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dc.contributor.advisorBlasingame, Thomas A.
dc.creatorHosseinpour-Zoonozi, Nima
dc.date.accessioned2007-04-25T20:02:18Z
dc.date.available2007-04-25T20:02:18Z
dc.date.created2006-12
dc.date.issued2007-04-25
dc.identifier.urihttps://hdl.handle.net/1969.1/4685
dc.description.abstractThe proposed work provides a new definition of the pressure derivative function [that is the β-derivative function, Δp βd(t)], which is defined as the derivative of the logarithm of pressure drop data with respect to the logarithm of time This formulation is based on the "power-law" concept. This is not a trivial definition, but rather a definition that provides a unique characterization of "power-law" flow regimes which are uniquely defined by the Δp βd(t) function [that is a constant Δp βd(t) behavior]. The Δp βd(t) function represents a new application of the traditional pressure derivative function, the "power-law" differentiation method (that is computing the dln(Δp)/dln(t) derivative) provides an accurate and consistent mechanism for computing the primary pressure derivative (that is the Cartesian derivative, dΔp/dt) as well as the "Bourdet" well testing derivative [that is the "semilog" derivative, Δpd(t)=dΔp/dln(t)]. The Cartesian and semilog derivatives can be extracted directly from the power-law derivative (and vice-versa) using the definition given above.en
dc.format.extent13489665 bytesen
dc.format.mediumelectronicen
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.publisherTexas A&M University
dc.subjectPressure Transient Analysisen
dc.subjectReservoir Engineeringen
dc.titleDevelopment of the beta-pressure derivativeen
dc.typeBooken
dc.typeThesisen
thesis.degree.departmentPetroleum Engineeringen
thesis.degree.disciplinePetroleum Engineeringen
thesis.degree.grantorTexas A&M Universityen
thesis.degree.nameMaster of Scienceen
thesis.degree.levelMastersen
dc.contributor.committeeMemberBeskok, Ali
dc.contributor.committeeMemberValko, Peter P.
dc.type.genreElectronic Thesisen
dc.type.materialtexten
dc.format.digitalOriginborn digitalen


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