Reservoir production real-time optimization method based on improved random disturbance approximation algorithm

Abstract

The invention provides a reservoir production real-time optimization method based on an improved random disturbance approximation algorithm and belongs to the field of reservoir numerical simulation and optimal control. The method includes (1) giving initial control variables, boundary constraint and economic parameters; (2) supposing an iterative number k = 0, and performing numerical simulation computation to acquire a current NPV value; (3) generating Gauss type perturbation vectors according to spherical model covariance arrays, and computing the random disturbance gradients and an average value thereof; (4) updating the control variables; (5) performing reservoir simulation computation according to the updated control variables to acquire an updated NPV value; (6) judging whether the updated NPV value is larger than the current NPV value or not, if so, continuing the step (7), if not, halving the iteration step Lambda k, and returning to the step (4); (7) judging whether the convergence condition is met or not, if so, continuing the step (8), if not, setting the K = k+1, and returning to the step (3); (8) outputting the optimal control variable, and stopping the computation.

Description

technical field [0001] The invention belongs to the field of oil reservoir numerical simulation and optimal control, in particular to a method for real-time optimization of oil reservoir production based on an improved random disturbance approximation algorithm. Background technique [0002] Optimal design of injection-production policy for oilfield development and production is an important task of reservoir management. Reservoir numerical simulation technology can easily reproduce the entire process of reservoir production and development, and can perform repeated simulation calculations on future oilfield production. Therefore, engineers generally use this technology to design and optimize reservoir injection-production control schemes. Conventional solutions are mostly based on the entire reservoir or well group as a unit, by simulating various production methods of different oil and water wells, different times, and different injection and production volumes, and optimi...

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Problems solved by technology

[0003] Reservoir production optimization is an optimal control problem of system distribution parameters, involving many variables and large dimensions, and it is very difficult to solve it

At present, researchers mainly use the traditional adjoint gradient method to calculate reservoir production optimization, but this method needs to obtain the gradient by writing the adjoint matrix embedded in the reservoir numerical simulation calculation, the solution process is extremely complicated, and each gradient calculation must be done in the reservoir. Under the full conditions of reservoir simulation, forward and reverse calculations are performed twice, which reduces the calculation efficiency of the simulator. At present, it is limited to the theoretical research and application of some conceptual reservoir models, and cannot be applied to the optimization of actual reservoir development and production. solution to meet field application requirements

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