Academic literature on the topic 'Well productivity,productivity index'
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Journal articles on the topic "Well productivity,productivity index"
Wang, Shaojun, and Joe Eaton. "Predicting Productivity Index of Horizontal Wells." Journal of Energy Resources Technology 129, no. 2 (November 2, 2006): 89–95. http://dx.doi.org/10.1115/1.2718577.
Full textAulisa, Eugenio, Lidia Bloshanskaya, and Akif Ibragimov. "Well productivity index for compressible fluids and gases." Evolution Equations and Control Theory 5, no. 1 (March 2016): 1–36. http://dx.doi.org/10.3934/eect.2016.5.1.
Full textWang, Mingxian, Zifei Fan, Lun Zhao, Guoqiang Xing, Wenqi Zhao, and Chengqian Tan. "Productivity analysis for a horizontal well with multiple reorientation fractures in an anisotropic reservoir." Oil & Gas Science and Technology – Revue d’IFP Energies nouvelles 75 (2020): 80. http://dx.doi.org/10.2516/ogst/2020078.
Full textAbdul Manan, Faid, Muhammad Buce Saleh, I. Nengah Surati Jaya, and Uus Saepul Mukarom. "Algorithm for assessing forest stand productivity index using leaf area index." Indonesian Journal of Electrical Engineering and Computer Science 16, no. 3 (December 1, 2019): 1311. http://dx.doi.org/10.11591/ijeecs.v16.i3.pp1311-1319.
Full textTzeremes, Panayiotis, and Nickolaos G. Tzeremes. "Productivity in the Hotel Industry: An Order-α Malmquist Productivity Indicator." Journal of Hospitality & Tourism Research 45, no. 1 (November 24, 2020): 133–50. http://dx.doi.org/10.1177/1096348020974419.
Full textOaikhena, E. Emmanuel, and J. Oloro. "A Comparative Study of the Productivity Index of Horizontal Well." Greener Journal of Petroleum and Gas Exploration 1, no. 1 (September 20, 2013): 007–19. http://dx.doi.org/10.15580/gjpge.2013.1.120112308.
Full textWang, Shuozhen, Shuoliang Wang, Chunlei Yu, and Haifeng Liu. "Single Well Productivity Prediction Model for Fracture-Vuggy Reservoir Based on Selected Seismic Attributes." Energies 14, no. 14 (July 8, 2021): 4134. http://dx.doi.org/10.3390/en14144134.
Full textDavletbakova, L. A., S. I. Gabitova, V. Yu Klimov, D. V. Shuvaev, I. Ya Edelman, and S. А. Shmidt. "A new method for monitoring wells productivity index dynamics." PROneft’. Proffessional’no o nefti 6, no. 2 (June 30, 2021): 33–38. http://dx.doi.org/10.51890/2587-7399-2021-6-2-33-38.
Full textNartey, Sarah Beatson, Kofi A. Osei, and Emmanuel Sarpong-Kumankoma. "Bank productivity in Africa." International Journal of Productivity and Performance Management 69, no. 9 (May 23, 2019): 1973–97. http://dx.doi.org/10.1108/ijppm-09-2018-0328.
Full textNaz, Farah, Hafsa Khan, and Madeeha Sayyed. "Productivity and Efficiency Analysis of Pakistani Textile Industry using Malmquist Productivity Index Approach." Journal of Management and Research 4, no. 2 (December 2, 2019): 1–23. http://dx.doi.org/10.29145//jmr/42/040203.
Full textDissertations / Theses on the topic "Well productivity,productivity index"
Trotter, Vinessa Kaye. "The Relationship Between Psychological Well-Being and Work Productivity: Validation of the OQ Productivity Index." BYU ScholarsArchive, 2008. https://scholarsarchive.byu.edu/etd/1867.
Full textNunsavathu, Upender Naik. "Productivity index of multilateral wells." Morgantown, W. Va. : [West Virginia University Libraries], 2006. https://eidr.wvu.edu/etd/documentdata.eTD?documentid=4702.
Full textTitle from document title page. Document formatted into pages; contains xi, 106 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 104-106).
Khalmanova, Dinara Khabilovna. "A mathematical model of the productivity index of a well." Diss., Texas A&M University, 2004. http://hdl.handle.net/1969.1/301.
Full textLarochelle, Catherine. "Three essays on productivity and risk, marketing decisions, and changes in well-being over time." Diss., Virginia Tech, 2011. http://hdl.handle.net/10919/40379.
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LTRA-7 (Pathways to CAPS in the Andes)
Carrillo, Arturo Naisa Veronica. "Integração de dados para analise de desempenho de poços de petroleo." [s.n.], 2008. http://repositorio.unicamp.br/jspui/handle/REPOSIP/263349.
Full textDissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Mecanica, Instituto de Geociencias
Made available in DSpace on 2018-08-12T14:10:01Z (GMT). No. of bitstreams: 1 CarrilloArturo_NaisaVeronica_M.pdf: 9285828 bytes, checksum: cea4b1d24498e3db795cf1baac36b0bb (MD5) Previous issue date: 2008
Resumo: Neste trabalho é proposto um parâmetro, denominado de índice de desempenho do sistema, que permite estudar o desempenho de poços de petróleo. Um diferencial deste parâmetro é que ele utiliza dados reais e abundantes de campo que são medidos periodicamente. Tal índice permite, por exemplo, avaliar o desempenho e as tecnologias utilizadas nos poços. Usando este índice, verificou-se a influência da geometria do poço para um mesmo campo e uma mesma zona produtora, comparando o desempenho dos poços verticais, direcionais e horizontais. Comparou-se também o desempenho do tipo de contenção de areia para esse mesmo campo e essa mesma zona produtora. Os dados utilizados neste trabalho foram gentilmente fornecidos pela Petrobras.
Abstract: In this work a new parameter called the System Performance Index is proposed, which allows a more profound study of the performance of petroleum wells. An outstanding characteristic of this parameter is that it uses a large amount of field data measured periodically. This index allows the assessing of the performance and technologies used in the wells. This study presents a comparison of the performance of vertical, directional and horizontal wells. The sand control technologies used in the wells are also evaluated. Finally, the proposed parameter enables a practical analysis that can be implemented as a strategic tool for oilfield, performance and optimization studies. Data used in this work were kindly supplied by Petrobras.
Mestrado
Explotação
Mestre em Ciências e Engenharia de Petróleo
Ariza, Sergio Fernando Celis. "Estudos de aplicação de um novo parâmetro para análise de desempenho de sistemas de produção de petróleo." [s.n.], 2011. http://repositorio.unicamp.br/jspui/handle/REPOSIP/263245.
Full textDissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Mecânica e Instituto de Geociências
Made available in DSpace on 2018-08-18T21:00:39Z (GMT). No. of bitstreams: 1 Ariza_SergioFernandoCelis_M.pdf: 2311163 bytes, checksum: 205045ed370e2fb450b8b874b521846b (MD5) Previous issue date: 2011
Resumo: O avanço tecnológico na instrumentação de poços de petróleo tem proporcionado um vasto volume de dados. A análise desses dados pode fornecer uma importante contribuição aos projetos de futuras instalações de produção. Para esta finalidade é necessário organizar e integrar informações que se encontram em diferentes setores, referentes ao poço, ao reservatório e às linhas de escoamento. Este processo de interpretação de dados requer o desenvolvimento de ferramentas e de métodos de análise. O Índice de Desempenho do Escoamento (IDE) é um parâmetro operacional que serve de instrumentação para estudar o desempenho das instalações de poços de petróleo utilizando os dados abundantes de campo que são medidos periodicamente em tempo real. O IDE permite, por exemplo, avaliar o desempenho das tecnologias empregadas nos poços. Neste trabalho, estuda-se o potencial de aplicação do IDE para poços que operam com gas-lift. O IDE é utilizado para verificar a influência da geometria do poço, comparar o desempenho de poços horizontais, verticais e direcionais em um mesmo campo e zona produtora, para comparar o tipo de contenção de areia, para identificar a presença de problemas no sistema de produção e no auxilio ao diagnóstico de tais problemas
Abstract: Technological advances in oil wells instrumentation have provided a volume of important data. The Analysis of these data can provide an important contribution to the projects of future production facilities. For this purpose is necessary to organize and to integrate information that are in different sectors, referring to the well, reservoir and flow lines. This process of data interpretation requires the development of tools and methods of analysis. The Flow Performance Index (FPI) is an operational parameter that can used to study the performance of oil wells facilities using the field abundant data which are measured periodically in real time. For example, the FPI allows assessment the technologies performance employed in the wells. In the present study, examines the FPI application potential for wells that operate with gas-lift. The IDE is used to verify the influence of well geometry to compare the performance of horizontal, vertical and directional wells for the same field and same producing area. The FPI is employed to compare the performance of the type of sand control technologic. The FPI is applied in identification of problems presence in the production system and in the aid to diagnosis these problems
Mestrado
Explotação
Mestre em Ciências e Engenharia de Petróleo
Adesokan, Muhideen Bolaji. "Overcoming unboundedness in Malmquist productivity measures : emprical tests of the mamquist total factor productivity index." Thesis, University of Leicester, 2007. http://hdl.handle.net/2381/31122.
Full textChen, Guanlu. "Calculation of well productivity by analytical and numerical simulators." Thesis, Heriot-Watt University, 1995. http://hdl.handle.net/10399/1313.
Full textLu, Jing. "A Mathematical Model of Horizontal Wells Productivity and Well Testing Analysis." Thesis, Virginia Tech, 1998. http://hdl.handle.net/10919/37018.
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Vågenes, Karianne Skårnes. "Completion Design Review with Focus on Well Integrity and Productivity." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for petroleumsteknologi og anvendt geofysikk, 2012. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-19409.
Full textBooks on the topic "Well productivity,productivity index"
Maniadakis, Nikolaos. A cost malmquist type productivity index. Coventry: University of Warwick. Warwick Business School Research Bureau, 1997.
Find full textL, Cooper Cary, ed. Well-being: Productivity and happiness at work. Basingstoke, Hampshire [England]: Palgrave Macmillan, 2011.
Find full textTomer, John F. Organizational capital: The path to higher productivity and well-being. New York: Praeger, 1987.
Find full textDorris, Tamara. Well @ work: The corporate companion for good health and productivity. Sacramento, Calif: Empowered Press Pub., 2003.
Find full textKai, Sun, and Ghalambor Ali, eds. Well productivity handbook: Vertical, fractured, horizontal, multilateral, and intelligent wells. Houston, TX: Gulf Pub., 2008.
Find full textHammer, R. D. A soil-based productivity index to assess surface mine reclamation. S.l: s.n, 1992.
Find full textEhui, Simeon K. Measuring productivity in African agriculture: A survey of applications of the superlative index numbers approach. Nairobi: International Livestock Research Institute, 2002.
Find full textGood, David H. Index number and factor demand approaches to the estimation of productivity. Cambridge, MA: National Bureau of Economic Research, 1996.
Find full textStoneman, Paul. Productivity in UK manufacturing: Double deflation and a real cost index. Coventry: University of Warwick, Warwick Business School Research Bureau, 1992.
Find full textPayandeh, Bijan. Application of basal area index in the yield estimation of boreal mixedwood cover types. Sault Ste. Marie, Ont: Great Lakes Forestry Centre, 1996.
Find full textBook chapters on the topic "Well productivity,productivity index"
Castells-Quintana, David. "Productivity." In Encyclopedia of Quality of Life and Well-Being Research, 5079–81. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-007-0753-5_2274.
Full textMody, Rustom K., and Martin P. Coronado. "Multilateral Wells: Maximizing Well Productivity." In Pumps and Pipes, 71–86. Boston, MA: Springer US, 2010. http://dx.doi.org/10.1007/978-1-4419-6012-2_7.
Full textTone, Kaoru, and Miki Tsutsui. "MALMQUIST PRODUCTIVITY INDEX MODELS." In Advances in DEA Theory and Applications, 40–56. Chichester, UK: John Wiley & Sons, Ltd, 2017. http://dx.doi.org/10.1002/9781118946688.ch6.
Full textPrasada Rao, D. S. "Index Numbers and Productivity Measurement." In Handbook of Production Economics, 1–65. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-10-3450-3_8-1.
Full textCoelli, Tim, D. S. Prasada Rao, and George E. Battese. "Index Numbers and Productivity Measurement." In An Introduction to Efficiency and Productivity Analysis, 69–97. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5493-6_4.
Full text"Index." In Well Productivity Handbook, 237–42. Elsevier, 2019. http://dx.doi.org/10.1016/b978-0-12-818264-2.20001-8.
Full text"Index." In Well Productivity Handbook, 329–34. Elsevier, 2008. http://dx.doi.org/10.1016/b978-1-933762-32-6.50020-x.
Full text"Transient Productivity Index for Numerical Well Test Simulations." In Reservoir Characterization—Recent Advances, 163–74. American Association of Petroleum Geologists, 1999. http://dx.doi.org/10.1306/m711c11.
Full text"Index." In Productivity, 179–84. Agenda Publishing, 2020. http://dx.doi.org/10.2307/j.ctv103xdcd.13.
Full textWisniewski, Piotr. "The Management and Performance of Social Media Initial Public Offerings (IPOs)." In Analyzing the Strategic Role of Social Networking in Firm Growth and Productivity, 1–21. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-0559-4.ch001.
Full textConference papers on the topic "Well productivity,productivity index"
Saputelli, Luigi, Jorge Perez, Alejandro Chacon, Carlos Lopez, Jose Patino, and Mauricio Eggenschwiler. "Well Productivity Index Degradation: Applied Modeling Workflow." In SPE Annual Technical Conference and Exhibition. Society of Petroleum Engineers, 2010. http://dx.doi.org/10.2118/133452-ms.
Full textKozhevnikov, Dmitry, Kazimir Kovalenko, and Ivan Deshenenkov. "Clastic Reservoirs Productivity Index Estimation with Well Log Data." In SPE Asia Pacific Oil and Gas Conference and Exhibition. Society of Petroleum Engineers, 2013. http://dx.doi.org/10.2118/165771-ms.
Full textPosvyanskii, D., and A. Novikov. "Calculation of Well Productivity Index in Stochastic Porous Media." In ECMOR XVII. European Association of Geoscientists & Engineers, 2020. http://dx.doi.org/10.3997/2214-4609.202035114.
Full textGruzdev, A. P., V. N. Babov, A. V. Kosarev, Y. P. Simonov, I. V. Simon, and A. S. Semenikhin. "Well Productivity Index Determination Based on Artificial Neural Networks." In GeoBaikal 2020. European Association of Geoscientists & Engineers, 2020. http://dx.doi.org/10.3997/2214-4609.202052038.
Full textGruzdev, A., V. Babov, Y. Simonov, A. Kosarev, I. Simon, V. Koryabkin, and A. Semenikhin. "The Well Productivity Index Determination Based on Machine Learning Approaches." In First EAGE Digitalization Conference and Exhibition. European Association of Geoscientists & Engineers, 2020. http://dx.doi.org/10.3997/2214-4609.202032094.
Full textCrafton, J. W. "Oil and Gas Well Evaluation Using the Reciprocal Productivity Index Method." In SPE Production Operations Symposium. Society of Petroleum Engineers, 1997. http://dx.doi.org/10.2118/37409-ms.
Full textLee, S. H., and W. J. Milliken. "The Productivity Index of an Inclined Well in Finite-Difference Reservoir Simulation." In SPE Symposium on Reservoir Simulation. Society of Petroleum Engineers, 1993. http://dx.doi.org/10.2118/25247-ms.
Full textPestrikov, A. V., A. R. Basharov, and M. N. Kravchenko. "Fractured Well Productivity Index Reduction Caused by the Presence of Damaged Zone." In Saint Petersburg 2010. Netherlands: EAGE Publications BV, 2010. http://dx.doi.org/10.3997/2214-4609.20145511.
Full textCho, Hyun, and Subhash N. Shah. "Prediction of Specific Productivity Index for Long Horizontal Wells." In SPE Production and Operations Symposium. Society of Petroleum Engineers, 2001. http://dx.doi.org/10.2118/67237-ms.
Full textAl Gahtani, Abdallah Mobarak. "A New Productivity Index Formula for ESP-Lifted Wells." In SPE Middle East Oil and Gas Show and Conference. Society of Petroleum Engineers, 2011. http://dx.doi.org/10.2118/141984-ms.
Full textReports on the topic "Well productivity,productivity index"
Good, David, M. Ishaq Nadiri, and Robin Sickles. Index Number and Factor Demand Approaches to the Estimation of Productivity. Cambridge, MA: National Bureau of Economic Research, October 1996. http://dx.doi.org/10.3386/w5790.
Full textCurtis, Trisha, and Benjamin Montalbano. Completion Design Changes and the Impact on US Shale Well Productivity. Oxford Institute for Energy Studies, November 2017. http://dx.doi.org/10.26889/ei212017.
Full textConnolly, Carol, Marian Ruderman, and Jean Leslie. Sleep well, lead well: How better sleep can improve leadership, boost productivity, and spark innovation. Center for Creative Leadership, May 2014. http://dx.doi.org/10.35613/ccl.2014.1011.
Full textYépez, Ariel, Luis San Vicente Portes, and Santiago Guerrero. Productivity and Energy Intensity in Latin America. Inter-American Development Bank, April 2021. http://dx.doi.org/10.18235/0003219.
Full textPitt, Mark, Mark Rosenzweig, and Nazmul Hassan. Identifying the Cost of a Public Health Success: Arsenic Well Water Contamination and Productivity in Bangladesh. Cambridge, MA: National Bureau of Economic Research, November 2015. http://dx.doi.org/10.3386/w21741.
Full textLemos, Renata, Karthik Muralidharan, and Daniela Scur. Personnel Management and School Productivity: Evidence from India. Research on Improving Systems of Education (RISE), February 2021. http://dx.doi.org/10.35489/bsg-rise-wp_2021/063.
Full textOsidoma, Japhet, and Ashiru Mohammed Kinkwa. Creatively Improving Agricultural Practices and Productivity: Pro Resilience Action (PROACT) project, Nigeria. Oxfam, February 2021. http://dx.doi.org/10.21201/2021.7260.
Full textTúñez López, M., MY Martínez Solana, and KP Valerezo González. Analysis of the productivity, impact, and collective h-index of the communication research carried out in Spain based on the information shared by researchers in their individual Google Scholar profiles. Revista Latina de Comunicación Social, RLCS, October 2014. http://dx.doi.org/10.4185/rlcs-2014-1030en.
Full textNin Pratt, Alejandro, and Héctor Valdés Conroy. After the Boom: Agriculture in Latin America and the Caribbean. Inter-American Development Bank, December 2020. http://dx.doi.org/10.18235/0002955.
Full textHamann, Franz, Cesar Anzola, Oscar Avila-Montealegre, Juan Carlos Castro-Fernandez, Anderson Grajales-Olarte, Alexander Guarín, Juan C. Mendez-Vizcaino, Juan J. Ospina-Tejeiro, and Mario A. Ramos-Veloza. Monetary Policy Response to a Migration Shock: An Analysis for a Small Open Economy. Banco de la República de Colombia, January 2021. http://dx.doi.org/10.32468/be.1153.
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