Relevant bibliographies by topics / Rock image

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Rock image'

Author: Grafiati
Published: 14 March 2023
Last updated: 31 July 2025

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Journal articles on the topic "Rock image"

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Otiede, David, and Ke Jian Wu. "The Effect of Image Resolution on the Geometry and Topological Characteristics of 3-D Reconstructed Images of Reservoir Rock Samples." International Journal of Engineering Research in Africa 6 (November 2011): 37–44. http://dx.doi.org/10.4028/www.scientific.net/jera.6.37.

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The effect of image resolution on the measured geometry and topological characteristics of network models extracted from 3-D micro-computer tomography images has been investigated. The study was conducted by extracting geologically realistic networks from images of two rock samples, imaged at different resolutions. The rock samples involved were a Castlegate Sandstone and a Carbonate-28 reservoir rock. Two-dimensional images of these rocks were obtained at a magnification of ×50. The carbonate sample was studied at two different resolutions of 0.133 microns and 1.33 microns, while the sandston
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Saxena, Nishank, Ronny Hofmann, Amie Hows, et al. "Rock compressibility from microcomputed tomography images: Controls on digital rock simulations." GEOPHYSICS 84, no. 4 (2019): WA127—WA139. http://dx.doi.org/10.1190/geo2018-0499.1.

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Rock compressibility is a major control of reservoir compaction, yet only limited core measurements are available to constrain estimates. Improved analytical and computational estimates of rock compressibility of reservoir rock can improve forecasts of reservoir production performance and the geomechanical integrity of compacting reservoirs. The fast-evolving digital rock technology can potentially overcome the need for simplification of pores (e.g., ellipsoids) to estimate rock compressibility as the computations are performed on an actual pore-scale image acquired using 3D microcomputed tomo
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Nababan, Benyamin Elilaski, Eliza Veronica Zanetta, Nahdah Novia, and Handoyo Handoyo. "ESTIMASI NILAI POROSITAS DAN PERMEABILITAS DENGAN PENDEKATAN DIGITAL ROCK PHYSICS (DRP) PADA SAMPEL BATUPASIR FORMASI NGRAYONG, CEKUNGAN JAWA TIMUR BAGIAN UTARA." Jurnal Geofisika Eksplorasi 5, no. 3 (2020): 34–44. http://dx.doi.org/10.23960/jge.v5i3.34.

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Reservoir rock permeability and porosity are physical properties of rocks that control reservoir quality. Conventionally, rock porosity and permeability values are obtained from measurements in the laboratory or through well logs. At present, calculation of porosity and permeability can be calculated using digital image processing / Digital Rock Physics (DRP). Core data samples are processed by X-ray diffraction using CT-micro-tomography scan. The result is an image model of the core sample, 2D and 3D images. The combination of theoretical processing and digital images can be obtained from the
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Tawfeeq, Yahya Jirjees, and Jalal A. Al-Sudani. "Digital Rock Samples Porosity Analysis by OTSU Thresholding Technique Using MATLAB." Iraqi Journal of Chemical and Petroleum Engineering 21, no. 3 (2020): 57–66. http://dx.doi.org/10.31699/ijcpe.2020.3.8.

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Porosity plays an essential role in petroleum engineering. It controls fluid storage in aquifers, connectivity of the pore structure control fluid flow through reservoir formations. To quantify the relationships between porosity, storage, transport and rock properties, however, the pore structure must be measured and quantitatively described. Porosity estimation of digital image utilizing image processing essential for the reservoir rock analysis since the sample 2D porosity briefly described. The regular procedure utilizes the binarization process, which uses the pixel value threshold to conv
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Li, Sijia, Zhuwen Wang, and Dan Mou. "Fractal Analysis of Volcanic Rock Image Based on Difference Box-Counting Dimension and Gray-Level Co-Occurrence Matrix: A Case Study in the Liaohe Basin, China." Fractal and Fractional 9, no. 2 (2025): 99. https://doi.org/10.3390/fractalfract9020099.

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Volcanic rocks, as a widely distributed rock type on the earth, are mostly buried deep within basins, and their internal structures possess characteristics by irregularity and self-similarity. In the study of volcanic rocks, accurately identifying the lithology of volcanic rocks is significant for reservoir description and reservoir evaluation. The accuracy of lithology identification can improve the success rate of petroleum exploration and development as well as the safety of engineering construction. In this study, we took the electron microscope images of four types of volcanic rocks in th
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Chen, Yulong, and Hongwei Zhang. "An Improved C-V Model and Application to the Coal Rock Mesocrack Images." Geofluids 2020 (July 17, 2020): 1–11. http://dx.doi.org/10.1155/2020/8852209.

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In order to accurately and comprehensively obtain information about coal rock mesocrack images, image processing technique based on partial differential equation (PDE) is introduced in order to expound on the active contour model without edges and overcome the deficiency of the C-V model. The improved C-V model is adopted in order to process mesoimages of coal rocks containing single and multiple cracks and obtain high-quality binary images of coal rock mesocracks and the effective characteristic parameters of coal rock mesostructures through quantitative processing, which will lay solid found
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Guo, Chenlu, and Zhiyuan Li. "Automatic Rock Classification Algorithm Based on Ensemble Residual Network and Merged Region Extraction." Advances in Multimedia 2022 (March 20, 2022): 1–11. http://dx.doi.org/10.1155/2022/3982892.

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Lithology identification of rocks is an important part in the field of oil and gas exploration, mineral exploration, and geological analysis. How to accomplish rock classification is a key issue for the further development of the geology industry. The current main method for classifying rock pictures containing background is to select sample points or disregard the disturbance of the background. For more accurate classification, the rock part extraction method for rock images containing boundaries is designed to eliminate the influence of background. First, the rock parts are extracted based o
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Guha, A., and K. Vinod Kumar. "Potential of thermal emissivity for mapping of greenstone rocks and associated granitoids of Hutti Maski Schist belt, Karnataka." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-8 (November 28, 2014): 423–30. http://dx.doi.org/10.5194/isprsarchives-xl-8-423-2014.

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In the present study, different temperature-emissivity separation algorithms were used to derive emissivity images based on processing of ASTER( Advanced spaceborne thermal emission and reflection radiometer) thermal bands. These emissivity images have been compared with each other in terms of geological information for mapping of major rock types in Hutti Maski schist Belt and its associated granitoids. Thermal emissivity images are analyzed conjugately with thermal radiance image, radiant temperature image and albedo image of ASTER bands to understand the potential of thermal emissivity in d
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Arindi, Cindi Claudia, Syahrun Syahrun, and Arie Toursino Hadi. "IDENTIFICATION OF DAMAGE TO ROCK ART AT THE SITE OF LA KOLUMBU CAVE, LIANGKABORI VILLAGE, LOHIA DISTRICT, MUNA REGENCY." SANGIA JOURNAL OF ARCHAEOLOGY RESEARCH 8, no. 2 (2025): 106–20. https://doi.org/10.33772/sangia.v8i2.2339.

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The Lakolumbu Cave site is one of the caves that has rock drawings. The site is in Liangkabori Village, Lohia District, Muna Regency, Southeast Sulawesi Province. This study aims to determine the image motifs and factors that cause damage to rock images at the Lakolumbu Cave Site. Then the methods used in this study were data collection, data recording and data processing using ImageJ software to lift images clearer and using CorelDraw X7 Software to reproduce rock images. Based on the results of the research conducted, the Lakolumbu Cave Site has 8 panels with a total of 60 rock images that h
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Schneider, Marc H., Patrick Tabeling, Fadhel Rezgui, Martin G. Lüling, and Aurelien Daynes. "Novel microscopic imager instrument for rock and fluid imaging." GEOPHYSICS 74, no. 6 (2009): E251—E262. http://dx.doi.org/10.1190/1.3261801.

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Core analysis from reservoir rock plays an important role in oil and gas exploration as it can provide a large number of rock properties. Some of these rock properties can be extracted by image analysis of microscopic rock images in the visible light range. Such properties include the size, shape, and distribution of pores and grains, or more generally the texture, mineral distribution, and so on. A novel laboratory instrument and method allows for easy and reliable core imaging. This method is applicable even when the core sample is in poor shape. The capabilities of this technique can be ver
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Dissertations / Theses on the topic "Rock image"

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Lindström, Håkan. "Rock property measurements using image processing." Thesis, KTH, Mark- och vattenteknik, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-99338.

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Shape and size of rocks are important physical characteristics of aggregates used in engineering and for interpretation of the genesis of naturally occurring sediment. Several image processing programs are available for measure the size and shape of various types of objects. The accuracy and reproducibility of results of a new imaging method and new matlab based 3D imaging program has been studied. 3D results are obtained by coupling two images of particles one of their largest and one of the smallest projected areas. The accuracy of results depends on the focal length used for imaging as well
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Djouama, Mohamed Cherif. "Assessment of rock cutting and rock fragmentation by blasting using image analysis." Thesis, University of Nottingham, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.278384.

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Bedair, Ayman. "Digital image analysis of rock fragmentation from blasting." Thesis, McGill University, 1996. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=40319.

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A novel digital image analysis technique to measure the size of fragments on the surface of a muck-pile is presented in this thesis. The technique takes into consideration the physical characteristics of fragment representation and measurement problems. Using an adaptive smoothing filter prior to edge detection, each fragment on the surface is represented by a group of edge segments outlining its boundaries. These segments are then grouped to form continuous contours.<br>A multi-layer analysis of the digital image is then formulated where fragments on the surface are grouped into three layers,
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Devgan, Ashutosh 1968. "Analysis of rock fragmentation using digital image processing." Thesis, The University of Arizona, 1992. http://hdl.handle.net/10150/278195.

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The success of rock fragmentation due to blasting depends on many variables, such as rock properties, in-situ fracturing, and blast design. Traditionally, the size distribution of fragmented rock particles has been determined through screen sieving. Modern techniques using video images and computer image processing techniques have the potential for analyzing rock fragmentation accurately and efficiently. A procedure has been developed for analyzing rock fragmentation which uses a high-resolution video camera for capturing images in the field, and specialized computer algorithms for processing
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Sharafisafa, Mansour. "Characterization of quasi-static and dynamic fracture behaviour of rock-like materials using digital image correlation." Thesis, The University of Sydney, 2019. https://hdl.handle.net/2123/24320.

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Rock masses contain geological features which play key role in failure mechanism. Amongst these features are flaws, layers, joints, faults, etc. In this thesis digital image correlation (DIC) is utilized to study crack development behaviour of rock-like materials containing different geological features. 3D printing specimens having pre-existing flaws, layered and bimrock specimens are studied under quasistatic and dynamic impact loadings. Both unfilled and filled flaws are studied in 3D printed specimens. Based on the static testing, it is observed that the flaws configuration have significan
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Gamboa, Erwin. "Stress corrosion cracking of rock bolts /." [St. Lucia, Qld.], 2004. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe18302.pdf.

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Mawdesley, Clare A. "Predicting rock mass cavability in block caving mines /." St. Lucia, Qld, 2002. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe16404.pdf.

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Dahle, Benjamin P. "Evaluating Shallow-Flow Rock Structures as Scour Countermeasures at Bridges." Diss., CLICK HERE for online access, 2008. http://contentdm.lib.byu.edu/ETD/image/etd2544.pdf.

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Banini, George Agbeko. "An integrated description of rock breakage in comminution machines /." [St. Lucia], 2000. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe16293.pdf.

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Ryskamp, Elizabeth Balls. "Petrogenesis of Eocene-Oligocene magmatism of the Sulphur Springs Range, central Nevada: The role of magma mixing." Diss., CLICK HERE for online access, 2006. http://contentdm.lib.byu.edu/ETD/image/etd1607.pdf.

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Books on the topic "Rock image"

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Doss, Erika Lee. Elvis culture: Fans, faith, & image. University Press of Kansas, 1999.

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Ray, Schweighardt, ed. Drugs, divorce, and a slipping image: The unauthorized story of the Beatles' "Get back" sessions. The 910, 1994.

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François-Xavier, Fauvelle-Aymar, and Bon François 1970-, eds. Vols de vaches à Christol Cave: Histoire critique d'une image rupestre d'Afrique du Sud. Presses de l'université Paris-Sorbonne, 2009.

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Reilly, Edward. The Monkees: A manufactured image : the ultimate reference guide to Monkee memories & memorabilia. Popular Culture Ink., 1987.

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Menz, Joachim. Automatisierte fotografische Haufwerkanalyse. Deutscher Verlag für Grundstoffindustrie, 1987.

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Maggie, McManus, and Chadwick William 1942-, eds. The Monkees: A manufactured image : the ultimate reference guide to Monkee memories & memorabilia. Pierian Press, 1987.

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Mosco, Maisie. Images. Charnwood, 1987.

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Kaufman, Lance. Egyptian images in Arizona Red Rock. Image Formation Pub., 2006.

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Fred, Woodward, and DeCurtis Anthony, eds. Rolling Stone images of rock & roll. Little, Brown, 1995.

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Slifer, Dennis. Kokopelli: Fluteplayer images in rock art. Ancient City Press, 1994.

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Book chapters on the topic "Rock image"

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Quinlan, Catherine L. "African Rock Art Image Analysis." In Black Representation in the Science Curriculum. Routledge, 2024. http://dx.doi.org/10.4324/9781003475354-15.

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Lepistö, Leena, Iivari Kunttu, and Ari Visa. "Color-Based Classification of Natural Rock Images Using Classifier Combinations." In Image Analysis. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11499145_91.

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Wang, Weixing, and Eva Hakami. "A Segmentation Algorithm for Rock Fracture Detection." In Pattern Recognition and Image Analysis. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11552499_64.

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Habrat, Magdalena, and Mariusz Młynarczuk. "Granulation-Based Reverse Image Retrieval for Microscopic Rock Images." In Lecture Notes in Computer Science. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-50420-5_6.

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Paclík, P., S. Verzakov, and R. P. W. Duin. "Improving the Maximum-Likelihood Co-occurrence Classifier: A Study on Classification of Inhomogeneous Rock Images." In Image Analysis. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11499145_101.

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Jiqun, Zhang, Hu Chungjin, Liu Xin, He Dongmei, and Li Hua. "An Algorithm for Rock Pore Image Segmentation." In Lecture Notes in Electrical Engineering. Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-46578-3_28.

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Seo, W., and T. S. Yun. "Deep learning for microscopic rock image classification." In Smart Geotechnics for Smart Societies. CRC Press, 2023. http://dx.doi.org/10.1201/9781003299127-122.

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Urbach, Erik R., Marina Pervukhina, and Leanne Bischof. "Segmentation of Cracks in Shale Rock." In Mathematical Morphology and Its Applications to Image and Signal Processing. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21569-8_39.

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Chen, Jiangong, and Diming Lou. "Numerical Analysis of Soil-Rock Mixture Subgrade Based on High Density Resistivity Surveys." In Lecture Notes in Civil Engineering. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-4090-1_25.

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AbstractA new method to obtain the distribution of rock stone in RSM subgrade by high density resistivity surveys is proposed. Using image processing technology, the true resistivity image could be transformed to a vector format which can imported into finite element software. The finite models of RSM subgrade are established based on the vector image. The RSM subgrade bearing capacity and differential settlement under foundation’s load are analyzed. Numerical analysis result shows that the bearing capacity of RSM subgrade is bigger than the soil subgrade. The differential settlement is effect
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Sun, Jiping, and Bo Su. "Coal−Rock Interface Detection Using Digital Image Analysis Technique." In Electrical, Information Engineering and Mechatronics 2011. Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-2467-2_144.

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Conference papers on the topic "Rock image"

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Zang, Hu, Rongze Wu, Yongli Wang, Yan Qiu, Rui Bao, and Zhenzhu Zhang. "RockNet for Classification of Rock Slice Image." In 2025 6th International Conference on Computer Vision, Image and Deep Learning (CVIDL). IEEE, 2025. https://doi.org/10.1109/cvidl65390.2025.11086081.

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Zhang, Huili, Ling Zhao, Maokun Zeng, and Lin Tang. "Application of ResUNet-CBAM in Rock Sheet Image Segmentation." In 2024 6th International Conference on Communications, Information System and Computer Engineering (CISCE). IEEE, 2024. http://dx.doi.org/10.1109/cisce62493.2024.10652608.

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Ganchimeg, Ganbold, Mengbo You, Kouichi Konno, and Bataa Otgonbayar. "Restoration of Taikhar Rock Painting with Color Image Processing." In 2024 International Conference on Cyberworlds (CW). IEEE, 2024. https://doi.org/10.1109/cw64301.2024.00061.

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Yu, Zhiao, Hui Lan, Jinshan Sun, Xue Wei, and Haoyuan Lv. "Rock image recognition method based on ECAResNet50 transfer learning." In 2025 4th International Symposium on Computer Applications and Information Technology (ISCAIT). IEEE, 2025. https://doi.org/10.1109/iscait64916.2025.11010463.

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Varnasuthan, S., W. T. M. Fernando, D. S. Dahanayaka, A. B. N. Dassanayake, M. A. D. M. G. Wickrama, and I. M. T. N. Illankoon. "Image analysis approach to determine the porosity of rocks." In International Symposium on Earth Resources Management & Environment - ISERME 2023. Department of Earth Resources Engineering, 2023. http://dx.doi.org/10.31705/iserme.2023.7.

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Accurate characterisation of rock porosity is essential for assessing its strength and durability. This study explores both conventional and image analysis methods for determining rock porosity of two types of rocks, Bibai sandstone, a hard clastic rock and limestone, a soft rock. Conventional methods for determining rock porosity involve physical measurements and laboratory analysis, while image analysis methods utilize advanced imaging techniques such as CT scans or SEM to assess porosity based on visual information extracted from rock images. While various image analysis approaches exist to
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Kumar Shahi, Anup, Anil Kumar, Kumar Hemant Singh, and Ranjith Pathegama Gamage. "Improved Upscaling Methods for Carbonate Rock Image Data." In 56th U.S. Rock Mechanics/Geomechanics Symposium. ARMA, 2022. http://dx.doi.org/10.56952/arma-2022-2204.

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ABSTRACT Volumetric image data of rocks often need sophisticated image processing steps in any rock physics and petrophysics workflow. While the segmentation is highly dependent on the quality of data, a trade-off between resolution and field of view is inevitable. This work attempts to resolve this using multiple-point statistics that have long been used for generating synthetic images, though mostly applied to sandstone rocks where the heterogeneity is significantly less than that of carbonates. These algorithms work by sequentially populating a grid to emulate the observed image. However, f
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Wang, Z., X. Z. Song, Z. Li, et al. "A Data Augmentation Method of Variable Density Logging Image Based on GAN." In 57th U.S. Rock Mechanics/Geomechanics Symposium. ARMA, 2023. http://dx.doi.org/10.56952/arma-2023-0112.

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ABSTRACT In recent years, with the development of artificial intelligence technology, cementing quality evaluation models based on supervised learning algorithms have been gradually proposed and applied. These models automatically evaluate cementing quality by identifying variable density logging images. However, due to the uneven number of training samples (variable density logging images), the accuracy of automatic evaluation models is low, to solve this problem, this paper proposes a Wasserstein distance generation countermeasure network (VDL-WGAN) for variable density well logging images.
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Tanaka, S., and S. Nakashima. "Observation of Brazilian Tensile Failure of Rock Simulant by Digital Image Correlation Method." In 57th U.S. Rock Mechanics/Geomechanics Symposium. ARMA, 2023. http://dx.doi.org/10.56952/arma-2023-0568.

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ABSTRACT The purpose of this study was to investigate the applicability of the digital image correlation method, which uses image processing to obtain areal strain distributions, for the observation of rock fractures. In the results of the Brazilian tensile test, the strain increase process just prior to crack initiation was captured when the images were taken at 8,000 fps. The tensile testing of a rubber sheet coated with irregular spots confirmed that the accuracy of the analysis was sufficient, indicating that digital image correlation can be applied for the observation of crack propagation
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Sahu, Pallavi, Zoya Heidari, Gabriel Feres Nassau, Plinio Cancio Rocha da Silva, and Willian Tevizan. "Assessing the Impact of Image Data on Enhancing Rock Typing and Formation Evaluation." In 2024 SPWLA 65th Annual Symposium. Society of Petrophysicists and Well Log Analysts, 2024. https://doi.org/10.30632/spwla-2024-0065.

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Reliable rock classification is important for estimating petrophysical properties and making informed production decisions. High-resolution image data (e.g., image logs, core photos, and CT-scan images) can enhance rock classification by incorporating rock fabric (i.e., spatial variation of rock components) information. The additional value that image data contributes to enhancing formation evaluation is essential to assess for making informed decisions on acquiring expensive image data. Recently developed methods have been proven successful for image-based rock classification, mainly in silic
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Sahu, Pallavi Sahu, and Zoya Heidari. "Assessment of Petrophysical Heterogeneity Based on Image Data." In 2024 SPWLA 65th Annual Symposium. Society of Petrophysicists and Well Log Analysts, 2024. https://doi.org/10.30632/spwla-2024-0058.

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Formation heterogeneity that broadly defines the spatial variations in rock properties has long been recognized as an important factor for the reliable assessment of petrophysical properties and their variation in subsurface rocks. Conventional methods to quantify formation heterogeneity depend on visual inspection of core samples or statistically derived well-log-based coefficients. These coefficients represent heterogeneity in a data set by a single value and overlook discontinuity in petrophysical properties. To fully understand the depth-by-depth variability in petrophysical properties, it
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Reports on the topic "Rock image"

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Huang, Haohang, Jiayi Luo, Kelin Ding, Erol Tutumluer, John Hart, and Issam Qamhia. I-RIPRAP 3D Image Analysis Software: User Manual. Illinois Center for Transportation, 2023. http://dx.doi.org/10.36501/0197-9191/23-008.

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Riprap rock and aggregates are commonly used in various engineering applications such as structural, transportation, geotechnical, and hydraulic engineering. To ensure the quality of the aggregate materials selected for these applications, it is important to determine their morphological properties such as size and shape. There have been many imaging approaches developed to characterize the size and shape of individual aggregates, but obtaining 3D characterization of aggregates in stockpiles at production or construction sites can be a challenging task. This research study introduces a new app
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Hofmann, Peter, Robert Marschallinger, Michael Unterwurzacher, and Fritz Zobl. Designation of marble provenance: State-of-the-art rock fabric characterization in thin sections by object based image analysis. Cogeo@oeaw-giscience, 2011. http://dx.doi.org/10.5242/iamg.2011.0284.

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Huang, Haohang, Erol Tutumluer, Jiayi Luo, Kelin Ding, Issam Qamhia, and John Hart. 3D Image Analysis Using Deep Learning for Size and Shape Characterization of Stockpile Riprap Aggregates—Phase 2. Illinois Center for Transportation, 2022. http://dx.doi.org/10.36501/0197-9191/22-017.

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Riprap rock and aggregates are extensively used in structural, transportation, geotechnical, and hydraulic engineering applications. Field determination of morphological properties of aggregates such as size and shape can greatly facilitate the quality assurance/quality control (QA/QC) process for proper aggregate material selection and engineering use. Many aggregate imaging approaches have been developed to characterize the size and morphology of individual aggregates by computer vision. However, 3D field characterization of aggregate particle morphology is challenging both during the quarry
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Gantzer, Clark J., Shmuel Assouline, and Stephen H. Anderson. Synchrotron CMT-measured soil physical properties influenced by soil compaction. United States Department of Agriculture, 2006. http://dx.doi.org/10.32747/2006.7587242.bard.

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Methods to quantify soil conditions of pore connectivity, tortuosity, and pore size as altered by compaction were done. Air-dry soil cores were scanned at the GeoSoilEnviroCARS sector at the Advanced Photon Source for x-ray computed microtomography of the Argonne facility. Data was collected on the APS bending magnet Sector 13. Soil sample cores 5- by 5-mm were studied. Skeletonization algorithms in the 3DMA-Rock software of Lindquist et al. were used to extract pore structure. We have numerically investigated the spatial distribution for 6 geometrical characteristics of the pore structure of
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Ansari, S. M., E. M. Schetselaar, and J. A. Craven. Three-dimensional magnetotelluric modelling of the Lalor volcanogenic massive-sulfide deposit, Manitoba. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/328003.

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Unconstrained magnetotelluric inversion commonly produces insufficient inherent resolution to image ore-system fluid pathways that were structurally thinned during post-emplacement tectonic activity. To improve the resolution in these complex environments, we synthesized the 3-D magnetotelluric (MT) response for geologically realistic models using a finite-element-based forward-modelling tool with unstructured meshes and applied it to the Lalor volcanogenic massive-sulfide deposit in the Snow Lake mining camp, Manitoba. This new tool is based on mapping interpolated or simulated resistivity va
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Durling, P. W. Seismic expression of the Codroy Group in the St. George's Bay lowlands, Newfoundland and Labrador. Natural Resources Canada/CMSS/Information Management, 2023. http://dx.doi.org/10.4095/332153.

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A composite stratigraphic section of the Codroy Group in the St. George's Bay lowlands was assembled from published stratigraphic sections and borehole data, in concert with published biostratigraphic data. The relative placement of stratigraphic sections in the composite section was guided by a form line contour map, which was constructed using bedding attitudes compiled from published geological maps. The composite section comprises a thick (~1000m), evaporite dominated, lower interval; a medial interval characterised by clastic, carbonate and evaporite rocks; and an upper clastic dominated
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Hammouti, A., S. Larmagnat, C. Rivard, and D. Pham Van Bang. Use of CT-scan images to build geomaterial 3D pore network representation in preparation for numerical simulations of fluid flow and heat transfer, Quebec. Natural Resources Canada/CMSS/Information Management, 2023. http://dx.doi.org/10.4095/331502.

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Non-intrusive techniques such as medical CT-Scan or micro-CT allow the definition of 3D connected pore networks in porous materials, such as sedimentary rocks or concrete. The definition of these networks is a key step towards the evaluation of fluid flow and heat transfer in energy resource (e.g., hydrocarbon and geothermal reservoirs) and CO2 sequestration research projects. As material heterogeneities play a role at all scales (from micro- to project-scale), numerical models represent a powerful tool for bridging the gap between small-scale measurements provided by X-ray imaging techniques
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Thapa, Bhaskar Bahadur. Analysis of in-situ rock joint strength using digital borehole scanner images. Office of Scientific and Technical Information (OSTI), 1994. http://dx.doi.org/10.2172/10107663.

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Chriscoe, Mackenzie, Rowan Lockwood, Justin Tweet, and Vincent Santucci. Colonial National Historical Park: Paleontological resource inventory (public version). National Park Service, 2022. http://dx.doi.org/10.36967/nrr-2291851.

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Colonial National Historical Park (COLO) in eastern Virginia was established for its historical significance, but significant paleontological resources are also found within its boundaries. The bluffs around Yorktown are composed of sedimentary rocks and deposits of the Yorktown Formation, a marine unit deposited approximately 4.9 to 2.8 million years ago. When the Yorktown Formation was being deposited, the shallow seas were populated by many species of invertebrates, vertebrates, and micro-organisms which have left body fossils and trace fossils behind. Corals, bryozoans, bivalves, gastropod
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Wu, Jin Chu, Alvin F. Martin, and Raghu Kacker. Hypothesis test of fingerprint-image matching algorithms in operational ROC analysis. National Institute of Standards and Technology, 2009. http://dx.doi.org/10.6028/nist.ir.7586.

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