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Logging Interpretation Study Based On The Petrophysical Facies

Posted on:2016-03-01Degree:MasterType:Thesis
Country:ChinaCandidate:L P CuiFull Text:PDF
GTID:2180330461453588Subject:Mineral prospecting and exploration
Abstract/Summary:PDF Full Text Request
Based on the petroleum geology theory, using the data of drilling core, thin section identification, the test and analysis methods such as scanning electron microscopy(sem), the analysis and research on sedimentary facies and reservoir characteristics of Chang7 reservoir in Huanjiang area has been carried. Affected by sedimentary environment, diagenesis, structure and many other factors, properties and structural of Chang7 reservoir, Huanjiang oil field changes heavily with the heterogeneous, non-linear and complex log characteristics in reservoir.Therefore, according to log, core and testing data, after analyzed reservoir and petrophysical faces characteristics, it got that the reservoir in this area can be divided into three categories:favorable, medium, poor petro-physical facies. It got a method of how to identity petrophysical facies.And using grey theory which is logging and geology evaluation method, Some indexes of how to divide the prteo-physical facies has been built. Then divide the Chang7 reserviors into the three facies and build parameter models of chang 7.reservoir. It improves the linear relation of parameter model, and increases the fitting precision of permeability, also gives an accurate cutoff of reservoir. It overcomes some evaluation feature of low SNR and low resolution, and provides an effective method to establish ultra-low permeability reservoir parameter models and fix the effective thickness of oil reservoir.It also divides reservoir into three kind of petro-physical phases by a variety of information and division method.. The compliance rate of logging interpretation and testing results is much higer.
Keywords/Search Tags:Sedimentary facies, Reservoir characteristics, petrophysical facies, Logging interpretation
PDF Full Text Request
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