Academic literature on the topic 'Facies maps'

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Journal articles on the topic "Facies maps"

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de Matos, Marcílio Castro, Paulo Léo Osorio, and Paulo Roberto Johann. "Unsupervised seismic facies analysis using wavelet transform and self-organizing maps." GEOPHYSICS 72, no. 1 (January 2007): P9—P21. http://dx.doi.org/10.1190/1.2392789.

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Unsupervised seismic facies analysis provides an effective way to estimate reservoir properties by combining different seismic attributes through pattern recognition algorithms. However, without consistent geological information, parameters such as the number of facies and even the input seismic attributes are usually chosen in an empirical way. In this context, we propose two new semiautomatic alternative methods. In the first one, we use the clustering of the Kohonen self-organizing maps (SOMs) as a new way to build seismic facies maps and to estimate the number of seismic facies. In the second method, we use wavelet transforms to identify seismic trace singularities in each geologically oriented segment, and then we build the seismic facies map using the clustering of the SOM. We tested both methods using synthetic and real seismic data from the Namorado deepwater giant oilfield in Campos Basin, offshore Brazil. The results confirm that we can estimate the appropriate number of seismic facies through the clustering of the SOM. We also showed that we can improve the seismic facies analysis by using trace singularities detected by the wavelet transform technique. This workflow presents the advantage of being less sensitive to horizon interpretation errors, thus resulting in an improved seismic facies analysis.
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Saraswat, Puneet, and Mrinal K. Sen. "Artificial immune-based self-organizing maps for seismic-facies analysis." GEOPHYSICS 77, no. 4 (July 1, 2012): O45—O53. http://dx.doi.org/10.1190/geo2011-0203.1.

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Seismic facies, combined with well-log data and other seismic attributes such as coherency, curvature, and AVO, play an important role in subsurface geological studies, especially for identification of depositional structures. The effectiveness of any seismic facies analysis algorithm depends on whether or not it is driven by local geologic factors, the absence of which may lead to unrealistic information about subsurface geology, depositional environment, and lithology. This includes proper identification of number of classes or facies existing in the data set. We developed a hybrid waveform classification algorithm based on an artificial immune system and self-organizing maps (AI-SOM), that forms the class of unsupervised classification or automatic facies identification followed by facies map generation. The advantage of AI-SOM is that, unlike, a stand-alone SOM, it is more robust in the presence of noise in seismic data. Artificial immune system (AIS) is an excellent data reduction technique providing a compact representation of the training data; this is followed by clustering and identification of number of clusters in the data set. The reduced data set from AIS processing serves as an excellent input to SOM processing. Thus, facies maps generated from AI-SOM are less affected by noise and redundancy in the data set. We tested the effectiveness of our algorithm with application to an offshore 3D seismic volume from F3 block in the Netherlands. The results confirmed that we can better interpret an appropriate number of facies in the seismic data using the AI-SOM approach than with a conventional SOM. We also examined the powerful data-reduction capabilities of AIS and advantages the of AI-SOM over SOM when data under consideration were noisy and redundant.
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Geluk, M. C. "Late Permian (Zechstein) carbonate-facies maps, the Netherlands." Netherlands Journal of Geosciences - Geologie en Mijnbouw 79, no. 1 (March 2000): 17–27. http://dx.doi.org/10.1017/s0016774600021545.

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AbstractThe Late Permian Zechstein carbonates in the Southern Permian Basin were deposited under marine conditions. The carbonates form part of a largely progradational infill, with a gradual northward facies shift. The paleogeography of the Zechstein carbonate deposits has been reviewed recently on the base of well data, cores and publications. This has resulted in three updated maps of the carbonate units. These maps reflect the increase in knowledge of the palaeogeography of the Zechstein as a result of several decades of subsurface exploration. It is found that deposition of the carbonates was controlled by various factors, i.e., rifting during deposition of the basal Zechstein, sea-level fluctuations and basin subsidence. This resulted in an overall E-W orientated facies distribution in the Zechstein carbonates, and in the gradual northward shift of the various facies belts in time.Reefs in the Zl Carbonate Member and off-platform highs and turbidites in the Z2 Carbonate Member have been identified as potential future exploration targets.
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Marroquín, Iván Dimitri, Jean-Jules Brault, and Bruce S. Hart. "A visual data-mining methodology for seismic facies analysis: Part 2 — Application to 3D seismic data." GEOPHYSICS 74, no. 1 (January 2009): P13—P23. http://dx.doi.org/10.1190/1.3046456.

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A visual data-mining approach to unsupervised clustering analysis can be an effective tool for visualizing and understanding patterns inherent in seismic data (i.e., seismic facies). The unsupervised clustering analysis is completely data-driven, requiring no external information (e.g., well logs) to guide the seismic-trace classification. We demonstrate the application of the visual data-mining approach to seismic facies analysis on a real 3D seismic data volume. We select two stratigraphic intervals, the first including a Devonian pinnacle reef system and the second containing a Jurassic siliciclastic channel system. Both analyses show major stratigraphic features that can be defined in horizon slices or other types of visualization. However, the visual data-mining approach creates seismic facies maps with improved visual detail, distinguishing seismic trace-shape variability in the data. We also compare the facies maps with those obtained from a commercial package for seismic facies classification. Both approaches created similar facies maps, but the visual strategy better depicts subtle stratigraphic changes in the bodies being imaged, offering insight into the nature of these features.
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Dixit, Nilesh, Paul McColgan, and Kimberly Kusler. "Machine Learning-Based Probabilistic Lithofacies Prediction from Conventional Well Logs: A Case from the Umiat Oil Field of Alaska." Energies 13, no. 18 (September 17, 2020): 4862. http://dx.doi.org/10.3390/en13184862.

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A good understanding of different rock types and their distribution is critical to locate oil and gas accumulations in the subsurface. Traditionally, rock core samples are used to directly determine the exact rock facies and what geological environments might be present. Core samples are often expensive to recover and, therefore, not always available for each well. Wireline logs provide a cheaper alternative to core samples, but they do not distinguish between various rock facies alone. This problem can be overcome by integrating limited core data with largely available wireline log data with machine learning. Here, we presented an application of machine learning in rock facies predictions based on limited core data from the Umiat Oil Field of Alaska. First, we identified five sandstone reservoir facies within the Lower Grandstand Member using core samples and mineralogical data available for the Umiat 18 well. Next, we applied machine learning algorithms (ascendant hierarchical clustering, self-organizing maps, artificial neural network, and multi-resolution graph-based clustering) to available wireline log data to build our models trained with core-driven information. We found that self-organizing maps provided the best result among other techniques for facies predictions. We used the best self-organizing maps scheme for predicting similar reservoir facies in nearby uncored wells—Umiat 23H and SeaBee-1. We validated our facies prediction results for these wells with observed seismic data.
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Raggatt, Jim, Tim Gibbons, James Stockley, and Ian Deighton. "Browse Basin sequence stratigraphic study." APPEA Journal 52, no. 2 (2012): 703. http://dx.doi.org/10.1071/aj11117.

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In addition to the large gas fields already discovered in the Browse Basin, there is considerable scope for further exploration success because this basin holds an estimated recoverable reserve of 30 tcf gas. TGS has completed the Browse Basin Sequence stratigraphic study to specifically understand the many depositional environments of this basin by a comprehensive analysis of 75 key wells all tied to extensive 2D seismic interpretation. With a standardized lithostratigraphic and chronostratigraphic interpretation, each well has a full 3rd order sequence boundary record across all logged sections, and was subsequently assigned detailed gross depositional environments (GDE). Tied to the GDE’s are specific and highly detailed facies associations, displayed in 26 facies maps, thereby building a robust multi-sequence geological model constrained by sequences. These basin-wide facies maps delineate known source, reservoir and seal and propose where—within the robust geological model—potentially similar facies have been deposited and preserved. This extended abstract is delivered by the Facies Map Browser (FMB), a unique product, containing all data and interpreted maps. The Browse Basin FMB allows users to quickly understand the basin-wide depositional history and interpreted facies. With the multi-well and multi-source background database, the FMB product has proven to shorten the exploration cycle by its sheer level of detail and wide ranging interpretation.
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Zhao, Tao, Fangyu Li, and Kurt J. Marfurt. "Constraining self-organizing map facies analysis with stratigraphy: An approach to increase the credibility in automatic seismic facies classification." Interpretation 5, no. 2 (May 31, 2017): T163—T171. http://dx.doi.org/10.1190/int-2016-0132.1.

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Pattern recognition-based seismic facies analysis techniques are commonly used in modern quantitative seismic interpretation. However, interpreters often treat techniques such as artificial neural networks and self-organizing maps (SOMs) as a “black box” that somehow correlates a suite of attributes to a desired geomorphological or geomechanical facies. Even when the statistical correlations are good, the inability to explain such correlations through principles of geology or physics results in suspicion of the results. The most common multiattribute facies analysis begins by correlating a suite of candidate attributes to a desired output, keeping those that correlate best for subsequent analysis. The analysis then takes place in attribute space rather than ([Formula: see text], [Formula: see text], and [Formula: see text]) space, removing spatial trends often observed by interpreters. We add a stratigraphy layering component to a SOM model that attempts to preserve the intersample relation along the vertical axis. Specifically, we use a mode decomposition algorithm to capture the sedimentary cycle pattern as an “attribute.” If we correlate this attribute to the training data, it will favor SOM facies maps that follow stratigraphy. We apply this workflow to a Barnett Shale data set and find that the constrained SOM facies map shows layers that are easily overlooked on traditional unconstrained SOM facies map.
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Zhao, Tao, Jing Zhang, Fangyu Li, and Kurt J. Marfurt. "Characterizing a turbidite system in Canterbury Basin, New Zealand, using seismic attributes and distance-preserving self-organizing maps." Interpretation 4, no. 1 (February 1, 2016): SB79—SB89. http://dx.doi.org/10.1190/int-2015-0094.1.

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Recent developments in seismic attributes and seismic facies classification techniques have greatly enhanced the capability of interpreters to delineate and characterize features that are not prominent in conventional 3D seismic amplitude volumes. The use of appropriate seismic attributes that quantify the characteristics of different geologic facies can accelerate and partially automate the interpretation process. Self-organizing maps (SOMs) are a popular seismic facies classification tool that extract similar patterns embedded with multiple seismic attribute volumes. By preserving the distance in the input data space into the SOM latent space, the internal relation among data vectors on an SOM facies map is better presented, resulting in a more reliable classification. We have determined the effectiveness of the modified algorithm by applying it to a turbidite system in Canterbury Basin, offshore New Zealand. By incorporating seismic attributes and distance-preserving SOM classification, we were able to observe architectural elements that are overlooked when using a conventional seismic amplitude volume for interpretation.
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Sahoo, Tusar, Peter King, Kyle Bland, Dominic Strogen, Richard Sykes, and Francois Bache. "Tectono-sedimentary evolution and source rock distribution of the mid to Late Cretaceous succession in the Great South Basin, New Zealand." APPEA Journal 54, no. 1 (2014): 259. http://dx.doi.org/10.1071/aj13026.

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The Great South Basin, off New Zealand’s southeast coast, has attracted renewed exploration interest from major petroleum companies since 2005. The distribution of the mid Cretaceous to Paleocene source rocks (coals and coaly mudstones) is a critical component in evaluating basin prospectivity. This paper delineates source rock distribution from seismic facies characterisation, and presents a series of updated paleogeographic maps over the initial (Cretaceous) phases of basin evolution. Basin evolution has been analysed from mapped sequence stratigraphic boundaries and isochron maps. Seismic facies were characterised based on the amplitude, continuity, and stacking pattern of the reflection packages. The identified facies were calibrated with well data for age, gross lithology, and gross depositional environment. Areas of source rock deposition were demarcated using seismic attribute interval maps, from which a series of updated paleogeographic maps was prepared. Four second-order sequences have been identified within the Cretaceous succession. The lower two sequences are mainly fault bounded and were deposited in a syn-rift phase. In contrast, the upper two sequences reflect a change in basin character from rifting to a post-rift thermal sag phase. Source facies within both the syn- and post-rift sequences were deposited in mainly non-marine to marginal marine settings, although there is also the possibility of lacustrine source rocks in isolated syn-rift depocentres. The wide geographic spread of source rock intervals within the Cretaceous sequences allows for a variety of petroleum generation and exploration play scenarios.
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Qian, Feng, Miao Yin, Xiao-Yang Liu, Yao-Jun Wang, Cai Lu, and Guang-Min Hu. "Unsupervised seismic facies analysis via deep convolutional autoencoders." GEOPHYSICS 83, no. 3 (May 1, 2018): A39—A43. http://dx.doi.org/10.1190/geo2017-0524.1.

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One of the most important goals of seismic stratigraphy studies is to interpret the elements of the seismic facies with respect to the geologic environment. Prestack seismic data carry rich information that can help us get higher resolution and more accurate facies maps. Therefore, it is promising to use prestack seismic data for the seismic facies recognition task. However, because each identified object changes from the poststack trace vectors to a prestack trace matrix, effective feature extraction becomes more challenging. We have developed a novel data-driven offset-temporal feature extraction approach using the deep convolutional autoencoder (DCAE). As an unsupervised deep learning method, DCAE learns nonlinear, discriminant, and invariant features from unlabeled data. Then, seismic facies analysis can be accomplished through the use of conventional classification or clustering techniques (e.g., K-means or self-organizing maps). Using a physical model and field prestack seismic surveys, we comprehensively determine the effectiveness of our scheme. Our results indicate that DCAE provides a much higher resolution than the conventional methods and offers the potential to significantly highlight stratigraphic and depositional information.
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Dissertations / Theses on the topic "Facies maps"

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Lira, Filipe Silva. "Caracteriza??o de reservat?rios silicicl?sticos neoaptianos: um estudo do membro carm?polis no campo de Camorim, sub-bacia de Sergipe, Brasil." Universidade Federal do Rio Grande do Norte, 2013. http://repositorio.ufrn.br:8080/jspui/handle/123456789/18837.

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Made available in DSpace on 2015-03-13T17:08:38Z (GMT). No. of bitstreams: 1 FilipeSL_DISSERT.pdf: 18861623 bytes, checksum: dec06565f69ab3657111750b25f78441 (MD5) Previous issue date: 2013-06-27
The Camorim Oilfield, discovered in 1970 in the shallow water domain of the Sergipe Sub-basin, produces hydrocarbons from the Carm?polis Member of the Muribeca Formation, the main reservoir interval, interpreted as siliciclastics deposited in an alluvial-fluvial-deltaic context during a late rifting phase of Neoaptian age, in the Sergipe-Alagoas Basin. The structural setting of the field defines different production blocks, being associated to the evolution of the Atalaia High during the rift stage and subsequent reactivations, encompassing NE-SW trending major normal faults and NWEW trending secondary faults. The complexity of this field is related to the strong facies variation due to the interaction between continental and coastal depositional environments, coupled with strata juxtaposition along fault blocks. This study aims to geologically characterize its reservoirs, to provide new insights to well drilling locations in order to increase the recovery factor of the field. Facies analysis based on drill cores and geophysical logs and the 3D interpretation of a seismic volume, provide a high resolution stratigraphic analysis approach to be applied in this geodynamic transitional context between the rift and drift evolutionary stages of the basin. The objective was to define spatial and time relations between production zones and the preferential directions of fluid flow, using isochore maps that represent the external geometry of the deposits and facies distribution maps to characterize the internal heterogeneities of these intervals, identified in a 4th order stratigraphic zoning. This work methodology, integrated in a 3D geological modelling process, will help to optimize well drilling and hydrocarbons production. This methodology may be applied in other reservoirs in tectonic and depositional contexts similar to the one observed at Camorim, for example, the oil fields in the Aracaju High, Sergipe Sub-basin, which together represent the largest volume of oil in place in onshore Brazilian basins
O Campo de Camorim, descoberto em 1970 na por??o de ?guas rasas da Subbacia de Sergipe, produz hidrocarbonetos do Membro Carm?polis/Forma??o Muribeca, principal intervalo reservat?rio, interpretado como silicicl?sticos depositados em um contexto al?vio-fl?vio-deltaico na fase tardia do rifteamento da Bacia Sergipe-Alagoas, Neoaptiano. O arcabou?o estrutural, que subdivide o campo em blocos produtores, est? associado ? evolu??o do Alto de Atalaia durante a fase rifte e reativa??es posteriores, apresentando falhas normais principais de dire??o NE-SW e falhas secund?rias de dire??es NW-SE e E-W. A complexidade do campo est? ligada ? intensa varia??o faciol?gica, resultante da intera??o entre os ambientes deposicionais continentais e costeiros, e a justaposi??o dos estratos associada ? evolu??o estrutural. Este trabalho tem como objetivo a caracteriza??o geol?gica dos reservat?rios para dar subs?dios ?s novas perfura??es de po?os destinados a aumentar o fator de recupera??o do campo. Deste modo, a partir da an?lise faciol?gica realizada em testemunhos e perfis geof?sicos, em conjunto com a interpreta??o do volume s?smico 3D, prop?e-se uma metodologia que se baseia na an?lise estratigr?fica de alta resolu??o, aplicada em um contexto geodin?mico transicional entre os est?gios rifte e drifte de evolu??o da bacia, capaz de determinar as rela??es espaciais e temporais das zonas produtoras e as dire??es preferenciais do fluxo de fluidos, empregando para este fim, mapas de is?coras que representam a geometria externa, e mapas de distribui??o de f?cies para as heterogeneidades internas destes intervalos identificados em um zoneamento estratigr?fico de 4? ordem. Esta metodologia de trabalho, integrada em um processo de modelagem geol?gica 3D, vai ser utilizada para estabelecer a geometria da malha de po?os injetores/produtores do intervalo de interesse e pode ser aplicada em outros reservat?rios cujo contexto tect?nico-deposicional seja semelhante ao observado em Camorim, caso dos campos localizados no Alto de Aracaju, Sub-bacia de Sergipe, que juntos comp?em o maior volume de ?leo in place na por??o terrestre das bacias brasileiras
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Kundu, Sangeeta J. "Facial strain maps as a biometric source." [Tampa, Fla.] : University of South Florida, 2005. http://purl.fcla.edu/fcla/etd/SFE0001280.

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Mehdi, Ali. "Developing a Computer System for the Generation of Unique Wrinkle Maps for Human Faces. Generating 2D Wrinkle Maps using Various Image Processing Techniques and the Design of 3D Facial Ageing System using 3D Modelling Tools." Thesis, University of Bradford, 2011. http://hdl.handle.net/10454/5144.

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Facial Ageing (FA) is a very fundamental issue, as ageing in general, is part of our daily life process. FA is used in security, finding missing children and other applications. It is also a form of Facial Recognition (FR) that helps identifying suspects. FA affects several parts of the human face under the influence of different biological and environmental factors. One of the major facial feature changes that occur as a result of ageing is the appearance and development of wrinkles. Facial wrinkles are skin folds; their shapes and numbers differ from one person to another, therefore, an advantage can be taken over these characteristics if a system is implemented to extract the facial wrinkles in a form of maps. This thesis is presenting a new technique for three-dimensional facial wrinkle pattern information that can also be utilised for biometric applications, which will back up the system for further increase of security. The procedural approaches adopted for investigating this new technique are the extraction of two-dimensional wrinkle maps of frontal human faces for digital images and the design of three-dimensional wrinkle pattern formation system that utilises the generated wrinkle maps. The first approach is carried out using image processing tools so that for any given individual, two wrinkle maps are produced; the first map is in a binary form that shows the positions of the wrinkles on the face while the other map is a coloured version that indicates the different intensities of the wrinkles. The second approach of the 3D system development involves the alignment of the binary wrinkle maps on the corresponding 3D face models, followed by the projection of 3D curves in order to acquire 3D representations of the wrinkles. With the aid of the coloured wrinkle maps as well as some ageing parameters, simulations and predictions for the 3D wrinkles are performed.
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Manohar, Vasant. "Video-Based Person Identification Using Facial Strain Maps as a Biometric." Scholar Commons, 2006. http://scholarcommons.usf.edu/etd/3797.

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Research on video-based face recognition has started getting increased attention in the past few years. Algorithms developed for video have an advantage from the availability of plentitude of frames in videos to extract information from. Despite this fact, most research in this direction has limited the scope of the problem to the application of still image-based approaches to some selected frames on which 2D algorithms are expected to perform well. It can be realized that such an approach only uses the spatial information contained in video and does not incorporate the temporal structure.Only recently has the intelligence community begun to approach the problem in this direction. Video-based face recognition algorithms in the last couple of years attempt to simultaneously use the spatial and temporal information for the recognition of moving faces. A new face recognition method that falls into the category of algorithms that adopt spatio-temporal representation and utilizes dynamic information extracted from video is presented. The method was designed based on the hypothesis that the strain pattern exhibited during facial expression provides a unique "fingerprint" for recognition. First, a dense motion field is obtained with an optical flow algorithm. A strain pattern is then derived from the motion field. In experiments with 30 subjects, results indicate that strain pattern is an useful biometric, especially when dealing with extreme conditions such as shadow light and face camouflage, for which conventional face recognition methods are expected to fail. The ability to characterize the face using the elastic properties of facial skin opens up newer avenues to the face recognition community in the context of modeling a face using features beyond visible cues.
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Kaspersson, Max. "Facial Realism through Wrinkle Maps : The Perceived Impact of Different Dynamic Wrinkle Implementations." Thesis, Blekinge Tekniska Högskola, Institutionen för kreativa teknologier, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-10370.

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Context. Real time rendering has many challenges to overcome, one of them being character realism. One way to move towards realism is to use wrinkle maps. Although already used in several games, there might be room for improvement, common practice suggests using two wrinkle maps, however, if this number can be reduced both texture usage and workload might be reduced as well. Objectives. To determine whether or not it is possible to reduce the number of wrinkle maps from two to one without having any significant impact on the perceived realism of a character. Methods. After a base character model was created, a setup in Maya were made so that dynamic wrinkles could be displayed on the character using both one and two wrinkle maps. The face were animated and rendered, displaying emotions using both techniques. A two-alternative forced choice experiment was then conducted where the participants selected which implementation displaying the same facial expression and having the same lighting condition they perceived as most realistic. Results. Results showed that some facial expressions had more of an impact of the perceived realism than others, favoring two wrinkle maps in every case where there was a significant difference. The expressions with the most impact were the ones that required different kinds of wrinkles at the same area of the face, such as the forehead, where one variant of wrinkles run at a more vertical manner and the other variant runs horizontally along the forehead. Conclusions. Using one wrinkle map can not fully replicate the effect of using two when it comes to realism. The difference on the implementations are dependant on the expression being displayed.
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Saleh, Yaser. "Face recognition enhancement through the use of depth maps and deep learning." Thesis, Loughborough University, 2017. https://dspace.lboro.ac.uk/2134/26606.

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Face recognition, although being a popular area of research for over a decade has still many open research challenges. Some of these challenges include the recognition of poorly illuminated faces, recognition under pose variations and also the challenge of capturing sufficient training data to enable recognition under pose/viewpoint changes. With the appearance of cheap and effective multimodal image capture hardware, such as the Microsoft Kinect device, new possibilities of research have been uncovered. One opportunity is to explore the potential use of the depth maps generated by the Kinect as an additional data source to recognize human faces under low levels of scene illumination, and to generate new images through creating a 3D model using the depth maps and visible-spectrum/RGB images that can then be used to enhance face recognition accuracy by improving the training phase of a classification task. With the goal of enhancing face recognition, this research first investigated how depth maps, since not affected by illumination, can improve face recognition, if algorithms traditionally used in face recognition were used. To this effect a number of popular benchmark face recognition algorithms are tested. It is proved that algorithms based on LBP and Eigenfaces are able to provide high level of accuracy in face recognition due to the significantly high resolution of the depth map images generated by the latest version of the Kinect device. To complement this work a novel algorithm named the Dense Feature Detector is presented and is proven to be effective in face recognition using depth map images, in particular under wellilluminated conditions. Another technique that was presented for the goal of enhancing face recognition is to be able to reconstruct face images in different angles, through the use of the data of one frontal RGB image and the corresponding depth map captured by the Kinect, using faster and effective 3D object reconstruction technique. Using the Overfeat network based on Convolutional Neural Networks for feature extraction and a SVM for classification it is shown that a technically unlimited number of multiple views can be created from the proposed 3D model that consists features of the face if captured real at similar angles. Thus these images can be used as real training images, thus removing the need to capture many examples of a facial image from different viewpoints for the training of the image classifier. Thus the proposed 3D model will save significant amount of time and effort in capturing sufficient training data that is essential in recognition of the human face under variations of pose/viewpoint. The thesis argues that the same approach can also be used as a novel approach to face recognition, which promises significantly high levels of face recognition accuracy base on depth images. Finally following the recent trends in replacing traditional face recognition algorithms with the effective use of deep learning networks, the thesis investigates the use of four popular networks, VGG-16, VGG-19, VGG-S and GoogLeNet in depth maps based face recognition and proposes the effective use of Transfer Learning to enhance the performance of such Deep Learning networks.
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Guimarães, Thayso Silva. "Reconhecimento de face utilizando transformada discreta do cosseno bidimensional, análise de componentes principais bidimensional e mapas auto-organizáveis concorrentes." Universidade Federal de Uberlândia, 2010. https://repositorio.ufu.br/handle/123456789/14430.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
The identification of a person by their face is one of the most effective non-intrusive methods in biometrics, however, is also one of the greatest challenges for researchers in the area, consisting of research in psychophysics, neuroscience, engineering, pattern recognition, analysis and image processing, computer vision and applied in face recognition by humans and by machines. The algorithm proposed in this dissertation for face recognition was developed in three stages. In the first stage feature matrices are derived of faces using the Two-Dimensional Discrete Cosine Transform (2D-DCT) and Two-Dimensional Principal Component Analysis (2D-PCA). The training of the Concurrent Self-Organizing Map (Csoma) is performed in the second stage using the characteristic matrices of the faces. And finally, the third stage we obtain the feature matrix of the image consulting classifying it using the CSOM network of the second step. To check the performance of face recognition algorithm proposed in this paper were tested using three well-known image databases in the area of image processing: ORL, YaleA and Face94.
A identificação de uma pessoa pela sua face é um dos métodos não-intrusivo mais efetivo em biometria, no entanto, também é um dos maiores desafios para os pesquisadores na área; consistindo em pesquisas em psicofísica, neurociência, engenharia, reconhecimento de padrões, análise e processamento de imagens, e visão computacional aplicada no reconhecimento de faces pelos seres humanos e pelas máquinas. O algoritmo proposto nesta dissertação para reconhecimento de faces foi desenvolvido em três etapas. Na primeira etapa são obtidas as matrizes características das faces utilizando a Two-Dimensional Discrete Cosine Transform (2D-DCT) e a Two-Dimensional Principal Component Analysis (2D-PCA). O treinamento da Concurrent Self-Organizing Map (CSOM) é realizado na segunda etapa usando as matrizes características das faces. E finalmente, na terceira etapa obtém-se a matriz característica da imagem consulta classificando-a utilizando a rede CSOM da segunda etapa. Para verificar o desempenho do algoritmo de reconhecimento de faces proposto neste trabalho foram realizados testes utilizando três bancos de imagens bem conhecidos na área de processamento de imagens: ORL, YaleA e Face94.
Mestre em Ciências
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Falcão, Thiago Azevedo. "Comparação do desempenho do classificador de novidades com o classificador do vizinho mais próximo no reconhecimento facial." Universidade Federal do Amazonas, 2014. http://tede.ufam.edu.br/handle/tede/3297.

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This work proposes the new classifier for face recognition, novelty classifier, which is based on novelty filter proposed by Kohonen. In order to evaluate the new classifier performance, it is performed a comparison with nearest neighboard classifier, which uses the Euclidian distance as distance metric. ORL face database was chosen to be used in this comparison. There was not any pre-processing (photometric or geometric) on face images. It was used the following feature extraction methods: PCA, 2DPCA and (2D)2PCA. Some results in identification mode are exposed through rank 1 recognition rate and CMC curves. In verification mode, the results were presented by Correct Acceptance Rate (CAR), Equivalent Error Rate (EER), ROC curves and Area under the ROC curve (AUC). Results shown that the proposed classifier performs better than others previously published, when the 10-fold Cross Validation method is employed as a test strategy. Recognition rate of 100% is achieved with this test methodology.
Este trabalho propõe a utilização do classificador de novidades para reconhecimento de faces, o qual é baseado no filtro de novidades, proposto por Kohonen. Para avaliar o desempenho do novo classificador é feita uma comparação com o classificador do vizinho mais próximo, usando a métrica da distância euclidiana. A base de dados utilizada para essa comparação foi a base ORL. A informação da face é extraída utilizando os métodos PCA, 2DPCA e (2D)2PCA, sem usar qualquer tipo de pré-processamento (fotométrico ou geométrico). Os seguintes resultados são apresentados no modo de identificação: taxa de reconhecimento rank 1 e as curvas CMC, no modo verificação: as taxas de correta aceitação (CAR), de erro equivalente (EER), as curvas ROC e área sob a curva ROC (AUC). Os resultados obtidos mostraram que o classificador proposto tem um desempenho melhor do que o desempenho do vizinho mais próximo e do que outros classificadores anteriormente publicados usando a mesma base, quando a estratégia de validação cruzada 10-fold é usada, com essa estratégia a taxa de reconhecimento obtida foi de 100%
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Le, Boulaire Christian. "La céramique antique du Mans (Ier siècle a. C. -IIIe siècle p. C. ) : dynamique d'un faciès céramique régional." Paris 1, 2013. http://www.theses.fr/2013PA010510.

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L'étude de près de 30 000 fragments céramiques, issus de diverses fouilles archéologiques réalisées au Mans (Vindinum), chef-lieu des Cénomans, depuis ces trente dernières années, a permis, en un premier temps, de réaliser un catalogue chrono-typologique regroupant près de 350 formes céramiques, distribuées entre les trois premiers siècles de notre ère. Le matériel céramique a ensuite été mis à contribution pour questionner les pratiques sociales des populations locales, ainsi que pour identifier les réseaux de productions et d'échanges. Enfin, les ressemblances et différences de formes constatées entre les céramiques locales et les autres productions régionales ont permis d'appréhender les influences culturelles s'exerçant sur cette ville. Au-delà de la traditionnelle, mais complexe, question de la « romanisation» des Gaules, c'est à la question des identités régionales que le mobilier céramique permet d'aboutir.
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Beltrame, Monica. "Avaliação da tecnica radiografica intrabucal mais aceita pela criança na idade pre-escolar atraves de uma escala visual analogica de faces." [s.n.], 1999. http://repositorio.unicamp.br/jspui/handle/REPOSIP/289335.

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Orientador: Agenor Montebello Filho
Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Odontologia de Piracicaba
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Resumo: O presente estudo consistiu em avaliar, através de uma Escala Visual Analógica de faces, a técnica radiográfica intrabucal mais aceita pela criança na idade pré-escolar. As técnicas avaliadas foram: Bissetriz, Paralelismo e Modificada. A amostra foi composta por 72 crianças, de ambos os sexos, com idade entre 3 e 6 anos. Os resultados mostraram que a técnica da Bissetriz foi a mais aceita para a região posterior e a técnica Modificada a mais aceita para a região anterior
Abstract: Not informed.
Mestrado
Radiologia
Mestre em Ciências
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Books on the topic "Facies maps"

1

Smith, Moira T. Geologic map of the Old Copper Hill-Butcher Mountain area, Stevens County, Washington. [Olympia, Wash.]: Washington State Dept. of Natural Resources, 1991.

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Ketner, Keith Brindley. The nature and timing of tectonism in the western facies terrane of Nevada and California: An outline of evidence and interpretations derived from geologic maps of key areas. Washington: U.S. G.P.O., 1998.

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Allen, James Paul. Changing faces, changing places: Mapping Southern Californians. Northridge, Calif: Center for Geographical Studies, California State University, 2002.

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Desai, Mira K. Television in India: Many faces. Delhi: Authorspress, 2010.

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Daninos, Marie-Pierre. Paris facile: 54 promenades historiques et insolites. Paris: Hachette jeunesse, 1985.

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A, Douglass William, ed. Terror and taboo: The follies, fables, and faces of terrorism. New York: Routledge, 1996.

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Dagenais, Bernard. La crise d'octobre et les médias: Le miroir à dix faces : essai. Outremont, Qué: VLB, 1990.

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Dagenais, Bernard. La crise d'octobre et les médias: Le miroir à dix faces : essai. Outremont, Québec: VLB, 1990.

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Violette, Michèle. L' école -- facile d'en sortir mais difficile d'y revenir: Enquête auprès des décrocheurs et décrocheuses. [Québec]: Ministère de l'éducation, Direction de la recherche, 1991.

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Arab-American faces and voices: The origins of an immigrant community. Austin: University of Texas Press, 2003.

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Book chapters on the topic "Facies maps"

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Sarmiento-Rojas, Luis Fernando. "Cretaceous Stratigraphy and Paleo-Facies Maps of Northwestern South America." In Geology and Tectonics of Northwestern South America, 673–747. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-76132-9_10.

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Reijmer, John J. G., Peter K. Swart, Thorsten Bauch, Robert Otto, Lars Reuning, Sven Roth, and Susanne Zechel. "A Re-Evaluation of Facies on Great Bahama Bank I: New Facies Maps of Western Great Bahama Bank." In Perspectives in Carbonate Geology, 29–46. Chichester, West Sussex, UK: John Wiley & Sons, Ltd, 2012. http://dx.doi.org/10.1002/9781444312065.ch3.

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Fosse, Magdalena J. "Maps of the Heart: Capacity for Love." In The Many Faces of Polyamory, 35–37. Milton Park, Abingdon, Oxon ; New York, NY : Routledge, 2021.: Routledge, 2021. http://dx.doi.org/10.4324/9781315145969-2-5.

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Haken, Hermann. "Examples: Recognition of Faces and of City Maps." In Springer Series in Synergetics, 51–55. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-662-10182-7_6.

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Haken, Hermann. "Examples: Recognition of Faces and of City Maps." In Springer Series in Synergetics, 51–55. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-662-22450-2_6.

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Smith, William A. P., and Edwin R. Hancock. "Single Image Estimation of Facial Albedo Maps." In Brain, Vision, and Artificial Intelligence, 517–26. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11565123_50.

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Schenk, M., and R. Seelmann-Eggebert. "Mass Customization Facing Logistics Challenges." In Moving into Mass Customization, 41–57. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-642-56192-4_3.

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Gao, Kangkang, Shanming Yang, Keren Fu, and Peng Cheng. "Deep 3D Facial Landmark Detection on Position Maps." In Intelligence Science and Big Data Engineering. Visual Data Engineering, 299–311. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-36189-1_25.

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de la Blanca, N. Pérez, J. M. Fuertes, and M. Lucena. "3D Rigid Facial Motion Estimation from Disparity Maps." In Lecture Notes in Computer Science, 54–61. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-24586-5_6.

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Kato, Masahiro, Ikken So, Yoichi Hishinuma, Osamu Nakamura, and Toshi Minami. "Description and Synthesis of Facial Expression Based on Isodensity Maps." In Visual Computing, 39–56. Tokyo: Springer Japan, 1992. http://dx.doi.org/10.1007/978-4-431-68204-2_4.

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Conference papers on the topic "Facies maps"

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Cunha, F., P. Neff, and O. Voutay. "Using Seismic Facies Maps in Geological Models." In 67th EAGE Conference & Exhibition. European Association of Geoscientists & Engineers, 2005. http://dx.doi.org/10.3997/2214-4609-pdb.1.p036.

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Saraswat, Puneet, and Mrinal K. Sen. "Artificial immune based self organizing maps for seismic facies analysis." In SEG Technical Program Expanded Abstracts 2011. Society of Exploration Geophysicists, 2011. http://dx.doi.org/10.1190/1.3627541.

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Ray, Amit K., Rajeshwaran Dandapani, and Sumit Verma. "Seismic facies classification using Generative Topographic Mapping and Self Organizing Maps." In EAGE/AAPG Digital Subsurface for Asia Pacific Conference. European Association of Geoscientists & Engineers, 2020. http://dx.doi.org/10.3997/2214-4609.202075034.

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R. Vasheghani Farrahani, M., S. Hadiloo, H. R. Siahkoohi, and A. Edalat. "Unsupervised Seismic Facies Analysis Using Continues Wavelet Transform and Self-organizing Maps." In 71st EAGE Conference and Exhibition incorporating SPE EUROPEC 2009. European Association of Geoscientists & Engineers, 2009. http://dx.doi.org/10.3997/2214-4609.201400182.

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Ferreira Guedes, Carlos Conforti, Darci Jose Sarzenski, Renato Luiz Almeida Santos, and Flaviana Almeida Costa. "Modeling of Facies and Net-to-Gross Ratio Conditioned by Seismic Attribute Maps." In Latin American & Caribbean Petroleum Engineering Conference. Society of Petroleum Engineers, 2007. http://dx.doi.org/10.2118/107921-ms.

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Wilkerson, Oscar A., and Antun Husinec. "DRONES IN TROPICAL SHALLOW-MARINE CARBONATE STUDIES: BENTHIC HABITAT AND FACIES MAPS, JAMAICA." In GSA Annual Meeting in Phoenix, Arizona, USA - 2019. Geological Society of America, 2019. http://dx.doi.org/10.1130/abs/2019am-337022.

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Zhao, Yong, Albert Coburn Reynolds, and Gaoming Li. "Generating Facies Maps by Assimilating Production Data and Seismic Data With the Ensemble Kalman Filter." In SPE Symposium on Improved Oil Recovery. Society of Petroleum Engineers, 2008. http://dx.doi.org/10.2118/113990-ms.

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Hadiloo, S., H. Siahkoohi, A. Edalat, and R. Taherkhani. "Unsupervised Seismic Facies Analysis Using Singularity and Self-organizing Maps in Southern Pars Oil Field." In 1st International Petroleum Conference and Exhibition Shiraz 2009. Netherlands: EAGE Publications BV, 2009. http://dx.doi.org/10.3997/2214-4609.20145946.

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Rosa, E. A. "Integrating Wireline Logs and Seismic Data to Analyse The Facies snd Paleogeography of Tanjung Formation, Barito Basin, South Kalimantan." In Digital Technical Conference. Indonesian Petroleum Association, 2020. http://dx.doi.org/10.29118/ipa20-sg-112.

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The study area is physiographically part of the Barito Basin, South Kalimantan (Van Bemmelen, 1949). 2D seismic data along with well logs from three wells, biostratigraphy data from two wells, and core data are utilized to do an integrated sequence stratigraphy. Petrography data from the equivalent formation at well-X from the study area is also used to support the evaluation. This study was to determine lithology facies and depositional environment based on several key maps: Sand Shale Ratio (SSR), Isopach, and Paleogeographic Maps. After that, seismically-supported sequence stratigraphy was applied to vertically and laterally subdivide the facies distribution and paleogeography into two depositional models based on the following key sequence-stratigraphic markers: (1) Sequence Boundary (SB)-1 to SB-2 that show regressive succession, and (2) SB-2 to Top Tanjung Formation that reflects transgressive phase.
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Dasgupta, Shiv N., and Rami A. Kamal. "A rocky marriage: Carbonate reservoir quality prediction by combining 3D seismic acoustic impedance and diagenetic facies maps in Ghawar Field." In SEG Technical Program Expanded Abstracts 2004. Society of Exploration Geophysicists, 2004. http://dx.doi.org/10.1190/1.1845130.

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Reports on the topic "Facies maps"

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Wilhem, Caroline. Maps of the Callovian and Tithonian Paleogeography of the Caribbean, Atlantic, and Tethyan Realms: Facies and Environments. Geological Society of America, February 2014. http://dx.doi.org/10.1130/2014.dmch017.

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Evenchick, C. A. Bowser Basin facies and map units in Southwest Toodoggone map area, British Columbia. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1992. http://dx.doi.org/10.4095/132790.

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Pálfy, J., and K. L. Schmidt. Biostratigraphic and facies studies of the Telkwa Formation (Lower Jurassic), Smithers map area, British Columbia. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1994. http://dx.doi.org/10.4095/194094.

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Hickson, C. J., J. B. Mahoney, and P. Read. Geology of Big Bar map area, British Columbia: facies distribution in the Jackass Mountain Group. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1994. http://dx.doi.org/10.4095/193632.

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Evenchick, C. A., P. S. Mustard, J. S. Porter, and C. J. Greig. Regional Jurassic and Cretaceous facies assemblages, and structural geology in Bowser Lake map area [104A], B.C. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1992. http://dx.doi.org/10.4095/183861.

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Simpson, K. A., and J. L. Nelson. Preliminary interpretations of mid-Jurassic volcanic and sedimentary facies in the east Telegraph Creek map area. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2004. http://dx.doi.org/10.4095/214921.

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Jakobs, G. K., and J. Pálfy. Upper Triassic to Middle Jurassic biostratigraphic and facies studies in the Iskut River map area, northwestern British Columbia. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1994. http://dx.doi.org/10.4095/194093.

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Hein, F. J., and A. M. Arnott. Petrography of coarse clastic facies, Fisset Brook Formation and Horton Group (Upper Devonian-Lower Carboniferous), Lake Ainslie and Margaree map areas, Cape Breton Island, Nova Scotia. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1995. http://dx.doi.org/10.4095/205213.

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Hein, F. J. A preliminary report on the stratigraphy and petrography of coarse clastic facies, Horton Group (Upper Devonian-Lower Carboniferous), Lake Ainslie map area, Cape Breton Island, Nova Scotia. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1994. http://dx.doi.org/10.4095/194117.

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Kamminga, Jorrit, Cristina Durán, and Miguel Ángel Giner Bou. Zahra: A policewoman in Afghanistan. Oxfam, December 2020. http://dx.doi.org/10.21201/2020.6959.

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As part of Oxfam’s Strategic Partnership project ‘Towards a Worldwide Influencing Network’, the graphic story Zahra: A policewoman in Afghanistan was developed by Jorrit Kamminga, Cristina Durán and Miguel Ángel Giner Bou. The project is funded by the Ministry of Foreign Affairs of the Netherlands. The graphic story is part of a long-standing Oxfam campaign that supports the inclusion and meaningful participation of women in the Afghan police. The story portrays the struggles of a young woman from a rural village who wants to become a police officer. While a fictional character, Zahra’s story represents the aspirations and dreams of many young Afghan women who are increasingly standing up for their rights and equal opportunities, but who are still facing structural societal and institutional barriers. For young women like Zahra, there are still few role models and male champions to support their cause. Yet, as Oxfam’s project has shown, their number is growing, which contributes to small shifts in behaviour and perceptions, gradually normalizing women’s presence in the police force. If a critical mass of women within the police force can be reached and their participation increasingly becomes meaningful, this can reduce the societal and institutional resistance over time. Oxfam hopes the fictional character of Zahra can contribute to that in terms of awareness raising and the promotion of women’s participation in the police force. The story is also available on the #IMatter website.
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