钻探现场矿物自动化分析技术进展及应用前景

Progress and application prospect of on-site automatic mineral analysis technologies

随着"互联网+"优势进入集群化作业的发展,现有的矿物分析技术已不能满足生产现场的需要,采集、解释难以定量化、可视化、共享化、多维化等制约现场地质服务技术发展的瓶颈问题越来越突出。为此,在回顾矿物分析技术发展历程的基础上,通过划分技术发展阶段、分析各阶段主体技术特点,结合各种技术的应用效果,对钻探现场矿物自动化分析技术的进展及应用前景进行了研究。结果表明:(1)矿物分析技术发展可分为人工分析、半自动化分析和自动化分析等3个发展阶段;(2)自动化分析技术在岩石的纳米级图像采集、岩性自动定名描述、储层快速识别与评价、自动化专家解释系统等方面的优势突出,能满足"互联网+"时代矿物分析技术发展的新需求,并拓展出新的服务空间和应用领域;(3)Roq SCAN等新技术具有现场化、快速化、参数多维化、解释一体化、应用多角度化的优势,在随钻精细地质评价、工程优化、压裂优化等方面有着广阔的应用空间。结论认为,矿物自动化分析技术将推进录井等现场地质服务生产组织方式的根本改变和服务领域的拓展,有望在未来远程录井中扮演关键性技术角色。

As the ＂Internet＋＂ moves into the development stage of integration operation, the existing on-site mineral analysis technologies cannot satisfy the development demand, and the bottlenecking problems that restrict the development of on-site geological service technologies are more and more prominent, including those in acquisition, interpretation quantification, visualization, sharing, and multi-dimensional performance. In this paper, the development history of mineral analysis technologies was reviewed. Then, their development stages were classified and the characteristics of main technologies in each stage were analyzed. Finally, the progress and application prospect of on-site automatic mineral analysis technologies were studied based on their application results. And the following research results were obtained. First, the development of mineral analysis technologies is divided into three stages, i.e., artificial analysis, semi automatic analysis and automatic analysis. Second, the automatic analysis technologies are quite advantageous in terms of nano-scale rock image acquisition, automatic lithology denomination and description, fast reservoir identification and evaluation and automatic expert interpretation system, and can meet the new demand of the development of mineral analysis technologies in the period of ＂Internet＋＂ and new service domains and application fields have been developed. Third, new technologies（e.g. RoqSCAN） are advantageous in terms of field use, high speed, multi-dimensional parameter, integrated interpretation and multi-aspect application, and they are widely applied in the fields of fine geological evaluation, engineering optimization and fracturing optimization. These technologies will promote the essential change of production organization mode of on-site geological services（e.g. mud logging） and the expansion of new service domains. And they are expected to play a key technological role in the remote mud logging in the future.