Academic literature on the topic '3D geological model'

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Journal articles on the topic "3D geological model"

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Brandel, Sylvain, Sébastien Schneider, Michel Perrin, Nicolas Guiard, Jean-Français Rainaud, Pascal Lienhard, and Yves Bertrand. "Automatic Building of Structured Geological Models." Journal of Computing and Information Science in Engineering 5, no. 2 (February 4, 2005): 138–48. http://dx.doi.org/10.1115/1.1884145.

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The present article proposes a method to significantly improve the construction and updating of 3D geological models used for oil and gas exploration. We present a prototype of a “geological pilot” which enables monitoring the automatic building of a 3D model topologically and geologically consistent, on which geological links between objects can easily be visualized. This model can automatically be revised in case of changes in the geometric data or in the interpretation.
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Li, Sheng Miao, Ke Yan Xiao, Xiao Ya Luo, Chun Hua Wen, and Xi Gan. "Research on the Application of 3D Modeling and Visualization Method in Construction Mine Model." Advanced Materials Research 926-930 (May 2014): 3208–11. http://dx.doi.org/10.4028/www.scientific.net/amr.926-930.3208.

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The spatial data of mine is analyzed and processed in this study. This research mainly include: calculate 3d coordinate of points of drill hole axis, calculate 3d coordinates of drill hole axis and stratum surface, insert virtual drill hole and calculate it's ostiole 3d coordinate, divide and number stratum of study area. Finally, this research design drill hole database and realize storage and management of mine geological data. This study also researched the classification and characteristics of 3d spatial data model. Based on distribution characteristics of mine data and application purpose of 3d model, this paper choose quasi tri-prism as basic volume to build 3d geological model. The improvement of data structure and modeling algorithm of quasi tri-prism make it can better adapt to the complex geological body modeling. This research study the expansion rule of triangle, modeling algorithm of quasi tri-prism and finally design geologic body database and realize storage and management of geological modeling data.
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Mashin, D. O. "3D geological model of the Crimean training geological ground." Vestnik of Institute of Geology of Komi Science Center of Ural Branch RAS 7 (2016): 43–45. http://dx.doi.org/10.19110/2221-1381-2016-7-43-45.

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Royse, Katherine R., Holger Kessler, Nicholas S. Robins, Andrew G. Hughes, and Stephen J. Mathers. "The use of 3D geological models in the development of the conceptual groundwater model." Zeitschrift der Deutschen Gesellschaft für Geowissenschaften 161, no. 2 (June 1, 2010): 237–49. http://dx.doi.org/10.1127/1860-1804/2010/0161-0237.

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Hou, Guo Wei, Xue Li, Jin Laing Zhang, and Long Long Liu. "Integrated Physical Property Modeling with 3D Visual Technique – A Case Study in Lishui Depression, East China Sea Basin." Applied Mechanics and Materials 421 (September 2013): 834–37. http://dx.doi.org/10.4028/www.scientific.net/amm.421.834.

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3D geological modeling and visualization are the key technique issues to implement the plan of Digital Earth". However, 3D physical property model varies depending on the technology of 3D geological modeling which will bring about great changes in the reflection of reservoir property. In this paper, Some super voxel models, mathematical models of fault and geometrical models of fold have been contrived so as to show the space geometric configuration of the complicated geologic structures. And the architecture for integrated physical property modeling is established; Based on the physical property model, the spatial distribution and plane spread of reservor property is displayed detailedly with Sequential Gaussian simulation. By integrating geological database, sedimentary facies maps with those property models, geologists will be able to capture the partial characteristics and whole structure embodied in the geological data in a direct-viewing, figurative and accurate manner.
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Jacquemyn, Carl, Margaret E. H. Pataki, Gary J. Hampson, Matthew D. Jackson, Dmytro Petrovskyy, Sebastian Geiger, Clarissa C. Marques, et al. "Sketch-based interface and modelling of stratigraphy and structure in three dimensions." Journal of the Geological Society 178, no. 4 (February 22, 2021): jgs2020–187. http://dx.doi.org/10.1144/jgs2020-187.

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Geological modelling is widely used to predict resource potential in subsurface reservoirs. However, modelling is often slow, requires use of mathematical methods that are unfamiliar to many geoscientists, and is implemented in expert software. We demonstrate here an alternative approach using sketch-based interface and modelling, which allows rapid creation of complex three-dimensional (3D) models from 2D sketches. Sketches, either on vertical cross-sections or in map-view, are converted to 3D surfaces that outline geological interpretations. We propose a suite of geological operators that handle interactions between the surfaces to form a geologically realistic 3D model. These operators deliver the flexibility to sketch a geological model in any order and provide an intuitive framework for geoscientists to rapidly create 3D models. Two case studies are presented, demonstrating scenarios in which different approaches to model sketching are used depending on the geological setting and available data. These case studies show the strengths of sketching with geological operators. Sketched 3D models can be queried visually or quantitatively to provide insights into heterogeneity distribution, facies connectivity or dynamic model behaviour; this information cannot be obtained by sketching in 2D or on paper.Supplementary material: Rapid Reservoir Modelling prototype (executable and source code) is available at: https://bitbucket.org/rapidreservoirmodelling/rrm. Supplementary screen recordings for the different case studies showing sketch-based modelling in action are available at https://doi.org/10.6084/m9.figshare.c.5084141 and supplementary figure S1-S4 are available at https://doi.org/10.6084/m9.figshare.c.5303043
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Faulon, J. L., M. Vandenbroucke, J. M. Drappier, F. Behar, and M. Romero. "3D chemical model for geological macromolecules." Organic Geochemistry 16, no. 4-6 (January 1990): 981–93. http://dx.doi.org/10.1016/0146-6380(90)90134-l.

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MacCormack, Kelsey, Emmanuelle Arnaud, and Beth L. Parker. "Using a multiple variogram approach to improve the accuracy of subsurface geological models." Canadian Journal of Earth Sciences 55, no. 7 (July 2018): 786–801. http://dx.doi.org/10.1139/cjes-2016-0112.

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Subsurface geological models are often used to visualize and analyze the nature, geometry, and variability of geologic and hydrogeologic units in the context of groundwater resource studies. The development of three-dimensional (3D) subsurface geological models covering increasingly larger model domains has steadily increased in recent years, in step with the rapid development of computing technology and software, and the increasing need to understand and manage groundwater resources at the regional scale. The models are then used by decision makers to guide activities and policies related to source water protection, well field development, and industrial or agricultural water use. It is important to ensure that the modelling techniques and procedures are able to accurately delineate and characterize the heterogeneity of the various geological environments included within the regional model domain. The purpose of this study is to examine if 3D stratigraphic models covering complex Quaternary deposits can be improved by splitting the regional model into multiple submodels based on the degree of variability observed between surrounding data points and informed by expert geological knowledge of the geological–depositional framework. This is demonstrated using subsurface data from the Paris Moraine area near Guelph in southern Ontario. The variogram models produced for each submodel region were able to better characterize the data variability, resulting in a more geologically realistic interpolation of the entire model domain as demonstrated by the comparison of the model output with preexisting maps of surficial geology and bedrock topography as well as depositional models for these complex glacial environments. Importantly, comparison between model outputs reveals significant differences in the resulting subsurface stratigraphy, complexity, and variability, which would in turn impact groundwater flow model predictions.
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Yu, Jiang Tao, Jun Xie, Ning Ning Meng, and Peng Lin. "3D Geological Modeling in Chang109 Block of Changchunling Oilfield." Advanced Materials Research 204-210 (February 2011): 1891–94. http://dx.doi.org/10.4028/www.scientific.net/amr.204-210.1891.

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With the improving of reservoir development level, reservoir geologic research urgently need some new and practical technical methods to describe reservoir more accurately and meticulous. The three-dimensional geological modeling exactly is one of the main aspects to resolve the problem. Take the Chang109 block of Changchunling oilfield for an example. Using Petrel, which is multi-disciplinary and synthetical software for researching reservoir and to establish a 3D geological model as the outstanding characteristic, to build the reservoir model displaying geological information system. That, including the structure model, the sedimentary facies model and the property model, will provide reliable basis potential finding and well placement.
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Xu, Jing Rui, and Xue Li. "3D Geological Modeling in Complex Reservoir with Fractures – A Case of Biandong Oilfield." Applied Mechanics and Materials 556-562 (May 2014): 4116–19. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.4116.

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With the fast development of computer technology and 3D visualization technology, geological modleing has made great progress in recent years. The aim of geological modeling is to realize the integrated and quantitative prediction of underground geological bodies, and provide researchers with 3D display of geological characteristics, consequently. So, 3D geological modeling has become an important tool for people to carry out related studies in every oilfield of in China. This paper analyzes the complexity and diversity of geological bodies and geological structure, because these are the main factors that control the distribution and spread of sandboied and reservoir parameters. Based on these previous analysis, the 3D geological model is established with proper modeling method, and a certain 3D visualization of geological bodies are realized by through-well profiles and fence models. Also, the 3D geological model can provide a reliable scientific tools for decision-making for geological researchers.
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Dissertations / Theses on the topic "3D geological model"

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Chiacchio, Gotardo Olivia. "3D geological model of the San Leo plateau." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2019. http://amslaurea.unibo.it/19747/.

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The town of San Leo, situated in the Northern Apennines in Italy, is subject to instability phenomena due to its particular geological nature, described as a highly fractured calcarenite slab embedded in clay-rich terrains. The 3D geological model of the San Leo plateau, comprehending the eastern zone of the rock slab, was developed through the integration of data obtained from laser scanning and photogrammetrical surveys, as well as surface and core drilling geomechanical surveys, into one single system that enables the visualization of all structural features of the plateau in association with one another, including superficial and in-depth fractures and the equipment from the monitoring system that surveils the rock mass behavior. In that manner, it was established that the area along the northeastern scarp formed by the 2014 landslide event is highly fractured, characterized by an extremely high number of closed and few open fractures, whereas the area surrounding the road to the San Leo fortress along the eastern cliffs present fewer fractures in general, located predominantly in the vicinity of the eastern lateral walls. Moreover, two possible collapse scenarios were evaluated in the northeastern cliffs, in which the failure mechanism corresponding to the 2014 event was emulated for fractures parallel to the scarp, resulting in the collapse of a rock volume equivalent to 428,913.804m3. The persistence and behavior of the fractures involved in these scenarios were also analyzed, indicating that such events are not imminent at the present time.
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Malehmir, Alireza. "3D Geophysical and Geological Modeling in the Skellefte District: Implications for Targeting Ore Deposits." Doctoral thesis, Uppsala University, Department of Earth Sciences, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-8188.

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With the advancements in acquisition and processing of seismic reflection data recorded over crystalline rocks, building three-dimensional geologic models becomes increasingly favorable. Because of little available petrophysical data, interpretations of seismic reflection data in hardrock terrains are often speculative. Potential field data modeling are sometimes performed in order to reduce the ambiguity of seismic reflection interpretations. The Kristineberg mining area in the western part of the Paleoproterozoic Skellefte Ore District was chosen to construct a pilot three-dimensional geologic model in an attempt to understand the crustal architecture in the region and how the major mineral systems operated in this architecture. To contribute to this aim, two parallel seismic reflection profiles were acquired in 2003 and processed to 20 sec with special attention to the top 4 sec of data. Several reflections were imaged and interpreted by the aid of reflector modeling, borehole data, 2.5D and 3D potential field modeling, and geological observations. Interpretations are informative at the crustal scale and help to construct a three-dimensional geologic model of the Kristineberg mining area. The three-dimensional geologic model covers an area of 30×30 km2 down to a depth of 12 km. The integrations help to interpret a structural basement to the Skellefte volcanic rocks, possibly with Bothnian Basin metasedimentary affinity. The contact is a shear-zone that separates the two units, generating large fold structures, which can be observed in the region. The interpretations help to divide the Revsund granitic rocks into two major groups based on their present shape and thickness. A large gravity low in the south is best represented by the intrusion of thick dome of Revsund granite. In the north, the low-gravity corresponds to the intrusion of sheet-like Revsund granites. In general, the structure associated with the Skellefte volcanics and the overlying metasedimentary rocks are two thrusts exposing the Skellefte volcanic rocks in the cores of hanging wall anticlinal structures. Lack of coherent reflectivity in the seismic reflection data may be due to complex faulting and folding systems observed in the Skellefte volcanics. Ultramafic sills within the metasedimentary rocks are interpreted to extend down to depths of about 5-6 km. The interpretations are helpful for targeting new VHMS deposits and areas with gold potential. For VHMS deposits, these are situated in the southern limb of a local synformal structure south of the Kristineberg mine, on the contact between the Revsund granite and the Skellefte volcanic rocks. A combination of metasedimentary and mafic-ultramafic rocks are highly gold prospective in the west, similar to observations elsewhere in the region. There are still questions that remain unanswered and need more work. New data in the study area will help to answer questions related to e.g., an enigmatic diffraction seismic signal in Profile 5 and the structural relationship between the Skellefte volcanic rocks and the Malå volcanics. Although the derived 3D geologic model is preliminary and constructed at the crustal scale, it provides useful information to better understand the tectonic evolution of the Kristineberg mining area.

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Semmens, Stephen Bradley. "An Engineering Geological Investigation of the Seismic Subsoil Classes in the Central Wellington Commercial Area." Thesis, University of Canterbury. Geological Sciences, 2010. http://hdl.handle.net/10092/4287.

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The city of Wellington has a high population concentration and lies within a geologically active landscape at the southern end of the North Island, New Zealand. Wellington has a high seismic risk due to its close proximity to several major fault systems, with the active Wellington Fault located in the north-western central city. Varying soil depth and properties in combination with the close proximity of active faults mean that in a large earthquake rupture event, ground shaking amplification is expected to occur in Thorndon, Te Aro and around the waterfront. This thesis focuses on the area bounded by Thorndon Overbridge in the north, Wellington Hospital in the south, Kelburn in the west, and Oriental Bay in the east. It includes many of the major buildings and infrastructural elements located within the central Wellington commercial area. The main objectives were to create an electronic database which allows for convenient access to all available data within the study area, to create a 3D geological model based upon this data, and to define areas of different seismic subsoil class and depth to rock within the study area at a scale that is useful for preliminary geotechnical analysis (1:5,000. Borelogs from 1025 holes with accompanying geological and geotechnical data obtained from GNS Science and Tonkin & Taylor were compiled into a database, together with the results from SPAC microtremor testing at 12 sites undertaken specifically for this study. This thesis discusses relevant background work and defines the local Wellington geology. A 3D geological model of the central Wellington commercial area, along with ten ArcGIS maps including surficial, depth to bedrock, site period, Vs30, ground shaking amplification hazard and site class (NZS 1170.5:2004) maps were created. These outputs show that a significant ground shaking amplification risk is posed on the city, with the waterfront, Te Aro and Thorndon areas most at risk.
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ZUFFETTI, CHIARA. "CHARACTERIZATION AND MODELLING OF COMPLEX GEOLOGICAL ARCHITECTURES: THE QUATERNARY FILL OF THE PO BASIN AT THE PO PLAIN-APENNINES BORDER (LOMBARDY, ITALY)." Doctoral thesis, Università degli Studi di Milano, 2019. http://hdl.handle.net/2434/612291.

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Object of this work is the 3-D modelling of complex geological architectures in the Quaternary Po Basin (Lombardy, Italy). Reliable surface and subsurface models in Quaternary alluvial basins are important for several applications, including groundwater research and management, geohazard evaluation, exploitation and protection of other natural resources. The study area is the Po Plain-Apennine border in Lombardy (Italy), in a peculiar sector where the structural culminations of the buried Emilian Arc salient of the Northern Apennines determine the location of isolated reliefs in the Po Plain (i.e. San Colombano Hill and Casalpusterlengo – Zorlesco subtle relic reliefs). This area was selected because it permits to improve the 3-D modelling procedure in a complex tectono-stratigraphic-geomorphological setting, which is of interest for both the still controversial geological reconstructions of the Po Basin and the relevant issues in groundwater management and geothermal energy exploitation. The Quaternary sedimentary fill of the southern margin of the Po Basin in Lombardy records the complex interplay between active Apennine thrusting to the South, rebound and isostatic response to deglaciations at the flexed Alpine margin to the North and the dynamics induced by Quaternary glacial cycles. All of these factors produced the assemblage of nested stratigraphic, structural and geomorphological complexities which are the object of this work. Reliable 3-D models must account for multiple ranks and scales of sedimentary heterogeneity. To obtain such a result, this works attempts to compute 3-D models, constrained not only by the traditional explicit geological “hard” surface and subsurface data, but also by the implicit “soft” data represented by the increments of the geological evolution of the basin. At present, none of the available modelling methods incorporates geological evolution, hierarchy of stratigraphic and structural components of geological heterogeneity and uncertainty as formal rules of 3-D model building in a straightforward manner. Aim of the work is to propose an integrated, multidisciplinary methodology to combine both explicit and implicit geological knowledge as constraint for 3-D (4-D) architectural geological modelling of the study area. Specific aims of this work are: i) to reconstruct the surface and subsurface Quaternary geology of the study area at different scales; ii) derive the increments and the autogenic vs. allogenic controlling factors on the geological evolution; iii) develop alternative 3-D (4-D) models of the Quaternary sedimentary infill of the area, honoring the new maps and subsurface reconstructions and accounting for the incremental geological evolution; iv) contribute to improve and implement a method that combines explicit geological data with the implicit hierarchic and evolutionary constraints for 3-D geological modelling. A multidisciplinary methodology has been set-up. It integrates i) classical geological, sedimentological, stratigraphic, geopedological, geomorphological and structural field surveys; ii) subsurface reconstruction based on stratigraphic correlation of borehole logs and geophysical images, along a fence of 2-D cross-sections over an area of 400 km2 and a maximum investigation depth of 150 m b.g.s.; iii) 3-D geological modelling based on integration of the GIS management of the multiple data-sets and the GeoModeller® 3-D modelling software. GeoModeller® was chosen for the feasibility to deal with the bounding surfaces, which is the key-concept to describe hierarchic frameworks and the key to introduce the genetic interpretation of the basin history (4th dimension) into 3-D representations. To do that, new software routines and novel concepts for the modelling rules were set-up and implemented in the commercial code. Results of the work include: i) a new geological and geomorphological map of the San Colombano hill at 1:10.000 scale over an area of about 60 km2; ii) a hierarchic stratigraphic scheme of the surface-subsurface Quaternary succession of the southern Po Basin, integrated to the iii) incremental tectono-depositional evolution of the Po Basin-Apennine border, that relates the ranking and the significance of the stratigraphic and morphological boundaries to the hierarchy of the Quaternary increments of the geological evolution; iv) the conceptualization of the implicit hierarchic rules to be introduced into 3-D model building, and the procedure to progressively include the explicit and implicit geological rules within multi-scale realizations; v) some new computing routines which let GeoModeller® to manage the new rules and vi) alternative 4-D geological models accounting for different interpretations of the geological evolution. Six high-rank increments of the geological evolution (“stages”) punctuated by low-rank steps have been described in this work. During stages 1 and 2, N-ward thrusting along the blind Emilian Arc originated the Zanclean and the Gelasian Unconformities. On the San Colombano hill, the Calabrian shallow marine San Colombano Fm. (PL4 highest-rank succession) unconformably overlies the truncated deep-marine Miocene formations, up-thrusted during Mio-Pliocene. At stage 3, Early to Middle Pleistocene increments of thrust-folding at the northernmost buried reaches of the Emilian Arc induced erosion of the intra-Calabrian unconformity (U1) and separated local depocentres related to the San Colombano and Casalpusterlengo – Zorlesco structures. These were filled by transitional and alluvial units (PS1 highest–rank succession). These regressive deposits, lap onto the uplifting structures of San Colombano and Casalpusterlengo - Zorlesco, suggesting the onset of their structural separation. At stage 4, these latter two structures were separated from the San Colombano thrust, since the Middle Pleistocene, by means of a newly interpreted dextral lateral ramp (San Colombano lateral ramp), as testified by the delayed migration of the depocentres of the Middle Pleistocene glacio-fluvial units and by the time-shift of the onlaps onto the different structures. After folding of U1, at the base of these units, the Early-Middle Pleistocene unconformity U2 was carved, bounding the base of the PS2 alluvial and glacio-fluvial high-rank succession. During stage 5, Late Pleistocene alluvial and glacio-fluvial units (PS3 highest-rank succession, correlative to late Besnate and Cantù Alpine glaciations) covered, through the Late Pleistocene unconformity (U3), the older glacio-fluvial succession in the subsurface of Casalpusterlengo and Zorlesco areas, while they terraced the deformed marine succession in the San Colombano area, both on the uplifted hilltop and on the surrounding “Plain Main Level” (Castiglioni and Pellegrini, 2001). Syndepositional normal faulting, related to dextral wrenching regime, occurred during this stage. Fault-related offset of Late Pleistocene units, stratigraphic and morpho- structural evidences (facets, relic surfaces and drainage patterns), document ongoing transtension, at stage 6 (Latest Pleistocene – Holocene; U4 unconformity), plausibly relating to the NNW-wards thrusting and related wrenching along the Pavia-Casteggio lateral ramp (Benedetti et al., 2003). Field evidences suggest to propose a link between the entrenchment and the anomalies of the post-glacial river network at the southern margin of the Po Plain to this tectonic stage. This reconstruction links the origin of the highest-rank unconformable stratigraphic boundaries to the Quaternary tectonic stages of Apennine thrusting, wrenching and extension. The intermediate- and low-rank unconformities relate to both minor tectonic increments and to the climatic-driven glacial cycles, because the bases of the glacio-fluvial units are nested within the highest-rank tectonic-induced unconformities. On the isolated reliefs, in situ paleosols testify the preservation of non-erosional surfaces, i.e. morphological surfaces, related to sites of morphological stability. These became the sites for loess aggradation during the Late Pleistocene, that means when the isolated reliefs had been already uplifted and the main controlling factor on deposition was climatic. The recognition of unconformable stratigraphic boundaries vs. conformable “morphological” boundaries permits to unravel the different chronostratigraphic significance of these two surface types (respectively time-transgressive and almost isochronous) and to use them to constrain the reconstruction of the chronological evolution of the basin and the 4-D model to be computed. A novel approach in the use of GeoModeller® is proposed by implementing a model building procedure based on coded ‘hierarchic rules’, at present not encompassed in the modelling suite. A rigorous routine is proposed to apply these rules to obtain at least three ranks of visualization of the 3-D geological architecture of the study area. The ordering of the geological units in the stratigraphic pile, combined with the set of the reference surface (top/bottom) and the nature of the interpolation for each surface (erode/onlap) conceptualized the hierarchic rules valid to represent complex stratigraphic architectures at each scale. 1) The isopotentials of GeoModeller® (i.e. the lowest rank surfaces which can be computed and represented by this software) describe well the morphological surfaces, i.e. surfaces stable through time. Using the orientation of the morphological surfaces as reference top boundary for model computation means to constrain the isopotentials to the deformation history of the area. This concept strongly impacts on the 3-D model application to the simulation of internal facies, as it would be necessary to simulate the distribution of hydrostratigraphic parameters. 2) Since crossing the isopotential, the erode stratigraphic boundaries bring the significance of the time-transgressive unconformable surfaces, in accordance with the geological evolution. 3) By attributing erode nature to the high-rank surfaces, and onlap rules and reverse ordering in the stratigraphic pile to the intermediate-rank ones, the resulting 3-D model displays the high-rank surfaces as composite stratigraphic unconformities, like they have been described by the geological model, since they collect the minor increments of deformation, deposition and erosion through the geological time. As a result, the proposed 3-D models are multiscale and honour the explicit geological observations and the implicit geological evolution at each scale of observation. The intermediate-rank boundaries and sediment volumes represent the result of the intermediate-rank evolutionary increments. On larger spatial and temporal scales, they can be grouped and visualized into higher-rank boundaries (‘U’ unconformities) and volumes, related to the major tectono-depositional stages. The relationship between geological history and geometrical features, with the possibility to upscale and downscale the model according to its hierarchic configuration in view of any specific application, is one novelty of the modelling results here presented. The uncertainties derived from the interpretation of the geological evolution gave rise to two alternative geological models of the San Colombano hill area. Both honour the input explicit data and differ on the interpretation of the extent of the conjugate fault systems that involved the Late Quaternary stratigraphy. The final visualization of the 3-D, ranked stratigraphic units and surfaces highlights the basic role of consistent 4-D geological models as the best synthesis of heterogeneous and multi-scale datasets, that represent the base for several applications at different scale. The adopted approach yields a model that can be easily updated, as soon as new knowledge gets available and modified, and permits to test different hypotheses accounting for any new implicit geological constraints.
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Mariez, Olivier. "Modélisation de solides par synthèse de l'analyse d'images 3D et de modèles à base de surfaces non-variétées." Vandoeuvre-les-Nancy, INPL, 1998. http://www.theses.fr/1998INPL034N.

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Construire un macro-modèle tridimensionnel du sous-sol à partir de coupes géologiques bidimensionnelles est un problème complexe auquel les géologues sont quotidiennement confrontés. Le modèle que nous voulons construire est un modèle B-Rep non-variété dont les régions qui représentent des entités géologiques (couches, chenaux, lentilles), sont délimitées par des surfaces triangulées. Cette thèse propose dans le cadre du projet GOCAD, une méthodologie basée sur l'intégration d'informations géologiques et topologiques permettant d'obtenir automatiquement des reconstructions 3D à partir de séries de coupes géologiques 2D parallèles. Dans un premier temps, les notions géologiques et informatiques nécessaires à la lecture de ce mémoire sont présentées : la notion de faille, la description du modèle topologique utilisé. Les problèmes à résoudre y sont également détaillés comme par exemple le calcul d'intersection entre les surfaces triangulées du modèle. Dans un second temps, la méthodologie proposée est décrite étape par étape en commençant par une méthode originale de recherche d'un réseau de failles basée sur la corrélation des rejets de failles. La méthode de reconstruction, quant a elle, repose sur l'utilisation de modèles B-Rep non-variétés 2D construits à partir des structures de données mises au point par k. Weiler. Ils permettent de représenter les coupes et d'en extraire le maximum d'informations topologiques. Ils permettent également de générer les surfaces en construisant pour chacune d'elles un squelette support de la triangulation. Enfin, plusieurs reconstructions basées sur des jeux de données réels ainsi que quelques applications sont présentées avant de conclure sur les perspectives de recherche futures.
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Nelson, Catherine Elizabeth. "Methods for constructing 3D geological and geophysical models of flood basalt provinces." Thesis, Durham University, 2010. http://etheses.dur.ac.uk/488/.

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In this thesis, realistic 3D geological models of flood basalt provinces are constructed. These models are based on outcrop observations and remote sensing data from the North Atlantic Igneous Province, collected by a variety of methods including terrestrial laser scanning. Geophysical data are added to the models to make them suitable for generating synthetic seismic data. Flood basalt provinces contain a number of different volcanic facies, distinguished by their outcrop appearance and physical properties. These include tabular-classic and compound-braided lava flows, intrusions and hyaloclastites. 3D models are constructed for tabular-classic lava flows based on satellite data from Iceland and laser scanning data from a variety of locations. Models for compound-braided lava flows are based on terrestrial laser scanning data and field observations from the Faroe Islands and the Isle of Skye. An additional finding of this work is that volcanic facies can be differentiated in wireline log data from boreholes. Facies show characteristic velocity distributions which can be linked to onshore observations and used to understand volcanic facies in offshore boreholes. Data from boreholes on the Faroe Islands are used to add seismic velocities to the 3D geological models above. This thesis also develops methods and workflows for constructing 3D geological models of flood basalt lava flows. The collection of digital 3D data using terrestrial laser scanning is evaluated, and data processing workflows are developed.
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Frick, Maximilian [Verfasser]. "Towards a more sustainable utilization of the urban geological subsurface: Insights from 3D thermohydraulic models / Maximilian Frick." Berlin : Freie Universität Berlin, 2019. http://d-nb.info/1178424510/34.

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Blessent, Daniela. "Integration of 3D geological and numerical models based on tetrahedral meshes for hydrogeological simulations in fractured porous media." Thesis, Université Laval, 2009. http://www.theses.ulaval.ca/2009/26468/26468.pdf.

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Castro, Scarlet A. "A probabilistic approach to jointly integrate 3D/4D seismic, production data and geological information for building reservoir models /." May be available electronically:, 2007. http://proquest.umi.com/login?COPT=REJTPTU1MTUmSU5UPTAmVkVSPTI=&clientId=12498.

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Iribarren, Rodríguez Ilazkiñe. "Modelos geológicos en 3D de la isla de Tenerife." Doctoral thesis, Universitat de Barcelona, 2014. http://hdl.handle.net/10803/284902.

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Tenerife es una isla volcánica cuya superficie muestra evidencias de grandes deslizamientos y una depresión central (caldera de Las Cañadas) cuyo origen ha sido bastante controvertido. Las dos hipótesis principales se basan en una serie de colapsos de caldera del complejo central y un colapso lateral del mismo edificio. Aprovechando la existencia de un gran número de perforaciones (pozos y galerías horizontales) ejecutadas para la explotación de agua dulce en la isla de Tenerife, y haciendo uso de su registro geológico, se quiere mostrar cuál de las hipótesis encaja mejor con la información del subsuelo. En primer lugar se ha utilizado el registro geológico de las perforaciones para elaborar una base de datos de la geología del subsuelo de Tenerife. Posteriormente se ha representado esta información de forma gráfica en mapas y vistas 3D. Y en tercer lugar se han elaborado los modelos geológicos. La modelización geológica se ha desarrollado principalmente para explotaciones mineras y petrolíferas, siendo su aplicación a terrenos volcánicos novedosa. Dada la particularidad que presenta Tenerife, con un registro geológico del subsuelo kilométrico, se ha aplicado el software GeoModeller2013 para cometer la modelización geológica de la isla, combinando además la geología de superficie, topografía, batimetría y datos magnetotelúricos. Los modelos teóricos construidos, basados en los datos reales observables, recogen las ideas de las dos hipótesis de generación de la caldera de Las Cañadas (caldera de colapso vertical o por deslizamiento lateral).
Tenerife offers one of the most complex but well exposed examples of active volcanic island, in which large scale destructive events have occurred during its subaerial construction, such as giant landslides. An international controversy exists about the origin of Las Cañadas depression and the valleys of Icod, La Orotava and Güímar. The main hypothesis of the Las Cañadas origin are a succession of caldera collapses and a landslide which headwall would be the southern part of Las Cañadas depression. The island has an extensive network of sub-horizontal galleries and vertical drills that are made to capture fresh water from the main aquifers. We have used the geological records from those boreholes to build a database of the subsurface’s geology. The 3D modelling tools, that were used mainly for petrological surveys are now applied to volcanology, combining geological maps, topography, bathimetry, geophysical studies and geological records from galleries and boreholes. The 3D geological models are based in the real data and the two main hypothesis about the origin of Las Cañadas. This way we want to know what of this two ideas are more viable with the actual data, or if all this information of the subsurface can conclude what is more realistic.
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Books on the topic "3D geological model"

1

Bistacchi, Andrea, Matteo Massironi, and Sophie Viseur, eds. 3D Digital Geological Models. Wiley, 2022. http://dx.doi.org/10.1002/9781119313922.

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Lamotte, Dominique Frizon de, Pascale Leturmy, Pauline Souloumiac, and Adrien Frizon de Lamotte. Geological Objects and Structures In 3D: Observation, Interpretation and Building of 3D Models. Taylor & Francis Group, 2020.

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Lamotte, Dominique Frizon de, Pascale Leturmy, Pauline Souloumiac, and Adrien Frizon de Lamotte. Geological Objects and Structures In 3D: Observation, Interpretation and Building of 3D Models. Taylor & Francis Group, 2020.

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Lamotte, Dominique Frizon de, Pascale Leturmy, Pauline Souloumiac, and Adrien Frizon de Lamotte. Geological Objects and Structures In 3D: Observation, Interpretation and Building of 3D Models. Taylor & Francis Group, 2020.

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Lamotte, Dominique Frizon de, Pascale Leturmy, Pauline Souloumiac, and Adrien Frizon de Lamotte. Geological Objects and Structures In 3D: Observation, Interpretation and Building of 3D Models. Taylor & Francis Group, 2020.

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Geological Objects and Structures In 3D: Observation, Interpretation and Building of 3D Models. Taylor & Francis Group, 2020.

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Bistacchi, Andrea, Matteo Massironi, and Sophie Viseur. 3D Digital Geological Models: From Terrestrial Outcrops to Planetary Surfaces. Wiley & Sons, Incorporated, John, 2022.

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Bistacchi, Andrea, Laurent Jorda, Matteo Massironi, and Sophie Viseur. 3D Digital Geological Models: From Terrestrial Outcrops to Planetary Surfaces. American Geophysical Union, 2022.

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Bistacchi, Andrea, Laurent Jorda, Matteo Massironi, and Sophie Viseur. 3D Digital Geological Models: From Terrestrial Outcrops to Planetary Surfaces. American Geophysical Union, 2022.

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Bistacchi, Andrea, Laurent Jorda, Matteo Massironi, and Sophie Viseur. 3D Digital Geological Models: From Terrestrial Outcrops to Planetary Surfaces. American Geophysical Union, 2022.

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Book chapters on the topic "3D geological model"

1

Pan, Xiaohua, Wei Guo, Zarli Aung, Aung KoKo Nyo, Kiefer Chiam, Defu Wu, and Jian Chu. "Procedure for Establishing a 3D Geological Model for Singapore." In Proceedings of GeoShanghai 2018 International Conference: Transportation Geotechnics and Pavement Engineering, 81–89. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-0011-0_9.

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Laine, Eevaliisa. "Geological 3D Modeling (Processes) and Future Needs for 3D Data and Model Storage at Geological Survey of Finland." In Lecture Notes in Earth System Sciences, 839–42. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-32408-6_182.

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Mulder, M. H., S. Pen, and I. L. Ritsema. "Exchange Format for Optimal Transfer of Geological and Geophysical 3D Subsurface Model Data." In The European Oil and Gas Conference, 483–88. Dordrecht: Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-010-9844-1_70.

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Failache, Moisés Furtado, and Lázaro Valentim Zuquette. "The Development of a Geological 3D Model of the São Carlos Region, Brazil." In IAEG/AEG Annual Meeting Proceedings, San Francisco, California, 2018—Volume 6, 199–205. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-93142-5_28.

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Hanif, Muhammad, and Lina Handayani. "2D and 3D Subsurface Geological Model of Baribis Fault Zone Using the Gravity Method." In Springer Proceedings in Physics, 991–97. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-0308-3_79.

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Free, Matthew, Ben Gilson, Jason Manning, Richard Hosker, David Schofield, Martin Walsh, and Mark Doherty. "A 3D Geological Fault Model for Characterisation of Geological Faults at the Proposed Site for the Wylfa Newydd Nuclear Power Plant, Wales." In IAEG/AEG Annual Meeting Proceedings, San Francisco, California, 2018—Volume 6, 245–51. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-93142-5_34.

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Begg, John G., Katie E. Jones, Mark S. Rattenbury, David J. A. Barrell, Razel Ramilo, and Dick Beetham. "A 3D Geological Model for Christchurch City (New Zealand): A Contribution to the Post-earthquake Re-build." In Engineering Geology for Society and Territory - Volume 5, 881–84. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09048-1_171.

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Huang, Xiao, Yingshuang Wang, Naiqi Shen, Yufeng Liu, and Gang Chen. "Research on Constructing 3D Geological Model of the Construction Layers in Daxing New City Area of Beijing City." In Lecture Notes in Electrical Engineering, 225–30. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-28807-4_32.

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Liu, Chun. "Modeling of Complex 3D Models." In Matrix Discrete Element Analysis of Geological and Geotechnical Engineering, 199–219. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4524-9_8.

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Janssens–Coron, Eric, Jacynthe Pouliot, Bernard Moulin, and Alfonso Rivera. "An Experimentation of Expert Systems Applied to 3D Geological Models Construction." In Developments in 3D Geo-Information Sciences, 71–91. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04791-6_5.

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Conference papers on the topic "3D geological model"

1

P. Fremming, N. "3D Geological Model Construction Using a 3D Grid." In ECMOR VIII - 8th European Conference on the Mathematics of Oil Recovery. European Association of Geoscientists & Engineers, 2002. http://dx.doi.org/10.3997/2214-4609.201405917.

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Ait Ettajer, T., and J. -L. Mallet. "Automatic modelling of geological model in 3D." In 56th EAEG Meeting. European Association of Geoscientists & Engineers, 1994. http://dx.doi.org/10.3997/2214-4609.201410203.

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Zuqiang Xiong and Ce Yuan. "Study on the 3D geological data model." In 2010 International Conference on Mechanic Automation and Control Engineering (MACE). IEEE, 2010. http://dx.doi.org/10.1109/mace.2010.5536115.

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Moyen, R., J. L. Mallet, T. Frank, B. Leflon, and J. J. Royer. "3D-Parameterization of the 3D Geological Space – The GeoChron Model." In ECMOR IX - 9th European Conference on the Mathematics of Oil Recovery. European Association of Geoscientists & Engineers, 2004. http://dx.doi.org/10.3997/2214-4609-pdb.9.a004.

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Serpescu, Irina. "3D GEOLOGICAL MODEL OF BUCHAREST CITY QUATERNARY DEPOSITS." In 13th SGEM GeoConference on SCIENCE AND TECHNOLOGIES IN GEOLOGY, EXPLORATION AND MINING. Stef92 Technology, 2013. http://dx.doi.org/10.5593/sgem2013/ba1.v2/s02.001.

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Lacaze, S., and F. Pauget. "Faults Enhancement Based on 3D Geological Model Analysis." In 2nd EAGE International Conference on Fault and Top Seals - From Pore to Basin Scale 2009. European Association of Geoscientists & Engineers, 2009. http://dx.doi.org/10.3997/2214-4609.20147159.

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Hillier, Michael, Florian Wellmann, Boyan Brodaric, Eric de Kemp, and Ernst Schetselaar. "MACHINE LEARNING METHODS FOR 3D GEOLOGICAL MODEL CONSTRUCTION." In GSA 2020 Connects Online. Geological Society of America, 2020. http://dx.doi.org/10.1130/abs/2020am-355922.

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Lv, Xikui, Peipei Sun, and Xiaoping Zhou. "Data Model of 3D Geological Modeling and Realization." In Fifth International Conference on Transportation Engineering. Reston, VA: American Society of Civil Engineers, 2015. http://dx.doi.org/10.1061/9780784479384.191.

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Maximov, G. A., V. A. Larichev, D. N. Lesonen, and A. V. Derov. "Geospline: Mathematical Model of 3D Complex Geological Medium." In SPE Arctic and Extreme Environments Technical Conference and Exhibition. Society of Petroleum Engineers, 2013. http://dx.doi.org/10.2118/166834-ms.

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Liu, Y. B., T. Xiao, and L. M. Zhang. "3D Geological Modelling and Management System." In The HKIE Geotechnical Division 42nd Annual Seminar. AIJR Publisher, 2022. http://dx.doi.org/10.21467/proceedings.133.6.

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A three-dimensional (3-D) geological model has been established for Hong Kong using existing borehole data in order to facilitate detailed site investigations for future engineering projects. This study aims to digitalise ground investigation data in Hong Kong, develop easy-to-use tools for 3-D borehole management and visualisation, and eventually establish 3-D geological models for Hong Kong. The modelling capabilities include geological data retrieval and processing, geological cross-section creation, fence diagrams and 3-D model construction. With approximate 90,000 boreholes processed, 3-D virtual boreholes can be created and managed using ArcGIS Pro. Further, cross-sectional diagrams, fence diagrams and 3-D models can be created and presented. The 3-D geological model established shows the complexity of Hong Kong geological formation layers. Building a 3-D geological model based on machine learning or artificial intelligence is proved to be a feasible way to provide an accurate evaluation of soil layering. The interpreted cross-sections and constructed fence diagrams help engineers and geologists to better understand the complicated sub-surface profiles in a 3-D way, and provide estimates of the volumes of different types of soil locally. The 3-D model will become a design tool for future city and infrastructure planning and constructions.
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Reports on the topic "3D geological model"

1

Horsman, J., and W. Bethel. Methods of constructing a 3D geological model from scatter data. Office of Scientific and Technical Information (OSTI), April 1995. http://dx.doi.org/10.2172/106526.

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Russell, H. A. J., B. Brodaric, F. R. Brunton, T. Carter, J. Clark, C. Logan, and L. Sutherland. An animation of the 3D Phanerozoic geological model of southern Ontario. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2018. http://dx.doi.org/10.4095/306573.

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RIENÄCKER, Julia, Ronny LÄHNE, Wolfgang GOSSEL, and Peter WYCISK. Geological 3D model of Halle/Saale – complex fault-zone modelling (Germany). Cogeo@oeaw-giscience, September 2011. http://dx.doi.org/10.5242/iamg.2011.0118.

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Keller, G., G. Matile, H. Thorleifson, and Z. Malolepszy. 3D geological model of the Red River Valley, central North America. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2006. http://dx.doi.org/10.4095/221885.

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de Kemp, E. A., H. A. J. Russell, B. Brodaric, D. B. Snyder, M. J. Hillier, M. St-Onge, C. Harrison, et al. Initiating transformative geoscience practice at the Geological Survey of Canada: Canada in 3D. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/331097.

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Application of 3D technologies to the wide range of Geosciences knowledge domains is well underway. These have been operationalized in workflows of the hydrocarbon sector for a half-century, and now in mining for over two decades. In Geosciences, algorithms, structured workflows and data integration strategies can support compelling Earth models, however challenges remain to meet the standards of geological plausibility required for most geoscientific studies. There is also missing links in the institutional information infrastructure supporting operational multi-scale 3D data and model development. Canada in 3D (C3D) is a vision and road map for transforming the Geological Survey of Canada's (GSC) work practice by leveraging emerging 3D technologies. Primarily the transformation from 2D geological mapping, to a well-structured 3D modelling practice that is both data-driven and knowledge-driven. It is tempting to imagine that advanced 3D computational methods, coupled with Artificial Intelligence and Big Data tools will automate the bulk of this process. To effectively apply these methods there is a need, however, for data to be in a well-organized, classified, georeferenced (3D) format embedded with key information, such as spatial-temporal relations, and earth process knowledge. Another key challenge for C3D is the relative infancy of 3D geoscience technologies for geological inference and 3D modelling using sparse and heterogeneous regional geoscience information, while preserving the insights and expertise of geoscientists maintaining scientific integrity of digital products. In most geological surveys, there remains considerable educational and operational challenges to achieve this balance of digital automation and expert knowledge. Emerging from the last two decades of research are more efficient workflows, transitioning from cumbersome, explicit (manual) to reproducible implicit semi-automated methods. They are characterized by integrated and iterative, forward and reverse geophysical modelling, coupled with stratigraphic and structural approaches. The full impact of research and development with these 3D tools, geophysical-geological integration and simulation approaches is perhaps unpredictable, but the expectation is that they will produce predictive, instructive models of Canada's geology that will be used to educate, prioritize and influence sustainable policy for stewarding our natural resources. On the horizon are 3D geological modelling methods spanning the gulf between local and frontier or green-fields, as well as deep crustal characterization. These are key components of mineral systems understanding, integrated and coupled hydrological modelling and energy transition applications, e.g. carbon sequestration, in-situ hydrogen mining, and geothermal exploration. Presented are some case study examples at a range of scales from our efforts in C3D.
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Bonnardot, M. A., J. Wilford, N. Rollet, B. Moushall, K. Czarnota, S. C. T. Wong, and M. G. Nicoll. Mapping the cover in northern Australia: toward a unified national 3D geological model. Geoscience Australia, 2020. http://dx.doi.org/10.11636/134507.

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Brunton, F. R., T. Carter, C. Logan, J. Clark, K. Yeung, L. Fortner, C. Freckelton, L. Sutherland, and H. A. J. Russell. Lithostratigraphic compilation of Phanerozoic bedrock units and 3D geological model of southern Ontario. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2017. http://dx.doi.org/10.4095/299759.

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de Kemp, E. A. Canada in 3D - National Geological Surveys Committee update report. Natural Resources Canada/CMSS/Information Management, 2023. http://dx.doi.org/10.4095/331340.

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The Canada in 3D (C3D) project (https://canada3d.geosciences.ca/), formally initiated in the spring of 2020 by the National Geological Surveys Committee (NGSC) is required to provide a working group update to all its provincial and territorial partners. There have been several informal C3D working meetings with the partners prior to the creation of the C3D Charter and there has been a hiatus in communication through the Covid-19 pandemic. To re-engage the C3D community, a video tele-conference was held on June 6th, 2022 with approximately 44 participants. There was representation and presentations of all provinces and territories with various managers, technical and scientific observers. The purpose of this compilation of presentations and discussions from this 2022 C3D-NGSC reconnection meeting is to provide activity information to all participants, and their respective organizations, highlighting current geoscience compilation and modelling efforts in 2D and 3D. The aim is to help identify opportunities for collaboration on data standards, methods, applications and best practices but with the overall goal of working toward the C3D vision, outlined in the C3D charter of an updated 2D and 3D geological map/model of Canada.
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Flach, G. P. 3D Geological Modeling of the General Separations Area, Savannah River Site: A Preliminary Workflow and Model. Office of Scientific and Technical Information (OSTI), October 2002. http://dx.doi.org/10.2172/804060.

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HAN, JongGyu, YeongKwang YEON, HyeJa HYUN, and DuckHwan HWANG. Building 3D Geological Model of Polymetallic Mineral Deposit, Wondong Mine Area of Taebaegsan Mineralized Zone in Korea. Cogeo@oeaw-giscience, September 2011. http://dx.doi.org/10.5242/iamg.2011.0044.

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