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Journal articles on the topic 'Facies (Geology)'

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1

Bronto, Sutikno. "Fasies gunung api dan aplikasinya." Indonesian Journal on Geoscience 1, no. 2 (2006): 59–71. http://dx.doi.org/10.17014/ijog.1.2.59-71.

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http://dx.doi.org/10.17014/ijog.vol1no2.20061Based on the nature and rock association, a composite volcanic cone can be divided into central facies, proximal facies, medial facies and distal facies. Physiographically, those begin from central eruption at the summit, going down to upper slope, lower slope, and foot plain in the surrounding area. Central facies is characterized by the presence of subvolcanic intrusions, lava domes, and hydrothermally altered rocks. Proximal facies consists of alternating lava fl ows and pyroclastic breccias. Medial fasies mainly is composed of pyroclastic brecci
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2

Liu, Wei Fu, Shuang Long Liu, and Hong Ying Han. "Depositional Model and Development Significance of Clastic Reservoir." Applied Mechanics and Materials 522-524 (February 2014): 1245–48. http://dx.doi.org/10.4028/www.scientific.net/amm.522-524.1245.

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A general geologic sedimentation model for reservoir is made by carefully analyzing the inberent essence of depositional environmentand for clastic rocks of lake basin. The basic model in the streaming environment is composed of two basic facies units: one is the waterway facie and the other is non-waterway facie. The principal characteristics of developing geology and sedimentology have been outlined. It can be commonly used in developing under-producted reserves and raising recovery ratio in the highly developed oil fields.
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3

Schenk, C. J. "Facies models." Journal of Sedimentary Research 55, no. 3 (1985): 448–0. http://dx.doi.org/10.2110/jsr.55.448.

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4

Pendrel, John, and Henk Schouten. "Facies — The drivers for modern inversions." Leading Edge 39, no. 2 (2020): 102–9. http://dx.doi.org/10.1190/tle39020102.1.

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It is common practice to make facies estimations from the outcomes of seismic inversions and their derivatives. Bayesian analysis methods are a popular approach to this. Facies are important indicators of hydrocarbon deposition and geologic processes. They are critical to geoscientists and engineers. The application of Bayes’ rule maps prior probabilities to posterior probabilities when given new evidence from observations. Per-facies elastic probability density functions (ePDFs) are constructed from elastic-log and rock-physics model crossplots, over which inversion results are superimposed.
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5

Postma, George. "The geology of fluvial deposits, sedimentary facies, basin analysis and petroleum geology." Sedimentary Geology 110, no. 1-2 (1997): 149–50. http://dx.doi.org/10.1016/s0037-0738(96)00081-4.

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6

Yang, Xiuwei, and Peimin Zhu. "Reservoir Prediction Under Control of Sedimentary Facies." Journal of Computational Acoustics 25, no. 03 (2017): 1750022. http://dx.doi.org/10.1142/s0218396x17500229.

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Acoustic impedance (AI) from seismic inversion can indicate rock properties and can be used, when combined with rock physics, to predict reservoir parameters, such as porosity. Solutions to seismic inversion problem are almost nonunique due to the limited bandwidth of seismic data. Additional constraints from well log data and geology are needed to arrive at a reasonable solution. In this paper, sedimentary facies is used to reduce the uncertainty in inversion and rock physics modeling; the results not only agree with seismic data, but also conform to geology. A reservoir prediction method, wh
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7

Zhabin, A. G. "CONTRASTING FACIES ORE AGGREGATES." International Geology Review 27, no. 1 (1985): 45–60. http://dx.doi.org/10.1080/00206818509466389.

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8

Chamley, Hervé. "Green marine Clays. Oolitic ironstone facies, verdine facies, glaucony facies and celedonite-bearing rock facies — a comparative study." Marine Geology 91, no. 1-2 (1990): 156–57. http://dx.doi.org/10.1016/0025-3227(90)90140-f.

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9

Anderton, R. "Clastic facies models and facies analysis." Geological Society, London, Special Publications 18, no. 1 (1985): 31–47. http://dx.doi.org/10.1144/gsl.sp.1985.018.01.03.

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10

Côrtes, Ariane Raissa Pinheiro, and José Alexandre De Jesus Perinotto. "Facies and facies association of Piramboia Formation in the region of Descalvado (SP)." Geologia USP. Série Científica 15, no. 3-4 (2015): 23. http://dx.doi.org/10.11606/issn.2316-9095.v15i3-4p23-40.

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A Formação Piramboia é uma unidade litoestratigráfica da Bacia do Paraná que tem sido alvo de diversos estudos em razão de sua grande importância como componente primordial no Sistema Aquífero Guarani e no sistema petrolífero Irati-Piramboia, atuando como excelente rocha-reservatório. Historicamente, essa unidade tem sido alvo de diversas controvérsias quanto à idade, relações de contato com as unidades sotoposta e sobreposta e paleoambiente deposicional. Entretanto, é comumente considerada de idade triássica e produto da deposição em sistemas eólicos úmidos, com abundância de interdunas úmida
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11

Sola, Fernando, Juan C. Braga, and Gunnar Sælen. "Contradictory coeval vertical facies changes in upper Miocene heterozoan carbonate–terrigenous deposits (Sierra de Gádor, Almería, SE Spain)." Journal of Sedimentary Research 92, no. 3 (2022): 257–74. http://dx.doi.org/10.2110/jsr.2022.010.

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ABSTRACT While spatial facies patterns can be observed in modern systems, only vertical facies successions can usually be examined in ancient deposits. Lateral facies relationships (depositional models) and relative sea-level changes throughout time are traditionally deduced from correlation of vertical facies successions along transects perpendicular to inferred paleo-shorelines. Establishing vertical facies successions and their corresponding time-equivalent proximal to distal facies patterns are, therefore, paramount in reconstructing ancient carbonate depositional systems and their respons
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12

Meng, Ning Ning, Guang Xue Zhang, Gao Qun Wei, and Xin Lv. "Study on Three-Dimensional Geological Modeling of Reservoir in Hei46 Block." Advanced Materials Research 1073-1076 (December 2014): 2349–52. http://dx.doi.org/10.4028/www.scientific.net/amr.1073-1076.2349.

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Three dimensional (3D) geologic modeling is used to study the reservoir quantitatively from a three-dimensional angle, and its core is the prediction to reservoir of multi-disciplinary integration, quantitative and visualization. Compared with traditional reservoir research, it has a significant advantage. This paper makes geological modeling research and builds structural models sedimentary micro-facies models and phased property model for Hei46 block of Daqingzi oilfield by utilizing 3D geologic modeling technique and petrel software on the basis of integrated using of geology, logging, oil
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13

Kirk, M. "Westphalian alluvial plain sedimentation, Isle of Arran, Scotland." Geological Magazine 126, no. 4 (1989): 407–21. http://dx.doi.org/10.1017/s0016756800006592.

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AbstractFacies analysis suggests that Westphalian (Upper Carboniferous) Coal Measure sequences on the Isle of Arran, Scotland, were deposited in a proximal alluvial plain environment close to the basin margin. Detailed examination of well exposed coastal sections has revealed the existence of six laterally and vertically interrelated sedimentary facies. Facies 1 to 3 are interpreted as fluvial channel deposits. Low sinuosity multistorey (facies 1), low sinuosity vertically accreted (facies 2), and rare high sinuosity laterally accreted channel deposits (facies 3) are developed. Associated over
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14

He, Qing Kun, and Chang Ying Shi. "Application of Electron Probe Microanalyzer (EPMA) to Depositional Environment Identification of Sedimentary Rock." Advanced Materials Research 881-883 (January 2014): 1795–98. http://dx.doi.org/10.4028/www.scientific.net/amr.881-883.1795.

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s: Electron microprobe technology is widely used to component analysis of metals, minerals and geology. Elements of sedimentary rock including B, Ga, Ba, Sr, Co, V, Cr, Mn, Fe, Ni were analyzed by EPMA respectively. It was discussed that marine faces and continental facies, oxidation environment and reducing environment, the depth of water and salinity influence on sedimentary rock, respectively. Then the influence of marine faces, continental faces, oxidation environment, reducing environment and the depth of water and salinity on sedimentary rock was discussed respectively. The results show
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15

Turki, Farah, and Salih Awadh. "Discrimination Reef and Non-Reef Environments, Using REE Geochemistry." Iraqi Geological Journal 56, no. 1A (2023): 1–11. http://dx.doi.org/10.46717/igj.56.1a.1ms-2023-1-13.

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This research aims to distinguish the reef environment from the non-reef environment. The Oligocene-Miocene-succussion in western Iraq was selected as a case study, represented by the reefal limestone facies of the Anah Formation (Late Oligocene) deposited in reef-back reef environments, dolomitic limestone of the Euphrates Formation (Early Miocene) deposited in open sea environments, and gypsiferous marly limestone of the Fatha Formation (Middle Miocene) deposited in a lagoonal environment. The content of the rare earth elements (REEs) (La, Ce, Pr, Nd, Sm, Eu, Gd, Tb, Dy, Er, Ho, Tm, Yb, Lu,
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16

Yu, Jiang Tao, Jin Liang Zhang, and Shuang Yan Chen. "Application of Three-Dimensional Fine Geological Modeling in Complex Fault-Block Reservoir with Low Permeability." Applied Mechanics and Materials 511-512 (February 2014): 779–82. http://dx.doi.org/10.4028/www.scientific.net/amm.511-512.779.

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Three dimensional geologic modeling is a powerful tool for reservoir development stages of geological study, it can solves many traditional problems existing in geological research through the establishment of precise three dimensional geologic modeling and represents an important direction for the further development of oilfield geological research. Low permeability and thin interbed reservoir of complex fault block have the characteristics of severe heterogeneity, complex relations of oil-water distribution, poor development effect, it is necessary to built high precision three dimensional g
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17

Reading, Harold G. "Clastic facies models, a personal perspective." Bulletin of the Geological Society of Denmark 48 (December 31, 2001): 101–15. http://dx.doi.org/10.37570/bgsd-2001-48-05.

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Facies models evolved from classifications that were mainly descriptive, based on observable, measureable features such as the composition and texture of sedimentary rocks. As our understanding of sedimentary processes expanded, genetic facies models were developed based on the inferred process of formation. Since individual facies cannot be interpreted in isolation, they must be studied with reference to their neighbours, emphasizing the association of facies and sequences, in particular those that coarsen and fine upward. Environmental facies models are based on the interaction of studies on
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18

Kirk, Rob. "Seismic Facies Mapping-Getting More Geology into Your Play." ASEG Extended Abstracts 2016, no. 1 (2016): 1–8. http://dx.doi.org/10.1071/aseg2016ab117.

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19

Sengor, A. M. C. "The Geology of Switzerland--An Introduction to Tectonic Facies." American Journal of Science 301, no. 6 (2001): 593–96. http://dx.doi.org/10.2475/ajs.301.6.593.

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20

Hardy, Mark. "The geology of Switzerland: An introduction to Tectonic Facies." Journal of Structural Geology 18, no. 4 (1996): 529–30. http://dx.doi.org/10.1016/s0191-8141(96)80004-6.

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21

Barnicoat, Andrew. "The geology of Switzerland. An introduction to tectonic facies." Endeavour 20, no. 1 (1996): 45. http://dx.doi.org/10.1016/s0160-9327(96)90091-5.

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22

MATTAUER, M., and P. MATTE. "The geology of Switzerland. An introduction to tectonic facies." Earth-Science Reviews 40, no. 3-4 (1996): 297–98. http://dx.doi.org/10.1016/0012-8252(95)00062-3.

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23

Crook, Keith A. W. "Sedimentary environments and facies." Sedimentary Geology 58, no. 1 (1988): 95. http://dx.doi.org/10.1016/0037-0738(88)90008-5.

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24

Hall, Brendon. "Facies classification using machine learning." Leading Edge 35, no. 10 (2016): 906–9. http://dx.doi.org/10.1190/tle35100906.1.

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There has been much excitement recently about big data and the dire need for data scientists who possess the ability to extract meaning from it. Geoscientists, meanwhile, have been doing science with voluminous data for years, without needing to brag about how big it is. But now that large, complex data sets are widely available, there has been a proliferation of tools and techniques for analyzing them. Many free and open-source packages now exist that provide powerful additions to the geoscientist's toolbox, much of which used to be only available in proprietary (and expensive) software platf
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25

Norris, G. "Palynology and British Purbeck facies." Geological Magazine 122, no. 2 (1985): 187–90. http://dx.doi.org/10.1017/s0016756800031101.

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26

Walker, R. G. "Facies modeling and sequence stratigraphy." Journal of Sedimentary Research 60, no. 5 (1990): 777–86. http://dx.doi.org/10.1306/212f926e-2b24-11d7-8648000102c1865d.

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27

Ponsot-Jacquin, Catherine, Frédéric Roggero, and Guillaume Enchery. "Calibration of facies proportions through a history-matching process." Bulletin de la Société Géologique de France 180, no. 5 (2009): 387–97. http://dx.doi.org/10.2113/gssgfbull.180.5.387.

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Abstract The facies-proportion calibration method is a new history-matching technique, which modifies facies proportions within a fine geological – geostatistical model until a good match of the field data is reached. The initial facies proportions in the model are usually locally constrained by well data, for example, but their spatial tendencies may be unreliable in some parts of the reservoir. The algorithm presented in this paper introduces average proportion ratios between facies groups in order to calculate new facies proportions while taking into account their initial values. It can be
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28

Pye, K., and D. H. Krinsley. "Microfabric, mineralogy and early diagenetic history of the Whitby Mudstone Formation (Toarcian), Cleveland Basin, U.K." Geological Magazine 123, no. 3 (1986): 191–203. http://dx.doi.org/10.1017/s0016756800034695.

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AbstractThe Whitby Mudstone Formation in northeast England contains three shale facies (normal, restricted and bituminous) which have previously been differentiated on the basis of sedimentary structures and faunal assemblages. This paper shows that the three facies can also be differentiated by mineralogical, geochemical and microtextural criteria determined using BSEM, EDXRA, XRD and XRF. The bituminous shale facies consists of finely laminated shales containing an early diagenetic mineral assemblage dominated by pyrite, calcite and dolomite. The weakly laminated restricted facies shales con
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29

Wang, Wenguang, Chengyan Lin, Xianguo Zhang, Chunmei Dong, Lihua Ren, and Jianli Lin. "Diagenesis, Diagenetic Facies and Their Relationship with Reservoir Sweet Spot in Low-Permeability and Tight Sandstone: Jiaxing Area of the Xihu Sag, East China Sea Basin." Minerals 13, no. 3 (2023): 404. http://dx.doi.org/10.3390/min13030404.

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The optimization of reservoir sweet spots is the key to the efficient exploration and development of low-permeability and tight sandstone gas reservoirs. However, offshore deep, low-permeability and tight sandstone has the characteristics of large burial depth, large diagenesis heterogeneity and prominent importance of diagenetic facies, which make it difficult to predict reservoir sweet spots. This work comprehensively used logging data, core observation, conventional core analysis, thin section, powder particle size analysis, clay X-ray diffraction analysis, cathode luminescence analysis, sc
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30

Finch, T. "The Lithological Characteristics of the Glacial Deposits of County Longford." Irish Geography 23, no. 1 (2016): 38–42. http://dx.doi.org/10.55650/igj.1990.607.

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A preliminary examination of the glacial geology of Co. Longford is presented. Four lithologically distinct facies of diamicton and three associated glaciofluvial members are examined in terms of their petrographic composition. The units are then interpreted with reference to direction of ice movement, nature of deglaciation and bedrock geology.
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31

Qi, Ming, Changcheng Han, Cunfei Ma, et al. "Identification of Diagenetic Facies Logging of Tight Oil Reservoirs Based on Deep Learning—A Case Study in the Permian Lucaogou Formation of the Jimsar Sag, Junggar Basin." Minerals 12, no. 7 (2022): 913. http://dx.doi.org/10.3390/min12070913.

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As a typical tight oil reservoir in a lake basin, the Permian Lucaogou Formation of the Jimsar Sag in the Junggar Basin has great potential for exploration and development. However, at present, there are few studies on the identification of the diagenetic facies of tight oil reservoir logging in the study area, and the control effect of diagenesis on tight oil reservoirs is not clear. The present work investigates the diagenesis and diagenetic facies logging of the study area, making full use of core data, thin sections, and logs, among other data, in order to understand the reservoir characte
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32

Al-Mashaikie, Saad Z. A. Kader, and Younis A. Mohammed. "ANATOMY OF CARBONATE BRECCIAS, TURBIDITE FACIES AND DEPOSITIONAL SYSTEMS OF GERCUS FORMATION IN DOKAN AREA, NORTHERN IRAQ." Iraqi Geological Journal 50, no. 1 (2017): 90–103. http://dx.doi.org/10.46717/igj.50.1.7ms-2017-06-29.

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Four facies associations are classified based on facies types, sedimentary structures and facies successions, these are; distal slope apron siliciclasticcalciturbidites (siliciclastic/ carbonate dominated), proximal marine siliciclasticcalciturbidites (carbonate/ siliciclastic dominated), distal basinal fan siliciclastic turbidites (siliciclastic dominated) and proximal basinal fan siliciclasticcalciturbidites (carbonate/ siliciclastic dominated). The most important characteristic representative facies types are; ball and pillows dolomite (reported here for the first time), thick fissile shale
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33

Pu, Boling, Dazhong Dong, Xinjun Ning, Shufang Wang, Yuman Wang, and Shaoke Feng. "Lithology and sedimentary heterogeneity of Longmaxi shale in the southern Sichuan Basin." Interpretation 10, no. 1 (2021): T45—T56. http://dx.doi.org/10.1190/int-2020-0198.1.

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Producers have always been eager to know the reasons for the difference in the production of different shale gas wells. The Southern Sichuan Basin in China is one of the main production zones of Longmaxi shale gas, whereas the shale gas production is quite different in different shale gas wells. The Longmaxi Formation was deposited in a deepwater shelf that had poor circulation with the open ocean, and it is composed of a variety of facies that are dominated by fine-grained (clay to silt size) particles with varied organic matter distribution, causing heterogeneity of the shale gas concentrati
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34

Alaudah, Yazeed, Patrycja Michałowicz, Motaz Alfarraj, and Ghassan AlRegib. "A machine-learning benchmark for facies classification." Interpretation 7, no. 3 (2019): SE175—SE187. http://dx.doi.org/10.1190/int-2018-0249.1.

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The recent interest in using deep learning for seismic interpretation tasks, such as facies classification, has been facing a significant obstacle, namely, the absence of large publicly available annotated data sets for training and testing models. As a result, researchers have often resorted to annotating their own training and testing data. However, different researchers may annotate different classes or use different train and test splits. In addition, it is common for papers that apply machine learning for facies classification to not contain quantitative results, and rather rely solely on
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35

Chahud, Artur. "El Miembro Taquaral, Formación Irati (Cuenca del Paraná, Pérmico): síntesis de estudios paleontológicos." Estudios Geológicos 77, no. 1 (2021): e139. http://dx.doi.org/10.3989/egeol.44141.594.

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La Formación Irati (Cisuraliense, Kunguriense) se destaca por sus características sedimentológicas, paleontológicas y tafonómicas, importantes para conocer detalles paleoambientales y deposicionales. Dos miembros componen esta formación: Taquaral, el inferior, y Assitência, superior. En el miembro Taquaral, las características litológicas, las estructuras sedimentológicas y los datos paleontológicos permitieron el reconocimiento de tres facies. Las facies arenosa inferior es caracterizada por una fauna de vertebrados rica y diversificada. La segunda facies, compuesta por lutitas limosas, conti
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36

Al-Mashhdani, Mohammed, and Aiad Al-Zaidy. "Depositional and Stratigraphic Evolution of the Mishrif Formation in Eridu Oil Field, Southwestern Iraq." Iraqi Geological Journal 56, no. 1E (2023): 22–42. http://dx.doi.org/10.46717/igj.56.1e.3ms-2023-5-13.

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This study is achieved in the local area in Eridu oil field, where the Mishrif Formation is considered the main productive reservoir. The Mishrif Formation was deposited during the Cretaceous period in the secondary sedimentary cycle (Cenomanian-Early Turonian as a part of the Wasia Group a carbonate succession and widespread throughout the Arabian Plate. There are four association facies are identified in Mishrif Formation according the microfacies analysis: FA1-Deep shelf facies association (Outer Ramp); FA2-Slope (Middle Ramp); FA3-Reef facies (Shoal) association (Inner ramp); FA4-Back Reef
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37

Permana, Aang Panji, Subagyo Pramumijoyo, and Sunarty Suly Eraku. "MICROFACIES AND DEPOSITIONAL ENVIRONMENT OF TERTIARY LIMESTONE, GORONTALO PROVINCE, INDONESIA." Series of Geology and Technical Sciences 2, no. 446 (2021): 15–21. http://dx.doi.org/10.32014/2021.2518-170x.29.

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The research area is located in northern Limboto Lake in Gorontalo Province, which has complex geological characteristics. The geological complexities include stratigraphy and tectonics which influence the formation of the Limboto Basin. Limestone research in the Late Tertiary Limboto Basin is very intriguing to be done because of the lack of research in limestone. Gorontalo limestone outcrops, which become the focus of the research, have a total thickness of 30 meters. The research objective is to analyze facies, microfacies, and depositional environment of tertiary limestone. These two resea
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38

Moore, Shawn A., Lauren P. Birgenheier, Matthias D. Greb, Daniel Minisini, Maísa Tunik, and Julieta Omarini. "Facies heterogeneity and source potential of carbonate-mudstone-dominated distal ramp deposits, Agrio Formation, Neuquén Basin, Argentina." Journal of Sedimentary Research 90, no. 5 (2020): 533–70. http://dx.doi.org/10.2110/jsr.2020.25.

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ABSTRACT The carbonate-mudstone-dominated Lower Cretaceous Agrio Formation is the youngest marine source rock of the hydrocarbon-prolific Neuquén Basin in Argentina, yet its facies variability and unconventional hydrocarbon potential remains relatively understudied. Detailed studies of mudstone facies variability in thick, carbonate mudstone successions deposited largely below storm wave base (i.e., chalk–marl, black shale, limestone), like the Agrio Formation, are rare and instead commonly focus on biostratigraphy or organic geochemistry alone. A continuous northern section of the Agrio Forma
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39

Saraswat, Puneet, and Mrinal K. Sen. "Artificial immune-based self-organizing maps for seismic-facies analysis." GEOPHYSICS 77, no. 4 (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
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40

Chaaou, Ismail, Lahcen Kabiri, and Badre Essafraoui. "Lithostratigraphic and Paleoenvironmental Characterization of the Senonian Series of the Errachidia-Boudenib-Erfoud Basin, South-East Morocco." Iraqi Geological Journal 56, no. 2D (2023): 76–93. http://dx.doi.org/10.46717/igj.56.2d.6ms-2023-10-12.

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Six lithostratigraphic sections distributed in different parts of the Errachidia-Boudenib-Erfoud basin (SE Morocco) were surveyed bed by bed and sampled in order to study stratigraphy, analyzed the facies, and characterized the depositional environment of the Senonian series. This study shows that this series is mainly constituted of three lithostratigraphic units: the first one is mixed, attesting to an alluvial plain environment disturbed by marine incursions at the base. The second is dominated by "kerkoub" sandstone bars intercalated by silt-clay intervals, reflecting a floodplain environm
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41

Mikuláš, Radek, Petr Skupien, Miroslav Bubík, and Zdeněk Vašíček. "Ichnology of the Cretaceous Oceanic Red Beds (Outer Western Carpathians, Czech Republic)." Geologica Carpathica 60, no. 3 (2009): 233–50. http://dx.doi.org/10.2478/v10096-009-0016-1.

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Ichnology of the Cretaceous Oceanic Red Beds (Outer Western Carpathians, Czech Republic)Large differences in the intensity and overall character of bioturbational structures were found in five facies containing hemipelagic red beds. Red beds (CORB) of the Godula facies of the Silesian Unit and their equivalents (mostly not red) in the Kelč facies of the Silesian Unit and the CORB in the non-calcareous sediments of the Rača Unit display a very low degree of bioturbation. The CORB facies of the Rača Unit, containing calcareous intercalations, displays a very high degree of bioturbation as expres
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42

Deng, Mo, Guowei Zhao, Xiaobing Lin, Chunyu Chen, Longlong Li, and Qingshao Liang. "Sedimentary Facies, Paleogeography, and Depositional Models of the Middle–Late Permian in the Sichuan Basin, Southwest China." Minerals 13, no. 11 (2023): 1406. http://dx.doi.org/10.3390/min13111406.

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This study focuses on the analysis of the sedimentary facies of the Middle–Late Permian, including the Qixia, Maokou, Wujiaoping/Longtan, and Changxing/Dalong Formations, in the Sichuan Basin, southwest China. Integrating drilling data and field outcrop data, various sedimentary facies indicators were employed to define eight sedimentary facies types in the Sichuan Basin during the Middle–Late Permian, namely, mixed tidal flat, tidal flat, restricted platform, open platform, platform margin, slope, basin, and volcanic facies. Detailed facies analysis was conducted on selected well logs, and se
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Opuwari, M., M. Amponsah-Dacosta, S. Mohammed, and N. Egesi. "Delineation of sandstone reservoirs of Pletmos Basin offshore South Africa into Flow Units using Core Data." South African Journal of Geology 123, no. 4 (2020): 479–92. http://dx.doi.org/10.25131/sajg.123.0032.

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Abstract The present study is focused on the comparison of petrophysical rock typing and zonation methods of the Valanginian age sandstone in the Pletmos Basin offshore South Africa, to produce a zonation scheme for the low-permeability shaly sandstone reservoirs from core porosity and permeability data. The Valanginian age sediments of the Lower Cretaceous consist predominantly of a shallow marine sequence with interbeds of siltstone, claystone, generally fine-grained sandstone, and glauconitic, with varying amounts of an argillaceous matrix. A core description report was used in conjunction
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Калимуллин, Алмаз Маратович, and Альберт Феликсович Сафаров. "Application of lithologic-and-facies analysis in geological modeling of sirenevskoye field bobrikovskian formation." Нефтяная провинция, no. 2(10) (October 31, 2017): 95–108. http://dx.doi.org/10.25689/np.2017.2.95-108.

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В данной статье рассматривается важность применения концептуальной геологической модели бобриковского горизонта Сиреневского месторождения при подсчете запасов и при дальнейшем расчете гидродинамической модели. Основой для воссоздания условий осадконакопления отложения послужил литолого-фациальный анализ. В настоящее время литолого-фациальный анализ отложений широко применяется в нефтегазовой геологии, как в начале изучения территории, так и на этапе промышленного освоения залежей, и всего месторождения. Появляется возможность формализовать свойства геологического пространства и выявить послед
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Khitrunov, A. T. "GRANITOID MINERAL FACIES OF FOLDED REGIONS." International Geology Review 27, no. 7 (1985): 870–77. http://dx.doi.org/10.1080/00206818509466473.

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Wright, V. P. "Peritidal carbonate facies models: A review." Geological Journal 19, no. 4 (2007): 309–25. http://dx.doi.org/10.1002/gj.3350190402.

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Michelena, Reinaldo J., Kevin S. Godbey, and Omar Angola. "Constraining 3D facies modeling by seismic-derived facies probabilities: Example from the tight-gas Jonah Field." Leading Edge 28, no. 12 (2009): 1470–76. http://dx.doi.org/10.1190/1.3272702.

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Gao, Dengliang. "Latest developments in seismic texture analysis for subsurface structure, facies, and reservoir characterization: A review." GEOPHYSICS 76, no. 2 (2011): W1—W13. http://dx.doi.org/10.1190/1.3553479.

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In exploration geology and geophysics, seismic texture is still a developing concept that has not been sufficiently known, although quite a number of different algorithms have been published in the literature. This paper provides a review of the seismic texture concepts and methodologies, focusing on latest developments in seismic amplitude texture analysis, with particular reference to the gray level co-occurrence matrix (GLCM) and the texture model regression (TMR) methods. The GLCM method evaluates spatial arrangements of amplitude samples within an analysis window using a matrix (a two-dim
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Khadkikar, Aniruddha S. "Trough cross-bedded conglomerate facies." Sedimentary Geology 128, no. 1-2 (1999): 39–49. http://dx.doi.org/10.1016/s0037-0738(99)00060-3.

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Kalkreuth, Wolfgang D. "Coal facies studies in Canada." International Journal of Coal Geology 58, no. 1-2 (2004): 23–30. http://dx.doi.org/10.1016/j.coal.2003.06.001.

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