地质统计学反演技术在薄储层预测中的应用

doi:10.11743/ogg20120509

Abstract

Abstract:

Taking M1 thin reservoir in H-N oilfield,Southern Ecuador,as an example,this paper documents the challenges and problems of thin reservoir prediction and presents relevant techniques and methods to tackle these problems.Based on analysis of geophysical characteristics of reservoirs and surrounding rocks,a geostatistical inversion technique is applied in this case to identify the thin(1-25 ft)reservoirs with rapid lateral changes and strong concealment.Sand distribution is refined through correlation between different data volume including seismic interpretation,CSSI(Constrained Sparse Spike Inversion)and geostatistical inversion,and is further checked by non-well,random-wells and newly drilled wells.The accuracy of thin reservoir prediction is greatly enhanced to a vertical resolution up to 5 ft.This technique is successfully applied in H-N oilfield and the new drilling data show that all the prediceted thin sand layers are encountered and the drilling coincidence rate is 82%.

Key words: thin reservoir, geostatistical inversion, reservoir prediction

CLC Number:

TE112.3

Wang Xiangwen, Liu Hong, Teng Binbin, Wang Lianyu. Application of geostatistical inversion to thin reservoir prediction[J]. Oil & Gas Geology, 2012, 33(5): 730-735.

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Application of geostatistical inversion to thin reservoir prediction

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