Research on predictionmethods for thin interbedded turbidite reservoirs under gray background
The turbidite in themiddle sub section of the third sand body in block N25 of the NZ depression has the characteristics of small individual size(single sand body area＜2km2),thin thickness,and fast lateral variation.Due to the insufficient resolution of deep seismic data and the influence of graymudstone,conventional geophysical descriptionmethods cannot effectively predict the distribution range of reservoirs.Therefore,based on forward simulation,mixed phase wavelet deconvolution technology is applied to improve the longitudinal resolution of earthquakes;Using wavelet decomposition and reconstruction techniques to process the seismic data after frequency expansion,highlighting the seismic reflection characteristics of the reservoir,and then using waveform indication inversionmethods based on lithology sensitive curves to finely characterize the boundaries of the sand body.The results show that the wavelet decomposition and reconstruction technology effectively shields the influence of graymatter components,and the waveform indication inversionmethod based on lithology sensitive curves improves the prediction accuracy.The predicted thickness of reservoirs above 5m in N25 block is consistent with the actual drilled reservoir thickness by 85% .Based on the comprehensive application of reservoir description results,8 oil wells were deployed in N25 block,all of which encountered thicker oil layers.Industrial oil flow was obtained after production,and a new production capacity of 22000 tons was built.
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