Academic literature on the topic 'Oil fields – Production methods'
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Journal articles on the topic "Oil fields – Production methods"
Mustafaev, K. I. "Development of efficiency increase methods for water injection." Azerbaijan Oil Industry, no. 5 (May 15, 2020): 57–60. http://dx.doi.org/10.37474/0365-8554/2020-5-57-60.
Full textSaurabh Goswami and Dr. T. S. Chouhan. "Evaluation of Artificial Lift Methods to Increase Oil Production from Depleting Oil Wells in Gulf of Mexico." International Journal of Engineering and Management Research 10, no. 5 (October 31, 2020): 137–41. http://dx.doi.org/10.31033/ijemr.10.5.22.
Full textMerlini Giuliani, Caio, and Eduardo Camponogara. "Derivative-free methods applied to daily production optimization of gas-lifted oil fields." Computers & Chemical Engineering 75 (April 2015): 60–64. http://dx.doi.org/10.1016/j.compchemeng.2015.01.014.
Full textRamazanov, D. "Organizational and Economic Problems of Enhanced Oil Recovery in Russian Fields." Voprosy Ekonomiki, no. 8 (August 20, 2007): 123–33. http://dx.doi.org/10.32609/0042-8736-2007-8-123-133.
Full textChudinova, D. Yu, Y. D. B. Atse, R. M. Minniakhmetova, and M. Yu Kotenev. "Classification of residual oil reserves and methods of its recovery." SOCAR Proceedings, no. 2 (June 30, 2021): 26–33. http://dx.doi.org/10.5510/ogp20210200492.
Full textSagbana, Perekaboere Ivy, and Ahmad Sami Abushaikha. "A comprehensive review of the chemical-based conformance control methods in oil reservoirs." Journal of Petroleum Exploration and Production Technology 11, no. 5 (April 17, 2021): 2233–57. http://dx.doi.org/10.1007/s13202-021-01158-6.
Full textSabanina, I. G., T. V. Semenova, Yu Ya Bolshakov, and S. V. Vorobjeva. "The use of data on capillary pressures in the development of deposits in the Middle Ob region." Oil and Gas Studies, no. 4 (September 9, 2021): 61–72. http://dx.doi.org/10.31660/0445-0108-2021-4-61-72.
Full textPonomarenko, Tatyana, Oksana Marinina, Marina Nevskaya, and Kristina Kuryakova. "Developing Corporate Sustainability Assessment Methods for Oil and Gas Companies." Economies 9, no. 2 (April 14, 2021): 58. http://dx.doi.org/10.3390/economies9020058.
Full textDoroshenko, Volodymyr, and Oleksandr Titlov. "Analysis of the directions for improving the development systems for oil fields at the later stage." Technology audit and production reserves 1, no. 1(57) (February 26, 2021): 34–38. http://dx.doi.org/10.15587/2706-5448.2021.225466.
Full textKondrat, O. R., and O. A. Lukin. "HYDRODYNAMIC MODELING AS ONE OF THE DECISION METHODS FOR THE EFFICIENT DEVELOPMENT OF OIL FIELDS." Prospecting and Development of Oil and Gas Fields, no. 4(69) (November 8, 2018): 7–14. http://dx.doi.org/10.31471/1993-9973-2018-4(69)-7-14.
Full textDissertations / Theses on the topic "Oil fields – Production methods"
Pereira, Leandro Augusto Grandin 1981. "Metodologia para seleção de conceitos para plantas de processamento submarino." [s.n.], 2015. http://repositorio.unicamp.br/jspui/handle/REPOSIP/265774.
Full textDissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Mecânica e Instituto de Geociências
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Resumo: O desenvolvimento de campos marítimos de petróleo e gás natural tem se deslocado para águas cada vez mais profundas, ambientes cada vez mais hostis e áreas cada vez mais remotas. A utilização de soluções convencionais para desenvolver tais campos, especialmente o uso exclusivo de processamento primário em superfície e equipamentos elevação artificial instalados dentro de poços pode não justificar os investimentos. O processamento submarino tem aumentado a atratividade ou até viabilizando a produção de campos marítimos. Visto o aumento em sua utilização, os autores propuseram uma metodologia para selecionar conceitos de plantas submarinas para campos de petróleo e gás natural, utilizando informações disponíveis na literatura e suporte de especialistas em tecnologia submarina e modelagem de produção integrada. Uma menor contrapressão no poço produtor é uma potencial consequência do uso de processamento submarino, podendo tornar o perfil de produção mais atrativo. Como consequência, uma abordagem integrada considerando os estudos necessários para avaliar o escoamento dos fluidos de suas fontes iniciais até os destinos finais é necessária para se propor uma metodologia de seleção. Como alternativa à falta de estudos integrados comparando diferentes soluções de desenvolvimento em campos marítimos, informações de quatro desenvolvimentos comerciais que empregaram processamento submarino foram utilizadas para buscar a validação da metodologia. Os resultados destes estudos de caso sugerem que a metodologia é válida, entretanto não é claro que tais desenvolvimentos de produção utilizariam todas as fases propostas
Abstract: The development of offshore oil and natural gas fields has been moving to deeper waters, harsher environments and more remote areas. The use of conventional solutions to develop such fields, especially sole use of surface processing or downhole artificial lift methods, may not justify the investments. Subsea processing has been increasing the attractiveness or even enabling offshore field developments. Given the increase in its use, the authors proposed a methodology to select concepts of subsea processing plants for oil and natural gas fields, using information available in the literature as well as support from specialists in subsea technology and integrated production modelling. Higher drawdown in producer wells is a potential consequence of the use of subsea processing, therefore it may positively impact the production profile. As a consequence, an integrated approach comprising all the studies necessary to assess the flow between the initial sources and the final destinations is necessary to propose a selection methodology. As an alternative to overcome the lack of integrated studies comparing different development solutions in offshore fields, information from four commercial developments that employed subsea processing was used to seek methodology validation. The results of these four case studies suggest that the methodology is valid, although it is not clear if such production developments would utilize all phases proposed
Mestrado
Explotação
Mestra em Ciências e Engenharia de Petróleo
Robelius, Fredrik. "Giant Oil Fields - The Highway to Oil : Giant Oil Fields and their Importance for Future Oil Production." Doctoral thesis, Uppsala University, Department of Nuclear and Particle Physics, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-7625.
Full textSince the 1950s, oil has been the dominant source of energy in the world. The cheap supply of oil has been the engine for economic growth in the western world. Since future oil demand is expected to increase, the question to what extent future production will be available is important.
The belief in a soon peak production of oil is fueled by increasing oil prices. However, the reliability of the oil price as a single parameter can be questioned, as earlier times of high prices have occurred without having anything to do with a lack of oil. Instead, giant oil fields, the largest oil fields in the world, can be used as a parameter.
A giant oil field contains at least 500 million barrels of recoverable oil. Only 507, or 1 % of the total number of fields, are giants. Their contribution is striking: over 60 % of the 2005 production and about 65 % of the global ultimate recoverable reserve (URR).
However, giant fields are something of the past since a majority of the largest giant fields are over 50 years old and the discovery trend of less giant fields with smaller volumes is clear. A large number of the largest giant fields are found in the countries surrounding the Persian Gulf.
The domination of giant fields in global oil production confirms a concept where they govern future production. A model, based on past annual production and URR, has been developed to forecast future production from giant fields. The results, in combination with forecasts on new field developments, heavy oil and oil sand, are used to predict future oil production.
In all scenarios, peak oil occurs at about the same time as the giant fields peak. The worst-case scenario sees a peak in 2008 and the best-case scenario, following a 1.4 % demand growth, peaks in 2018.
Hülse, Eduardo Otte. "Robust production optimization of gas-lifted oil fields." reponame:Repositório Institucional da UFSC, 2015. https://repositorio.ufsc.br/xmlui/handle/123456789/158823.
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Com a crescente demanda por energia fóssil as operadoras petrolíferas têm buscado determinar planos operacionais que otimizam a produção dos campos em operação para satisfazer a demanda do mercado e reduzir os custos operacionais. Neste contexto, a pesquisa operacional tem se mostrado uma importante ferramenta para determinação dos planos de produção de curto prazo para campos de petróleo complexos. Alguns trabalhos já desenvolveram estratégias para a otimização integrada da produção que visam auxiliar engenheiros de produção e operadores a atingir condições de operação ótimas. Estes avanços científicos atestam o potencial da área de otimização integrada da produção de campos, justificando a busca por estratégias de otimização global e integradas de ativos. Contudo, a incerteza dos parâmetros que caracterizam o reservatório, os poços, fluidos e os diversos processos de produção não vem sendo considerada pelos modelos e algoritmos de otimização da produção diária. Considerando os modelos de produção de curto prazo, estas incertezas podem ser atribuídas a erros de medição , comportamento oscilatório dos sistemas, modelos imprecisos, entre outros. A influência da incerteza dos parâmetros em problemas de otimização tem, desde tempos, sido foco da comunidade de programação matemática. E já foi verificado que soluções de problemas de otimização podem apresentar significativa sensibilidade à pertubações nos parâmetros do dado problema, podendo levar a soluções não factíveis, subótimas ou ambas. Assim, buscando tornar as abordagens de otimização existentes mais confiáveis e robustas às incertezas intrínsecas dos sistemas de produção, esta dissertação investiga a modelagem e tratamento de incertezas na otimização diária da produção e propõe formulações em programação matemática para otimização robusta da produção de poços operados por gas-lift. As formulações representam curvas amostradas através de dados simulados ou medidos que refletem as incertezas dos sistemas de produção. Estas representações levam a formulações robustas em programação matemática inteira mista obtidas pela aproximação das curvas de produção através de linearização por partes. Além disso, este trabalho apresenta os resultados de uma analise computacional comparativa da aplicação da formulação robusta e da formulação nominal a um campo de petróleo em ambiente de simulação, porém considerando simuladores multifásicos amplamente empregados pela indústria do petróleo e gás, que representam a fenomenologia muito próximo da realidade. O primeiro capítulo apresenta a problemática em que estão envolvidos os desenvolvimentos realizados nesta dissertação e um resumo dos capítulos subsequentes. No segundo capítulo alguns conceitos fundamentais são apresentados para a compreensão do trabalho desenvolvido. Este capítulo é dividido em três partes. A primeira parte inicia apresentando brevemente a indústria de petróleo e gás com uma perspectiva histórica, econômica e dos processos envolvidos. Na sequência são expostos conceitos básicos de engenharia de petróleo necessários para o entendimento do sistema de produção utilizado ao longo a dissertação  i.e. gas-lift. Finalmente, o problema de otimização da produção é situado dentro do problema maior, que é o gerenciamento completo das operações de um campo de petróleo, seguido de uma revisão da literatura no que se refere a abordagens clássicas para otimização da produção de campos operados por gas-lift. A segunda parte é uma descrição compacta sobre modelagem de problemas de otimização utilizando programação matemática e na menção dos métodos de solução deste tipo de problema utilizados na parte experimental desta dissertação. A terceira parte começa com uma revisão sobre incerteza em problemas de otimização e sobre as decisões de modelagem enfrentadas quando na presença de problemas de otimização incertos. Na sequência o paradigma de otimização robusta é introduzido e é apresentada uma compilação de alguns dos principais resultados da área de otimização robusta linear. Além disso, ao fim, alguns pontos específicos da teoria de otimização robusta são apresentados pela suas relevâncias para o desenvolvimento da teoria dos capítulos seguintes. O terceiro capítulo inicia com uma discussão sobre as origens das incertezas nos modelos de produção para então prover uma revisão bibliográfica dos poucos trabalhos que mencionam ou lidam com incerteza em sistemas de produção. Na sequência, a incerteza é examinada na perspectiva do problema de otimização. Um sistema simples é usado para exemplificar a metodologia de otimização robusta desenvolvida nesta dissertação. O quarto capítulo apresenta dois problemas padrões de otimização da produção, um contendo poços satélites e outro com poços e completação submarina. Para ambos uma formulação em programação linear inteira mista é descrita considerando valores nominais para todos os parâmetros. Então, para cada problema uma reformulação robusta é implementada considerando incerteza nas curvas de produção do poço. A metodologia utilizada para o primeiro problema é a mesma detalhada no capítulo três, e para o segundo uma extensão da metodologia é proposta para poder lidar com restrições de igualdade incertas. No quinto capítulo são apresentados resultados experimentais de um problema de otimização da produção de um campo com poços satélites. Os resultados obtidos com otimização clássica (nominal) e com otimização robusta são então comparados em um campo de produção sintético instanciado em um simulador multifásico comercial. A solução robusta se mostrou indicada para cenários de operação mais críticos onde factibilidade e segurança são prioridade. No capítulo final uma análise dos resultados obtidos na dissertação é feita sob a perspectiva do possível emprego das técnicas desenvolvidas na indústria de óleo e gás. Apesar de à primeira vista os resultados serem conservadores e de sua utilização parecer limitada, existe potencial para a metodologia ser empregada no caso de situações que priorizam segurança. Além disso a metodologia aqui desenvolvida pode servir como ponto inicial para pesquisas e desenvolvimentos futuros. Uma breve descrição de possíveis trabalhos futuros é feita ao final deste capítulo. O apêndice traz a descrição de algoritmos de amostragem de curvas côncavas desenvolvidos para os experimentos numéricos realizados na dissertação.
Abstract : Managing production of complex oil fields with multiple wells and coupled constraints remains a challenge for oil and gas operators. Some technical works developed strategies for integrated production optimization to assist production engineers in reaching best operating conditions. However, these works have neglected the uncertainties in the well-performance curves and production processes, which may have a significant impact on the operating practices. The uncertainties may be attributed to measurement errors, oscillating behavior, and model inaccuracy, among others. To this end, this dissertation investigates how uncertainty might be considered in daily production optimization and proposes formulations in mathematical programming for robust production optimization of gas-lifted oil fields. The formulations represent system-measured and simulated sample curves that reflect the underlying uncertainties of the production system. The representations lead to robust mixed-integer linear programming formulations obtained from piecewise-linear approximation of the production functions. Further, this work presents results from a computational analysis of the application of the robust and nominal formulations to a representative oil fields available in simulation software.
Suwartadi, Eka. "Gradient-based Methods for Production Optimization of Oil Reservoirs." Doctoral thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for teknisk kybernetikk, 2012. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-16584.
Full textAcar, Cagdas. "Enhancing Petroleum Recovery From Heavy Oil Fields By Microwave Heating." Master's thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/12608403/index.pdf.
Full textamurlu (12 API) heavy crude oils and paraffinic Garzan (26 API)crude oil. Using a graphite core holder packed with crushed limestone with crude oil and water microwave effects of operational parameters like heating time and waiting period as well as rock and fluid properties like permeability, porosity, wettability, salinity, and initial water saturation are studied. The main recovery mechanisms for the experiments are viscosity reduction and gravity drainage. An analytical model is developed by coupling heat equation with the electromagnetic dissipated power per unit of volume based in Maxwell'
s equation successfully models the experiments for temperatures less than the pyrolysis temperature is presented. Also the experiments are scaled to the model by geometric similarity concept. In economic evaluation, the cost of oil is calculated based on domestic electricity prices.
Pyakurel, Sandeep. "3D P- and converted shear wave characteristics of the Morrow production trend in the Buffalo Valley field, Chaves-Eddy County, New Mexico." Morgantown, W. Va. : [West Virginia University Libraries], 2005. https://eidr.wvu.edu/etd/documentdata.eTD?documentid=4256.
Full textTitle from document title page. Document formatted into pages; contains xi, 145 p. : ill. (some col.), maps (some col.). Includes abstract. Includes bibliographical references (p. 141-145).
Persson, Jan A. "Production scheduling and shipment planning at oil refineries: optimization based methods /." Linköping : Univ, 2002. http://www.bibl.liu.se/liupubl/disp/disp2002/tek742s.pdf.
Full textFan, Xiaohu. "Optimization of biodiesel production from crude cottonseed oil and waste vegetable oil conventional and ultrasonic irradiation methods /." Connect to this title online, 2008. http://etd.lib.clemson.edu/documents/1239895502/.
Full textAllen, Andrew J. "Combining Machine Learning and Empirical Engineering Methods Towards Improving Oil Production Forecasting." DigitalCommons@CalPoly, 2020. https://digitalcommons.calpoly.edu/theses/2223.
Full textKaya, Egemen Tangut. "Estimation Of Expected Monetary Values Of Selected Turkish Oil Fields Using Two Different Risk Assessment Methods." Master's thesis, METU, 2004. http://etd.lib.metu.edu.tr/upload/1091495/index.pdf.
Full textmost likely&rdquo
results of variables that could be expected without sufficient consideration given to other possible outcomes and it is well known that initial estimates of all these variables have uncertainty. The data is usually obtained during drilling of the initial oil well and the sources are geophysical (seismic surveys) for formation depths and areal extent of the reservoir trap, well logs for formation tops and bottoms, formation porosity, water saturation and possible permeable strata, core analysis for porosity and saturation data and DST (Drill-Stem Test) for possible oil production rates and samples for PVT (Pressure Volume Temperature) analysis to obtain FVF (Formation Volume Factor) and others. The question is how certain are the values of these variables and what is the probability of these values to occur in the reservoir to evaluate the possible risks. One of the most highly appreciable applications of the risk assessment is the estimation of volumetric reserves of hydrocarbon reservoirs. Monte Carlo and moment technique consider entire ranges of the variables of Original Oil in Place (OOIP) formula rather than deterministic figures. In the present work, predictions were made about how statistical distribution and descriptive statistics of porosity, thickness, area, water saturation, recovery factor, and oil formation volume factor affect the simulated OOIP values. The current work presents the case of two different oil fields in Turkey. It was found that both techniques produce similar results for 95%. The difference between estimated values increases as the percentages decrease from 50% and 5% probability.
Books on the topic "Oil fields – Production methods"
D, Hill A., and Ehlig-Economides Christine, eds. Petroleum production systems. Englewood Cliffs, N.J: PTR Prentice Hall, 1994.
Find full textAmerican Association of Petroleum Geologists, ed. Oil field production geology. Tulsa, Okla: American Association of Petroleum Geologists, 2009.
Find full textPetroleum production systems. 2nd ed. Upper Saddle River, NJ: Prentice Hall, 2013.
Find full textManyrin, V. N. Fiziko-khimicheskie metody uvelichenii︠a︡ nefteotdachi pri zavodnenii. Samara: Samarskiĭ Dom pechati, 2002.
Find full text1946-, Borchardt John K., Yen Teh Fu 1927-, American Chemical Society. Division of Petroleum Chemistry., American Chemical Society. Division of Geochemistry., and American Chemical Society Meeting, eds. Oil field chemistry: Enhanced recovery and production stimulation. Washington, DC: American Chemical Society, 1989.
Find full textNikulin, A. V. Problemy osvoenii︠a︡ trudnoizvlekaemykh zapasov nefti Permskogo Priuralʹi︠a︡. Moskva: Akademii︠a︡ nauk SSSR, In-t geologii i razrabotki gori︠u︡chikh iskopaemykh, 1988.
Find full textBalakirov, I͡Uriĭ Aĭrapetovich. Povyshenie proizvoditelʹnosti nefti͡anykh plastov i skvazhin. Kiev: "Tekhnika", 1985.
Find full textLysenko, V. D. Problemy proektirovanii͡a︡ razrabotki nefti͡a︡nykh mestorozhdeniĭ. Moskva: VNIIOĖNG, 1994.
Find full textPersii︠a︡nt︠s︡ev, M. N. Povyshenie stepeni izvlechenii︠a︡ nefti iz zalezheĭ, nakhodi︠a︡shchikhsi︠a︡ na zavershai︠u︡shcheĭ stadii razrabotki i oslozhnennykh uslovii︠a︡kh. Ufa: Izdatelʹstvo UGNTU, 2010.
Find full textMark, Cook, and Graham Mark, eds. Hydrocarbon exploration and production. 2nd ed. Amsterdam: Elsevier, 2008.
Find full textBook chapters on the topic "Oil fields – Production methods"
Sharipov, M. I. "Development of a Method for Controlling the Production Process in Oil and Gas Fields Using Neural Networks." In Lecture Notes in Electrical Engineering, 3–14. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71119-1_1.
Full textParveez, Ghulam Kadir Ahmad, and Bohari Bahariah. "Biolistic-Mediated Production of Transgenic Oil Palm." In Methods in Molecular Biology, 163–75. Totowa, NJ: Humana Press, 2012. http://dx.doi.org/10.1007/978-1-61779-558-9_14.
Full textKadir Ahmad Parveez, Ghulam. "Biolistic Mediated Production of Transgenic Oil Palm." In Methods In Molecular Biology, 301–20. Totowa, NJ: Humana Press, 2008. http://dx.doi.org/10.1007/978-1-60327-517-0_23.
Full textZoback, Mark D., and Jens C. Zinke. "Production-induced Normal Faulting in the Valhall and Ekofisk Oil Fields." In The Mechanism of Induced Seismicity, 403–20. Basel: Birkhäuser Basel, 2002. http://dx.doi.org/10.1007/978-3-0348-8179-1_17.
Full textIvanov, Donat, Sergey Kapustyan, Anatoly Kalyaev, and Iakov Korovin. "Decision Support Systems for the Oil Fields with Cloud Multiagent Service." In Computational Statistics and Mathematical Modeling Methods in Intelligent Systems, 16–23. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-31362-3_3.
Full textYue, Yang, and Sudhagar Mani. "The Impacts of Biomass Pretreatment Methods on Bio-oil Production." In Biomass Preprocessing and Pretreatments for Production of Biofuels, 126–63. Boca Raton, FL : CRC Press, Taylor & Francis Group, [2018] | "A science publishers book.": CRC Press, 2018. http://dx.doi.org/10.1201/9781315153735-6.
Full textFilimonov, M. Yu, and N. A. Vaganova. "Simulation of Technogenic and Climatic Influences in Permafrost for Northern Oil Fields Exploitation." In Finite Difference Methods,Theory and Applications, 185–92. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-20239-6_18.
Full textDakhnova, M. V., S. M. Gurieva, and E. N. Shkutnik. "On the Distribution of Hydrogen Sulphide in the Carbonate Oil and Gas Fields of the Russian Platform." In Generation, Accumulation and Production of Europe’s Hydrocarbons III, 337–42. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-77859-9_27.
Full textStavtsev, A. L., and O. I. Karasev. "New methods and technologies for forecasting onshore and offshore oil and gas fields." In Remote sensing: an operational technology for the mining and petroleum industries, 141–43. Dordrecht: Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-010-9744-4_14.
Full textTuisku, Tuula. "Surviving in the Oil Age." In Social and Environmental Impacts in the North: Methods in Evaluation of Socio-Economic and Environmental Consequences of Mining and Energy Production in the Arctic and Sub-Arctic, 449–61. Dordrecht: Springer Netherlands, 2003. http://dx.doi.org/10.1007/978-94-007-1054-2_32.
Full textConference papers on the topic "Oil fields – Production methods"
Yang, Dao-yong, Qi Zhang, Ling Fan, Bing-sheng Bao, Guo-qiang Feng, and Hong-ting Liu. "Determination of Production Operation Methods in Pubei Oil Field." In SPE Western Regional Meeting. Society of Petroleum Engineers, 1999. http://dx.doi.org/10.2118/54637-ms.
Full textУмаев, А. А., А.-М. Б. Измаилов, Т.-А. У. Мусаев, and А. Ш. Халадов. "DEVELOPMENT OF METHODS OF INCREASING OIL RECOVERY OF FIELDS IN THE CHECHEN REPUBLIC." In «АКТУАЛЬНЫЕ ВОПРОСЫ СОВРЕМЕННОЙ НАУКИ: ТЕОРИЯ, ТЕХНОЛОГИЯ, МЕТОДОЛОГИЯ И ПРАКТИКА». Международная научно-практическая онлайн-конференция, приуроченная к 60-ти летию член-корреспондента Академии наук ЧР, доктора технических наук, профессора Сайд-Альви Юсуповича Муртазаева. Crossref, 2021. http://dx.doi.org/10.34708/gstou.conf..2021.37.50.022.
Full textUzcategui, Elio Antonio, and Hebert Ramon Vasquez. "An Improved Method for Heavy Oil Fields Production and Cost Optimization." In SPE Latin America Petroleum Engineering Conference. Society of Petroleum Engineers, 1990. http://dx.doi.org/10.2118/21127-ms.
Full textPergament, A. K., V. A. Semiletov, and P. Y. Tomin. "Multiscale Method for Numerical Simulation of Multiphase Flows in Giant Production Fields." In 12th European Conference on the Mathematics of Oil Recovery. Netherlands: EAGE Publications BV, 2010. http://dx.doi.org/10.3997/2214-4609.20145017.
Full textA. Malyshev, G., V. P. Sonich, and D. F. Sedach. "Current statue and prospects of EOR methods and oil production - intensification in the fields of OJSC "Surgutneftegaz." In 63rd EAGE Conference & Exhibition. European Association of Geoscientists & Engineers, 2001. http://dx.doi.org/10.3997/2214-4609.201405978.
Full textMalyshev, G. A., V. P. Sonich, and D. F. Sedach. "Current Statue and Prospects of EOR Methods and Oil Production - Intensification in the Fields of OJSC "SURGUTNEFTEGAZ." In 63rd EAGE Conference & Exhibition. European Association of Geoscientists & Engineers, 2001. http://dx.doi.org/10.3997/2214-4609-pdb.15.ior-16.
Full textIfelebuegu, Augustine O., and Zydan H. Zydan. "Field Evaluation of Improved Oil Recovery Methods in a Libyan Oilfield." In SPE/AAPG Africa Energy and Technology Conference. SPE, 2016. http://dx.doi.org/10.2118/afrc-2544230-ms.
Full textDiyashev, R. N., and A. F. Blinov. "Effect of Fluid Volume and Production Rate on Oil Recovery in Oil Field Development by Waterflooding Methods (Russian)." In SPE Russian Oil and Gas Technical Conference and Exhibition. Society of Petroleum Engineers, 2008. http://dx.doi.org/10.2118/117382-ru.
Full textDada, M. A., and M. Mellal. "Application Of Machine Learning Techniques And Genetic Algorithms Methods To Oil Reservoir Development And Production Op." In EAGE/TNO Workshop on OLYMPUS Field Development Optimization. Netherlands: EAGE Publications BV, 2018. http://dx.doi.org/10.3997/2214-4609.201802303.
Full textBolychev, E. A., Natalia Vladimirovna Konstantinova, E. Ya Muslimov, I. K. Shayhutdinov, and E. M. Makarov. "Process of Selecting and Testing Well Lower Completion Methods for Russkoe Field Poorly Consolidated Rock Conditions (Russian)." In SPE Russian Oil and Gas Exploration and Production Technical Conference and Exhibition. Society of Petroleum Engineers, 2012. http://dx.doi.org/10.2118/161975-ru.
Full textReports on the topic "Oil fields – Production methods"
Richard C. Russell. The Use of Acid Stimulation for Restoring to Production Shut-in OIl Fields. Office of Scientific and Technical Information (OSTI), March 2005. http://dx.doi.org/10.2172/850159.
Full textJones, Nicole S., and Gerald LaPorte. 2017 National Institute of Justice Forensic Science Research and Development Symposium. RTI Press, May 2017. http://dx.doi.org/10.3768/rtipress.2017.cp.0004.1705.
Full textJones, Nicole S. 2018 National Institute of Justice Forensic Science Research and Development Symposium. RTI Press, April 2018. http://dx.doi.org/10.3768/rtipress.2018.cp.0007.1804.
Full textJones, Nicole S., and Erica Fornaro, eds. 2019 National Institute of Justice Forensic Science Research and Development Symposium. RTI Press, February 2019. http://dx.doi.org/10.3768/rtipress.2018.cp.0009.1902.
Full textJones, Nicole S., and Erica Fornaro, eds. 2020 National Institute of Justice Forensic Science Research and Development Symposium. RTI Press, March 2020. http://dx.doi.org/10.3768/rtipress.2020.cp.0012.2003.
Full textJones, Nicole S., and Erica Fornaro. 2021 National Institute of Justice Forensic Science Research and Development Symposium. RTI Press, April 2021. http://dx.doi.org/10.3768/rtipress.2021.cp.0013.2104.
Full textAldendifer, Elise, McKenzie Coe, Taylor Faught, Ian Klein, Peter Kuylen, Keeli Lane, Robert Loughran, et al. The Safe and Efficient Development of Offshore Transboundary Hydrocarbons: Best Practices from the North Sea and Their Application to the Gulf of Mexico. Edited by Gabriel Eckstein. Texas A&M University School of Law Program in Energy, Environmental, & Natural Resource Systems, September 2019. http://dx.doi.org/10.37419/eenrs.offshoretransboundaryhydrocarbons.
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