致密砂岩气层压裂后产能测井定量预测
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摘要
针对鄂尔多斯盆地X地区石盒子组致密砂岩气层压裂后产能测井预测问题,首先研究储层品质对压裂后产能的影响,在渗流力学理论与毛管理论的基础上,可以确定储层压裂后每米产气量与有效流动孔隙度存在指数关系,并且确定计算有效流动孔隙度的T_2截止值为33 ms;然后依据阵列声波测井资料求得储层测井脆性指数(动态脆性指数),结合测试资料确定了岩石可压裂性的测井脆性指数下限为55%;最后,建立储层压裂后每米产气量测井定量预测模型。将压裂后产能测井定量预测模型应用于鄂尔多斯盆地X地区石盒子组致密砂岩气层的产能预测,预测结果与测试结果符合很好,相对误差均在10%以内,为相同地质区块的致密气藏压裂后产能测井定量预测提供一种思路。
Aiming at the prediction of the post-frac productivity logging of tight sandstone gas reservoirs in Shixianzi Formation in X area of Ordos Basin, the paper has made a study of the effect of reservoir quality on the post-frac productivity. Based on seepage mechanics theory and capillary theory, we can find that there is an exponential relationship between fractured meters of gas production and effective flow porosity. The cut-off value of T2 for the calculation of effective flow porosity is determined to be 33 ms. According to the array acoustic logging data, the reservoir logging brittleness index(dynamic brittleness index) is obtained. Also, the lower limit of the logging brittleness index of the rock fracturing is determined to be 55%. Finally, the logging quantitative prediction model of fractured gas production per meter is established. The model is applied to forecasting the post-frac productivity in Shihezi formation in X area of Ordos basin, including the forecast result. The relative error is less than 10%, as provides an idea for the quantitative prediction of productivity logging after fracturing of tight gas reservoirs in the same geological block.
Aiming at the prediction of the post-frac productivity logging of tight sandstone gas reservoirs in Shixianzi Formation in X area of Ordos Basin, the paper has made a study of the effect of reservoir quality on the post-frac productivity. Based on seepage mechanics theory and capillary theory, we can find that there is an exponential relationship between fractured meters of gas production and effective flow porosity. The cut-off value of T2 for the calculation of effective flow porosity is determined to be 33 ms. According to the array acoustic logging data, the reservoir logging brittleness index(dynamic brittleness index) is obtained. Also, the lower limit of the logging brittleness index of the rock fracturing is determined to be 55%. Finally, the logging quantitative prediction model of fractured gas production per meter is established. The model is applied to forecasting the post-frac productivity in Shihezi formation in X area of Ordos basin, including the forecast result. The relative error is less than 10%, as provides an idea for the quantitative prediction of productivity logging after fracturing of tight gas reservoirs in the same geological block.
引文
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[23] 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.
[24] 李进步,白建文,朱李安,等.苏里格气田致密砂岩气藏体积压裂技术与实践[J].天然气工业,2013,33(9):65-69.
[25] 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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[27] 李华阳,周灿灿,李长喜,等.致密砂岩脆性指数测井评价方法——以鄂尔多斯盆地陇东地区长7段致密砂岩储集层为例[J].新疆石油地质,2014,35(5):593-597.
[2] 邹才能,杨智,朱如凯,等.中国非常规油气勘探开发与理论技术进展[J].地质学报,2015,89(6):979-1007.
[3] 邹才能,朱如凯,吴松涛,等.常规与非常规油气聚集类型、特征、机理及展望——以中国致密油和致密气为例[J].石油学报,2012,33(2):173-187.
[4] 潘保芝,石玉江,蒋必辞,等.致密砂岩气层压裂产能及等级预测方法[J].吉林大学学报:地球科学版,2015,45(2):649-654.
[5] 鞠江慧,王建功,高瑞琴,等.二连油田低孔隙度低渗透率储层压裂后产能预测[J].测井技术,2005,29(4):379-381.
[6] 袁淋,王朝明,李晓平,等.致密砂岩气藏气水同产水平井产能公式推导及应用[J].岩性油气藏,2016,28(3):121-126.
[7] 钟家峻,唐海,吕栋梁,等.苏里格气田水平井一点法产能公式研究[J].岩性油气藏,2013,25(2):107-111.
[8] 孙恩慧,李晓平,赵必荣.气水两相流井产能分析方法研究[J].岩性油气藏,2012,10(6):8-10.
[9] 吕栋梁,唐海,吕渐江,等.气井产水时产能方程的确定[J].岩性油气藏,2010,22(4):112-115.
[10] 庄华.苏里格致密砂岩气层压裂产能测井预测方法研究[D].长春:吉林大学,2013.
[11] 张冲,毛志强,李光军,等.安棚深层系低渗透储层产能预测方法及应用[J].测井技术,2008,32(6):562-565.
[12] 谢英刚,秦勇,叶建平,等.临兴地区上古生界煤系致密砂岩气成藏条件分析[J].煤炭学报,2016,41(1):181-191.
[13] 谢英刚,孟尚志,万欢,等.临兴地区煤系地层多类型天然气储层地质条件分析[J].煤炭科学技术,2015,43(9):71-75.
[14] 汪永利,蒋廷学,曾斌.气井压裂后稳态产能的计算[J].石油学报,2003,24(4):65-68.
[15] 张冲,张占松,张超谟.基于等效岩石组分理论的渗透率解释模型[J].测井技术,2014,38(6):690-694.
[16] 宋延杰,周玉婷,唐晓敏,等.基于有效流动孔隙的低孔渗泥质砂岩储层渗透率确定方法[J].地球物理学进展,2016,31(1):327-333.
[17] 王瑞飞,陈明强.特低渗透砂岩储层可动流体赋存特征及影响因素[J].石油学报,2008,29(4):558-561.
[18] 李太伟,郭和坤,李海波,等.应用核磁共振技术研究页岩气储层可动流体[J].特种油气藏,2012,19(1):107-109.
[19] 高辉,孙卫.特低渗透砂岩储层可动流体变化特征与差异性成因——以鄂尔多斯盆地延长组为例[J].地质学报,2010,84(8):1223-1230.
[20] 肖亮,肖忠祥.核磁共振测井T2cutoff确定方法及适用性分析[J].地球物理学进展,2008,23(1):167-172.
[21] Freedman R,Heaton N.Fluid Characterization using Nuclear Magnetic Resonance Logging[J].Petrophysics,2004,45(3):241-250.
[22] 张冲,张超谟,张占松,等.致密气储层岩心束缚水饱和度实验对比[J].天然气地球科学,2016,27(2):352-358.
[23] 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.
[24] 李进步,白建文,朱李安,等.苏里格气田致密砂岩气藏体积压裂技术与实践[J].天然气工业,2013,33(9):65-69.
[25] 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.
[26] Rick Rickman,Mike Mullen,Erik Petre,et al.A practical use of shale petrophysics for stimulation design optimization all shale plays are not clones of the Barnett shale[C].Denver,Colorado,U.S.A.,Society of Petroleum Engineers,2008.
[27] 李华阳,周灿灿,李长喜,等.致密砂岩脆性指数测井评价方法——以鄂尔多斯盆地陇东地区长7段致密砂岩储集层为例[J].新疆石油地质,2014,35(5):593-597.