Academic literature on the topic 'Geophysical well logging'

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Journal articles on the topic "Geophysical well logging"

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Zagranovskaya, D. E., S. I. Isaeva, and O. A. Zakharova. "Fundamentals of well logging data interpretation for determining prospective Frasnian-Famennian Domanik deposits." Proceedings of higher educational establishments. Geology and Exploration 63, no. 2 (2020): 61–72. http://dx.doi.org/10.32454/0016-7762-2020-63-2-61-72.

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Background. In the process of studying productive Domanik deposits of the Frasnian-Famennian, numerous uncertainties arise in identifying their effective thickness. Although several approaches have been recently proposed for identifying promising intervals in Domanik sediments, e.g. determination of the effective thickness using gas logging during geological and technical studies, the use of the interpretation method presented in the article and other methods continue to develop. Therefore, studies aimed at increasing their efficiency remain to be relevant.Aim. To develop basic methodological
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Kiss, Viktória, Norbert Péter Szabó, and Ernő Takács. "Improvement of Seismic Sections and Well Logs for Joint Geophysical Interpretation." Geosciences and Engineering 10, no. 15 (2022): 96–109. http://dx.doi.org/10.33030/geosciences.2022.15.096.

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Seismic and well-logging data are useful for comparison and then integratation for a comprehensive geophysical interpretation. In the course of this work, seismic results were compared with well-logging geophysical data and profiles for more reliable evaluation of groundwater formations in the Tokaj region, north-east Hungary. The seismic results and profiles were obtained by the Common Reflection Surface (CRS) stacking technique. This is an advantageous stacking technique that is expected to greatly improve seismic profiles. In connection with this, we also examined some well-logging geophysi
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Yu, Hua Ping, and Huan Wu. "Discussion on Preprocessing Technique of Geophysical Logging Data." Applied Mechanics and Materials 496-500 (January 2014): 2178–81. http://dx.doi.org/10.4028/www.scientific.net/amm.496-500.2178.

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Logging data preprocessing is the basis of reservoir description and reservoir evaluation with logging data, which is a technique that can reduce the influence generated by the nongeological factors (such as the logging environment, logging instrument precision and calibration, the artificial operation etc.) as much as possible by some mathematic methods. This paper analyzes the regular methods of logging data preprocessing such as well logging curve environment correction technique, logging curve normalization technique and logging curve interpolation technique, and presents standard procedur
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Yan, Tao Tao, Zhi Qiang Liu, Li Ren Xing, Yong Luo, Ya Dong Bai, and Sai Peng Huang. "Evaluation of the Gas Content of Coal Reservoirs with Geophysical Logging in Weibei Coalbed Methane Field, Southeastern Ordos Basin, China." Advanced Materials Research 734-737 (August 2013): 331–34. http://dx.doi.org/10.4028/www.scientific.net/amr.734-737.331.

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Gas content is one of the most important factors in the process of exploration and development of coalbed methane (CBM). The relationships between gas content and characteristics of geophysical logs have been evaluated for the No. 5 coal seam in Weibei CBM field. It is found that the main well loggings that have good responses for gas contents are the compensating density, natural gamma-ray, compensating neutron, natural spontaneous potential and acoustic. A theoretical model was proposed to calculate the gas content by using these well logging data and as well as the burial depth. The calcula
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Yearsley, E. N., R. E. Crowder, and L. A. Irons. "Monitoring Well Completion Evaluation with Borehole Geophysical Density Logging." Groundwater Monitoring & Remediation 11, no. 1 (1991): 103–11. http://dx.doi.org/10.1111/j.1745-6592.1991.tb00356.x.

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An, Fengquan, and Zaitian Ma. "Relationships of different resolution parameters in geophysical well logging." Science in China Series D: Earth Sciences 41, no. 4 (1998): 395–400. http://dx.doi.org/10.1007/bf02932691.

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Pelmegov, Roman, and Artyom Kudelin. "On automated quality control of geophysical well logging data." Вестник Донского государственного технического университета 14, no. 3 (2014): 45–55. http://dx.doi.org/10.12737/5716.

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Bondarenko, M. S., and V. V. Kulyk. "Determination of engineering geophysical parameters of grounds on building sites and for seismic microzonation (methodical and metrological components of technology)." Geofizicheskiy Zhurnal 44, no. 1 (2022): 3–22. http://dx.doi.org/10.24028/gzh.v44i1.253708.

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To ensure the reliability and long-term usage of high housing buildings, important industrial, infrastructural and other objects, it is necessary to carry out engineering geological investigations of grounds (near-surface rocks) as the basis of these structures. To prevent the potential danger of destruction of the objects, it is also necessary to perform microseismic investigations of the near-surface geological environment and to agree the obtained results with the engineering geological parameters in the section of the test boreholes. Engineering geological parameters, determined by geophys
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Abramov, Kirill, and Janis Grundspenkis. "Suitability Determination of Machine Learning Techniques for the Operational Quality Assessment of Geophysical Survey Results." Applied Computer Systems 25, no. 2 (2020): 153–62. http://dx.doi.org/10.2478/acss-2020-0017.

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Abstract Well logging, also known as a geophysical survey, is one of the main components of a nuclear fuel cycle. This survey follows directly after the drilling process, and the operational quality assessment of its results is a very serious problem. Any mistake in this survey can lead to the culling of the whole well. This paper examines the feasibility of applying machine learning techniques to quickly assess the well logging quality results. The studies were carried out by a reference well modelling for the selected uranium deposit of the Republic of Kazakhstan and further comparing it wit
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Zhiyou, Liu, Huo Jinghuan, and Zhu Xiaogang. "The application of digital logging in exploration of Jiang Cang coalfield in Qinghai province." International Journal of Geology 1, no. 1 (2016): 44. http://dx.doi.org/10.26789/ijg.2016.006.

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A lot of well logging on to Jiang Cang coalfield in the past work and achieved good results, but due to differ in age, instrumentation equipment and method were different. In order to understand the application effect of the equipment used in the area now and in order to provide the basis for the future working to choose the appropriate logging parameters and well logging interpretation, we chosed GJS - 1 b intelligent engineering logging system produced by Chongqing geological instrument factory in Jiang Cang mining area, we collected the data when cable were ascending, according to 《the re
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Dissertations / Theses on the topic "Geophysical well logging"

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Banchs, Rafael Enrique. "Time harmonic field electric logging /." Digital version accessible at:, 1998. http://wwwlib.umi.com/cr/utexas/main.

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ROSA, GUILHERME SIMON DA. "PSEUDO-ANALYTICAL MODELING FOR ELECTROMAGNETIC WELL-LOGGING TOOLS IN COMPLEX GEOPHYSICAL FORMATIONS." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2017. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=30559@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO<br>COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR<br>CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO<br>PROGRAMA DE DOUTORADO SANDUÍCHE NO EXTERIOR<br>Esta tese apresenta um estudo sobre técnicas de modelagem numérica utilizadas na análise da propagação eletromagnética em formações geofísicas comumente encontradas na perfuração de poços de petróleo. O emprego de sensores eletromagnéticos adjacentes à broca de perfuração permite a inferência dos parâmetros constitutivos do solo ao redor do poço. Nos últimos anos, os
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Tsang, Wing-shing, and 曾永成. "Borehole geophysics limitations of natural gamma and gamma-gamma density logging methods." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2003. http://hub.hku.hk/bib/B42577238.

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Tsang, Wing-shing. "Borehole geophysics limitations of natural gamma and gamma-gamma density logging methods." Click to view the E-thesis via HKUTO, 2003. http://sunzi.lib.hku.hk/hkuto/record/B42577238.

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Bertl, Brooks R. "Projective well log analysis : Plummer Field, Greene County, Indiana." Virtual Press, 1992. http://liblink.bsu.edu/uhtbin/catkey/834523.

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The purpose of this investigation is to determine the effectiveness of projective well log analysis based upon data collected from Plummer Field located in Greene County, Indiana. Projective well log analysis consists of analyzing spontaneous potential (SP) logs from existing oil and gas wells in order to determine SP gradients that may be applied to locate other undiscovered hydrocarbon accumulations. Projective well log analysis was developed in 1963 by S.J. Pirson, however, the specific parameters employed in the Plummer Field investigation were developed in 1988 by Dr. R.H. Fluegeman in or
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Bloxson, Julie M. "Characterization of the Porosity Distribution within the Clinton Formation, Ashtabula County, Ohio by Geophysical Core and Well Logging." Kent State University / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=kent1341879463.

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O'Neal, Ryan J. "Seismic and well log attribute analysis of the Jurassic Entrada/Curtis interval within the North Hill Creek 3D seismic survey, Uinta Basin, Utah : case history /." Diss., CLICK HERE for online access, 2007. http://contentdm.lib.byu.edu/ETD/image/etd2017.pdf.

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Kowalski, André Campos Guaragna. "Análise da conectividade de fraturas em maciços cristalinos utilizando perfilagem geofísica e modelos de percolação." Universidade de São Paulo, 2017. http://www.teses.usp.br/teses/disponiveis/14/14132/tde-10092018-080732/.

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O principal objetivo deste trabalho foi avaliar um procedimento de campo para testar o comprimento mínimo que fraturas devem ter para construir uma rede de fluxo em escala de dezenas de metros ao longo de maciços cristalinos. O comprimento mínimo é determinado a partir do limite de percolação, definido por modelos baseados na Teoria da Percolação e a densidade de fraturas no poço, determinada pela perfilagem ótica. Para testar o valor de 3,9 metros que foi encontrado, foram realizados bombeamentos em dois poços próximos enquanto o nível estático era registrado no poço de observação. O método a
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Titus, Willard Sidney III. "Development and application of some quantitative stratigraphic techniques to the Coos Bay coalfield, a Tertiary fluvio-deltaic complex in southwestern Oregon." PDXScholar, 1987. https://pdxscholar.library.pdx.edu/open_access_etds/3730.

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A computer technique for interpreting geophysical logs of drill-holes in quantitative lithologic terms has been developed and tested on the deposits of the late Eocene Coaledo Formation, a well-studied fluvio-deltaic complex in southwestern Oregon. The technique involves the use of induced and natural gamma logs for separation of coal and claystone from coarse-grained detrital rocks and the use of the ratio of resistivity and natural gamma responses (defined here as the "grain size index") to divide the coarse elastic rocks into a series of textural classes corresponding to the Wentworth-Odden
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Фтемов, Я. М. "Виділення нафтонасичених порід-колекторів Юрських відкладів за геолого-геофізичними критеріями (на прикладі Лопушнянського нафтового родовища)". Thesis, Івано-Франківський національний технічний університет нафти і газу, 2016. http://elar.nung.edu.ua/handle/123456789/38.

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У дисертаційній роботі вирішується ряд важливих задач, які виникають під час виділення карбонатних порід-колекторів та визначення їх колекторських властивостей. За результатами дослідження геологічної будови Лопушнянського родовища встановлено, що карбонатні породи-колектори верхньої юри представлені вапняками складної будови (різного літологічного складу із наявністю тріщинної, кавернозної та відкритої пористості). За літолого-петрофізичною характеристикою, розподілом пустот порового простору та наявності глинисто-карбонатного цементу матриці карбонатні породи-колектори відносяться до третьої
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Books on the topic "Geophysical well logging"

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Tittman, Jay. Geophysical well logging. Academic Press, 1986.

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Gorbachev, Yury I. Well logging: Fundamentals of methods. Wiley, 1995.

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Repsold, H. Well logging in groundwater development. H. Heise, 1989.

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Heisig, Paul M. Borehole geophysical data from bedrock wells at Windham, New York. U.S. Geological Survey, 1997.

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Geological Survey (U.S.), ed. Geological application of well logs: A selected bibliography of well logging literature published through June 30, 1985. U.S. Dept. of the Interior, Geological Survey, 1985.

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Bassiouni, Zaki. Theory, measurement, and interpretation of well logs. Henry L. Doherty Memorial Fund of AIME, Society of Petroleum Engineers, 1994.

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Conger, Randall W. Borehole geophysical logging for water-resources investigations in Pennsylvania. U.S. Dept. of the Interior, U.S. Geological Survey, 1996.

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Conger, Randall W. Borehole geophysical logging for water-resources investigations in Pennsylvania. U.S. Dept. of the Interior, U.S. Geological Survey, 1996.

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Moyer, Thomas C. Summary of lithologic logging of new and existing boreholes at Yucca Mountain, Nevada, July 1994 to November 1994. U.S. Dept. of the Interior, U.S. Geological Survey, 1995.

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Conger, Randall W. Evaluation of geophysical logs, phase II, at Willow Grove Naval Air Station Joint Reserve Base, Montgomery County, Pennsylvania. U.S. Dept. of the Interior, U.S. Geological Survey, 1999.

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Book chapters on the topic "Geophysical well logging"

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Kobr, Miroslav. "Geophysical Well Logging." In Encyclopedia of Solid Earth Geophysics. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-10475-7_173-1.

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Kobr, Miroslav. "Geophysical Well Logging." In Encyclopedia of Solid Earth Geophysics. Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-90-481-8702-7_173.

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Kobr, Miroslav. "Geophysical Well Logging." In Encyclopedia of Solid Earth Geophysics. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-58631-7_173.

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Assaad, Fakhry A., and Philip E. LaMoreaux. "Geophysical Well Logging Methods and Interpretations." In Field Methods for Geologists and Hydrogeologists. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-662-05438-3_7.

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Assaad, Fakhry A. "Geophysical Well Logging Methods of Oil and Gas Reservoirs." In Field Methods for Petroleum Geologists. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-78837-9_5.

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Parasnis, D. S. "Well logging in oil fields." In Principles of Applied Geophysics. Springer Netherlands, 1986. http://dx.doi.org/10.1007/978-94-009-4113-7_9.

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Li, Xinhu, Qiuling Wang, and Wenhui Ma. "The Study of Well Logging Sedimentary Microfacies in Tengge’er Formation Baiyinchagan Depression." In Technology and Application of Environmental and Engineering Geophysics. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-3244-8_8.

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"Geophysical Well Logging." In Applied Geophysics. Cambridge University Press, 1990. http://dx.doi.org/10.1017/cbo9781139167932.015.

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Tittman, Jay. "19. Geophysical Well Logging." In Geophysics - Field Measurements. Elsevier, 1987. http://dx.doi.org/10.1016/s0076-695x(08)60604-3.

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"SP (geophysical) (well) logging." In Dictionary Geotechnical Engineering/Wörterbuch GeoTechnik. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-41714-6_196014.

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Conference papers on the topic "Geophysical well logging"

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Zadorozhnyaya, Irina. "Pre-Jurassic Formation Lithological Composition and Reservoir Characteristic Variation Analysis. Core and Field Tests Analysis in Frolovsky and Shaimsky Petroliferous Regions." In SPE Symposium: Petrophysics XXI. Core, Well Logging, and Well Testing. SPE, 2021. http://dx.doi.org/10.2118/208417-ms.

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Abstract Analysis of the lithology of rocks of the pre-Jurassic complex and changes in the reservoir properties of rocks is one of the most important and difficult tasks for the formation of a petrophysical model for the interpretation of well logging data. Despite the long history of geological and geophysical study of deposits of the pre-Jurassic complex, a number of issues related to the reflection in the geophysical parameters of rocks and characteristics of reservoir properties have been studied insufficiently. This is due to the high variability of the lithological composition, textural
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Spirina, Anastasiia, and Evgeniy Cherepanov. "Petroelastic Modeling of Complex Lithology Fields: Case Study." In SPE Symposium: Petrophysics XXI. Core, Well Logging, and Well Testing. SPE, 2021. http://dx.doi.org/10.2118/208423-ms.

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Abstract The present-day growth of petroleum reserves, maintaining and enhancing of oil production is associated with involving of complex fields into production (Uspenskaya, 2014). The complex structure of the study areas of the Urai Region (facies variability, formation replacement, fracturing, crushing and cleavage zones, complicated structure of the pore space) makes conventional forecast of reservoir properties ineffective. Moreover, the pay formations are highly exhausted with high production water cut. Therefore, the search of prospective targets is relevant in the Urai Region. The arti
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Akinshin, Alexander Vadimovich, Mikhail Vladimirovich Dmitrievskiy, Yuliy Dmitrievich Kantemirov, and Kirill Dmitrievich Bobylev. "Automate Well Logging Data Interpretation with Digital Assistant." In SPE Symposium: Petrophysics XXI. Core, Well Logging, and Well Testing. SPE, 2021. http://dx.doi.org/10.2118/208424-ms.

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Abstract Nowadays, digitalization and automation are a common trend for many companies of various areas including the oil and gas production industry. Processes of initial data preliminary analysis (unification, merging, depth shifting) and petrophysical preparation for calculations (lithology differentiation, averaging, measurements calculation etc.) in the framework of geophysical well logging (GWL) data interpretation take a significant amount of time. Incorporation of automation algorithms tuned for specific sediments enables to considerably reduce labour effort what increases the time nee
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Yearsley, E. N., R. E. Crowder, and L. A. Irons. "Monitor Well Completion Evaluation With Geophysical Density Logging." In 3rd EEGS Symposium on the Application of Geophysics to Engineering and Environmental Problems. European Association of Geoscientists & Engineers, 1990. http://dx.doi.org/10.3997/2214-4609-pdb.212.1990_030.

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Makienko, D. O., and I. V. Safonov. "Overview of Open Well Datasets." In 33rd International Conference on Computer Graphics and Vision. Keldysh Institute of Applied Mathematics, 2023. http://dx.doi.org/10.20948/graphicon-2023-710-720.

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Recently, the number of studies devoted to the use of machine learning methods in geophysics has been increasing. Examples of such studies include the prediction of rock properties and separation of rock types according to quantitative characteristics. Annotated datasets are required to build machine learning based models. The purpose of this paper is to review open labeled well datasets and some research used these datasets. Datasets from competitions in machine learning for geophysical problems are analyzed, as well as other publicly available sources of open well data. The paper considers d
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Ferreira, Calvin, Marco Antonio Braga, Marcelo Roberto Barbosa, Maria da Gama, Rafael Guimarães, and Iuri Brandi. "Geophysical well logging applied to an iron cave investigation, Carajás-PA." In International Congress of the Brazilian Geophysical Society&Expogef. Brazilian Geophysical Society, 2019. http://dx.doi.org/10.22564/16cisbgf2019.257.

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Kobr, M., A. Zboril, and T. Chabr. "Contribution of Geophysical Well-Logging Techniques to Evaluation of Water Resources." In 1st EEGS Meeting. European Association of Geoscientists & Engineers, 1995. http://dx.doi.org/10.3997/2214-4609.201407414.

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Yongjie, Lu, Li Yue, Tang Zhengyuan, Xie Jian, and Yan Chuanrong. "Research on Matching Method of Well Logging and Seismic Data." 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/igc2018-123.

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Jansen, John. "Geophysical Well Logging And Pumping Water Column Sampling For Radionuclide Reduction Studies In Municlpal Wells." In 7th EEGS Symposium on the Application of Geophysics to Engineering and Environmental Problems. European Association of Geoscientists & Engineers, 1994. http://dx.doi.org/10.3997/2214-4609-pdb.208.1994_012.

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Jansen, John. "Geophysical Well Logging and Pumping Water Column Sampling for Radionuclide Reduction Studies in Municipal Wells." In Symposium on the Application of Geophysics to Engineering and Environmental Problems 1994. Environment and Engineering Geophysical Society, 1994. http://dx.doi.org/10.4133/1.2922062.

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Reports on the topic "Geophysical well logging"

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Olson, L. C., R. D. Knight, H L Crow, and H. A. J. Russell. Chemostratigraphic logging of the Lower Ordovician and Precambrian, Bells Corners borehole calibration facility, Ottawa, Ontario. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/330519.

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Geochemical data were collected from a 120-meter-deep borehole (BC81-2) located at the Geological Survey of Canada's Bells Corners Borehole Calibration Facility in Ottawa, Ontario. This report documents geochemical data collected for the most frequently logged of the six boreholes located at the facility. The geochemical data were collected using a portable X-ray fluorescence (pXRF) spectrometer with a subset of samples collected for modern laboratory based fusion and multi-acid methods to calibrate the pXRF data for improved accuracy. Borehole geochemistry provides a characterization of Preca
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Brewer, K. D. Water level data from the Bells Corners Borehole Calibration Facility (2019-2021), Ottawa, Ontario. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/330087.

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The Geological Survey of Canada's deep borehole test site at the Bells Corners Borehole Calibration Facility in Ottawa, Ontario, has been in use since the 1980's for the development and calibration of geophysical logging instrumentation. In more recent times, the need for monitored deep borehole sites in Canada is increasingly important for long-term research into groundwater flow through fractured bedrock, and surface to groundwater interaction. In 2019, the facility underwent repairs to reopen deep boreholes, replace surface casings, and install atmospheric monitoring equipment. This report
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Morin, R. H., F. L. Paillet, T. A. Taylor, and W. Barrash. Geophysical logging studies in the Snake River Plain Aquifer at the Idaho National Engineering Laboratory: Wells 44, 45, and 46. Office of Scientific and Technical Information (OSTI), 1993. http://dx.doi.org/10.2172/10156874.

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Ningthoujam, J., J. K. Clark, T. R. Carter, and H. A. J. Russell. Investigating borehole-density, sonic, and neutron logs for mapping regional porosity variation in the Silurian Lockport Group and Salina Group A-1 Carbonate Unit, Ontario. Natural Resources Canada/CMSS/Information Management, 2024. http://dx.doi.org/10.4095/332336.

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The Oil, Gas and Salt Resources Library (OGSRL) is a repository for data from wells licenced under the Oil, Gas and Salt Resources Act for Ontario. It has approximately 50,000 porosity and permeability drill core analyses on bedrock cores. It also has in analogue format, geophysical logs (e.g., gamma ray, gamma-gamma density, neutron, sonic) from approximately 20,000 wells. A significant challenge for geotechnical and hydrogeological studies of the region is the accessibility of digital data on porosity and permeability. Recent work completed on approximately 12,000 core analyses for the Silur
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Calibration and standardization of geophysical well-logging equipment for hydrologic applications. US Geological Survey, 1988. http://dx.doi.org/10.3133/wri884058.

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Results of borehole geophysical logging and aquifer-isolation tests conducted in the John Wagner and Sons, Inc. former production well, Ivyland, Pennsylvania. US Geological Survey, 1997. http://dx.doi.org/10.3133/wri974095.

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Geophysical logging studies in the Snake River Plain Aquifer at the Idaho National Engineering Laboratory; wells 44, 45, and 46. US Geological Survey, 1993. http://dx.doi.org/10.3133/wri924184.

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Results of borehole geophysical logging and hydraulic tests conducted in Area D supply wells, former U.S. Naval Air Warfare Center, Warminster, Pennsylvania. US Geological Survey, 1998. http://dx.doi.org/10.3133/wri984129.

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Geophysical logging to determine construction, contributing zones, and appropriate use of water levels measured in confined-aquifer network wells, San Luis Valley, Colorado, 1998-2000. US Geological Survey, 2002. http://dx.doi.org/10.3133/wri024058.

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