Discussion On RGB Fusion Method Of Seismic Attributes And Dynamic Data

The integration of seismic with production data becomes more and more demanding in reservoir development.Traditionally,the integration either uses a seismic attribute to correlate with the production data or uses the reservoir model to reconcile with the production history,particularly in the area of time-lapse seismic.However,how to integrate 3D seismic with production data remains a challenge.With the development of seismic reservoir dynamic monitoring technology and the 3D seismic technology in the later period,seismic data can be increasingly applied to the field of reservoir engineering.Through the study of attribute fusion,this paper focuses on the fusion of dynamic data and seismic attributes as a new highlight of seismic interpretation.Instead of using three seismic attributes for the three base colors,R(red),G(green)and B(blue)for fusion,the new approach replaces one component with the production data or a dynamic attribute.Therefore,after the study of seismic attributes and reservoir dynamics,firstly this paper takes model data as an example data,extract data to verify the feasibility of RGB technology.Then this paper takes LM field as an example data,the appropriate stratum is selected to extract the seismic attributes.The sensitive attributes are optimized according to the statistical analysis of data statistics and preprocessed.The production data are always at the well locations.In order to integrate with seismic attributes,the production data based attribute,such as water-cut,is converted to an estimated spatial distribution over time.Via visualization over time,it would be a good tool to compare the spatial variation of the production attribute with that of the seismic attributes.The estimated dynamic attribute,which is derived from either the production data or the simulation model,is integrated into the RGB fusion.The proposed approach is applied to a mature field.It shows good consistency between the reservoir dynamics with the seismic attributes.This is helpful in understanding the dynamic behavior and the potentials by combining seismic attributes and production data.