川东沙罐坪石炭系气藏测井储层评价
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摘要
石炭系碳酸盐岩气藏是川东地区沙罐坪气田的主力气藏,属于低孔隙度、低渗透率的裂缝～孔隙型气藏。在气藏精细描述研究工作中,由于储层非均质性强,给使用常规方法进行储层评价带来了较大困难。这里使用神经网络建立岩芯刻度的储层物性参数预测模型,预测储层的孔隙度和渗透率参数与岩芯物性分析值基本吻合。根据现场提供的储层分类标准,并结合本地区研究成果,通过建立各类储层电性测井响应交会图版,首次归纳出各类储层的电性响应特征范围,综合运用神经网络参数解释模型、交会图版和电性响应特征标准表,对工区内各井进行处理识别,评价识别结果与产能测试结果有较好的吻合性,为进一步的产能评价、气藏开发方案调整,提供了重要参考。
The Huanglong formation of carboniferous is main gas reservior of the Shaguanping gas field in eastern Sichuan which belongs to low porosity and low permeability crack-hole gas pool.Because of the anisotropy of the reservoir,it takes more difficult to the reservoir evaluation by use of traditional method in gas pool description.In this paper,a forecasting model of reservoir property parameter which is calibrated by property values of core is established by using the neural network.And the forecasting result perfectly matches core analysis values.According to the standard of discrimination of reservoir types formulated by gas field and the results of our study in this area,some cross plots of responding characters of electrical log in this reservoir are established and range of responding characters of electrical log in this reservoir is generalized.It is summarized in the first time that the range of responding characters of electrical log for various reservoirs.The neural network model,cross plots templates and the standard of range of responding characters of electric log in this reservoir are applied in the well log data analysis in this area,and the results are good comparing with productivity test records which provide an important reference for the deliverability evaluation and the adjustment of gas reservoir development plan.
The Huanglong formation of carboniferous is main gas reservior of the Shaguanping gas field in eastern Sichuan which belongs to low porosity and low permeability crack-hole gas pool.Because of the anisotropy of the reservoir,it takes more difficult to the reservoir evaluation by use of traditional method in gas pool description.In this paper,a forecasting model of reservoir property parameter which is calibrated by property values of core is established by using the neural network.And the forecasting result perfectly matches core analysis values.According to the standard of discrimination of reservoir types formulated by gas field and the results of our study in this area,some cross plots of responding characters of electrical log in this reservoir are established and range of responding characters of electrical log in this reservoir is generalized.It is summarized in the first time that the range of responding characters of electrical log for various reservoirs.The neural network model,cross plots templates and the standard of range of responding characters of electric log in this reservoir are applied in the well log data analysis in this area,and the results are good comparing with productivity test records which provide an important reference for the deliverability evaluation and the adjustment of gas reservoir development plan.
引文
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[2]陈宗清.川东石炭系地层-构造复合圈闭气藏的预测、分类和评价[J].石油学报,2000,5(21):25.
[3]钱峥,川东石炭系碳酸盐沉积环境探讨[J].天然气工业,1999,19(4):19.
[4]杨斌,匡立春,孙中春,等.神经网络在石油测井中的应用[M].北京:石油工业出版社,2005.
[5]邱立伟,康志江.人工神经网络技术在储层描述中的应用[J].石油实验地质,1999,21(2):166.
[6]司马立强,郑淑芬,罗宁.川东地区石炭系储层流体性质测井判别方法适应性分析[J].天然气工业,2002,22(6):45.
[7]雷雪,李忠,巫芙蓉.正、反演结合对川东石炭系储层地震响应特征的分析[J].物探化探计算技术,2003,25(3):207.
[8]杨邦伟,谭茂金,陈莹.用成像测井资料描述碳酸盐岩储集层--以车古20潜山为例[J].物探化探计算技术,2007,29(3):234.
[9]涂涛.川东石炭系测井地质[J],天然气工业,1998,18(2):24.
[10]肖松,夏敏全,王大勋.川东邻北构造石炭系储层储集特征评价研究[J].大庆石油地质和开发,2005,24(4):28.
[11]李建林,徐国盛,严维理,等.川东沙罐坪气田石炭系储层裂缝识别与预测[J].天然气工业,2008,28(11):49.
[12]卢颖忠,黄智辉,管志宁,等.储层裂缝特征测井解释方法综述[J].地质科技情报,1998,17(1):85.
[13]徐国盛,刘树根.四川盆地天然气成藏动力学[M].北京:地质出版社,2005.
[14]魏钦廉,赵平海,付顺.川东五百梯地区石炭系储集层裂缝分布规律[J].新疆石油地质,2007,28(2):150.
[15]胡光灿,谢姚祥.中国四川东部高陡构造石炭系气田[M].北京:石油工业出版社,1997.
[16]高成军,陈科贵,卫扬安.碳酸盐岩储层测井与录井评价技术[M].北京:石油工业出版社,2007.
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