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dc.creatorPadron Cabral, Ricardo Javier
dc.date.accessioned2012-06-07T22:37:51Z
dc.date.available2012-06-07T22:37:51Z
dc.date.created1994
dc.date.issued1994
dc.identifier.urihttps://hdl.handle.net/1969.1/ETD-TAMU-1994-THESIS-P124
dc.descriptionDue to the character of the original source materials and the nature of batch digitization, quality control issues may be present in this document. Please report any quality issues you encounter to digital@library.tamu.edu, referencing the URI of the item.en
dc.descriptionIncludes bibliographical references.en
dc.description.abstractReservoir charactefimtion is the key to successful oil field development programs. The recovery efficiency of any reservoir is influenced by its heterogeneities, particularly the distributions of porosity and permeability. Therefore, in order to develop a representative model of the reservoir, we must be able characterize the distributions of porosity, permeability and production potential. To develop a reservoir model that represents the reservoir properties we must be able define the vertical distributions of rock and fluid properties in each well. We call these distinct distributions of reservoir properties "flow units" and each flow unit has its own characteristics which control the movement of fluids understanding flow units allows us to identify possible preferential flow zones. The "Flow Zone indicator," FZI, is an empirical parameter that is obtained from a statistical correlation of porosity and permeability. The FZI concept is used to identify flow units, and this parameter takes into account geological attributes. A primary result of this study is the modification of the FZI parameter such that FZI can be applied to all types of sandstones, including shaly sandstones. In this manner, the modified F7J parameter, MFZI, that we have developed should be independent of lithology. The difference between the old definition of the FZI parameter and our modified F7J parameter is that the latter includes the effect of shale volume, Vh , as a parameter in the permeabdity-porosity correlation. Our study focuses on the C2/VLE-305 reservoir unit in Lake Maracaibo, Venezuela and is used to illustrate the application of our modified FZI parameter. Our target reservoir member is the C2 unit which has been divided into five "flow units" (C20, C21 S, C211, C22 and C23) according to geologic description and production and pressure performance. In this work we characterized the C2 member using our modified FZI method. The FZI method indicated seven distinct flow units; the old C20, C21 S, C2 II and C22 already defined by geologic interpretation and three new flow units that we call C23S, C23M and C231, where all of these result from the division of the old C23 flow unit. We again specify that FZI method was used to obtain an empirical correlation of porosity, permeability and shale volume, where the MFZI model was then used to estimate permeability distributions for uncored wells. We also correlated production rate performance and the results of production logs with the permeability distributions estimated using the modified FZI method. We also used rate-time analysis (type curve approach) to estimate recoverable fluid volumes, and additional recovery potential. The results of these analyses allow us to establish prospective areas for future development.en
dc.format.mediumelectronicen
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.publisherTexas A&M University
dc.rightsThis thesis was part of a retrospective digitization project authorized by the Texas A&M University Libraries in 2008. Copyright remains vested with the author(s). It is the user's responsibility to secure permission from the copyright holder(s) for re-use of the work beyond the provision of Fair Use.en
dc.subjectpetroleum engineering.en
dc.subjectMajor petroleum engineering.en
dc.titleA reservoir engineering characterization of the north study area of the C2/VLE-305 reservoir, Lamar Field, Lake Maracaibo, Venezuelaen
dc.typeThesisen
thesis.degree.disciplinepetroleum engineeringen
thesis.degree.nameM.S.en
thesis.degree.levelMastersen
dc.type.genrethesisen
dc.type.materialtexten
dc.format.digitalOriginreformatted digitalen


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