| 鄂尔多斯盆地西南部镇泾油田延长组致密砂岩储层裂缝测井识别 |
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| 引用本文： | 赵永刚,潘和平,李功强,骆淼.鄂尔多斯盆地西南部镇泾油田延长组致密砂岩储层裂缝测井识别[J].现代地质,2013,27(4):934-940. |
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| 作者姓名： | 赵永刚 潘和平 李功强 骆淼 |
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| 作者单位： | (1.中国石化华北石油局 测井公司，河南 新乡453700；2.中国地质大学 地球物理与空间技术学院，湖北 武汉430074) |
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| 摘 要： | 低孔低渗致密砂岩储层的测井评价和开发难度较大，裂缝发育情况对这类储层的产能影响十分重要。为了利用常规测井资料实现致密砂岩储层裂缝发育情况的评价，基于井径、电阻率、密度、声波等常规测井曲线计算出8个裂缝指示参数，然后利用这8个参数构建了一个裂缝综合识别参数。该裂缝综合识别参数对裂缝的识别正确率更高。将这一套方法应用于鄂尔多斯盆地西南部镇泾油田延长组致密砂岩储层裂缝识别，对于所有样本，裂缝综合指标法识别正确率为81.4%以上。本研究给出的方法对于利用常规测井资料评价致密砂岩储层的裂缝发育情况和有效性提供了一种途径，对致密砂岩储层的勘探开发有一定的帮助。
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| 关 键 词： | 镇泾油田 致密砂岩储层 裂缝识别 测井 |
Logging Identification for the Tight Sandstone Reservoir Fractures of Yanchang Formation in Zhenjing Oilfield of Southwestern Ordos Basin |
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| ZHAO Yong-gang
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PAN He-ping
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LI Gong-qiang
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LUO Miao.Logging Identification for the Tight Sandstone Reservoir Fractures of Yanchang Formation in Zhenjing Oilfield of Southwestern Ordos Basin[J].Geoscience——Journal of Graduate School,China University of Geosciences,2013,27(4):934-940. |
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| Authors: | ZHAO Yong-gang PAN He-ping LI Gong-qiang LUO Miao |
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| Institution: | （1.Logging Company of Huabei Petroleum Administration Bureau, SINOPEC, Xinxiang, Henan453700，China; 2. Institute of Geophysics & Geomatics, China University of Geosciences, Wuhan，Hubei430074, China) |
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| Abstract: | It is very difficult to evaluate low porosity and low permeability sandstone reservoirs and to develop these reservoirs using logging data. The fracture development could affect the production of this type of reservoir and is very important. In order to take advantage of conventional logging data to evaluate tight sandstone reservoir fracture development, in this paper, based on the caliper, resistivity, density and sonic logging curves, eight fracture indication parameters were calculated. Then an integrated recognition parameter of fracture was constructed by using the eight parameters.The integrated parameter for recognizing fractures was more correct. This method was used for the identification of tight sandstone reservoir fracture in Zhenjing oilfield of southwest of the Ordos Basin and the correct rate is 81.4% for all samples. Therefore, this paper provides a way for the use of conventional logging data to evaluate the fracture development and effectiveness of tight sandstone reservoirs, and it is valuable to the exploration and development of tight sandstone reservoirs. |
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| Keywords: | Zhenjing oilfield tight sandstone reservoir fracture identification logging |
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