Improving estimates of recoverable oil with increased drilling density through applying 3D property volumes

This study presents a cloud-based, fully integrated workflow for evaluating the impact of drilling density on EUR, recovery factors, and NPV at both the per-well and drilling-unit levels. We demonstrate the value of applying 3D reservoir property volumes to quantify original oil in place (OOIP) per well, enabling a data-driven assessment of when recovery factors plateau with increased well density. A case study of 4,386 horizontal wells in southern Midland and northern Upton County (Midland Basin) shows that EUR per well declines as drilling density increases, while recovery factors stabilize beyond an optimal spacing threshold. By integrating 3D property modeling with production and economic analysis, this workflow offers a scalable, automated solution for optimizing well spacing decisions across large datasets. The cloud-enabled framework allows operators to rapidly assess well density impacts, ensuring efficient resource development and maximizing economic returns.