基于测井-地震信息的碳酸盐岩储层裂缝预测方法

发布时间：2018-03-22 08:23

本文选题：裂缝预测　切入点：粗糙集　出处：《石油钻探技术》2017年05期 　论文类型：期刊论文

【摘要】：碳酸盐储层裂缝发育、非均质性强,单一测井或地震方法识别裂缝存在局限性,为此提出了测井-地震信息融合预测碳酸盐岩储层裂缝的方法。首先,将粗糙集理论与裂缝发育程度划分相结合,把权系数问题转化为粗糙集中属性重要性评价问题,根据钻井取心对测井识别的裂缝进行刻度;其次,基于叠前地震方位各向异性预测裂缝发育优势方位及裂缝密度;最后,通过井震标定完成测井与地震尺度匹配,拟合测井裂缝可拓识别结果与叠前地震各向异性检测强度的函数关系,划分地震边缘检测裂缝级别。以实际工区资料为例,进行了碳酸盐岩裂缝测井-地震信息融合的裂缝预测,结果表明:该方法既能提高裂缝预测结果的可靠性,又能对纵向及横向不同尺度的裂缝进行有效识别。研究结果可为碳酸盐岩储层的裂缝预测提供有益的借鉴。
[Abstract]:Carbonate reservoir fracture is developed, heterogeneity is strong, single logging or seismic method to identify fractures has limitations. Therefore, a logging seismic information fusion method is proposed to predict carbonate reservoir fractures. Combining rough set theory with fracture development degree division, the weight coefficient problem is transformed into the importance evaluation problem of attribute of rough set, and the fractures identified by logging are calibrated according to drilling coring. Secondly, The prestack seismic azimuthal anisotropy is used to predict the dominant orientation and fracture density of fractures. Finally, well logging and seismic scale matching are completed by well seismic calibration. Fitting the functional relationship between the extension recognition results of logging fractures and the intensity of seismic anisotropy detection before stack, and classifying the fracture levels of seismic edge detection, taking the actual working area data as an example, Fracture prediction based on carbonate fracture logging and seismic information fusion is carried out. The results show that this method can improve the reliability of fracture prediction results. The results can provide useful reference for fracture prediction of carbonate reservoir.
【作者单位】：油气资源与勘探技术教育部重点实验室(长江大学);长江大学地球物理与石油资源学院;中国石油集团西部钻探工程有限公司测井公司;
【基金】：国家自然科学青年基金项目“碳酸盐岩缝洞型油藏储层物性参数建模”(编号:41402113)部分研究内容
【分类号】：P618.13;P631

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