| 摘要: |
| 根据岩石物理理论,使用相关岩石物理模型分别计算岩石基质、干燥岩石骨架以及饱和岩石的弹性模量,进而计算碳酸盐岩储层的横波速度。基于碳酸盐岩孔隙的形状和连通性,将孔隙划分为孔洞、粒间孔隙、裂隙及泥质孔隙四种类型,对应地分别计算各类孔隙的纵横比和孔隙度,确定碳酸盐岩储层孔隙微结构参数。提出基于自适应遗传算法的矿物组分弹性模量计算方法,使用实测纵波速度作为约束条件反演求取岩石矿物组分的体积模量和剪切模量,确定碳酸盐岩储层的岩性参数。将该横波速度计算方法用于实际研究区的测井资料,取得了较好的效果,证明了方法的有效性,为复杂碳酸盐岩储层预测提供了有利的帮助。 |
| 关键词: 地球物理勘探 油气储层 岩性 碳酸盐岩储层 横波速度 矿物组分弹性模量 孔隙微结构 遗传算法 |
| DOI：10.3969/j.issn.1673-5005.2013.01.007 |
| 分类号::P 631.4 |
| 基金项目:国家“973”计划课题(2013CB228604);国家自然科学基金项目(41004050);国家科技重大专项(2011ZX05030-004-002) |
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| S-wave velocity estimation method in carbonate reservoir |
|
LIU Xin-xin1, YIN Xing-yao1, ZHANG Feng2
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(1.School of Geosciences in China University of Petroleum, Qingdao 266580,China;2.College of Geophysics and Information Engineering in China University of Petroleum, Beijing 102249,China)
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| Abstract: |
| Based on rock physics theory, the elastic modulus of rock matrix, rock frame and the velocities of saturated carbonate rocks were calculated. Considering pore shape and connectivity, pores of carbonate rocks were divided into four types:vugs, interparticle pores, cracks and shale pores. The aspect ratio and porosity of each pore type were calculated. An inversion method based on adaptive genetic algorithm was proposed. The bulk and shear modulus of mineral components were inversed using measured P-wave velocities as a constraint. Based on this description of mineral compositions and pore microstructure, S-wave velocities were calculated using Patchy saturation model. The S-wave velocity estimation method was applied to actual logging data, and the favorable results were obtained. The method can provide benefit for complex carbonate reservoir prediction. |
| Key words: geophysical prospecting petroleum reservoirs lithology carbonate reservoir S-wave velocity mineral elastic modulus pore microstructure genetic algorithm |
