公开(公告)号：US20220298907A1

公开(公告)日：2022-09-22

申请号：US17619304

申请日：2019-12-31

Applicant: Landmark Graphics Corporation

Inventor： Venugopal Devarapalli ,  Srinath Madasu ,  Shashi Dande ,  Keshava Prasad Rangarajan

IPC: E21B44/00 ,  G06N3/08 ,  G06N3/04 ,  E21B7/04

Abstract: Certain aspects and features relate to a system for trajectory planning and control for new wellbores. Data can be received for multiple existing wells associated with a subterranean reservoir and used to train a deep neural network model to make accurate well property projections at any other location in the reservoir. A model of features for specific well locations based on seismic attributes of the well location can be automatically generated, and the model can be used in drilling trajectory optimization. In some examples, the system builds a deep neural network (DNN) model based on the statistical features, and trains the DNN model using Bayesian optimization to produce an optimized DNN model. The optimized model can be used to provide drilling parameters to produce an optimized trajectory for a new well.