Fine log interpretation for oilfields with thin sands and multiple developed layer systems
GUO Zhi1, YANG Shaochun2, JIA Ailin1, SUN Yingying1
1. PetroChina Research Institute of Petroleum Exploration & Development, Beijing 100083, China;
2. School of Geosciences, China University of Petroleum, Qingdao 266580, China
The Yuejin-2 oilfield located in the Qaidam Basin is a typical thin-sand and multiple-developed-layer oilfield characterized by many vertical oil-bearing formations, thick intended intervals, thin single sand body, laterally small scale of sand body, narrow sedimentary facies with dramatic changes, and significantly different reservoir features of sedimentary environments. Taking the N21 reservoir of the Yuejin-2 oilfield as a study object, fine log interpretation models was establised for thin-sand and multiple-developed-layer-system reservoirs according to microfacies zones of different bed systems, and a fine log interpretation was conducted with these models, which improved the interpretation accuracy ratio greatly. A certain progress in the integration, quantification and computer automation of fine log interpretation was made and some methods for fine log interpretation on thin sands and multiple-developed-layer systems were employed as well, which including as following:pre-processing and standardization of log data; automatic division of layers according to the shale content calculated with logging curves; automatic recognition and division of log facies; built up a fine log interpretation models based on sedimentary microfacies of different layer systems; and fine log interpretation according to microfacies of different layer systems. The results showed that it was a favorable way to accurately calculate the reservoir parameters by the log interpretation based on sedimentary microfacies of different lay system.
Li Hao,Liu Shuanglian,Wei Xiuping,et al.Analysis of the problem and strategies in logging interpretation techniques in our country[J].Progress in Geophysics,2010,25(6):2084-2090.
[2]
Aguilera M S,Aguilera R.Improved models for petrophysical analysis of dual porosity reservoirs[J].Petrophysics,2003,44(1):15.
Ding Sheng,Zhong Siying,Zhou Fangxi,et al.A logging interpretation model of physical property parameters confined by diagenetic facies of low-permeability reservoirs in Gaoyou sag[J].Acta Petrolei Sinica,2012,33(6):1012-1017.
Lu Junhua,Jin Yunzhi,Gong Shiyu,et al.Application of the optimization method to complex lithology reservoir log interpretation[J].Well Logging Technology,2008,32(6):542-544.
[8]
Zhu Yixiang,Yuan Shiyi,Liu Mingxin,et al.A New method for effective reservoir recognition using principal component analysis of conventional well-logging interpretation in fractured complex lithologic reservoir[R].SPE 84386,1999.
Deng Shaogui,Fan Yiren,Tong Zhaoqi,et al.Processing method of first kind of operator for enhancing log resolving power[J].Journal of China University of Petroleum:Edition of Natural Science,2006,30(1):52-55.
[10]
雍世和,洪有密.测井资料综合解释与数字处理[M].北京:石油工业出版社,1982:100-120.
Yong Shihe,Hong Youmi.Logging data integrated interpretation and digital processing[M].Beijing:Petroleum Industry Press,1982:100-120.
Huo Chunliang,Gu Li,Zhao Chunming,et al.Intergrated reservoir geological modeling based on seismic log and geological data[J].Acta Petrolei Sinica,2007,28(6):66-71.
[12]
向东进.实用多元统计分析[M].武汉:中国地质大学出版社,2005:19-31.
Xiang Dongjin.Practical multivariate statistics[M].Wuhan:China University of Geosciences Press,2005:19-31.
[13]
马正.应用自然电位测井曲线解释沉积环境[J].石油与天然气地质,1982,3(1):25-40.
Ma Zheng.Utilization of the combination of log shapes for explanation of the sedimentary environment[J].Oil & Gas Geology,1982,3(1):25-40.
Liu Hongqi,Chen Ping,Xia Hongquan,et al.Automatic identification of sedimentary microfacies with log data and its application[J].Well Logging Technology,2006,30(3):233-236.
Feng Jianwei,Dai Junsheng,Ji Guosheng,et al.The quantitative discrimination of architectural elements of fluvial reservoir[J].Acta Sedimentologica Sinica,2007,25(2):207-212.