Study on Digital Twin Technology to 3D Seismic Iterative Processing and Geological Modeling for Reservoir Development

Abstract For an already established 3D geologic model, the accuracy of model correction only by seismic and well data is not high. Seismic-driven modeling, a modeling method that fully integrates seismic data, can fully explore the potential information in seismic data and convert seismic residuals into corrections of model errors through seismic driving to realize the updating and correction of the model. Based on this, this paper proposes the seismic forward loop iterative model correction technique and describes the technical process of this method with the example of the actual work area. The qualitative and quantitative evaluations of the model correction results are carried out by seismic comparison and well comparison techniques, and the results show that this method can reduce the cumulative error of the model correction, make the model closer to the real value, and better characterize the non-homogeneity of the reservoir and the distribution law of natural fractures. Based on the shale gas production well area of Changning Company, this project focuses on the research of different natural fracture prediction and the reliability evaluation method of the prediction results and explores the influence of different natural fractures on drilling and fracturing to form a more perfect and effective prediction and evaluation system of natural fractures in deep shale gas. The research results will guide the prediction of natural fractures in shale gas production zones, which will help improve the scientificity and adaptability of the design of engineering parameters in study area.