平顶山地下盐穴储气库建库盐层分布预测

Prediction of Salt Horizon Distribution for PingdingshanSalt Cavern Underground Gas Storage

盐穴型地下储气库采用溶盐采矿的方式在地下盐层中建造腔体储存天然气,具有工作气比例高、日注采气量大以及回收全部垫底气的特点,目前已成为世界范围内储气库发展新趋势。针对我国东部地区盐层与其他地层频繁互层的特点,结合地震、测井、钻井等资料,利用BP神经网络反演进行平顶山盐矿核一段盐层的预测,结合盐类矿物测井响应特征进行盐岩品味研究,形成了“重构曲线定量、神经反演选优”的技术路线,为我国东部平顶山盐矿建设地下储气库提供基础。

A cavity is built to storage the natural gas in the underground salt layer by a soluble salt mining way in the salt cavern underground natural gas storage,which has the characteristics of the high proportion of working gas,large amount of daily injection and production gas volume,and recovery of all bottom gas.At present,it has become a new development trend of gas storage all over the world.For the characteristics of frequent interbedding between the salt layer and other strata in the eastern region of China,the BP neural network inversion is used to predict the salt layer of core section 1,Pingdingshan salt mine by combined with the seismic,logging,drilling and other data,the study of salt rock taste is carried out by combined with the well logging response characteristics of salt minerals,the technical route of"Quantification by the reconstructed curve,optimal selection by the neural inversion"has been formed,so that the foundation is provided for the construction of underground gas storage in the Pingdingshan salt mine in the eastern region of China.