Entropy-Kmeans方法在煤层气开发前景评价中的应用
Application of Entropy-Kmeans in Evaluation of Coalbed Methane Development Prospect
-
摘要: 以彬长矿区某井田4#煤为例,通过综合分析确定了影响煤层气开发前景的主要因素,建立了该井田低煤阶煤层气开发前景评价体系。在此基础上利用熵权法(Entropy method)确定各影响因素的权重,通过K均值聚类法对评价结果进行划分,运用MapGIS圈定不同类型开发前景分区,从而克服了现行煤层气开发前景评价方法的某些局限性,提高了开发有利区域预测的准确性。研究认为:影响该井田4#煤煤层气开发前景的主要因素是资源条件(含气量、灰分、煤层净厚度)、赋存条件(构造位置、顶板厚度)、开发条件(渗透率、埋深);开发前景分为5类:极有利区、有利区、较有利区、中等区和不利区,有利区域主要分布在井田东北部。Abstract: This paper takes No.4 coal in a mine field in Binchang Mining Area as an example, the main factors affecting the development prospect of coalbed methane are determined through comprehensive analysis, and the evaluation system of the development prospect of coalbed methane is established. Based on that, entropy method is used to determine the weight of each influencing factor, the evaluation results are divided by the K-means clustering method, and MapGIS is used to delineate different types of development prospect, thereby overcoming some limitations of the current evaluation methods of coalbed methane development prospect, and improving the accuracy of prediction of favorable areas for development. The research believes that the main factors affecting the development prospect of the No.4 coalbed methane are resource conditions(gas content, ash content, net thickness of coal seam), occurrence conditions (tectonic location, roof thickness), and development conditions (permeability, burial depth); development prospect are divided into 5 categories: extremely favorable area, favorable area, relatively favorable area, medium area and unfavorable area. The favorable areas are mainly distributed in the northeast of the mine field.
-
Keywords:
- coalbed methane /
- development prospect evaluation /
- entropy /
- evaluation index /
- K-means clustering
-
-
[1] 陈晓智,汤达祯,许浩,等.低、中煤阶煤层气地质选区评价体系[J].吉林大学学报(地球科学版),2012,42(S2):115-120. [2] 王博洋,秦勇,申建,等.我国低煤阶煤煤层气地质研究综述[J].煤炭科学技术,2017,45(1):170-179. [3] 王生全,薛龙,马荷雯,等.大佛寺煤矿低煤阶煤层气地面开采选区评价[J].西安科技大学学报,2015,35(4):421-425. [4] 王传涛,马东民,夏玉成,等.彬长大佛寺井田低煤阶煤层气直井产气差异性评价[J].煤田地质与勘探,2018,46(1):86-91. [5] 王鹏,李图南.基于MapGIS的大佛寺井田煤层气资源有利区预测[J].煤炭科学技术,2019,47(5):193. [6] 孔锐,张哨楠.煤层气储层评价方法的选择[J].地质通报,2012,31(4):586-593. [7] 曹石榴.大佛寺煤层气直井排采特征及煤储层参数反演[D].西安:西安科技大学,2016. [8] 陈龙,徐建民,张河,等.大佛寺区块煤层气勘探开发现状及建议[J].中国煤层气,2017(6):33-37. [9] H Xu, D Z Tang, D M Liu, et al. Study on coalbed methane accumulation characteristics and favorable areas in the Binchang area, southwestern Ordos Basin, China[J]. International Journal of Coal Geology, 2012, 95(2): 1-11. [10] 刘大锰,姚艳斌,蔡益栋,等.煤层气储层地质与动态评价研究进展[J].煤炭科学技术,2010,38(11):10. [11] 魏新杰.万年矿井田瓦斯地质规律[J].煤矿安全,2015,46(2):155-157. [12] 孔祥文,赵庆波,孙粉锦,等.煤层气高产富集规律及开采特征研究新进展[J].天然气地球科学,2011,22(4):738-746. [13] 赵少磊,朱炎铭,曹新款,等.地质构造对煤层气井产能的控制机理与规律[J].煤炭科学技术,2012,40(9):108-111. [14] 李梦溪,刘庆昌,张建国,等.构造模式与煤层气井产能的关系-以晋城煤区为例[J].天然气工业,2010, 30(11):10-13. [15] PENG Cheng, ZOU Changchun, ZHOU Tianning, et al. Factors affecting coalbed methane (CBM) well productivity in the Shizhuangnan block of southern Qinshui basin,North China:Investigation by geophysical log, experiment and production data[J]. Fuel, 2017, 191: 427-441. [16] 薄冬梅,赵永军,姜林,等.煤层气储层渗透性研究进展[J].西南石油大学学报(自然科学版),2008,30(6):31-34. [17] 姚艳斌,刘大锰,刘志华,等.煤层气储层综合评价要素与评价体系[C]//煤层气学术研讨会.北京:中国煤炭学会,2008. [18] 逄思宇,贺小黑.地应力对煤层气勘探与开发的影响[J].中国矿业,2014,23(S2):173-177. [19] 张旭峰.陕西彬长矿区低阶煤地面煤层气开发方式[J].资源与产业,2018,20(1):34-38. [20] 杨玉平.人工神经网络Visual C++实现及其在煤层气资源量预测中的应用[D].青岛:中国石油大学,2008. -
期刊类型引用(2)
1. 陈跃，王丽雅，李国富，张林，杨甫，马卓远，高正. 基于随机森林算法的低煤阶煤层气开发选区预测. 油气藏评价与开发. 2022(04): 596-603+616 . 
百度学术
2. 康玮，曹文庚，徐丽霞，南天，高媛媛，聂子一. 基于k-means聚类与泰森去丛聚的代表性地下水位计算方法. 南水北调与水利科技(中英文). 2022(05): 876-885 . 百度学术
其他类型引用(2)
计量
- 文章访问数: 20
- HTML全文浏览量: 0
- PDF下载量: 0
- 被引次数: 4
下载:
