摘要
天然气水合物是一种新型非常规能源。准确评估资源量,有助于制定后续开发利用方式,而选择储层参数与评价方法对于评估资源量具有决定性作用。概述了储层评估的方法,包括地球物理法、地球化学法和勘探取样,并结合各类勘探试采配套装置详细介绍了地震数据、随钻测井法、海洋可控源电磁法、氯离子浓度法、生物地球化学法和保真取心配套分析技术。将天然气水合物的资源量评估方法分成了体积法、面积法和碳平衡法3种,通过对近20年国内外天然气水合物资源量估算结果的比较,剔除偏差较大的估值,得出了目前全球天然气水合物资源量的合理估值,数量级分别为海底陆坡1015 m3、冻土层1013 m3。其中中国天然气水合物资源量的合理估值,数量级分别为:南海为1012~1013 m3,东海冲绳海槽为1012 m3,青藏高原冻土层为1012~1013 m3,漠河为1012~1013 m3。
Natural gas hydrate(NGH)is a new unconventional energy.The accurate evaluation of potential volume of NGH is helpful to create the plans for development and utilization,and the selection of reservoir parameters and evaluation methods plays a vital role in the evaluation.The methods of reservoir evaluation were summarized,including geophysical method,geochemical method and core sampling technology,and some technologies including seismic data,logging while drilling,marine controllable source electromagnetic method,chloride ion concentration method,biogeochemical method and pressure core sampling technology,were introduced combined with their equipment.The evaluation methods of potential volume of natural gas hydrate were divided into three kinds:volume method,area method and carbon cycle method.The research results of natural gas hydrate potential volume in recent 20 years at home and abroad were studied excluding some biased estimated values,then the reasonable of order of magnitude of potential volume of natural gas hydrate in other countries and in China was obtained:the amount of gas hydrates in the submarine slope,in permafrost,in the South China Sea,in the Okinawa Trough of the East China Sea,in the permafrost of Qinghai Tibet Plateau and in Mohe permofrost is 1015 m3,1013 m3,1012~1013 m3,1012 m3,1012~1013 m3,1012~1013 m3,respectively.
作者
马文嘉
Ma Wenjia(School of Mechanical and Automotive Engineering,South China University of Technology,Guangzhou 510640,China)
出处
《机电工程技术》
2022年第2期21-27,共7页
Mechanical & Electrical Engineering Technology
关键词
天然气水合物
储层评估
地球物理
地球化学
勘探试采装置
资源量估算
natural gas hydrate
reservoir evaluation
geophysical
geochemistry
exploration and production test device
resource estimation