页岩气储层测井评价与产量“甜点”识别——以美国鹰潭页岩气储层为例

doi:10.3969/j.issn.1672-7703.2017.03.013

摘要/Abstract

摘要： 以美国鹰潭页岩气储层为例，探讨了页岩气储层测井评价方法，分析了影响产量的主控地质因素。该区测井资料以常规系列为主，岩心分析数据比较丰富，分别利用多元统计建模方法与多矿物最优化方法对研究区内关键井的测井资料进行处理解释，经对比分析认为，采用多元统计建模方法计算的储层参数与岩心分析数据符合更好，精度更高。鹰潭页岩气区不同分区的产量差异大，孔隙度是影响产量的主控地质因素，利用地震资料反演纵波阻抗可以预测页岩气产量“甜点区”。

关键词: 鹰潭页岩气, 多元统计, 多矿物最优化, 产量甜点, 主控地质因素

Abstract: In this paper, the Eagle Ford shale play in the USA was taken as an example to discuss the logging-based shale play evaluation methods and identify the main geological factors controlling shale gas production. The logging data of this area is mainly conventional, and the core analysis data is relatively abundant. The logging data of key wells in this area were processed and interpreted by means of multivariate statistics modeling method and multi-mineral optimization method, respectively. The results indicate that the reservoir parameters calculated by the multivariate statistics modeling method are better consistent with core analysis data, presenting higher accuracy. The production is quite different in zones of the Eagle Ford shale play, and it is mainly controlled by porosity. The production sweet spot of shale gas can be predicted by using the P-wave impedance of seismic inversion.

Key words: Eagle Ford shale gas, multivariate statistics, multi-mineral optimization, production sweet spot, main geological factors

中图分类号:

P631.8

余杰, 秦瑞宝, 刘春成, 陈桂华. 页岩气储层测井评价与产量“甜点”识别——以美国鹰潭页岩气储层为例[J]. 中国石油勘探, 2017, 22(3): 104-112.

Yu Jie, Qin Ruibao, Liu Chuncheng, Chen Guihua. Logging evaluation and production “sweet spot” identification of shale play: a case study on Eagle Ford shale play in the USA[J]. China Petroleum Exploration, 2017, 22(3): 104-112.

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