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The Reservoir Modeling Study Of S1Mid In Jin16Block

Posted on:2013-01-25Degree:MasterType:Thesis
Country:ChinaCandidate:Q H DongFull Text:PDF
GTID:2230330374476738Subject:Mineral prospecting and exploration
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Reservoir geologic modeling technology is useful for reservoir evaluation and making plans in the development phase.It is not only the core of the reservoir simulation and reservoir engineering, but also a hot issue at home and abroad in recent years. In oilfield exploration and development phase, the reservoir research is to establish the quantitative3d reservoir geologic model.This is fundamental during oil and gas exploration and development, also reflecs the reservoir study to a higher stage.The reservoir in the underground distributes in3D, which has certain properties and features. But the underground reservoir is complicated, and has complex reservoir structure (reservoir facies)and varied reservoir parameters. Because it is constructed by many complex geological process (deposition, diagenesis and tectonic action). So in the unperfect conditions, it is hard to make sure of the recognition and evaluation of reservoir. Therefore we think reservoir has certain random. The purpose of the reservoir modeling is in the structure model framework to fine depict reservoir lithology and the distribution and characteristics of internal porosity, permeability, and saturation, fine characterize the heterogeneity of its internal reservoir properties on the three dimensional space. Moreover, reservoir modeling can provide accurate geological model for reservoir numerical simulation and the remaining oil fine description.For a long time, people get used to all kinds of2D and pseudo-3D maps to describe the3D reservoir. For example, people use permeability isoline to describe reservoir permeability distribution. Obviously, this description has certain limitation, the key is to cover up the reservoir’s vertical heterogeneity, as well as plane. Heterogeneity. Reservoir modeling can establish quantitative3D model, its core are multidisciplinary integration,3D visualization and quantification. Compared with the traditional two-dimensional reservoir research,3D reservoir modeling has the following advantages:1. It can describe reservoir more accurately, overcome the limitation of two-dimensional maps.3D reservoir modeling can quantitatively characterize the reservoir heterogeneity from three dimensional prospective, so as to help the oil field exploration and development workers to make reasonable reservoir evaluation and development management.2. It can more accurately measure reserves of oil and gas. In the conventional reserves calculation, reserves parameters (oil area, reservoir thickness, porosity, oil saturation, etc) are average value. Obviously, the application of the average value ignores the reservoir heterogeneity factors, for example, reservoir thickness is not a same value in the plane., porosity and oil saturation are also changing in the space. Using3D reservoir model to calculate reserves, the basic unit is grid,(its resolution is more high than2-dimensional reserve calculation). Because each grid are endowed with facies type, porosity values and oil saturation parameters, and so on. Therefore, through the three dimensional reserves calculation, we can calculate the actual oil sand body size, porosity volume and oil and gas volume, the calculation accuracy is much higher than2-dimensional reserve calculation.3. It contributes to3D reservoir numerical simulation.3D reservoir numerical simulation needs a geological model,which can quantitative characterize the distribution of reservoir parameters in three dimensional space. The upscaled3D reservoir geologic model can be directly used as a reservoir numerical simulation input. And the accuracy of reservoir numerical simulation mainly depends on3D reservoir geologic mdel.Reservoir stochastic modeling contrains three main steps:strcutural modeling, sedimentary microfacies modeling and petrophysical modeling. At present, petrophysical model is created under the control of sedimentary microfacies. this method is callesd facies-controlled modeling:first, establish edimentary microfacies model by indicator simulation, and then establish petrophysical mdel by gaussian simulation for different sedimentary microfacies, respectively.Based on detailed geological research and a comprehensive use of sedimentology, sequence stratigraphy, stochastic modeling method, this paper establish fine geologic modeling for block S1mid of the jin16. The model represents underground geological condition truly, so as to provide geological basis for the oil field production and efficient development. Meanwhile, three-dimensional volume method is applied to calculate the geological reserves. Finally upscale fine geologic model, provide basic data for the next reservoir numerical simulation. The main achievemwnts are as follows:(1) In combination with sedimentary background, based on the single well facies analysis and facies distribution, we conclude that jin16p is fan delta deposition. This system has fan delta plain, frontal fan delta and prodelta.. The study area mainly has fan delta front, prodelta, underwater distributary channel, interdistributary bay and estuary.(2) Integration well data with seismic interpretation, correct the faults; Through the seismic data, calibrate of tectonic surface.(3) Using the seismic interpretation of tectonic surface and fault data, under the constraint of single well model, creat fault model and structural model, both models match the original basic data.(4) According to multidisciplinary integration and facies-controlled modeling ideas, by use of the PETREL2005software, establish the jin16Yulou reservoir sedimentary facies model and petrophysical model (including the porosity, permeability and oil saturation and NTG model), the model reflects the distribution of reservoir property truly.(5)The volume method, reserve calculation by zone and segment. Reserve calculation results and original reserve value are basically the same. According to the reservoir characteristics and numerical simulation technology requirements, design numerical simulation grid system, transform fine geological model to reservoir numerical simulation static model, meet the reservoir numerical simulation requirements.
Keywords/Search Tags:Facies modeling, Stochastic modeling, Variogram, Petrophysical modeling, Sequential simulation
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