We present an efficient and risk-informed closed-loop field development (CLFD) workflow for recurrently revising the field development plan (FDP) using the accrued information. To make the process practical. we integrated multiple concepts of machine learning. an intelligent selection process to discard the worst FDP options and a growing set of representative reservoir models. https://foldlyers.shop/product-category/arduino-boards/