公开(公告)号：US20220164657A1

公开(公告)日：2022-05-26

申请号：US17534076

申请日：2021-11-23

Applicant: Chevron U.S.A. Inc.

Inventor： Jincong HE ,  Xian-Huan WEN ,  Meng TANG ,  Chaoshun HU ,  Shusei TANAKA ,  Kainan WANG

IPC: G06N3/08 ,  G06N3/04

Abstract: Embodiments of generating a field development plan for a hydrocarbon field development are provided herein. One embodiment comprises generating a plurality of training reservoir models of varying values of input channels of a reservoir template; normalizing the varying values of the input channels to generate normalized values of the input channels; constructing a policy neural network and a value neural network that project a state represented by the normalized values of the input channels to a field development action and a value of the state respectively; and training the policy neural network and the value neural network using deep reinforcement learning on the plurality of training reservoir models with a reservoir simulator as an environment such that the policy neural network generates a field development plan. A field development plan may be generated for a target reservoir on the reservoir template using the trained policy network and the reservoir simulator.