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结合灰色关联改进反距离加权插值法的劈分新方法 被引量:4

New Splitting Method of Improving the Inverse Distance Weighted Interpolation Method Based on Grey Correlation
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摘要 油井产量劈分是多层油藏精细开发的重要前提,产量劈分的准确与否是油田开发后期增产措施的实施和提高最终采收率的关键。常规的地层系数劈分方法往往只考虑油层的静态参数,未考虑层间干扰等相关动态参数的影响,势必产生巨大的误差,已难以解决多层油藏产量劈分问题。为此,在常规劈分方法的基础上,运用反距离加权插值法,构建一种新的产量劈分预测模型,并运用灰色关联分析方法,将劈分系数中各影响因素进行定量化对比,确定出影响劈分系数的主要因素,最终实现油井的产量劈分。该方法应用于Z油田X区块产量劈分,与常规方法相比精度明显提高,符合实际的开发特征,为油藏后期的开发提供了重要的科学依据与指导作用。 The well production split is the important premise for the detailed development of multi-layer reservoirs.The accuracy of production split is the key to implementation of stimulation measures at late stage of oilfield development and improve the ultimate recovery ratio.The conventional formation coefficient split methods often only consider static parameters of the oil layer,without considering the effects of related dynamic parameters such as inter-layer interference,it is bound to produce huge errors,and it has been difficult to solve the problem of multi-layer reservoir production split.Therefore,based on the conventional method of production split,with use of the inverse distance weighted interpolation method,construct a new forecast model of production split,and the gray correlation analysis method is used to quantitatively compare the influencing factors in the split coefficient.The main factors affecting the split coefficient are determined,and the production split of the oil well is finally realized.The method is applied to the block X of Z oilfield,and the precision is obviously improved compared with the conventional method,which is compliance with actual development characteristics,and it provides an important scientific basis and guiding role for the later development of the reservoir.
作者 龙海宁 喻高明 傅宣豪 LONG Hai-ning;YU Gao-ming;FU Xuan-hao(College of Petroleum Engineering,Yangtze University,Wuhan 430100,China)
出处 《科学技术与工程》 北大核心 2019年第36期140-146,共7页 Science Technology and Engineering
基金 国家重大科技专项(2016ZX05053-005-002)资助
关键词 反距离加权插值法 距离权重 灰色关联度分析法 产量劈分 inverse distance weighted interpolation distance weight grey correlation analysis production split
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