页岩气资源评价方法研究进展与发展方向

基于资评方法的原理和评价思路，目前页岩气资评方法可划分为静态法、动态法和综合法三大类。静态法包括成因法、统计法和类比法3类，每类方法下又包括若干种具体评价方法。国外常用统计法和动态法开展页岩气可采资源量的计算，而国内主要采用统计法中的体积法和类比法开展页岩气地质资源量评估。文章系统阐述了各资评方法的适用性、优缺点和取得的主要进展。随着我国页岩气勘探开发进程的深入，静态法和动态法页岩气资源评价均取得了较大进展；综合法进展相对缓慢。文中指出，页岩气资源分级评价和空间分布预测、页岩气资评刻度区建设和大数据应用技术以及多方法综合应用的资评方法体系是未来页岩气资源评价发展的主要方向，下一步要尽快完善适合中国页岩气勘探现状的页岩气经济评价和生态环境评价方法体系。

Advances in shale gas resource assessment methods and their future evolvement

Shale gas resource assessment has been carried out mostly with the static, dynamic and comprehensive approaches based on the principles it employs and the paths it explores.Of which, the static approach is composed of the genesis, statistics and analogy methods, with each being further divided into different and specific assessment procedures.The bulk procedure under the statistics method and the analogy method are adopted more often by the Chinese assessment teams during their estimation of shale gas resources in place in the country, while the statistics method and the dynamic approach are more frequently used by assessors in other countries during their calculation of recoverable shale gas resources.This paper provides a thorough review of the applicability and the advantages and disadvantages of as well as advances in all these assessment methods.It concludes that with the development of shale gas exploration and development in China, the static and dynamic approaches have been widely used and greatly improved but the comprehensive approach has been relatively overlooked.It also suggests that the grading and spatial distribution prediction of shale gas, establishment of calibration units, utilization of big data as well as set-up of a comprehensive assessment system based on all these methods are the main development directions for shale gas resource assessment, and that the next step for those doing the shale gas assessment work in China is to facilitate the bringing in of a more applicable and completed system for economic and ecological evaluations of shale gas exploration and development.