Research And Application Of Shallow Thin Reservoir Prediction

This issue derives from the Shengli oilfield project Research in Chunfeng oilfield shallow thin heavy oil reservoir prediction,and do the research of shallow thin hydrocarbon reservoir prediction combined with the actual data.At first,we refer to numero us references of this work area,and fully understand the whole work area in accordance with the geological conditions,the logging data and seismic facies.This is the foundation and key to the structure interpretation and lithological interpretation.Target processing is the essential procedure of seismic exploration for different goals.As the influence of calcareous sand stone,the reflection of the reservoir suffer from the interference of it.We use two measures to remove the influence of calcareous sandstone,wavelet reconstruction and the method of modeling based on the logging data,and make comparison of the effect of two method.The qualitative description of the reservoir is the basis of reservoir prediction,and is also the key factor of following quantitative prediction.Therefore,it play a n irreplaceable position of seismic lithology interpretation.Attribute extraction and impedance inversion are maturing.In this issue,we use various attribute,tunning cube frequency technology and waveform cluster analysis to qualitative descript the reservoirs.Finally,we acquire a good application effect,and lay the foundation for the subsequent quantitative prediction.After the qualitative description of the reservoir,developers are more concerned about the thickness and reservoir boundary.Firstly,combined with logging data and qualitative description.We use a series of regression analysis method to predict the thickness of reservoirs.Among these algorithm,BP neural network and Support Vector Machine acquire better application effect.Eventually,using the previous results,we introduce the AHP to comprehensive evaluate the distribution of the reservoirs.This result is favorable drilling argument of the developers.