结合灰色关联改进反距离加权插值法的劈分新方法
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长江大学

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TE349

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国家重大科技专项专题“高压注水工艺技术优化”(2016ZX05053-005-002)


New Method of Improving the Inverse Distance Weighted Interpolation Method Based on Grey Correlation
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Yangtze University

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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KH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。

    Abstract:

    The well production cleavage is the important premise for the detailed development of multi-layer reservoirs. The accuracy of production cleavage is the key to improve ultimate recovery, and the stimulation measures at late stage of oilfield development. The normal KH cleavage methods often only consider oil layers‘ static parameter,without considering the influence of inter-layer interference and other related dynamic parameters, it is bound to produce huge errors, and it has been difficult to solve the problem of multi-layer reservoir production cleavage. Therefore, based on the conventional method of production cleavage,with use of the inverse distance weighted interpolation method,construct a new forecast model of production cleavage, and the gray correlation analysis method is used to quantitatively compare the influencing factors in the cleavage coefficient. The main factors affecting the cleavage coefficient are determined, and the production cleavage of the oil well is finally realized. The method is applied to the yield of the X block in the 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.

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引用本文

龙海宁,喻高明,傅宣豪. 结合灰色关联改进反距离加权插值法的劈分新方法[J]. 科学技术与工程, 2019, 19(36): 140-146.
Long Haining,,FU Xuanhao. New Method of Improving the Inverse Distance Weighted Interpolation Method Based on Grey Correlation[J]. Science Technology and Engineering,2019,19(36):140-146.

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  • 收稿日期:2019-05-27
  • 最后修改日期:2019-07-09
  • 录用日期:2019-07-28
  • 在线发布日期: 2020-01-21
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