Academic literature on the topic 'Petrophysical interpretation'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Petrophysical interpretation.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Journal articles on the topic "Petrophysical interpretation"
Toumelin, Emmanuel, Carlos Torres-Verdin, and Nicola Bona. "Improving Petrophysical Interpretation With Wide-Band Electromagnetic Measurements." SPE Journal 13, no. 02 (June 1, 2008): 205–15. http://dx.doi.org/10.2118/96258-pa.
Full textRybakov, M., V. Goldshmidt, Y. Rotstein, L. Fleischer, and I. Goldberg. "Petrophysical constraints on gravity / magnetic interpretation in Israel." Leading Edge 18, no. 2 (February 1999): 269–72. http://dx.doi.org/10.1190/1.1438274.
Full textSuhail, Ahmed Abdulwahhab, Mohammed H. Hafiz, and Fadhil S. Kadhim. "Petrophysical Properties of Nahr Umar Formation in Nasiriya Oil Field." Iraqi Journal of Chemical and Petroleum Engineering 21, no. 3 (September 30, 2020): 9–18. http://dx.doi.org/10.31699/ijcpe.2020.3.2.
Full textMaksimova, E. N., E. G. Viktorov, E. O. Belyakov, and B. V. Belozerov. "SOCIETY OF PETROPHYSICISTS. ONLINE-PLATFORM FOR KNOWLEDGE MANAGEMENT AND SHARING." Энергия: экономика, техника, экология, no. 4 (2020): 87–92. http://dx.doi.org/10.7868/s2587739920040138.
Full textHeidari, Zoya, and Carlos Torres-Verdín. "Inversion-based detection of bed boundaries for petrophysical evaluation with well logs: Applications to carbonate and organic-shale formations." Interpretation 2, no. 3 (August 1, 2014): T129—T142. http://dx.doi.org/10.1190/int-2013-0172.1.
Full textSari, 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 (October 28, 2019): 31–37. http://dx.doi.org/10.32722/arcee.v1i01.1955.
Full textIjasan, Olabode, Carlos Torres-Verdín, William E. Preeg, John Rasmus, and Edward Stockhausen. "Field examples of the joint petrophysical inversion of resistivity and nuclear measurements acquired in high-angle and horizontal wells." GEOPHYSICS 79, no. 3 (May 1, 2014): D145—D159. http://dx.doi.org/10.1190/geo2013-0355.1.
Full textYeltsov, I. N., G. V. Nesterova, and A. A. Kashevarov. "Petrophysical interpretation of time-lapse electromagnetic sounding in wells." Russian Geology and Geophysics 52, no. 6 (June 2011): 668–75. http://dx.doi.org/10.1016/j.rgg.2011.05.009.
Full textHeidari, Zoya, Carlos Torres-Verdín, and William E. Preeg. "Improved estimation of mineral and fluid volumetric concentrations in thinly bedded carbonate formations." GEOPHYSICS 78, no. 4 (July 1, 2013): D261—D269. http://dx.doi.org/10.1190/geo2012-0438.1.
Full textWu, Wenting, and Dario Grana. "Integrated petrophysics and rock physics modeling for well log interpretation of elastic, electrical, and petrophysical properties." Journal of Applied Geophysics 146 (November 2017): 54–66. http://dx.doi.org/10.1016/j.jappgeo.2017.09.007.
Full textDissertations / Theses on the topic "Petrophysical interpretation"
Yang, Chen. "Petrophysical and geophysical interpretation of a potential gas hydrate reservoir at Alaminos Canyon 810, northern Gulf of Mexico." The Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1480596190825913.
Full textJavid, Sanaz. "Petrography and petrophysical well log interpretation for evaluation of sandstone reservoir quality in the Skalle well (Barents Sea)." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for geologi og bergteknikk, 2013. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-23137.
Full textWilliams, Adrian. "Reservoir Characterization of well A-F1, Block 1, Orange Basin, South Africa." University of the Western Cape, 2018. http://hdl.handle.net/11394/6364.
Full textThe Orange basin is relatively underexplored with 1 well per every 4000km2 with only the Ububhesi gas field discovery. Block 1 is largely underexplored with only 3 wells drilled in the entire block and only well A?F1 inside the 1500km2 3?D seismic data cube, acquired in 2009. This study is a reservoir characterization of well A?F1, utilising the acquired 3?D seismic data and re?analysing and up scaling the well logs to create a static model to display petrophysical properties essential for reservoir characterization. For horizon 14Ht1, four reservoir zones were identified, petro?physically characterized and modelled using the up scaled logs. The overall reservoir displayed average volume of shale at 24%, good porosity values between 9.8% to 15.3% and permeability between 2.3mD to 9.5mD. However, high water saturation overall which exceeds 50% as per the water saturation model, results in water saturated sandstones with minor hydrocarbon shows and an uneconomical reservoir.
Díaz, da Jornada Ana Carolina López. "Interpretação de perfis elétricos na caracterização dos reservatórios de Camisea, Peru." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2008. http://hdl.handle.net/10183/13709.
Full textThe Mesozoic sequence of the Ucayali basin is the main producer of gas and condensate of Peru. The work area is called Gran Camisea, located in the south part of the basin, and, in the present time, belongs to the company Plupetrol Peru Corporation. In this work, a well log interpretation method was used in a gas well in San Martin area, part of the Camisea field. The goal is the characterization of the reservoir of San Martín using a Quick Look log interpretation method, and thus to supply a general view in the understanding of well and reservoirs parameters, productive zones and its petrophysics characteristics of porosity and saturation. To validate the interpretation, besides using the geologic description of well cores and cutting sampling, it was used the description and information of the petroleum system of Camisea gas field and its regional geology. It was possible to present a comparison between Pluspetrol values, obtained through detailed methods, and those from the Quick Look log interpretation method used here, as well as an analysis of convergence between both results.
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.
Full textMabona, Nande Ingrid. "Application of petrophysics and seismic in reservoir characterization. A case study on selected wells, in the Orange Basin, South Africa." Thesis, University of the Western Cape, 2012. http://hdl.handle.net/11394/4380.
Full textThe evaluation of petroleum reservoirs has shifted from single approach to an integrated approach. The integration, analysis and understanding of all available data from the well bore and creating property models is an exceptional way to characterize a reservoir. Formulating, implementing, and demonstrating the applicability of the joint inversion of seismic and well-bore related observations, and the use of information about the relationship between porosity and permeability as the key parameters for identifying the rock types and reservoir characterization is a vital approach in this study. Correlating well and seismic data, potential reservoirs can be delineated and important horizons (markers) can be pointed out to better characterize the reservoir. This thesis aims to evaluate the potential petroleum reservoirs of the Wells K-A1, K-A2, K-A3 and K-H1 of the Shungu Shungu field in the Orange Basin through the integration and comparison of results from core analysis, wireline logs and seismic and attempt to produce a good reservoir model and by additionally utilizing Petrophysics and seismic and trying to better understand why the area has dry wells. Different rock types that comprise reservoir and non reservoirs are identified in the study and five Facie types are distinguished. Tight, fine grained sandstones with low porosity values ranging from 3% - 6% where dominant in the targeted sandstone layers. Porosity values ranging from 11% - 18% where identified in the massive sandstone lithologies which where hosted by Well’s K-A2 and K-A3. Low permeability values reaching 0.1mD exist throughout the study area. Areas with high porosity also host high water saturation values ranging from 70 – 84%. An improvement in the porosity values at deeper zones (3700m -3725m) and is apparent. Poroperm plots exhibit quartz cemented sandstones and density with neutron plot suggest that the sandstones in the area contain quarts and dolomite mineralization.Well K-A3, consist of a cluster by quartzitic sandstone, meaning there is a large amount of sandstone present. There are apparent high porosity values around the sandstone. What is apparent from this plot is that there are many clusters that are scattered outside the chart. This could suggest some gas expulsions within this Well. Sandstones within the 14B2t1 to 14At1 interval are less developed in the vicinity covered by well K-A2 than at the K-A1 well location. The main targeted sandstones belong to the lower cretaceous and lie just below 13At1. The four wells drilled in this area are dry wells. The areas/blocks surrounding this area have shown to possess encouraging gas shows and a comparative study could reveal better answers. At deeper zones of the well at an interval of 5350m -5750m, there are more developed sandstones with good porosity values. The volume of shale is low and so is the water saturation. The main target sandstones in the study area are the Lower Cretaceous sandstones which are at an interval 13At1. These sandstones are not well developed but from the property model of the target surface it can be seen that the porosity values are much more improved than the average values applied on all the zones on the 3D grid.
Paganoni, Matteo. "Controls on the distribution of gas hydrates in sedimentary basins." Thesis, University of Oxford, 2017. https://ora.ox.ac.uk/objects/uuid:6887b849-5668-4510-bc15-c416044dd043.
Full textButterfield, Andrei. "Characterization of a Utica Shale Reflector Package Using Well Log Data and Amplitude Variation with Offset Analysis." Wright State University / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=wright1401462908.
Full textAdiguna, Haryanto. "Comparative study for the interpretation of mineral concentrations, total porosity, and TOC in hydrocarbon-bearing shale from conventional well logs." 2012. http://hdl.handle.net/2152/20053.
Full texttext
Ijasan, Olabode. "Inversion-based petrophysical interpretation of logging-while-drilling nuclear and resistivity measurements." 2013. http://hdl.handle.net/2152/21390.
Full texttext
Books on the topic "Petrophysical interpretation"
Doveton, John H. Principles of Mathematical Petrophysics. Oxford University Press, 2014. http://dx.doi.org/10.1093/oso/9780199978045.001.0001.
Full textBook chapters on the topic "Petrophysical interpretation"
Herianto, Putra, Muhammad Fadhil, Suci Handayani Qolbi, Mohammad Risyad, and Beiruny Syam. "Naturally Fractured Basement Reservoir Potential Quantification from Fracture Model and Petrophysical Analysis by Leveraging Geostatistics and Seismic Interpretation: A Case Study in Jabung Block, South Sumatra Basin." In Springer Series in Geomechanics and Geoengineering, 360–68. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99670-7_45.
Full textOnajite, Enwenode. "Seismic petrophysics and petrophysical well curves analysis for quantitative seismic interpretation." In Applied Techniques to Integrated Oil and Gas Reservoir Characterization, 233–48. Elsevier, 2021. http://dx.doi.org/10.1016/b978-0-12-817236-0.00008-x.
Full text"Geological and Petrophysical Interpretation of Logging Measurements." In Methods in Experimental Physics, 19–61. Elsevier, 1986. http://dx.doi.org/10.1016/b978-0-12-691390-3.50006-5.
Full textTathed, Pratiksha, and Siddharth Misra. "Petrophysical models for the interpretation of electromagnetic logs." In Multifrequency Electromagnetic Data Interpretation for Subsurface Characterization, 71–90. Elsevier, 2021. http://dx.doi.org/10.1016/b978-0-12-821439-8.00010-0.
Full textSánchez-Delgado, N., A. Rodríguez-Rey, L. Calleja, V. de Argandoña, and C. Camino. "Petrophysical interpretation of mechanical behaviour of ornamental stones from Galicia (Spain)." In Rock Engineering and Rock Mechanics: Structures in and on Rock Masses, 257–60. CRC Press, 2014. http://dx.doi.org/10.1201/b16955-41.
Full textTiab, Djebbar, and Erle C. Donaldson. "Basic Well-Log Interpretation." In Petrophysics, 803–27. Elsevier, 2012. http://dx.doi.org/10.1016/b978-0-12-383848-3.00012-8.
Full text"Chapter 1: Petrophysics of Siliciclastic Rocks." In Seismic Petrophysics in Quantitative Interpretation, 1–28. Society of Exploration Geophysicists, 2016. http://dx.doi.org/10.1190/1.9781560803256.ch1.
Full text"Chapter 2: Pore Pressure and Stress State." In Seismic Petrophysics in Quantitative Interpretation, 29–42. Society of Exploration Geophysicists, 2016. http://dx.doi.org/10.1190/1.9781560803256.ch2.
Full text"Chapter 3: Seismic Rock Properties and Rock Physics." In Seismic Petrophysics in Quantitative Interpretation, 43–86. Society of Exploration Geophysicists, 2016. http://dx.doi.org/10.1190/1.9781560803256.ch3.
Full text"Chapter 4: AVO Analysis: Rock-physics Basis." In Seismic Petrophysics in Quantitative Interpretation, 87–104. Society of Exploration Geophysicists, 2016. http://dx.doi.org/10.1190/1.9781560803256.ch4.
Full textConference papers on the topic "Petrophysical interpretation"
Kolomytsev, Alexander, Ekaterina Sazonova, Ekaterina Ageeva, Yulia Pronyaeva, Alexey Pashynsky, Ilya Kneller, and Inna Evdokimova. "3D Petrophysical Interpretation of Horizontal Wells." In SPE Annual Technical Conference and Exhibition. Society of Petroleum Engineers, 2018. http://dx.doi.org/10.2118/191478-ms.
Full textKhoshbakht, F. "Importance of Blocking in Petrophysical Interpretation." In 7th EAGE Saint Petersburg International Conference and Exhibition. Netherlands: EAGE Publications BV, 2016. http://dx.doi.org/10.3997/2214-4609.201600254.
Full textKrief, M. "Petrophysical interpretation of P- and S-wave velocities." In EAGE/SEG Research Workshop 1990. European Association of Geoscientists & Engineers, 1990. http://dx.doi.org/10.3997/2214-4609.201411889.
Full textSimoes, Vanessa, Patrick Machado, Austin Boyd, Giovanna Carneiro, Anna Paula Duarte, Marianna Dantas, Lin Liang, et al. "Multi physics measurements integration for improving petrophysical interpretation." In International Congress of the Brazilian Geophysical Society&Expogef. Brazilian Geophysical Society, 2019. http://dx.doi.org/10.22564/16cisbgf2019.282.
Full textKozhevnikov, Dmitry, and Kazimir Kovalenko. "Petrophysical Invariance Principle in Adaptive Well Log Interpretation." In SPE Russian Oil and Gas Conference and Exhibition. Society of Petroleum Engineers, 2010. http://dx.doi.org/10.2118/135977-ms.
Full textNguyen, H. A., A. The Vu, and T. Thanh Nguyen. "Integrated Petrophysical Interpretation of Fractured Granite Basement Reservoirs." In 80th EAGE Conference and Exhibition 2018. Netherlands: EAGE Publications BV, 2018. http://dx.doi.org/10.3997/2214-4609.201800958.
Full textKozhevnikov, Dmitry, and Kazimir Kovalenko. "Petrophysical Invariance Principle in Adaptive Well Log Interpretation (Russian)." In SPE Russian Oil and Gas Conference and Exhibition. Society of Petroleum Engineers, 2010. http://dx.doi.org/10.2118/135977-ru.
Full textAlsaif, Sarah F., Ali M. Alkhatib, and Alberto F. Marsala. "Enhanced Petrophysical Interpretation of 3D Electromagnetic Surveys for Reservoir Characterization." In SPE Kingdom of Saudi Arabia Annual Technical Symposium and Exhibition. Society of Petroleum Engineers, 2016. http://dx.doi.org/10.2118/182768-ms.
Full textDobróka, M., P. N. Szabó, B. Kiss, and T. Krasznavölgyi. "Petrophysical Interpretation of Well Log Data Using VFSA-I2 Algorithm." In 67th EAGE Conference & Exhibition. European Association of Geoscientists & Engineers, 2005. http://dx.doi.org/10.3997/2214-4609-pdb.1.p215.
Full textMiotti, F. M. "Using Dempster-Shafer Theory to Model Uncertainty in Petrophysical Interpretation." In 82nd EAGE Annual Conference & Exhibition. European Association of Geoscientists & Engineers, 2020. http://dx.doi.org/10.3997/2214-4609.202012145.
Full textReports on the topic "Petrophysical interpretation"
Carlos Torres-Verdin and Mrinal K. Sen. INTEGRATED APPROACH FOR THE PETROPHYSICAL INTERPRETATION OF POST- AND PRE-STACK 3-D SEISMIC DATA, WELL-LOG DATA, CORE DATA, GEOLOGICAL INFORMATION AND RESERVOIR PRODUCTION DATA VIA BAYESIAN STOCHASTIC INVERSION. Office of Scientific and Technical Information (OSTI), March 2004. http://dx.doi.org/10.2172/825256.
Full textCarlos Torres-Verdin and Mrinal K. Sen. INTEGRATED APPROACH FOR THE PETROPHYSICAL INTERPRETATION OF POST-AND PRE-STACK 3-D SEISMIC DATA, WELL-LOG DATA, CORE DATA, GEOLOGICAL INFORMATION AND RESERVOIR PRODUCTION DATA VIA BAYESIAN STOCHASTIC INVERSION. Office of Scientific and Technical Information (OSTI), September 2004. http://dx.doi.org/10.2172/837074.
Full text