grade-tonnage curves while preserving the spatial grade distribution at the selective mining level. However, LMUC results have two severe artifacts. This paper documents both artifacts using four grades from a large nickel–cobalt laterite deposit in Western Australia.作者: 剝削 時間: 2025-3-28 14:19 作者: Entropion 時間: 2025-3-28 18:38 作者: 改變 時間: 2025-3-28 20:36 作者: micturition 時間: 2025-3-28 23:48
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作者: 拾落穗 時間: 2025-3-29 05:17
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.作者: freight 時間: 2025-3-29 07:57 作者: 拍下盜公款 時間: 2025-3-29 14:21 作者: 朋黨派系 時間: 2025-3-29 15:59
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.作者: 使混合 時間: 2025-3-29 22:41
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作者: 有常識 時間: 2025-3-29 23:55 作者: 褪色 時間: 2025-3-30 06:27 作者: 兩棲動物 時間: 2025-3-30 12:16
RETRACTED CHAPTER: Spatio-Temporal Optimization of Groundwater Monitoring Network at Pickering Nucle作者: 肉體 時間: 2025-3-30 12:23
Springer Proceedings in Earth and Environmental Sciences384101.jpg作者: aristocracy 時間: 2025-3-30 16:53 作者: 貪心 時間: 2025-3-30 20:49
Iterative Gaussianisation for Multivariate Transformation drill hole data to independent Gaussian factors. These simulations are then back transformed to obtain simulated results that exhibit the multivariate relationships observed in the input drill hole data. Several transformation techniques are cited in geostatistical literature for multivariate trans作者: 山間窄路 時間: 2025-3-31 01:53
Comparing and Detecting Stationarity and Dataset Shiftl underperform. Machine learning algorithms are impacted by .; when modeling domains of interest present non-stationarities there is no guarantee that the trained models are effective in unsampled areas. This work aims to compare the stationarity requirement of geostatistical methods to the concept
