3D Permeability Characterization Based on Pore Structure Analysis and Multi-Parameters Seismic Inversion and Its Application in H Oilfield

Xin Chen, Guihai Wang, Zhaofeng Wang, Zundou Liu, Zhaowei Liu, Yi Cui, Wenyuan Tian, Xiaodong Wei, Liugen Hou, Ke Yang, Gang Chen, Yaliang Xia, Xiao Yan, Zeren Zhang, Jingluan Liu
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引用次数: 1

Abstract

To improve the accuracy of permeability prediction, seismic constraint and sedimentary facies has often been adopted in conventional methods. However, it is porosity that both of them constrain, rather than permeability, and different pore structure with different permeability, the accuracy of permeability prediction cannot be radically improved. To address the problem of permeability prediction in carbonate reservoir, new permeability prediction technique workflow were summarized based on pore structure analysis and multi-parameters seismic inversion: division reservoir types based on the pore structure, construction of the rock types identification curve, carry out a rock type inversion and a porosity inversion constrained by seismic impedance respectively, and then get a final permeability prediction volume according to the porosity-permeability relationship and pore structure of core samples. It breaks the bottleneck that is difficult for seismic impedance (continuous variable) to constrain rock type (discrete variable), then constrains pore structure (continuous variable) related to rock type instead, and converts it into rock type using multi-parameters seismic inversion. According to the certification of new wells, this workflow have been applied successfully in carbonate reservoir of H oilfield in Middle East, it not only improves the prediction of rock type in space, but also permeability prediction accuracy.
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基于孔隙结构分析和多参数地震反演的三维渗透率表征及其在H油田的应用
为了提高渗透率预测的精度,常规方法中往往采用地震约束和沉积相的方法。但两者约束的是孔隙度,而非渗透率,不同的孔隙结构对应不同的渗透率,渗透率预测精度无法从根本上提高。针对碳酸盐岩储层渗透率预测问题,总结了基于孔隙结构分析和多参数地震反演的新型渗透率预测技术流程:根据孔隙结构划分储层类型,构建岩石类型识别曲线,分别在地震阻抗约束下进行岩石类型反演和孔隙度反演,根据岩心样品的孔渗关系和孔隙结构得到最终渗透率预测体积。它突破了地震阻抗(连续变量)难以约束岩石类型(离散变量)的瓶颈,转而约束与岩石类型相关的孔隙结构(连续变量),并利用多参数地震反演将其转化为岩石类型。通过新井验证,该工作流程已在中东H油田碳酸盐岩储层成功应用,既提高了空间岩石类型预测,又提高了渗透率预测精度。
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