Open AccessImplicit-Discrete-Maximum-Principle-Based Production Optimization in Reservoir Development
Author(s) -
Yijin Zeng,
Yandong Nie,
Shidong Ding
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1732/1/012009
Subject(s) - production (economics) , mathematical optimization , oil field , computer science , development (topology) , development plan , field (mathematics) , maximum principle , matrix (chemical analysis) , reservoir engineering , optimal control , petroleum reservoir , petroleum engineering , mathematics , engineering , petroleum , geology , mathematical analysis , paleontology , civil engineering , materials science , pure mathematics , economics , composite material , macroeconomics
Cost-effective development of proved oil resources is the goal of oil and gas field development workers. One of the ways to achieve this is to make the reservoir development in an optimal state based on the existing production conditions, which is also one of the core contents of intelligent oilfield. This paper proposes a new production optimization control method, which aims to maximize the net present value of reservoir development and production. By solving the mathematical model of development and production, the input and output control parameters of the reservoir are optimized in real time to obtain the optimal production plan. The conventional maximum principle method requires two time series solution calculations. In this paper, the coefficient matrix of the full implicit simulator is used to directly obtain the required adjoint equations. The efficient combination of simulation calculation and gradient solution of discrete maximum principle greatly improves the solution efficiency of the model and saves the calculation time. The reservoir examples are analyzed through theoretical research. The results show that the optimal production scheme is in line with the actual situation of the oilfield, which provides theoretical and technical support for the intelligent oilfield system.