A New Phase-controlled Reservoir Prediction Technique for Coal-rich Environment in the Pinghu Formation of the Xihu Sag, the East China Sea

doi:10.19657/j.geoscience.1000-8527.2019.02.09

Abstract

Abstract:

Although deterministic inversion and post-stack geostatistical inversion have been widely used in re-servoir prediction,they are not very effective in predicting thin reservoirs in complex geological background. In the Xihu Sag, difficulties in exploration and development have been caused by four problems, i.e., large burial depth, complex sedimentary environment, rapid reservoir phase transition and thin coal seams. Based on regional geological modelling and rock physical characteristics, the post-stack geostatistical method is likely better in coal seam prediction. The coal seam is taken as a known geological parameter to constrain the pre-stack geostatistical inversion. Consequently, seismic resolution is enhanced and fine thin reservoirs are delineated. This technique could solve the current poor reservoir prediction in the East China Sea,and facilitates well development. More importantly, the accuracy of reservoir prediction is improved by 15%, and the understanding in the reservoir sedimentation is enhanced, which makes this technique more applicable in other places.

Key words: Xihu Sag, coal rich environment, reservoir prediction, geostatistical inversion

CLC Number:

P631.4

ZHANG Lan, WANG Wenji, HE Xianke, BAO Quan, LI Bingying. A New Phase-controlled Reservoir Prediction Technique for Coal-rich Environment in the Pinghu Formation of the Xihu Sag, the East China Sea[J]. Geoscience, 2019, 33(02): 337-344.

Figures/Tables 9

Fig.1 Intersection diagram of PIMP and Vp/Vs in Pinghu Formation

Fig.2 AVO forward models with the 20-meter thickness reservoir below four sets of coal seams

Fig.3 Flow chart of the phase-controlled reservoir prediction technique

Fig.4 Probability density of coal and non-coal seams in the target stratum

Fig.5 Sections of post-stack deterministic inversion and post-stack geostatistics inversion

Fig.6 Three-dimensional spatial distribution of three types of rock phases

Fig. 7 Histogram of predicted reservoir thickness in the K gas field in Pingbei region

Fig.8 Sandstone probability profiles of pre-stack deterministic inversion(top) and pre-stack geostatistics inversion constrained by coal facies(bottom)

Fig.9 Vp/Vs profile of pre-stack geostatistics inversion constrained by coal facies and well logging curves of well A2H

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