基于煤田地质勘察数据的煤层气预测分析方法研究

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英文篇名：Study on Coalbed Methane Prediction and Analysis Method Based on Coalfield Geological Survey Data 作者：梁顺文 ; 方凯田 英文作者：LIANG Shunwen;FANG Kaitian;College of Safety Science and Engineering,Xi'an University of Science and Technology;Gansu Energy Group Co.,Ltd.; 关键词：地质勘察 ; 煤层气 ; 数据信息 ; 含气量 英文关键词：geological survey;;coalbed methane;;data information;;gas content 中文刊名：能源与节能 英文刊名：Energy and Energy Conservation 机构：西安科技大学安全科学与工程学院;甘肃能源集团有限责任公司; 出版日期：2019-07-20 出版单位：能源与节能 年：2019 期：07 语种：中文; 页：120-122+125 页数：4 CN：14-1360/TD ISSN：2095-0802 分类号：P618.13

摘要

为高效开发利用陇东地区煤层气资源,建立深埋低阶煤地区煤层气开发模式,摸清煤层气赋存状况与资源丰度,以九龙川井田为目标,专门研究如何有效利用已有煤田地质勘察资料,对侏罗系延安组8#煤层进行煤层气含气量预测。在研究过程中,采用单因素分析、逐步回归分析、建立含气量预测模型、模型选择等多种技术分析方法,分析含气量与地质因素的关联度,优选数学模型,回归预测各勘察孔含气量,有效利用煤田地质勘察信息实现对煤层气资源/储量的初步评价,为后期区域煤层气勘察开发、采煤采气一体化整体规划实施提供了有力的技术支持。
        In order to effectively exploit and utilize the coalbed methane resources in Longdong District, this paper established the development model of coalbed methane in deep-buried low-rank coal areas, found out the occurrence status and resource abundance of coalbed methane, and took Jiulongchuan Minefield as the goal, specially studied how to effectively utilize the existing coalbed methane geological survey data and predict the coalbed methane content in 8# coal seam of Yan'an Formation of Jurassic. In the process of research, this paper adopted many technical analysis methods, such as single factor analysis, stepwise regression analysis, establishment of gas content prediction model and model selection, to analyze the correlation degree between gas content and geological factors, optimize mathematical model, predict the gas content of each exploration hole by regression,effectively utilize the information of coalfield geological survey to realize the preliminary evaluation of coalbed methane resources/reserves, and provide strong technical support for the later regional coalbed methane exploration and development and the implementation of integrated planning of coal mining and gas production.

引文

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