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基于增量和存量的油田效益开发优化模型 被引量:8

Optimization model for oilfield benefit development based on existed/incremental production
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摘要 伴随着油田"增量-存量"管理模式的推广,以往的开发规划优化模型已不适应油田开发规划的总体要求。结合油田中长远开发规划的特点,定义了适用于开发规划的增量和存量的概念。以新区新井和老区新井工作量为决策变量,以油田实际要求、关系和规律模型为约束,以效益最大、投资最小和成本最小为目标,建立增量构成油田效益开发优化模型,以实现储量、工作量、产油量、投资、成本和效益的一体化优化。利用内点法对模型进行求解,并应用于某水驱油田的"十三五"开发规划。应用结果表明:由于新区增量比老区增量效益更好,因此在满足老区增量约束的条件下,剩余投资全部投向新区增量,体现了以效益为中心的规划优化。该模型的建立可为"增量-存量"模式下油田效益优化决策提供思路和方法。 With the promotion of'existed/incremental production'management mode in oilfield,previous optimization model cannot meet the overall requirements of oilfield development planning. According to the reality of the middle-long term development planning of the oilfield,a concept for exited/incremental production suitable for the development planning was defined. An optimization model of incremental production composition was established taking new wells in developed area and undeveloped area as decision variables,actual oilfield requirements,relations and laws as constraint factors,and the maximum profit and minimum investment and cost as the goal. And then integrated optimization of reserves,workload,oil production,investment,cost and profit may be realized. The model was solved by using interior-point method,and was applied to development planning of certain waterflooding oilfield for the'13th Five-year Plan'. The application indicates that the benefits of new wells in the undeveloped areas are much more than those in the developed areas. So all remaining investments turn to new wells in the undeveloped areas,which reflects the optimization for benefit-centered planning after the minimum demands for the developed areas were met. The established model provides the ideas and methods for the optimized decision-making under'existed/incremental production'management mode.
出处 《油气地质与采收率》 CAS CSCD 北大核心 2015年第6期102-106,共5页 Petroleum Geology and Recovery Efficiency
关键词 开发规划 增量 存量 优化模型 效益优化 指标预测 development planning incremental production existed production optimization model benefit optimization index prediction
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