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Relevant bibliographies by topics / Lithology interpretation

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Academic literature on the topic 'Lithology interpretation'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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Journal articles on the topic "Lithology interpretation"

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Houck, Richard T. "Quantifying the uncertainty in an AVO interpretation." GEOPHYSICS 67, no. 1 (2002): 117–25. http://dx.doi.org/10.1190/1.1451395.

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Lithologic interpretations of amplitude variation with offset (AVO) information are ambiguous both because different lithologies occupy overlapping ranges of elastic properties, and because angle‐dependent reflection coefficients estimated from seismic data are uncertain. This paper presents a method for quantifying and combining these two components of uncertainty to get a full characterization of the uncertainty associated with an AVO‐based lithologic interpretation. The result of this approach is a compilation of all the lithologies that are consistent with the observed AVO behavior, along

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Waters, Kester D., and Michael A. C. Kemper. "Find the rocks and the fluids will follow — AVO as a tool for lithology classification." Interpretation 2, no. 2 (2014): SC77—SC91. http://dx.doi.org/10.1190/int-2013-0118.1.

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Full-stack seismic interpretation continues to be the primary means of subsurface interpretation. However, the underlying impact of amplitude variation with offset (AVO) is effectively ignored or overlooked during the full-stack interpretation process. Recent advances in well-logging and rock physics techniques highlight the fact that AVO is a useful tool not only for detection of fluid anomalies, but also for the detection and characterization of lithology. We evaluated an overview of some of the key steps in the rock physics assessment of well logs and seismic data, and highlight the potenti

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Sari, Tri Wulan, and Sujito Sujito. "LITHOLOGY INTERPRETATION BASED ON WELL LOG DATA ANALYSIS IN “JS” FIELD." Applied Research on Civil Engineering and Environment (ARCEE) 1, no. 01 (2019): 31–37. http://dx.doi.org/10.32722/arcee.v1i01.1955.

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Reservoir lithology types in a prospect zone of hydrocarbon can be known through well log data analysis, both qualitatively and quantitatively. Lithology interpretation based on qualitatively well log data analysis, has been successfully carried out by K-1 and K-3 well log data on JS Field, West Natuna basin, Riau Islands.Main focus of the research is types of lithology indicated by response the petrophysical well data log of Lower-Middle Miocene Arang Formation. Arang Formation was deposited immediately on top Barat formation and depositional environment in this formation is transitional mari

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Ley-Cooper, Yusen, and James Macnae. "Disrupted layered lithology can jeopardise airborne electromagnetic interpretation." ASEG Extended Abstracts 2010, no. 1 (2010): 1–4. http://dx.doi.org/10.1081/22020586.2010.12041993.

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Sams, M. S., and D. Saussus. "Uncertainties in the quantitative interpretation of lithology probability volumes." Leading Edge 29, no. 5 (2010): 576–83. http://dx.doi.org/10.1190/1.3422456.

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Shi, Shao Jun. "Logging Interpretation of S2 Formation of Moliqing Oilfield, Yitong Basin." Advanced Materials Research 1092-1093 (March 2015): 1406–9. http://dx.doi.org/10.4028/www.scientific.net/amr.1092-1093.1406.

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Based on well logging data, this study has done research of well logging interpretation of Moliqing oilfield in Yitong basin. The Second member of Shuangyang formation is the main area. The main causes of complicated oil-water relationship are as follows: 1) rapid facies change produce diverse lithology distribution, and various lithology have different electrical property standards; 2) complex tectonic characteristics of study area bring about great difficulty in oil and water layer identification, especially a series of small normal faults in deep strata. According to those above, we built l

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Zeng, Hongliu, and Milo M. Backus. "Interpretive advantages of 90°-phase wavelets: Part 1 — Modeling." GEOPHYSICS 70, no. 3 (2005): C7—C15. http://dx.doi.org/10.1190/1.1925740.

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We discuss, in a two-part article, the benefits of 90°-phase wavelets in stratigraphic and lithologic interpretation of seismically thin beds. In Part 1, seismic models of Ricker wavelets with selected phases are constructed to assess interpretability of composite waveforms in increasingly complex geologic settings. Although superior for single surface and thick-layer interpretation, zero-phase seismic data are not optimal for interpreting beds thinner than a wavelength because their antisymmetric thin-bed responses tie to the reflectivity series rather than to impedance logs. Nonsymmetrical w

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Alcolea Rodríguez, Andrés, Paul Marschall, Christophe Nussbaum, and Jens Karl Becker. "Automatic interpretation of geophysical well logs." Geological Society, London, Special Publications 482, no. 1 (2018): 25–38. http://dx.doi.org/10.1144/sp482.9.

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AbstractStratigraphic sequences in boreholes are commonly estimated by interpreting combinations of well logs. The interpretation is generally tedious and is made some time after log completion, which often leads to a loss of valuable first-hand information gathered on-site. This may lead to delayed or potentially poor on-site decisions. To make things worse, the standard interpretation of well logs is, at least to a certain degree, subjective and based on the manipulation of data, which may be difficult to trace in the long term. Small changes in lithology are often disregarded and alternatin

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Zhou, Jia Jing, Shu Fang Tian, Na Wang, and Xiao Hu. "Enhancement and Application of WorldView-2 to Geological Interpretation." Advanced Materials Research 1010-1012 (August 2014): 1237–42. http://dx.doi.org/10.4028/www.scientific.net/amr.1010-1012.1237.

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By comparing WorlView-2 with other remote sensing data in the characteristics of spectral bands and spatial resolution, we found that all the eight bands of WorldView-2 are sensitive to lithology and helpful to distinguish them; besides, WorldView-2 provides a richer texture information with a high spatial resolution of 0.46m, which is also very important in geological interpretation of remote sensing. Therefore, WorldView-2 data has a strong advantage in geological applications. In the geological interpretation of the Kezile area in West Kunlun Mountain, different enhancement methods based on

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Katkov, R. A., and V. I. Kislukhin. "LITHOLOGY-CAPACITY MODELS OF THE TOURNAISIAN STAGE PRODUCTIVE RESERVOIRS OF THE OIL FIELD KREMENKULSKOYE IN ORENBURG REGION." Oil and Gas Studies, no. 3 (June 30, 2015): 19–22. http://dx.doi.org/10.31660/0445-0108-2015-3-19-22.

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The article presents lithology-capacity models of the productive reservoirs of the Tournaisian stage Kremenkul-skoye oil field in Orenburg region. It focuses on the rocks composing the strata of the horizon, these strata reservoirs types, based on the data of which the lithology-capacity models were constructed for further interpretation of different types of data.

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Dissertations / Theses on the topic "Lithology interpretation"

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Astbury, S. "Analysis and interpretation of full waveform sonic data." Thesis, University of Oxford, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.371535.

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Alborzi, Mahmood. "Application of neural networks to real-time log interpretation in oil well drilling." Thesis, Brunel University, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.309502.

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Graciolli, Vinicius Medeiros. "A novel classification method applied to well log data calibrated by ontology based core descriptions." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2018. http://hdl.handle.net/10183/174993.

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Um método para a detecção automática de tipos litológicos e contato entre camadas foi desenvolvido através de uma combinação de análise estatística de um conjunto de perfis geofísicos de poços convencionais, calibrado por descrições sistemáticas de testemunhos. O objetivo deste projeto é permitir a integração de dados de rocha em modelos de reservatório. Os testemunhos são descritos com o suporte de um sistema de nomenclatura baseado em ontologias que formaliza extensamente uma grande gama de atributos de rocha. As descrições são armazenadas em um banco de dados relacional junto com dados de p

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Whiting, Thomas H. "A study of the lithology and structure of the eastern Arunta Inlier based on aeromagnetic interpretation : a lithological subdivision and structural history of the eastern Arunta Inlier, with particular emphasis on the relationship between magnetic mineral petrogenesis, rock magnetism and aeromagnetic signature /." Title page, contents and abstract only, 1987. http://web4.library.adelaide.edu.au/theses/09PH/09phw6125.pdf.

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Welder, Jennifer. "Seismic Interpretation and Well Log Analysis of Jay County, Indiana, focused on lithologic units below the Mt. Simon Formation." Wright State University / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=wright1421158261.

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Book chapters on the topic "Lithology interpretation"

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Cai, Rui, Hao Liu, Ming-jun Zhang, Ji-quan Yin, Ling-hong Kong, and Wei Yin. "Seismic Interpretation of Special Lithologic Body and Evaluation of Lithologic Traps—Taking the Target of the Lower Jurassic in the Western Region of Block K of the South Turgay Basin as an Example." In Springer Series in Geomechanics and Geoengineering. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-2485-1_303.

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"Rock physics interpretation of texture, lithology and compaction." In Quantitative Seismic Interpretation. Cambridge University Press, 2005. http://dx.doi.org/10.1017/cbo9780511600074.003.

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Doveton, John H. "Lithology Determination from the Overlay of Density and Neutron Logs." In Geologic Log Interpretation. SEPM (Society for Sedimentary Geology), 1994. http://dx.doi.org/10.2110/scn.94.29.0063.

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"Case studies: Lithology and pore-fluid prediction from seismic data." In Quantitative Seismic Interpretation. Cambridge University Press, 2005. http://dx.doi.org/10.1017/cbo9780511600074.006.

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"9. Getting Clues to the Lithology." In The Seismic Velocity Model as an Interpretation Asset. Society of Exploration Geophysicists, 1998. http://dx.doi.org/10.1190/1.9781560801849.ch9.

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Haimson, B. "The effect of lithology, inhomogeneity, topography, and faults, on in situ stress measurements by hydraulic fracturing, and the importance of correct data interpretation and independent evidence in support of results." In Rock Stress and Earthquakes. CRC Press, 2010. http://dx.doi.org/10.1201/9780415601658-4.

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Bianchi, Thomas S. "Anthropogenic Stressors in Estuaries." In Biogeochemistry of Estuaries. Oxford University Press, 2006. http://dx.doi.org/10.1093/oso/9780195160826.003.0026.

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Human demands on aquatic and terrestrial ecosystems are on the increase globally and have likely exceeded the regenerative capacity of the Earth since the 1980s. Demands on our aquatic resources will increase in coming decades as it is projected that 75% of the world’s population (6.3 billion) will reside in coastal areas by 2025 (Tilman et al., 2001). The Earth’s population is expected to reach 9 billion during this century, and the projected effects of contaminant loading and human encroachment on biodiversity still remain unclear. The disturbance on global coastal ecosystems and the threat it will have on the economically critical resources they provide, has been estimated to be valued at 12.6 trillion U.S. dollars (Costanza et al., 2001). It has become increasingly apparent that in many regions of the world, Earth systems, which have been viewed as being primarily controlled by natural drivers such as climate, vegetation, and lithology, are now controlled by social, societal, and economic drivers (e.g., population growth, urbanization, industrialization water engineering) (Meybeck, 2002, 2003). This replacement of natural drivers over the past 50 to 200 years has recently been referred to as the Anthropocene era (first postulated by Vernadski, 1926), as a next phase that follows the Holocene era (Crutzen and Stoermer, 2000). Other studies that have effectively made large-scale linkages between human effects on the Earth systems (Turner et al., 1990) and aquatic systems (Costanza et al., 1990, 1997; Meybeck, 2002, 2003; Meybeck and Vörösmarty, 2004) have all concluded that a more comprehensive and fine-scale interpretation of the Anthropocene is needed if we are to make future predictions and management decisions effectively. The growth and movement of human populations have resulted in a significant stressor in the form of invasive species that has altered global biodiversity patterns. For example, the introduction of invasive species worldwide has changed the community composition and physical structure of many ecosystems (Elton, 1958; Vitousek et al., 1997). Estuarine systems, like the northern San Francisco Bay, have experienced serious declines in productivity at the base of the food web over recent decades after the introduction of the Asian clam, Potamocorbula amurensis, in 1987 (Carlton et al., 1990).

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Ollier, G., and B. Mathis. "Lithologic Interpretation from Geophysical Logs in Holes 737B, 738C, 739C, and 742A." In Proceedings of the Ocean Drilling Program, 119 Scientific Results. Ocean Drilling Program, 1991. http://dx.doi.org/10.2973/odp.proc.sr.119.183.1991.

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Gonçalves, C. A. "Lithologic interpretation of downhole logging data from the Côte d'Ivoire-Ghana Transform Margin: a statistical approach." In Proceedings of the Ocean Drilling Program, 159 Scientific Results. Ocean Drilling Program, 1998. http://dx.doi.org/10.2973/odp.proc.sr.159.031.1998.

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Conference papers on the topic "Lithology interpretation"

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M. Lyakhovitsky, F., and D. O. Sirotenko. "Lithology interpretation of poisson's ratios of anisotropic sedimentary rocks." In 55th EAEG Meeting. European Association of Geoscientists & Engineers, 1993. http://dx.doi.org/10.3997/2214-4609.201411678.

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You-Sheng, Y., Y. Ming-Li, W. Xin, and X. Zeng-Kui. "Interpretation of Lithology and Connectivity with Crosswell Velocity Tomography." In 64th EAGE Conference & Exhibition. European Association of Geoscientists & Engineers, 2002. http://dx.doi.org/10.3997/2214-4609-pdb.5.p146.

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Jiang, Kai, Shoudong Wang, Baosheng Cui, Shizhao Pu, and Hang Duan. "Application of Boosting Tree algorithm in logging lithology interpretation." In International Geophysical Conference, Beijing, China, 24-27 April 2018. Society of Exploration Geophysicists and Chinese Petroleum Society, 2018. http://dx.doi.org/10.1190/igc2018-433.

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Arnø, Mikkel, John-Morten Godhavn, and Ole Morten Aamo. "Real-Time Classification of Drilled Lithology from Drilling Data Using Deep Learning with Online Calibration." In SPE/IADC International Drilling Conference and Exhibition. SPE, 2021. http://dx.doi.org/10.2118/204093-ms.

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Abstract Decision making to optimize the drilling operation is based on a variety of factors, among them real-time interpretation of drilled lithology. Since logging while drilling (LWD) tools are placed some meters above the bit, mechanical drilling parameters are the earliest indicators, although difficult to interpret accurately. This paper presents a novel deep learning methodology using mechanical drilling parameters for lithology classification. A cascade of multilayered perceptrons (MLPs) are trained on historical data from wells on a field operated by Equinor. Rather than an end-to-end

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Peyret, Aymeric-Pierre, Joaquín Ambía, Carlos Torres-Verdín, and Joachim Strobel. "AUTOMATIC INTERPRETATION OF WELL LOGS WITH LITHOLOGY-SPECIFIC DEEP-LEARNING METHODS." In 2019 SPWLA 60th Annual Symposium. Society of Petrophysicists and Well Log Analysts, 2019. http://dx.doi.org/10.30632/t60als-2019_ssss.

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Zhang, Zhenhua, Fuping Gan, and Dandan Wei. "Comparative evaluation of multiple satellite remote sensing data on lithology interpretation." In Ninth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2015), edited by Jianguo Liu and Hong Sun. SPIE, 2015. http://dx.doi.org/10.1117/12.2204932.

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Viezzoli, A., V. Kaminski, H. Paasche, and G. Manca. "Three-dimentional Pseudo-lithology Derived from Interpretation of Airborne Geophysical Data." In Second European Airborne Electromagnetics Conference. EAGE Publications BV, 2017. http://dx.doi.org/10.3997/2214-4609.201702153.

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Zhong, Li, Wu Yi, Pang Zhaoyu, and Cao Jie. "Intelligent interpretation method for lithology recognition using real-time LWD data." In 2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP). IEEE, 2021. http://dx.doi.org/10.1109/icsp51882.2021.9408809.

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Zhang, Qiong, Jean-Baptiste Peyaud, Alberto Mezzatesta, and Lena Thrane. "A novel geological interpretation methodology for derivation of formation lithology and mineralogy." In SEG Technical Program Expanded Abstracts 2016. Society of Exploration Geophysicists, 2016. http://dx.doi.org/10.1190/segam2016-13416755.1.

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NICULESCU, B. M., and A. NEGUT. "A Newton-Raphson Approach for Geophysical Well Logs Interpretation in Complex Lithology Formations." In 8th Congress of the Balkan Geophysical Society. EAGE Publications BV, 2015. http://dx.doi.org/10.3997/2214-4609.201414199.

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Reports on the topic "Lithology interpretation"

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Lavoie, D. Lithology and preliminary paleoenvironmental interpretation of the Macumber and Pembroke formations (Windsor Group, Early Carboniferous), Nova Scotia. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1994. http://dx.doi.org/10.4095/193855.

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