基于地质成因的多参数碳酸盐岩储层定量评价

doi:10.11885/j.issn.1674-5086.2018.04.25.02

摘要/Abstract

摘要： 研究区碳酸盐岩储层孔隙类型多样、孔隙结构复杂、储层非均质性强，平面上单井产能差异明显。通过毛管压力曲线特征分析，采用流动带指数法将储层划分为6个流动带，建立了不同流动带的高精度渗透率解释模型。在对储层主控因素认识的基础上，优选储层厚度、渗透率非均质程度系数、电阻率、孔隙度、泥质含量及古地貌等6个参数，利用灰色关联分析法确定了各评价参数的权重，进而采用“综合评价指标”对储层进行定量分类评价。结果表明，单井储层综合评价结果与实际产能之间具有较好的正相关性。进一步分析认为综合利用流动带指标法进行渗透率精细解释、灰色关联法确定指标权重和综合评价指标进行分类评价具有较高的可靠性。该方法能够快速有效地指导油藏研究和井位部署，为类似碳酸盐岩储层评价提供了新的思路。

关键词: 流动带指数, 主控因素, 灰色关联, 定量评价, 碳酸盐岩

Abstract: Carbonate reservoir in the study has various pore types, complex pore structure and strong heterogeneity, which cause obvious difference of single well productivity on the plane. Based on the analysis of capillary pressure curves, the reservoir can be divided into six flow zones by the flow zone index, and the high precision permeability interpretation model of each flow zone was established. Through the analysis of reservoir main controlling factors, selecting six parameters such as reservoir thickness, permeability heterogeneity coefficient, resistivity, porosity, shale content and paleogeomorphology, using the gray correlation analysis method to determine the weight of each evaluation parameter, and adopting the comprehensive evaluation index for quantitative classification of carbonate reservoir. The results show that the comprehensive evaluation result of single well is accordance with the actual productivity index. Further analysis shows that it is of high reliability by using the flow zone index method to interpret the permeability, adopting the gray correlation method to determine index weight, and applying the comprehensive evaluation index to evaluate the reservoir. This systematic method can be effective and efficient for guiding the reservoir research and well deployment, and providing a new thought for similar carbonate reservoir evaluation as well.

Key words: flow zone index, main controlling factors, gray correlation, quantitative evaluation, carbonate

中图分类号:

TE122

陈培元, 王峙博, 郭丽娜, 王龙, 齐明明. 基于地质成因的多参数碳酸盐岩储层定量评价[J]. 西南石油大学学报(自然科学版), 2019, 41(4): 55-64.

CHEN Peiyuan, WANG Zhibo, GUO Lina, WANG Long, QI Mingming. Multi-parameters Quantitative Evaluation for Carbonate Reservoir Based on Geological Genesis[J]. 西南石油大学学报(自然科学版), 2019, 41(4): 55-64.

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