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基于随钻录井资料确定页岩气储层参数
引用本文:戴长林,石文睿,程俊,石元会,黄强,赵红燕.基于随钻录井资料确定页岩气储层参数[J].天然气工业,2012,32(12):17-21.
作者姓名:戴长林  石文睿  程俊  石元会  黄强  赵红燕
作者单位:1.中国石化集团江汉石油管理局测录井工程公司;2.长江大学工程技术学院
基金项目:中国石油化工集团公司工程先导项目(编号:SG0986)
摘    要:为了达到随钻快速识别与评价页岩气的录井显示目的,基于页岩气储层同时具有致密砂岩、致密碳酸盐岩油气层的特征,运用岩屑伽马录井、地层元素录井及钻时资料识别页岩气储层岩性的方法与标准,提出了运用气测及综合录井资料确定地层孔隙度与渗透率、地层压力与地层破裂压力、地层含气饱和度与地层含气量、气层产能预测的方法,丰富了录井页岩气解释评价方法与手段。对中国石油化工股份有限公司首口页岩气勘探试验井--J111井录井资料进行了分析和探讨。结果表明:上述方法为低孔隙度低渗透率复杂孔隙结构的页岩气层的精细解释提供了参考,有较强的实用性,满足了页岩气录井现场快速解释评价的需要。

关 键 词:页岩气  录井  资料  储集层  参数  解释  评价  应用

Shale gas reservoir parameter calculation based on logging-while-drilling(LWD) data
Dai Changlin,Shi Wenrui,Cheng Jun,Shi Yuanhui,Huang Qiang,Zhao Hongyan.Shale gas reservoir parameter calculation based on logging-while-drilling(LWD) data[J].Natural Gas Industry,2012,32(12):17-21.
Authors:Dai Changlin  Shi Wenrui  Cheng Jun  Shi Yuanhui  Huang Qiang  Zhao Hongyan
Affiliation:1.Logging Engineering Company of Sinopec Jianghan Branch, Qianjiang, Hubei 433123, China; 2.School of Engineering Technology, Yangtze University, Jingzhou, Hubei 434023, China
Abstract:It is desirable for us to quickly identify and evaluate shale gas shows from logging while drilling data. As shale gas reservoirs show mixed characteristics of tight sandstone and tight carbonate reservoirs, we presented methodologies and standards for the identification of shale gas reservoirs with cutting GR logs, elemental logs and drilling time logs, and provided methods to calculate porosity and permeability, formation pressure and fracture pressure, gas saturation and gas content and to predict productivity by using mud logs and compound logs. In this way, more alternative ways are provided for logging interpretation and evaluation methods of shale gas reservoirs. Furthermore, analysis and discussion are made in a case study of J111 well, the first exploratory experimental shale gas well operated by Sinopec. In conclusion, this study provides reference for fine interpretation of gas shale beds with low porosity, low permeability and complex pore structure. Application results prove that the above practical methodologies can meet the requirement of quick on site logging interpretation and evaluation of shale gas reservoirs.
Keywords:
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