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利用测井信息预测火成岩缝洞储集层压后产量
引用本文:张兆辉,杜社宽,张顺存.利用测井信息预测火成岩缝洞储集层压后产量[J].天然气地球科学,2020,31(8):1185-1194.
作者姓名:张兆辉  杜社宽  张顺存
作者单位:1.中国科学院西北生态环境资源研究院/甘肃省油气资源研究重点实验室,甘肃 兰州 730000;2.中国科学院大学,北京 100049
基金项目:国家科技重大专项“准噶尔盆地深层火山岩储集体形成演化与分布预测”(2011ZX05008-003);甘肃省自然科学基金“电成像测井资料处理成像及定量应用新方法研究”(17JR5RA313);甘肃省重点实验室专项(1309RTSA041)
摘    要:基于火成岩缝洞储集层压后气体分阶段流动特征的研究,应用测井信息定量表征气体流量主控因素,提出一种火成岩缝洞储集层参数相互弥补评价模型预测压后天然气日产量的方法。该方法以描述可压缩流体流动的Hagen?Poiseuille定律为基础,根据火成岩缝洞储集层压后气体在不同流动阶段的路径不同特征,明确火成岩缝洞储集层压后天然气日产量的主要影响因素是基质孔隙和裂缝网络及二者匹配关系,建立基质孔隙、裂缝网络及岩性体厚度相互弥补评价模型,通过多元非线性回归确定出模型中各储层参数对日产量的贡献因子,最终实现火成岩缝洞储集层压后测井产量预测。将此方法应用于准噶尔盆地滴西地区石炭系火成岩缝洞储集层,预测结果与实际试气结果吻合较好,为火成岩缝洞储集层试气选层提供了准确的依据。

关 键 词:准噶尔盆地  石炭系  火成岩缝洞储集层  测井信息  贡献因子  产量预测  
收稿时间:2020-02-11

Fractured production prediction for fracture-vug igneous reservoirs using logging data
Zhao-hui ZHANG,She-kuan DU,Shun-cun ZHANG.Fractured production prediction for fracture-vug igneous reservoirs using logging data[J].Natural Gas Geoscience,2020,31(8):1185-1194.
Authors:Zhao-hui ZHANG  She-kuan DU  Shun-cun ZHANG
Affiliation:1.Northwest Institute of Eco?Environment and Resources, Chinese Academy of Sciences/Key Laboratory of Petroleum Resources, Gansu Province/, Lanzhou 730000, China;2.University of Chinese Academy of Sciences, Beijing 100049, China
Abstract:Based on the study of gas flow characteristics in fracture-vug igneous reservoirs after fracturing, a new method of predicting daily production of natural gas after fracturing by a mutually compensating evaluation model of fracture-vug reservoirs parameters is proposed, in which all kinds of logging data are used to quantitatively characterize the main controlling factors of natural gas flow. Firstly, based on Hagrn-Poiseuille’s law of compressible fluid flow and the different flow path in different flow period in fractured-cave igneous reservoirs, clearing the main influencing factors of daily gas production after fracturing in fracture-vug igneous reservoirs are matrix pore and fracture network and their matching relationship. Then, the mutually compensating evaluation model was established using matrix porosity and fracture development ratio and lithologic body thickness, and the contribution index of reservoir parameters in prediction model was decided by multivariate non-linear regression. Finally, production prediction after fracturing of fracture-vug igneous reservoir was realized by using logging data. The method has been applied to Carboniferous fracture-vug igneous reservoirs in the Dixi area in Junggar Basin, and the predicted results are in good agreement with the natural gas testing data, providing the optimization of gas testing reservoir in fracture-vug igneous reservoirs.
Keywords:Junggar Basin  Carboniferous  Fracture-vug igneous reservoirs  Logging data  Contribution index  Production prediction  
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