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Quantitative Discrimination Of Sedimentary Microfacies Using Well Log Data And Residual Oil Distribution Of The First Member Of Putaohua Oil Layer In North-?-West Of North Saertu Development Area

Posted on:2012-02-06Degree:MasterType:Thesis
Country:ChinaCandidate:Q L LiuFull Text:PDF
GTID:2310330332489243Subject:Mineral prospecting and exploration
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North-?-West is located in the west of North-?region of North Saertu Development Area in Daqing oilfield, it invested in development since 1964 and entered into the high water-bearing development period. The key how to improve the oil recovery ratio lies in the knowledge of the residual oil distribution .The research on sedimentary microfacies and reservoir heterogeneity analysis and residual oil distribution of the study area are of great significance.This article has set up sequence stratigraphy framework in P?oil layer of the North-?-West, applying theory of high resolution sequence stratigraphy. Using the logging data, we carried out the section comparative along the main river channel and vertical direction on the base of the original group classification. We established contrast framework on channel sands and P?oil layer can be divided into six 4th order high-resolution sequences. Based on previous research, the P?1~P?3 layers of the study area are LST and fluvial facies are their main facies. The P?4~P?7 layers are HST, with frontal delta zone as their main facie. Well logs were normalized using histogram. On this basis, the GR value of 92.5 and the SP value of -30.9 are the boundary of sandstone and mudstone. Analysing and drawing the cyclic form and sawtooth shape of the GR curve to finalize the standard log-phase recognition. Determine sedimentary microfacies automatically with the help of the Bayes discriminant analysis. Analyzing the sand thickness and shape, the microfacies small plane distribution patterns of each level were determined. P?7 ~P?4 and P?1 are delta front zone and develop underwater distributary channel, mouth bar, underwater natural barrier, front sheet sand and other microfacies types. P?3 is braided incised channel deposits, developing channel, heart beach, natural levee and flood plain and other microfaciestypes. P?2 is high curvature meandering river deposition, developing lateral moved and aggregated point bar sand, abandoned channel, split between the bay, crevasse splay, levee, beach and other microfacies types. On the base of the logging data analysis in study area, we explained the porosity and permeability for secondary and analyzed the layer, interlayer and surface heterogeneity. Considering the study area belongs to medium-strong heterogeneity reservoir. P?2 is the best reservoir. According to the study of the study area and the emphasis area, we found that the polymer flooding effect in the central region is better than that in the fringe. Under the control of the microfacies and stochastic algorithm, the reservoir geological modeling is used to establish the tectonic model, sedimentary facies model, sand framework model and attribute model. We used the reservoir numerical simulation to fit the production history of the study area and the single well production history on the base of the geological modeling to discuss the quantitative research and distribution of residual oil in P?oil layer. The research indicated that the types of the residual oil distribution are well can not controlled oil in the top of the layer, imperfect of injection and recovery oil, interlayer interference oil, abandoned channel block oil and so on. The geological factors controlled the residual oil distribution are the microfacies, micro structure and the distribution folder compartment. The development main factor is the sophistication of the injection and recovery.
Keywords/Search Tags:high-resolution sequence stratigraphy, microfacies, reservoir heterogeneities, geological modeling, residual oil distribution
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