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A Method of Reservoir Prediction Based on the Joint Application of MP and RGBNormal access

Authors: Y.L. Liu, Z.C. Li, G.Q. Yang, W.J. Cao and Q. Liu
Event name: 79th EAGE Conference and Exhibition 2017
Session: Seismic Interpretation - New Workflows and Case Studies A
Publication date: 12 June 2017
DOI: 10.3997/2214-4609.201701424
Organisations: EAGE
Language: English
Info: Extended abstract, PDF ( 1.7Mb )
Price: € 20

With the development of the seismic interpretation technology, a single technology could not satisfy the requirements of the reservoir prediction. More and more technologies are used jointly to improve the predicted accuracy. In this paper, we study a method of prediction by combining the Matching pursuit (MP) algorithm and the RGB blend technology. Firstly, the data is divided into three bands. Then, the MP algorithm is used to select the region with large amplitude though several iterations. This is the most important step and decides the final result. Based on this, the RGB attribute is calculated to give the information of frequency by means of color mixing or transition. A more accurate prediction can be given after analyzing the improved RGB attribute. The model and real data demonstrate that it is an effective method of reservoir prediction.

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