Design and Practice of Fine Reservoir Description Results Management System

As oilfield development advances into its mid-to-late stages, more reservoirs are undergoing detailed reservoir characterization, resulting in vast data assets. However, existing results management systems still face challenges such as incomplete foundational data, lack of standardized specifications, high subjectivity in reviews, and difficulties in deepening application of results. This paper systematically analyzes the current state and challenges of fine reservoir description results management, proposing a comprehensive data management and quality control system based on project lifecycle management principles. The framework emphasizes standardized deliverables, intelligent quality inspection, closed-loop processes, and integrated platforms. Additionally, an intelligent management platform for fine reservoir description results was designed and developed. Application validation demonstrated significant improvements in results accuracy, review efficiency, and advanced application rates. The findings suggest that establishing a unified, quality-controllable, and platform-integrated management model is an effective strategy for enhancing reservoir description quality and supporting efficient oilfield development.