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The Study Of Seismic-driven Geological Modeling Constrained By Sandbody Superposition Patterns

Posted on:2015-05-11Degree:MasterType:Thesis
Country:ChinaCandidate:Z H WangFull Text:PDF
GTID:2180330503975235Subject:Geological Engineering
Abstract/Summary:PDF Full Text Request
With the high maturity of the exploration and development of oil and gas fields,it becomes more and more important to build a geological model which can accurately discribe the geological structure and reservoir properties,to guide the development in the late period for the reservoir.Up to now,the modeling methods are more developed to integrate multidisciplinary data for building a fine 3D geological model.The key issue in this process is to fully integrate multidisciplinary data such as geological data, log data, and seismic data,with different scales.The seismic-driven modeling method is a recent-proposed method which integrates well and seismic data in the process of modeling.The difference of this method from conventional modeling is that seismic data are treated as hard data in the process of modeling.The advantage of this method is to avoid calculating variogram using spatial correlation of seismic data. This method has a good applicability for reservoir with a few wells.In this paper, based on previous studies,Sandbody superposition patterns constraint the process of modeling to build a geological model which can be more consistent with geology.This study uses the sandbody superposition patterns constraint seismic-driven modeling process.This study also focuses on how to use seismic data to identify sandbody superposition patterns.The work attempts to identify the sand body overlay modes by using waveform information of seismic data and multi-attribute.Because multi-attribute reflects the sandbody superposition patterns more than the waveform,we choose multi-attribute to constraint seismic-driven modeling process. During the study,previous software modules are improved.
Keywords/Search Tags:Multiple attributes information, sandbody superposition patterns, seismic-driven modeling
PDF Full Text Request
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