Abstract: The invention described herein proposes that the study of pressure loss in an intelligent completion valve (ICV) is carried out considering both different annular flows and the existence of an axial flow coming from an upstream zone. To study pressure losses in ICVs in detail, the CFD-based methodology (Computational Fluid Dynamics) was adopted, where the geometry of a valve can be well represented by a detailed numerical simulation mesh, which allows high precision results. The invention described herein proves that when more than one completed interval produces simultaneously, a phenomenon that we call fluid confluence occurs, and this is responsible for an additional pressure loss. When there is a confluence of fluids, the pressure loss in the valve depends on both the flow coming from the annulus and the flow coming from upstream zones.

Abstract: Systems, devices, and methods including: receiving, by an interpreter component having a processor with addressable memory, a first state of a tool of a computer numerical control (CNC) machine; determining, by the interpreter component, a reward and a value of the reward based on the received first state, where the reward is at least one of: positive and negative; transmitting, by the interpreter component, a set of information comprising the determined reward and the value of the reward to an agent component; performing, by the agent component, at least one action to generate a tool path and to proceed to a second state, where the second state is combined with the first state; and determining, by the agent component, the generated tool path based on the determined reward and value associated with the at least one action.

Abstract: Systems, devices, and methods including: receiving, by an interpreter component having a processor with addressable memory, a first state of a tool of a computer numerical control (CNC) machine; determining, by the interpreter component, a reward and a value of the reward based on the received first state, where the reward is at least one of: positive and negative; transmitting, by the interpreter component, a set of information comprising the determined reward and the value of the reward to an agent component; performing, by the agent component, at least one action to generate a tool path and to proceed to a second state, where the second state is combined with the first state; and determining, by the agent component, the generated tool path based on the determined reward and value associated with the at least one action.