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Reservoir Characteristics And Prediction Of T1f Of Jinzhuping Structural Belt In East Sichuan

Posted on:2007-08-23Degree:MasterType:Thesis
Country:ChinaCandidate:J S ZhouFull Text:PDF
GTID:2120360185473088Subject:Mineralogy, petrology, ore deposits
Abstract/Summary:PDF Full Text Request
At present, two wells in Jinzhuping structural belt have finished drilling, in which one gas well has been explored with daily gas production rate 7.22×104m3. T1f of Jinzhuping structural belt in east Sichuan has favorable foreground of exploratory development. So, once carry on integrated study of reservoir characteristics and reservoir prediction and acquire breakthrough, we will initiate new conjuncture of rolling exploratory development of Jinzhuping structural belt. Main object of this study is to search after effective prediction methods, find beneficial reservoir lebensraums, and guide sequent exploration and allocation of well location from the study on reservoir characteristics.The study of reservoir characteristics indicates that pore spaces of the T1f reservoirs were dominated by intercrystalline pores and dissolved pores, and belongs to the reservoirs with low porosity and low permeability, porosity of which is 2~12% or so. The reservoirs mainly belong to typeⅡ and typeⅢ. The reservoir type was defined as fracture-pore type, and physical property of the reservoirs was primarily dominated by sedimentary microfacies, corrosion and dolomization.During the prediction of the T1f reservoirs in Jinzhuping structural belt, we analyzed reservoir's seismic response characters through 2D seismic forward model which was based on the lithology and Reservoir characteristics in research region. Then, through sensibility experiments, we optimized seismic inversion method, which met the research region. Finally, we chose Seislog inversion to predict the reservoirs. For the sake of high precision of the reservoir prediction, we introduced the synthesis method of velocity inversion and pattern recognition to synthetically predict reservoirs. The T1f reservoirs belong to fracture type, so the point of the reservoir prediction was fracture prediction. This paper introduced the synthesis curvature method for fracture prediction for the first time. Firstly, we choose three mathematic methods to calculate line curvature and surface curvature in the same grid node. Secondly, it selected the maximal curvature value to draft curvature contour map through standardization processing, and set the lower limit of curvature value based on production test, show of oil and gas and well logging etc. Finally, we blocked out fracture upgrowth areas. This new method has better effect than single curvature calculate method.Reservoir prediction show that T1f reservoirs of Jinzhuping structural belt are comparatively steady in longitudinal direction, but are of strong aeolotropism. The oolitic beach reservoirs of the T1f are of certain continuity in transverse direction.We found the reservoir in region of interest is dominated by Type Ⅱ regions through the study of T1f reservoir characteristics and seismic reservoir prediction, which are more than 60% of favorable regions. They mainly distribute around Jingzhul well, some of which distribute on the north of Jingzhul well and the south of Jingzhu2 well. Type Ⅱ regions present band distribution in the region of interest, which mainly distribute the middle of Jingzhuping structure.
Keywords/Search Tags:Jinzhuping structural belt, Reservoir characteristics, Reservoir prediction, Seismic inversion, Synthesis curvature method
PDF Full Text Request
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