致密气藏水平井测井产能预测方法研究
|
摘要
苏里格气田×区具有孔隙度小、渗透率低、孔隙结构复杂、各向异性和非均质性强等特点。在水平井开发过程中,由于测井系列少,水平段物性变化大,难于给出合适的解释标准,多级分段压裂难以优选射孔层段,评价水平井产能成为难点。通过构建综合反映储层物性、岩性、电性的综合指数,对水平段分段分级评估,基于简化油藏渗流模型,利用测井资料分别计算各类储层的产能指数,与试油资料相结合得到了该区的产能预测模型。应用综合指数能很好地划分储层类型并指导射孔层段的优选,该产能预测方法只需测井参数,操作简单,预测精度高。
The X area of Sulige gas field has the characteristics of low porosity, low permeability, complex pore structure, strong anisotropy and heterogeneity. During the development with horizontal wells, it was difficult to establish appropriate interpretation standard, select which intervals to perforate when fracturing at multiple stages, and therefore hard to evaluate the productivity of the horizontal wells, because of insufficient log data and different reservoir physical properties of the horizontal sections. In this study, comprehensive indicators are introduced to reflect the lithologic, physical and electrical properties of reservoirs, so that the horizontal sections can be classified and evaluated. Then based on a simplified reservoir seepage model, the productivity of every reservoir is calculated using logging data. Finally, a productivity prediction model of a block is built by considering well test data. Comprehensive indicators can be used to classify reservoirs and select intervals to perforate. Only with logging parameters, the productivity prediction method is very easy to use and gives very accurate prediction.
The X area of Sulige gas field has the characteristics of low porosity, low permeability, complex pore structure, strong anisotropy and heterogeneity. During the development with horizontal wells, it was difficult to establish appropriate interpretation standard, select which intervals to perforate when fracturing at multiple stages, and therefore hard to evaluate the productivity of the horizontal wells, because of insufficient log data and different reservoir physical properties of the horizontal sections. In this study, comprehensive indicators are introduced to reflect the lithologic, physical and electrical properties of reservoirs, so that the horizontal sections can be classified and evaluated. Then based on a simplified reservoir seepage model, the productivity of every reservoir is calculated using logging data. Finally, a productivity prediction model of a block is built by considering well test data. Comprehensive indicators can be used to classify reservoirs and select intervals to perforate. Only with logging parameters, the productivity prediction method is very easy to use and gives very accurate prediction.
引文
[1] 周灿灿,王昌学.水平井测井解释技术综述 [J].地球物理学进展,2006,21(1):152-160.
[2] 程庆昭,魏修平,宿伟.水平井测井解释评价技术综述 [J].非常规油气,2006,3(2):93-98.
[3] 陈木银,何西攀,金小慧.水平井声波时差测井响应特征研究 [J].国外测井技术,2013(4):38-41.
[4] 孙焕泉.水平井开发技术 [M].北京:石油工业出版社,2012:21-28.
[5] 李晓平,刘启国,赵必荣.水平气井产能影响因素分析 [J].天然气工业,1998,18(2):53-56.
[6] 张学文,方宏长,裘怿楠,等.低渗透率油藏压裂水平井产能影响因素 [J].石油学报,1998,20(4):51-55.
[7] 水平井油藏工程设计编委会.水平井油藏工程设计 [M].北京:石油工业出版社,2011:113-166.
[8] 陈志海,马新仿,郎兆新.气藏水平井产能预测方法 [J].天然气工业,2006,26(2):98-99.
[9] 阵元千.水平井产量公式的推导与对比 [J].新疆石油地质,2008,29(1):68-71.
[10] JOSHI S D,et al.Production forecasting methods for horizontal wells [R].SPE 17580,1988.
[11] 单娜,黄涛.水平井产能预测方法与校正探讨 [J].内蒙古石油化工,2011(11):34-36.
(1)非法定计量单位,1 mD=9.87×10-4 μm2,下同
[2] 程庆昭,魏修平,宿伟.水平井测井解释评价技术综述 [J].非常规油气,2006,3(2):93-98.
[3] 陈木银,何西攀,金小慧.水平井声波时差测井响应特征研究 [J].国外测井技术,2013(4):38-41.
[4] 孙焕泉.水平井开发技术 [M].北京:石油工业出版社,2012:21-28.
[5] 李晓平,刘启国,赵必荣.水平气井产能影响因素分析 [J].天然气工业,1998,18(2):53-56.
[6] 张学文,方宏长,裘怿楠,等.低渗透率油藏压裂水平井产能影响因素 [J].石油学报,1998,20(4):51-55.
[7] 水平井油藏工程设计编委会.水平井油藏工程设计 [M].北京:石油工业出版社,2011:113-166.
[8] 陈志海,马新仿,郎兆新.气藏水平井产能预测方法 [J].天然气工业,2006,26(2):98-99.
[9] 阵元千.水平井产量公式的推导与对比 [J].新疆石油地质,2008,29(1):68-71.
[10] JOSHI S D,et al.Production forecasting methods for horizontal wells [R].SPE 17580,1988.
[11] 单娜,黄涛.水平井产能预测方法与校正探讨 [J].内蒙古石油化工,2011(11):34-36.
(1)非法定计量单位,1 mD=9.87×10-4 μm2,下同