Dissertations / Theses on the topic 'Petrophysical interpretation'
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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.
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Ijasan, Olabode. "Inversion-based petrophysical interpretation of logging-while-drilling nuclear and resistivity measurements." 2013. http://hdl.handle.net/2152/21390.
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Ortega, Edwin Yamid. "Inversion-based petrophysical interpretation of multi-detector logging-while-drilling sigma measurements." Thesis, 2014. http://hdl.handle.net/2152/24939.
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Breeden, Lora C. "Petrophysical Interpretation of the Oxfordian Smackover Formation Grainstone Unit in Little Cedar Creek Field, Conecuh County, Southwestern Alabama." Thesis, 2013. http://hdl.handle.net/1969.1/151181.
Full textXu, Chicheng. "Reservoir description with well-log-based and core-calibrated petrophysical rock classification." 2013. http://hdl.handle.net/2152/21315.
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Ijasan, Olabode. "Rapid modeling of LWD nuclear measurements acquired in high-angle and horizontal wells for improved petrophysical and geometrical interpretation." Thesis, 2010. http://hdl.handle.net/2152/ETD-UT-2010-12-2307.
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Ozkan, Aysen 1974. "Structural diagenetic attributes of the late Cretaceous Williams fork sandstones with implications for petrophysical interpretation and fracture prediction, Piceance Basin, Colorado." Thesis, 2010. http://hdl.handle.net/2152/ETD-UT-2010-05-767.
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Toumelin, Emmanuel. "Pore-scale petrophysical models for the simulation and combined interpretation of nuclear magnetic resonance and wide-band electromagnetic measurements of saturated rocks." Thesis, 2006. http://hdl.handle.net/2152/2614.
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