Font Size: a A A

Study On Evaluation Of Well Logging Reservoir In Xihu Depression

Posted on:2018-07-22Degree:MasterType:Thesis
Country:ChinaCandidate:Y Y WangFull Text:PDF
GTID:2370330596452773Subject:Geological engineering
Abstract/Summary:PDF Full Text Request
The development history of the Xihu depression in the East China Sea is relatively short.Since 70 s,a series of oil and gas reservoirs with high structural background and good trap types have been found in the Pinghu formation.In this context,in order to deepen the understanding of Pinghu formation in Xihu depression,a set of consistent logging reservoir evaluation methods and techniques should be established,so as to provide the data base for the evaluation and development of oil and gas reservoirs.Logging data pretreatment is the basis of well logging reservoir evaluation.Through the consistency of different logging series of natural gamma measurement data analysis,to achieve a different trip log depth matching;on the basis,the neutron density crossplot,completed the data quality control of porosity logging series.Based on coring data and core analysis data,the lithology,physical property,oil-bearing property and logging response characteristics of the Pinghu formation in the study area are determined,and the relationship between the four characters is clarified.Based on the "core calibration logging" method and the rock volume physical model method,the paper sets up the model of shale content,porosity,permeability and oil saturation in Pinghu formation.The lower limit of physical property,the lower limit of oil bearing and the lower limit of logging response are determined by the data of production dynamic,pressure measurement and testing.Through the establishment of logging reservoir evaluation technology,the comprehensive interpretation and evaluation of 10 wells in the study area are completed,and the quantitative parameters and fluid properties of the reservoir are determined.
Keywords/Search Tags:Log interpretation model, Effective thickness limit, Fluid identification, Pinghu formation, Xihu depression
PDF Full Text Request
Related items