Application of Digital Twin Technology to 3D Seismic Iterative Processing and Dynamic Geological Modeling- A Case Study from China

Abstract

Abstract With the continuous increase in domestic energy demand, China has increased the exploitation of domestic oil and gas resources in recent years to ensure national energy security and reduce foreign energy dependence, resulting in a significant increase in the number of wells drilling operation. In order to reduce drilling risks and achieve drilling performance, it is necessary to carry out iterative update processing of 3D seismic data. The research results can effectively reduce the uncertainty of geological cognition, and realize the efficient development of oil and gas resources. Firstly, the pre-drill geological risk and well risk analysis was carried out to clarify the types of drilling risks. Secondly, a pre-drill geological model based on 3D seismic data was established, It is used for the pre-drilling plan optimization design and well deployment; then, based on the pre-drilling 3D geological model, the real-time tracking study of the model is carried out through various kinds of data during the drilling process, the parameters such as azimuth gamma are used to predict the sand body parts encountered by the drill bit, and the geological model is constantly revised. During the drilling process, the evaluation of seismic data processing results and data iteration were guided actual drilling, and an integrated evaluation system of seismic data prediction results was formed to effectively predict risks and provide early warnings. Integrated drilling and logging data, combined with regional geological characteristics supported the drilling of horizontal well sections. Carry out seismic tracking data evaluation, summarize the advantages and application scenarios of different data, improve the target of tracking, and effectively reduce risks. Depth domain data has higher accuracy in identifying the dip angle and fracture location in the horizontal section and combined with high-resolution processing, can effectively support the implementation of well trajectory in the horizontal section.