页岩含气量测井评价方法研究
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摘要
针对现有页岩含气量计算模型关键参数计算困难、误差较大,部分参数需要通过大量的实验来获取,成本较高等问题,以长宁地区下志留系龙马溪组为例,以兰格缪尔等温吸附为理论依据,利用等温吸附实验数据和大量测井数据,通过优选拟合回归的方法计算页岩含气量关键参数,由此建立了基于常规测井资料的页岩含气量计算新模型。结果表明:兰格缪尔等温吸附方程关键参数VP、VL可利用TOC进行计算; SGR、DEN测井曲线计算的TOC比传统△logR法计算结果相对误差降低14. 00%;阿尔齐法和西门度法受异常电阻率低值影响,计算的含气饱和度偏低,SGR-DEN法计算的含气饱和度更加准确。新模型只需通过常规测井曲线即可计算页岩含气量,为页岩气水平井地质导向钻井和储层评价提供了可靠依据。
The present shale gas content determination models are partly limited by key parameter calculation,relative large error,the determination of some parameters need a large number of laboratory experiment data,high cost,etc. Based on the Langmuir isothermal adsorption,the isothermal adsorption test and logging data were used to study the Longmaxi Formation of the Lower Silurian in Changning. The fitting regression was optimized to gain the key parameters to calculate shale gas content. A new model for shale gas content calculation was established on the basis of conventional logging data. Research indicates that The VPand VLof the Langmuir isotherm equation can be calculated by TOC. Comparing with the TOC calculation with conventional △logR method,the relative error can be reduced by 14% for the TOC calculation with SGR and DEN logging data. The Alzheimer and Simon methods are influenced by the low value of the anomalous resistivity,which will underestimate the gas saturation. SGR-DEN method could supply a reasonable gas saturation calculation. The new model can calculate the shale gas content with conventional logging curve,which could provide certain reliable basis for the horizontal well drilling with geo-steering and reservoir evaluation.
The present shale gas content determination models are partly limited by key parameter calculation,relative large error,the determination of some parameters need a large number of laboratory experiment data,high cost,etc. Based on the Langmuir isothermal adsorption,the isothermal adsorption test and logging data were used to study the Longmaxi Formation of the Lower Silurian in Changning. The fitting regression was optimized to gain the key parameters to calculate shale gas content. A new model for shale gas content calculation was established on the basis of conventional logging data. Research indicates that The VPand VLof the Langmuir isotherm equation can be calculated by TOC. Comparing with the TOC calculation with conventional △logR method,the relative error can be reduced by 14% for the TOC calculation with SGR and DEN logging data. The Alzheimer and Simon methods are influenced by the low value of the anomalous resistivity,which will underestimate the gas saturation. SGR-DEN method could supply a reasonable gas saturation calculation. The new model can calculate the shale gas content with conventional logging curve,which could provide certain reliable basis for the horizontal well drilling with geo-steering and reservoir evaluation.
引文
[1]涂乙,邹海燕,孟海平,等.页岩气评价标准与储层分类[J].石油与天然气地质,2014,35(1):153-158.
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[11]王瀚玮,夏宏泉,陈宇,等.页岩气水平井LWD曲线的环境因素影响及校正方法[J].石油钻探技术,2017,45(6):116-122.
[12]LOUCK R G,REED R M,RUPPEL S C,et al.Morphology,genesis,and distribution of nanometerscale pores insiliceous mudstones of the mississippian barnett shale[J].Journal of Sedimentary Research,2009,79(12):848-861.
[13]CURTIS M E,SONDERELD C H,AMBROSE R J,et al.Microstructural investigation of gas shales in two and three dimensions using nanometer-scale resolution imaging[J].AAPG Bulletin,2012,96(4):665-677.
[14]张晋言,李淑荣,王利滨,等.低阻页岩气层含气饱和度计算新方法[J].天然气工业,2017,37(4):34-41.
[15]任元,杨金良,毛琳,等.基于TOC的页岩储层含气饱和度确定方法及应用[J].江汉石油职工大学学报,2015,28(1):17-19.
[16]郭为,熊伟,高树生,等.温度对页岩等温吸附/解吸特征影响[J].石油勘探与开发,2013,40(4):481-485.
[17]于荣泽,张晓伟,卞亚南,等.页岩气藏流动机理与产能影响因素分析[J].天然气工业,2012,32(9):10-15.
[18]熊伟,郭为,刘洪林,等.页岩的储层特征以及等温吸附特征[J].天然气工业,2012,32(1):113-116.
[19]赵良孝,张树东,胡玲.复杂碳酸盐岩储层含油气饱和度计算方法探索[J].天然气工业,2005,25(9):42-44.
[20]SLATT R M,ABOUSLEIMAN Y.Merging sequence stratigraphy and geomechanics for unconventional gas shales[J].The Leading Edge,2011,30(3):274-282.
[2]张金川,姜生玲,唐玄,等.我国页岩气富集类型及资源特点[J].天然气工业,2009,29(12):109-114.
[3]CURTIS J B.Fractured shale-gas systems[J].AAPGBulletin,2002,86(11):1921-1938.
[4]陈勉,葛洪魁,赵金洲,等.页岩油气高效开发的关键基础理论与挑战[J].石油钻探技术,2015,43(5):7-14.
[5]夏宏泉,王瀚玮,赵昊.测井多参数两向量法识别页岩气地质“甜点”[J].天然气工业,2017,37(11):36-42.
[6]DECKER A D,HILL D G,WICKS D E.Log-based gas content and resource estimates for the Antrim Shale Michi-gan Basin[C].SPE18627,1993:659-670.
[7]赵金洲,沈骋,任岚,等.页岩储层不同赋存状态气体含气量定量预测---以四川盆地焦石坝页岩气田为例[J].天然气工业,2017,37(4):27-33.
[8]钟光海,谢冰,周肖,等.四川盆地页岩气储层含气量的测井评价方法[J].天然气工业,2016,36(8):43-51.
[9]赖富强,罗涵,覃栋优,等.基于层次分析法的页岩气储层可压裂性评价研究[J].特种油气藏,2018,25(3):154-159.
[10]张晓明,石万忠,舒志国,等.涪陵地区页岩含气量计算模型及应用[J].地球科学,2017,42(7):1157-1168.
[11]王瀚玮,夏宏泉,陈宇,等.页岩气水平井LWD曲线的环境因素影响及校正方法[J].石油钻探技术,2017,45(6):116-122.
[12]LOUCK R G,REED R M,RUPPEL S C,et al.Morphology,genesis,and distribution of nanometerscale pores insiliceous mudstones of the mississippian barnett shale[J].Journal of Sedimentary Research,2009,79(12):848-861.
[13]CURTIS M E,SONDERELD C H,AMBROSE R J,et al.Microstructural investigation of gas shales in two and three dimensions using nanometer-scale resolution imaging[J].AAPG Bulletin,2012,96(4):665-677.
[14]张晋言,李淑荣,王利滨,等.低阻页岩气层含气饱和度计算新方法[J].天然气工业,2017,37(4):34-41.
[15]任元,杨金良,毛琳,等.基于TOC的页岩储层含气饱和度确定方法及应用[J].江汉石油职工大学学报,2015,28(1):17-19.
[16]郭为,熊伟,高树生,等.温度对页岩等温吸附/解吸特征影响[J].石油勘探与开发,2013,40(4):481-485.
[17]于荣泽,张晓伟,卞亚南,等.页岩气藏流动机理与产能影响因素分析[J].天然气工业,2012,32(9):10-15.
[18]熊伟,郭为,刘洪林,等.页岩的储层特征以及等温吸附特征[J].天然气工业,2012,32(1):113-116.
[19]赵良孝,张树东,胡玲.复杂碳酸盐岩储层含油气饱和度计算方法探索[J].天然气工业,2005,25(9):42-44.
[20]SLATT R M,ABOUSLEIMAN Y.Merging sequence stratigraphy and geomechanics for unconventional gas shales[J].The Leading Edge,2011,30(3):274-282.