Karakterisasi Dini Reservoar Seismik di Klaster Lapangan �Tulip�, Blok Lepas Pantai Belanda, Laut Utara

Early Seismic Reservoir Characterization is a proposed method/workflow for exploring hydrocarbon fields based on 3D seismic and well log data. This method adopts the concept of reservoir characterization on development and production phases to be applied on exploration phase. The method utilizes adv...

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書目詳細資料
Main Authors: , Zulfadli, S.Si, , Dr. Sugeng Sapto Surjono
格式: Theses and Dissertations NonPeerReviewed
出版: [Yogyakarta] : Universitas Gadjah Mada 2014
主題:
ETD
在線閱讀:https://repository.ugm.ac.id/128646/
http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=69007
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總結:Early Seismic Reservoir Characterization is a proposed method/workflow for exploring hydrocarbon fields based on 3D seismic and well log data. This method adopts the concept of reservoir characterization on development and production phases to be applied on exploration phase. The method utilizes advanced seismic interpretation techniques and applies the concept of anticipating risk and optimizing data as the power of interpretation. The characterization steps begin with DHI skimming, followed by spectral decomposition (Continuous Wavelet Transform/CWT), seismic inversion (Seismic Colored Inversion/SCI), porosity inversion (Supervised Neural Network), and completed with cross validation from Bayesian inversion (Probability Density Function/PDF). The method was tested on 3D seismic dataset of Dutch Offshore Block, North Sea. The study result showed existence of some speculative fields as â��Tulipâ�� Field Cluster on Upper North Sea Group. â��Tulip Alphaâ�� was the best speculative field that showed continuous consistency for prospective level and was confirmed until the last step. â��Tulip Alphaâ�� exposed strong bright spot and flat spot, was connected with normal fault, had good spectral decomposition and seismic inversion responses associated with hydrocarbon accumulation, and had good inversion porosity value (>35%). The study result showed real contribution of Early Seismic Reservoir Characterization for identifying hydrocarbon-bearing speculative fields on exploration phase quickly and effectively.