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不同储层射孔参数适用性评价技术研究 被引量:2

Applicability evaluation technology of perforating parameters in different reservoirs
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摘要 射孔参数对油气井产能有着重要的影响,目前对射孔参数的优选大都基于单因素分析,缺乏多因素的综合分析评价。笔者应用有限元模拟的方法,开展不同储层条件下射孔参数对井口流量影响规律的分析研究,首先建立射孔完井储层压降的几何模型,进行射孔后流体流动模拟研究,得到均质储层、各向异性储层、裂缝性储层的射孔参数、各向异性参数及天然裂缝参数对储层压力场及渗流场的影响规律。定量计算孔深、孔密、孔径、相位角、污染带深度及污染程度等参数与井口流量的关系,并设计不同储层不同射孔方式下射孔参数多因素分析的正交实验,得到每种工况下的井口流量。然后利用灰色关联理论分析在不同储层条件、不同射孔方式下各参数与井口流量之间的灰色关联系数,进而对各参数进行适用性评价,并形成射孔参数优化设计软件。保证套管抗挤毁能力降低不超过5%,以射孔完井产能比最大为目标,针对实际射孔参数组合,结合F油田进行射孔参数优化,给出了不同储层、不同射孔方式下射孔优化方案。最后对射孔参数进行敏感性分析,得到射孔深度、相位角、孔密的变化对定向井产能的影响规律,随着孔深、孔密的增加水平井日产量和累产量均逐渐增加,45°相位角时油井日产量与累产量均高于0°相位角。基于有限元模拟的正交实验实现了射孔参数的多因素综合评价,灰色关联法提高了射孔参数权重的可靠性,本研究为射孔参数合理范围优选提供依据。 Perforating parameters have an important impact on the productivity of oil and gas wells.Currently,the optimization of perforating parameters is mostly based on single factor analysis,with no multi-factor comprehensive evaluation analysis performed.In this paper,the finite element simulation method was used to analyze and study the influence law of perforating parameters on wellhead flow under different reservoir conditions.Firstly,a geometric model of pressure drop in reservoir with perforation completion was established to simulate the fluid flow after perforation.In this way,the influence laws of perforating parameters,anisotropy parameters and natural fracture parameters on the pressure and seepage fields of homogeneous reservoir,anisotropic reservoir and fractured reservoir were obtained.On this basis,the relationship between the parameters,such as hole depth,hole density,hole size,phase angle,pollution zone depth and pollution degree,and the wellhead flow was calculated quantitatively.Meanwhile,orthogonal experiment was designed for the multi-factor analysis of perforating parameters under different perforation modes in different reservoirs,and the wellhead flow under various working conditions was obtained.Then,the grey correlation coefficient between the parameters and wellhead flow under different reservoir conditions and different perforation methods was analyzed with the grey correlation theory.Then,the applicability of the parameters was evaluated,and the optimization design software of perforating parameters was formed.To ensure that the casing collapse resistance is reduced by no more than 5%,and to maximize the perforation completion productivity ratio,the perforation optimization scheme under different reservoirs and different perforation modes was given according to the actual perforating parameter combinations and the optimization of perforating parameters combined with F oilfield.Finally,the sensitivity analysis of perforating parameters was carried out,obtaining the influence law of perforation depth,phase angle and hole density on the productivity of directional well.With the increase of hole depth and density,the daily production and cumulative production of horizontal well gradually increases.Specifically,the daily production and cumulative production of well at 45°phase angle were both higher than that at the phase angle of 0°.Through the orthogonal experiment based on the finite element simulation,the multi-factor comprehensive evaluation of perforating parameters was realized,and the reliability of the weight of perforating parameters was improved with the grey correlation method.Generally,this study provides a basis for the reasonable range and optimization of perforating parameters.
作者 毕刚 吴捷敏 杨尚谕 李蒙蒙 韩斐 汪鑫 崔颖 BI Gang;WU Jiemin;YANG Shangyu;LI Mengmeng;HAN Fei;WANG Xin;CUI Ying(College of Petroleum Engineering,Xi’an Shiyou University,Xi’an 710065,China;Shaanxi Key Laboratory of Well Stability and Fluid&Rock Mechanics in Oil and Gas Reservoirs,Xi’an 710065,China;China Petroleum Engineering Materials Research Institute Co.,Ltd.,Xi’an 710077,China)
出处 《煤田地质与勘探》 EI CAS CSCD 北大核心 2023年第7期80-91,共12页 Coal Geology & Exploration
基金 国家自然科学基金项目(52104033) 西安石油大学创新与实践能力培养计划(YCS22213043) 陕西省自然科学基础研究计划项目(2023-JC-YB-361)。
关键词 油气储层 射孔参数 灰色关联 产能预测 敏感性分析 oil and gas reservoir perforating parameter grey correlation productivity prediction sensitivity analysis
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