The Application of CBM Case Library Based on Data Mining

Maoxin Qiu, Huazhen Zhang, Huanzhi Zhang, Jia Liu, Yan-kang He, Lu Wang, Jiaming Zhang
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Abstract

The development of China's coalbed methane (CBM) industry is restricted by the complex geological conditions, unmatched technology and lack of development experience. To solve this problem, a case library covering typical CBM fields at home and abroad is established. Through data analysis and mining, the differences between domestic and foreign CBM fields are compared and the influence factors of CBM single well production were analyzed. This study includes the data preparation of CBM fields, the establishment of the case library system, the establishment of data analysis model and the result analysis. The data of case library covers the geological conditions, development history, main technology and economy of CBM field. The case library is based on the MVC development idea and adopts the object-oriented method. The analysis of data includes correlation analysis of single well production and quantitative gap analysis. The case library contains a number of typical case data, such as San Juan, Black warrior, Bowen, Surat, Qinshui, Hancheng, etc. The relevant parameters of different CBM fields can be quickly compared by using the case library. By mining the data such as coal rank, permeability, thickness, depth, gas content and proved reserves, the influence factors of single well production of CBM well are analyzed quantitatively. It is found that the thickness and permeability of coal seam have the greatest influence on single well production. Quantitative gap analysis shows that there is a large gap between the coal seam thickness, permeability, the gas drainage technology and well production improvement technology of domestic CBM fields compared with the foreign fields with the best development effect. Through the application of CBM case library, data is analyzed and utilized effectively and data values are fully exploited. This study provides an effective way to analyze the gap of CBM in China and draw lessons from abroad.
基于数据挖掘的CBM案例库的应用
中国煤层气工业的发展受到复杂的地质条件、技术优势和开发经验不足的制约。为解决这一问题,建立了一个涵盖国内外典型煤层气领域的案例库。通过数据分析和开采,比较了国内外煤层气田的差异,分析了影响煤层气单井产量的因素。本研究包括CBM领域的数据准备、案例库系统的建立、数据分析模型的建立和结果分析。案例库的资料涵盖了煤层气田的地质条件、开发历史、主要技术和经济等方面。案例库基于MVC开发思想,采用面向对象的方法。数据分析包括单井产量相关性分析和定量缺口分析。案例库包含圣胡安、黑武士、博文、苏拉特、沁水、汉城等一批典型案例资料。利用案例库可以快速比较不同CBM字段的相关参数。通过对煤阶、渗透率、厚度、深度、含气量、探明储量等数据的挖掘,定量分析了煤层气单井产量的影响因素。研究发现,煤层厚度和渗透率对单井产量影响最大。定量差距分析表明,与国外开发效果最好的气田相比,国内煤层气田在煤层厚度、渗透率、瓦斯抽采技术、增产技术等方面存在较大差距。通过CBM案例库的应用,有效地分析和利用了数据,充分发挥了数据的价值。本研究为分析中国煤层气发展的差距和借鉴国外经验提供了有效途径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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