太阳浅层页岩气田有机碳含量预测及其影响因素分析  

Prediction of organic carbon content and analysis of influencing factors in Taiyang shallow shale gas field

作　　者：石阳志 季永承 何叶 周芸 陈美军 江铭 Shi Yangzhi;Ji Yongcheng;He Ye;Zhou Yun;Chen Meijun;Jiang Ming(Petrochina Zhejiang Oilfield Branch,Hangzhou 310023,China;Geological Research Institute,China Petroleum Logging Co.,Ltd.,Xi′an 710077,China)

机构地区：[1]中国石油浙江油田分公司,浙江杭州310023 [2]中国石油集团测井有限公司地质研究院,陕西西安710077

出　　处：《能源与环保》2024年第1期183-192,共10页CHINA ENERGY AND ENVIRONMENTAL PROTECTION

基　　金：中国石油天然气集团有限公司“十四五”前瞻性基础性科技项目(2021DJ1903)。

摘　　要：在自生自储的非常规页岩气藏中,储层差异性在宏观层面上变化不明显,甜点识别困难。为解决开发时期水平井钻井过程优质储层识别及评价难度大的问题,基于有机质作为页岩气的物质基础,富有机质层的识别是优质储层识别与评价的关键前提,通过分析页岩有机碳含量(TOC)的测井响应特征,发现自然伽马能谱铀曲线、体积密度曲线与TOC具有较好的正相关关系,二者多元拟合可准确定量连续表征TOC。利用钍铀比反映古沉积水深、生物成因硅含量反映古生产力,TOC分布特征明显受控于二者。借助地层元素在测井、录井上的共通性,进而利用随钻录井资料识别富有机质层,发现XRF元素录井中m(Si)/m(Si+Al+Fe)、m(Ni)/m(Al)、m(Mo)/m(Al)等也可较好地反映单井内部生物成因硅含量、古氧化还原环境的相对变化,与TOC变化趋势一致,该特征对水平井钻探目标导向优化具有较好应用效果,可用于指导同类型页岩气藏开发实施。In the self-generated and self-stored unconventional shale gas reservoirs,the variation of reservoir difference is not obvious at the macro level,and it is difficult to identify sweet spots.In order to solve the difficulty in identifying and evaluating high-quality reservoir in the process of horizontal well drilling during the development period,the identification of organic-rich layer is the key prerequisite for identifying and evaluating high-quality reservoir based on organic matter as the material basis of shale gas.By analyzing the logging response characteristics of organic carbon content(TOC)of shale,it was found that the uranium curve and volume density curve of natural gamma spectrum had a good positive correlation with TOC,and their multivariate fitting can accurately characterize TOC quantitatively and continuously.The distribution characteristics of TOC were clearly controlled by the use of thorium-uranium ratio to reflect the depth of ancient sedimentary water and biogenic silicon content to reflect ancient productivity.Based on the commonality of formation elements in logging and logging,organic-rich layers can be identified by using logging while drilling data,it was found that m(Si)/m(Si+Al+Fe),m(Ni)/m(Al),m(Mo)/m(Al),and other elements in XRF logging can also reflect the relative changes in biogenic silicon content and ancient redox environment within a single well,consistent with the trend of TOC changes.This feature has a good application effect on target oriented optimization of horizontal well drilling and can be used to guide the development and implementation of similar shale gas reservoirs.

关 键 词：浅层页岩气 龙马溪组 有机碳含量 太阳气田 生物成因硅 

分 类 号：TE132.2[石油与天然气工程—油气勘探]