Prospects of gas fields intellectualization by a two-level automatic control system
The paper considers the concept of a system of intelligent control of gas and gas condensate fields based on complex mathematical approaches to modeling, optimization using physical-mathematical models along with neural networks and elements of artificial intelligence. Control system has two-levels and allows to select and maintain the optimal technological mode of a field operation with account of strategic needs and dynamic constraints, using the encapsulated optimization of flow distribution in real time. The design mode is maintained by a network of locally distributed automatic control systems ("autopilots") of wells. This approach to gas and gas condensate field management has an increased degree of controllability and sharply reduces the risk of accidents at wells, and, as a result, leads to a reduction of complications in the operation of a gas field in the whole.