多种矿物解释模型在焦石坝地区的优选及应用
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摘要
页岩的脆性特性对储层压裂改造至关重要,而精确求取矿物组分含量是脆性评价的关键。在重庆涪陵焦石坝地区,基于常规测井曲线、岩心分析化验资料以及斯伦贝谢元素测井资料,运用ECS(地球化学元素)测井法、中子-密度二元交会法、三元回归法、五元回归法共4种方法建立矿物解释模型,并分区运行优选应用和定量评价。综合分析可知,ECS测井法解释精度高,但应用受限;三元回归法、五元回归法解释精度高于中子-密度二元交会法,平均相对误差低于行业标准;且三元回归法在导眼井、水平井中均适用,受地层、环境、仪器等影响小,该方法可在大焦石坝地区推广使用,但需要根据区块实际资料建立或完善模型。
The brittleness characteristics of shale is essential for reservoir fracturing reconstruction,while precise calculation of mineral composition is the key for brittleness evaluation.In Fuling Jiaoshiba Area of Chongqing,based on conventional logging data,core analysis data and element logging data from Schlumberger Co.,four methods such as element capture spectroscopy(ECS),CNL-DEN intersection method,three-element regression method and five-element regression methods are studied for calculating mineral composition content.It is known by integral analysis that ECS method is of high interpretation precision,while its application is limited.While the three-element regression method and five-element regression methods are higher interpretation precision than CNL-DEN intersection method,the average relative error is lower than industry standard.But three-element regression method is applicable in both pilot-hole wells and horizontal wells.It is less affected by formation,environment and logging instrument.This method can be widely used in the whole Jiaoshiba Area,but the model should be established or perfected based on the actual data of each block.
The brittleness characteristics of shale is essential for reservoir fracturing reconstruction,while precise calculation of mineral composition is the key for brittleness evaluation.In Fuling Jiaoshiba Area of Chongqing,based on conventional logging data,core analysis data and element logging data from Schlumberger Co.,four methods such as element capture spectroscopy(ECS),CNL-DEN intersection method,three-element regression method and five-element regression methods are studied for calculating mineral composition content.It is known by integral analysis that ECS method is of high interpretation precision,while its application is limited.While the three-element regression method and five-element regression methods are higher interpretation precision than CNL-DEN intersection method,the average relative error is lower than industry standard.But three-element regression method is applicable in both pilot-hole wells and horizontal wells.It is less affected by formation,environment and logging instrument.This method can be widely used in the whole Jiaoshiba Area,but the model should be established or perfected based on the actual data of each block.
引文
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[2]王芙蓉,何生,郑有恒,等.江汉盆地潜江凹陷潜江组盐间页岩油储层矿物组成与脆性特征研究[J].石油实验地质,2016,38(2):211～218.
[3]孙建孟,韩志磊,秦瑞宝,等.致密气储层可压裂性测井评价方法[J].石油学报,2015,36(1):74～80.
[4]刁海燕.泥页岩储层岩石力学特性及脆性评价[J].岩石学报,2013,9(9):3300～3306.
[5]聂海宽,张金川.页岩气储层类型和特征研究——以四川盆地及其周缘下古生界为例[J].石油实验地质,2011,33(3):219～225.
[6]Martin J.A geomechanical approach to evaluate brittleness using well logs:Mississippian limestone,Northern Oklahoma[D].Texas:The University of Texas at Arlington,2015.
[7]Holt R M,Fj?r E,Stenebr?ten J F,et al.Brittleness of shales:Relevance to borehole collapse and hydraulic fracturing[J].Journal of Petroleum Science and Engineering,2015,23(1):200～209.
[8]罗宁,唐雪萍,刘恒,等.元素俘获谱测井在储层评价中的应用[J].天然气工业,2009,29(6):43～48.
[9]杨建,付永强,陈鸿飞,等.页岩储层的岩石力学特性[J].天然气工业,2012,32(7):12～15.
[10]黄锐,张新华,秦黎明.基于元素含量的页岩矿物成分及脆性评价方法[J].中国石油勘探,2014,19(2):85～90.
[11]郝建飞,周灿灿,李霞,等.页岩气地球物理测井评价综述[J].地球物理学进展,2012,27(4):1624～1632.
[12]徐赣川,钟光海,谢冰,等.基于岩石物理实验的页岩脆性测井评价方法[J].天然气工业,2014,34(12):38～45.
[13]董宁,许杰,孙赞东,等.泥页岩脆性地球物理预测技术[J].石油地球物理勘探,2013,48(增刊1):69～74.
[14]王玉满,董大忠,李建忠,等.川南下志留统龙马溪组页岩气储层特征[J].石油学报,2012,33(4):551～561.
[15]范卓颖,林承焰,王天祥,等.致密地层岩石脆性指数的测井优化建模[J].石油学报,2015,36(11):1411～1420.
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