Abstract. Unlike some other well-known challenges such as facial recognition, where machine learning and inversion algorithms are widely developed, the geosciences suffer from a lack of large, labelled data sets that can be used to validate or train robust schemes. Publicly available 3D geological models far too restricted in both number range scenarios serve these purposes. With reference inverting geophysical this problem is further exacerbated most cases real observations result unknown...

Abstract. At a regional scale, the best predictor for 3D geology of near-subsurface is often information contained in geological map. One challenge we face difficulty reproducibly preparing input data models. We present two libraries (map2loop and map2model) that automatically combine available digital maps with conceptual information, including assumptions regarding subsurface extent faults plutons to provide sufficient constraints build prototype model. The stored map falls into three...

Abstract. To support the needs of practitioners regarding 3D geological modelling and uncertainty quantification in field, particular from mining industry, we propose a Python package called loopUI-0.1 that provides set local global indicators to measure features dissimilarities among an ensemble voxet models. Results are presented survey launched mineral enquiring about their practice needs. It reveals acknowledge importance even if they do not perform it. A total four main factors...

A better knowledge of sediment transport is needed to understand the distribution sediments beneath ice, and signals cryosphere change that may be detected in glacial deposited offshore. We present here an updated graph-analysis approach enable further exploration sedimentary consequences hydrological allows for a quantitative estimate water fluxes subglacial environment, associated basal till evolution properties, impacting on glacier sliding hydrogeology processes. The analysis based...

Despite being one of the biggest sources uncertainty in groundwater models, geological structural is rarely addressed, primarily due to a lack workflows that can generate multiple realisations and integrate these directly with its flow model counterpart. We present streamlined workflow which combines LoopStructural for building complex models MODFLOW 6 modelling. Key features include use unstructured gridding, efficiently adapts each interpretation, full-connectivity formulation, parameters....

Abstract A new method is proposed to produce three‐dimensional facies models of braided‐river aquifers based on analog data. The algorithm consists two steps. first step involves building the main geological units. production principal inner structures aquifer achieved by stacking Multiple‐Point‐Statistics simulations successive topographies, thus mimicking major flooding events responsible for erosion and deposition sediments. second generating fine scale heterogeneity within These...

Abstract. Contaminant source localization problems require efficient and robust methods that can account for geological heterogeneities accommodate relatively small data sets of noisy observations. As realism commands hi-fidelity simulations, computation costs call global optimization algorithms under parsimonious evaluation budgets. Bayesian approaches are well adapted to such settings as they allow the exploration parameter spaces in a principled way so iteratively locate point(s) optimum...

Abstract. Parametric geological models such as implicit or kinematic provide low-dimensional, interpretable representations of 3-D structures. Combining these with geophysical data in a probabilistic joint inversion framework provides an opportunity to directly quantify uncertainty interpretations. For best results, care must be taken the intermediate step rendering parametric geology finite-resolution discrete basis for calculation. Calculating geophysics from naively voxelized geology,...

The past two decades have seen a rapid adoption of artificial intelligence methods applied to mineral exploration. More recently, the easier acquisition some types data has inspired broad literature that examined many machine learning and modelling techniques combine exploration criteria, or 'features', generate predictions for prospectivity. Central design prospectivity models is 'mineral system', conceptual model describing key geological elements control timing location economic...

Abstract Hydrogeological field studies rely often on a single conceptual representation of the subsurface. This is problematic since impact poorly chosen model predictions might be significantly larger than one caused by parameter uncertainty. Furthermore, models need to incorporate geological concepts and patterns in order provide meaningful uncertainty quantification predictions. Consequently, several geologically realistic should ideally considered evaluated terms their relative merits....

Abstract Inversion methods that build on multiple‐point statistics tools offer the possibility to obtain model realizations are not only in agreement with field data, but also conceptual geological models represented by training images. A recent inversion approach based patch‐based geostatistical resimulation using graph cuts outperforms state‐of‐the‐art when applied synthetic examples featuring continuous and discontinuous property fields. Applications of data challenging due inevitable...

Abstract. A huge amount of legacy drilling data is available in geological survey but cannot be used directly as they are compiled and recorded an unstructured textual form using different formats depending on the database structure, company, logging geologist, investigation method, investigated materials and/or campaign. They subjective plagued by uncertainty likely to have been conducted tens hundreds geologists, all whom would their own personal biases. dh2loop...

Abstract. A quantitative understanding of how sediment discharge from subglacial fluvial systems varies in response to glaciohydrological conditions is essential for marine around Greenland and Antarctica interpreting sedimentary records cryosphere evolution. Here we develop a graph-based approach, Graphical Subglacial Sediment Transport (GraphSSeT), model transport using hydrology outputs as forcing. GraphSSeT includes glacial erosion bedrock dynamic with exchange between the active system...

Abstract. We present two Python libraries (map2loop and map2model) which combine the observations available in digital geological maps with conceptual information, including assumptions regarding subsurface extent of faults plutons to provide sufficient constraints build a reasonable 3D model. At regional scale, best predictor for geology near-subsurface is often information contained map. This remains true even after recognising that map also model, all potential hidden biases this model...