摘要
随着油气勘探向深层-超深层推进,深层-超深层碎屑岩面临复杂井筒、复杂泥浆体系下测井资料信噪比低等挑战,对测井评价技术提出了更高要求。为此,广泛调研文献,系统总结了深层-超深层碎屑岩的概念、划分标准、地质特征,梳理了近年来深层-超深层碎屑岩测井评价技术,明确岩石物理特性研究、测井资料高精度处理及储层有效性评价为其3大核心环节,结合中国深层-超深层碎屑岩测井技术现状与油田生产需求,对其发展方向及对策进行了前瞻性展望:①深化岩石物理实验研究,聚焦不同流体在声-电-核测井中的响应机理以及井场高保真快测实验技术,拓展实验范围,优化测量精度和速度;②强化测井新技术精细处理,攻克核磁共振和声电成像测井的敏感信息补偿校正技术,开发先进信号处理算法,结合岩石物理实验结果建立误差补偿模型;③发展适用于深层高温高压环境的解释评价方法与技术,攻克低信噪比条件下流体识别和储层有效性测井评价的关键技术问题,开发新方法提升储层有效性评价精度。
As oil and gas exploration advances to deep and ultra-deep layers,deep and ultra-deep clastic rocks face challenges such as complex wellbores and low signal-to-noise ratio of logging data under complex mud systems,which puts forward higher requirements for logging evaluation technology.To this end,we have extensively investigated the literature,systematically summarized the concept,classification standard,and geological characteristics of deep and ultra-deep clastic rocks,and sorted out the logging evaluation technologies of deep and ultra-deep clastic rocks in recent years.We have clarified that the research on rock physical properties,high-precision processing of logging data,and reservoir effectiveness evaluation are three core links.Combined with the current status of China’s deep and ultra-deep clastic rock logging technology and oilfield production needs,a forward-looking outlook on its development direction and countermeasures were made:①Deepening rock physics experimental research,focusing on the response mechanism of different fluids in acoustic-electrical-nuclear logging and high-fidelity fast testing experimental technology at the well site,expanding the experimental scope,and optimizing measurement accuracy and speed.②Strengthening the fine processing of new logging technologies,overcoming the sensitive information compensation and correction technology of nuclear magnetic resonance and acoustic and electrical imaging logging,and developing advanced signal processing algorithms to establish error compensation models in combination with rock physics experimental results.③Developing interpretation and evaluation methods and technologies suitable for deep,high-temperature,and high-pressure environments,overcoming key technical issues in fluid identification and reservoir effectiveness logging evaluation under low signal-to-noise ratio conditions,and developing new methods to improve the accuracy of reservoir effectiveness evaluation.
作者
袁龙
曹志锋
别康
顾明
曹原
陈乃东
吴思仪
薛鸿博
戌乂凡
YUAN Long;CAO Zhifeng;BIE Kang;GU Ming;CAO Yuan;CHEN Naidong;WU Siyi;XUE Hongbo;XU Yifan(Geological Research Institute,China National Logging Corporation,Xi’an City,Shaanxi Province,710077,China;Xinjiang Branch of China National Petroleum Corporation Well Logging Company,Karamay,Xinjiang,834000,China;PetroChina Tarim Oilfield Company,Korla,Xinjiang,841000,China;No.9 Oil Production Plant,PetroChina Changqing Oilfield Company,Yinchuan City,Ningxia Province,750000,China;Changqing Branch of China National Petroleum Corporation Well Logging Company,Xi’an City,Shaanxi Province,710201,China)
出处
《油气地质与采收率》
北大核心
2025年第6期1-14,共14页
Petroleum Geology and Recovery Efficiency
基金
中国石油天然气集团有限公司科技项目“超深层碎屑岩油气分布规律与区带目标优选”(2023ZZ14YJ02)。
关键词
超深层碎屑岩
测井评价
响应机理
岩石物理实验
储层有效性
ultra-deep clastic rock
logging evaluation
response mechanism
rock physics experiment
reservoir effectiveness
