shallow geothermal systemsuncertainty componentsUnited StatesuraniumThe subsurface is complex, describing it requires high銉緄mensional parameterizations. This chapter considers various decision scenarios over the lifecycle of a large oil field of a Wintershall asset in Libya. It aims to evaluate ...
Uncertainty quantification (UQ) and propagation is becoming of central importance in many engineering areas to better control and enhance the reliability and robustness of mechanical systems, structures and processes [1], [2], [3], [4], [5], [6], [7]. Controlling the structural health of ...
In this work we use a two-step procedure that combines multiple point with two-point statistical methods to generate images of the subsurface that reflect the spatial continuity and uncertainty of the hydraulic properties in multi-modal settings. First, images of the hydrofacies architecture are gen...
Metal additive manufacturing (AM) processes produce heterogeneous microstructures, leading to significant uncertainty in mechanical behavior. Process-induced defects cause additional uncertainty and can degrade performance, particularly for local processes like fatigue. However, time and monetary costs impose con...
To reduce this uncertainty, only those plumes with intensive turbidity anomalies, which possibly indicated local hydrothermal activity, were included in this study since intensive turbidity anomalies were generally close to the (probably within 1 km) confirmed HFs, such as Zouyu-2 (Chen et al., ...
In addition, the framework could be sensitive to factors such as phylogenetic uncertainty and alpha diversity underestimation. These particular factors are partially controlled by confirming phylogenetic signal upfront and using null models that hold observed alpha diversity constant, respectively. Simulation...
dependence on data to make sense of the inaccessible subsurface reservoir; (2) the irreducible uncertainty associated with the lack of access to the physical referents; (3) the importance of the continuous work to maintain and (re)interpret the data. Our data analysis is based on a working ...
The complex model used in the following analyses attempts to include many aspects of real-world systems that are commonly omitted from groundwater modeling uncertainty analysis, yet are likely to affect model outcomes under both calibration and predictive conditions. While other model imperfections ...
of polar climate and to identify the relative contribution of various processes to observed high-latitude changes. In addition, it is a powerful tool to identify the origin of model biases and to reduce the uncertainty in the response to anthropogenic forcing which is directly linked to feedbacks...
and land use land cover patterns have uncertainty in the representation of flood events because of their spatial resolutions. The parameters of the model could also have uncertainty in computing the hydrological processes. The other limitation is that during the substantial rainfall period, the inundati...