齐家北地区高台子油层油水层识别方法
发布时间：2018-07-24 09:07
【摘要】：齐家北地区高台子油层为高含钙致密储层,钙质发育导致部分水层的电阻率大幅提高,高阻水层、油水同层、油层在电测曲线上具有相同的电性特征,给以电测特征为解释基础的油层、油水同层的判别带来极大的困难.针对上述解释技术难题,本文在储层"四性"关系研究的基础上,提出了剥层法:其核心思想是根据各流体类型储层典型的电性特征,将干层、水层、油水同层从其他储层中逐一剥离出来.即依据干层的电性特征,首先将干层与产层区分开;再利用水层识别图版,将水层特别是钙质水层与油水同层区分开;最后利用油层与油水同层解释图版,再将油层与油水同层区分开来.该方法尽可能地降低干层、水层特别是钙质水层对油水同层和油层解释的干扰,提高测井解释符合精度.研究表明:感应测井曲线可反映致密砂岩孔隙中低阻可动水含量,是钙质水层、油水同层解释的敏感曲线;多曲线联合定性识别方法与解释图版相结合可提高油水层测井解释符合率;所建立的测井解释图版精度均达到了90%以上,经过3口实际试油井进行的背对背验证,油层的测井解释符合率达到了100%.
[Abstract]:The Gao Taizi oil reservoir in Qijia north area is a high calcium containing dense reservoir, which leads to a large increase in the resistivity of the part of the water layer, the high resistivity water layer, the oil water and the same layer. The oil layer has the same electrical characteristics on the electrical measurement curve. On the basis of the study of the "four nature" relationship of the reservoir, this paper puts forward the stripping method: the core idea is to peel off the dry layer, water layer and oil and water layer one by one according to the typical electrical characteristics of each type of fluid reservoir. The water layer, especially the calcareous water layer, is separated from the same layer of oil and water. Finally, the plate is explained with the same layer of oil and water, and then the oil and water are distinguished from the same layer. This method reduces the dry layer as much as possible, and the water layer especially the calcareous water layer can interfere with the explanation of the oil and water same layer and the oil layer, and improve the accuracy of the logging interpretation. The curve can reflect the content of low resistance movable water in the pores of tight sandstone, the sensitive curve of the calcareous water layer and the oil and water layer interpretation, and the combination of the multi curve qualitative identification method and the interpretation chart can improve the coincidence rate of the logging interpretation of the oil-water layer. The accuracy of the log interpretation chart is above 90% and has been carried out through 3 actual test wells. Back to back verification, oil well logging interpretation coincidence rate reached 100%.
【作者单位】： 东北石油大学地球科学学院;黑龙江省油气藏形成机理与资源评价重点实验室;大庆油田有限责任公司第八采油厂;大庆油田有限责任公司第九采油厂;
【基金】：2016年国家级大学生创新创业训练计划项目(201610220009)资助
【分类号】：P618.13
[Abstract]:The Gao Taizi oil reservoir in Qijia north area is a high calcium containing dense reservoir, which leads to a large increase in the resistivity of the part of the water layer, the high resistivity water layer, the oil water and the same layer. The oil layer has the same electrical characteristics on the electrical measurement curve. On the basis of the study of the "four nature" relationship of the reservoir, this paper puts forward the stripping method: the core idea is to peel off the dry layer, water layer and oil and water layer one by one according to the typical electrical characteristics of each type of fluid reservoir. The water layer, especially the calcareous water layer, is separated from the same layer of oil and water. Finally, the plate is explained with the same layer of oil and water, and then the oil and water are distinguished from the same layer. This method reduces the dry layer as much as possible, and the water layer especially the calcareous water layer can interfere with the explanation of the oil and water same layer and the oil layer, and improve the accuracy of the logging interpretation. The curve can reflect the content of low resistance movable water in the pores of tight sandstone, the sensitive curve of the calcareous water layer and the oil and water layer interpretation, and the combination of the multi curve qualitative identification method and the interpretation chart can improve the coincidence rate of the logging interpretation of the oil-water layer. The accuracy of the log interpretation chart is above 90% and has been carried out through 3 actual test wells. Back to back verification, oil well logging interpretation coincidence rate reached 100%.
【作者单位】： 东北石油大学地球科学学院;黑龙江省油气藏形成机理与资源评价重点实验室;大庆油田有限责任公司第八采油厂;大庆油田有限责任公司第九采油厂;
【基金】：2016年国家级大学生创新创业训练计划项目(201610220009)资助
【分类号】：P618.13
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1 刘巍;;油水同层潜力分析[J];大庆石油地质与开发;2008年06期
2 郭松梅;王庆杰;;油水同层解释标准及储层参数研究[J];大庆石油地质与开发;2006年S1期
3 韩雪;;低孔低渗复杂油水层的油水同层识别方法[J];中外能源;2009年05期
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