Gas Field Development Planning Optimization Model And Its Solution Algorithm Research

This paper starts from the investigation and analysis for the gas-oil field's development and programming methods from abroad to nation, and the dynamic analysis and prediction of the gas field development and programming system to achieve isomorphic function by fitting the historical data. Make use of the function simulation theory to establish the system's in-out relation, and on the basis of this relation, the prediction models are set up. And then according to different goals, establish production distribution optimal model, production constitute optimal model and measure production constitute optimal model (including single-objective and multi-objective, single-year and five-years models ). There are mainly several aspects for the work as following:(1) Base on the natural gas engineering, take some gas-field for example, concretely analyze each production's constitution of the gas-field and each gas-collected factory, make use of AHP to analyze qualitatively the relations between each production and its own influence factors. On this basis, according to historical data, apply ANN and differential simulation method to get the quantitatively correlative relations between each production and its own influence factors, and introduce the new methods of prediction for dynamic indexes with gas-field development (The combinatorial prediction method based on fuzzy comprehensive evaluation, the method of ANN to select optimally combinatorial prediction models and the ANN prediction method based on genetic algorithm).(2) Base on mathematical programming, combine with quantitative economics and techno-economics, introduce economical indexes to establish production's distribution optimal model, production's constitution optimal model and measured production's constitution optimal model, including multi-objective models and five-years models. Upon this, the optimal project for all gas field and each gas-collected factory can be got. Also, introduce the time value of capitals to improve on these models.(3) Base on the optimal solution theory and algorithm theory for the nonlinear programming problem, introduce the SUMT algorithm and genetic algorithm to study how to solve the models, and on the basis of normal genetic algorithm, make use of auto-adaptively modulating method to improve on normal genetic algorithm; Base on algorithm's convergence theory and calculation's complexity theory to analyze seriatim SUMT algorithm's convergence and genetic algorithm's convergence, and compare performance with each other.(4) Apply the prediction methods and the models to factual manufacture course of domestic some gas-field, get examples which are relative to the prediction methods and the models, The results show that the prediction methods, the models and algorithms have definite sense for actual application.