煤炭地下气化选址决策系统研发及应用  

Development and application of site selection decision-making system for underground coal gasification

作　　者：黄温钢[1] 王国志 王旭航 班万沄 黄润林 高哲 罗玮 王作棠[3] HUANG Wengang;WANG Guozhi;WANG Xuhang;BAN Wanyun;HUANG Runlin;GAO Zhe;LUO Wei;WANG Zuotang(State Key Laboratory for Fine Exploration and Intelligent Development of Coal Resources,China University of Mining and Technology,Xuzhou,Jiangsu 221116,China;School of Earth Sciences,East China University of Technology,Nanchang,Jiangxi 330013,China;School of Mines,China University of Mining and Technology,Xuzhou,Jiangsu 221116,China)

机构地区：[1]中国矿业大学煤炭精细勘探与智能开发全国重点实验室,江苏徐州221116 [2]东华理工大学地球科学学院,江西南昌3330013 [3]中国矿业大学矿业工程学院,江苏徐州221116

出　　处：《采矿与安全工程学报》2025年第2期382-393,共12页Journal of Mining & Safety Engineering

基　　金：国家自然科学基金项目(52364007);煤炭精细勘探与智能开发全国重点实验室自主课题(SKLCRSM23X004);江西省自然科学基金项目(20224BAB203049)。

摘　　要：煤炭地下气化(UCG)是实现“双碳”目标的重要技术路径,构建科学的选址方法是其产业化进程中的首要任务。为此,构建了一种UCG选址决策理论模型,步骤如下:1)系统分析了UCG选址不当引发的潜在风险,从煤质特性、地质构造、水文地质、煤层赋存和顶板岩性5个维度,选取23个主控因素作为评价指标,搭建了UCG选址决策评价指标体系,将其作为评价指标集;2)将评语等级划分为适宜、基本适宜和不适宜,并确定各指标的分级界定值;3)借助模糊数学理论计算各类指标的隶属度,并构造模糊判断矩阵;4)分别采用改进层次分析法、熵权法和博弈论确定指标的主观、客观和组合权重;5)利用指标组合权重和模糊判断矩阵计算评价结果。基于上述流程,采用Python语言开发了一款UCG选址决策系统,可基于预选区评价指标属性值直接获得其资源条件对UCG技术的适宜程度,并以文本和图表两种形式输出结果;将其用于评价3个UCG工业性试验区和7个可行性研究区的资源条件适宜性,评价结果与实际运行效果基本一致,证实了系统具有可靠性强、使用简便、运算速度快、结果直观等优点。研究成果可为UCG选址的便捷化、数字化、精准化提供技术支撑。Underground coal gasification(UCG)is an important technological pathway to achieve the emission peak and carbon neutrality goals,and establishing a scientific site selection method is the primary task in its industrialization process.To this end,a theoretical model for UCG site selection decision-making was constructed with the following steps:1)The potential risks associated with improper UCG site selection was systematically analyzed.Subsequently,23 key factors were selected as evaluation indicators from five dimensions,i.e.,coal quality characteristics,geological structure,hydrogeological conditions,coal seam occurrence,and roof lithology.These key factors formed an evaluation index system for UCG site selection decisions,serving as the evaluation indicator set.2)The evaluation grades were classified as suitable,basically suitable,and unsuitable,and the grading thresholds for each indicator were determined.3)The membership degrees of various indicators were calculated under the guidance of the fuzzy mathematics theory,and a fuzzy judgment matrix was formulated.4)The subjective,objective,and combined weights of the indicators were determined using the improved analytic hierarchy process,the entropy weight method,and the game theory,respectively.5)The evaluation results were calculated using the combined weights of the indicators and the fuzzy judgment matrix.Based on the above process,a UCG site selection decision-making system was developed with the aid of Python.This system can directly evaluate the suitability of resource conditions for UCG technology based on the attribute values of evaluation indicators in pre-selected areas and output the results in both text and graphical forms.It was then applied to evaluate the suitability of resource conditions in three UCG industrial trial areas and seven feasibility study areas.The evaluation results are consistent with the actual operation outcomes,which confirms the system's advantages of strong reliability,ease of use,high computation speed,and intuitive results.

关 键 词：煤炭地下气化(UCG) 选址 博弈论 评价模型 PYTHON 软件开发 

分 类 号：TD84[矿业工程—煤矿开采] TP319[矿业工程—矿山开采]