利用多级模糊评判法优选哈法亚油田人工举升方式

2017年 39卷 第5期
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Optimization of artificial lift modes in Halfaya Oil field by means of multi-level fuzzy evaluation method
王青华 杨军征 陈诗波 綦宗金 杨茜茜 张敖
WANG Qinghua YANG Junzheng CHEN Shibo QI Zongjin YANG Qianqian ZHANG Ao
中国石油勘探开发研究院工程技术中心 中油集团长城钻探工程有限公司 北京奥伯特石油科技有限公司
哈法亚油田位于伊拉克东南部,含油层系较多,不同层系在生产中存在生产气油比高、含硫、出砂、沥青析出等诸多生产问题,给人工举升方式的选择带来了较大挑战。为了针对不同层系特性选择相适应的人工举升方式,综合考虑油藏特征、流体物性、井筒条件、举升设备特点及资金成本等众多因素,采用多级模糊评价方法建立了哈法亚油田目标层系人工举升方式影响因素的综合评价模型,结合油田生产现状,计算各类举升方式的决策因子,分层系优选出了最佳的人工举升方式。油田先导性试验表明:优选结果的实际应用效果在技术上适应性良好,经济上成本控制合理,为油田后期全面转人工举升开采提供了技术指导和经验借鉴。
Halfaya Oil field is located in the southeast of Iraq. There are more oil-bearing series of strata and they are faced with many production problems (e.g. high producing gas/oil ratio, sulfur bearing, sand production and asphalt precipitation), which bring great challenges to the selection of artificial lift modes. To select the artificial lift mode suitable for the characteristics of each series of strata, multiple factors were taken into consideration comprehensively, including oil reservoir characteristic, fluid physical property, borehole condition, lifting equipment characteristic and capital cost, and a comprehensive evaluation model for evaluating the factors in fl uencing the artificial lift modes of the target layers in Halfaya Oil field was established by means of multi-level fuzzy evaluation method. Then, based on the production status of this oil field, the decision making factor of each lift mode was calculated and the optimal lift mode was selected specifically for each series of strata. The pilot test in the oil field shows that the optimized model is practically applied well with good technical suitability and rational economic cost control. It provides the technical guide, experience and reference for the full-scale artificial lift production of the oil field in the later stage.
高气油比; 出砂; 沥青析出; 人工举升方式优选; 适应性分析; 多级模糊评价; 决策因子;
high gas/oil ratio; sand production; asphalt precipitation; optimization of artificial lift; adaptability analysis; multi-level fuzzy evaluation; decision making factor;
10.13639/j.odpt.2017.05.012