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The Application Of High Resolution Facies-control Modeling In Xinhai Block 27

Posted on:2017-11-25Degree:MasterType:Thesis
Country:ChinaCandidate:W XiongFull Text:PDF
GTID:2310330488455471Subject:Oil and gas engineering
Abstract/Summary:PDF Full Text Request
Xinhai Block 27 locates in south of central rift belt's southern part of Liaohe faulted basin, as a incline structure with short axis between Dawa Fault and Hai 35 Fault in south and north, which appeals a little gentle in those direction with approximate 1° formation lip. The eastern and western wings are steep with 2?4° formation lip.Based on local research, the comprehensive analysis of lithology, sedimentary structure, vertical sequence, logging curve features and causes of sedimentary environment supposes that delta front subfacies of Xinhai Block 27 can be divided into underwater distributed channel, bay sand between distributed channel, bay mud between distributed channel and lacustrine mud.The whole structure pattern of Xinhai Block 27 is a short-axis incline, which is a little gentle with about 1° formation dip. Considering of high oil - water viscosity ratio, heavy oil firstly enter into big pores with high permeability while small pores with low permeability have some high water saturation, which make this block low oil saturation.The development objective layer of Xinhai Block 27 is oil layer group d1 ?, which can be finely divided into d1 ?1?d1 ?4 four sand group from top to bottom. Oil layer group mainly distribute in small layer d1 ? 13 and d1 ? 31, whose thicknes of single layer ranges 6?30m. The main lithology is middle-coarse sand, which contain better properties with 33.5% average porosity,1809×10-3 ?m2 average permeability,5.12% average clay content, 14.1 permeability differential within layers,0.6 plane permeability variation coefficient,254 u m average pore width,3.54 average pore-throat ratio and 1.62 average coordination number.Beginning from problems existing in oilfield production, this paper comprehensively takes advantage of geological, seismic, logging and production data to rethink reservoir geological features. Fine seismic interpretation and layer(small layer) correlation results are applied to conduct structure(microstructure) study, combining with fine reservoir microstructure model built by computer technology. From single wells, types of sedimentary microfacies are analyzed to conduct small layer sedimentary microfacies study and sand distribution principles study. On the basis of logging interpreting reservoir parameters, reservoir heterogeneity can be quantitatively evaluated. Using facies-controlling random simulation method builds reservoir property model in line with situations underground to quantitatively characterize reservoir 3D space distribution principles. Coarsening models will provide reliable reservoir geological models for subsequent reservoir numerical simulation.
Keywords/Search Tags:facies model, reservoir parameter model, logging interpretation, sedimentary microfacies, structure feature
PDF Full Text Request
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